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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.
*/
package org.apache.spark.sql.hive
import java.text.NumberFormat
import java.util.Date
import scala.collection.mutable
import org.apache.hadoop.fs.Path
import org.apache.hadoop.hive.conf.HiveConf.ConfVars
import org.apache.hadoop.hive.ql.exec.{FileSinkOperator, Utilities}
import org.apache.hadoop.hive.ql.io.{HiveFileFormatUtils, HiveOutputFormat}
import org.apache.hadoop.hive.ql.plan.{PlanUtils, TableDesc}
import org.apache.hadoop.io.Writable
import org.apache.hadoop.mapred._
import org.apache.hadoop.hive.common.FileUtils
import org.apache.spark.mapred.SparkHadoopMapRedUtil
import org.apache.spark.sql.Row
import org.apache.spark.{Logging, SerializableWritable, SparkHadoopWriter}
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.util.DateTimeUtils
import org.apache.spark.sql.hive.HiveShim.{ShimFileSinkDesc => FileSinkDesc}
import org.apache.spark.sql.types._
import org.apache.spark.util.SerializableJobConf
/**
* Internal helper class that saves an RDD using a Hive OutputFormat.
* It is based on [[SparkHadoopWriter]].
*/
private[hive] class SparkHiveWriterContainer(
@transient jobConf: JobConf,
fileSinkConf: FileSinkDesc)
extends Logging
with SparkHadoopMapRedUtil
with Serializable {
private val now = new Date()
private val tableDesc: TableDesc = fileSinkConf.getTableInfo
// Add table properties from storage handler to jobConf, so any custom storage
// handler settings can be set to jobConf
if (tableDesc != null) {
PlanUtils.configureOutputJobPropertiesForStorageHandler(tableDesc)
Utilities.copyTableJobPropertiesToConf(tableDesc, jobConf)
}
protected val conf = new SerializableJobConf(jobConf)
private var jobID = 0
private var splitID = 0
private var attemptID = 0
private var jID: SerializableWritable[JobID] = null
private var taID: SerializableWritable[TaskAttemptID] = null
@transient private var writer: FileSinkOperator.RecordWriter = null
@transient protected lazy val committer = conf.value.getOutputCommitter
@transient protected lazy val jobContext = newJobContext(conf.value, jID.value)
@transient private lazy val taskContext = newTaskAttemptContext(conf.value, taID.value)
@transient private lazy val outputFormat =
conf.value.getOutputFormat.asInstanceOf[HiveOutputFormat[AnyRef, Writable]]
def driverSideSetup() {
setIDs(0, 0, 0)
setConfParams()
committer.setupJob(jobContext)
}
def executorSideSetup(jobId: Int, splitId: Int, attemptId: Int) {
setIDs(jobId, splitId, attemptId)
setConfParams()
committer.setupTask(taskContext)
initWriters()
}
protected def getOutputName: String = {
val numberFormat = NumberFormat.getInstance()
numberFormat.setMinimumIntegerDigits(5)
numberFormat.setGroupingUsed(false)
val extension = Utilities.getFileExtension(conf.value, fileSinkConf.getCompressed, outputFormat)
"part-" + numberFormat.format(splitID) + extension
}
def getLocalFileWriter(row: InternalRow, schema: StructType): FileSinkOperator.RecordWriter = {
writer
}
def close() {
// Seems the boolean value passed into close does not matter.
writer.close(false)
commit()
}
def commitJob() {
committer.commitJob(jobContext)
}
protected def initWriters() {
// NOTE this method is executed at the executor side.
// For Hive tables without partitions or with only static partitions, only 1 writer is needed.
