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https://issues.apache.org/jira/browse/FLINK-25641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17552514#comment-17552514
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luoyuxia commented on FLINK-25641:
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[~jingzhang] When load hive module with a higer priority to flink's module,
some function will be delegated to Hive's udaf. And for Hive's udaf , the
acc type will always be RAW for it's actually a object from Hive. Then we can't
apply hasagg, so it'll be sortagg.
> Unexpected aggregate plan after load hive module
> ------------------------------------------------
>
> Key: FLINK-25641
> URL: https://issues.apache.org/jira/browse/FLINK-25641
> Project: Flink
> Issue Type: Sub-task
> Components: Table SQL / Planner
> Reporter: Jing Zhang
> Priority: Major
> Attachments: image-2022-01-13-15-52-27-783.png,
> image-2022-01-13-15-55-40-958.png
>
>
> When using flink batch sql to run hive sql queries, we load hive module to
> use Hive built-in functions.
> However some query plan plan are unexpected after loading hive module.
> For the following sql,
> {code:sql}
> load module hive;
> use modules hive,core;
> set table.sql-dialect=hive;
> select
> account_id,
> sum(impression)
> from test_db.test_table where dt = '2022-01-10' and hi = '0100' group by
> account_id
> {code}
> The planner is:
> !image-2022-01-13-15-55-40-958.png!
> After remove 'load mudiles hive; use modules hive, core;', the planner is:
> !image-2022-01-13-15-52-27-783.png!
> After loading hive modules, hash aggregate is not final plan because the
> aggregate function is `HiveAggSqlFunction` and the aggregate buffer is not
> fixed length which type is as following:
> {code:java}
> LEGACY('RAW',
> 'ANY<org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator$AggregationBuffer>')
> {code}
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