spark SparkScriptTransformationExec 源码

spark SparkScriptTransformationExec 代码

文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkScriptTransformationExec.scala

/*
 * 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

import java.io._

import org.apache.hadoop.conf.Configuration

import org.apache.spark.TaskContext
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.types._
import org.apache.spark.util.CircularBuffer

/**
 * Transforms the input by forking and running the specified script.
 *
 * @param script the command that should be executed.
 * @param output the attributes that are produced by the script.
 * @param child logical plan whose output is transformed.
 * @param ioschema the class set that defines how to handle input/output data.
 */
case class SparkScriptTransformationExec(
    script: String,
    output: Seq[Attribute],
    child: SparkPlan,
    ioschema: ScriptTransformationIOSchema)
  extends BaseScriptTransformationExec {

  override def processIterator(
      inputIterator: Iterator[InternalRow],
      hadoopConf: Configuration): Iterator[InternalRow] = {

    val (outputStream, proc, inputStream, stderrBuffer) = initProc

    val outputProjection = new InterpretedProjection(inputExpressionsWithoutSerde, child.output)

    // This new thread will consume the ScriptTransformation's input rows and write them to the
    // external process. That process's output will be read by this current thread.
    val writerThread = SparkScriptTransformationWriterThread(
      inputIterator.map(outputProjection),
      inputExpressionsWithoutSerde.map(_.dataType),
      ioschema,
      outputStream,
      proc,
      stderrBuffer,
      TaskContext.get(),
      hadoopConf
    )

    val outputIterator =
      createOutputIteratorWithoutSerde(writerThread, inputStream, proc, stderrBuffer)

    writerThread.start()

    outputIterator
  }

  override protected def withNewChildInternal(newChild: SparkPlan): SparkScriptTransformationExec =
    copy(child = newChild)
}

case class SparkScriptTransformationWriterThread(
    iter: Iterator[InternalRow],
    inputSchema: Seq[DataType],
    ioSchema: ScriptTransformationIOSchema,
    outputStream: OutputStream,
    proc: Process,
    stderrBuffer: CircularBuffer,
    taskContext: TaskContext,
    conf: Configuration)
  extends BaseScriptTransformationWriterThread {

  override def processRows(): Unit = {
    processRowsWithoutSerde()
  }
}

相关信息

spark 源码目录

相关文章

spark AggregatingAccumulator 源码

spark AliasAwareOutputExpression 源码

spark BaseScriptTransformationExec 源码

spark CacheManager 源码

spark CoGroupedIterator 源码

spark CollectMetricsExec 源码

spark Columnar 源码

spark CommandResultExec 源码

spark DataSourceScanExec 源码

spark ExistingRDD 源码