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[spark] Minor refactor SparkWriter to separate commit (apache#3067)
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142 changes: 142 additions & 0 deletions
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...paimon-spark-common/src/main/scala/org/apache/paimon/spark/commands/BucketProcessor.scala
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| /* | ||
| * 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. | ||
| */ | ||
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| package org.apache.paimon.spark.commands | ||
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| import org.apache.paimon.data.{InternalRow => PaimonInternalRow} | ||
| import org.apache.paimon.index.HashBucketAssigner | ||
| import org.apache.paimon.spark.SparkRow | ||
| import org.apache.paimon.spark.util.EncoderUtils | ||
| import org.apache.paimon.table.FileStoreTable | ||
| import org.apache.paimon.table.sink.RowPartitionKeyExtractor | ||
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| import org.apache.spark.TaskContext | ||
| import org.apache.spark.sql.Row | ||
| import org.apache.spark.sql.catalyst.{InternalRow => SparkInternalRow} | ||
| import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder | ||
| import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.{Deserializer, Serializer} | ||
| import org.apache.spark.sql.types.StructType | ||
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| import java.util.UUID | ||
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| case class EncoderSerDeGroup(schema: StructType) { | ||
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| val encoder: ExpressionEncoder[Row] = EncoderUtils.encode(schema).resolveAndBind() | ||
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| private val serializer: Serializer[Row] = encoder.createSerializer() | ||
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| private val deserializer: Deserializer[Row] = encoder.createDeserializer() | ||
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| def rowToInternal(row: Row): SparkInternalRow = { | ||
| serializer(row) | ||
| } | ||
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| def internalToRow(internalRow: SparkInternalRow): Row = { | ||
| deserializer(internalRow) | ||
| } | ||
| } | ||
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| sealed trait BucketProcessor { | ||
| def processPartition(rowIterator: Iterator[Row]): Iterator[Row] | ||
| } | ||
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| case class CommonBucketProcessor( | ||
| table: FileStoreTable, | ||
| bucketColIndex: Int, | ||
| encoderGroup: EncoderSerDeGroup) | ||
| extends BucketProcessor { | ||
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| def processPartition(rowIterator: Iterator[Row]): Iterator[Row] = { | ||
| val rowType = table.rowType() | ||
| val rowKeyExtractor = table.createRowKeyExtractor() | ||
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| def getBucketId(row: PaimonInternalRow): Int = { | ||
| rowKeyExtractor.setRecord(row) | ||
| rowKeyExtractor.bucket() | ||
| } | ||
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| new Iterator[Row] { | ||
| override def hasNext: Boolean = rowIterator.hasNext | ||
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| override def next(): Row = { | ||
| val row = rowIterator.next | ||
| val sparkInternalRow = encoderGroup.rowToInternal(row) | ||
| sparkInternalRow.setInt(bucketColIndex, getBucketId((new SparkRow(rowType, row)))) | ||
| encoderGroup.internalToRow(sparkInternalRow) | ||
| } | ||
| } | ||
| } | ||
| } | ||
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| case class DynamicBucketProcessor( | ||
| fileStoreTable: FileStoreTable, | ||
| bucketColIndex: Int, | ||
| numSparkPartitions: Int, | ||
| numAssigners: Int, | ||
| encoderGroup: EncoderSerDeGroup | ||
| ) extends BucketProcessor { | ||
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| private val targetBucketRowNumber = fileStoreTable.coreOptions.dynamicBucketTargetRowNum | ||
| private val rowType = fileStoreTable.rowType | ||
| private val commitUser = UUID.randomUUID.toString | ||
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| def processPartition(rowIterator: Iterator[Row]): Iterator[Row] = { | ||
| val rowPartitionKeyExtractor = new RowPartitionKeyExtractor(fileStoreTable.schema) | ||
| val assigner = new HashBucketAssigner( | ||
| fileStoreTable.snapshotManager(), | ||
| commitUser, | ||
| fileStoreTable.store.newIndexFileHandler, | ||
| numSparkPartitions, | ||
| numAssigners, | ||
| TaskContext.getPartitionId(), | ||
| targetBucketRowNumber | ||
| ) | ||
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| new Iterator[Row]() { | ||
| override def hasNext: Boolean = rowIterator.hasNext | ||
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| override def next(): Row = { | ||
| val row = rowIterator.next | ||
| val sparkRow = new SparkRow(rowType, row) | ||
| val hash = rowPartitionKeyExtractor.trimmedPrimaryKey(sparkRow).hashCode | ||
| val partition = rowPartitionKeyExtractor.partition(sparkRow) | ||
| val bucket = assigner.assign(partition, hash) | ||
| val sparkInternalRow = encoderGroup.rowToInternal(row) | ||
| sparkInternalRow.setInt(bucketColIndex, bucket) | ||
| encoderGroup.internalToRow(sparkInternalRow) | ||
| } | ||
| } | ||
| } | ||
| } | ||
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| case class UnawareBucketProcessor(bucketColIndex: Int, encoderGroup: EncoderSerDeGroup) | ||
| extends BucketProcessor { | ||
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| def processPartition(rowIterator: Iterator[Row]): Iterator[Row] = { | ||
| new Iterator[Row] { | ||
| override def hasNext: Boolean = rowIterator.hasNext | ||
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| override def next(): Row = { | ||
| val row = rowIterator.next | ||
| val sparkInternalRow = encoderGroup.rowToInternal(row) | ||
| sparkInternalRow.setInt(bucketColIndex, 0) | ||
| encoderGroup.internalToRow(sparkInternalRow) | ||
| } | ||
| } | ||
| } | ||
| } |
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