writer = HiveFileFormatUtils.getHiveRecordWriter(
conf.value,
fileSinkConf.getTableInfo,
conf.value.getOutputValueClass.asInstanceOf[Class[Writable]],
fileSinkConf,
FileOutputFormat.getTaskOutputPath(conf.value, getOutputName),
Reporter.NULL)
}
protected def commit() {
SparkHadoopMapRedUtil.commitTask(committer, taskContext, jobID, splitID)
}
private def setIDs(jobId: Int, splitId: Int, attemptId: Int) {
jobID = jobId
splitID = splitId
attemptID = attemptId
jID = new SerializableWritable[JobID](SparkHadoopWriter.createJobID(now, jobId))
taID = new SerializableWritable[TaskAttemptID](
new TaskAttemptID(new TaskID(jID.value, true, splitID), attemptID))
}
private def setConfParams() {
conf.value.set("mapred.job.id", jID.value.toString)
conf.value.set("mapred.tip.id", taID.value.getTaskID.toString)
conf.value.set("mapred.task.id", taID.value.toString)
conf.value.setBoolean("mapred.task.is.map", true)
conf.value.setInt("mapred.task.partition", splitID)
}
}
private[hive] object SparkHiveWriterContainer {
def createPathFromString(path: String, conf: JobConf): Path = {
if (path == null) {
throw new IllegalArgumentException("Output path is null")
}
val outputPath = new Path(path)
val fs = outputPath.getFileSystem(conf)
if (outputPath == null || fs == null) {
throw new IllegalArgumentException("Incorrectly formatted output path")
}
outputPath.makeQualified(fs.getUri, fs.getWorkingDirectory)
}
}
private[spark] object SparkHiveDynamicPartitionWriterContainer {
val SUCCESSFUL_JOB_OUTPUT_DIR_MARKER = "mapreduce.fileoutputcommitter.marksuccessfuljobs"
}
private[spark] class SparkHiveDynamicPartitionWriterContainer(
@transient jobConf: JobConf,
fileSinkConf: FileSinkDesc,
dynamicPartColNames: Array[String])
extends SparkHiveWriterContainer(jobConf, fileSinkConf) {
import SparkHiveDynamicPartitionWriterContainer._
private val defaultPartName = jobConf.get(
ConfVars.DEFAULTPARTITIONNAME.varname, ConfVars.DEFAULTPARTITIONNAME.defaultStrVal)
@transient private var writers: mutable.HashMap[String, FileSinkOperator.RecordWriter] = _
override protected def initWriters(): Unit = {
// NOTE: This method is executed at the executor side.
// Actual writers are created for each dynamic partition on the fly.
writers = mutable.HashMap.empty[String, FileSinkOperator.RecordWriter]
}
override def close(): Unit = {
writers.values.foreach(_.close(false))
commit()
}
override def commitJob(): Unit = {
// This is a hack to avoid writing _SUCCESS mark file. In lower versions of Hadoop (e.g. 1.0.4),
// semantics of FileSystem.globStatus() is different from higher versions (e.g. 2.4.1) and will
// include _SUCCESS file when glob'ing for dynamic partition data files.
//
// Better solution is to add a step similar to what Hive FileSinkOperator.jobCloseOp does:
// calling something like Utilities.mvFileToFinalPath to cleanup the output directory and then
// load it with loadDynamicPartitions/loadPartition/loadTable.
val oldMarker = jobConf.getBoolean(SUCCESSFUL_JOB_OUTPUT_DIR_MARKER, true)
jobConf.setBoolean(SUCCESSFUL_JOB_OUTPUT_DIR_MARKER, false)
super.commitJob()
jobConf.setBoolean(SUCCESSFUL_JOB_OUTPUT_DIR_MARKER, oldMarker)
}
override def getLocalFileWriter(row: InternalRow, schema: StructType)
: FileSinkOperator.RecordWriter = {
def convertToHiveRawString(col: String, value: Any): String = {
val raw = String.valueOf(value)
schema(col).dataType match {
case DateType => DateTimeUtils.dateToString(raw.toInt)
case _: DecimalType => BigDecimal(raw).toString()
case _ => raw
}
}
val nonDynamicPartLen = row.numFields - dynamicPartColNames.length
val dynamicPartPath = dynamicPartColNames.zipWithIndex.map { case (colName, i) =>
val rawVal = row.get(nonDynamicPartLen + i, schema(colName).dataType)
val string = if (rawVal == null) null else convertToHiveRawString(colName, rawVal)
val colString =
if (string == null || string.isEmpty) {
defaultPartName
} else {
FileUtils.escapePathName(string, defaultPartName)
}
s"/$colName=$colString"
}.mkString
def newWriter(): FileSinkOperator.RecordWriter = {
val newFileSinkDesc = new FileSinkDesc(
fileSinkConf.getDirName + dynamicPartPath,
fileSinkConf.getTableInfo,
fileSinkConf.getCompressed)
newFileSinkDesc.setCompressCodec(fileSinkConf.getCompressCodec)
newFileSinkDesc.setCompressType(fileSinkConf.getCompressType)
// use the path like ${hive_tmp}/_temporary/${attemptId}/
// to avoid write to the same file when `spark.speculation=true`
val path = FileOutputFormat.getTaskOutputPath(
conf.value,
dynamicPartPath.stripPrefix("/") + "/" + getOutputName)
HiveFileFormatUtils.getHiveRecordWriter(
conf.value,
fileSinkConf.getTableInfo,
conf.value.getOutputValueClass.asInstanceOf[Class[Writable]],
newFileSinkDesc,
path,
Reporter.NULL)
}
writers.getOrElseUpdate(dynamicPartPath, newWriter())
}
}
