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Provide hybrid scan setting for consistency requirement #1819
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dai-chen
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opensearch-project:feature/flint
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dai-chen:add-hybrid-scan-mode-rebased
Jul 11, 2023
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126 changes: 126 additions & 0 deletions
126
...src/test/scala/org/opensearch/flint/spark/skipping/FlintSparkSkippingFileIndexSuite.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,126 @@ | ||
| /* | ||
| * Copyright OpenSearch Contributors | ||
| * SPDX-License-Identifier: Apache-2.0 | ||
| */ | ||
|
|
||
| package org.opensearch.flint.spark.skipping | ||
|
|
||
| import org.apache.hadoop.fs.{FileStatus, Path} | ||
| import org.mockito.ArgumentMatchers.any | ||
| import org.mockito.Mockito.when | ||
| import org.opensearch.flint.spark.skipping.FlintSparkSkippingIndex.FILE_PATH_COLUMN | ||
| import org.scalatest.matchers.should.Matchers | ||
| import org.scalatestplus.mockito.MockitoSugar.mock | ||
|
|
||
| import org.apache.spark.FlintSuite | ||
| import org.apache.spark.sql.{Column, DataFrame, Row} | ||
| import org.apache.spark.sql.catalyst.InternalRow | ||
| import org.apache.spark.sql.catalyst.expressions.{Literal, Predicate} | ||
| import org.apache.spark.sql.execution.datasources.{FileIndex, PartitionDirectory} | ||
| import org.apache.spark.sql.functions.col | ||
| import org.apache.spark.sql.types._ | ||
|
|
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| class FlintSparkSkippingFileIndexSuite extends FlintSuite with Matchers { | ||
|
|
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| /** Test source partition data. */ | ||
| private val partition1 = "partition-1" -> Seq("file-1", "file-2") | ||
| private val partition2 = "partition-2" -> Seq("file-3") | ||
|
|
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| /** Test index data schema. */ | ||
| private val schema = Map((FILE_PATH_COLUMN, StringType), ("year", IntegerType)) | ||
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| test("should keep files returned from index") { | ||
| assertFlintFileIndex() | ||
| .withSourceFiles(Map(partition1)) | ||
| .withIndexData(schema, Seq(Row("file-1", 2023), Row("file-2", 2022))) | ||
| .withIndexFilter(col("year") === 2023) | ||
| .shouldScanSourceFiles(Map("partition-1" -> Seq("file-1"))) | ||
| } | ||
|
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| test("should keep files of multiple partitions returned from index") { | ||
| assertFlintFileIndex() | ||
| .withSourceFiles(Map(partition1, partition2)) | ||
| .withIndexData(schema, Seq(Row("file-1", 2023), Row("file-2", 2022), Row("file-3", 2023))) | ||
| .withIndexFilter(col("year") === 2023) | ||
| .shouldScanSourceFiles(Map("partition-1" -> Seq("file-1"), "partition-2" -> Seq("file-3"))) | ||
| } | ||
|
|
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| test("should skip unknown source files by default") { | ||
| assertFlintFileIndex() | ||
| .withSourceFiles(Map(partition1)) | ||
| .withIndexData( | ||
| schema, | ||
| Seq(Row("file-1", 2023)) // file-2 is not refreshed to index yet | ||
| ) | ||
| .withIndexFilter(col("year") === 2023) | ||
| .shouldScanSourceFiles(Map("partition-1" -> Seq("file-1"))) | ||
| } | ||
|
|
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| test("should not skip unknown source files in hybrid-scan mode") { | ||
| withHybridScanEnabled { | ||
| assertFlintFileIndex() | ||
| .withSourceFiles(Map(partition1)) | ||
| .withIndexData( | ||
| schema, | ||
| Seq(Row("file-1", 2023)) // file-2 is not refreshed to index yet | ||
| ) | ||
| .withIndexFilter(col("year") === 2023) | ||
| .shouldScanSourceFiles(Map("partition-1" -> Seq("file-1", "file-2"))) | ||
| } | ||
| } | ||
|
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| test("should not skip unknown source files of multiple partitions in hybrid-scan mode") { | ||
| withHybridScanEnabled { | ||
| assertFlintFileIndex() | ||
| .withSourceFiles(Map(partition1, partition2)) | ||
| .withIndexData( | ||
| schema, | ||
| Seq(Row("file-1", 2023)) // file-2 is not refreshed to index yet | ||
| ) | ||
| .withIndexFilter(col("year") === 2023) | ||
| .shouldScanSourceFiles( | ||
| Map("partition-1" -> Seq("file-1", "file-2"), "partition-2" -> Seq("file-3"))) | ||
| } | ||
| } | ||
|
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| private def assertFlintFileIndex(): AssertionHelper = { | ||
| new AssertionHelper | ||
| } | ||
|
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| private class AssertionHelper { | ||
| private val baseFileIndex = mock[FileIndex] | ||
| private var indexScan: DataFrame = _ | ||
| private var indexFilter: Predicate = _ | ||
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| def withSourceFiles(partitions: Map[String, Seq[String]]): AssertionHelper = { | ||
| when(baseFileIndex.listFiles(any(), any())) | ||
| .thenReturn(mockPartitions(partitions)) | ||
| this | ||
| } | ||
|
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| def withIndexData(columns: Map[String, DataType], data: Seq[Row]): AssertionHelper = { | ||
| val schema = StructType(columns.map { case (colName, colType) => | ||
| StructField(colName, colType, nullable = false) | ||
| }.toSeq) | ||
| indexScan = spark.createDataFrame(spark.sparkContext.parallelize(data), schema) | ||
| this | ||
| } | ||
|
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| def withIndexFilter(pred: Column): AssertionHelper = { | ||
| indexFilter = pred.expr.asInstanceOf[Predicate] | ||
| this | ||
| } | ||
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| def shouldScanSourceFiles(partitions: Map[String, Seq[String]]): Unit = { | ||
| val fileIndex = FlintSparkSkippingFileIndex(baseFileIndex, indexScan, indexFilter) | ||
| fileIndex.listFiles(Seq.empty, Seq.empty) shouldBe mockPartitions(partitions) | ||
| } | ||
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| private def mockPartitions(partitions: Map[String, Seq[String]]): Seq[PartitionDirectory] = { | ||
| partitions.map { case (partitionName, filePaths) => | ||
| val files = filePaths.map(path => new FileStatus(0, false, 0, 0, 0, new Path(path))) | ||
| PartitionDirectory(InternalRow(Literal(partitionName)), files) | ||
| }.toSeq | ||
| } | ||
| } | ||
| } |
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i assume left join is expensive, is there an magic number to avoid left join, which mean scan without index? if it make sense, we can add an issue to track it at perf test stage.
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Sure, will cover this in our benchmark after merged. Thanks!