Takeshi Yamamuro created SPARK-29705:
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Summary: Support more expressive forms in GroupingSets/Cube/Rollup
Key: SPARK-29705
URL: https://issues.apache.org/jira/browse/SPARK-29705
Project: Spark
Issue Type: Sub-task
Components: SQL
Affects Versions: 3.0.0
Reporter: Takeshi Yamamuro
{code:java}
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, grouping(a,b), sum(c), count(*), max(c) from gstest2
group by rollup ((a,b,c),(c,d));
a | b | grouping | sum | count | max
---+---+----------+-----+-------+-----
| | 3 | 24 | 18 | 2
1 | 1 | 0 | 4 | 2 | 2
1 | 2 | 0 | 4 | 2 | 2
1 | 1 | 0 | 2 | 2 | 1
2 | 2 | 0 | 4 | 2 | 2
1 | 1 | 0 | 10 | 10 | 1
1 | 2 | 0 | 4 | 2 | 2
1 | 1 | 0 | 12 | 12 | 1
1 | 1 | 0 | 4 | 2 | 2
2 | 2 | 0 | 4 | 2 | 2
(10 rows)
{code}
{code:java}
scala> sql("""select a, b, grouping(a,b), sum(c), count(*), max(c) from gstest2
group by rollup ((a,b,c),(c,d))""").show
org.apache.spark.sql.AnalysisException: Invalid number of arguments for
function grouping. Expected: 1; Found: 2; line 1 pos 13
at
org.apache.spark.sql.catalyst.analysis.FunctionRegistry$.$anonfun$expression$8(FunctionRegistry.scala:614)
at scala.Option.getOrElse(Option.scala:189)
at
org.apache.spark.sql.catalyst.analysis.FunctionRegistry$.$anonfun$expression$4(FunctionRegistry.scala:598)
at
org.apache.spark.sql.catalyst.analysis.SimpleFunctionRegistry.lookupFunction(FunctionRegistry.scala:121)
at
org.apache.spark.sql.catalyst.catalog.SessionCatalog.lookupFunction(SessionCatalog.scala:1375)
at
org.apache.spark.sql.hive.HiveSessionCatalog.super$lookupFunction(HiveSessionCatalog.scala:132)
at
org.apache.spark.sql.hive.HiveSessionCatalog.$anonfun$lookupFunction0$2(HiveSessionCatalog.scala:132)
at scala.util.Try$.apply(Try.scala:213)
{code}
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