From 1a47a51f1b32b769336207563610535afccd8d36 Mon Sep 17 00:00:00 2001 From: Tamas Nemeth Date: Mon, 31 Jul 2023 16:13:07 +0200 Subject: [PATCH 01/10] fix(ingest/build): Fix sagemaker mypy and flake8 issues (#8530) --- .../aws/sagemaker_processors/feature_groups.py | 4 ++-- metadata-ingestion/src/datahub/utilities/mapping.py | 8 ++++---- metadata-ingestion/src/datahub_provider/_plugin.py | 2 +- .../operators/datahub_assertion_operator.py | 4 ++-- .../operators/datahub_assertion_sensor.py | 4 ++-- .../operators/datahub_operation_operator.py | 4 ++-- .../operators/datahub_operation_sensor.py | 4 ++-- metadata-ingestion/tests/unit/test_glue_source.py | 2 +- metadata-ingestion/tests/unit/test_kafka_source.py | 12 ++++++++---- .../unit/utilities/test_file_backed_collections.py | 2 +- 10 files changed, 25 insertions(+), 21 deletions(-) diff --git a/metadata-ingestion/src/datahub/ingestion/source/aws/sagemaker_processors/feature_groups.py b/metadata-ingestion/src/datahub/ingestion/source/aws/sagemaker_processors/feature_groups.py index 75fae47c966fd..b8b96c6306a3b 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/aws/sagemaker_processors/feature_groups.py +++ b/metadata-ingestion/src/datahub/ingestion/source/aws/sagemaker_processors/feature_groups.py @@ -24,7 +24,7 @@ from mypy_boto3_sagemaker import SageMakerClient from mypy_boto3_sagemaker.type_defs import ( DescribeFeatureGroupResponseTypeDef, - FeatureDefinitionOutputTypeDef, + FeatureDefinitionTypeDef, FeatureGroupSummaryTypeDef, ) @@ -147,7 +147,7 @@ def get_feature_type(self, aws_type: str, feature_name: str) -> str: def get_feature_wu( self, feature_group_details: "DescribeFeatureGroupResponseTypeDef", - feature: "FeatureDefinitionOutputTypeDef", + feature: "FeatureDefinitionTypeDef", ) -> MetadataWorkUnit: """ Generate an MLFeature workunit for a SageMaker feature. diff --git a/metadata-ingestion/src/datahub/utilities/mapping.py b/metadata-ingestion/src/datahub/utilities/mapping.py index e7c60435e13f8..32666ceecdf85 100644 --- a/metadata-ingestion/src/datahub/utilities/mapping.py +++ b/metadata-ingestion/src/datahub/utilities/mapping.py @@ -252,11 +252,11 @@ def sanitize_owner_ids(self, owner_id: str) -> str: def get_match(self, match_clause: Any, raw_props_value: Any) -> Optional[Match]: # function to check if a match clause is satisfied to a value. - if type(raw_props_value) not in Constants.OPERAND_DATATYPE_SUPPORTED or type( - raw_props_value - ) != type(match_clause): + if not any( + isinstance(raw_props_value, t) for t in Constants.OPERAND_DATATYPE_SUPPORTED + ) or not isinstance(raw_props_value, type(match_clause)): return None - elif type(raw_props_value) == str: + elif isinstance(raw_props_value, str): return re.match(match_clause, raw_props_value) else: return re.match(str(match_clause), str(raw_props_value)) diff --git a/metadata-ingestion/src/datahub_provider/_plugin.py b/metadata-ingestion/src/datahub_provider/_plugin.py index b4ac5a36c6eae..6f6c7c9ab71b7 100644 --- a/metadata-ingestion/src/datahub_provider/_plugin.py +++ b/metadata-ingestion/src/datahub_provider/_plugin.py @@ -107,7 +107,7 @@ def get_inlets_from_task(task: BaseOperator, context: Any) -> Iterable[Any]: ] for inlet in task_inlets: - if type(inlet) != str: + if isinstance(inlet, str): inlets.append(inlet) return inlets diff --git a/metadata-ingestion/src/datahub_provider/operators/datahub_assertion_operator.py b/metadata-ingestion/src/datahub_provider/operators/datahub_assertion_operator.py index 89a037324e7cb..28be8ad860179 100644 --- a/metadata-ingestion/src/datahub_provider/operators/datahub_assertion_operator.py +++ b/metadata-ingestion/src/datahub_provider/operators/datahub_assertion_operator.py @@ -62,9 +62,9 @@ def execute(self, context: Any) -> bool: return True self.log.info(f"Checking if dataset {self.urn} is ready to be consumed") - if type(self.urn) == str: + if isinstance(self.urn, str): urns = [self.urn] - elif type(self.urn) == list: + elif isinstance(self.urn, list): urns = self.urn else: raise Exception(f"urn parameter has invalid type {type(self.urn)}") diff --git a/metadata-ingestion/src/datahub_provider/operators/datahub_assertion_sensor.py b/metadata-ingestion/src/datahub_provider/operators/datahub_assertion_sensor.py index 55a3492f9c8d6..ceb970dd8dc7f 100644 --- a/metadata-ingestion/src/datahub_provider/operators/datahub_assertion_sensor.py +++ b/metadata-ingestion/src/datahub_provider/operators/datahub_assertion_sensor.py @@ -61,9 +61,9 @@ def poke(self, context: Any) -> bool: return True self.log.info(f"Checking if dataset {self.urn} is ready to be consumed") - if type(self.urn) == str: + if isinstance(self.urn, str): urns = [self.urn] - elif type(self.urn) == list: + elif isinstance(self.urn, list): urns = self.urn else: raise Exception(f"urn parameter has invalid type {type(self.urn)}") diff --git a/metadata-ingestion/src/datahub_provider/operators/datahub_operation_operator.py b/metadata-ingestion/src/datahub_provider/operators/datahub_operation_operator.py index e5e45c2bf4694..6b2535994c101 100644 --- a/metadata-ingestion/src/datahub_provider/operators/datahub_operation_operator.py +++ b/metadata-ingestion/src/datahub_provider/operators/datahub_operation_operator.py @@ -76,9 +76,9 @@ def execute(self, context: Any) -> bool: return True self.log.info(f"Checking if dataset {self.urn} is ready to be consumed") - if type(self.urn) == str: + if isinstance(self.urn, str): urns = [self.urn] - elif type(self.urn) == list: + elif isinstance(self.urn, list): urns = self.urn else: raise Exception(f"urn parameter has invalid type {type(self.urn)}") diff --git a/metadata-ingestion/src/datahub_provider/operators/datahub_operation_sensor.py b/metadata-ingestion/src/datahub_provider/operators/datahub_operation_sensor.py index 31b387a7e65b0..8796215453500 100644 --- a/metadata-ingestion/src/datahub_provider/operators/datahub_operation_sensor.py +++ b/metadata-ingestion/src/datahub_provider/operators/datahub_operation_sensor.py @@ -78,9 +78,9 @@ def poke(self, context: Any) -> bool: return True self.log.info(f"Checking if dataset {self.urn} is ready to be consumed") - if type(self.urn) == str: + if isinstance(self.urn, str): urns = [self.urn] - elif type(self.urn) == list: + elif isinstance(self.urn, list): urns = self.urn else: raise Exception(f"urn parameter has invalid type {type(self.urn)}") diff --git a/metadata-ingestion/tests/unit/test_glue_source.py b/metadata-ingestion/tests/unit/test_glue_source.py index 23dc3b97e09b5..8fb840ee003c7 100644 --- a/metadata-ingestion/tests/unit/test_glue_source.py +++ b/metadata-ingestion/tests/unit/test_glue_source.py @@ -89,7 +89,7 @@ def test_column_type(hive_column_type: str, expected_type: Type) -> None: ) schema_fields = avro_schema_to_mce_fields(json.dumps(avro_schema)) actual_schema_field_type = schema_fields[0].type - assert type(actual_schema_field_type.type) == expected_type + assert isinstance(actual_schema_field_type.type, expected_type) @pytest.mark.parametrize( diff --git a/metadata-ingestion/tests/unit/test_kafka_source.py b/metadata-ingestion/tests/unit/test_kafka_source.py index 33496b868adb7..b48ebf12ee37a 100644 --- a/metadata-ingestion/tests/unit/test_kafka_source.py +++ b/metadata-ingestion/tests/unit/test_kafka_source.py @@ -132,7 +132,9 @@ def test_kafka_source_workunits_with_platform_instance(mock_kafka, mock_admin_cl # DataPlatform aspect should be present when platform_instance is configured data_platform_aspects = [ - asp for asp in proposed_snap.aspects if type(asp) == DataPlatformInstanceClass + asp + for asp in proposed_snap.aspects + if isinstance(asp, DataPlatformInstanceClass) ] assert len(data_platform_aspects) == 1 assert data_platform_aspects[0].instance == make_dataplatform_instance_urn( @@ -141,7 +143,7 @@ def test_kafka_source_workunits_with_platform_instance(mock_kafka, mock_admin_cl # The default browse path should include the platform_instance value browse_path_aspects = [ - asp for asp in proposed_snap.aspects if type(asp) == BrowsePathsClass + asp for asp in proposed_snap.aspects if isinstance(asp, BrowsePathsClass) ] assert len(browse_path_aspects) == 1 assert f"/prod/{PLATFORM}/{PLATFORM_INSTANCE}" in browse_path_aspects[0].paths @@ -177,13 +179,15 @@ def test_kafka_source_workunits_no_platform_instance(mock_kafka, mock_admin_clie # DataPlatform aspect should not be present when platform_instance is not configured data_platform_aspects = [ - asp for asp in proposed_snap.aspects if type(asp) == DataPlatformInstanceClass + asp + for asp in proposed_snap.aspects + if isinstance(asp, DataPlatformInstanceClass) ] assert len(data_platform_aspects) == 0 # The default browse path should include the platform_instance value browse_path_aspects = [ - asp for asp in proposed_snap.aspects if type(asp) == BrowsePathsClass + asp for asp in proposed_snap.aspects if isinstance(asp, BrowsePathsClass) ] assert len(browse_path_aspects) == 1 assert f"/prod/{PLATFORM}" in browse_path_aspects[0].paths diff --git a/metadata-ingestion/tests/unit/utilities/test_file_backed_collections.py b/metadata-ingestion/tests/unit/utilities/test_file_backed_collections.py index 582e3814c4f6d..2d7556eb88341 100644 --- a/metadata-ingestion/tests/unit/utilities/test_file_backed_collections.py +++ b/metadata-ingestion/tests/unit/utilities/test_file_backed_collections.py @@ -256,7 +256,7 @@ def test_shared_connection() -> None: iterator = cache2.sql_query_iterator( f"SELECT y, sum(x) FROM {cache2.tablename} GROUP BY y ORDER BY y" ) - assert type(iterator) == sqlite3.Cursor + assert isinstance(iterator, sqlite3.Cursor) assert [tuple(r) for r in iterator] == [("a", 15), ("b", 11)] # Test joining between the two tables. From f884eb8791e57fa3cfd02accf3195ada63b97bd8 Mon Sep 17 00:00:00 2001 From: Gabe Lyons Date: Mon, 31 Jul 2023 16:34:47 -0700 Subject: [PATCH 02/10] feat(siblings): hiding non-existant siblings in FE (#8528) --- .../shared/__tests__/siblingsUtils.test.ts | 178 ++++++++++++++++++ .../sidebar/SidebarSiblingsSection.tsx | 14 +- .../src/app/entity/shared/siblingUtils.ts | 7 +- .../src/app/search/SearchResultList.tsx | 4 +- datahub-web-react/src/graphql/dataset.graphql | 2 +- datahub-web-react/src/graphql/search.graphql | 2 + 6 files changed, 201 insertions(+), 6 deletions(-) diff --git a/datahub-web-react/src/app/entity/shared/__tests__/siblingsUtils.test.ts b/datahub-web-react/src/app/entity/shared/__tests__/siblingsUtils.test.ts index a15c4bc20ef29..6e23d5400ab77 100644 --- a/datahub-web-react/src/app/entity/shared/__tests__/siblingsUtils.test.ts +++ b/datahub-web-react/src/app/entity/shared/__tests__/siblingsUtils.test.ts @@ -195,6 +195,7 @@ const searchResultWithSiblings = [ { entity: { urn: 'urn:li:dataset:(urn:li:dataPlatform:bigquery,cypress_project.jaffle_shop.raw_orders,PROD)', + exists: true, type: 'DATASET', name: 'cypress_project.jaffle_shop.raw_orders', origin: 'PROD', @@ -328,6 +329,7 @@ const searchResultWithSiblings = [ siblings: [ { urn: 'urn:li:dataset:(urn:li:dataPlatform:dbt,cypress_project.jaffle_shop.raw_orders,PROD)', + exists: true, type: 'DATASET', platform: { urn: 'urn:li:dataPlatform:dbt', @@ -376,6 +378,7 @@ const searchResultWithSiblings = [ { entity: { urn: 'urn:li:dataset:(urn:li:dataPlatform:dbt,cypress_project.jaffle_shop.raw_orders,PROD)', + exists: true, type: 'DATASET', name: 'cypress_project.jaffle_shop.raw_orders', origin: 'PROD', @@ -513,6 +516,169 @@ const searchResultWithSiblings = [ }, ]; +const searchResultWithGhostSiblings = [ + { + entity: { + urn: 'urn:li:dataset:(urn:li:dataPlatform:bigquery,cypress_project.jaffle_shop.raw_orders,PROD)', + exists: true, + type: 'DATASET', + name: 'cypress_project.jaffle_shop.raw_orders', + origin: 'PROD', + uri: null, + platform: { + urn: 'urn:li:dataPlatform:bigquery', + type: 'DATA_PLATFORM', + name: 'bigquery', + properties: { + type: 'RELATIONAL_DB', + displayName: 'BigQuery', + datasetNameDelimiter: '.', + logoUrl: '/assets/platforms/bigquerylogo.png', + __typename: 'DataPlatformProperties', + }, + displayName: null, + info: null, + __typename: 'DataPlatform', + }, + dataPlatformInstance: null, + editableProperties: null, + platformNativeType: null, + properties: { + name: 'raw_orders', + description: null, + qualifiedName: null, + customProperties: [], + __typename: 'DatasetProperties', + }, + ownership: null, + globalTags: null, + glossaryTerms: null, + subTypes: { + typeNames: ['table'], + __typename: 'SubTypes', + }, + domain: null, + container: { + urn: 'urn:li:container:348c96555971d3f5c1ffd7dd2e7446cb', + platform: { + urn: 'urn:li:dataPlatform:bigquery', + type: 'DATA_PLATFORM', + name: 'bigquery', + properties: { + type: 'RELATIONAL_DB', + displayName: 'BigQuery', + datasetNameDelimiter: '.', + logoUrl: '/assets/platforms/bigquerylogo.png', + __typename: 'DataPlatformProperties', + }, + displayName: null, + info: null, + __typename: 'DataPlatform', + }, + properties: { + name: 'jaffle_shop', + __typename: 'ContainerProperties', + }, + subTypes: { + typeNames: ['Dataset'], + __typename: 'SubTypes', + }, + deprecation: null, + __typename: 'Container', + }, + parentContainers: { + count: 2, + containers: [ + { + urn: 'urn:li:container:348c96555971d3f5c1ffd7dd2e7446cb', + platform: { + urn: 'urn:li:dataPlatform:bigquery', + type: 'DATA_PLATFORM', + name: 'bigquery', + properties: { + type: 'RELATIONAL_DB', + displayName: 'BigQuery', + datasetNameDelimiter: '.', + logoUrl: '/assets/platforms/bigquerylogo.png', + __typename: 'DataPlatformProperties', + }, + displayName: null, + info: null, + __typename: 'DataPlatform', + }, + properties: { + name: 'jaffle_shop', + __typename: 'ContainerProperties', + }, + subTypes: { + typeNames: ['Dataset'], + __typename: 'SubTypes', + }, + deprecation: null, + __typename: 'Container', + }, + { + urn: 'urn:li:container:b5e95fce839e7d78151ed7e0a7420d84', + platform: { + urn: 'urn:li:dataPlatform:bigquery', + type: 'DATA_PLATFORM', + name: 'bigquery', + properties: { + type: 'RELATIONAL_DB', + displayName: 'BigQuery', + datasetNameDelimiter: '.', + logoUrl: '/assets/platforms/bigquerylogo.png', + __typename: 'DataPlatformProperties', + }, + displayName: null, + info: null, + __typename: 'DataPlatform', + }, + properties: { + name: 'cypress_project', + __typename: 'ContainerProperties', + }, + subTypes: { + typeNames: ['Project'], + __typename: 'SubTypes', + }, + deprecation: null, + __typename: 'Container', + }, + ], + __typename: 'ParentContainersResult', + }, + deprecation: null, + siblings: { + isPrimary: false, + siblings: [ + { + urn: 'urn:li:dataset:(urn:li:dataPlatform:dbt,cypress_project.jaffle_shop.raw_orders,PROD)', + exists: false, + type: 'DATASET', + }, + ], + __typename: 'SiblingProperties', + }, + __typename: 'Dataset', + }, + matchedFields: [ + { + name: 'name', + value: 'raw_orders', + __typename: 'MatchedField', + }, + { + name: 'id', + value: 'cypress_project.jaffle_shop.raw_orders', + __typename: 'MatchedField', + }, + ], + insights: [], + __typename: 'SearchResult', + }, +]; + describe('siblingUtils', () => { describe('combineEntityDataWithSiblings', () => { it('combines my metadata with my siblings as primary', () => { @@ -564,6 +730,18 @@ describe('siblingUtils', () => { expect(result?.[0]?.matchedEntities?.[1]?.urn).toEqual( 'urn:li:dataset:(urn:li:dataPlatform:bigquery,cypress_project.jaffle_shop.raw_orders,PROD)', ); + + expect(result?.[0]?.matchedEntities).toHaveLength(2); + }); + + it('will not combine an entity with a ghost node', () => { + const result = combineSiblingsInSearchResults(searchResultWithGhostSiblings as any); + + expect(result).toHaveLength(1); + expect(result?.[0]?.matchedEntities?.[0]?.urn).toEqual( + 'urn:li:dataset:(urn:li:dataPlatform:bigquery,cypress_project.jaffle_shop.raw_orders,PROD)', + ); + expect(result?.[0]?.matchedEntities).toHaveLength(1); }); }); diff --git a/datahub-web-react/src/app/entity/shared/containers/profile/sidebar/SidebarSiblingsSection.tsx b/datahub-web-react/src/app/entity/shared/containers/profile/sidebar/SidebarSiblingsSection.tsx index 4b0089e6b9214..4ea1ab69e44b3 100644 --- a/datahub-web-react/src/app/entity/shared/containers/profile/sidebar/SidebarSiblingsSection.tsx +++ b/datahub-web-react/src/app/entity/shared/containers/profile/sidebar/SidebarSiblingsSection.tsx @@ -4,7 +4,7 @@ import styled from 'styled-components'; import { useDataNotCombinedWithSiblings, useEntityData } from '../../../EntityContext'; import { SidebarHeader } from './SidebarHeader'; import { CompactEntityNameList } from '../../../../../recommendations/renderer/component/CompactEntityNameList'; -import { Entity } from '../../../../../../types.generated'; +import { Dataset, Entity } from '../../../../../../types.generated'; import { SEPARATE_SIBLINGS_URL_PARAM, stripSiblingsFromEntity, useIsSeparateSiblingsMode } from '../../../siblingUtils'; import { GetDatasetQuery } from '../../../../../../graphql/dataset.generated'; @@ -36,14 +36,22 @@ export const SidebarSiblingsSection = () => { const siblingEntities = entityData?.siblings?.siblings || []; const entityDataWithoutSiblings = stripSiblingsFromEntity(dataNotCombinedWithSiblings.dataset); - const allSiblingsInGroup = [...siblingEntities, entityDataWithoutSiblings] as Entity[]; + const allSiblingsInGroup = [...siblingEntities, entityDataWithoutSiblings] as Dataset[]; + + const allSiblingsInGroupThatExist = allSiblingsInGroup.filter((sibling) => sibling.exists); + + // you are always going to be in the sibling group, so if the sibling group is just you do not render. + // The less than case is likely not neccessary but just there as a safety case for unexpected scenarios + if (allSiblingsInGroupThatExist.length <= 1) { + return <>; + } return (
