jackylk commented on a change in pull request #4148: URL: https://github.com/apache/carbondata/pull/4148#discussion_r670182419
########## File path: integration/spark/src/main/scala/org/apache/spark/sql/execution/command/mutation/merge/MergeHandler.scala ########## @@ -0,0 +1,213 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.spark.sql.execution.command.mutation.merge + +import java.util +import java.util.UUID + +import scala.collection.JavaConverters._ + +import org.apache.hadoop.fs.Path +import org.apache.hadoop.mapreduce.{JobID, TaskAttemptID, TaskID, TaskType} +import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat +import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl +import org.apache.spark.rdd.RDD +import org.apache.spark.sql.{DataFrame, Row, SparkSession} +import org.apache.spark.sql.avro.AvroFileFormatFactory +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.catalyst.expressions.GenericInternalRow +import org.apache.spark.sql.execution.command.{ExecutionErrors, UpdateTableModel} +import org.apache.spark.sql.execution.command.mutation.HorizontalCompaction +import org.apache.spark.sql.functions.col +import org.apache.spark.sql.types.{StringType, StructField} +import org.apache.spark.sql.util.SparkSQLUtil + +import org.apache.carbondata.core.constants.CarbonCommonConstants +import org.apache.carbondata.core.datastore.impl.FileFactory +import org.apache.carbondata.core.index.Segment +import org.apache.carbondata.core.metadata.schema.table.CarbonTable +import org.apache.carbondata.core.mutate.SegmentUpdateDetails +import org.apache.carbondata.processing.loading.FailureCauses +import org.apache.carbondata.spark.util.CarbonSparkUtil + +/** + * This class handles the merge actions of UPSERT, UPDATE, DELETE, INSERT + */ +abstract class MergeHandler(sparkSession: SparkSession, + frame: DataFrame, + targetCarbonTable: CarbonTable, + stats: Stats, + srcDS: DataFrame) { + + protected def performTagging: (RDD[Row], String) = { + val tupleId = frame.queryExecution.analyzed.output.zipWithIndex + .find(_._1.name.equalsIgnoreCase(CarbonCommonConstants.CARBON_IMPLICIT_COLUMN_TUPLEID)).get._2 + val schema = + org.apache.spark.sql.types.StructType(Seq( + StructField(CarbonCommonConstants.CARBON_IMPLICIT_COLUMN_TUPLEID, StringType))) + val job = CarbonSparkUtil.createHadoopJob() + job.setOutputKeyClass(classOf[Void]) + job.setOutputValueClass(classOf[InternalRow]) + val insertedRows = stats.insertedRows + val updatedRows = stats.updatedRows + val uuid = UUID.randomUUID.toString + job.setJobID(new JobID(uuid, 0)) + val path = targetCarbonTable.getTablePath + CarbonCommonConstants.FILE_SEPARATOR + "avro" + FileOutputFormat.setOutputPath(job, new Path(path)) + val factory = AvroFileFormatFactory.getAvroWriter(sparkSession, job, schema) + val config = SparkSQLUtil.broadCastHadoopConf(sparkSession.sparkContext, job.getConfiguration) + frame.queryExecution.toRdd.mapPartitionsWithIndex { case (index, iterator) => + val confB = config.value.value + val task = new TaskID(new JobID(uuid, 0), TaskType.MAP, index) + val attemptID = new TaskAttemptID(task, index) + val context = new TaskAttemptContextImpl(confB, attemptID) + val writer = factory.newInstance(path + CarbonCommonConstants.FILE_SEPARATOR + task.toString, + schema, context) + new Iterator[InternalRow] { + override def hasNext: Boolean = { + if (iterator.hasNext) { + true + } else { + writer.close() + false + } + } + + override def next(): InternalRow = { + val row = iterator.next() + val newArray = new Array[Any](1) + val tupleID = row.getUTF8String(tupleId) + if (tupleID == null) { + insertedRows.add(1) + } else { + newArray(0) = tupleID + writer.write(new GenericInternalRow(newArray)) + updatedRows.add(1) + } + null + } + } + }.count() + val deltaRdd = AvroFileFormatFactory.readAvro(sparkSession, path) + (deltaRdd, path) + } + + protected def triggerAction(factTimestamp: Long, + executorErrors: ExecutionErrors, + deltaRdd: RDD[Row], + deltaPath: String): (util.List[SegmentUpdateDetails], Seq[Segment]) = { + val tuple = MergeUtil.triggerAction(sparkSession, + targetCarbonTable, + factTimestamp, + executorErrors, + deltaRdd) + FileFactory.deleteAllCarbonFilesOfDir(FileFactory.getCarbonFile(deltaPath)) + MergeUtil.updateSegmentStatusAfterUpdateOrDelete(targetCarbonTable, factTimestamp, tuple) + tuple + } + + protected def insertDataToTargetTable(updateTableModel: Option[UpdateTableModel]): Seq[Row] = { + val tableCols = + targetCarbonTable.getCreateOrderColumn.asScala.map(_.getColName). + filterNot(_.equalsIgnoreCase(CarbonCommonConstants.DEFAULT_INVISIBLE_DUMMY_MEASURE)) + val header = tableCols.mkString(",") + val dataFrame = srcDS.select(tableCols.map(col): _*) + MergeUtil.insertDataToTargetTable(sparkSession, + targetCarbonTable, + header, + updateTableModel, + dataFrame) + } + + protected def tryHorizontalCompaction(): Unit = { + // Do IUD Compaction. + HorizontalCompaction.tryHorizontalCompaction( + sparkSession, targetCarbonTable) + } + + def handleMerge() +} + +case class UpdateHandler(sparkSession: SparkSession, Review comment: move param to next line, please follow the coding convention please change all places -- This is an automated message from the Apache Git Service. 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