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[SPARK-1415] Hadoop min split for wholeTextFiles() #376

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yinxusen wants to merge 4 commits into from
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[SPARK-1415] Hadoop min split for wholeTextFiles() #376

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4875755
add minSplits for WholeTextFiles
yinxusen Apr 10, 2014
766d05b
refine Java API and comments
yinxusen Apr 10, 2014
c10af60
refine comments and rewrite new class for wholeTextFile
yinxusen Apr 11, 2014
76417f6
refine comments
yinxusen Apr 13, 2014
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refine comments
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@yinxusen
yinxusen committed Apr 13, 2014
commit 76417f61f4c1d20a7e44ff70f688c503ba87ec3f
2 changes: 1 addition & 1 deletion core/src/main/scala/org/apache/spark/SparkContext.scala
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Expand Up @@ -444,7 +444,7 @@ class SparkContext(config: SparkConf) extends Logging {
* hdfs://a-hdfs-path/part-nnnnn
* }}}
*
* Do `val rdd = sparkContext.wholeTextFile("hdfs://a-hdfs-path")`
* Do `val rdd = sparkContext.wholeTextFile("hdfs://a-hdfs-path")`,
*
* <p> then `rdd` contains
* {{{
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12 changes: 5 additions & 7 deletions core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala
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Expand Up @@ -24,9 +24,13 @@ import org.apache.hadoop.conf.{Configurable, Configuration}
import org.apache.hadoop.io.Writable
import org.apache.hadoop.mapreduce._

import org.apache.spark.{InterruptibleIterator, Logging, Partition, SerializableWritable, SparkContext, TaskContext}
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.input.WholeTextFileInputFormat
import org.apache.spark.InterruptibleIterator
import org.apache.spark.Logging
import org.apache.spark.Partition
import org.apache.spark.SerializableWritable
import org.apache.spark.{SparkContext, TaskContext}

private[spark] class NewHadoopPartition(
rddId: Int,
Expand Down Expand Up @@ -82,13 +86,7 @@ class NewHadoopRDD[K, V](
configurable.setConf(conf)
case _ =>
}

val jobContext = newJobContext(conf, jobId)

if (inputFormat.isInstanceOf[WholeTextFileInputFormat]) {
inputFormat.asInstanceOf[WholeTextFileInputFormat].setMaxSplitSize(jobContext, minSplits)
}

val rawSplits = inputFormat.getSplits(jobContext).toArray
val result = new Array[Partition](rawSplits.size)
for (i <- 0 until rawSplits.size) {
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