[
https://issues.apache.org/jira/browse/HIVE-16257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Naveen Gangam updated HIVE-16257:
---------------------------------
Description:
This issue is highly intermittent that only seems to occurs with spark engine
when the query has a GROUPBY clause. The following is the testcase.
{code}
drop table if exists test_hos_sample;
create table test_hos_sample (name string, val1 decimal(18,2), val2
decimal(20,3));
insert into test_hos_sample values
('test1',101.12,102.123),('test1',101.12,102.123),('test2',102.12,103.234),('test1',101.12,102.123),('test3',103.52,102.345),('test3',103.52,102.345),('test3',103.52,102.345),('test3',103.52,102.345),('test3',103.52,102.345),('test4',104.52,104.456),('test4',104.52,104.456),('test5',105.52,105.567),('test3',103.52,102.345),('test5',105.52,105.567);
set hive.execution.engine=spark;
select name, val1,val2 from test_hos_sample group by name, val1, val2;
{code}
Expected Results:
{code}
name val1 val2
test5 105.52 105.567
test3 103.52 102.345
test1 101.12 102.123
test4 104.52 104.456
test2 102.12 103.234
{code}
Incorrect results once in a while:
{code}
name val1 val2
test5 105.52 105.567
test3 103.52 102.345
test1 104.52 102.123
test4 104.52 104.456
test2 102.12 103.234
{code}
1) Not reproducible with HoMR.
2) Not an issue when running from spark-shell.
3) Not reproducible when the column data type is String or double. Only
reproducible with decimal data types. Also works fine for decimal datatype if
you cast decimal as string on read and cast it back to decimal on select.
4) Occurs with parquet and text file format as well. (havent tried with other
formats).
5) Occurs in both scenarios when table data is within encryption zone and
outside.
6) Even in clusters where this is reproducible, this occurs once in like 20
times or more.
7) Occurs with both Beeline and Hive CLI.
8) Reproducible only when there is a a groupby clause.
was:
This issue is highly intermittent that only seems to occurs with spark engine.
The following is the testcase.
{code}
drop table if exists test_hos_sample;
create table test_hos_sample (name string, val1 decimal(18,2), val2
decimal(20,3));
insert into test_hos_sample values
('test1',101.12,102.123),('test1',101.12,102.123),('test2',102.12,103.234),('test1',101.12,102.123),('test3',103.52,102.345),('test3',103.52,102.345),('test3',103.52,102.345),('test3',103.52,102.345),('test3',103.52,102.345),('test4',104.52,104.456),('test4',104.52,104.456),('test5',105.52,105.567),('test3',103.52,102.345),('test5',105.52,105.567);
set hive.execution.engine=spark;
select name, val1,val2 from test_hos_sample group by name, val1, val2;
{code}
Expected Results:
{code}
name val1 val2
test5 105.52 105.567
test3 103.52 102.345
test1 101.12 102.123
test4 104.52 104.456
test2 102.12 103.234
{code}
Incorrect results once in a while:
{code}
name val1 val2
test5 105.52 105.567
test3 103.52 102.345
test1 104.52 102.123
test4 104.52 104.456
test2 102.12 103.234
{code}
1) Not reproducible with HoMR.
2) Not an issue when running from spark-shell.
3) Occurs with parquet and text file format as well. (havent tried with other
formats).
4) Occurs in both scenarios when table data is within encryption zone and
outside.
5) Even in clusters where this is reproducible, this occurs once in like 20
times or more.
6) Occurs with both beeline and Hive CLI.
> Intermittent issue with incorrect resultset with Spark
> ------------------------------------------------------
>
> Key: HIVE-16257
> URL: https://issues.apache.org/jira/browse/HIVE-16257
> Project: Hive
> Issue Type: Bug
> Components: Hive
> Affects Versions: 1.1.0
> Reporter: Naveen Gangam
>
> This issue is highly intermittent that only seems to occurs with spark engine
> when the query has a GROUPBY clause. The following is the testcase.
> {code}
> drop table if exists test_hos_sample;
> create table test_hos_sample (name string, val1 decimal(18,2), val2
> decimal(20,3));
> insert into test_hos_sample values
> ('test1',101.12,102.123),('test1',101.12,102.123),('test2',102.12,103.234),('test1',101.12,102.123),('test3',103.52,102.345),('test3',103.52,102.345),('test3',103.52,102.345),('test3',103.52,102.345),('test3',103.52,102.345),('test4',104.52,104.456),('test4',104.52,104.456),('test5',105.52,105.567),('test3',103.52,102.345),('test5',105.52,105.567);
> set hive.execution.engine=spark;
> select name, val1,val2 from test_hos_sample group by name, val1, val2;
> {code}
> Expected Results:
> {code}
> name val1 val2
> test5 105.52 105.567
> test3 103.52 102.345
> test1 101.12 102.123
> test4 104.52 104.456
> test2 102.12 103.234
> {code}
> Incorrect results once in a while:
> {code}
> name val1 val2
> test5 105.52 105.567
> test3 103.52 102.345
> test1 104.52 102.123
> test4 104.52 104.456
> test2 102.12 103.234
> {code}
> 1) Not reproducible with HoMR.
> 2) Not an issue when running from spark-shell.
> 3) Not reproducible when the column data type is String or double. Only
> reproducible with decimal data types. Also works fine for decimal datatype if
> you cast decimal as string on read and cast it back to decimal on select.
> 4) Occurs with parquet and text file format as well. (havent tried with other
> formats).
> 5) Occurs in both scenarios when table data is within encryption zone and
> outside.
> 6) Even in clusters where this is reproducible, this occurs once in like 20
> times or more.
> 7) Occurs with both Beeline and Hive CLI.
> 8) Reproducible only when there is a a groupby clause.
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