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
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