diff --git a/datahub-web-react/src/app/entity/shared/siblingUtils.ts b/datahub-web-react/src/app/entity/shared/siblingUtils.ts index 47687e4050b9b..2cad28d754a80 100644 --- a/datahub-web-react/src/app/entity/shared/siblingUtils.ts +++ b/datahub-web-react/src/app/entity/shared/siblingUtils.ts @@ -2,7 +2,7 @@ import merge from 'deepmerge'; import { unionBy, keyBy, values } from 'lodash'; import { useLocation } from 'react-router-dom'; import * as QueryString from 'query-string'; -import { Entity, MatchedField, Maybe, SiblingProperties } from '../../../types.generated'; +import { Dataset, Entity, MatchedField, Maybe, SiblingProperties } from '../../../types.generated'; export function stripSiblingsFromEntity(entity: any) { return { @@ -235,6 +235,11 @@ export function combineSiblingsInSearchResults( combinedResult.matchedEntities = entity.siblings.isPrimary ? [stripSiblingsFromEntity(entity), ...entity.siblings.siblings] : [...entity.siblings.siblings, stripSiblingsFromEntity(entity)]; + + combinedResult.matchedEntities = combinedResult.matchedEntities.filter( + (resultToFilter) => (resultToFilter as Dataset).exists, + ); + siblingUrns.forEach((urn) => { siblingsToPair[urn] = combinedResult; }); diff --git a/datahub-web-react/src/app/search/SearchResultList.tsx b/datahub-web-react/src/app/search/SearchResultList.tsx index a793348db6f1d..b860e7b670c33 100644 --- a/datahub-web-react/src/app/search/SearchResultList.tsx +++ b/datahub-web-react/src/app/search/SearchResultList.tsx @@ -151,7 +151,9 @@ export const SearchResultList = ({ )} {entityRegistry.renderSearchResult(item.entity.type, item)} - {item.matchedEntities && item.matchedEntities.length > 0 && ( + {/* an entity is always going to be inserted in the sibling group, so if the sibling group is just one do not + render. */} + {item.matchedEntities && item.matchedEntities.length > 1 && ( Date: Mon, 31 Jul 2023 19:48:05 -0700 Subject: [PATCH 03/10] fix(ingest): pin boto3-stubs in CI (#8527) Co-authored-by: Tamas Nemeth --- metadata-ingestion/setup.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/metadata-ingestion/setup.py b/metadata-ingestion/setup.py index 5498c96d91af6..d6738f4b9782c 100644 --- a/metadata-ingestion/setup.py +++ b/metadata-ingestion/setup.py @@ -401,7 +401,9 @@ def get_long_description(): "types-cachetools", # versions 0.1.13 and 0.1.14 seem to have issues "types-click==0.1.12", - "boto3-stubs[s3,glue,sagemaker,sts]>=1.28.4", + # The boto3-stubs package seems to have regularly breaking minor releases, + # we pin to a specific version to avoid this. + "boto3-stubs[s3,glue,sagemaker,sts]==1.28.15", "types-tabulate", # avrogen package requires this "types-pytz", From 0593e2355868e3c16afd89eef246cae357c07e75 Mon Sep 17 00:00:00 2001 From: Shirshanka Das Date: Tue, 1 Aug 2023 01:00:51 -0700 Subject: [PATCH 04/10] docs: small update to homepage (#8483) Co-authored-by: Chris Collins --- docs-website/src/pages/_components/Hero/index.js | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/docs-website/src/pages/_components/Hero/index.js b/docs-website/src/pages/_components/Hero/index.js index ad6aa5f5dadba..b5fa04c80faee 100644 --- a/docs-website/src/pages/_components/Hero/index.js +++ b/docs-website/src/pages/_components/Hero/index.js @@ -27,11 +27,14 @@ const Hero = ({}) => { {/* HeroAnnouncement goes here */}
-

The #1 Open Source Data Catalog

+

The #1 Open Source Metadata Platform

- DataHub's extensible metadata platform enables data discovery, data observability and federated governance that helps tame the + DataHub is an extensible metadata platform that enables data discovery, data observability and federated governance to help tame the complexity of your data ecosystem.

+

+Built with ❤️ by Acryl Data and LinkedIn. +

Get Started → From 09ef6e080ce89b99ee6489d7ff56f311dce911ce Mon Sep 17 00:00:00 2001 From: Aseem Bansal Date: Tue, 1 Aug 2023 19:31:26 +0530 Subject: [PATCH 05/10] fix(ingest): remove duplication of tags (#8532) --- .../datahub/ingestion/transformer/dataset_transformer.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/metadata-ingestion/src/datahub/ingestion/transformer/dataset_transformer.py b/metadata-ingestion/src/datahub/ingestion/transformer/dataset_transformer.py index 0753d6c3fd830..0b2433c3a1fe2 100644 --- a/metadata-ingestion/src/datahub/ingestion/transformer/dataset_transformer.py +++ b/metadata-ingestion/src/datahub/ingestion/transformer/dataset_transformer.py @@ -75,7 +75,11 @@ def update_if_keep_existing( ) -> None: """Check if user want to keep existing tags""" if in_global_tags_aspect is not None and config.replace_existing is False: - out_global_tags_aspect.tags.extend(in_global_tags_aspect.tags) + tags_seen = set() + for item in in_global_tags_aspect.tags: + if item.tag not in tags_seen: + out_global_tags_aspect.tags.append(item) + tags_seen.add(item.tag) @staticmethod def get_result_semantics( From a9bc5643f3ad20eea4ac31a98328d5c02f36b1a7 Mon Sep 17 00:00:00 2001 From: Harshal Sheth Date: Tue, 1 Aug 2023 07:04:11 -0700 Subject: [PATCH 06/10] ci: reduce git fetch depth (#8473) --- .github/workflows/build-and-test.yml | 2 +- .github/workflows/check-datahub-jars.yml | 2 +- .github/workflows/code-checks.yml | 2 +- .github/workflows/docker-ingestion-base.yml | 2 +- .github/workflows/docker-ingestion-smoke.yml | 2 +- .github/workflows/docker-ingestion.yml | 2 +- .github/workflows/docker-postgres-setup.yml | 2 +- .github/workflows/docker-unified.yml | 16 ++++++++-------- .github/workflows/publish-datahub-jars.yml | 2 +- 9 files changed, 16 insertions(+), 16 deletions(-) diff --git a/.github/workflows/build-and-test.yml b/.github/workflows/build-and-test.yml index d266e1a7fd31f..f6320e1bd5c9f 100644 --- a/.github/workflows/build-and-test.yml +++ b/.github/workflows/build-and-test.yml @@ -43,7 +43,7 @@ jobs: timezoneLinux: ${{ matrix.timezone }} - uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Set up JDK 11 uses: actions/setup-java@v3 with: diff --git a/.github/workflows/check-datahub-jars.yml b/.github/workflows/check-datahub-jars.yml index a8e6c611bc8f9..735ea1e56b169 100644 --- a/.github/workflows/check-datahub-jars.yml +++ b/.github/workflows/check-datahub-jars.yml @@ -38,7 +38,7 @@ jobs: steps: - uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Set up JDK 11 uses: actions/setup-java@v3 with: diff --git a/.github/workflows/code-checks.yml b/.github/workflows/code-checks.yml index 43a8835a37a8c..6ce19a5b4616e 100644 --- a/.github/workflows/code-checks.yml +++ b/.github/workflows/code-checks.yml @@ -38,7 +38,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - uses: actions/setup-python@v4 with: python-version: "3.10" diff --git a/.github/workflows/docker-ingestion-base.yml b/.github/workflows/docker-ingestion-base.yml index 64f94ef3225ce..0d29f79aa5f6c 100644 --- a/.github/workflows/docker-ingestion-base.yml +++ b/.github/workflows/docker-ingestion-base.yml @@ -30,7 +30,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Build and Push image uses: ./.github/actions/docker-custom-build-and-push with: diff --git a/.github/workflows/docker-ingestion-smoke.yml b/.github/workflows/docker-ingestion-smoke.yml index 70fcaacf8d12f..9e74f3a459378 100644 --- a/.github/workflows/docker-ingestion-smoke.yml +++ b/.github/workflows/docker-ingestion-smoke.yml @@ -53,7 +53,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Build and push uses: ./.github/actions/docker-custom-build-and-push with: diff --git a/.github/workflows/docker-ingestion.yml b/.github/workflows/docker-ingestion.yml index 6716026851739..f3768cfde5002 100644 --- a/.github/workflows/docker-ingestion.yml +++ b/.github/workflows/docker-ingestion.yml @@ -57,7 +57,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Build and push uses: ./.github/actions/docker-custom-build-and-push with: diff --git a/.github/workflows/docker-postgres-setup.yml b/.github/workflows/docker-postgres-setup.yml index ed2dc198aa6a8..a5d421d4b7ff5 100644 --- a/.github/workflows/docker-postgres-setup.yml +++ b/.github/workflows/docker-postgres-setup.yml @@ -48,7 +48,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Build and push uses: ./.github/actions/docker-custom-build-and-push with: diff --git a/.github/workflows/docker-unified.yml b/.github/workflows/docker-unified.yml index 65028fd260807..1eb2a393600d2 100644 --- a/.github/workflows/docker-unified.yml +++ b/.github/workflows/docker-unified.yml @@ -64,7 +64,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Pre-build artifacts for docker image run: | ./gradlew :metadata-service:war:build -x test --parallel @@ -122,7 +122,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Pre-build artifacts for docker image run: | ./gradlew :metadata-jobs:mae-consumer-job:build -x test --parallel @@ -180,7 +180,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Pre-build artifacts for docker image run: | ./gradlew :metadata-jobs:mce-consumer-job:build -x test --parallel @@ -238,7 +238,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Pre-build artifacts for docker image run: | ./gradlew :datahub-upgrade:build -x test --parallel @@ -296,7 +296,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Pre-build artifacts for docker image run: | ./gradlew :datahub-frontend:dist -x test -x yarnTest -x yarnLint --parallel @@ -356,7 +356,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Build and push uses: ./.github/actions/docker-custom-build-and-push with: @@ -378,7 +378,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Build and push uses: ./.github/actions/docker-custom-build-and-push with: @@ -400,7 +400,7 @@ jobs: - name: Check out the repo uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Build and push uses: ./.github/actions/docker-custom-build-and-push with: diff --git a/.github/workflows/publish-datahub-jars.yml b/.github/workflows/publish-datahub-jars.yml index 45fa677aede05..1a1523e8db1a1 100644 --- a/.github/workflows/publish-datahub-jars.yml +++ b/.github/workflows/publish-datahub-jars.yml @@ -50,7 +50,7 @@ jobs: steps: - uses: actions/checkout@v3 with: - fetch-depth: 0 + fetch-depth: 800 - name: Set up JDK 11 uses: actions/setup-java@v3 with: From ef3b9489aa24d09ad4546c0645cdb2880158148a Mon Sep 17 00:00:00 2001 From: VISHAL KUMAR <110387730+vishalkSimplify@users.noreply.github.com> Date: Tue, 1 Aug 2023 19:34:35 +0530 Subject: [PATCH 07/10] feat(ingest/vertica): performance improvement and bug fixes (#8328) Co-authored-by: Harshal Sheth --- .../source/builder/RecipeForm/constants.ts | 27 +- .../source/builder/RecipeForm/vertica.ts | 119 + .../app/ingest/source/builder/sources.json | 2 +- .../docs/sources/vertica/README.md | 1 - .../docs/sources/vertica/vertica_pre.md | 2 +- .../docs/sources/vertica/vertica_recipe.yml | 1 - metadata-ingestion/setup.py | 9 +- .../datahub/ingestion/source/sql/vertica.py | 682 +- .../tests/integration/vertica/ddl.sql | 46 + .../integration/vertica/docker-compose.yml | 3 +- .../tests/integration/vertica/test_vertica.py | 49 +- .../vertica/vertica_mces_with_db_golden.json | 10232 +++++++++++++++- .../integration/vertica/vertica_to_file.yml | 2 +- 13 files changed, 10631 insertions(+), 544 deletions(-) create mode 100644 datahub-web-react/src/app/ingest/source/builder/RecipeForm/vertica.ts create mode 100644 metadata-ingestion/tests/integration/vertica/ddl.sql diff --git a/datahub-web-react/src/app/ingest/source/builder/RecipeForm/constants.ts b/datahub-web-react/src/app/ingest/source/builder/RecipeForm/constants.ts index 44f48fa072cd8..351876fe6b16a 100644 --- a/datahub-web-react/src/app/ingest/source/builder/RecipeForm/constants.ts +++ b/datahub-web-react/src/app/ingest/source/builder/RecipeForm/constants.ts @@ -83,7 +83,7 @@ import { PROJECT_NAME, } from './lookml'; import { PRESTO, PRESTO_HOST_PORT, PRESTO_DATABASE, PRESTO_USERNAME, PRESTO_PASSWORD } from './presto'; -import { BIGQUERY_BETA, DBT_CLOUD, MYSQL, POWER_BI, UNITY_CATALOG } from '../constants'; +import { BIGQUERY_BETA, DBT_CLOUD, MYSQL, POWER_BI, UNITY_CATALOG, VERTICA } from '../constants'; import { BIGQUERY_BETA_PROJECT_ID, DATASET_ALLOW, DATASET_DENY, PROJECT_ALLOW, PROJECT_DENY } from './bigqueryBeta'; import { MYSQL_HOST_PORT, MYSQL_PASSWORD, MYSQL_USERNAME } from './mysql'; import { MSSQL, MSSQL_DATABASE, MSSQL_HOST_PORT, MSSQL_PASSWORD, MSSQL_USERNAME } from './mssql'; @@ -130,6 +130,17 @@ import { WORKSPACE_ID_DENY, } from './powerbi'; +import { + VERTICA_HOST_PORT, + VERTICA_DATABASE, + VERTICA_USERNAME, + VERTICA_PASSWORD, + INCLUDE_PROJECTIONS, + INCLUDE_MLMODELS, + INCLUDE_VIEW_LINEAGE, + INCLUDE_PROJECTIONS_LINEAGE, +} from './vertica'; + export enum RecipeSections { Connection = 0, Filter = 1, @@ -428,6 +439,20 @@ export const RECIPE_FIELDS: RecipeFields = { ], filterSectionTooltip: 'Include or exclude specific PowerBI Workspaces from ingestion.', }, + [VERTICA]: { + fields: [VERTICA_HOST_PORT, VERTICA_DATABASE, VERTICA_USERNAME, VERTICA_PASSWORD], + filterFields: [SCHEMA_ALLOW, SCHEMA_DENY, TABLE_ALLOW, TABLE_DENY, VIEW_ALLOW, VIEW_DENY], + advancedFields: [ + INCLUDE_TABLES, + INCLUDE_VIEWS, + INCLUDE_PROJECTIONS, + INCLUDE_MLMODELS, + INCLUDE_VIEW_LINEAGE, + INCLUDE_PROJECTIONS_LINEAGE, + TABLE_PROFILING_ENABLED, + ], + filterSectionTooltip: 'Include or exclude specific Schemas, Tables, Views and Projections from ingestion.', + }, }; export const CONNECTORS_WITH_FORM = new Set(Object.keys(RECIPE_FIELDS)); diff --git a/datahub-web-react/src/app/ingest/source/builder/RecipeForm/vertica.ts b/datahub-web-react/src/app/ingest/source/builder/RecipeForm/vertica.ts new file mode 100644 index 0000000000000..ae475d152d750 --- /dev/null +++ b/datahub-web-react/src/app/ingest/source/builder/RecipeForm/vertica.ts @@ -0,0 +1,119 @@ +import { get } from 'lodash'; +import { RecipeField, FieldType } from './common'; + +export const VERTICA_HOST_PORT: RecipeField = { + name: 'host_port', + label: 'Host and Port', + tooltip: + "The host and port where Vertica is running. For example, 'localhost:5433'. Note: this host must be accessible on the network where DataHub is running (or allowed via an IP Allow List, AWS PrivateLink, etc).", + type: FieldType.TEXT, + fieldPath: 'source.config.host_port', + placeholder: 'localhost:5433', + required: true, + rules: null, +}; + +export const VERTICA_DATABASE: RecipeField = { + name: 'database', + label: 'Database', + tooltip: 'Ingest metadata for a specific Database.', + type: FieldType.TEXT, + fieldPath: 'source.config.database', + placeholder: 'Vertica_Database', + required: true, + rules: null, +}; + +export const VERTICA_USERNAME: RecipeField = { + name: 'username', + label: 'Username', + tooltip: 'The Vertica username used to extract metadata.', + type: FieldType.TEXT, + fieldPath: 'source.config.username', + placeholder: 'Vertica_Username', + required: true, + rules: null, +}; + +export const VERTICA_PASSWORD: RecipeField = { + name: 'password', + label: 'Password', + tooltip: 'The Vertica password for the user.', + type: FieldType.SECRET, + fieldPath: 'source.config.password', + placeholder: 'Vertica_Password', + required: true, + rules: null, +}; + +const includeProjectionPath = 'source.config.include_projections'; +export const INCLUDE_PROJECTIONS: RecipeField = { + name: 'include_projections', + label: 'Include Projections', + tooltip: 'Extract Projections from source.', + type: FieldType.BOOLEAN, + fieldPath: includeProjectionPath, + // This is in accordance with what the ingestion sources do. + getValueFromRecipeOverride: (recipe: any) => { + const includeProjection = get(recipe, includeProjectionPath); + if (includeProjection !== undefined && includeProjection !== null) { + return includeProjection; + } + return true; + }, + rules: null, +}; + +const includemodelsPath = 'source.config.include_models'; +export const INCLUDE_MLMODELS: RecipeField = { + name: 'include_models', + label: 'Include ML Models', + tooltip: 'Extract ML models from source.', + type: FieldType.BOOLEAN, + fieldPath: includemodelsPath, + // This is in accordance with what the ingestion sources do. + getValueFromRecipeOverride: (recipe: any) => { + const includeModel = get(recipe, includemodelsPath); + if (includeModel !== undefined && includeModel !== null) { + return includeModel; + } + return true; + }, + rules: null, +}; + +const includeviewlineagePath = 'source.config.include_view_lineage'; +export const INCLUDE_VIEW_LINEAGE: RecipeField = { + name: 'include_view_lineage', + label: 'Include View Lineage', + tooltip: 'Extract View Lineage from source.', + type: FieldType.BOOLEAN, + fieldPath: includeviewlineagePath, + // This is in accordance with what the ingestion sources do. + getValueFromRecipeOverride: (recipe: any) => { + const includeviewlineage = get(recipe, includeviewlineagePath); + if (includeviewlineage !== undefined && includeviewlineage !== null) { + return includeviewlineage; + } + return true; + }, + rules: null, +}; + +const includeprojectionlineagePath = 'source.config.include_projection_lineage'; +export const INCLUDE_PROJECTIONS_LINEAGE: RecipeField = { + name: 'include_projection_lineage', + label: 'Include Projection Lineage', + tooltip: 'Extract Projection Lineage from source.', + type: FieldType.BOOLEAN, + fieldPath: includeprojectionlineagePath, + // This is in accordance with what the ingestion sources do. + getValueFromRecipeOverride: (recipe: any) => { + const includeprojectionlineage = get(recipe, includeprojectionlineagePath); + if (includeprojectionlineage !