[
https://issues.apache.org/jira/browse/SPARK-33726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wenchen Fan updated SPARK-33726:
--------------------------------
Fix Version/s: 2.4.8
> Duplicate field names causes wrong answers during aggregation
> -------------------------------------------------------------
>
> Key: SPARK-33726
> URL: https://issues.apache.org/jira/browse/SPARK-33726
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.4, 3.0.1
> Reporter: Yian Liou
> Assignee: Yian Liou
> Priority: Major
> Labels: correctness
> Fix For: 2.4.8, 3.0.2, 3.1.1
>
>
> We saw this bug at Workday.
> Duplicate field names for different fields can cause
> org.apache.spark.sql.catalyst.expressions.RowBasedKeyValueBatch#allocate to
> return a fixed batch when it should have returned a variable batch leading to
> wrong results.
> This example produces wrong results in the spark shell:
> scala> sql("with T as (select id as a, -id as x from range(3)), U as (select
> id as b, cast(id as string) as x from range(3)) select T.x, U.x, min(a) as
> ma, min(b) as mb from T join U on a=b group by U.x, T.x").show
>
> |*x*|*x*|*ma*|*mb*|
> |-2|2|0|null|
> |-1|1|null|1|
> |0|0|0|0|
> instead of correct output :
> |*x*|*x*|*ma*|*mb*|
> |0|0|0|0|
> |-2|2|2|2|
> |-1|1|1|1|
> The issue can be solved by iterating over the fields themselves instead of
> field names.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
