Kent Yao created SPARK-28992:
--------------------------------
Summary: Support update dependencies from hdfs when task run on
executor pods
Key: SPARK-28992
URL: https://issues.apache.org/jira/browse/SPARK-28992
Project: Spark
Issue Type: Improvement
Components: Kubernetes
Affects Versions: 2.4.4
Reporter: Kent Yao
Here is a case:
{code:java}
bin/spark-submit --class com.github.ehiggs.spark.terasort.TeraSort
hdfs://hz-cluster10/user/kyuubi/udf/spark-terasort-1.1-SNAPSHOT-jar-with-dependencies.jar
hdfs://hz-cluster10/user/kyuubi/terasort/1000g
hdfs://hz-cluster10/user/kyuubi/terasort/1000g-out1
{code}
Spark supports add jar logic and application-jar from hdfs - -
[http://spark.apache.org/docs/latest/submitting-applications.html#launching-applications-with-spark-submit]
Take spark on yarn for example, it creates a __spark_hadoop_conf__.xml file and
upload the hadoop distribute cache, the executor processes can use this to
identify where their dependencies located.
But on k8s, i tried and failed to update dependencies.
{code:java}
19/09/04 08:08:52 INFO scheduler.DAGScheduler: ShuffleMapStage 0
(newAPIHadoopFile at TeraSort.scala:60) failed in 1.058 s due to Job aborted
due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure:
Lost task 0.3 in stage 0.0 (TID 9, 100.66.0.75, executor 2):
java.lang.IllegalArgumentException: java.net.UnknownHostException: hz-cluster10
19/09/04 08:08:52 INFO scheduler.DAGScheduler: ShuffleMapStage 0
(newAPIHadoopFile at TeraSort.scala:60) failed in 1.058 s due to Job aborted
due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure:
Lost task 0.3 in stage 0.0 (TID 9, 100.66.0.75, executor 2):
java.lang.IllegalArgumentException: java.net.UnknownHostException: hz-cluster10
at
org.apache.hadoop.security.SecurityUtil.buildTokenService(SecurityUtil.java:378)
at
org.apache.hadoop.hdfs.NameNodeProxies.createNonHAProxy(NameNodeProxies.java:310)
at
org.apache.hadoop.hdfs.NameNodeProxies.createProxy(NameNodeProxies.java:176) at
org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:678) at
org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:619) at
org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:149)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669) at
org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94) at
org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703) at
org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685) at
org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373) at
org.apache.spark.util.Utils$.getHadoopFileSystem(Utils.scala:1881) at
org.apache.spark.util.Utils$.doFetchFile(Utils.scala:737) at
org.apache.spark.util.Utils$.fetchFile(Utils.scala:522) at
org.apache.spark.executor.Executor.$anonfun$updateDependencies$7(Executor.scala:869)
at
org.apache.spark.executor.Executor.$anonfun$updateDependencies$7$adapted(Executor.scala:860)
at
scala.collection.TraversableLike$WithFilter.$anonfun$foreach$1(TraversableLike.scala:792)
at scala.collection.mutable.HashMap.$anonfun$foreach$1(HashMap.scala:149) at
scala.collection.mutable.HashTable.foreachEntry(HashTable.scala:237) at
scala.collection.mutable.HashTable.foreachEntry$(HashTable.scala:230) at
scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:44) at
scala.collection.mutable.HashMap.foreach(HashMap.scala:149) at
scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:791)
at
org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:860)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:409) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{code}
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