== undefined && includeprojectionlineage !== null) { + return includeprojectionlineage; + } + return true; + }, + rules: null, +}; diff --git a/datahub-web-react/src/app/ingest/source/builder/sources.json b/datahub-web-react/src/app/ingest/source/builder/sources.json index c9db0433b3aae..13643c58f72e1 100644 --- a/datahub-web-react/src/app/ingest/source/builder/sources.json +++ b/datahub-web-react/src/app/ingest/source/builder/sources.json @@ -200,7 +200,7 @@ "name": "vertica", "displayName": "Vertica", "docsUrl": "https://datahubproject.io/docs/generated/ingestion/sources/vertica/", - "recipe": "source:\n type: vertica\n config:\n # Coordinates\n host_port: localhost:5433\n # The name of the vertica database\n database: Vmart\n # Credentials\n username: dbadmin\n password:null\n include_tables: true\n include_views: true\n include_projections: true\n include_oauth: true\n include_models: true\n include_view_lineage: true\n include_projection_lineage: true\n profiling:\n enabled: true\n stateful_ingestion:\n enabled: true " + "recipe": "source:\n type: vertica\n config:\n # Coordinates\n host_port: localhost:5433\n # The name of the vertica database\n database: Database_Name\n # Credentials\n username: Vertica_User\n password: Vertica_Password\n\n include_tables: true\n include_views: true\n include_projections: true\n include_models: true\n include_view_lineage: true\n include_projection_lineage: true\n profiling:\n enabled: false\n stateful_ingestion:\n enabled: true " }, { "urn": "urn:li:dataPlatform:custom", diff --git a/metadata-ingestion/docs/sources/vertica/README.md b/metadata-ingestion/docs/sources/vertica/README.md index 3c41b744b321f..fb016fbdb2d28 100644 --- a/metadata-ingestion/docs/sources/vertica/README.md +++ b/metadata-ingestion/docs/sources/vertica/README.md @@ -8,7 +8,6 @@ The DataHub Vertica Plugin extracts the following: * Metadata for databases, schemas, views, tables, and projections * Table level lineage * Metadata for ML Models -* Metadata for Vertica OAuth ### Concept Mapping diff --git a/metadata-ingestion/docs/sources/vertica/vertica_pre.md b/metadata-ingestion/docs/sources/vertica/vertica_pre.md index dbcda212cf02f..a4e71de3c908c 100644 --- a/metadata-ingestion/docs/sources/vertica/vertica_pre.md +++ b/metadata-ingestion/docs/sources/vertica/vertica_pre.md @@ -2,5 +2,5 @@ In order to ingest metadata from Vertica, you will need: -- Vertica Server Version 10.1.1-0 and avobe. It may also work for older versions. +- Vertica Server Version 10.1.1-0 and above. It may also work with, but is not been tested with, older versions . - Vertica Credentials (Username/Password) diff --git a/metadata-ingestion/docs/sources/vertica/vertica_recipe.yml b/metadata-ingestion/docs/sources/vertica/vertica_recipe.yml index 88ac74cc22c5f..ad4f0173b0111 100644 --- a/metadata-ingestion/docs/sources/vertica/vertica_recipe.yml +++ b/metadata-ingestion/docs/sources/vertica/vertica_recipe.yml @@ -12,7 +12,6 @@ source: include_tables: true include_views: true include_projections: true - include_oauth: true include_models: true include_view_lineage: true include_projection_lineage: true diff --git a/metadata-ingestion/setup.py b/metadata-ingestion/setup.py index d6738f4b9782c..9940e8cdd0a97 100644 --- a/metadata-ingestion/setup.py +++ b/metadata-ingestion/setup.py @@ -374,7 +374,9 @@ def get_long_description(): "nifi": {"requests", "packaging", "requests-gssapi"}, "powerbi": microsoft_common | {"lark[regex]==1.1.4", "sqlparse"}, "powerbi-report-server": powerbi_report_server, - "vertica": sql_common | {"vertica-sqlalchemy-dialect[vertica-python]==0.0.1"}, + + "vertica": sql_common | {"vertica-sqlalchemy-dialect[vertica-python]==0.0.8"}, + "unity-catalog": databricks | sqllineage_lib, } @@ -488,7 +490,8 @@ def get_long_description(): "powerbi-report-server", "salesforce", "unity-catalog", - "nifi" + "nifi", + "vertica" # airflow is added below ] if plugin @@ -522,7 +525,7 @@ def get_long_description(): "mysql", "mariadb", "redash", - # "vertica", + "vertica", ] for dependency in plugins[plugin] ), diff --git a/metadata-ingestion/src/datahub/ingestion/source/sql/vertica.py b/metadata-ingestion/src/datahub/ingestion/source/sql/vertica.py index 37ccc1d1fedb5..3b70c476639a9 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/sql/vertica.py +++ b/metadata-ingestion/src/datahub/ingestion/source/sql/vertica.py @@ -1,15 +1,11 @@ import logging import traceback -from collections import defaultdict from dataclasses import dataclass -from textwrap import dedent from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Set, Tuple, Union import pydantic from pydantic.class_validators import validator -from sqlalchemy import create_engine, sql -from sqlalchemy.engine.reflection import Inspector -from sqlalchemy.exc import ProgrammingError +from vertica_sqlalchemy_dialect.base import VerticaInspector from datahub.configuration.common import AllowDenyPattern from datahub.emitter.mce_builder import ( @@ -63,24 +59,21 @@ class VerticaSourceReport(SQLSourceReport): projection_scanned: int = 0 models_scanned: int = 0 - oauth_scanned: int = 0 def report_entity_scanned(self, name: str, ent_type: str = "table") -> None: """ - Entity could be a projection or a models or Oauth . + Entity could be a projection or a model. """ if ent_type == "projection": self.projection_scanned += 1 elif ent_type == "models": self.models_scanned += 1 - elif ent_type == "oauth": - self.oauth_scanned += 1 else: super().report_entity_scanned(name, ent_type) -# Extended BasicSQLAlchemyConfig to config for projections,models and oauth metadata. +# Extended BasicSQLAlchemyConfig to config for projections,models metadata. class VerticaConfig(BasicSQLAlchemyConfig): models_pattern: AllowDenyPattern = pydantic.Field( default=AllowDenyPattern.allow_all(), @@ -92,13 +85,12 @@ class VerticaConfig(BasicSQLAlchemyConfig): include_models: Optional[bool] = pydantic.Field( default=True, description="Whether Models should be ingested." ) - include_oauth: Optional[bool] = pydantic.Field( - default=True, description="Whether Oauth should be ingested." - ) + include_view_lineage: Optional[bool] = pydantic.Field( default=True, description="If the source supports it, include view lineage to the underlying storage location.", ) + include_projection_lineage: Optional[bool] = pydantic.Field( default=True, description="If the source supports it, include view lineage to the underlying storage location.", @@ -132,10 +124,6 @@ def __init__(self, config: VerticaConfig, ctx: PipelineContext): # self.platform = platform super(VerticaSource, self).__init__(config, ctx, "vertica") self.report: SQLSourceReport = VerticaSourceReport() - self.view_lineage_map: Optional[Dict[str, List[Tuple[str, str, str]]]] = None - self.projection_lineage_map: Optional[ - Dict[str, List[Tuple[str, str, str]]] - ] = None self.config: VerticaConfig = config @classmethod @@ -201,16 +189,13 @@ def get_workunits_internal(self) -> Iterable[Union[MetadataWorkUnit, SqlWorkUnit profile_requests, profiler, platform=self.platform ) - oauth_schema = "Entities" - if sql_config.include_oauth: - yield from self.loop_oauth(inspector, oauth_schema, sql_config) - def get_database_properties( - self, inspector: Inspector, database: str + self, inspector: VerticaInspector, database: str ) -> Optional[Dict[str, str]]: try: - custom_properties = inspector._get_database_properties(database) # type: ignore + custom_properties = inspector._get_database_properties(database) return custom_properties + except Exception as ex: self.report.report_failure( f"{database}", f"unable to get extra_properties : {ex}" @@ -218,10 +203,10 @@ def get_database_properties( return None def get_schema_properties( - self, inspector: Inspector, database: str, schema: str + self, inspector: VerticaInspector, database: str, schema: str ) -> Optional[Dict[str, str]]: try: - custom_properties = inspector._get_schema_properties(schema) # type: ignore + custom_properties = inspector._get_schema_properties(schema) return custom_properties except Exception as ex: self.report.report_failure( @@ -232,7 +217,7 @@ def get_schema_properties( def _process_table( self, dataset_name: str, - inspector: Inspector, + inspector: VerticaInspector, schema: str, table: str, sql_config: SQLAlchemyConfig, @@ -243,7 +228,7 @@ def _process_table( self.config.platform_instance, self.config.env, ) - table_owner = self._get_owner_information(table, "table") + table_owner = inspector.get_table_owner(table, schema) yield from add_owner_to_entity_wu( entity_type="dataset", entity_urn=dataset_urn, @@ -255,7 +240,7 @@ def _process_table( def loop_views( self, - inspector: Inspector, + inspector: VerticaInspector, schema: str, sql_config: SQLAlchemyConfig, ) -> Iterable[Union[SqlWorkUnit, MetadataWorkUnit]]: @@ -286,7 +271,7 @@ def loop_views( self.report.report_warning( f"{schema}.{view}", f"Ingestion error: {e}" ) - if sql_config.include_view_lineage: # type: ignore + if self.config.include_view_lineage: try: dataset_urn = make_dataset_urn_with_platform_instance( self.platform, @@ -294,19 +279,22 @@ def loop_views( self.config.platform_instance, self.config.env, ) + dataset_snapshot = DatasetSnapshot( urn=dataset_urn, aspects=[StatusClass(removed=False)] ) + lineage_info = self._get_upstream_lineage_info( - dataset_urn, view + dataset_urn, + inspector, + view, + schema, ) + if lineage_info is not None: # upstream_column_props = [] yield MetadataChangeProposalWrapper( - entityType="dataset", - changeType=ChangeTypeClass.UPSERT, entityUrn=dataset_snapshot.urn, - aspectName="upstreamLineage", aspect=lineage_info, ).as_workunit() @@ -323,7 +311,7 @@ def loop_views( def _process_view( self, dataset_name: str, - inspector: Inspector, + inspector: VerticaInspector, schema: str, view: str, sql_config: SQLAlchemyConfig, @@ -334,7 +322,7 @@ def _process_view( Args: dataset_name (str) inspector (Inspector) - schema (str): schame name + schema (str): schema name view (str): name of the view to inspect sql_config (SQLAlchemyConfig) table_tags (Dict[str, str], optional) Defaults to dict(). @@ -345,25 +333,28 @@ def _process_view( Yields: Iterator[Iterable[Union[SqlWorkUnit, MetadataWorkUnit]]] """ + dataset_urn = make_dataset_urn_with_platform_instance( self.platform, dataset_name, self.config.platform_instance, self.config.env, ) - view_owner = self._get_owner_information(view, "view") + + view_owner = inspector.get_view_owner(view, schema) yield from add_owner_to_entity_wu( entity_type="dataset", entity_urn=dataset_urn, owner_urn=f"urn:li:corpuser:{view_owner}", ) + yield from super()._process_view( dataset_name, inspector, schema, view, sql_config ) def loop_projections( self, - inspector: Inspector, + inspector: VerticaInspector, schema: str, sql_config: SQLAlchemyConfig, ) -> Iterable[Union[SqlWorkUnit, MetadataWorkUnit]]: @@ -386,8 +377,7 @@ def loop_projections( projections_seen: Set[str] = set() try: - # table_tags = self.get_extra_tags(inspector, schema, "projection") - for projection in inspector.get_projection_names(schema): # type: ignore + for projection in inspector.get_projection_names(schema): dataset_name = self.get_identifier( schema=schema, entity=projection, inspector=inspector ) @@ -412,7 +402,7 @@ def loop_projections( self.report.report_warning( f"{schema}.{projection}", f"Ingestion error: {ex}" ) - if sql_config.include_projection_lineage: # type: ignore + if self.config.include_projection_lineage: try: dataset_urn = make_dataset_urn_with_platform_instance( self.platform, @@ -422,37 +412,35 @@ def loop_projections( ) dataset_snapshot = DatasetSnapshot( - urn=dataset_urn, - aspects=[StatusClass(removed=False)], + urn=dataset_urn, aspects=[StatusClass(removed=False)] ) + lineage_info = self._get_upstream_lineage_info_projection( - dataset_urn, projection + dataset_urn, inspector, projection, schema ) if lineage_info is not None: yield MetadataChangeProposalWrapper( entityUrn=dataset_snapshot.urn, aspect=lineage_info ).as_workunit() - except Exception as ex: + + except Exception as e: logger.warning( - f"Unable to get lineage of Projection {schema}.{projection} due to an exception %s", - ex, - ) - self.report.report_warning( - f"{schema}.{projection}", f"Ingestion error: {ex}" + f"Unable to get lineage of projection {projection} due to an exception.\n {traceback.format_exc()}" ) + self.report.report_warning(f"{schema}", f"Ingestion error: {e}") except Exception as ex: self.report.report_failure(f"{schema}", f"Projection error: {ex}") def _process_projections( self, dataset_name: str, - inspector: Inspector, + inspector: VerticaInspector, schema: str, projection: str, sql_config: SQLAlchemyConfig, ) -> Iterable[Union[SqlWorkUnit, MetadataWorkUnit]]: - columns = self._get_columns(dataset_name, inspector, schema, projection) + columns = inspector.get_projection_columns(projection, schema) dataset_urn = make_dataset_urn_with_platform_instance( self.platform, dataset_name, @@ -474,20 +462,7 @@ def _process_projections( ) dataset_snapshot.aspects.append(dataset_properties) - if location_urn: - external_upstream_table = UpstreamClass( - dataset=location_urn, - type=DatasetLineageTypeClass.COPY, - ) - yield MetadataChangeProposalWrapper( - entityType="dataset", - changeType=ChangeTypeClass.UPSERT, - entityUrn=dataset_snapshot.urn, - aspectName="upstreamLineage", - aspect=UpstreamLineage(upstreams=[external_upstream_table]), - ).as_workunit() - - projection_owner = self._get_owner_information(projection, "projection") + projection_owner = inspector.get_projection_owner(projection, schema) yield from add_owner_to_entity_wu( entity_type="dataset", entity_urn=dataset_urn, @@ -533,49 +508,87 @@ def _process_projections( domain_registry=self.domain_registry, ) - def get_projection_properties( - self, inspector: Inspector, schema: str, projection: str - ) -> Tuple[Optional[str], Dict[str, str], Optional[str]]: - """ - Returns projection related metadata information to show in properties tab - eg. projection type like super, segmented etc - partition key, segmentation and so on + def loop_profiler_requests( + self, + inspector: VerticaInspector, + schema: str, + sql_config: SQLAlchemyConfig, + ) -> Iterable["GEProfilerRequest"]: + """Function is used for collecting profiling related information for every projections + inside an schema. + + We have extended original loop_profiler_requests and added functionality for projection + profiling . All the logics are same only change is we have ran the loop to get projection name from inspector.get_projection_name . + + Args: schema: schema name - Args: - inspector (Inspector): inspector obj from reflection engine - schema (str): schema name - projection (str): projection name - Returns: - Tuple[Optional[str], Dict[str, str], Optional[str]]: [description] """ - description: Optional[str] = None - properties: Dict[str, str] = {} - # The location cannot be fetched generically, but subclasses may override - # this method and provide a location. - location: Optional[str] = None - try: - # SQLAlchemy stubs are incomplete and missing this method. - # PR: https://github.com/dropbox/sqlalchemy-stubs/pull/223. - projection_info: dict = inspector.get_projection_comment(projection, schema) # type: ignore - except NotImplementedError: - return description, properties, location - except ProgrammingError as error: + from datahub.ingestion.source.ge_data_profiler import GEProfilerRequest + + tables_seen: Set[str] = set() + profile_candidates = None # Default value if profile candidates not available. + yield from super().loop_profiler_requests(inspector, schema, sql_config) + + for projection in inspector.get_projection_names(schema): + dataset_name = self.get_identifier( + schema=schema, entity=projection, inspector=inspector + ) + + if not self.is_dataset_eligible_for_profiling( + dataset_name, sql_config, inspector, profile_candidates + ): + if self.config.profiling.report_dropped_profiles: + self.report.report_dropped(f"profile of {dataset_name}") + continue + if dataset_name not in tables_seen: + tables_seen.add(dataset_name) + else: + logger.debug(f"{dataset_name} has already been seen, skipping...") + continue + missing_column_info_warn = self.report.warnings.get(MISSING_COLUMN_INFO) + if ( + missing_column_info_warn is not None + and dataset_name in missing_column_info_warn + ): + continue + (partition, custom_sql) = self.generate_partition_profiler_query( + schema, projection, self.config.profiling.partition_datetime + ) + if partition is None and self.is_table_partitioned( + database=None, schema=schema, table=projection + ): + self.report.report_warning( + "profile skipped as partitioned table is empty or partition id was invalid", + dataset_name, + ) + continue + if ( + partition is not None + and not self.config.profiling.partition_profiling_enabled + ): + logger.debug( + f"{dataset_name} and partition {partition} is skipped because profiling.partition_profiling_enabled property is disabled" + ) + continue + self.report.report_entity_profiled(dataset_name) logger.debug( - f"Encountered ProgrammingError. Retrying with quoted schema name for schema {schema} and table {properties} %s", - error, + f"Preparing profiling request for {schema}, {projection}, {partition}" + ) + + yield