[HUDI-3047] Basic Implementation of Spark Datasource V2 #4350

leesf · 2021-12-31T06:47:25Z

@xushiyan I find it very hard to make it compatible between spark 3.2.0 and spark 3.0.x/spark3.1.x(there is no V1Write for spark 3.0.x and 3.1.x ) after we upgrade spark version to spark 3.2.0, so I commented out the workflow.

@leesf We introduce build profiles spark3.0.x and spark3.1.x mostly due to spark's own incompatibilities. Here I think we can make some rules: to enable v2 writer, users have to make sure they're on spark 3.2+. Sounds good? In future, we may gradually drop support for old spark versions if the old spark code deviates too far from the latest one.

sounds good.

boneanxs · 2022-01-10T03:51:42Z

Is there any difference with hoodieSqlCommonUtils.isHoodieTable? I see sometimes we use adapter.isHoodieTable, sometimes use hoodieSqlCommonUtils.isHoodieTable

Is there any difference with hoodieSqlCommonUtils.isHoodieTable? I see sometimes we use adapter.isHoodieTable, sometimes use hoodieSqlCommonUtils.isHoodieTable

in fact hoodieSqlCommonUtils.isHoodieTable method is used in v1 codebase to judge if a table is a hoodie table in v1 codebase , but adapter.isHoodieTable method is to judge if a table is a hoodie table in v2 codebase, change the name would be better to understand.

Thanks for your reply, and please correct me if I'm wrong. Can we just move the method implementation out from SparkAdapter to Spark2Adapter, Spark2Adapter can judge if a table is a hoodie table in v1 codebase, while Spark3Adapter can judge it by v2 codebase, by this, I think the method hoodieSqlCommonUtils.isHoodieTable can be simply removed?

Looking forward this PR can be merged as soon as possible, this is an excellent work as we can support many other features with DSV2 based on this. :)

vinothchandar · 2022-01-06T05:47:32Z

this would cause every job out there to be upgraded? Not sure if we can afford to do this. Also would like to clearly understand if the new v2 implementation will support ALL the existing functionality or be a drop-in replacement for the current v1 implementation?

I think its crucial to get aligned on this before we proceed further.

-Original file line number
+Diff line change
@@ Expand Up / @@ -18,16 +18,22 @@ jobs: @@
             include:
               - scala: "scala-2.11"
                 spark: "spark2"
+                skipModules: ""
               - scala: "scala-2.11"
                 spark: "spark2,spark-shade-unbundle-avro"
+                skipModules: ""
               - scala: "scala-2.12"
                 spark: "spark3,spark3.0.x"
+                skipModules: "!hudi-spark-datasource/hudi-spark3"
               - scala: "scala-2.12"
                 spark: "spark3,spark3.0.x,spark-shade-unbundle-avro"
+                skipModules: "!hudi-spark-datasource/hudi-spark3"
               - scala: "scala-2.12"
                 spark: "spark3,spark3.1.x"
+                skipModules: "!hudi-spark-datasource/hudi-spark3"
               - scala: "scala-2.12"
                 spark: "spark3,spark3.1.x,spark-shade-unbundle-avro"
+                skipModules: "!hudi-spark-datasource/hudi-spark3"
               - scala: "scala-2.12"
                 spark: "spark3"
               - scala: "scala-2.12"
@@ Expand All / @@ -44,4 +50,5 @@ jobs: @@
             env:
               SCALA_PROFILE: ${{ matrix.scala }}
               SPARK_PROFILE: ${{ matrix.spark }}
-            run: mvn install -P "$SCALA_PROFILE,$SPARK_PROFILE" -DskipTests=true -Dmaven.javadoc.skip=true -B -V
+              SKIP_MODULES: ${{ matrix.skipModules }}
+            run: mvn install -P "$SCALA_PROFILE,$SPARK_PROFILE" -pl "$SKIP_MODULES" -DskipTests=true -Dmaven.javadoc.skip=true -B -V

