Very good question, Yes that does give the same problem.

Op ma 11 mrt. 2019 om 16:28 schreef Devopam Mittra <devo...@gmail.com>:

> Can you please try doing SELECT DISTINCT * FROM DELTA into a physical
> table first ?
> regards
> Dev
>
>
> On Mon, Mar 11, 2019 at 7:59 PM Patrick Duin <patd...@gmail.com> wrote:
>
>> Hi,
>>
>> I'm running into oom issue trying to do a Union all on a bunch of AVRO
>> files.
>>
>> The query is something like this:
>>
>> with gold  as ( select * from table1 where local_date=2019-01-01),
>>      delta ss ( select * from table2 where local_date=2019-01-01)
>> insert overwrite table3 PARTITION ('local_date')
>> select * from gold
>> union distinct
>> select * from delta;
>>
>> UNION ALL works. The data size is in the low gigabytes and I'm running on
>> 6 16 GB Nodes (I've tried larger and set memory settings higher but that
>> just postpones the error).
>>
>> Mappers fail with erros (stacktraces not all the same)
>>
>> 2019-03-11 13:37:22,381 ERROR [main] org.apache.hadoop.mapred.YarnChild: 
>> Error running child : java.lang.OutOfMemoryError: GC overhead limit exceeded
>>      at org.apache.hadoop.io.Text.setCapacity(Text.java:268)
>>      at org.apache.hadoop.io.Text.set(Text.java:224)
>>      at org.apache.hadoop.io.Text.set(Text.java:214)
>>      at org.apache.hadoop.io.Text.<init>(Text.java:93)
>>      at 
>> org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableStringObjectInspector.copyObject(WritableStringObjectInspector.java:36)
>>      at 
>> org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.copyToStandardObject(ObjectInspectorUtils.java:418)
>>      at 
>> org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.copyToStandardObject(ObjectInspectorUtils.java:442)
>>      at 
>> org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.copyToStandardObject(ObjectInspectorUtils.java:428)
>>      at 
>> org.apache.hadoop.hive.ql.exec.KeyWrapperFactory$ListKeyWrapper.deepCopyElements(KeyWrapperFactory.java:152)
>>      at 
>> org.apache.hadoop.hive.ql.exec.KeyWrapperFactory$ListKeyWrapper.deepCopyElements(KeyWrapperFactory.java:144)
>>      at 
>> org.apache.hadoop.hive.ql.exec.KeyWrapperFactory$ListKeyWrapper.copyKey(KeyWrapperFactory.java:121)
>>      at 
>> org.apache.hadoop.hive.ql.exec.GroupByOperator.processHashAggr(GroupByOperator.java:805)
>>      at 
>> org.apache.hadoop.hive.ql.exec.GroupByOperator.processKey(GroupByOperator.java:719)
>>      at 
>> org.apache.hadoop.hive.ql.exec.GroupByOperator.process(GroupByOperator.java:787)
>>      at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:897)
>>      at 
>> org.apache.hadoop.hive.ql.exec.UnionOperator.process(UnionOperator.java:148)
>>      at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:897)
>>      at 
>> org.apache.hadoop.hive.ql.exec.SelectOperator.process(SelectOperator.java:95)
>>      at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:897)
>>      at 
>> org.apache.hadoop.hive.ql.exec.TableScanOperator.process(TableScanOperator.java:130)
>>      at 
>> org.apache.hadoop.hive.ql.exec.MapOperator$MapOpCtx.forward(MapOperator.java:148)
>>      at 
>> org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:547)
>>      at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.map(ExecMapper.java:160)
>>      at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:54)
>>      at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:455)
>>      at org.apache.hadoop.mapred.MapTask.run(MapTask.java:344)
>>      at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
>>      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:1844)
>>      at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:169)
>>
>> I've tried Hive 2.3.2 and Hive 2.3.4, both tez and mr engines.
>>
>> I've tried running with more and less mappers, always hitting oom.
>>
>> I'm running similar query on different (much larger) data without issues so 
>> suspect something with the actual data.
>>
>> The table schema is this:
>> c1    string                 
>> c2    bigint                 
>> c3    array<map<string,string>>      
>> local_date  string
>>
>>
>> I've narrowed it down and (not surprisingly) the 3rd column seems to be the 
>> cause of the issue, If I remove that the union works again just fine.
>>
>> Anyone has similar experiences? Perhaps any pointers on how to tackle this?
>>
>> Kind regards,
>>
>>  Patrick
>>
>>
>>
>
> --
> Devopam Mittra
> Life and Relations are not binary
>

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