I have tried to resolve this issue :
Could not execute SQL statement. Reason: org.apache.flink.table.api.TableException: Match Recognize doesn't support consuming update and delete changes which is produced by node Join(joinType=[InnerJoin], where=[(id = eventReference_id)], select=[type, id, isFired, eventMrid, createDateTime, eventReference_id], leftInputSpec=[JoinKeyContainsUniqueKey], rightInputSpec=[NoUniqueKey])
CREATE TABLE Event (
> isFired BOOLEAN
> ,eventMrid STRING
> ,createDateTime TIMESTAMP(3)
> ,eventReference_id STRING
> ,id STRING
> ,WATERMARK FOR createDateTime AS createDateTime - INTERVAL '5' MINUTE
> ) WITH (
> 'connector' = 'kafka'
> ,'topic' = 'event'
> ,'properties.bootstrap.servers' = 'localhost:9092'
> ,'properties.group.id' = 'my-fourth-application'
> ,'scan.startup.mode' = 'latest-offset'
> ,'format' = 'json'
> );
CREATE TEMPORARY TABLE EventReference (
> category STRING
> ,commentt STRING
> ,description STRING
> ,type STRING
> , id STRING PRIMARY KEY
> )
> WITH (
> 'connector' = 'postgres-cdc',
> 'hostname' = 'localhost',
> 'port' = '5432',
> 'database-name' = 'postgres',
> 'schema-name' = 'public',
> 'table-name' = 'EventReference',
> 'username' = 'postgres',
> 'password' = 'admin',
> 'decoding.plugin.name' = 'pgoutput'
> );
CREATE TEMPORARY VIEW event_with_eventReference AS
> SELECT
> e.isFired,
> e.eventMrid,
> e.createDateTime,
> r.id AS eventReference_id,
> r.type
> FROM EventReference r
> JOIN Event e ON r.id = e.eventReference_id
> ;
But i find this issue when i used match_recognize :
SELECT * from event_with_eventReference
> MATCH_RECOGNIZE (
> PARTITION BY eventMrid
> ORDER BY createDateTime
> MEASURES
> FIRST(S.createDateTime) AS firstDateTime
> ONE ROW PER MATCH
> PATTERN (S)
> DEFINE
> S AS S.isFired = False
> );
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.table.api.TableException: Match Recognize doesn't support consuming update and delete changes which is produced by node Join(joinType=[InnerJoin], where=[(id = eventReference_id)], select=[type, id, isFired, eventMrid, createDateTime, eventReference_id], leftInputSpec=[JoinKeyContainsUniqueKey], rightInputSpec=[NoUniqueKey])
Your temporary view
event_with_eventReferenceresults in a changelog stream where retractions and deletions can happen because of the join. You can find more information on https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/concepts/dynamic_tables/#table-to-stream-conversionMATCH_RECOGNIZE doesn't support retractions and deletions, it expects an append-only stream.
I believe that if you use a lookup join when creating your view, you will end up with an append-only stream. See https://nightlies.apache.org/flink/flink-docs-stable/docs/dev/table/sql/queries/joins/#lookup-join for details