-Original file line number
+Diff line change
@@ Expand Up / @@ -20,16 +20,19 @@ package org.apache.spark.sql.hudi @@
     import org.apache.hudi.client.utils.SparkRowSerDe
     import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
+    import org.apache.spark.sql.catalyst.catalog.CatalogTable
     import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
     import org.apache.spark.sql.catalyst.expressions.Expression
     import org.apache.spark.sql.catalyst.parser.ParserInterface
     import org.apache.spark.sql.catalyst.plans.JoinType
-    import org.apache.spark.sql.catalyst.plans.logical.{Join, LogicalPlan}
+    import org.apache.spark.sql.catalyst.plans.logical.{Join, LogicalPlan, SubqueryAlias}
     import org.apache.spark.sql.catalyst.{AliasIdentifier, TableIdentifier}
-    import org.apache.spark.sql.execution.datasources.SparkParsePartitionUtil
+    import org.apache.spark.sql.execution.datasources.{LogicalRelation, SparkParsePartitionUtil}
     import org.apache.spark.sql.internal.SQLConf
     import org.apache.spark.sql.{Row, SparkSession}
+    import java.util.Locale
     /**
      * An interface to adapter the difference between spark2 and spark3
      * in some spark related class.
@@ Expand All / @@ -44,12 +47,12 @@ trait SparkAdapter extends Serializable { @@
       /**
        * Convert a AliasIdentifier to TableIdentifier.
        */
-      def toTableIdentify(aliasId: AliasIdentifier): TableIdentifier
+      def toTableIdentifier(aliasId: AliasIdentifier): TableIdentifier
       /**
        * Convert a UnresolvedRelation to TableIdentifier.
        */
-      def toTableIdentify(relation: UnresolvedRelation): TableIdentifier
+      def toTableIdentifier(relation: UnresolvedRelation): TableIdentifier
       /**
        * Create Join logical plan.
@@ Expand Down Expand Up / @@ -92,4 +95,31 @@ trait SparkAdapter extends Serializable { @@
        * ParserInterface#parseMultipartIdentifier is supported since spark3, for spark2 this should not be called.
        */
       def parseMultipartIdentifier(parser: ParserInterface, sqlText: String): Seq[String]
+      def isHoodieTable(table: LogicalPlan, spark: SparkSession): Boolean = {
+        tripAlias(table) match {
+          case LogicalRelation(_, _, Some(tbl), _) => isHoodieTable(tbl)
+          case relation: UnresolvedRelation =>
+            isHoodieTable(toTableIdentifier(relation), spark)
+          case _=> false
+        }
+      }
+      def tripAlias(plan: LogicalPlan): LogicalPlan = {
+        plan match {
+          case SubqueryAlias(_, relation: LogicalPlan) =>
+            tripAlias(relation)
+          case other =>
+            other
+        }
+      }
+      def isHoodieTable(table: CatalogTable): Boolean = {
+        table.provider.map(_.toLowerCase(Locale.ROOT)).orNull == "hudi"
+      }
+      def isHoodieTable(tableId: TableIdentifier, spark: SparkSession): Boolean = {
+        val table = spark.sessionState.catalog.getTableMetadata(tableId)
+        isHoodieTable(table)
+      }
     }

-Original file line number
+Diff line change
@@ Expand Up / @@ -170,9 +170,51 @@ @@
           <version>${project.version}</version>
         </dependency>
+        <!-- Spark -->
+        <dependency>
+          <groupId>org.apache.spark</groupId>
+          <artifactId>spark-core_${scala.binary.version}</artifactId>
+          <exclusions>
+            <exclusion>
+              <groupId>javax.servlet</groupId>
+              <artifactId>*</artifactId>
+            </exclusion>
+          </exclusions>
+        </dependency>
+        <dependency>
+          <groupId>org.apache.spark</groupId>
+          <artifactId>spark-sql_${scala.binary.version}</artifactId>
+        </dependency>
+        <dependency>
+          <groupId>org.apache.spark</groupId>
+          <artifactId>spark-hive_${scala.binary.version}</artifactId>
+        </dependency>
         <dependency>
           <groupId>org.apache.spark</groupId>
           <artifactId>spark-sql_${scala.binary.version}</artifactId>
+          <classifier>tests</classifier>
+          <scope>test</scope>
+        </dependency>
+        <dependency>
+          <groupId>org.apache.spark</groupId>
+          <artifactId>spark-core_${scala.binary.version}</artifactId>
+          <classifier>tests</classifier>
+          <scope>test</scope>
+        </dependency>
+        <dependency>
+          <groupId>org.apache.spark</groupId>
+          <artifactId>spark-catalyst_${scala.binary.version}</artifactId>
+          <classifier>tests</classifier>
+          <scope>test</scope>
+        </dependency>
+        <!-- Spark (Packages) -->
+        <dependency>
+          <groupId>org.apache.spark</groupId>
+          <artifactId>spark-avro_${scala.binary.version}</artifactId>
+          <scope>provided</scope>
         </dependency>
         <!-- Hoodie - Test -->
@@ Expand Down @@

