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https://issues.apache.org/jira/browse/HIVE-6414?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13923269#comment-13923269
]
Hive QA commented on HIVE-6414:
-------------------------------
{color:red}Overall{color}: -1 at least one tests failed
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12633208/HIVE-6414.3.patch
{color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 5371 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_bucket_num_reducers
org.apache.hive.beeline.TestSchemaTool.testSchemaInit
org.apache.hive.beeline.TestSchemaTool.testSchemaUpgrade
org.apache.hive.service.cli.TestEmbeddedThriftBinaryCLIService.testExecuteStatementAsync
{noformat}
Test results:
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1641/testReport
Console output:
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1641/console
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 4 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12633208
> ParquetInputFormat provides data values that do not match the object
> inspectors
> -------------------------------------------------------------------------------
>
> Key: HIVE-6414
> URL: https://issues.apache.org/jira/browse/HIVE-6414
> Project: Hive
> Issue Type: Bug
> Components: Serializers/Deserializers
> Affects Versions: 0.13.0
> Reporter: Remus Rusanu
> Assignee: Justin Coffey
> Labels: Parquet
> Fix For: 0.13.0
>
> Attachments: HIVE-6414.2.patch, HIVE-6414.3.patch, HIVE-6414.3.patch,
> HIVE-6414.patch
>
>
> While working on HIVE-5998 I noticed that the ParquetRecordReader returns
> IntWritable for all 'int like' types, in disaccord with the row object
> inspectors. I though fine, and I worked my way around it. But I see now that
> the issue trigger failuers in other places, eg. in aggregates:
> {noformat}
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime
> Error while processing row
> {"cint":528534767,"ctinyint":31,"csmallint":4963,"cfloat":31.0,"cdouble":4963.0,"cstring1":"cvLH6Eat2yFsyy7p"}
> at
> org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:534)
> at
> org.apache.hadoop.hive.ql.exec.mr.ExecMapper.map(ExecMapper.java:177)
> ... 8 more
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException:
> java.lang.ClassCastException: org.apache.hadoop.io.IntWritable cannot be cast
> to java.lang.Short
> at
> org.apache.hadoop.hive.ql.exec.GroupByOperator.processOp(GroupByOperator.java:808)
> at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:790)
> at
> org.apache.hadoop.hive.ql.exec.SelectOperator.processOp(SelectOperator.java:87)
> at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:790)
> at
> org.apache.hadoop.hive.ql.exec.TableScanOperator.processOp(TableScanOperator.java:92)
> at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:790)
> at
> org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:524)
> ... 9 more
> Caused by: java.lang.ClassCastException: org.apache.hadoop.io.IntWritable
> cannot be cast to java.lang.Short
> at
> org.apache.hadoop.hive.serde2.objectinspector.primitive.JavaShortObjectInspector.get(JavaShortObjectInspector.java:41)
> at
> org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.compare(ObjectInspectorUtils.java:671)
> at
> org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.compare(ObjectInspectorUtils.java:631)
> at
> org.apache.hadoop.hive.ql.udf.generic.GenericUDAFMin$GenericUDAFMinEvaluator.merge(GenericUDAFMin.java:109)
> at
> org.apache.hadoop.hive.ql.udf.generic.GenericUDAFMin$GenericUDAFMinEvaluator.iterate(GenericUDAFMin.java:96)
> at
> org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.aggregate(GenericUDAFEvaluator.java:183)
> at
> org.apache.hadoop.hive.ql.exec.GroupByOperator.updateAggregations(GroupByOperator.java:641)
> at
> org.apache.hadoop.hive.ql.exec.GroupByOperator.processHashAggr(GroupByOperator.java:838)
> at
> org.apache.hadoop.hive.ql.exec.GroupByOperator.processKey(GroupByOperator.java:735)
> at
> org.apache.hadoop.hive.ql.exec.GroupByOperator.processOp(GroupByOperator.java:803)
> ... 15 more
> {noformat}
> My test is (I'm writing a test .q from HIVE-5998, but the repro does not
> involve vectorization):
> {noformat}
> create table if not exists alltypes_parquet (
> cint int,
> ctinyint tinyint,
> csmallint smallint,
> cfloat float,
> cdouble double,
> cstring1 string) stored as parquet;
> insert overwrite table alltypes_parquet
> select cint,
> ctinyint,
> csmallint,
> cfloat,
> cdouble,
> cstring1
> from alltypesorc;
> explain select * from alltypes_parquet limit 10; select * from
> alltypes_parquet limit 10;
> explain select ctinyint,
> max(cint),
> min(csmallint),
> count(cstring1),
> avg(cfloat),
> stddev_pop(cdouble)
> from alltypes_parquet
> group by ctinyint;
> select ctinyint,
> max(cint),
> min(csmallint),
> count(cstring1),
> avg(cfloat),
> stddev_pop(cdouble)
> from alltypes_parquet
> group by ctinyint;
> {noformat}
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