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33 changes: 18 additions & 15 deletions core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
Original file line number Diff line number Diff line change
Expand Up @@ -157,20 +157,25 @@ class HadoopRDD[K, V](
if (conf.isInstanceOf[JobConf]) {
logDebug("Re-using user-broadcasted JobConf")
conf.asInstanceOf[JobConf]
} else if (HadoopRDD.containsCachedMetadata(jobConfCacheKey)) {
logDebug("Re-using cached JobConf")
HadoopRDD.getCachedMetadata(jobConfCacheKey).asInstanceOf[JobConf]
} else {
// Create a JobConf that will be cached and used across this RDD's getJobConf() calls in the
// local process. The local cache is accessed through HadoopRDD.putCachedMetadata().
// The caching helps minimize GC, since a JobConf can contain ~10KB of temporary objects.
// Synchronize to prevent ConcurrentModificationException (SPARK-1097, HADOOP-10456).
HadoopRDD.CONFIGURATION_INSTANTIATION_LOCK.synchronized {
logDebug("Creating new JobConf and caching it for later re-use")
val newJobConf = new JobConf(conf)
initLocalJobConfFuncOpt.foreach(f => f(newJobConf))
HadoopRDD.putCachedMetadata(jobConfCacheKey, newJobConf)
newJobConf
Option(HadoopRDD.getCachedMetadata(jobConfCacheKey))
.map { conf =>
logDebug("Re-using cached JobConf")
conf.asInstanceOf[JobConf]
}
.getOrElse {
// Create a JobConf that will be cached and used across this RDD's getJobConf() calls in
// the local process. The local cache is accessed through HadoopRDD.putCachedMetadata().
// The caching helps minimize GC, since a JobConf can contain ~10KB of temporary
// objects. Synchronize to prevent ConcurrentModificationException (SPARK-1097,
// HADOOP-10456).
HadoopRDD.CONFIGURATION_INSTANTIATION_LOCK.synchronized {
logDebug("Creating new JobConf and caching it for later re-use")
val newJobConf = new JobConf(conf)
initLocalJobConfFuncOpt.foreach(f => f(newJobConf))
HadoopRDD.putCachedMetadata(jobConfCacheKey, newJobConf)
newJobConf
}
}
}
}
Expand Down Expand Up @@ -360,8 +365,6 @@ private[spark] object HadoopRDD extends Logging {
*/
def getCachedMetadata(key: String): Any = SparkEnv.get.hadoopJobMetadata.get(key)

def containsCachedMetadata(key: String): Boolean = SparkEnv.get.hadoopJobMetadata.containsKey(key)

private def putCachedMetadata(key: String, value: Any): Unit =
SparkEnv.get.hadoopJobMetadata.put(key, value)

Expand Down