-Original file line number
+Diff line change
@@ Expand Up / @@ -177,7 +177,7 @@ class DefaultSource extends RelationProvider @@
           outputMode)
       }
-      override def shortName(): String = "hudi"
+      override def shortName(): String = "hudi_v1"
       private def getBaseFileOnlyView(useHoodieFileIndex: Boolean,
                                       sqlContext: SQLContext,
@@ Expand Down @@

-Original file line number
+Diff line change
@@ Expand Up / @@ -18,13 +18,13 @@ @@
     package org.apache.hudi
-    import org.apache.spark.{Partition, TaskContext}
     import org.apache.spark.rdd.RDD
     import org.apache.spark.sql.SparkSession
     import org.apache.spark.sql.catalyst.InternalRow
     import org.apache.spark.sql.execution.datasources.PartitionedFile
     import org.apache.spark.sql.types.StructType
     import org.apache.spark.sql.vectorized.ColumnarBatch
+    import org.apache.spark.{Partition, TaskContext}
     class HoodieBootstrapRDD(@transient spark: SparkSession,
                             dataReadFunction: PartitionedFile => Iterator[Any],
@@ Expand Down @@

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leesf Dec 31, 2021 •

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xushiyan Jan 2, 2022

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-Original file line number
+Diff line change
@@ Expand Up / @@ -50,7 +50,7 @@ import scala.collection.JavaConverters._ @@
       *                   else read data from tablePath using HoodiFileIndex.
       * @param metaClient Hoodie table meta client
       * @param optParams DataSource options passed by the user
-      */
+     */
     class HoodieBootstrapRelation(@transient val _sqlContext: SQLContext,
                                   val userSchema: StructType,
                                   val globPaths: Option[Seq[Path]],
@@ Expand Down Expand Up @@
               filters = if (requiredSkeletonSchema.isEmpty) filters else Seq() ,
               options = Map.empty,
               hadoopConf = _sqlContext.sparkSession.sessionState.newHadoopConf()
-            )
+          )
         val skeletonReadFunction = new ParquetFileFormat()
           .buildReaderWithPartitionValues(
@@ Expand Down @@

-Original file line number
+Diff line change
@@ Expand Up @@
     import org.apache.spark.sql.catalyst.{InternalRow, expressions}
     import org.apache.spark.sql.execution.datasources.{FileIndex, FileStatusCache, NoopCache, PartitionDirectory}
     import org.apache.spark.sql.hudi.DataSkippingUtils.createColumnStatsIndexFilterExpr
-    import org.apache.spark.sql.hudi.HoodieSqlUtils
+    import org.apache.spark.sql.hudi.HoodieSqlCommonUtils
     import org.apache.spark.sql.internal.SQLConf
     import org.apache.spark.sql.types.{StringType, StructField, StructType}
     import org.apache.spark.sql.{AnalysisException, Column, SparkSession}
@@ Expand Down Expand Up / @@ -87,11 +87,11 @@ case class HoodieFileIndex( @@
       private val tableType = metaClient.getTableType
       private val specifiedQueryInstant = options.get(DataSourceReadOptions.TIME_TRAVEL_AS_OF_INSTANT.key)
-        .map(HoodieSqlUtils.formatQueryInstant)
+        .map(HoodieSqlCommonUtils.formatQueryInstant)
       /**
         * Get all completeCommits.
-        */
+       */
       lazy val completedCommits = metaClient.getCommitsTimeline
         .filterCompletedInstants().getInstants.iterator().toList.map(_.getTimestamp)
@@ Expand Down Expand Up / @@ -403,7 +403,7 @@ case class HoodieFileIndex( @@
             cachedAllInputFileSlices = partitionFiles.map(p => {
               val latestSlices = if (latestInstant.isPresent) {
                 fileSystemView.getLatestMergedFileSlicesBeforeOrOn(p._1.partitionPath, queryInstant.get)
-                 .iterator().asScala.toSeq
+                  .iterator().asScala.toSeq
               } else {
                 Seq()
               }
@@ Expand Down @@

