Bump go.opentelemetry.io/collector/config/confighttp from 0.101.1-0.20240527192838-af4fdd4e342a to 0.102.0 in /cmd/telemetrygen/internal/e2etest #1
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Bumps [go.opentelemetry.io/collector/config/confighttp](https://github.com/open-telemetry/opentelemetry-collector) from 0.101.1-0.20240527192838-af4fdd4e342a to 0.102.0. - [Release notes](https://github.com/open-telemetry/opentelemetry-collector/releases) - [Changelog](https://github.com/open-telemetry/opentelemetry-collector/blob/main/CHANGELOG-API.md) - [Commits](https://github.com/open-telemetry/opentelemetry-collector/commits/v0.102.0) --- updated-dependencies: - dependency-name: go.opentelemetry.io/collector/config/confighttp dependency-type: indirect ... Signed-off-by: dependabot[bot] <[email protected]>
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…try#33225) **Description:** <Describe what has changed.> Using the DB span example below, X-Ray exporter failed to generate the expected DB call subsegment names because it could not parse JDBC connection strings that start with the `jdbc:` prefix. ``` Span #1 Trace ID : 663a0b68a5e3849c09c07f914b3df738 Parent ID : 1052e2a4a2516884 ID : 374de78b552e23c2 Name : orders@no-appsignals-mysql-1.cnkqok6c8mo1.eu-west-1.rds.amazonaws.com Kind : Client Start time : 2024-05-07 11:07:20.62 +0000 UTC End time : 2024-05-07 11:07:20.624 +0000 UTC Status code : Unset Status message : Attributes: -> db.connection_string: Str(jdbc:mysql://no-appsignals-mysql-1.cnkqok6c8mo1.eu-west-1.rds.amazonaws.com:3306) -> db.name: Str(orders) -> db.system: Str(MySQL) -> db.user: Str([email protected]) ``` **Link to tracking Issue:** <Issue number if applicable> **Testing:** <Describe what testing was performed and which tests were added.> local tests
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…pen-telemetry#33353) **Description:** <Describe what has changed.> <!--Ex. Fixing a bug - Describe the bug and how this fixes the issue. Ex. Adding a feature - Explain what this achieves.--> Container parser should add k8s metadata as resource attributes and not as log record attributes. **Link to tracking Issue:** <Issue number if applicable> Fixes open-telemetry#33341 **Testing:** <Describe what testing was performed and which tests were added.> Manual testing on local k8s cluster: ```console 2024-06-04T06:40:08.219Z info ResourceLog #0 Resource SchemaURL: Resource attributes: -> k8s.pod.uid: Str(d5ecc924-e255-4525-b5be-6437939b1e4d) -> k8s.container.name: Str(busybox) -> k8s.namespace.name: Str(default) -> k8s.pod.name: Str(daemonset-logs-dhzcq) -> k8s.container.restart_count: Str(0) ScopeLogs #0 ScopeLogs SchemaURL: InstrumentationScope LogRecord #0 ObservedTimestamp: 2024-06-04 06:40:08.007370503 +0000 UTC Timestamp: 2024-06-04 06:40:07.855932421 +0000 UTC SeverityText: SeverityNumber: Unspecified(0) Body: Str(otel logs at 06:40:07) Attributes: -> logtag: Str(F) -> key2: Map({"key_in":"val2"}) -> log.file.path: Str(/var/log/pods/default_daemonset-logs-dhzcq_d5ecc924-e255-4525-b5be-6437939b1e4d/busybox/0.log) -> time: Str(2024-06-04T06:40:07.855932421Z) -> log.iostream: Str(stdout) Trace ID: Span ID: Flags: 0 LogRecord #1 ObservedTimestamp: 2024-06-04 06:40:08.007451031 +0000 UTC Timestamp: 2024-06-04 06:40:07.957875321 +0000 UTC SeverityText: SeverityNumber: Unspecified(0) Body: Str(otel logs at 06:40:07) Attributes: -> log.file.path: Str(/var/log/pods/default_daemonset-logs-dhzcq_d5ecc924-e255-4525-b5be-6437939b1e4d/busybox/0.log) -> log.iostream: Str(stdout) -> time: Str(2024-06-04T06:40:07.957875321Z) -> key2: Map({"key_in":"val2"}) -> logtag: Str(F) Trace ID: Span ID: Flags: 0 ``` **Documentation:** <Describe the documentation added.> ~ --------- Signed-off-by: ChrsMark <[email protected]>
