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https://issues.apache.org/jira/browse/FLINK-16693?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17065486#comment-17065486
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Yumin Zhou commented on FLINK-16693:
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Yes, it looks like a similar issue. Pravega Flink connector is using the
descriptor API to build the BatchTableSource. In our test case, we mocked some
Json data and did some SQL queries with timestamps against the table. It
returns the similar exception when we execute the `tableEnv.toDataSet` (it's
writing into a table sink in the description). To reproduce this issue, you can
check out this pull request
[https://github.com/pravega/flink-connectors/pull/342] locally, remove the
annonation of this line
[https://github.com/pravega/flink-connectors/pull/342/files#diff-31a3db0a51eece92cbfbf79ff37387bbR246]
and run the testTableSourceUsingDescriptor() test case in
FlinkPravegaTableITCase class in your IDE.
> Legacy planner incompatible with Timestamp backed by LocalDateTime
> ------------------------------------------------------------------
>
> Key: FLINK-16693
> URL: https://issues.apache.org/jira/browse/FLINK-16693
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Legacy Planner
> Affects Versions: 1.10.0
> Reporter: Paul Lin
> Priority: Major
>
> Recently I upgraded a simple application that inserts static data into a
> table from 1.9.0 to 1.10.0, and
> encountered a timestamp type incompatibility problem during the table sink
> validation.
> The SQL is like:
> ```
> insert into kafka.test.tbl_a # schema: (user_name STRING, user_id INT,
> login_time TIMESTAMP)
> select ("ann", 1000, TIMESTAMP "2019-12-30 00:00:00")
> ```
> And the error thrown:
> ```
> Field types of query result and registered TableSink `kafka`.`test`.`tbl_a`
> do not match.
> Query result schema: [EXPR$0: String, EXPR$1: Integer, EXPR$2:
> Timestamp]
> TableSink schema: [user_name: String, user_id: Integer, login_time:
> LocalDateTime]
> ```
> After some digging, I found the root cause might be that since FLINK-14645
> timestamp fields defined via TableFactory had been bridged to LocalDateTime,
> but timestamp functions are still backed by java.sql.Timestamp.
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