You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Yian Liou (Jira)" <ji...@apache.org> on 2020/12/09 20:50:00 UTC
[jira] [Created] (SPARK-33726) Duplicate field names causes wrong
answers during aggregation
Yian Liou created SPARK-33726:
---------------------------------
Summary: 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: 3.0.1, 2.4.4
Reporter: Yian Liou
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: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org