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This PR was marked stale due to lack of activity. It will be closed in 14 days. |
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Closed as inactive. Feel free to reopen if this PR is still being worked on. |
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OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting If you change your mind, just re-open this PR and I'll resolve any conflicts on it. |
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…try.log_response_body` config (open-telemetry#33854) **Description:** <Describe what has changed.> <!--Ex. Fixing a bug - Describe the bug and how this fixes the issue. Ex. Adding a feature - Explain what this achieves.--> - Add `telemetry.log_request_body` and `telemetry.log_response_body` config for debugging. Debug log will contain field `request_body` and/or `response_body` in the same log line instead of separate lines to avoid interleaved log lines. - Change "Request failed" log level to debug. Output: ``` 2024-07-02T14:09:24.983+0100 debug elasticsearchexporter/elasticsearch_bulk.go:67 Request roundtrip completed. {"kind": "exporter", "data_type": "logs", "name": "elasticsearch", "response_body": "{\"version\":{\"number\":\"1.2.3\"}}\n", "path": "/", "method": "GET", "duration": 0.000865486, "status": "200 OK"} 2024-07-02T14:09:24.984+0100 debug elasticsearchexporter/elasticsearch_bulk.go:67 Request roundtrip completed. {"kind": "exporter", "data_type": "logs", "name": "elasticsearch", "request_body": "{\"create\":{\"_index\":\"logs-test-idx\"}}\n{\"@timestamp\":\"2024-07-02T13:09:24.970187592Z\",\"Attributes\":{\"a\":\"test\",\"b\":5,\"batch_index\":\"batch_1\",\"c\":3,\"d\":true,\"item_index\":\"item_1\"},\"Body\":\"Load Generator Counter #0\",\"Scope\":{\"name\":\"\",\"version\":\"\"},\"SeverityNumber\":11,\"SeverityText\":\"INFO3\",\"TraceFlags\":1}\n{\"create\":{\"_index\":\"logs-test-idx\"}}\n{\"@timestamp\":\"2024-07-02T13:09:24.970187592Z\",\"Attributes\":{\"a\":\"test\",\"b\":5,\"batch_index\":\"batch_1\",\"c\":3,\"d\":true,\"item_index\":\"item_2\"},\"Body\":\"Load Generator Counter #1\",\"Scope\":{\"name\":\"\",\"version\":\"\"},\"SeverityNumber\":11,\"SeverityText\":\"INFO3\",\"TraceFlags\":1}\n", "response_body": "{\"took\":0,\"errors\":false,\"items\":[{\"create\":{\"_index\":\"logs-test-idx\",\"_id\":\"\",\"_version\":0,\"result\":\"\",\"status\":201,\"_seq_no\":0,\"_primary_term\":0,\"_shards\":{\"total\":0,\"successful\":0,\"failed\":0},\"error\":{\"type\":\"\",\"reason\":\"\",\"caused_by\":{\"type\":\"\",\"reason\":\"\"}}}},{\"create\":{\"_index\":\"logs-test-idx\",\"_id\":\"\",\"_version\":0,\"result\":\"\",\"status\":201,\"_seq_no\":0,\"_primary_term\":0,\"_shards\":{\"total\":0,\"successful\":0,\"failed\":0},\"error\":{\"type\":\"\",\"reason\":\"\",\"caused_by\":{\"type\":\"\",\"reason\":\"\"}}}}]}\n", "path": "/_bulk", "method": "POST", "duration": 0.000539979, "status": "200 OK"} ``` Required config to log ``` exporters: elasticsearch: telemetry: log_request_body: true log_response_body: true service: telemetry: logs: level: debug ``` For easier analysis, limit the size of request body size. Use `num_workers`=1 and lower `flush.bytes` and/or `flush.interval`. **Link to tracking Issue:** <Issue number if applicable> **Testing:** <Describe what testing was performed and which tests were added.> Manually verified with a modified integration test. **Documentation:** <Describe the documentation added.>
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Oct 4, 2024
