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 <nitinkak...@gmail.com> 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. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