GEProfilerRequest( + pretty_name=dataset_name, + batch_kwargs=self.prepare_profiler_args( + inspector=inspector, + schema=schema, + table=projection, + partition=partition, + custom_sql=custom_sql, + ), ) - projection_info: dict = inspector.get_projection_comment(properties, f'"{schema}"') # type: ignore - description = projection_info.get("text") - if isinstance(description, tuple): - # Handling for value type tuple which is coming for dialect 'db2+ibm_db' - description = projection_info["text"][0] - # The "properties" field is a non-standard addition to SQLAlchemy's interface. - properties = projection_info.get("properties", {}) - return description, properties, location def loop_models( self, - inspector: Inspector, + inspector: VerticaInspector, schema: str, sql_config: SQLAlchemyConfig, ) -> Iterable[Union[SqlWorkUnit, MetadataWorkUnit]]: @@ -595,7 +608,7 @@ def loop_models( """ models_seen: Set[str] = set() try: - for models in inspector.get_models_names(schema): # type: ignore + for models in inspector.get_models_names(schema): dataset_name = self.get_identifier( schema="Entities", entity=models, inspector=inspector ) @@ -630,7 +643,7 @@ def loop_models( def _process_models( self, dataset_name: str, - inspector: Inspector, + inspector: VerticaInspector, schema: str, table: str, sql_config: SQLAlchemyConfig, @@ -689,10 +702,7 @@ def _process_models( if dpi_aspect: yield dpi_aspect yield MetadataChangeProposalWrapper( - entityType="dataset", - changeType=ChangeTypeClass.UPSERT, entityUrn=dataset_urn, - aspectName="subTypes", aspect=SubTypesClass(typeNames=["ML Models"]), ).as_workunit() if self.config.domain: @@ -704,19 +714,20 @@ def _process_models( domain_registry=self.domain_registry, ) - def get_model_properties( - self, inspector: Inspector, schema: str, model: str + def get_projection_properties( + self, inspector: VerticaInspector, schema: str, projection: str ) -> Tuple[Optional[str], Dict[str, str], Optional[str]]: """ - Returns ml models related metadata information to show in properties tab - eg. ml model attribute and ml model specification information. + Returns projection related metadata information to show in properties tab + eg. projection type like super, segmented etc + partition key, segmentation and so on Args: inspector (Inspector): inspector obj from reflection engine schema (str): schema name - model (str): ml model name + projection (str): projection name Returns: - Tuple[Optional[str], Dict[str, str], Optional[str]] + Tuple[Optional[str], Dict[str, str], Optional[str]]: [description] """ description: Optional[str] = None properties: Dict[str, str] = {} @@ -724,154 +735,28 @@ def get_model_properties( # this method and provide a location. location: Optional[str] = None try: - table_info: dict = inspector.get_model_comment(model, schema) # type: ignore + # SQLAlchemy stubs are incomplete and missing this method. + # PR: https://github.com/dropbox/sqlalchemy-stubs/pull/223. + projection_info: dict = inspector.get_projection_comment(projection, schema) except NotImplementedError: return description, properties, location - except ProgrammingError as error: - logger.debug( - f"Encountered ProgrammingError. Retrying with quoted schema name for schema {schema} and {model} %s", - error, - ) - table_info: dict = inspector.get_model_comment(model, f'"{schema}"') # type: ignore - description = table_info.get("text") - if type(description) is tuple: + description = projection_info.get("text") + if isinstance(description, tuple): # Handling for value type tuple which is coming for dialect 'db2+ibm_db' - description = table_info["text"][0] + description = projection_info["text"][0] # The "properties" field is a non-standard addition to SQLAlchemy's interface. - properties = table_info.get("properties", {}) + properties = projection_info.get("properties", {}) return description, properties, location - def loop_oauth( - self, - inspector: Inspector, - schema: str, - sql_config: SQLAlchemyConfig, - ) -> Iterable[Union[SqlWorkUnit, MetadataWorkUnit]]: - """ - This function is for iterating over the oauth in vertica db - Args: - inspector (Inspector): - schema (str): schema name - sql_config (SQLAlchemyConfig): configuration - - Returns: - Iterable[Union[SqlWorkUnit, MetadataWorkUnit]]: [description] - """ - oauth_seen: Set[str] = set() - try: - for oauth in inspector.get_Oauth_names(schema): # type: ignore - dataset_name = self.get_identifier( - schema=schema, entity=oauth, inspector=inspector - ) - - if dataset_name not in oauth_seen: - oauth_seen.add(dataset_name) - else: - logger.debug("has already been seen, skipping %s", dataset_name) - continue - self.report.report_entity_scanned(dataset_name, ent_type="oauth") - if not sql_config.table_pattern.allowed(dataset_name): - self.report.report_dropped(dataset_name) - continue - try: - yield from self._process_oauth( - dataset_name, - inspector, - schema, - oauth, - sql_config, - ) - except Exception as error: - self.report.report_warning( - f"{schema}.{oauth}", f"Ingestion error: {error}" - ) - except Exception as error: - self.report.report_failure(f"{schema}", f"oauth error: {error}") - - def _process_oauth( - self, - dataset_name: str, - inspector: Inspector, - schema: str, - oauth: str, - sql_config: SQLAlchemyConfig, - ) -> Iterable[Union[SqlWorkUnit, MetadataWorkUnit]]: - """ - To fetch oauth related metadata of oauth from vertica db - Args: - dataset_name (str): dataset name - inspector (Inspector): inspector object from reflection - schema (str): schema name - Oauth (str): oauth name - sql_config (SQLAlchemyConfig): configuration - Returns: - Iterable[Union[SqlWorkUnit, MetadataWorkUnit]] - """ - columns: List[Dict[Any, Any]] = [] - dataset_urn = make_dataset_urn_with_platform_instance( - self.platform, - dataset_name, - self.config.platform_instance, - self.config.env, - ) - dataset_snapshot = DatasetSnapshot( - urn=dataset_urn, - aspects=[StatusClass(removed=False)], - ) - description, properties, location_urn = self.get_oauth_properties( - inspector, schema, oauth - ) - - dataset_properties = DatasetPropertiesClass( - name=oauth, - description=description, - customProperties=properties, - ) - dataset_snapshot.aspects.append(dataset_properties) - - schema_fields = self.get_schema_fields(dataset_name, columns) - schema_metadata = get_schema_metadata( - self.report, - dataset_name, - self.platform, - columns, - schema_fields, # type: ignore - ) - dataset_snapshot.aspects.append(schema_metadata) - db_name = self.get_db_name(inspector) - - yield from self.add_table_to_schema_container(dataset_urn, db_name, schema) - mce = MetadataChangeEvent(proposedSnapshot=dataset_snapshot) - yield SqlWorkUnit(id=dataset_name, mce=mce) - dpi_aspect = self.get_dataplatform_instance_aspect(dataset_urn=dataset_urn) - if dpi_aspect: - yield dpi_aspect - yield MetadataChangeProposalWrapper( - entityType="dataset", - changeType=ChangeTypeClass.UPSERT, - entityUrn=dataset_urn, - aspectName="subTypes", - aspect=SubTypesClass(typeNames=["oauth"]), - ).as_workunit() - - if self.config.domain: - assert self.domain_registry - yield from get_domain_wu( - dataset_name=dataset_name, - entity_urn=dataset_urn, - domain_config=self.config.domain, - domain_registry=self.domain_registry, - ) - - def get_oauth_properties( - self, inspector: Inspector, schema: str, model: str + def get_model_properties( + self, inspector: VerticaInspector, schema: str, model: str ) -> Tuple[Optional[str], Dict[str, str], Optional[str]]: """ - Returns oauth related metadata information to show in properties tab - eg. is_auth_enabled , auth_priority and all auth related info. + Returns ml models related metadata information to show in properties tab + eg. ml model attribute and ml model specification information. Args: - inspector (Inspector): inspector obj from reflection engine + inspector (VerticaInspector): inspector obj from reflection engine schema (str): schema name model (str): ml model name Returns: @@ -883,110 +768,39 @@ def get_oauth_properties( # this method and provide a location. location: Optional[str] = None try: - table_info: dict = inspector.get_oauth_comment(model, schema) # type: ignore + table_info: dict = inspector.get_model_comment(model, schema) except NotImplementedError: return description, properties, location - except ProgrammingError as error: - logger.debug( - f"Encountered ProgrammingError. Retrying with quoted schema name for schema {schema} and oauth {model} %s", - error, - ) - table_info: dict = inspector.get_oauth_comment(model, f'"{schema}"') # type: ignore description = table_info.get("text") - if isinstance(description, tuple): - # Handling for value type tuple which is coming for dialect 'db2+ibm_db' - description = table_info["text"][0] + # The "properties" field is a non-standard addition to SQLAlchemy's interface. properties = table_info.get("properties", {}) return description, properties, location - def loop_profiler_requests( + def _get_upstream_lineage_info( self, - inspector: Inspector, + dataset_urn: str, + inspector: VerticaInspector, + view: str, schema: str, - sql_config: SQLAlchemyConfig, - ) -> Iterable["GEProfilerRequest"]: - """Function is used for collecting profiling related information for every projections - inside an schema. - - Args: schema: schema name - - """ - from datahub.ingestion.source.ge_data_profiler import GEProfilerRequest - - tables_seen: Set[str] = set() - profile_candidates = None # Default value if profile candidates not available. - yield from super().loop_profiler_requests(inspector, schema, sql_config) - for projection in inspector.get_projection_names(schema): # type: ignore - dataset_name = self.get_identifier( - schema=schema, entity=projection, inspector=inspector - ) - - if not self.is_dataset_eligible_for_profiling( - dataset_name, sql_config, inspector, profile_candidates - ): - if self.config.profiling.report_dropped_profiles: - self.report.report_dropped(f"profile of {dataset_name}") - continue - if dataset_name not in tables_seen: - tables_seen.add(dataset_name) - else: - logger.debug(f"{dataset_name} has already been seen, skipping...") - continue - missing_column_info_warn = self.report.warnings.get(MISSING_COLUMN_INFO) - if ( - missing_column_info_warn is not None - and dataset_name in missing_column_info_warn - ): - continue - (partition, custom_sql) = self.generate_partition_profiler_query( - schema, projection, self.config.profiling.partition_datetime - ) - if partition is None and self.is_table_partitioned( - database=None, schema=schema, table=projection - ): - self.report.report_warning( - "profile skipped as partitioned table is empty or partition id was invalid", - dataset_name, - ) - continue - if ( - partition is not None - and not self.config.profiling.partition_profiling_enabled - ): - logger.debug( - f"{dataset_name} and partition {partition} is skipped because profiling.partition_profiling_enabled property is disabled" - ) - continue - self.report.report_entity_profiled(dataset_name) - logger.debug( - f"Preparing profiling request for {schema}, {projection}, {partition}" - ) - - yield GEProfilerRequest( - pretty_name=dataset_name, - batch_kwargs=self.prepare_profiler_args( - inspector=inspector, - schema=schema, - table=projection, - partition=partition, - custom_sql=custom_sql, - ), - ) - - def _get_upstream_lineage_info( - self, dataset_urn: str, view: str ) -> Optional[_Aspect]: dataset_key = dataset_urn_to_key(dataset_urn) if dataset_key is None: logger.warning(f"Invalid dataset urn {dataset_urn}. Could not get key!") return None - self._populate_view_lineage(view) - dataset_name = dataset_key.name - lineage = self.view_lineage_map[dataset_name] # type: ignore + view_lineage_map = inspector._populate_view_lineage(view, schema) + if dataset_key.name is not None: + dataset_name = dataset_key.name - if not (lineage): + else: + # Handle the case when dataset_key.name is None + # You can raise an exception, log a warning, or take any other appropriate action + logger.warning("Invalid dataset name") + + lineage = view_lineage_map[dataset_name] + + if lineage is None: logger.debug(f"No lineage found for {dataset_name}") return None upstream_tables: List[UpstreamClass] = [] @@ -1015,87 +829,21 @@ def _get_upstream_lineage_info( return None - def _populate_view_lineage(self, view: str) -> None: - """Collects upstream and downstream lineage information for views . - - Args: - view (str): name of the view - - """ - - url = self.config.get_sql_alchemy_url() - engine = create_engine(url, **self.config.options) - - get_refrence_table = sql.text( - dedent( - """ select reference_table_name from v_catalog.view_tables where table_name = '%(view)s' """ - % {"view": view} - ) - ) - - refrence_table = "" - for data in engine.execute(get_refrence_table): - # refrence_table.append(data) - refrence_table = data["reference_table_name"] - - view_upstream_lineage_query = sql.text( - dedent( - """ - select reference_table_name ,reference_table_schema from v_catalog.view_tables where table_name = '%(view)s' """ - % {"view": view} - ) - ) - - view_downstream_query = sql.text( - dedent( - """ - select table_name ,table_schema from v_catalog.view_tables where reference_table_name = '%(view)s' - """ - % {"view": refrence_table} - ) - ) - num_edges: int = 0 - - try: - self.view_lineage_map = defaultdict(list) - for db_row_key in engine.execute(view_downstream_query): - downstream = f"{db_row_key['table_schema']}.{db_row_key['table_name']}" - - for db_row_value in engine.execute(view_upstream_lineage_query): - upstream = f"{db_row_value['reference_table_schema']}.{db_row_value['reference_table_name']}" - - view_upstream: str = upstream - view_name: str = downstream - self.view_lineage_map[view_name].append( - # (, , ) - (view_upstream, "[]", "[]") - ) - - num_edges += 1 - - except Exception as e: - self.warn( - logger, - "view_upstream_lineage", - "Extracting the upstream & Downstream view lineage from vertica failed." - + f"Please check your permissions. Continuing...\nError was {e}.", - ) - - logger.info( - f"A total of {num_edges} View upstream edges found found for {view}" - ) - def _get_upstream_lineage_info_projection( - self, dataset_urn: str, projection: str + self, + dataset_urn: str, + inspector: VerticaInspector, + projection: str, + schema: str, ) -> Optional[_Aspect]: dataset_key = dataset_urn_to_key(dataset_urn) if dataset_key is None: logger.warning(f"Invalid dataset urn {dataset_urn}. Could not get key!") return None - self._populate_projection_lineage(projection) + projection_lineage = inspector._populate_projection_lineage(projection, schema) dataset_name = dataset_key.name - lineage = self.projection_lineage_map[dataset_name] # type: ignore + lineage = projection_lineage[dataset_name] if not (lineage): logger.debug(f"No lineage found for {dataset_name}") @@ -1103,7 +851,7 @@ def _get_upstream_lineage_info_projection( upstream_tables: List[UpstreamClass] = [] for lineage_entry in lineage: - # Update the projection-lineage + # Update the view-lineage upstream_table_name = lineage_entry[0] upstream_table = UpstreamClass( @@ -1119,115 +867,9 @@ def _get_upstream_lineage_info_projection( if upstream_tables: logger.debug( - f"lineage of Projection '{dataset_name}': {[u.dataset for u in upstream_tables]}" - ) - return UpstreamLineage(upstreams=upstream_tables) - return None - - def _populate_projection_lineage(self, projection: str) -> None: - """ - Collects upstream and downstream lineage information for views . - - Args: - projection (str): name of the projection - - - """ - url = self.config.get_sql_alchemy_url() - logger.debug(f"sql_alchemy_url={url}") - engine = create_engine(url, **self.config.options) - - view_upstream_lineage_query = sql.text( - dedent( - """ select basename , schemaname from vs_projections where name ='%(projection)s' - """ - % {"projection": projection} - ) - ) - - num_edges: int = 0 - - try: - self.projection_lineage_map = defaultdict(list) - for db_row_key in engine.execute(view_upstream_lineage_query): - basename = db_row_key["basename"] - upstream = f"{db_row_key['schemaname']}.{db_row_key['basename']}" - - view_downstream_query = sql.text( - dedent( - """ - select name,schemaname - from vs_projections - where basename='%(basename)s' - """ - % {"basename": basename} - ) - ) - for db_row_value in engine.execute(view_downstream_query): - downstream = f"{db_row_value['schemaname']}.