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Add IT to verify Iceberg metadata changes
Signed-off-by: Chen Dai <[email protected]>
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107 changes: 107 additions & 0 deletions
107
.../src/test/scala/org/opensearch/flint/spark/iceberg/FlintSparkIcebergMetadataITSuite.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,107 @@ | ||
| /* | ||
| * Copyright OpenSearch Contributors | ||
| * SPDX-License-Identifier: Apache-2.0 | ||
| */ | ||
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| package org.opensearch.flint.spark.iceberg | ||
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| import org.opensearch.flint.spark.covering.FlintSparkCoveringIndex.getFlintIndexName | ||
| import org.scalatest.matchers.should.Matchers | ||
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| import org.apache.spark.sql.flint.config.FlintSparkConf.OPTIMIZER_RULE_COVERING_INDEX_ENABLED | ||
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| class FlintSparkIcebergMetadataITSuite extends FlintSparkIcebergSuite with Matchers { | ||
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| private val testIcebergTable = "spark_catalog.default.covering_sql_iceberg_test" | ||
| private val testFlintIndex = getFlintIndexName("all", testIcebergTable) | ||
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| override def beforeAll(): Unit = { | ||
| super.beforeAll() | ||
| setFlintSparkConf(OPTIMIZER_RULE_COVERING_INDEX_ENABLED, "false") | ||
| } | ||
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| override protected def beforeEach(): Unit = { | ||
| super.beforeEach() | ||
| sql(s""" | ||
| | CREATE TABLE $testIcebergTable ( | ||
| | time_dt TIMESTAMP, | ||
| | status_code STRING, | ||
| | action STRING | ||
| | ) | ||
| | USING iceberg | ||
| |""".stripMargin) | ||
|
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| // v1 | ||
| sql( | ||
| s"INSERT INTO $testIcebergTable VALUES (TIMESTAMP '2023-10-01 00:01:00', '200', 'Accept')") | ||
| // v2 | ||
| sql( | ||
| s"INSERT INTO $testIcebergTable VALUES (TIMESTAMP '2023-10-02 00:01:00', '200', 'Accept')") | ||
| // v3 | ||
| sql( | ||
| s"INSERT INTO $testIcebergTable VALUES (TIMESTAMP '2023-10-03 00:01:00', '400', 'Reject')") | ||
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| sql(s""" | ||
| | CREATE INDEX all ON $testIcebergTable ( | ||
| | time_dt, status_code, action | ||
| | ) | ||
| | WITH ( | ||
| | auto_refresh = true | ||
| | ) | ||
| |""".stripMargin) | ||
| val job = spark.streams.active.find(_.name == testFlintIndex) | ||
| awaitStreamingComplete(job.get.id.toString) | ||
| } | ||
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| test("data expiration") { | ||
| flint.queryIndex(testFlintIndex).count() shouldBe 3 | ||
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| sql(s""" | ||
| | CALL spark_catalog.system.expire_snapshots ( | ||
| | table => 'covering_sql_iceberg_test', | ||
| | older_than => 1718222788758 | ||
| | ) | ||
| | """.stripMargin) | ||
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| val job = spark.streams.active.find(_.name == testFlintIndex) | ||
| awaitStreamingComplete(job.get.id.toString) | ||
| flint.queryIndex(testFlintIndex).count() shouldBe 3 | ||
| } | ||
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| test("data compaction") { | ||
| flint.queryIndex(testFlintIndex).count() shouldBe 3 | ||
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| sql(s""" | ||
| | CALL spark_catalog.system.rewrite_data_files ( | ||
| | table => 'covering_sql_iceberg_test', | ||
| | options => map('rewrite-all', true) | ||
| | ) | ||
| | """.stripMargin) | ||
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| // A new empty micro batch is generated | ||
| val job = spark.streams.active.find(_.name == testFlintIndex) | ||
| awaitStreamingComplete(job.get.id.toString) | ||
| flint.queryIndex(testFlintIndex).count() shouldBe 3 | ||
| } | ||
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| test("schema evolution") { | ||
| flint.queryIndex(testFlintIndex).count() shouldBe 3 | ||
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| sql(s""" | ||
| | ALTER TABLE $testIcebergTable | ||
| | ADD COLUMN severity_id INT | ||
| | """.stripMargin) | ||
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| // No new micro batch after schema changed (no new snapshot) | ||
| val job = spark.streams.active.find(_.name == testFlintIndex) | ||
| awaitStreamingComplete(job.get.id.toString) | ||
| flint.queryIndex(testFlintIndex).count() shouldBe 3 | ||
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| // v4 with new column | ||
| sql( | ||
| s"INSERT INTO $testIcebergTable VALUES (TIMESTAMP '2023-10-04 00:01:00', '304', 'Accept', 3)") | ||
| awaitStreamingComplete(job.get.id.toString) | ||
| flint.queryIndex(testFlintIndex).count() shouldBe 4 | ||
| flint.queryIndex(testFlintIndex).schema.fields.length shouldBe 3 | ||
| } | ||
| } |