-Original file line number
+Diff line change
@@ Expand Up / @@ -119,7 +119,7 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext, @@
       }
       private def logFileIterator(split: HoodieMergeOnReadFileSplit,
-                                 config: Configuration): Iterator[InternalRow] =
+                                  config: Configuration): Iterator[InternalRow] =
         new Iterator[InternalRow] with Closeable {
           private val tableAvroSchema = new Schema.Parser().parse(tableState.tableAvroSchema)
           private val requiredAvroSchema = new Schema.Parser().parse(tableState.requiredAvroSchema)
@@ Expand Down Expand Up / @@ -168,8 +168,8 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext, @@
         }
       private def skipMergeFileIterator(split: HoodieMergeOnReadFileSplit,
-                                      baseFileIterator: Iterator[InternalRow],
-                                      config: Configuration): Iterator[InternalRow] =
+                                        baseFileIterator: Iterator[InternalRow],
+                                        config: Configuration): Iterator[InternalRow] =
         new Iterator[InternalRow] with Closeable {
           private val tableAvroSchema = new Schema.Parser().parse(tableState.tableAvroSchema)
           private val requiredAvroSchema = new Schema.Parser().parse(tableState.requiredAvroSchema)
@@ Expand Down Expand Up / @@ -225,8 +225,8 @@ class HoodieMergeOnReadRDD(@transient sc: SparkContext, @@
         }
       private def payloadCombineFileIterator(split: HoodieMergeOnReadFileSplit,
-                                    baseFileIterator: Iterator[InternalRow],
-                                    config: Configuration): Iterator[InternalRow] =
+                                             baseFileIterator: Iterator[InternalRow],
+                                             config: Configuration): Iterator[InternalRow] =
         new Iterator[InternalRow] with Closeable {
           private val tableAvroSchema = new Schema.Parser().parse(tableState.tableAvroSchema)
           private val requiredAvroSchema = new Schema.Parser().parse(tableState.requiredAvroSchema)
@@ Expand Down Expand Up / @@ -350,23 +350,23 @@ private object HoodieMergeOnReadRDD { @@
       def scanLog(split: HoodieMergeOnReadFileSplit, logSchema: Schema, config: Configuration): HoodieMergedLogRecordScanner = {
         val fs = FSUtils.getFs(split.tablePath, config)
         HoodieMergedLogRecordScanner.newBuilder()
-            .withFileSystem(fs)
-            .withBasePath(split.tablePath)
-            .withLogFilePaths(split.logPaths.get.asJava)
-            .withReaderSchema(logSchema)
-            .withLatestInstantTime(split.latestCommit)
-            .withReadBlocksLazily(
-              Try(config.get(HoodieRealtimeConfig.COMPACTION_LAZY_BLOCK_READ_ENABLED_PROP,
-                HoodieRealtimeConfig.DEFAULT_COMPACTION_LAZY_BLOCK_READ_ENABLED).toBoolean)
-                  .getOrElse(false))
-            .withReverseReader(false)
-            .withBufferSize(
-              config.getInt(HoodieRealtimeConfig.MAX_DFS_STREAM_BUFFER_SIZE_PROP,
-                HoodieRealtimeConfig.DEFAULT_MAX_DFS_STREAM_BUFFER_SIZE))
-            .withMaxMemorySizeInBytes(split.maxCompactionMemoryInBytes)
-            .withSpillableMapBasePath(
-              config.get(HoodieRealtimeConfig.SPILLABLE_MAP_BASE_PATH_PROP,
-                HoodieRealtimeConfig.DEFAULT_SPILLABLE_MAP_BASE_PATH))
-            .build()
+          .withFileSystem(fs)
+          .withBasePath(split.tablePath)
+          .withLogFilePaths(split.logPaths.get.asJava)
+          .withReaderSchema(logSchema)
+          .withLatestInstantTime(split.latestCommit)
+          .withReadBlocksLazily(
+            Try(config.get(HoodieRealtimeConfig.COMPACTION_LAZY_BLOCK_READ_ENABLED_PROP,
+              HoodieRealtimeConfig.DEFAULT_COMPACTION_LAZY_BLOCK_READ_ENABLED).toBoolean)
+              .getOrElse(false))
+          .withReverseReader(false)
+          .withBufferSize(
+            config.getInt(HoodieRealtimeConfig.MAX_DFS_STREAM_BUFFER_SIZE_PROP,
+              HoodieRealtimeConfig.DEFAULT_MAX_DFS_STREAM_BUFFER_SIZE))
+          .withMaxMemorySizeInBytes(split.maxCompactionMemoryInBytes)
+          .withSpillableMapBasePath(
+            config.get(HoodieRealtimeConfig.SPILLABLE_MAP_BASE_PATH_PROP,
+              HoodieRealtimeConfig.DEFAULT_SPILLABLE_MAP_BASE_PATH))
+          .build()
       }
     }

