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authorHenry Saputra <hsaputra@apache.org>2014-01-07 23:23:17 -0800
committerHenry Saputra <hsaputra@apache.org>2014-01-07 23:23:17 -0800
commitf6b6f88367351f99d02a7de0dbd5c1980cc97bbf (patch)
tree566c7eb9119a60a9063d5a8edeb4209ac786c991
parentc0f0155eca6405d0768a476f0be00594e478fce0 (diff)
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Set boolean param name for two files call to SparkHadoopMapReduceUtil.newTaskAttemptID to make
it clear which param being set.
-rw-r--r--core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala2
-rw-r--r--core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala4
2 files changed, 3 insertions, 3 deletions
diff --git a/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
index 2662d48c84..73d15b9082 100644
--- a/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
@@ -76,7 +76,7 @@ class NewHadoopRDD[K, V](
val split = theSplit.asInstanceOf[NewHadoopPartition]
logInfo("Input split: " + split.serializableHadoopSplit)
val conf = confBroadcast.value.value
- val attemptId = newTaskAttemptID(jobtrackerId, id, true, split.index, 0)
+ val attemptId = newTaskAttemptID(jobtrackerId, id, isMap = true, split.index, 0)
val hadoopAttemptContext = newTaskAttemptContext(conf, attemptId)
val format = inputFormatClass.newInstance
if (format.isInstanceOf[Configurable]) {
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 04a8d05988..c8446fd0fc 100644
--- a/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
@@ -613,7 +613,7 @@ class PairRDDFunctions[K: ClassTag, V: ClassTag](self: RDD[(K, V)])
// around by taking a mod. We expect that no task will be attempted 2 billion times.
val attemptNumber = (context.attemptId % Int.MaxValue).toInt
/* "reduce task" <split #> <attempt # = spark task #> */
- val attemptId = newTaskAttemptID(jobtrackerID, stageId, false, context.partitionId, attemptNumber)
+ val attemptId = newTaskAttemptID(jobtrackerID, stageId, isMap = false, context.partitionId, attemptNumber)
val hadoopContext = newTaskAttemptContext(wrappedConf.value, attemptId)
val format = outputFormatClass.newInstance
val committer = format.getOutputCommitter(hadoopContext)
@@ -632,7 +632,7 @@ class PairRDDFunctions[K: ClassTag, V: ClassTag](self: RDD[(K, V)])
* however we're only going to use this local OutputCommitter for
* setupJob/commitJob, so we just use a dummy "map" task.
*/
- val jobAttemptId = newTaskAttemptID(jobtrackerID, stageId, true, 0, 0)
+ val jobAttemptId = newTaskAttemptID(jobtrackerID, stageId, isMap = true, 0, 0)
val jobTaskContext = newTaskAttemptContext(wrappedConf.value, jobAttemptId)
val jobCommitter = jobFormat.getOutputCommitter(jobTaskContext)
jobCommitter.setupJob(jobTaskContext)