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Posted to issues@spark.apache.org by "Takeshi Yamamuro (Jira)" <ji...@apache.org> on 2019/12/17 13:36:00 UTC
[jira] [Commented] (SPARK-29708) Different answers in aggregates of
multiple grouping sets
[ https://issues.apache.org/jira/browse/SPARK-29708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16998229#comment-16998229 ]
Takeshi Yamamuro commented on SPARK-29708:
------------------------------------------
I'm looking into this issue, SPARK-29699, and SPARK-29701.
> Different answers in aggregates of multiple grouping sets
> ---------------------------------------------------------
>
> Key: SPARK-29708
> URL: https://issues.apache.org/jira/browse/SPARK-29708
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Takeshi Yamamuro
> Priority: Major
> Labels: correctness
>
> A query below with multiple grouping sets seems to have different answers between PgSQL and Spark;
> {code:java}
> postgres=# create table gstest4(id integer, v integer, unhashable_col bit(4), unsortable_col xid);
> postgres=# insert into gstest4
> postgres-# values (1,1,b'0000','1'), (2,2,b'0001','1'),
> postgres-# (3,4,b'0010','2'), (4,8,b'0011','2'),
> postgres-# (5,16,b'0000','2'), (6,32,b'0001','2'),
> postgres-# (7,64,b'0010','1'), (8,128,b'0011','1');
> INSERT 0 8
> postgres=# select unsortable_col, count(*)
> postgres-# from gstest4 group by grouping sets ((unsortable_col),(unsortable_col))
> postgres-# order by text(unsortable_col);
> unsortable_col | count
> ----------------+-------
> 1 | 8
> 1 | 8
> 2 | 8
> 2 | 8
> (4 rows)
> {code}
> {code:java}
> scala> sql("""create table gstest4(id integer, v integer, unhashable_col /* bit(4) */ byte, unsortable_col /* xid */ integer) using parquet""")
> scala> sql("""
> | insert into gstest4
> | values (1,1,tinyint('0'),1), (2,2,tinyint('1'),1),
> | (3,4,tinyint('2'),2), (4,8,tinyint('3'),2),
> | (5,16,tinyint('0'),2), (6,32,tinyint('1'),2),
> | (7,64,tinyint('2'),1), (8,128,tinyint('3'),1)
> | """)
> res21: org.apache.spark.sql.DataFrame = []
> scala>
> scala> sql("""
> | select unsortable_col, count(*)
> | from gstest4 group by grouping sets ((unsortable_col),(unsortable_col))
> | order by string(unsortable_col)
> | """).show
> +--------------+--------+
> |unsortable_col|count(1)|
> +--------------+--------+
> | 1| 8|
> | 2| 8|
> +--------------+--------+
> {code}
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