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https://issues.apache.org/jira/browse/FLINK-33365?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17780403#comment-17780403
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david radley commented on FLINK-33365:
--------------------------------------
[~macdoor615] I notice that I can run
JdbcDynamicTableSourceITCase method , testLookupJoin in my Intellij workspace,
and then choose mySQL as the implmentation.
As is this runs correctly.
I then change the select to something like your failing case:
_List<Row> collected =_
_executeQuery(_
_"SELECT S.id, S.name, D.id, D.timestamp6_col, D.decimal_col FROM value_source"_
_+ " AS S JOIN jdbc_lookup for system_time as of S.proctime AS D ON S.id = D.id
AND S.id = 2");_
and rerun the test, it fails with error:
org.apache.flink.table.api.TableException: Temporal table join requires an
equality condition on fields of table
[default_catalog.default_database.jdbc_lookup].
There are some hits in google indicating that this is a restriction for
temporal table joins. This Exception comes from a validate
method in commonExecLookupJoin.java.
Do you think this test is representative of your case? If not we can try other
selects here, I have tried a few variants.
I am going to see if this happens at the back level version of the JDBC
connector.
> Missing filter condition in execution plan containing lookup join with mysql
> jdbc connector
> -------------------------------------------------------------------------------------------
>
> Key: FLINK-33365
> URL: https://issues.apache.org/jira/browse/FLINK-33365
> Project: Flink
> Issue Type: Bug
> Components: Connectors / JDBC
> Affects Versions: 1.18.0, 1.17.1
> Environment: Flink 1.17.1 & Flink 1.18.0 with
> flink-connector-jdbc-3.1.1-1.17.jar
> Reporter: macdoor615
> Assignee: david radley
> Priority: Critical
>
> create table in flink with sql-client.sh
> {code:java}
> CREATE TABLE default_catalog.default_database.a (
> ip string,
> proctime as proctime()
> )
> WITH (
> 'connector' = 'datagen'
> );{code}
> create table in mysql
> {code:java}
> create table b (
> ip varchar(20),
> type int
> ); {code}
>
> Flink 1.17.1/ 1.18.0 and *flink-connector-jdbc-3.1.1-1.17.jar*
> excute in sql-client.sh
> {code:java}
> explain SELECT * FROM default_catalog.default_database.a left join
> bnpmp_mysql_test.gem_tmp.b FOR SYSTEM_TIME AS OF a.proctime on b.type = 0 and
> a.ip = b.ip; {code}
> get the execution plan
> {code:java}
> ...
> == Optimized Execution Plan ==
> Calc(select=[ip, PROCTIME_MATERIALIZE(proctime) AS proctime, ip0, type])
> +- LookupJoin(table=[bnpmp_mysql_test.gem_tmp.b], joinType=[LeftOuterJoin],
> lookup=[ip=ip], select=[ip, proctime, ip, CAST(0 AS INTEGER) AS type, CAST(ip
> AS VARCHAR(2147483647)) AS ip0])
> +- Calc(select=[ip, PROCTIME() AS proctime])
> +- TableSourceScan(table=[[default_catalog, default_database, a]],
> fields=[ip]){code}
>
> excute same sql in sql-client with Flink 1.17.1/ 1.18.0 and
> *flink-connector-jdbc-3.0.0-1.16.jar*
> get the execution plan
> {code:java}
> ...
> == Optimized Execution Plan ==
> Calc(select=[ip, PROCTIME_MATERIALIZE(proctime) AS proctime, ip0, type])
> +- LookupJoin(table=[bnpmp_mysql_test.gem_tmp.b], joinType=[LeftOuterJoin],
> lookup=[type=0, ip=ip], where=[(type = 0)], select=[ip, proctime, ip, CAST(0
> AS INTEGER) AS type, CAST(ip AS VARCHAR(2147483647)) AS ip0])
> +- Calc(select=[ip, PROCTIME() AS proctime])
> +- TableSourceScan(table=[[default_catalog, default_database, a]],
> fields=[ip]) {code}
> with flink-connector-jdbc-3.1.1-1.17.jar, the condition is
> *lookup=[ip=ip]*
> with flink-connector-jdbc-3.0.0-1.16.jar , the condition is
> *lookup=[type=0, ip=ip], where=[(type = 0)]*
>
> In out real world production environment, this lead incorrect data output
>
>
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