diff options
| -rw-r--r-- | core/src/main/scala/org/apache/spark/SparkHadoopWriter.scala | 29 | ||||
| -rw-r--r-- | core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala | 25 | ||||
| -rw-r--r-- | core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala | 7 | ||||
| -rw-r--r-- | sql/hive/src/main/scala/org/apache/spark/SparkHadoopWriter.scala (renamed from sql/hive/src/main/scala/org/apache/hadoop/mapred/SparkHadoopWriter.scala) | 8 | ||||
| -rw-r--r-- | sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala | 2 |
5 files changed, 41 insertions, 30 deletions
diff --git a/core/src/main/scala/org/apache/spark/SparkHadoopWriter.scala b/core/src/main/scala/org/apache/spark/SparkHadoopWriter.scala index d404459a8e..b92ea01a87 100644 --- a/core/src/main/scala/org/apache/spark/SparkHadoopWriter.scala +++ b/core/src/main/scala/org/apache/spark/SparkHadoopWriter.scala @@ -15,28 +15,26 @@ * limitations under the License. */ -package org.apache.hadoop.mapred +package org.apache.spark import java.io.IOException import java.text.NumberFormat import java.text.SimpleDateFormat import java.util.Date +import org.apache.hadoop.mapred._ import org.apache.hadoop.fs.FileSystem import org.apache.hadoop.fs.Path -import org.apache.spark.Logging -import org.apache.spark.SerializableWritable +import org.apache.spark.rdd.HadoopRDD /** - * Internal helper class that saves an RDD using a Hadoop OutputFormat. This is only public - * because we need to access this class from the `spark` package to use some package-private Hadoop - * functions, but this class should not be used directly by users. + * Internal helper class that saves an RDD using a Hadoop OutputFormat. * * Saves the RDD using a JobConf, which should contain an output key class, an output value class, * a filename to write to, etc, exactly like in a Hadoop MapReduce job. */ -private[apache] +private[spark] class SparkHadoopWriter(@transient jobConf: JobConf) extends Logging with SparkHadoopMapRedUtil @@ -59,7 +57,7 @@ class SparkHadoopWriter(@transient jobConf: JobConf) def preSetup() { setIDs(0, 0, 0) - setConfParams() + HadoopRDD.addLocalConfiguration("", 0, 0, 0, conf.value) val jCtxt = getJobContext() getOutputCommitter().setupJob(jCtxt) @@ -68,7 +66,8 @@ class SparkHadoopWriter(@transient jobConf: JobConf) def setup(jobid: Int, splitid: Int, attemptid: Int) { setIDs(jobid, splitid, attemptid) - setConfParams() + HadoopRDD.addLocalConfiguration(new SimpleDateFormat("yyyyMMddHHmm").format(now), + jobid, splitID, attemptID, conf.value) } def open() { @@ -167,21 +166,13 @@ class SparkHadoopWriter(@transient jobConf: JobConf) 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[apache] +private[spark] object SparkHadoopWriter { def createJobID(time: Date, id: Int): JobID = { val formatter = new SimpleDateFormat("yyyyMMddHHmm") - val jobtrackerID = formatter.format(new Date()) + val jobtrackerID = formatter.format(time) new JobID(jobtrackerID, id) } diff --git a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala index 100ddb3607..932ff5bf36 100644 --- a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala +++ b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala @@ -17,6 +17,8 @@ package org.apache.spark.rdd +import java.text.SimpleDateFormat +import java.util.Date import java.io.EOFException import scala.collection.immutable.Map @@ -27,6 +29,9 @@ import org.apache.hadoop.mapred.InputSplit import org.apache.hadoop.mapred.JobConf import org.apache.hadoop.mapred.RecordReader import org.apache.hadoop.mapred.Reporter +import org.apache.hadoop.mapred.JobID +import org.apache.hadoop.mapred.TaskAttemptID +import org.apache.hadoop.mapred.TaskID import org.apache.hadoop.util.ReflectionUtils import org.apache.spark._ @@ -111,6 +116,9 @@ class HadoopRDD[K, V]( protected val inputFormatCacheKey = "rdd_%d_input_format".format(id) + // used to build JobTracker ID + private val createTime = new Date() + // Returns a JobConf that will be used on slaves to obtain input splits for Hadoop reads. protected def getJobConf(): JobConf = { val conf: Configuration = broadcastedConf.value.value @@ -165,12 +173,14 @@ class HadoopRDD[K, V]( override def compute(theSplit: Partition, context: TaskContext) = { val iter = new NextIterator[(K, V)] { + val split = theSplit.asInstanceOf[HadoopPartition] logInfo("Input split: " + split.inputSplit) var reader: RecordReader[K, V] = null - val jobConf = getJobConf() val inputFormat = getInputFormat(jobConf) + HadoopRDD.addLocalConfiguration(new SimpleDateFormat("yyyyMMddHHmm").format(createTime), + context.stageId, theSplit.index, context.attemptId.toInt, jobConf) reader = inputFormat.getRecordReader(split.inputSplit.value, jobConf, Reporter.NULL) // Register an on-task-completion callback to close the input stream. @@ -222,4 +232,17 @@ private[spark] object HadoopRDD { def putCachedMetadata(key: String, value: Any) = SparkEnv.get.hadoopJobMetadata.put(key, value) + + /** Add Hadoop configuration specific to a single partition and attempt. */ + def addLocalConfiguration(jobTrackerId: String, jobId: Int, splitId: Int, attemptId: Int, + conf: JobConf) { + val jobID = new JobID(jobTrackerId, jobId) + val taId = new TaskAttemptID(new TaskID(jobID, true, splitId), attemptId) + + conf.set("mapred.tip.id", taId.getTaskID.toString) + conf.set("mapred.task.id", taId.toString) + conf.setBoolean("mapred.task.is.map", true) + conf.setInt("mapred.task.partition", splitId) + conf.set("mapred.job.id", jobID.toString) + } } diff --git a/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala index 75fc02acd1..14386ff5b9 100644 --- a/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala +++ b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala @@ -34,14 +34,13 @@ import org.apache.hadoop.fs.FileSystem import org.apache.hadoop.io.SequenceFile.CompressionType import org.apache.hadoop.io.compress.CompressionCodec import org.apache.hadoop.mapred.{FileOutputCommitter, FileOutputFormat, JobConf, OutputFormat} -import org.apache.hadoop.mapreduce.{OutputFormat => NewOutputFormat, Job => NewAPIHadoopJob, RecordWriter => NewRecordWriter, SparkHadoopMapReduceUtil} +import org.apache.hadoop.mapreduce.{OutputFormat => NewOutputFormat, Job => NewAPIHadoopJob, +RecordWriter => NewRecordWriter, SparkHadoopMapReduceUtil} import org.apache.hadoop.mapreduce.lib.output.{FileOutputFormat => NewFileOutputFormat} -// SparkHadoopWriter and SparkHadoopMapReduceUtil are actually source files defined in Spark. -import org.apache.hadoop.mapred.SparkHadoopWriter - import org.apache.spark._ import org.apache.spark.deploy.SparkHadoopUtil +import org.apache.spark.SparkHadoopWriter import org.apache.spark.Partitioner.defaultPartitioner import org.apache.spark.SparkContext._ import org.apache.spark.partial.{BoundedDouble, PartialResult} diff --git a/sql/hive/src/main/scala/org/apache/hadoop/mapred/SparkHadoopWriter.scala b/sql/hive/src/main/scala/org/apache/spark/SparkHadoopWriter.scala index 0b38731919..d96c2f70e0 100644 --- a/sql/hive/src/main/scala/org/apache/hadoop/mapred/SparkHadoopWriter.scala +++ b/sql/hive/src/main/scala/org/apache/spark/SparkHadoopWriter.scala @@ -15,7 +15,7 @@ * limitations under the License. */ -package org.apache.hadoop.mapred +package org.apache.spark import java.io.IOException import java.text.NumberFormat @@ -25,16 +25,14 @@ import org.apache.hadoop.fs.Path 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.FileSinkDesc +import org.apache.hadoop.mapred._ import org.apache.hadoop.io.Writable -import org.apache.spark.Logging -import org.apache.spark.SerializableWritable - /** * Internal helper class that saves an RDD using a Hive OutputFormat. * It is based on [[SparkHadoopWriter]]. */ -protected[apache] +protected[spark] class SparkHiveHadoopWriter( @transient jobConf: JobConf, fileSinkConf: FileSinkDesc) diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala index 9aa9e173a8..78f69e7ff5 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala @@ -35,7 +35,7 @@ import org.apache.spark.rdd.RDD import org.apache.spark.sql.catalyst.expressions._ import org.apache.spark.sql.catalyst.types.{BooleanType, DataType} import org.apache.spark.sql.execution._ -import org.apache.spark.{TaskContext, SparkException} +import org.apache.spark.{SparkHiveHadoopWriter, TaskContext, SparkException} /* Implicits */ import scala.collection.JavaConversions._ |