{db_row_value['name']}" - projection_upstream: str = upstream - projection_name: str = downstream - self.projection_lineage_map[projection_name].append( - # (, , ) - (projection_upstream, "[]", "[]") - ) - num_edges += 1 - - except Exception as error: - logger.warning( - "Extracting the upstream & downstream Projection lineage from Vertica failed %s", - error, - ) - - logger.info( - f"A total of {num_edges} Projection lineage edges found for {projection}." - ) - - def _get_owner_information(self, table: str, label: str) -> Optional[str]: - url = self.config.get_sql_alchemy_url() - engine = create_engine(url, **self.config.options) - if label == "table": - get_owner_query = sql.text( - dedent( - """ - SELECT owner_name - FROM v_catalog.tables - WHERE table_name = '%(table)s' - """ - % {"table": table} - ) - ) - - for each in engine.execute(get_owner_query): - return each["owner_name"] - elif label == "view": - get_owner_query = sql.text( - dedent( - """ - SELECT owner_name - FROM v_catalog.views - WHERE table_name = '%(view)s' - """ - % {"view": table} - ) - ) - - for each in engine.execute(get_owner_query): - return each["owner_name"] - - elif label == "projection": - get_owner_query = sql.text( - dedent( - """ - SELECT owner_name - FROM v_catalog.projections - WHERE projection_name = '%(projection)s' - """ - % {"projection": table} - ) + f" lineage of '{dataset_name}': {[u.dataset for u in upstream_tables]}" ) - for each in engine.execute(get_owner_query): - return each["owner_name"] + return UpstreamLineage(upstreams=upstream_tables) return None diff --git a/metadata-ingestion/tests/integration/vertica/ddl.sql b/metadata-ingestion/tests/integration/vertica/ddl.sql new file mode 100644 index 0000000000000..59a71a1a1f7b5 --- /dev/null +++ b/metadata-ingestion/tests/integration/vertica/ddl.sql @@ -0,0 +1,46 @@ +\set AUTOCOMMIT on +ALTER USER dbadmin IDENTIFIED BY 'abc123'; + +-- Create a Top-k projection +CREATE TABLE readings (meter_id INT, reading_date TIMESTAMP, reading_value FLOAT); +CREATE PROJECTION readings_topk (meter_id, recent_date, recent_value) AS SELECT meter_id, reading_date, reading_value FROM readings LIMIT 5 OVER (PARTITION BY meter_id ORDER BY reading_date DESC); + +-- Create a live agg projs +CREATE TABLE clicks(user_id IDENTITY(1,1), page_id INTEGER, click_time TIMESTAMP NOT NULL); +CREATE PROJECTION clicks_agg AS SELECT page_id, click_time::DATE click_date, COUNT(*) num_clicks FROM clicks GROUP BY page_id, click_time::DATE; + + +-- Create a VIEW +CREATE VIEW sampleview AS SELECT SUM(annual_income), customer_state +FROM public.customer_dimension +WHERE customer_key IN (SELECT customer_key FROM store.store_sales_fact) +GROUP BY customer_state ORDER BY customer_state ASC; + +-- Step 1: Create library +\set libfile '\''/opt/sqlalchemy-vertica-dialect'/python/TransformFunctions.py\'' +CREATE LIBRARY TransformFunctions AS '/opt/vertica/sdk/examples/python/TransformFunctions.py' LANGUAGE 'Python'; + + +-- Step 2: Create functions +CREATE TRANSFORM FUNCTION tokenize AS NAME 'StringTokenizerFactory' LIBRARY TransformFunctions; +CREATE TRANSFORM FUNCTION topk AS NAME 'TopKPerPartitionFactory' LIBRARY TransformFunctions; + +CREATE TABLE phrases (phrase VARCHAR(128)); +COPY phrases FROM STDIN; +Word +The quick brown fox jumped over the lazy dog +\. + +SELECT tokenize(phrase) OVER () FROM phrases; + +-- Create a temp table + +CREATE TEMPORARY TABLE sampletemp (a int, b int) ON COMMIT PRESERVE ROWS; +INSERT INTO sampletemp VALUES(1,2); + +-- Create partition key +ALTER TABLE store.store_orders_fact PARTITION BY date_ordered::DATE GROUP BY DATE_TRUNC('month', (date_ordered)::DATE); +SELECT PARTITION_TABLE('store.store_orders_fact'); +CREATE PROJECTION ytd_orders AS SELECT * FROM store.store_orders_fact ORDER BY date_ordered + ON PARTITION RANGE BETWEEN date_trunc('year',now())::date AND NULL; +SELECT start_refresh(); \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/vertica/docker-compose.yml b/metadata-ingestion/tests/integration/vertica/docker-compose.yml index 1b22d804b0a37..ddaf206f236cf 100644 --- a/metadata-ingestion/tests/integration/vertica/docker-compose.yml +++ b/metadata-ingestion/tests/integration/vertica/docker-compose.yml @@ -3,7 +3,7 @@ services: vertica: environment: APP_DB_USER: "dbadmin" - APP_DB_PASSWORD: "vertica" + APP_DB_PASSWORD: "abc123" container_name: vertica-ce image: vertica/vertica-ce:12.0.2-0 ports: @@ -20,3 +20,4 @@ volumes: vertica-data: + diff --git a/metadata-ingestion/tests/integration/vertica/test_vertica.py b/metadata-ingestion/tests/integration/vertica/test_vertica.py index 384dac9b8d0c0..db8bfd247313b 100644 --- a/metadata-ingestion/tests/integration/vertica/test_vertica.py +++ b/metadata-ingestion/tests/integration/vertica/test_vertica.py @@ -1,24 +1,34 @@ +import subprocess +import time +from typing import List, Optional + import pytest from freezegun import freeze_time from tests.test_helpers import mce_helpers from tests.test_helpers.click_helpers import run_datahub_cmd -from tests.test_helpers.docker_helpers import is_responsive, wait_for_port +from tests.test_helpers.docker_helpers import wait_for_port FROZEN_TIME = "2020-04-14 07:00:00" -pytestmark = pytest.mark.skip( - reason="Vertica tests are disabled due to a dependency conflict with SQLAlchemy 1.3.24" -) - @pytest.fixture(scope="module") def test_resources_dir(pytestconfig): return pytestconfig.rootpath / "tests/integration/vertica" +def is_vertica_responsive( + container_name: str, port: int, hostname: Optional[str] +) -> bool: + if hostname: + cmd = f"docker logs {container_name} 2>&1 | grep 'Vertica is now running' " + ret = subprocess.run(cmd, shell=True, stdout=subprocess.DEVNULL) + + return ret.returncode == 0 + + @pytest.fixture(scope="module") -def vertica_runner(docker_compose_runner, pytestconfig, test_resources_dir): +def vertica_runner(docker_compose_runner, test_resources_dir): with docker_compose_runner( test_resources_dir / "docker-compose.yml", "vertica" ) as docker_services: @@ -27,26 +37,49 @@ def vertica_runner(docker_compose_runner, pytestconfig, test_resources_dir): "vertica-ce", 5433, timeout=120, - checker=lambda: is_responsive("vertica-ce", 5433, hostname="vertica-ce"), + checker=lambda: is_vertica_responsive( + "vertica-ce", 5433, hostname="vertica-ce" + ), ) + + commands = """ + docker cp tests/integration/vertica/ddl.sql vertica-ce:/home/dbadmin/ && + docker exec vertica-ce sh -c "/opt/vertica/bin/vsql -w abc123 -f /home/dbadmin/ddl.sql + """ + + ret = subprocess.run(commands, shell=True, stdout=subprocess.DEVNULL) + # waiting for vertica to create default table and system table and ml models + time.sleep(60) + + assert ret.returncode >= 1 + yield docker_services # Test needs more work to be done , currently it is working fine. @freeze_time(FROZEN_TIME) @pytest.mark.integration -@pytest.mark.skip("This does not work yet and needs to be fixed.") def test_vertica_ingest_with_db(vertica_runner, pytestconfig, tmp_path): test_resources_dir = pytestconfig.rootpath / "tests/integration/vertica" + # Run the metadata ingestion pipeline. config_file = (test_resources_dir / "vertica_to_file.yml").resolve() run_datahub_cmd( ["ingest", "--strict-warnings", "-c", f"{config_file}"], tmp_path=tmp_path ) + ignore_paths: List[str] = [ + r"root\[\d+\]\['proposedSnapshot'\].+\['aspects'\].+\['customProperties'\]\['create_time'\]", + r"root\[\d+\]\['proposedSnapshot'\].+\['aspects'\].+\['customProperties'\]\['table_size'\]", + r"root\[\d+\]\['proposedSnapshot'\].+\['aspects'\].+\['customProperties'\]\['projection_size'\]", + r"root\[\d+\]\['proposedSnapshot'\].+\['aspects'\].+\['customProperties'\]\['ROS_Count'\]", + r"root\[\d+\]\['aspect'\].+\['customProperties'\]\['cluster_size'\]", + r"root\[\d+\]\['aspect'\].+\['customProperties'\]\['udx_language'\]", + ] # Verify the output. mce_helpers.check_golden_file( pytestconfig, + ignore_paths=ignore_paths, output_path=tmp_path / "vertica.json", golden_path=test_resources_dir / "vertica_mces_with_db_golden.json", ) diff --git a/metadata-ingestion/tests/integration/vertica/vertica_mces_with_db_golden.json b/metadata-ingestion/tests/integration/vertica/vertica_mces_with_db_golden.json index 7c2de60372b67..44a5e07d7b996 100644 --- a/metadata-ingestion/tests/integration/vertica/vertica_mces_with_db_golden.json +++ b/metadata-ingestion/tests/integration/vertica/vertica_mces_with_db_golden.json @@ -8,10 +8,10 @@ "json": { "customProperties": { "platform": "vertica", - "instance": "PROD", + "env": "PROD", "database": "vmart", "cluster_type": "Enterprise", - "cluster_size": "87 GB", + "cluster_size": "122 GB", "subcluster": " ", "communal_storage_path": "" }, @@ -70,6 +70,21 @@ "runId": "vertica-2020_04_14-07_00_00" } }, +{ + "entityType": "container", + "entityUrn": "urn:li:container:343f520ad0fb3259b298736800bb1385", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "vertica-2020_04_14-07_00_00" + } +}, { "entityType": "container", "entityUrn": "urn:li:container:eb682025a9113b5543ec7ed26bfa21e4", @@ -79,12 +94,12 @@ "json": { "customProperties": { "platform": "vertica", - "instance": "PROD", + "env": "PROD", "database": "vmart", "schema": "public", - "projection_count": "0", - "udx_list": "", - "Udx_langauge": "" + "projection_count": "9", + "udx_list": "APPROXIMATE_COUNT_DISTINCT_SYNOPSIS_INFO, APPROXIMATE_MEDIAN, APPROXIMATE_PERCENTILE, AcdDataToCount, AcdDataToLongSyn, AcdDataToSyn, AcdSynToCount, AcdSynToSyn, DelimitedExport, DelimitedExportMulti, EmptyMap, Explode, FAvroParser, FCefParser, FCsvParser, FDelimitedPairParser, FDelimitedParser, FIDXParser, FJSONParser, FRegexParser, FlexTokenizer, JsonExport, JsonExportMulti, KafkaAvroParser, KafkaCheckBrokers, KafkaExport, KafkaInsertDelimiters, KafkaInsertLengths, KafkaJsonParser, KafkaListManyTopics, KafkaListTopics, KafkaOffsets, KafkaParser, KafkaSource, KafkaTopicDetails, MSE, MapAggregate, MapAggregate, MapContainsKey, MapContainsKey, MapContainsValue, MapContainsValue, MapDelimitedExtractor, MapItems, MapItems, MapJSONExtractor, MapKeys, MapKeys, MapKeysInfo, MapKeysInfo, MapLookup, MapLookup, MapLookup, MapPut, MapRegexExtractor, MapSize, MapSize, MapToString, MapToString, MapValues, MapValues, MapValuesOrField, MapVersion, MapVersion, OrcExport, OrcExportMulti, PRC, ParquetExport, ParquetExportMulti, PickBestType, PickBestType, PickBestType, ROC, STV_AsGeoJSON, STV_AsGeoJSON, STV_AsGeoJSON, STV_Create_Index, STV_Create_Index, STV_Create_Index, STV_DWithin, STV_DWithin, STV_DWithin, STV_Describe_Index, STV_Drop_Index, STV_Export2Shapefile, STV_Extent, STV_Extent, STV_ForceLHR, STV_Geography, STV_Geography, STV_GeographyPoint, STV_Geometry, STV_Geometry, STV_GeometryPoint, STV_GeometryPoint, STV_GetExportShapefileDirectory, STV_Intersect, STV_Intersect, STV_Intersect, STV_Intersect, STV_Intersect, STV_Intersect, STV_Intersect, STV_Intersect, STV_IsValidReason, STV_IsValidReason, STV_IsValidReason, STV_LineStringPoint, STV_LineStringPoint, STV_LineStringPoint, STV_MemSize, STV_MemSize, STV_MemSize, STV_NN, STV_NN, STV_NN, STV_PolygonPoint, STV_PolygonPoint, STV_PolygonPoint, STV_Refresh_Index, STV_Refresh_Index, STV_Refresh_Index, STV_Rename_Index, STV_Reverse, STV_SetExportShapefileDirectory, STV_ShpCreateTable, STV_ShpParser, STV_ShpSource, ST_Area, ST_Area, ST_Area, ST_AsBinary, ST_AsBinary, ST_AsBinary, ST_AsText, ST_AsText, ST_AsText, ST_Boundary, ST_Buffer, ST_Centroid, ST_Contains, ST_Contains, ST_Contains, ST_ConvexHull, ST_Crosses, ST_Difference, ST_Disjoint, ST_Disjoint, ST_Disjoint, ST_Distance, ST_Distance, ST_Distance, ST_Envelope, ST_Equals, ST_Equals, ST_Equals, ST_GeoHash, ST_GeoHash, ST_GeoHash, ST_GeographyFromText, ST_GeographyFromWKB, ST_GeomFromGeoHash, ST_GeomFromGeoJSON, ST_GeomFromGeoJSON, ST_GeomFromText, ST_GeomFromText, ST_GeomFromWKB, ST_GeomFromWKB, ST_GeometryN, ST_GeometryN, ST_GeometryN, ST_GeometryType, ST_GeometryType, ST_GeometryType, ST_Intersection, ST_Intersects, ST_Intersects, ST_IsEmpty, ST_IsEmpty, ST_IsEmpty, ST_IsSimple, ST_IsSimple, ST_IsSimple, ST_IsValid, ST_IsValid, ST_IsValid, ST_Length, ST_Length, ST_Length, ST_NumGeometries, ST_NumGeometries, ST_NumGeometries, ST_NumPoints, ST_NumPoints, ST_NumPoints, ST_Overlaps, ST_PointFromGeoHash, ST_PointN, ST_PointN, ST_PointN, ST_Relate, ST_SRID, ST_SRID, ST_SRID, ST_Simplify, ST_SimplifyPreserveTopology, ST_SymDifference, ST_Touches, ST_Touches, ST_Touches, ST_Transform, ST_Union, ST_Union, ST_Within, ST_Within, ST_Within, ST_X, ST_X, ST_X, ST_XMax, ST_XMax, ST_XMax, ST_XMin, ST_XMin, ST_XMin, ST_Y, ST_Y, ST_Y, ST_YMax, ST_YMax, ST_YMax, ST_YMin, ST_YMin, ST_YMin, ST_intersects, SetMapKeys, Summarize_CatCol, Summarize_CatCol, Summarize_CatCol, Summarize_CatCol, Summarize_CatCol, Summarize_NumCol, VoltageSecureAccess, VoltageSecureAccess, VoltageSecureConfigure, VoltageSecureConfigureGlobal, VoltageSecureProtect, VoltageSecureProtect, VoltageSecureProtectAllKeys, VoltageSecureRefreshPolicy, VoltageSecureVersion, append_centers, apply_bisecting_kmeans, apply_iforest, apply_inverse_pca, apply_inverse_svd, apply_kmeans, apply_normalize, apply_one_hot_encoder, apply_pca, apply_svd, approximate_quantiles, ar_create_blobs, ar_final_newton, ar_save_model, ar_transition_newton, avg_all_columns_local, bisecting_kmeans_init_model, bk_apply_best_kmeans_results, bk_compute_totss_local, bk_finalize_model, bk_get_rows_in_active_cluster, bk_kmeans_compute_local_centers, bk_kmeans_compute_withinss, bk_kmeans_fast_random_init, bk_kmeans_slow_random_init, bk_kmeanspp_init_cur_cluster, bk_kmeanspp_reset_blob, bk_kmeanspp_select_new_centers, bk_kmeanspp_within_chunk_sum, bk_save_final_model, bk_write_new_cluster_level, blob_to_table, bufUdx, bufUdx, calc_pseudo_centers, calculate_alpha_linear, calculate_hessian_linear1, calculate_hessian_linear2, cleanup_kmeans_files, compute_and_save_global_center, compute_and_save_new_centers, compute_local_totss, compute_local_withinss, compute_new_local_centers, confusion_matrix, coordinate_descent_covariance, corr_matrix, count_rows_in_blob, create_aggregator_blob, error_rate, evaluate_naive_bayes_model, evaluate_reg_model, evaluate_svm_model, export_model_files, finalize_blob_resource_group, get_attr_minmax, get_attr_robust_zscore, get_attr_zscore, get_model_attribute, get_model_summary, get_robust_zscore_median, iforest_create_blobs, iforest_phase0_udf1, iforest_phase0_udf2, iforest_phase1_udf1, iforest_phase1_udf2, iforest_phase1_udf3, iforest_phase1_udf4, iforest_phase2_udf1, iforest_phase2_udf2, iforest_phase2_udf3, iforest_phase2_udf4, iforest_save_model, import_model_files, isOrContains, kmeansAddMetricsToModel, kmeans_init_blobs, kmeans_to_write_final_centers, lift_table, line_search_logistic1, line_search_logistic2, load_rows_into_blocks, map_factor, math_op, matrix_global_xtx, matrix_local_xtx, mode_finder, model_converter, naive_bayes_phase1, naive_bayes_phase1_blob, naive_bayes_phase2, pca_prep1_global, pca_prep1_local, pca_prep2, pmml_parser, predict_autoregressor, predict_linear_reg, predict_logistic_reg, predict_moving_average, predict_naive_bayes, predict_naive_bayes_classes, predict_pmml, predict_rf_classifier, predict_rf_classifier_classes, predict_rf_regressor, predict_svm_classifier, predict_svm_regressor, predict_xgb_classifier, predict_xgb_classifier_classes, predict_xgb_regressor, random_init, random_init_write, read_from_dfblob, read_map_factor, read_ptree, read_tree, reg_final_bfgs, reg_final_newton, reg_transition_bfgs, reg_transition_newton, reg_write_model, remove_blob, reverse_normalize, rf_blob, rf_clean, rf_phase0_udf1, rf_phase0_udf2, rf_phase1_udf1, rf_phase1_udf2, rf_phase1_udf3, rf_phase1_udf4, rf_phase2_udf1, rf_phase2_udf2, rf_phase2_udf3, rf_phase2_udf4, rf_predictor_importance, rf_save_model, rsquared, save_cv_result, save_pca_model, save_svd_model, save_svm_model, select_new_centers, store_minmax_model, store_one_hot_encoder_model, store_robust_zscore_model, store_zscore_model, table_to_blob, table_to_dfblob, update_and_return_sum_of_squared_distances, upgrade_model_format, writeInitialKmeansModelToDfs, xgb_create_blobs, xgb_phase0_udf1, xgb_phase0_udf2, xgb_phase1_udf1, xgb_phase1_udf2, xgb_phase1_udf3, xgb_phase2_udf1, xgb_phase2_udf2, xgb_phase2_udf3, xgb_prune, xgb_save_model, yule_walker, ", + "udx_language": "ComplexTypesLib -- Functions for Complex Types | DelimitedExportLib -- Delimited data export package | JsonExportLib -- Json data export package | MachineLearningLib -- Machine learning package | OrcExportLib -- Orc export package | ParquetExportLib -- Parquet export package | ApproximateLib -- Approximate package | FlexTableLib -- Flexible Tables Data Load and Query | KafkaLib -- Kafka streaming load and export | PlaceLib -- Geospatial package | VoltageSecureLib -- Voltage SecureData Connector | " }, "name": "public" } @@ -155,5 +170,10210 @@ "lastObserved": 1586847600000, "runId": "vertica-2020_04_14-07_00_00" } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:eb682025a9113b5543ec7ed26bfa21e4", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:343f520ad0fb3259b298736800bb1385", + "urn": "urn:li:container:343f520ad0fb3259b298736800bb1385" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "vertica-2020_04_14-07_00_00" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:vertica,public.customer_dimension,PROD)", + "changeType": "UPSERT", + "aspectName": "ownership", + "aspect": { + "json": { + "owners": [ + { + "owner": "urn:li:corpuser:dbadmin", + "type": "DATAOWNER" + } + ], + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "vertica-2020_04_14-07_00_00" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:vertica,public.customer_dimension,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:eb682025a9113b5543ec7ed26bfa21e4" + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "vertica-2020_04_14-07_00_00" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:vertica,public.customer_dimension,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.Status": { + "removed": false + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": { + "create_time": "2023-07-26 06:37:53.358215+00:00" + }, + "name": "customer_dimension", + "description": "References the properties of a native table in Vertica. Vertica physically stores table data in projections, which are collections of table columns. Projections store data in a format that optimizes query execution. In order to query or perform any operation on a Vertica table, the table must have one or more projections associated with it. ", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "public.customer_dimension", + "platform": "urn:li:dataPlatform:vertica", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.MySqlDDL": { + "tableSchema": "" + } + }, + "fields": [ + { + "fieldPath": "customer_key", + "nullable": true, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER()", + "recursive": false, + "isPartOfKey": true + }, + { + "fieldPath": "customer_type", + "nullable": true, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "VARCHAR(length=16)", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "customer_name", + 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"typeNames": [ + "Projections" + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "vertica-2020_04_14-07_00_00" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:vertica,online_sales.online_sales_fact_super,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:vertica,online_sales.online_sales_fact,PROD)", + "type": "TRANSFORMED" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "vertica-2020_04_14-07_00_00" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:vertica,online_sales.online_sales_fact_super,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:343f520ad0fb3259b298736800bb1385", + "urn": "urn:li:container:343f520ad0fb3259b298736800bb1385" + }, + { + "id": "urn:li:container:ae8df3182db1bb8b3a612998126beae7", + "urn": "urn:li:container:ae8df3182db1bb8b3a612998126beae7" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1586847600000, + "runId": "vertica-2020_04_14-07_00_00" + } } ] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/vertica/vertica_to_file.yml b/metadata-ingestion/tests/integration/vertica/vertica_to_file.yml index da1fcc2b5304f..ebd800ee09ff5 100644 --- a/metadata-ingestion/tests/integration/vertica/vertica_to_file.yml +++ b/metadata-ingestion/tests/integration/vertica/vertica_to_file.yml @@ -4,7 +4,7 @@ source: host_port: 127.0.0.1:5433 database: Vmart username: dbadmin - password: vertica + password: abc123 sink: type: file From 66074341f751ee825c623f7625bf5bd6d8de10a2 Mon Sep 17 00:00:00 2001 From: Harshal Sheth Date: Tue, 1 Aug 2023 07:04:48 -0700 Subject: [PATCH 08/10] test(ingest): test case statements with sql parser (#8437) --- .../test_snowflake_case_statement.json | 37 +++++++++++++++++++ .../unit/sql_parsing/test_sqlglot_lineage.py | 28 ++++++++++++++ 2 files changed, 65 insertions(+) create mode 100644 metadata-ingestion/tests/unit/sql_parsing/goldens/test_snowflake_case_statement.json diff --git a/metadata-ingestion/tests/unit/sql_parsing/goldens/test_snowflake_case_statement.json b/metadata-ingestion/tests/unit/sql_parsing/goldens/test_snowflake_case_statement.json new file mode 100644 index 0000000000000..7d1a4f2039b10 --- /dev/null +++ b/metadata-ingestion/tests/unit/sql_parsing/goldens/test_snowflake_case_statement.json @@ -0,0 +1,37 @@ +{ + "query_type": "SELECT", + "in_tables": [ + "urn:li:dataset:(urn:li:dataPlatform:snowflake,snowflake_sample_data.tpch_sf1.orders,PROD)" + ], + "out_tables": [], + "column_lineage": [ + { + "downstream": { + "table": null, + "column": "TOTAL_PRICE_CATEGORY" + }, + "upstreams": [ + { + "table": "urn:li:dataset:(urn:li:dataPlatform:snowflake,snowflake_sample_data.tpch_sf1.orders,PROD)", + "column": "totalprice" + } + ] + }, + { + "downstream": { + "table": null, + "column": "TOTAL_PRICE_SUCCESS" + }, + "upstreams": [ + { + "table": "urn:li:dataset:(urn:li:dataPlatform:snowflake,snowflake_sample_data.tpch_sf1.orders,PROD)", + "column": "is_payment_successful" + }, + { + "table": "urn:li:dataset:(urn:li:dataPlatform:snowflake,snowflake_sample_data.tpch_sf1.orders,PROD)", + "column": "totalprice" + } + ] + } + ] +} \ No newline at end of file diff --git a/metadata-ingestion/tests/unit/sql_parsing/test_sqlglot_lineage.py b/metadata-ingestion/tests/unit/sql_parsing/test_sqlglot_lineage.py index 0d8471291a505..5a294be150fa0 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/test_sqlglot_lineage.py +++ b/metadata-ingestion/tests/unit/sql_parsing/test_sqlglot_lineage.py @@ -287,6 +287,34 @@ def test_snowflake_column_normalization(): ) +def test_snowflake_case_statement(): + assert_sql_result( + """ +SELECT + CASE + WHEN o."totalprice" > 1000 THEN 'high' + WHEN o."totalprice" > 100 THEN 'medium' + ELSE 'low' + END as total_price_category, + -- Also add a case where the column is in the THEN clause. + CASE + WHEN o."is_payment_successful" THEN o."totalprice" + ELSE 0 + END as total_price_success +FROM snowflake_sample_data.tpch_sf1.orders o +""", + dialect="snowflake", + schemas={ + "urn:li:dataset:(urn:li:dataPlatform:snowflake,snowflake_sample_data.tpch_sf1.orders,PROD)": { + "orderkey": "NUMBER", + "totalprice": "FLOAT", + "is_payment_successful": "BOOLEAN", + }, + }, + expected_file=RESOURCE_DIR / "test_snowflake_case_statement.json", + ) + + @pytest.mark.skip(reason="We don't handle the unnest lineage correctly") def test_bigquery_unnest_columns(): assert_sql_result( From 547e1f498e37ee7ac7921cf1fe552f1e63d3b2e1 Mon Sep 17 00:00:00 2001 From: mohdsiddique Date: Tue, 1 Aug 2023 19:35:18 +0530 Subject: [PATCH 09/10] feat(ingestion/tableau): support column level lineage for custom sql (#8466) Co-authored-by: MohdSiddiqueBagwan --- .../src/datahub/ingestion/source/tableau.py | 274 +- .../ingestion/source/tableau_common.py | 103 +- .../setup/customSQLTablesConnection_all.json | 64 +- .../embeddedDatasourcesConnection_all.json | 2 +- .../tableau/tableau_cll_mces_golden.json | 43283 ++++++++++++++++ ...bleau_extract_all_project_mces_golden.json | 151 +- .../tableau/tableau_mces_golden.json | 151 +- .../tableau_mces_golden_deleted_stateful.json | 15 + .../tableau_nested_project_mces_golden.json | 122 +- .../tableau_signout_timeout_mces_golden.json | 151 +- ...au_with_platform_instance_mces_golden.json | 156 +- .../tableau/test_tableau_ingest.py | 101 +- 12 files changed, 44478 insertions(+), 95 deletions(-) create mode 100644 metadata-ingestion/tests/integration/tableau/tableau_cll_mces_golden.json diff --git a/metadata-ingestion/src/datahub/ingestion/source/tableau.py b/metadata-ingestion/src/datahub/ingestion/source/tableau.py index e923727a990f4..6752bdf519830 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/tableau.py +++ b/metadata-ingestion/src/datahub/ingestion/source/tableau.py @@ -4,14 +4,24 @@ from dataclasses import dataclass from datetime import datetime from functools import lru_cache -from typing import Any, Dict, Iterable, List, Optional, Set, Tuple, Union, cast +from typing import ( + Any, + Callable, + Dict, + Iterable, + List, + Optional, + Set, + Tuple, + Union, + cast, +) import dateutil.parser as dp import tableauserverclient as TSC from pydantic import root_validator, validator from pydantic.fields import Field from requests.adapters import ConnectionError -from sqllineage.runner import LineageRunner from tableauserverclient import ( PersonalAccessTokenAuth, Server, @@ -71,8 +81,11 @@ dashboard_graphql_query, database_tables_graphql_query, embedded_datasource_graphql_query, + get_overridden_info, get_unique_custom_sql, + make_fine_grained_lineage_class, make_table_urn, + make_upstream_class, published_datasource_graphql_query, query_metadata, sheet_graphql_query, @@ -120,10 +133,15 @@ OwnershipClass, OwnershipTypeClass, SubTypesClass, - UpstreamClass, ViewPropertiesClass, ) from datahub.utilities import config_clean +from datahub.utilities.sqlglot_lineage import ( + ColumnLineageInfo, + SchemaResolver, + SqlParsingResult, + sqlglot_lineage, +) logger: logging.Logger = logging.getLogger(__name__) @@ -870,14 +888,14 @@ def _create_upstream_table_lineage( f"A total of {len(upstream_tables)} upstream table edges found for datasource {datasource[tableau_constant.ID]}" ) - if datasource.get(tableau_constant.FIELDS): - datasource_urn = builder.make_dataset_urn_with_platform_instance( - platform=self.platform, - name=datasource[tableau_constant.ID], - platform_instance=self.config.platform_instance, - env=self.config.env, - ) + datasource_urn = builder.make_dataset_urn_with_platform_instance( + platform=self.platform, + name=datasource[tableau_constant.ID], + platform_instance=self.config.platform_instance, + env=self.config.env, + ) + if datasource.get(tableau_constant.FIELDS): if self.config.extract_column_level_lineage: # Find fine grained lineage for datasource column to datasource column edge, # upstream columns may be from same datasource @@ -1140,6 +1158,57 @@ def get_upstream_fields_of_field_in_datasource(self, datasource, datasource_urn) ) return fine_grained_lineages + def get_upstream_fields_from_custom_sql( + self, datasource: dict, datasource_urn: str + ) -> List[FineGrainedLineage]: + fine_grained_lineages: List[FineGrainedLineage] = [] + + parsed_result = self.parse_custom_sql( + datasource=datasource, + datasource_urn=datasource_urn, + env=self.config.env, + platform=self.platform, + platform_instance=self.config.platform_instance, + func_overridden_info=None, # Here we don't want to override any information from configuration + ) + + if parsed_result is None: + logger.info( + f"Failed to extract column level lineage from datasource {datasource_urn}" + ) + return fine_grained_lineages + + cll: List[ColumnLineageInfo] = ( + parsed_result.column_lineage + if parsed_result.column_lineage is not None + else [] + ) + for cll_info in cll: + downstream = ( + [ + builder.make_schema_field_urn( + datasource_urn, cll_info.downstream.column + ) + ] + if cll_info.downstream is not None + and cll_info.downstream.column is not None + else [] + ) + upstreams = [ + builder.make_schema_field_urn(column_ref.table, column_ref.column) + for column_ref in cll_info.upstreams + ] + fine_grained_lineages.append( + FineGrainedLineage( + downstreamType=FineGrainedLineageDownstreamType.FIELD, + downstreams=downstream, + upstreamType=FineGrainedLineageUpstreamType.FIELD_SET, + upstreams=upstreams, + ) + ) + + return fine_grained_lineages + def get_transform_operation(self, field): field_type = field[tableau_constant.TYPE_NAME] if field_type in ( @@ -1176,6 +1245,7 @@ def emit_custom_sql_datasources(self) -> Iterable[MetadataWorkUnit]: platform_instance=self.config.platform_instance, env=self.config.env, ) + dataset_snapshot = DatasetSnapshot( urn=csql_urn, aspects=[self.get_data_platform_instance()], @@ -1225,14 +1295,20 @@ def emit_custom_sql_datasources(self) -> Iterable[MetadataWorkUnit]: csql_urn, tables, datasource ) elif self.config.extract_lineage_from_unsupported_custom_sql_queries: + logger.debug("Extracting TLL & CLL from custom sql") # custom sql tables may contain unsupported sql, causing incomplete lineage # we extract the lineage from the raw queries yield from self._create_lineage_from_unsupported_csql( csql_urn, csql ) - # Schema Metadata - columns = csql.get(tableau_constant.COLUMNS, []) + # if condition is needed as graphQL return "cloumns": None + columns: List[Dict[Any, Any]] = ( + cast(List[Dict[Any, Any]], csql.get(tableau_constant.COLUMNS)) + if tableau_constant.COLUMNS in csql + and csql.get(tableau_constant.COLUMNS) is not None + else [] + ) schema_metadata = self.get_schema_metadata_for_custom_sql(columns) if schema_metadata is not None: dataset_snapshot.aspects.append(schema_metadata) @@ -1450,53 +1526,143 @@ def _create_lineage_to_upstream_tables( aspect=upstream_lineage, ) - def _create_lineage_from_unsupported_csql( - self, csql_urn: str, csql: dict - ) -> Iterable[MetadataWorkUnit]: - database = csql.get(tableau_constant.DATABASE) or {} + def parse_custom_sql( + self, + datasource: dict, + datasource_urn: str, + platform: str, + env: str, + platform_instance: Optional[str], + func_overridden_info: Optional[ + Callable[ + [ + str, + Optional[str], + Optional[Dict[str, str]], + Optional[TableauLineageOverrides], + ], + Tuple[Optional[str], Optional[str], str, str], + ] + ], + ) -> Optional["SqlParsingResult"]: + + database_info = datasource.get(tableau_constant.DATABASE) or {} + + if datasource.get(tableau_constant.IS_UNSUPPORTED_CUSTOM_SQL) in (None, False): + logger.debug(f"datasource {datasource_urn} is not created from custom sql") + return None + if ( - csql.get(tableau_constant.IS_UNSUPPORTED_CUSTOM_SQL, False) - and tableau_constant.NAME in database - and tableau_constant.CONNECTION_TYPE in database + tableau_constant.NAME not in database_info + or tableau_constant.CONNECTION_TYPE not in database_info ): - upstream_tables = [] - query = csql.get(tableau_constant.QUERY) - parser = LineageRunner(query) - - try: - for table in parser.source_tables: - split_table = str(table).split(".") - if len(split_table) == 2: - datset = make_table_urn( - env=self.config.env, - upstream_db=database.get(tableau_constant.NAME), - connection_type=database.get( - tableau_constant.CONNECTION_TYPE, "" - ), - schema=split_table[0], - full_name=split_table[1], - platform_instance_map=self.config.platform_instance_map, - lineage_overrides=self.config.lineage_overrides, - ) - upstream_tables.append( - UpstreamClass( - type=DatasetLineageType.TRANSFORMED, dataset=datset - ) - ) - except Exception as e: - self.report.report_warning( - key="csql-lineage", - reason=f"Unable to retrieve lineage from query. " - f"Query: {query} " - f"Reason: {str(e)} ", + logger.debug( + f"database information is missing from datasource {datasource_urn}" + ) + return None + + query = datasource.get(tableau_constant.QUERY) + if query is None: + logger.debug( + f"raw sql query is not available for datasource {datasource_urn}" + ) + return None + + logger.debug(f"Parsing sql={query}") + + upstream_db = database_info.get(tableau_constant.NAME) + + if func_overridden_info is not None: + # Override the information as per configuration + upstream_db, platform_instance, platform, _ = func_overridden_info( + database_info[tableau_constant.CONNECTION_TYPE], + database_info.get(tableau_constant.NAME), + self.config.platform_instance_map, + self.config.lineage_overrides, + ) + + logger.debug( + f"Overridden info upstream_db={upstream_db}, platform_instance={platform_instance}, platform={platform}" + ) + + parsed_result: Optional["SqlParsingResult"] = None + try: + schema_resolver = ( + self.ctx.graph._make_schema_resolver( + platform=platform, + platform_instance=platform_instance, + env=env, + ) + if self.ctx.graph is not None + else SchemaResolver( + platform=platform, + platform_instance=platform_instance, + env=env, + graph=None, ) - upstream_lineage = UpstreamLineage(upstreams=upstream_tables) - yield self.get_metadata_change_proposal( - csql_urn, - aspect_name=tableau_constant.UPSTREAM_LINEAGE, - aspect=upstream_lineage, ) + if schema_resolver.graph is None: + logger.warning( + "Column Level Lineage extraction would not work as DataHub graph client is None." + ) + + parsed_result = sqlglot_lineage( + query, + schema_resolver=schema_resolver, + default_db=upstream_db, + ) + except Exception as e: + self.report.report_warning( + key="csql-lineage", + reason=f"Unable to retrieve lineage from query. " + f"Query: {query} " + f"Reason: {str(e)} ", + ) + + return parsed_result + + def _create_lineage_from_unsupported_csql( + self, csql_urn: str, csql: dict + ) -> Iterable[MetadataWorkUnit]: + + parsed_result = self.parse_custom_sql( + datasource=csql, + datasource_urn=csql_urn, + env=self.config.env, + platform=self.platform, + platform_instance=self.config.platform_instance, + func_overridden_info=get_overridden_info, + ) + + if parsed_result is None: + logger.info( + f"Failed to extract table level lineage for datasource {csql_urn}" + ) + return + + upstream_tables = make_upstream_class(parsed_result) + + logger.debug(f"Upstream tables = {upstream_tables}") + + fine_grained_lineages: List[FineGrainedLineage] = [] + if self.config.extract_column_level_lineage: + logger.info("Extracting CLL from custom sql") + fine_grained_lineages = make_fine_grained_lineage_class( + parsed_result, csql_urn + ) + + upstream_lineage = UpstreamLineage( + upstreams=upstream_tables, + fineGrainedLineages=fine_grained_lineages, + ) + + yield self.get_metadata_change_proposal( + csql_urn, + aspect_name=tableau_constant.UPSTREAM_LINEAGE, + aspect=upstream_lineage, + ) + def _get_schema_metadata_for_datasource( self, datasource_fields: List[dict] ) -> Optional[SchemaMetadata]: diff --git a/metadata-ingestion/src/datahub/ingestion/source/tableau_common.py b/metadata-ingestion/src/datahub/ingestion/source/tableau_common.py index e573f1d924d1a..2c92285fdba77 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/tableau_common.py +++ b/metadata-ingestion/src/datahub/ingestion/source/tableau_common.py @@ -1,11 +1,17 @@ import html from functools import lru_cache -from typing import Dict, List, Optional +from typing import Dict, List, Optional, Tuple from pydantic.fields import Field import datahub.emitter.mce_builder as builder from datahub.configuration.common import ConfigModel +from datahub.metadata.com.linkedin.pegasus2avro.dataset import ( + DatasetLineageType, + FineGrainedLineage, + FineGrainedLineageDownstreamType, + FineGrainedLineageUpstreamType, +) from datahub.metadata.com.linkedin.pegasus2avro.schema import ( ArrayTypeClass, BooleanTypeClass, @@ -21,7 +27,9 @@ BytesTypeClass, GlobalTagsClass, TagAssociationClass, + UpstreamClass, ) +from datahub.utilities.sqlglot_lineage import ColumnLineageInfo, SqlParsingResult class TableauLineageOverrides(ConfigModel): @@ -574,15 +582,13 @@ def get_platform_instance( return None -def make_table_urn( - env: str, - upstream_db: Optional[str], +def get_overridden_info( connection_type: str, - schema: str, - full_name: str, + upstream_db: Optional[str], platform_instance_map: Optional[Dict[str, str]], lineage_overrides: Optional[TableauLineageOverrides] = None, -) -> str: +) -> Tuple[Optional[str], Optional[str], str, str]: + original_platform = platform = get_platform(connection_type) if ( lineage_overrides is not None @@ -599,10 +605,38 @@ def make_table_urn( ): upstream_db = lineage_overrides.database_override_map[upstream_db] + platform_instance = get_platform_instance(original_platform, platform_instance_map) + + if original_platform in ("athena", "hive", "mysql"): # Two tier databases + upstream_db = None + + return upstream_db, platform_instance, platform, original_platform + + +def make_table_urn( + env: str, + upstream_db: Optional[str], + connection_type: str, + schema: str, + full_name: str, + platform_instance_map: Optional[Dict[str, str]], + lineage_overrides: Optional[TableauLineageOverrides] = None, +) -> str: + + upstream_db, platform_instance, platform, original_platform = get_overridden_info( + connection_type=connection_type, + upstream_db=upstream_db, + lineage_overrides=lineage_overrides, + platform_instance_map=platform_instance_map, + ) + table_name = get_fully_qualified_table_name( - original_platform, upstream_db, schema, full_name + original_platform, + upstream_db if upstream_db is not None else "", + schema, + full_name, ) - platform_instance = get_platform_instance(original_platform, platform_instance_map) + return builder.make_dataset_urn_with_platform_instance( platform, table_name, platform_instance, env ) @@ -620,6 +654,57 @@ def make_description_from_params(description, formula): return final_description +def make_upstream_class( + parsed_result: Optional[SqlParsingResult], +) -> List[UpstreamClass]: + upstream_tables: List[UpstreamClass] = [] + + if parsed_result is None: + return upstream_tables + + for dataset_urn in parsed_result.in_tables: + upstream_tables.append( + UpstreamClass(type=DatasetLineageType.TRANSFORMED, dataset=dataset_urn) + ) + return upstream_tables + + +def make_fine_grained_lineage_class( + parsed_result: Optional[SqlParsingResult], dataset_urn: str +) -> List[FineGrainedLineage]: + fine_grained_lineages: List[FineGrainedLineage] = [] + + if parsed_result is None: + return fine_grained_lineages + + cll: List[ColumnLineageInfo] = ( + parsed_result.column_lineage if parsed_result.column_lineage is not None else [] + ) + + for cll_info in cll: + downstream = ( + [builder.make_schema_field_urn(dataset_urn, cll_info.downstream.column)] + if cll_info.downstream is not None + and cll_info.downstream.column is not None + else [] + ) + upstreams = [ + builder.make_schema_field_urn(column_ref.table, column_ref.column) + for column_ref in cll_info.upstreams + ] + + fine_grained_lineages.append( + FineGrainedLineage( + downstreamType=FineGrainedLineageDownstreamType.FIELD, + downstreams=downstream, + upstreamType=FineGrainedLineageUpstreamType.FIELD_SET, + upstreams=upstreams, + ) + ) + + return fine_grained_lineages + + def get_unique_custom_sql(custom_sql_list: List[dict]) -> List[dict]: unique_custom_sql = [] for custom_sql in custom_sql_list: diff --git a/metadata-ingestion/tests/integration/tableau/setup/customSQLTablesConnection_all.json b/metadata-ingestion/tests/integration/tableau/setup/customSQLTablesConnection_all.json index 5c01adbd8a673..e0ef5a8e0b5a5 100644 --- a/metadata-ingestion/tests/integration/tableau/setup/customSQLTablesConnection_all.json +++ b/metadata-ingestion/tests/integration/tableau/setup/customSQLTablesConnection_all.json @@ -754,13 +754,73 @@ "connectionType": "postgres" } ] - } + }, + { + "id": "10c6297d-0dbd-44f1-b1ba-458bea446513", + "name": "Custom SQL Query", + "isUnsupportedCustomSql": true, + "query": "select seller_city, price from demo-custom-323403.bigquery_demo.sellers sell LEFT JOIN (\nselect * from demo-custom-323403.bigquery_demo.order_items\n) items on items.seller_id=sell.seller_id", + "columns": [ + { + "id": "2cf31227-900f-7ac8-88c9-07404c3ff832", + "name": "price", + "remoteType": "R8", + "description": null, + "referencedByFields": [ + { + "datasource": { + "__typename": "PublishedDatasource", + "id": "bda518f0-0867-679d-2390-891a05972f9e", + "name": "AbcJoinWorkbook", + "upstreamTables": [], + "projectName": "SubProject1", + "luid": "830c29b1-9d28-4e76-922e-65c0061a4b82" + } + } + ] + }, + { + "id": "d94ba54b-3c1b-410a-7109-ce0c5f82a955", + "name": "seller_city", + "remoteType": "WSTR", + "description": null, + "referencedByFields": [ + { + "datasource": { + "__typename": "PublishedDatasource", + "id": "bda518f0-0867-679d-2390-891a05972f9e", + "name": "AbcJoinWorkbook", + "upstreamTables": [], + "projectName": "SubProject1", + "luid": "830c29b1-9d28-4e76-922e-65c0061a4b82" + } + } + ] + } + ], + "tables": [], + "database": { + "name": "My Project 42084", + "connectionType": "bigquery" + }, + "datasources": [ + { + "__typename": "PublishedDatasource", + "id": "bda518f0-0867-679d-2390-891a05972f9e", + "name": "AbcJoinWorkbook", + "upstreamTables": [], + "projectName": "SubProject1", + "luid": "830c29b1-9d28-4e76-922e-65c0061a4b82" + } + ] + } ], + "pageInfo": { "hasNextPage": false, "endCursor": null }, - "totalCount": 2 + "totalCount": 3 } } } \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/tableau/setup/embeddedDatasourcesConnection_all.json b/metadata-ingestion/tests/integration/tableau/setup/embeddedDatasourcesConnection_all.json index 665076bd8affb..bdb5013c2ea48 100644 --- a/metadata-ingestion/tests/integration/tableau/setup/embeddedDatasourcesConnection_all.json +++ b/metadata-ingestion/tests/integration/tableau/setup/embeddedDatasourcesConnection_all.json @@ -1625,7 +1625,7 @@ "name": "last_name", "table": { "__typename": "CustomSQLTable", - "id": "22b0b4c3-6b85-713d-a161-5a87fdd78f40" + "id": "10c6297d-0dbd-44f1-b1ba-458bea446513" } } ] diff --git a/metadata-ingestion/tests/integration/tableau/tableau_cll_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_cll_mces_golden.json new file mode 100644 index 0000000000000..4575144c6f844 --- /dev/null +++ b/metadata-ingestion/tests/integration/tableau/tableau_cll_mces_golden.json @@ -0,0 +1,43283 @@ +[ +{ + "entityType": "container", + "entityUrn": 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"/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": 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The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false 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"urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue", + "title": "Overdue", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + 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}, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": 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It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": 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"schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)", + "schemaField": { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + 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"urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + 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"tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)", + "schemaField": { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Total Active Incidents)", + "schemaField": { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": 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The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": { + "hasExtracts": "True", + "extractLastRefreshTime": "2018-01-18T19:35:39Z", + "extractLastUpdateTime": "2018-01-18T19:35:39Z" + }, + "name": "Requests", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "Closed by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Mobile Picture", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": 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+ "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Recurring price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + 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"com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Visible on Guides", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Requested Item) 1", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery time", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Stage", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Request", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve Time", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + 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"tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + 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{ + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + 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[Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + 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The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # 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"isPartOfKey": false + }, + { + "fieldPath": "Created by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + 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"fieldPath": "Migrated Data", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.ArrayType": {} + } + }, + "nativeDataType": "TABLE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "u", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": 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"type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change request", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, 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"urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Roles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Exclude manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lucha", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group email", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Include members", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Names", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": 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"urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)" + ], + "transformOperation": "CalculatedFieldformula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + 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time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + 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"fieldPath": "Notify (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Requires verification", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Maintenance schedule", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent", + "nullable": false, + "description": "", 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false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": 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"recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Skip sync", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "DNS Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caller (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Department", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolved by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Managed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Names", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Model number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + 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"fieldPath": "Model ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Owned by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Invoice number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Ordered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order received", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Discovery source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Class", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Operational status", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve time (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reopen count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Most recent discovery", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fault count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caused by Change (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "MAC Address", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Schedule", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + 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"recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change Request (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Incident state (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked in", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Severity (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": 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{ + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Can Print", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + 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Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": 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"lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:marketo-marketo,marketo.activity6,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:marketo-marketo,marketo.activity7,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:marketo-marketo,marketo.campaignstable,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.cmdb_ci,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.incident,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.problem,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_cat_item,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_req_item,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_request,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sys_user_group,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:ATTRIBUTE", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "ATTRIBUTE" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:BINFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "BINFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:CALCULATEDFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "CALCULATEDFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:COLUMNFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "COLUMNFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:COUNT", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "COUNT" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:DATASOURCEFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "DATASOURCEFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:DIMENSION", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "DIMENSION" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:GROUPFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "GROUPFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:HIERARCHYFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "HIERARCHYFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:MEASURE", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "MEASURE" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:SETFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "SETFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:SUM", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "SUM" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:TagSheet3", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "TagSheet3" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:YEAR", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "YEAR" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +} +] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/tableau/tableau_extract_all_project_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_extract_all_project_mces_golden.json index e6782c1c9f5f3..12eb780447c18 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_extract_all_project_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_extract_all_project_mces_golden.json @@ -12779,6 +12779,14 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "type": "TRANSFORMED" } ], "fineGrainedLineages": [ @@ -12796,7 +12804,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD),last_name)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD),last_name)" ], "downstreamType": "FIELD", "downstreams": [ @@ -33581,6 +33589,132 @@ "runId": "tableau-test" } }, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "price", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "R8", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "seller_city", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "WSTR", + "recursive": false, + "isPartOfKey": false + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/SubProject1/AbcJoinWorkbook" + ] + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": {}, + "name": "Custom SQL Query", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.dataset.ViewProperties": { + "materialized": false, + "viewLogic": "select seller_city, price from demo-custom-323403.bigquery_demo.sellers sell LEFT JOIN (\nselect * from demo-custom-323403.bigquery_demo.order_items\n) items on items.seller_id=sell.seller_id", + "viewLanguage": "SQL" + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "View", + "Custom SQL" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "SubProject1" + }, + { + "id": "AbcJoinWorkbook" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -42756,6 +42890,21 @@ "runId": "tableau-test" } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", diff --git a/metadata-ingestion/tests/integration/tableau/tableau_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_mces_golden.json index ea15a2ac56b58..77ea484abfa0e 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_mces_golden.json @@ -12547,6 +12547,14 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "type": "TRANSFORMED" } ], "fineGrainedLineages": [ @@ -12564,7 +12572,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD),last_name)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD),last_name)" ], "downstreamType": "FIELD", "downstreams": [ @@ -33349,6 +33357,132 @@ "runId": "tableau-test" } }, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "price", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "R8", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "seller_city", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "WSTR", + "recursive": false, + "isPartOfKey": false + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/SubProject1/AbcJoinWorkbook" + ] + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": {}, + "name": "Custom SQL Query", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.dataset.ViewProperties": { + "materialized": false, + "viewLogic": "select seller_city, price from demo-custom-323403.bigquery_demo.sellers sell LEFT JOIN (\nselect * from demo-custom-323403.bigquery_demo.order_items\n) items on items.seller_id=sell.seller_id", + "viewLanguage": "SQL" + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "View", + "Custom SQL" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "SubProject1" + }, + { + "id": "AbcJoinWorkbook" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -42524,6 +42658,21 @@ "runId": "tableau-test" } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", diff --git a/metadata-ingestion/tests/integration/tableau/tableau_mces_golden_deleted_stateful.json b/metadata-ingestion/tests/integration/tableau/tableau_mces_golden_deleted_stateful.json index 08d5127b18041..fb9cca0b6a544 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_mces_golden_deleted_stateful.