Generate doc ID in build index job for idempotency

flint/build.sbt

@@ -50,7 +50,8 @@ lazy val flintCore = (project in file("flint-core"))
     scalaVersion := scala212,
     libraryDependencies ++= Seq(
       "org.opensearch.client" % "opensearch-rest-client" % opensearchVersion,
-      "org.opensearch.client" % "opensearch-rest-high-level-client" % opensearchVersion,
+      "org.opensearch.client" % "opensearch-rest-high-level-client" % opensearchVersion
+        exclude("org.apache.logging.log4j", "log4j-api"),
       "com.amazonaws" % "aws-java-sdk" % "1.12.397" % "provided"
         exclude("com.fasterxml.jackson.core", "jackson-databind") ))
 

flint/flint-spark-integration/src/main/scala/org/opensearch/flint/spark/FlintSpark.scala

@@ -5,13 +5,16 @@
 
 package org.opensearch.flint.spark
 
+import scala.collection.JavaConverters._
+
 import org.json4s.{Formats, JArray, NoTypeHints}
 import org.json4s.native.JsonMethods.parse
 import org.json4s.native.Serialization
 import org.opensearch.flint.core.{FlintClient, FlintClientBuilder}
 import org.opensearch.flint.core.metadata.FlintMetadata
 import org.opensearch.flint.spark.FlintSpark._
 import org.opensearch.flint.spark.FlintSpark.RefreshMode.{FULL, INCREMENTAL, RefreshMode}
+import org.opensearch.flint.spark.FlintSparkIndex.ID_COLUMN
 import org.opensearch.flint.spark.skipping.{FlintSparkSkippingIndex, FlintSparkSkippingStrategy}
 import org.opensearch.flint.spark.skipping.FlintSparkSkippingIndex.SKIPPING_INDEX_TYPE
 import org.opensearch.flint.spark.skipping.FlintSparkSkippingStrategy.{SkippingKind, SkippingKindSerializer}
@@ -25,15 +28,24 @@ import org.apache.spark.sql.SaveMode._
 import org.apache.spark.sql.catalog.Column
 import org.apache.spark.sql.flint.FlintDataSourceV2.FLINT_DATASOURCE
 import org.apache.spark.sql.flint.config.FlintSparkConf
+import org.apache.spark.sql.flint.config.FlintSparkConf.{DOC_ID_COLUMN_NAME, IGNORE_DOC_ID_COLUMN}
 import org.apache.spark.sql.streaming.OutputMode.Append
 
 /**
  * Flint Spark integration API entrypoint.
  */
 class FlintSpark(val spark: SparkSession) {
 
+  /** Flint spark configuration */
+  private val flintSparkConf: FlintSparkConf =
+    FlintSparkConf(
+      Map(
+        DOC_ID_COLUMN_NAME.key -> ID_COLUMN,
+        IGNORE_DOC_ID_COLUMN.key -> "true"
+      ).asJava)
+
   /** Flint client for low-level index operation */
-  private val flintClient: FlintClient = FlintClientBuilder.build(FlintSparkConf().flintOptions())
+  private val flintClient: FlintClient = FlintClientBuilder.build(flintSparkConf.flintOptions())
 
   /** Required by json4s parse function */
   implicit val formats: Formats = Serialization.formats(NoTypeHints) + SkippingKindSerializer
@@ -254,8 +266,7 @@ object FlintSpark {
       require(tableName.nonEmpty, "table name cannot be empty")
 
       val col = findColumn(colName)
-      addIndexedColumn(
-        ValueSetSkippingStrategy(columnName = col.name, columnType = col.dataType))
+      addIndexedColumn(ValueSetSkippingStrategy(columnName = col.name, columnType = col.dataType))
       this
     }
 
@@ -269,9 +280,8 @@ object FlintSpark {
      */
     def addMinMax(colName: String): IndexBuilder = {
       val col = findColumn(colName)
-      indexedColumns = indexedColumns :+ MinMaxSkippingStrategy(
-        columnName = col.name,
-        columnType = col.dataType)
+      indexedColumns =
+        indexedColumns :+ MinMaxSkippingStrategy(columnName = col.name, columnType = col.dataType)
       this
     }
 

flint/flint-spark-integration/src/main/scala/org/opensearch/flint/spark/FlintSparkIndex.scala

@@ -42,3 +42,11 @@ trait FlintSparkIndex {
    */
   def build(df: DataFrame): DataFrame
 }
+
+object FlintSparkIndex {
+
+  /**
+   * ID column name.
+   */
+  val ID_COLUMN: String = "__id__"
+}

flint/flint-spark-integration/src/main/scala/org/opensearch/flint/spark/skipping/FlintSparkSkippingIndex.scala

