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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.hadoop.mapred
import java.io.IOException
import java.text.NumberFormat
import java.util.Date
import org.apache.hadoop.fs.Path
import org.apache.hadoop.io.Writable
import org.apache.spark.Logging
import org.apache.spark.SerializableWritable
import org.apache.hadoop.hive.ql.exec.{Utilities, FileSinkOperator}
import org.apache.hadoop.hive.ql.io.{HiveFileFormatUtils, HiveOutputFormat}
import org.apache.hadoop.hive.ql.plan.FileSinkDesc
/**
* Internal helper class that saves an RDD using a Hive OutputFormat.
* It is based on [[SparkHadoopWriter]].
*/
protected[apache]
class SparkHiveHadoopWriter(
@transient jobConf: JobConf,
fileSinkConf: FileSinkDesc)
extends Logging
with SparkHadoopMapRedUtil
with Serializable {
private val now = new Date()
private val conf = new SerializableWritable(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 private var format: HiveOutputFormat[AnyRef, Writable] = null
@transient private var committer: OutputCommitter = null
@transient private var jobContext: JobContext = null
@transient private var taskContext: TaskAttemptContext = null
def preSetup() {
setIDs(0, 0, 0)
setConfParams()
val jCtxt = getJobContext()
getOutputCommitter().setupJob(jCtxt)
}
def setup(jobid: Int, splitid: Int, attemptid: Int) {
setIDs(jobid, splitid, attemptid)
setConfParams()
}
def open() {
val numfmt = NumberFormat.getInstance()
numfmt.setMinimumIntegerDigits(5)
numfmt.setGroupingUsed(false)
val extension = Utilities.getFileExtension(
conf.value,
fileSinkConf.getCompressed,
getOutputFormat())
val outputName = "part-" + numfmt.format(splitID) + extension
val path = FileOutputFormat.getTaskOutputPath(conf.value, outputName)
getOutputCommitter().setupTask(getTaskContext())
writer = HiveFileFormatUtils.getHiveRecordWriter(
conf.value,
fileSinkConf.getTableInfo,
conf.value.getOutputValueClass.asInstanceOf[Class[Writable]],
fileSinkConf,
path,
null)
}
def write(value: Writable) {
if (writer != null) {
writer.write(value)
} else {
throw new IOException("Writer is null, open() has not been called")
}
}
def close() {
// Seems the boolean value passed into close does not matter.
writer.close(false)
}
def commit() {
val taCtxt = getTaskContext()
val cmtr = getOutputCommitter()
if (cmtr.needsTaskCommit(taCtxt)) {
try {
cmtr.commitTask(taCtxt)
logInfo (taID + ": Committed")
} catch {
case e: IOException => {
logError("Error committing the output of task: " + taID.value, e)
cmtr.abortTask(taCtxt)
throw e
}
}
} else {
logWarning ("No need to commit output of task: " + taID.value)
}
}
def commitJob() {
// always ? Or if cmtr.needsTaskCommit ?
val cmtr = getOutputCommitter()
cmtr.commitJob(getJobContext())
}
// ********* Private Functions *********
private def getOutputFormat(): HiveOutputFormat[AnyRef,Writable] = {
if (format == null) {
format = conf.value.getOutputFormat()
.asInstanceOf[HiveOutputFormat[AnyRef,Writable]]
}
format
}
private def getOutputCommitter(): OutputCommitter = {
if (committer == null) {
committer = conf.value.getOutputCommitter
}
committer
}
private def getJobContext(): JobContext = {
if (jobContext == null) {
jobContext = newJobContext(conf.value, jID.value)
}
jobContext
}
private def getTaskContext(): TaskAttemptContext = {
if (taskContext == null) {
taskContext = newTaskAttemptContext(conf.value, taID.value)
}
taskContext
}
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)
}
}
object SparkHiveHadoopWriter {
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)
}
}
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