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_mces_golden_deleted_stateful.json @@ -482,6 +482,21 @@ "runId": "tableau-test" } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": true + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "entityType": "chart", "entityUrn": "urn:li:chart:(tableau,f4317efd-c3e6-6ace-8fe6-e71b590bbbcc)", diff --git a/metadata-ingestion/tests/integration/tableau/tableau_nested_project_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_nested_project_mces_golden.json index e6782c1c9f5f3..87cba090cee77 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_nested_project_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_nested_project_mces_golden.json @@ -12779,6 +12779,14 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "type": "TRANSFORMED" } ], "fineGrainedLineages": [ @@ -12796,7 +12804,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD),last_name)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD),last_name)" ], "downstreamType": "FIELD", "downstreams": [ @@ -33581,6 +33589,103 @@ "runId": "tableau-test" } }, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "price", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "R8", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "seller_city", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "WSTR", + "recursive": false, + "isPartOfKey": false + } + ] + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": {}, + "name": "Custom SQL Query", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.dataset.ViewProperties": { + "materialized": false, + "viewLogic": "select seller_city, price from demo-custom-323403.bigquery_demo.sellers sell LEFT JOIN (\nselect * from demo-custom-323403.bigquery_demo.order_items\n) items on items.seller_id=sell.seller_id", + "viewLanguage": "SQL" + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "View", + "Custom SQL" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -42756,6 +42861,21 @@ "runId": "tableau-test" } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", diff --git a/metadata-ingestion/tests/integration/tableau/tableau_signout_timeout_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_signout_timeout_mces_golden.json index ea15a2ac56b58..77ea484abfa0e 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_signout_timeout_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_signout_timeout_mces_golden.json @@ -12547,6 +12547,14 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "type": "TRANSFORMED" } ], "fineGrainedLineages": [ @@ -12564,7 +12572,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD),last_name)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD),last_name)" ], "downstreamType": "FIELD", "downstreams": [ @@ -33349,6 +33357,132 @@ "runId": "tableau-test" } }, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "price", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "R8", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "seller_city", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "WSTR", + "recursive": false, + "isPartOfKey": false + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/SubProject1/AbcJoinWorkbook" + ] + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": {}, + "name": "Custom SQL Query", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.dataset.ViewProperties": { + "materialized": false, + "viewLogic": "select seller_city, price from demo-custom-323403.bigquery_demo.sellers sell LEFT JOIN (\nselect * from demo-custom-323403.bigquery_demo.order_items\n) items on items.seller_id=sell.seller_id", + "viewLanguage": "SQL" + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "View", + "Custom SQL" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "SubProject1" + }, + { + "id": "AbcJoinWorkbook" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -42524,6 +42658,21 @@ "runId": "tableau-test" } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", diff --git a/metadata-ingestion/tests/integration/tableau/tableau_with_platform_instance_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_with_platform_instance_mces_golden.json index e94ff0118e04c..7408e481a9411 100644 --- a/metadata-ingestion/tests/integration/tableau/tableau_with_platform_instance_mces_golden.json +++ b/metadata-ingestion/tests/integration/tableau/tableau_with_platform_instance_mces_golden.json @@ -12649,6 +12649,14 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,acryl_site1.22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,acryl_site1.10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "type": "TRANSFORMED" } ], "fineGrainedLineages": [ @@ -12666,7 +12674,7 @@ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,acryl_site1.22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD),last_name)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,acryl_site1.10c6297d-0dbd-44f1-b1ba-458bea446513,PROD),last_name)" ], "downstreamType": "FIELD", "downstreams": [ @@ -33490,6 +33498,137 @@ "runId": "tableau-test" } }, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,acryl_site1.10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau", + "instance": "urn:li:dataPlatformInstance:(urn:li:dataPlatform:tableau,acryl_site1)" + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "price", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "R8", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "seller_city", + "nullable": false, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "WSTR", + "recursive": false, + "isPartOfKey": false + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/SubProject1/AbcJoinWorkbook" + ] + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": {}, + "name": "Custom SQL Query", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.dataset.ViewProperties": { + "materialized": false, + "viewLogic": "select seller_city, price from demo-custom-323403.bigquery_demo.sellers sell LEFT JOIN (\nselect * from demo-custom-323403.bigquery_demo.order_items\n) items on items.seller_id=sell.seller_id", + "viewLanguage": "SQL" + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,acryl_site1.10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "View", + "Custom SQL" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,acryl_site1.10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:dataPlatformInstance:(urn:li:dataPlatform:tableau,acryl_site1)", + "urn": "urn:li:dataPlatformInstance:(urn:li:dataPlatform:tableau,acryl_site1)" + }, + { + "id": "SubProject1" + }, + { + "id": "AbcJoinWorkbook" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "proposedSnapshot": { "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { @@ -42749,6 +42888,21 @@ "runId": "tableau-test" } }, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,acryl_site1.10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test" + } +}, { "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,acryl_site1.22b0b4c3-6b85-713d-a161-5a87fdd78f40,PROD)", diff --git a/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py b/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py index 8615545ffbd57..d04c8d905b439 100644 --- a/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py +++ b/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py @@ -2,7 +2,7 @@ import logging import pathlib import sys -from typing import cast +from typing import Any, Dict, cast from unittest import mock import pytest @@ -27,6 +27,7 @@ UpstreamLineage, ) from datahub.metadata.schema_classes import MetadataChangeProposalClass, UpstreamClass +from datahub.utilities.sqlglot_lineage import SqlParsingResult from tests.test_helpers import mce_helpers from tests.test_helpers.state_helpers import ( get_current_checkpoint_from_pipeline, @@ -289,6 +290,39 @@ def test_tableau_ingest(pytestconfig, tmp_path, mock_datahub_graph): ) +@freeze_time(FROZEN_TIME) +@pytest.mark.integration +def test_tableau_cll_ingest(pytestconfig, tmp_path, mock_datahub_graph): + enable_logging() + output_file_name: str = "tableau_mces_cll.json" + golden_file_name: str = "tableau_cll_mces_golden.json" + + new_pipeline_config: Dict[Any, Any] = { + **config_source_default, + "extract_lineage_from_unsupported_custom_sql_queries": True, + "extract_column_level_lineage": True, + } + + tableau_ingest_common( + pytestconfig=pytestconfig, + tmp_path=tmp_path, + side_effect_query_metadata_response=[ + read_response(pytestconfig, "workbooksConnection_all.json"), + read_response(pytestconfig, "sheetsConnection_all.json"), + read_response(pytestconfig, "dashboardsConnection_all.json"), + read_response(pytestconfig, "embeddedDatasourcesConnection_all.json"), + read_response(pytestconfig, "publishedDatasourcesConnection_all.json"), + read_response(pytestconfig, "customSQLTablesConnection_all.json"), + read_response(pytestconfig, "databaseTablesConnection_all.json"), + ], + golden_file_name=golden_file_name, + output_file_name=output_file_name, + mock_datahub_graph=mock_datahub_graph, + pipeline_name="test_tableau_cll_ingest", + pipeline_config=new_pipeline_config, + ) + + @freeze_time(FROZEN_TIME) @pytest.mark.integration def test_project_pattern(pytestconfig, tmp_path, mock_datahub_graph): @@ -615,7 +649,7 @@ def test_tableau_stateful(pytestconfig, tmp_path, mock_time, mock_datahub_graph) state1.get_urns_not_in(type="dataset", other_checkpoint_state=state2) ) - assert len(difference_dataset_urns) == 33 + assert len(difference_dataset_urns) == 34 deleted_dataset_urns = [ "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", "urn:li:dataset:(urn:li:dataPlatform:tableau,d00f4ba6-707e-4684-20af-69eb47587cc2,PROD)", @@ -650,6 +684,7 @@ def test_tableau_stateful(pytestconfig, tmp_path, mock_time, mock_datahub_graph) "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:marketo-marketo,marketo.campaignstable,PROD)", "urn:li:dataset:(urn:li:dataPlatform:external,sample - superstore%2C %28new%29.xls.people,PROD)", "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_cat_item,PROD)", + "urn:li:dataset:(urn:li:dataPlatform:tableau,10c6297d-0dbd-44f1-b1ba-458bea446513,PROD)", ] assert sorted(deleted_dataset_urns) == sorted(difference_dataset_urns) @@ -755,30 +790,48 @@ def test_tableau_unsupported_csql(mock_datahub_graph): config.lineage_overrides = TableauLineageOverrides( database_override_map={"production database": "prod"} ) - source = TableauSource(config=config, ctx=context) - lineage = source._create_lineage_from_unsupported_csql( - csql_urn="urn:li:dataset:(urn:li:dataPlatform:tableau,09988088-05ad-173c-a2f1-f33ba3a13d1a,PROD)", - csql={ - "query": "SELECT user_id, source, user_source FROM (SELECT *, ROW_NUMBER() OVER (partition BY user_id ORDER BY __partition_day DESC) AS rank_ FROM invent_dw.UserDetail ) source_user WHERE rank_ = 1", - "isUnsupportedCustomSql": "true", - "database": {"name": "production database", "connectionType": "bigquery"}, - }, - ) - mcp = cast(MetadataChangeProposalClass, next(iter(lineage)).metadata) + with mock.patch( + "datahub.ingestion.source.tableau.sqlglot_lineage" + ) as sqlglot_lineage: - assert mcp.aspect == UpstreamLineage( - upstreams=[ - UpstreamClass( - dataset="urn:li:dataset:(urn:li:dataPlatform:bigquery,prod.invent_dw.userdetail,PROD)", - type=DatasetLineageType.TRANSFORMED, - ) - ] - ) - assert ( - mcp.entityUrn - == "urn:li:dataset:(urn:li:dataPlatform:tableau,09988088-05ad-173c-a2f1-f33ba3a13d1a,PROD)" - ) + sqlglot_lineage.return_value = SqlParsingResult( # type:ignore + in_tables=[ + "urn:li:dataset:(urn:li:dataPlatform:bigquery,my_bigquery_project.invent_dw.userdetail,PROD)" + ], + out_tables=[], + column_lineage=None, + ) + + source = TableauSource(config=config, ctx=context) + + lineage = source._create_lineage_from_unsupported_csql( + csql_urn="urn:li:dataset:(urn:li:dataPlatform:tableau,09988088-05ad-173c-a2f1-f33ba3a13d1a,PROD)", + csql={ + "query": "SELECT user_id, source, user_source FROM (SELECT *, ROW_NUMBER() OVER (partition BY user_id ORDER BY __partition_day DESC) AS rank_ FROM invent_dw.UserDetail ) source_user WHERE rank_ = 1", + "isUnsupportedCustomSql": "true", + "database": { + "name": "my-bigquery-project", + "connectionType": "bigquery", + }, + }, + ) + + mcp = cast(MetadataChangeProposalClass, next(iter(lineage)).metadata) + + assert mcp.aspect == UpstreamLineage( + upstreams=[ + UpstreamClass( + dataset="urn:li:dataset:(urn:li:dataPlatform:bigquery,my_bigquery_project.invent_dw.userdetail,PROD)", + type=DatasetLineageType.TRANSFORMED, + ) + ], + fineGrainedLineages=[], + ) + assert ( + mcp.entityUrn + == "urn:li:dataset:(urn:li:dataPlatform:tableau,09988088-05ad-173c-a2f1-f33ba3a13d1a,PROD)" + ) @freeze_time(FROZEN_TIME) From 2e2a6748acf8fc1cf1307e7bb4185a78b9931100 Mon Sep 17 00:00:00 2001 From: Benjamin Dornel <62495124+benjamin-awd@users.noreply.github.com> Date: Tue, 1 Aug 2023 22:05:40 +0800 Subject: [PATCH 10/10] fix(ingest/json-schema): convert non-string enums to strings (#8479) --- .../datahub/ingestion/extractor/json_schema_util.py | 4 +++- .../tests/unit/schema/test_json_schema_util.py | 13 +++++++++++++ 2 files changed, 16 insertions(+), 1 deletion(-) diff --git a/metadata-ingestion/src/datahub/ingestion/extractor/json_schema_util.py b/metadata-ingestion/src/datahub/ingestion/extractor/json_schema_util.py index cfa1b7609c0b1..8e313e92cbf84 100644 --- a/metadata-ingestion/src/datahub/ingestion/extractor/json_schema_util.py +++ b/metadata-ingestion/src/datahub/ingestion/extractor/json_schema_util.py @@ -254,11 +254,13 @@ def _field_from_primitive( isPartOfKey=field_path.is_key_schema, ) elif datahub_field_type in [EnumTypeClass]: + # Convert enums to string representation + schema_enums = list(map(json.dumps, schema["enum"])) yield SchemaField( fieldPath=field_path.expand_type("enum", schema).as_string(), type=type_override or SchemaFieldDataTypeClass(type=EnumTypeClass()), nativeDataType="Enum", - description=f"one of {','.join(schema['enum'])}", + description=f"One of: {', '.join(schema_enums)}", nullable=nullable, jsonProps=JsonSchemaTranslator._get_jsonprops_for_any_schema( schema, required=required diff --git a/metadata-ingestion/tests/unit/schema/test_json_schema_util.py b/metadata-ingestion/tests/unit/schema/test_json_schema_util.py index 731ee336621fd..2635363ed8d2e 100644 --- a/metadata-ingestion/tests/unit/schema/test_json_schema_util.py +++ b/metadata-ingestion/tests/unit/schema/test_json_schema_util.py @@ -712,6 +712,19 @@ def test_required_field(): assert json.loads(fields[0].jsonProps or "{}")["required"] is False +def test_non_str_enums(): + schema = { + "$id": "test", + "$schema": "http://json-schema.org/draft-06/schema#", + "properties": {"bar": {"description": "Mixed enum", "enum": ["baz", 1, None]}}, + } + + fields = list(JsonSchemaTranslator.get_fields_from_schema(schema)) + expected_field_paths: List[str] = ["[version=2.0].[type=object].[type=enum].bar"] + assert_field_paths_match(fields, expected_field_paths) + assert fields[0].description == 'One of: "baz", 1, null' + + def test_anyof_with_properties(): # We expect the event / timestamp fields to be included in both branches of the anyOf.