Yes, I added all the Hive jars present in Cloudera distribution of Hadoop.
I added them because I was getting ClassNotFoundException for many required
classes(one example stack trace below). So, someone on the community
suggested to include the hive jars:
*Exception in thread "main" java.lang.NoClassDefFoundError:
org/apache/hadoop/hive/conf/HiveConf*
* at
org.apache.spark.sql.hive.api.java.JavaHiveContext.<init>(JavaHiveContext.scala:30)*
* at HiveContextExample.main(HiveContextExample.java:57)*
* at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)*
* at
org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:331)*
* at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)*
* at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)*
*Caused by: java.lang.ClassNotFoundException:
org.apache.hadoop.hive.conf.HiveConf*
On Mon, Oct 27, 2014 at 1:57 PM, Michael Armbrust <[email protected]>
wrote:
> No such method error almost always means you are mixing different versions
> of the same library on the classpath. In this case it looks like you have
> more than one version of guava. Have you added anything to the classpath?
>
> On Mon, Oct 27, 2014 at 8:36 AM, nitinkak001 <[email protected]>
> wrote:
>
>> I am working on running the following hive query from spark.
>>
>> /"SELECT * FROM spark_poc.<table_name> DISTRIBUTE BY GEO_REGION,
>> GEO_COUNTRY
>> SORT BY IP_ADDRESS, COOKIE_ID"/
>>
>> Ran into /java.lang.NoSuchMethodError:
>>
>> com.google.common.hash.HashFunction.hashInt(I)Lcom/google/common/hash/HashCode;/
>> (complete stack trace at the bottom). Found a few mentions of this issue
>> in
>> the user list. It seems(from the below thread link) that there is a Guava
>> version incompatibility between Spark 1.1.0 and Hive which is probably
>> fixed
>> in 1.2.0.
>>
>> /
>> http://apache-spark-user-list.1001560.n3.nabble.com/Hive-From-Spark-td10110.html#a12671/
>>
>> *So, wanted to confirm, is Spark SQL 1.1.0 incompatible with Hive or is
>> there a workaround to this?*
>>
>>
>>
>> /Exception in thread "Driver" java.lang.reflect.InvocationTargetException
>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>> at
>>
>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>> at
>>
>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>> at java.lang.reflect.Method.invoke(Method.java:606)
>> at
>>
>> org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:162)
>> Caused by: java.lang.NoSuchMethodError:
>>
>> com.google.common.hash.HashFunction.hashInt(I)Lcom/google/common/hash/HashCode;
>> at
>> org.apache.spark.util.collection.OpenHashSet.org
>> $apache$spark$util$collection$OpenHashSet$$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$.estimate(SizeEstimator.scala:155)
>> at
>>
>> org.apache.spark.util.collection.SizeTracker$class.takeSample(SizeTracker.scala:78)
>> at
>>
>> org.apache.spark.util.collection.SizeTracker$class.afterUpdate(SizeTracker.scala:70)
>> at
>>
>> org.apache.spark.util.collection.SizeTrackingVector.$plus$eq(SizeTrackingVector.scala:31)
>> at
>> org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:236)
>> at
>> org.apache.spark.storage.MemoryStore.putIterator(MemoryStore.scala:126)
>> at
>> org.apache.spark.storage.MemoryStore.putIterator(MemoryStore.scala:104)
>> at
>> org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:750)
>> at
>> org.apache.spark.storage.BlockManager.putIterator(BlockManager.scala:601)
>> at
>> org.apache.spark.storage.BlockManager.putSingle(BlockManager.scala:872)
>> at
>>
>> org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:79)
>> at
>>
>> org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:68)
>> at
>>
>> org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:36)
>> at
>>
>> org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:29)
>> at
>>
>> org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62)
>> at org.apache.spark.SparkContext.broadcast(SparkContext.scala:809)
>> at
>> org.apache.spark.sql.hive.HadoopTableReader.<init>(TableReader.scala:68)
>> at
>>
>> org.apache.spark.sql.hive.execution.HiveTableScan.<init>(HiveTableScan.scala:68)
>> at
>>
>> org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188)
>> at
>>
>> org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188)
>> at
>>
>> org.apache.spark.sql.SQLContext$SparkPlanner.pruneFilterProject(SQLContext.scala:364)
>> at
>>
>> org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$.apply(HiveStrategies.scala:184)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
>> at
>>
>> org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:292)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
>> at
>>
>> org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:266)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
>> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
>> at
>>
>> org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
>> at
>>
>> org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:402)
>> at
>>
>> org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:400)
>> at
>>
>> org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:406)
>> at
>>
>> org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:406)
>> at
>>
>> org.apache.spark.sql.hive.HiveContext$QueryExecution.toRdd$lzycompute(HiveContext.scala:360)
>> at
>>
>> org.apache.spark.sql.hive.HiveContext$QueryExecution.toRdd(HiveContext.scala:360)
>> at
>> org.apache.spark.sql.SchemaRDD.getDependencies(SchemaRDD.scala:120)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:191)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:189)
>> at scala.Option.getOrElse(Option.scala:120)
>> at org.apache.spark.rdd.RDD.dependencies(RDD.scala:189)
>> at org.apache.spark.rdd.RDD.firstParent(RDD.scala:1236)
>> at
>> org.apache.spark.sql.SchemaRDD.getPartitions(SchemaRDD.scala:117)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
>> at scala.Option.getOrElse(Option.scala:120)
>> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
>> at
>> org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
>> at scala.Option.getOrElse(Option.scala:120)
>> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
>> at
>>
>> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
>> at
>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
>> at scala.Option.getOrElse(Option.scala:120)
>> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1135)
>> at org.apache.spark.rdd.RDD.collect(RDD.scala:774)
>> at
>> org.apache.spark.api.java.JavaRDDLike$class.collect(JavaRDDLike.scala:305)
>> at org.apache.spark.api.java.JavaRDD.collect(JavaRDD.scala:32)
>> at HiveContextExample.printRDD(HiveContextExample.java:77)
>> at HiveContextExample.main(HiveContextExample.java:71)
>> /
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-user-list.1001560.n3.nabble.com/Is-Spark-1-1-0-incompatible-with-Hive-tp17364.html
>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>
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>>
>