-Original file line number
+Diff line change
@@ Expand Up / @@ -177,7 +177,7 @@ object HoodieSparkSqlWriter { @@
                 val client = hoodieWriteClient.getOrElse(DataSourceUtils.createHoodieClient(jsc,
                   null, path, tblName,
                   mapAsJavaMap(parameters - HoodieWriteConfig.AUTO_COMMIT_ENABLE.key)))
-                .asInstanceOf[SparkRDDWriteClient[HoodieRecordPayload[Nothing]]]
+                  .asInstanceOf[SparkRDDWriteClient[HoodieRecordPayload[Nothing]]]
                 if (isAsyncCompactionEnabled(client, tableConfig, parameters, jsc.hadoopConfiguration())) {
                   asyncCompactionTriggerFn.get.apply(client)
@@ Expand Down Expand Up / @@ -487,9 +487,9 @@ object HoodieSparkSqlWriter { @@
         val syncHiveSuccess =
           if (hiveSyncEnabled || metaSyncEnabled) {
             metaSync(sqlContext.sparkSession, hoodieConfig, basePath, df.schema)
-        } else {
-          true
-        }
+          } else {
+            true
+          }
         (syncHiveSuccess, common.util.Option.ofNullable(instantTime))
       }
@@ Expand Down Expand Up / @@ -619,7 +619,7 @@ object HoodieSparkSqlWriter { @@
                                                  tableConfig: HoodieTableConfig,
                                                  jsc: JavaSparkContext,
                                                  tableInstantInfo: TableInstantInfo
-                                                 ): (Boolean, common.util.Option[java.lang.String], common.util.Option[java.lang.String]) = {
+                                                ): (Boolean, common.util.Option[java.lang.String], common.util.Option[java.lang.String]) = {
         if(writeResult.getWriteStatuses.rdd.filter(ws => ws.hasErrors).isEmpty()) {
           log.info("Proceeding to commit the write.")
           val metaMap = parameters.filter(kv =>
@@ Expand Down Expand Up / @@ -715,7 +715,7 @@ object HoodieSparkSqlWriter { @@
       }
       private def mergeParamsAndGetHoodieConfig(optParams: Map[String, String],
-          tableConfig: HoodieTableConfig): (Map[String, String], HoodieConfig) = {
+                                                tableConfig: HoodieTableConfig): (Map[String, String], HoodieConfig) = {
         val translatedOptions = DataSourceWriteOptions.translateSqlOptions(optParams)
         val mergedParams = mutable.Map.empty ++ HoodieWriterUtils.parametersWithWriteDefaults(translatedOptions)
         if (!mergedParams.contains(HoodieTableConfig.KEY_GENERATOR_CLASS_NAME.key)
@@ Expand Down @@

