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Posted to issues@flink.apache.org by "Jark Wu (Jira)" <ji...@apache.org> on 2020/01/02 12:57:00 UTC
[jira] [Resolved] (FLINK-15381) INSERT INTO VALUES statement fails
if a cast project is applied
[ https://issues.apache.org/jira/browse/FLINK-15381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jark Wu resolved FLINK-15381.
-----------------------------
Resolution: Fixed
[FLINK-15381] [table-planner-blink] Fix collation derive logic on RelSubset in RelMdCollation
- 1.11.0: 6b6dfd07950a22e5de421f9712b826fe6f756ae1
- 1.10.0: 49ddaa1f5bbc12570155e24ca766228089c76016
> INSERT INTO VALUES statement fails if a cast project is applied
> ---------------------------------------------------------------
>
> Key: FLINK-15381
> URL: https://issues.apache.org/jira/browse/FLINK-15381
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Reporter: Jark Wu
> Assignee: godfrey he
> Priority: Blocker
> Labels: pull-request-available
> Fix For: 1.10.0
>
> Attachments: image-2019-12-26-14-56-00-634.png
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> The following query will fail:
> {code:scala}
> @Test
> def test(): Unit = {
> val sinkDDL =
> """
> |create table t2(
> | a int,
> | b string
> |) with (
> | 'connector' = 'COLLECTION'
> |)
> """.stripMargin
> val query =
> """
> |insert into t2 select cast(a as int), cast(b as varchar) from (values (3, 'c')) T(a,b)
> """.stripMargin
> tableEnv.sqlUpdate(sinkDDL)
> tableEnv.sqlUpdate(query)
> execJob("testJob")
> }
> {code}
> exception:
> {code}
> org.apache.flink.table.api.TableException: Cannot generate a valid execution plan for the given query:
> LogicalSink(name=[`default_catalog`.`default_database`.`t2`], fields=[a, b])
> +- LogicalProject(EXPR$0=[$0], EXPR$1=[CAST($1):VARCHAR(2147483647) CHARACTER SET "UTF-16LE" NOT NULL])
> +- LogicalValues(type=[RecordType(INTEGER a, CHAR(1) b)], tuples=[[{ 3, _UTF-16LE'c' }]])
> This exception indicates that the query uses an unsupported SQL feature.
> Please check the documentation for the set of currently supported SQL features.
> {code}
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