Takeshi Yamamuro created SPARK-29704:
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Summary: Support the combinations of grouping operations
Key: SPARK-29704
URL: https://issues.apache.org/jira/browse/SPARK-29704
Project: Spark
Issue Type: Sub-task
Components: SQL
Affects Versions: 3.0.0
Reporter: Takeshi Yamamuro
PgSQL can accept a query below with the combinations of grouping operations,
but Spark cannot;
{code}
postgres=# create table gstest2 (a integer, b integer, c integer, d integer, e
integer, f integer, g integer, h integer);
ERROR: relation "gstest2" already exists
postgres=# insert into gstest2 values
postgres-# (1, 1, 1, 1, 1, 1, 1, 1),
postgres-# (1, 1, 1, 1, 1, 1, 1, 2),
postgres-# (1, 1, 1, 1, 1, 1, 2, 2),
postgres-# (1, 1, 1, 1, 1, 2, 2, 2),
postgres-# (1, 1, 1, 1, 2, 2, 2, 2),
postgres-# (1, 1, 1, 2, 2, 2, 2, 2),
postgres-# (1, 1, 2, 2, 2, 2, 2, 2),
postgres-# (1, 2, 2, 2, 2, 2, 2, 2),
postgres-# (2, 2, 2, 2, 2, 2, 2, 2);
INSERT 0 9
postgres=# select a, b, c, d from gstest2 group by rollup(a,b),grouping
sets(c,d);
a | b | c | d
---+---+---+---
1 | 2 | 2 |
1 | 1 | 2 |
1 | 1 | 1 |
2 | 2 | 2 |
1 | | 1 |
2 | | 2 |
1 | | 2 |
| | 2 |
| | 1 |
1 | 2 | | 2
1 | 1 | | 2
1 | 1 | | 1
2 | 2 | | 2
1 | | | 1
2 | | | 2
1 | | | 2
| | | 2
| | | 1
(18 rows)
{code}
scala> sql("""select a, b, c, d from gstest2 group by rollup(a,b),grouping
sets(c,d)""").show
org.apache.spark.sql.catalyst.parser.ParseException:
mismatched input 'sets' expecting {<EOF>, ',', '.', '[', 'AND', 'BETWEEN',
'CLUSTER', 'DISTRIBUTE', 'EXCEPT', 'GROUPING', 'HAVING', 'IN', 'INTERSECT',
'IS', 'LIKE', 'LIMIT', NOT, 'OR', 'ORDER', RLIKE, 'MINUS', 'SORT', 'UNION',
'WINDOW', 'WITH', EQ, '<=>', '<>', '!=', '<', LTE, '>', GTE, '+', '-', '*',
'/', '%', 'DIV', '&', '|', '||', '^'}(line 1, pos 61)
== SQL ==
select a, b, c, d from gstest2 group by rollup(a,b),grouping sets(c,d)
-------------------------------------------------------------^^^
at
org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:268)
at
org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:135)
at
org.apache.spark.sql.execution.SparkSqlParser.parse(SparkSqlParser.scala:48)
at
org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parsePlan(ParseDriver.scala:85)
at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:605)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:605)
... 47 elided
{code}
{code}
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