Hello,
I have a table in cassandra, and I use the driver hive-cassandra to do selects over it. This is the table
CREATE TABLE table1 ( campaign_id text, sid text, name text, ts timestamp, PRIMARY KEY (campaign_id, sid) ) WITH CLUSTERING ORDER BY (sid ASC)
And I have only 3 partitions
At the moment to query my table using hive like that
hive -e "select count(*) from table1;"
I got this error
Status: Failed Vertex failed, vertexName=Map 1, vertexId=vertex_1474275943985_0179_1_00, diagnostics=[Task failed, taskId=task_1474275943985_0179_1_00_000001, diagnostics=[TaskAttempt 0 failed, info=[Error: Failure while running task:java.lang.RuntimeException: org.apache.tez.dag.api.TezUncheckedException: Expected length: 12416 actual length: 9223372036854775711 at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:171) at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.run(TezProcessor.java:137) at org.apache.tez.runtime.LogicalIOProcessorRuntimeTask.run(LogicalIOProcessorRuntimeTask.java:344) at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:179) at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:171) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657) at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:171) at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:167) at org.apache.tez.common.CallableWithNdc.call(CallableWithNdc.java:36) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.tez.dag.api.TezUncheckedException: Expected length: 12416 actual length: 9223372036854775711 at org.apache.hadoop.mapred.split.TezGroupedSplit.readFields(TezGroupedSplit.java:128) at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:71) at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:42) at org.apache.tez.mapreduce.hadoop.MRInputHelpers.createOldFormatSplitFromUserPayload(MRInputHelpers.java:177) at org.apache.tez.mapreduce.lib.MRInputUtils.getOldSplitDetailsFromEvent(MRInputUtils.java:136) at org.apache.tez.mapreduce.input.MRInput.initFromEventInternal(MRInput.java:643) at org.apache.tez.mapreduce.input.MRInput.initFromEvent(MRInput.java:621) at org.apache.tez.mapreduce.input.MRInputLegacy.checkAndAwaitRecordReaderInitialization(MRInputLegacy.java:145) at org.apache.tez.mapreduce.input.MRInputLegacy.init(MRInputLegacy.java:109) at org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor.getMRInput(MapRecordProcessor.java:390) at org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor.init(MapRecordProcessor.java:128) at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:147) ... 14 more
So far I understand that in readfields we are getting more data that we are expecting. But considering the size of the table, I dont think the data is a problem.
@Constantin Stanca has helped me trying to find the problem, I am re lauching the subjet 🙂
Another thing to add is that if I do select * it works perfectly fine with tez 🙂 . Using the engine mp, select count(*) and select * works fine also.
We are using hortonworks version 2.3.2
