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From "Tim Robertson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-7387) Guava version conflict between hadoop and spark [Spark-Branch]
Date Wed, 28 Jan 2015 14:35:35 GMT

    [ https://issues.apache.org/jira/browse/HIVE-7387?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14295212#comment-14295212
] 

Tim Robertson commented on HIVE-7387:
-------------------------------------

This affects anyone trying to use a custom UDF from the Hive CLI when the UDF depends on later
Guava methods too.  
Suggest reopening this as a valid issue.

> Guava version conflict between hadoop and spark [Spark-Branch]
> --------------------------------------------------------------
>
>                 Key: HIVE-7387
>                 URL: https://issues.apache.org/jira/browse/HIVE-7387
>             Project: Hive
>          Issue Type: Bug
>          Components: Spark
>            Reporter: Chengxiang Li
>            Assignee: Chengxiang Li
>         Attachments: HIVE-7387-spark.patch
>
>
> The guava conflict happens in hive driver compile stage, as in the follow exception stacktrace,
conflict happens while initiate spark RDD in SparkClient, hive driver take both guava 11 from
hadoop classpath and spark assembly jar which contains guava 14 classes in its classpath,
spark invoked HashFunction.hasInt which method does not exists in guava 11 version, obvious
the guava 11 version HashFunction is loaded into the JVM, which lead to a  NoSuchMethodError
during initiate spark RDD.
> {code}
> java.lang.NoSuchMethodError: com.google.common.hash.HashFunction.hashInt(I)Lcom/google/common/hash/HashCode;
> 	at org.apache.spark.util.collection.OpenHashSet.org$apache$spark$util$collection$OpenHashSet$$hashcode(OpenHashSet.scala:261)
> 	at org.apache.spark.util.collection.OpenHashSet$mcI$sp.getPos$mcI$sp(OpenHashSet.scala:165)
> 	at org.apache.spark.util.collection.OpenHashSet$mcI$sp.contains$mcI$sp(OpenHashSet.scala:102)
> 	at org.apache.spark.util.SizeEstimator$$anonfun$visitArray$2.apply$mcVI$sp(SizeEstimator.scala:214)
> 	at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
> 	at org.apache.spark.util.SizeEstimator$.visitArray(SizeEstimator.scala:210)
> 	at org.apache.spark.util.SizeEstimator$.visitSingleObject(SizeEstimator.scala:169)
> 	at org.apache.spark.util.SizeEstimator$.org$apache$spark$util$SizeEstimator$$estimate(SizeEstimator.scala:161)
> 	at org.apache.spark.util.SizeEstimator$.estimate(SizeEstimator.scala:155)
> 	at org.apache.spark.storage.MemoryStore.putValues(MemoryStore.scala:75)
> 	at org.apache.spark.storage.MemoryStore.putValues(MemoryStore.scala:92)
> 	at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:661)
> 	at org.apache.spark.storage.BlockManager.put(BlockManager.scala:546)
> 	at org.apache.spark.storage.BlockManager.putSingle(BlockManager.scala:812)
> 	at org.apache.spark.broadcast.HttpBroadcast.<init>(HttpBroadcast.scala:52)
> 	at org.apache.spark.broadcast.HttpBroadcastFactory.newBroadcast(HttpBroadcastFactory.scala:35)
> 	at org.apache.spark.broadcast.HttpBroadcastFactory.newBroadcast(HttpBroadcastFactory.scala:29)
> 	at org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62)
> 	at org.apache.spark.SparkContext.broadcast(SparkContext.scala:776)
> 	at org.apache.spark.rdd.HadoopRDD.<init>(HadoopRDD.scala:112)
> 	at org.apache.spark.SparkContext.hadoopRDD(SparkContext.scala:527)
> 	at org.apache.spark.api.java.JavaSparkContext.hadoopRDD(JavaSparkContext.scala:307)
> 	at org.apache.hadoop.hive.ql.exec.spark.SparkClient.createRDD(SparkClient.java:204)
> 	at org.apache.hadoop.hive.ql.exec.spark.SparkClient.execute(SparkClient.java:167)
> 	at org.apache.hadoop.hive.ql.exec.spark.SparkTask.execute(SparkTask.java:32)
> 	at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:159)
> 	at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:85)
> 	at org.apache.hadoop.hive.ql.exec.TaskRunner.run(TaskRunner.java:72)
> {code}
> NO PRECOMMIT TESTS. This is for spark branch only.



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