[jira] [Assigned] (FLINK-33233) Null point exception when non-native udf used in join condition

["Benchao Li (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-33233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Benchao Li reassigned FLINK-33233:
----------------------------------

    Assignee: yunfan

> Null point exception when non-native udf used in join condition
> ---------------------------------------------------------------
>
>                 Key: FLINK-33233
>                 URL: https://issues.apache.org/jira/browse/FLINK-33233
>             Project: Flink
>          Issue Type: Improvement
>          Components: Connectors / Hive
>    Affects Versions: 1.17.0
>            Reporter: yunfan
>            Assignee: yunfan
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.19.0
>
>
> Any non-native udf used in hive-parser join condition. 
> It will caused NullPointException.
> It can reproduced by follow code by adding this test to 
> {code:java}
> org.apache.flink.connectors.hive.HiveDialectQueryITCase{code}
>  
> {code:java}
> // Add follow code to org.apache.flink.connectors.hive.HiveDialectQueryITCase
> @Test
> public void testUdfInJoinCondition() throws Exception {
>     List<Row> result = CollectionUtil.iteratorToList(tableEnv.executeSql(
>             "select foo.y, bar.I from bar join foo on hiveudf(foo.x) = bar.I where bar.I > 1").collect());
>     assertThat(result.toString())
>             .isEqualTo("[+I[2, 2]]");
> } {code}



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