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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/06/21 13:39:00 UTC
[jira] [Commented] (SPARK-21161) SparkContext stopped when execute
a query on Solr
[ https://issues.apache.org/jira/browse/SPARK-21161?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16057530#comment-16057530 ]
Apache Spark commented on SPARK-21161:
--------------------------------------
User 'janplus' has created a pull request for this issue:
https://github.com/apache/spark/pull/18376
> SparkContext stopped when execute a query on Solr
> -------------------------------------------------
>
> Key: SPARK-21161
> URL: https://issues.apache.org/jira/browse/SPARK-21161
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.1
> Environment: Hadoop2.7.3, Spark 2.1.1, spark-solr-3.0.1.jar, solr-solrj-6.5.1.jar
> Reporter: Jian Wu
>
> The SparkContext stopped due to DAGSchedulerEventProcessLoop failed when I query Solr data in Spark.
> {code:none}
> 17/06/21 12:40:53 INFO ContextLauncher: 17/06/21 12:40:53 ERROR scheduler.DAGSchedulerEventProcessLoop: DAGSchedulerEventProcessLoop failed; shutting down SparkContext
> 17/06/21 12:40:53 INFO ContextLauncher: java.lang.NumberFormatException: For input string: “8983_solr”
> 17/06/21 12:40:53 INFO ContextLauncher: at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
> 17/06/21 12:40:53 INFO ContextLauncher: at java.lang.Integer.parseInt(Integer.java:580)
> 17/06/21 12:40:53 INFO ContextLauncher: at java.lang.Integer.parseInt(Integer.java:615)
> 17/06/21 12:40:53 INFO ContextLauncher: at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
> 17/06/21 12:40:53 INFO ContextLauncher: at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.util.Utils$.parseHostPort(Utils.scala:959)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.cluster.YarnScheduler.getRackForHost(YarnScheduler.scala:36)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.TaskSetManager$$anonfun$org$apache$spark$scheduler$TaskSetManager$$addPendingTask$1.apply(TaskSetManager.scala:200)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.TaskSetManager$$anonfun$org$apache$spark$scheduler$TaskSetManager$$addPendingTask$1.apply(TaskSetManager.scala:181)
> 17/06/21 12:40:53 INFO ContextLauncher: at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> 17/06/21 12:40:53 INFO ContextLauncher: at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.TaskSetManager.org$apache$spark$scheduler$TaskSetManager$$addPendingTask(TaskSetManager.scala:181)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.TaskSetManager$$anonfun$1.apply$mcVI$sp(TaskSetManager.scala:160)
> 17/06/21 12:40:53 INFO ContextLauncher: at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:160)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.TaskSetManager.<init>(TaskSetManager.scala:159)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.TaskSchedulerImpl.createTaskSetManager(TaskSchedulerImpl.scala:212)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.TaskSchedulerImpl.submitTasks(TaskSchedulerImpl.scala:176)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.DAGScheduler.submitMissingTasks(DAGScheduler.scala:1043)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:918)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$submitStage$4.apply(DAGScheduler.scala:921)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$submitStage$4.apply(DAGScheduler.scala:920)
> 17/06/21 12:40:53 INFO ContextLauncher: at scala.collection.immutable.List.foreach(List.scala:381)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:920)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:862)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1613)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
> 17/06/21 12:40:53 INFO ContextLauncher: at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> {code}
> It is caused by the Solr special node name like "idx5.oi.dev:8983_solr". It brings "_solr" along with the port number. So when the YarnScheduler parses the port, it gets a "java.lang.NumberFormatException".
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