Hi,
After updating from spark-1.0.0 to spark-1.1.0, my spark applications failed
most of the time (but not always) in yarn-cluster mode (but not in yarn-client
mode).
Here is my configuration:
* spark-1.1.0
* hadoop-2.2.0
And the hadoop.tmp.dir definition in the hadoop core-site.xml file (each
directory is on its own partition):
<property>
<name>hadoop.tmp.dir</name>
<value>file:/d1/yarn/local,file:/d2/yarn/local,file:/d3/yarn/local,file:/d4/yarn/local,file:/d5/yarn/local,file:/d6/yarn/local,file:/d7/yarn/local</value>
</property>
After investigating, it turns out that the problem is when the executor fetches
a jar file: the jar is downloaded in a temporary file, always in /d1/yarn/local
(see hadoop.tmp.dir definition above), and then moved in one of the temporary
directory defined in hadoop.tmp.dir:
* if it is the same than the temporary file (i.e. /d1/yarn/local), then the
application continues normally
* if it is another one (i.e. /d2/yarn/local, /d3/yarn/local,...), it fails
with the following error:
14/10/10 14:33:51 ERROR executor.Executor: Exception in task 0.0 in stage 1.0
(TID 0)
java.io.FileNotFoundException: ./logReader-1.0.10.jar (Permission denied)
at java.io.FileOutputStream.open(Native Method)
at java.io.FileOutputStream.<init>(FileOutputStream.java:221)
at com.google.common.io.Files$FileByteSink.openStream(Files.java:223)
at com.google.common.io.Files$FileByteSink.openStream(Files.java:211)
at com.google.common.io.ByteSource.copyTo(ByteSource.java:203)
at com.google.common.io.Files.copy(Files.java:436)
at com.google.common.io.Files.move(Files.java:651)
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:440)
at
org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$6.apply(Executor.scala:325)
at
org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$6.apply(Executor.scala:323)
at
scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
at
scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at
scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at
scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
at
scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
at
org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:323)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:158)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
I have no idea why the move fails when the source and target files are not on
the same partition, for the moment I have worked around the problem with the
attached patch (i.e. I ensure that the temp file and the moved file are always
on the same partition).
Any thought about this problem?
Thanks!
Christophe.
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--- core/src/main/scala/org/apache/spark/util/Utils.scala.orig 2014-09-03 08:00:33.000000000 +0200
+++ core/src/main/scala/org/apache/spark/util/Utils.scala 2014-10-10 17:51:59.000000000 +0200
@@ -349,8 +349,7 @@
*/
def fetchFile(url: String, targetDir: File, conf: SparkConf, securityMgr: SecurityManager) {
val filename = url.split("/").last
- val tempDir = getLocalDir(conf)
- val tempFile = File.createTempFile("fetchFileTemp", null, new File(tempDir))
+ val tempFile = File.createTempFile("fetchFileTemp", null, new File(targetDir.getAbsolutePath))
val targetFile = new File(targetDir, filename)
val uri = new URI(url)
val fileOverwrite = conf.getBoolean("spark.files.overwrite", false)
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