Franck Tago created SPARK-17758:
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Summary: Spark Aggregate function LAST returns null on an empty
partition
Key: SPARK-17758
URL: https://issues.apache.org/jira/browse/SPARK-17758
Project: Spark
Issue Type: Bug
Components: Input/Output
Affects Versions: 2.0.0
Environment: Spark 2.0.0
Reporter: Franck Tago
My Environment
Spark 2.0.0
I have included the physical plan of my application below.
Issue description
The result from a query that uses the LAST function are incorrect.
The output obtained for the column that corresponds to the last function is
null .
My input data contain 3 rows .
The application resulted in 2 stages
The first stage consisted of 3 tasks .
The first task/partition contains 2 rows
The second task/partition contains 1 row
The last task/partition contain 0 rows
The result from the query executed for the LAST column call is NULL which I
believe is due to the PARTIAL_LAST on the last partition .
I believe that this behavior is incorrect. The PARTIAL_LAST call on an empty
partition should not return null .
== Physical Plan ==
InsertIntoHiveTable MetastoreRelation default, bdm_3449_tgt20, true, false
+- *Project [last(C3_1)#51 AS field#102, cast(round(max(C3_0)#50, 0) as int) AS
field1#103, cast(round(max(C3_0)#50, 0) as int) AS field2#104]
+- SortAggregate(key=[], functions=[max(C3_0#40),last(C3_1#41, false)],
output=[max(C3_0)#50,last(C3_1)#51])
+- SortAggregate(key=[],
functions=[partial_max(C3_0#40),partial_last(C3_1#41, false)],
output=[max#91,last#92])
+- *Project [CAST(sum(C1_0) AS DOUBLE)#27 AS C3_0#40, last(C1_1)#28 AS
C3_1#41]
+- SortAggregate(key=[], functions=[sum(cast(C1_0#17 as
bigint)),last(C1_1#18, false)], output=[CAST(sum(C1_0) AS
DOUBLE)#27,last(C1_1)#28])
+- Exchange SinglePartition
+- SortAggregate(key=[], functions=[partial_sum(cast(C1_0#17
as bigint)),partial_last(C1_1#18, false)], output=[sum#95L,last#96])
+- *Project [field1#7 AS C1_0#17, field#6 AS C1_1#18]
+- HiveTableScan [field1#7, field#6], MetastoreRelation
default, bdm_3449_src, alias
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