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[SPARK-32106][SQL]Implement SparkScriptTransformationExec in sql/core
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sql/core/src/main/scala/org/apache/spark/sql/execution/SparkScriptTransformationExec.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.spark.sql.execution | ||
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import java.io._ | ||
import java.nio.charset.StandardCharsets | ||
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import scala.collection.JavaConverters._ | ||
import scala.util.control.NonFatal | ||
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import org.apache.hadoop.conf.Configuration | ||
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import org.apache.spark.TaskContext | ||
import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow} | ||
import org.apache.spark.sql.catalyst.expressions._ | ||
import org.apache.spark.sql.catalyst.plans.logical.ScriptInputOutputSchema | ||
import org.apache.spark.sql.types.DataType | ||
import org.apache.spark.util.{CircularBuffer, RedirectThread} | ||
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/** | ||
* Transforms the input by forking and running the specified script. | ||
* | ||
* @param input the set of expression that should be passed to the script. | ||
* @param script the command that should be executed. | ||
* @param output the attributes that are produced by the script. | ||
*/ | ||
case class SparkScriptTransformationExec( | ||
input: Seq[Expression], | ||
script: String, | ||
output: Seq[Attribute], | ||
child: SparkPlan, | ||
ioschema: SparkScriptIOSchema) | ||
extends BaseScriptTransformationExec { | ||
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override def processIterator(inputIterator: Iterator[InternalRow], hadoopConf: Configuration) | ||
: Iterator[InternalRow] = { | ||
val cmd = List("/bin/bash", "-c", script) | ||
val builder = new ProcessBuilder(cmd.asJava) | ||
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val proc = builder.start() | ||
val inputStream = proc.getInputStream | ||
val outputStream = proc.getOutputStream | ||
val errorStream = proc.getErrorStream | ||
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// In order to avoid deadlocks, we need to consume the error output of the child process. | ||
// To avoid issues caused by large error output, we use a circular buffer to limit the amount | ||
// of error output that we retain. See SPARK-7862 for more discussion of the deadlock / hang | ||
// that motivates this. | ||
val stderrBuffer = new CircularBuffer(2048) | ||
new RedirectThread( | ||
errorStream, | ||
stderrBuffer, | ||
"Thread-ScriptTransformation-STDERR-Consumer").start() | ||
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val outputProjection = new InterpretedProjection(input, child.output) | ||
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// 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 = new ScriptTransformationWriterThread( | ||
inputIterator.map(outputProjection), | ||
input.map(_.dataType), | ||
ioschema, | ||
outputStream, | ||
proc, | ||
stderrBuffer, | ||
TaskContext.get(), | ||
hadoopConf | ||
) | ||
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val reader = new BufferedReader(new InputStreamReader(inputStream, StandardCharsets.UTF_8)) | ||
val outputIterator: Iterator[InternalRow] = new Iterator[InternalRow] { | ||
var curLine: String = null | ||
val mutableRow = new SpecificInternalRow(output.map(_.dataType)) | ||
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override def hasNext: Boolean = { | ||
try { | ||
if (curLine == null) { | ||
curLine = reader.readLine() | ||
if (curLine == null) { | ||
checkFailureAndPropagate(writerThread, null, proc, stderrBuffer) | ||
return false | ||
} | ||
} | ||
true | ||
} catch { | ||
case NonFatal(e) => | ||
// If this exception is due to abrupt / unclean termination of `proc`, | ||
// then detect it and propagate a better exception message for end users | ||
checkFailureAndPropagate(writerThread, e, proc, stderrBuffer) | ||
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throw e | ||
} | ||
} | ||
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override def next(): InternalRow = { | ||
if (!hasNext) { | ||
throw new NoSuchElementException | ||
} | ||
val prevLine = curLine | ||
curLine = reader.readLine() | ||
if (!ioschema.schemaLess) { | ||
new GenericInternalRow( | ||
prevLine.split(ioschema.outputRowFormatMap("TOK_TABLEROWFORMATFIELD")) | ||
.map(CatalystTypeConverters.convertToCatalyst)) | ||
} else { | ||
new GenericInternalRow( | ||
prevLine.split(ioschema.outputRowFormatMap("TOK_TABLEROWFORMATFIELD"), 2) | ||
.map(CatalystTypeConverters.convertToCatalyst)) | ||
} | ||
} | ||
} | ||
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writerThread.start() | ||
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outputIterator | ||
} | ||
} | ||
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private class ScriptTransformationWriterThread( | ||
iter: Iterator[InternalRow], | ||
inputSchema: Seq[DataType], | ||
ioSchema: SparkScriptIOSchema, | ||
outputStream: OutputStream, | ||
proc: Process, | ||
stderrBuffer: CircularBuffer, | ||
taskContext: TaskContext, | ||
conf: Configuration) | ||
extends BaseScriptTransformationWriterThread( | ||
iter, | ||
inputSchema, | ||
ioSchema, | ||
outputStream, | ||
proc, | ||
stderrBuffer, | ||
taskContext, | ||
conf) { | ||
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setDaemon(true) | ||
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override def processRows(): Unit = { | ||
processRowsWithoutSerde() | ||
} | ||
} | ||
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object SparkScriptIOSchema { | ||
def apply(input: ScriptInputOutputSchema): SparkScriptIOSchema = { | ||
SparkScriptIOSchema( | ||
input.inputRowFormat, | ||
input.outputRowFormat, | ||
input.inputSerdeClass, | ||
input.outputSerdeClass, | ||
input.inputSerdeProps, | ||
input.outputSerdeProps, | ||
input.recordReaderClass, | ||
input.recordWriterClass, | ||
input.schemaLess) | ||
} | ||
} | ||
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/** | ||
* The wrapper class of Spark script transformation input and output schema properties | ||
*/ | ||
case class SparkScriptIOSchema ( | ||
inputRowFormat: Seq[(String, String)], | ||
outputRowFormat: Seq[(String, String)], | ||
inputSerdeClass: Option[String], | ||
outputSerdeClass: Option[String], | ||
inputSerdeProps: Seq[(String, String)], | ||
outputSerdeProps: Seq[(String, String)], | ||
recordReaderClass: Option[String], | ||
recordWriterClass: Option[String], | ||
schemaLess: Boolean) extends BaseScriptTransformIOSchema |
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