… Histo --> Histogram (open-telemetry#33824) ## Description This PR adds a custom metric function to the transformprocessor to convert exponential histograms to explicit histograms. Link to tracking issue: Resolves open-telemetry#33827 **Function Name** ``` convert_exponential_histogram_to_explicit_histogram ``` **Arguments:** - `distribution` (_upper, midpoint, uniform, random_) - `ExplicitBoundaries: []float64` **Usage example:** ```yaml processors: transform: error_mode: propagate metric_statements: - context: metric statements: - convert_exponential_histogram_to_explicit_histogram("random", [10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]) ``` **Converts:** ``` Resource SchemaURL: ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: response_time -> Description: -> Unit: -> DataType: ExponentialHistogram -> AggregationTemporality: Delta ExponentialHistogramDataPoints #0 Data point attributes: -> metric_type: Str(timing) StartTimestamp: 1970-01-01 00:00:00 +0000 UTC Timestamp: 2024-07-31 09:35:25.212037 +0000 UTC Count: 44 Sum: 999.000000 Min: 40.000000 Max: 245.000000 Bucket (32.000000, 64.000000], Count: 10 Bucket (64.000000, 128.000000], Count: 22 Bucket (128.000000, 256.000000], Count: 12 {"kind": "exporter", "data_type": "metrics", "name": "debug"} ``` **To:** ``` Resource SchemaURL: ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: response_time -> Description: -> Unit: -> DataType: Histogram -> AggregationTemporality: Delta HistogramDataPoints #0 Data point attributes: -> metric_type: Str(timing) StartTimestamp: 1970-01-01 00:00:00 +0000 UTC Timestamp: 2024-07-30 21:37:07.830902 +0000 UTC Count: 44 Sum: 999.000000 Min: 40.000000 Max: 245.000000 ExplicitBounds #0: 10.000000 ExplicitBounds #1: 20.000000 ExplicitBounds #2: 30.000000 ExplicitBounds #3: 40.000000 ExplicitBounds #4: 50.000000 ExplicitBounds #5: 60.000000 ExplicitBounds #6: 70.000000 ExplicitBounds #7: 80.000000 ExplicitBounds #8: 90.000000 ExplicitBounds #9: 100.000000 Buckets #0, Count: 0 Buckets #1, Count: 0 Buckets #2, Count: 0 Buckets #3, Count: 2 Buckets #4, Count: 5 Buckets #5, Count: 0 Buckets #6, Count: 3 Buckets #7, Count: 7 Buckets #8, Count: 2 Buckets #9, Count: 4 Buckets #10, Count: 21 {"kind": "exporter", "data_type": "metrics", "name": "debug"} ``` ### Testing - Several unit tests have been created. We have also tested by ingesting and converting exponential histograms from the `statsdreceiver` as well as directly via the `otlpreceiver` over grpc over several hours with a large amount of data. - We have clients that have been running this solution in production for a number of weeks. ### Readme description: ### convert_exponential_hist_to_explicit_hist `convert_exponential_hist_to_explicit_hist([ExplicitBounds])` the `convert_exponential_hist_to_explicit_hist` function converts an ExponentialHistogram to an Explicit (_normal_) Histogram. `ExplicitBounds` is represents the list of bucket boundaries for the new histogram. This argument is __required__ and __cannot be empty__. __WARNING:__ The process of converting an ExponentialHistogram to an Explicit Histogram is not perfect and may result in a loss of precision. It is important to define an appropriate set of bucket boundaries to minimize this loss. For example, selecting Boundaries that are too high or too low may result histogram buckets that are too wide or too narrow, respectively. --------- Co-authored-by: Kent Quirk <[email protected]> Co-authored-by: Tyler Helmuth <[email protected]>
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Bumps go.opentelemetry.io/collector/config/confighttp from 0.101.1-0.20240527192838-af4fdd4e342a to 0.102.0.
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