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roberto sancho rojas commented on SPARK-15482: ---------------------------------------------- I have the same problem, whe i execute this code from spark 1.6 and HDP 2.4.0.0-169 and PHOENIX 2.4.0 df = sqlContext.read \ .format("org.apache.phoenix.spark") \ .option("table", "TABLA") \ .option("zkUrl", "XXXXXXX:/hbase-unsecure") \ .load() df.show() Caused by: java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.GenericMutableRow cannot be cast to org.apache.spark.sql.Row at org.apache.spark.sql.SQLContext$$anonfun$6.apply(SQLContext.scala:492) here my claspathh: /usr/hdp/2.4.0.0-169/phoenix/lib/phoenix-spark-4.4.0.2.4.0.0-169.jar:/usr/hdp/2.4.0.0-169/phoenix/lib/hbase-client.jar:/usr/hdp/2.4.0.0-169/phoenix/lib/hbase-common.jar:/usr/hdp/2.4.0.0-169/phoenix/lib/phoenix-core-4.4.0.2.4.0.0-169.jar:/usr/hdp/2.4.0.0-169/phoenix/lib/hbase-protocol.jar:/usr/hdp/current/hbase-client/lib/hbase-server.jar > ClassCast exception when join two tables. > ----------------------------------------- > > Key: SPARK-15482 > URL: https://issues.apache.org/jira/browse/SPARK-15482 > Project: Spark > Issue Type: Bug > Components: SQL > Environment: Phoenix: 1.2 > Spark: 1.5.0-cdh5.5.1 > Reporter: jingtao > > I have two tables A and B in Phoenix. > I load table 'A' as dataFrame 'ADF' using spark , and register dataFrame > ''ADF'' as temp table 'ATEMPTABLE'. > B is the same as A. > A --> ADF ---> ATEMPTABLE > B --> BDF ---> BTEMPTABLE > Then, i joins the two temp table 'ATEMPTABLE' and 'BTEMPTABLE' using spark > sql. > Such as 'select count(*) from ATEMPTABLE join BTEMPTABLE on ...' > It errors with the following message: > org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in > stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 > (TID 6, hadoop05): java.lang.ClassCastException: > org.apache.spark.sql.catalyst.expressions.GenericMutableRow cannot be cast to > org.apache.spark.sql.Row > at > org.apache.spark.sql.SQLContext$$anonfun$7.apply(SQLContext.scala:445) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at > org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.insertAll(BypassMergeSortShuffleWriter.java:99) > at > org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1294) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1282) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1281) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1281) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1507) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1469) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1850) > at > org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:215) > at > org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:207) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) > at > org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904) > at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385) > at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1315) > at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1378) > at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:178) > at org.apache.spark.sql.DataFrame.show(DataFrame.scala:402) > at org.apache.spark.sql.DataFrame.show(DataFrame.scala:363) > at org.apache.spark.sql.DataFrame.show(DataFrame.scala:371) > at > $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:29) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:34) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:38) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:40) > at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:42) > at $iwC$$iwC$$iwC$$iwC.<init>(<console>:44) > at $iwC$$iwC$$iwC.<init>(<console>:46) > at $iwC$$iwC.<init>(<console>:48) > at $iwC.<init>(<console>:50) > at <init>(<console>:52) > at .<init>(<console>:56) > at .<clinit>(<console>) > at .<init>(<console>:7) > at .<clinit>(<console>) > at $print(<console>) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) > at > org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340) > at > org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) > at > org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857) > at > org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) > at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814) > at > org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657) > at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665) > at > org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) > at > scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) > at > org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945) > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059) > at org.apache.spark.repl.Main$.main(Main.scala:31) > at org.apache.spark.repl.Main.main(Main.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) > at > org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > Caused by: java.lang.ClassCastException: > org.apache.spark.sql.catalyst.expressions.GenericMutableRow cannot be cast to > org.apache.spark.sql.Row > at > org.apache.spark.sql.SQLContext$$anonfun$7.apply(SQLContext.scala:445) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at > org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.insertAll(BypassMergeSortShuffleWriter.java:99) > at > org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > Is there any way to solve it > Thanks very much. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: 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