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Posted to issues@flink.apache.org by "Jacky Lau (Jira)" <ji...@apache.org> on 2024/03/08 03:23:00 UTC
[jira] [Commented] (FLINK-31663) Add ARRAY_EXCEPT supported in SQL & Table API
[ https://issues.apache.org/jira/browse/FLINK-31663?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17824607#comment-17824607 ]
Jacky Lau commented on FLINK-31663:
-----------------------------------
hi [~dwysakowicz] [~hanyuzheng] [~luoyuxia] , i found the result is not correct.
the pr description is [https://github.com/apache/flink/pull/22588]
we can see it is not contain duplicates, which is same result with spark [https://spark.apache.org/docs/latest/api/sql/index.html#array_except]
but the code logic is contain duplicates. and i think we should align with spark.
Since the behavior of array_union is already aligned with Spark's, if we don't align here, the logic of the entire function would seem inconsistent. What do you think?
{code:java}
Flink SQL> SELECT array_except(array[1,2,2], array[2,3,4]);
[1]
Flink SQL> SELECT array_except(array[1,2,2], array[1]);
[2]
Flink SQL> SELECT array_except(array[1,2,2], array[42]);
[1, 2] {code}
> Add ARRAY_EXCEPT supported in SQL & Table API
> ---------------------------------------------
>
> Key: FLINK-31663
> URL: https://issues.apache.org/jira/browse/FLINK-31663
> Project: Flink
> Issue Type: Sub-task
> Components: Table SQL / API
> Reporter: luoyuxia
> Assignee: Hanyu Zheng
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.20.0
>
>
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