@@ -10,13 +10,14 @@ import org.json4s.native.JsonMethods._
 import org.json4s.native.Serialization
 import org.opensearch.flint.core.metadata.FlintMetadata
 import org.opensearch.flint.spark.FlintSparkIndex
+import org.opensearch.flint.spark.FlintSparkIndex.ID_COLUMN
 import org.opensearch.flint.spark.skipping.FlintSparkSkippingIndex.{getSkippingIndexName, FILE_PATH_COLUMN, SKIPPING_INDEX_TYPE}
 import org.opensearch.flint.spark.skipping.FlintSparkSkippingStrategy.SkippingKindSerializer
 
 import org.apache.spark.sql.{Column, DataFrame}
 import org.apache.spark.sql.catalyst.dsl.expressions.DslExpression
 import org.apache.spark.sql.flint.datatype.FlintDataType
-import org.apache.spark.sql.functions.input_file_name
+import org.apache.spark.sql.functions.{col, input_file_name, sha1}
 import org.apache.spark.sql.types.{DataType, StringType, StructField, StructType}
 
 /**
@@ -30,6 +31,8 @@ class FlintSparkSkippingIndex(
     val indexedColumns: Seq[FlintSparkSkippingStrategy])
     extends FlintSparkIndex {
 
+  require(indexedColumns.nonEmpty, "indexed columns must not be empty")
+
   /** Required by json4s write function */
   implicit val formats: Formats = Serialization.formats(NoTypeHints) + SkippingKindSerializer
 
@@ -64,6 +67,7 @@ class FlintSparkSkippingIndex(
 
     df.groupBy(input_file_name().as(FILE_PATH_COLUMN))
       .agg(namedAggFuncs.head, namedAggFuncs.tail: _*)
+      .withColumn(ID_COLUMN, sha1(col(FILE_PATH_COLUMN)))
   }
 
   private def getMetaInfo: String = {

flint/flint-spark-integration/src/test/scala/org/opensearch/flint/spark/skipping/FlintSparkSkippingIndexSuite.scala

@@ -0,0 +1,42 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.flint.spark.skipping
+
+import org.mockito.Mockito.when
+import org.opensearch.flint.spark.FlintSparkIndex.ID_COLUMN
+import org.opensearch.flint.spark.skipping.FlintSparkSkippingIndex.FILE_PATH_COLUMN
+import org.scalatest.matchers.must.Matchers.contain
+import org.scalatest.matchers.should.Matchers.convertToAnyShouldWrapper
+import org.scalatestplus.mockito.MockitoSugar.mock
+
+import org.apache.spark.FlintSuite
+import org.apache.spark.sql.catalyst.expressions.aggregate.CollectSet
+import org.apache.spark.sql.functions.col
+
+class FlintSparkSkippingIndexSuite extends FlintSuite {
+
+  test("get skipping index name") {
+    val index = new FlintSparkSkippingIndex("test", Seq(mock[FlintSparkSkippingStrategy]))
+    index.name() shouldBe "flint_test_skipping_index"
+  }
+
+  test("can build index building job with unique ID column") {
+    val indexCol = mock[FlintSparkSkippingStrategy]
+    when(indexCol.outputSchema()).thenReturn(Map("name" -> "string"))
+    when(indexCol.getAggregators).thenReturn(Seq(CollectSet(col("name").expr)))
+    val index = new FlintSparkSkippingIndex("test", Seq(indexCol))
+
+    val df = spark.createDataFrame(Seq(("hello", 20))).toDF("name", "age")
+    val indexDf = index.build(df)
+    indexDf.schema.fieldNames should contain only ("name", FILE_PATH_COLUMN, ID_COLUMN)
+  }
+
+  test("should fail if no indexed column given") {
+    assertThrows[IllegalArgumentException] {
+      new FlintSparkSkippingIndex("test", Seq.empty)
+    }
+  }
+}

flint/integ-test/src/test/scala/org/opensearch/flint/spark/FlintSparkSkippingIndexSuite.scala → flint/integ-test/src/test/scala/org/opensearch/flint/spark/FlintSparkSkippingIndexITSuite.scala

@@ -26,7 +26,7 @@ import org.apache.spark.sql.flint.config.FlintSparkConf._
 import org.apache.spark.sql.functions.col
 import org.apache.spark.sql.streaming.StreamTest
 
-class FlintSparkSkippingIndexSuite
+class FlintSparkSkippingIndexITSuite
     extends QueryTest
     with FlintSuite
     with OpenSearchSuite
@@ -205,12 +205,14 @@ class FlintSparkSkippingIndexSuite
     flint
       .skippingIndex()
       .onTable(testTable)
+      .addPartitions("year")
       .create()
 
     assertThrows[IllegalStateException] {
       flint
         .skippingIndex()
         .onTable(testTable)
+        .addPartitions("year")
         .create()
     }
   }