-Original file line number
+Diff line change
@@ Expand Up / @@ -129,9 +129,9 @@ class HoodieStreamingSink(sqlContext: SQLContext, @@
             case Success((false, commitOps, compactionInstantOps, clusteringInstant, client, tableConfig)) =>
               log.error(s"Micro batch id=$batchId ended up with errors"
                 + (commitOps.isPresent match {
-                  case true =>  s" for commit=${commitOps.get()}"
-                  case _ => s""
-                }))
+                case true =>  s" for commit=${commitOps.get()}"
+                case _ => s""
+              }))
               if (ignoreFailedBatch) {
                 log.info(s"Ignore the errors and move on streaming as per " +
                   s"${DataSourceWriteOptions.STREAMING_IGNORE_FAILED_BATCH.key} configuration")
@@ Expand Down @@

-Original file line number
+Diff line change
@@ Expand Up / @@ -45,7 +45,7 @@ object HoodieWriterUtils { @@
         *
         * @param parameters
         * @return
-        */
+       */
       def parametersWithWriteDefaults(parameters: Map[String, String]): Map[String, String] = {
         val globalProps = DFSPropertiesConfiguration.getGlobalProps.asScala
         val props = new Properties()
@@ Expand Down Expand Up / @@ -123,7 +123,7 @@ object HoodieWriterUtils { @@
        * Detects conflicts between new parameters and existing table configurations
        */
       def validateTableConfig(spark: SparkSession, params: Map[String, String],
-          tableConfig: HoodieConfig): Unit = {
+                              tableConfig: HoodieConfig): Unit = {
         val resolver = spark.sessionState.conf.resolver
         val diffConfigs = StringBuilder.newBuilder
         params.foreach { case (key, value) =>
@@ Expand All / @@ -137,21 +137,21 @@ object HoodieWriterUtils { @@
           val datasourceRecordKey = params.getOrElse(RECORDKEY_FIELD.key(), null)
           val tableConfigRecordKey = tableConfig.getString(HoodieTableConfig.RECORDKEY_FIELDS)
           if (null != datasourceRecordKey && null != tableConfigRecordKey
-              && datasourceRecordKey != tableConfigRecordKey) {
+            && datasourceRecordKey != tableConfigRecordKey) {
             diffConfigs.append(s"RecordKey:\t$datasourceRecordKey\t$tableConfigRecordKey\n")
           }
           val datasourcePreCombineKey = params.getOrElse(PRECOMBINE_FIELD.key(), null)
           val tableConfigPreCombineKey = tableConfig.getString(HoodieTableConfig.PRECOMBINE_FIELD)
           if (null != datasourcePreCombineKey && null != tableConfigPreCombineKey
-              && datasourcePreCombineKey != tableConfigPreCombineKey) {
+            && datasourcePreCombineKey != tableConfigPreCombineKey) {
             diffConfigs.append(s"PreCombineKey:\t$datasourcePreCombineKey\t$tableConfigPreCombineKey\n")
           }
           val datasourceKeyGen = getOriginKeyGenerator(params)
           val tableConfigKeyGen = tableConfig.getString(HoodieTableConfig.KEY_GENERATOR_CLASS_NAME)
           if (null != datasourceKeyGen && null != tableConfigKeyGen
-              && datasourceKeyGen != tableConfigKeyGen) {
+            && datasourceKeyGen != tableConfigKeyGen) {
             diffConfigs.append(s"KeyGenerator:\t$datasourceKeyGen\t$tableConfigKeyGen\n")
           }
         }
@@ Expand Down @@

[HUDI-3047] Basic Implementation of Spark Datasource V2 #4350

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