我已经尝试解决这个问题:
无法执行SQL语句。原因:org.apache.flink.table.api.TableException:Match Recognition不支持使用由节点Join(joinType=[InnerJoin],其中=[(id=eventReference_id(],select=[type,id,isFired,eventMrid,createDateTime,eventReference_id],leftInputSpec=[JoinKeyContainsUniqueKey],rightInputSpec=[NoUniqueKey】(生成的更新和删除更改
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
> ;
但当我使用match_recognize:时,我发现了这个问题
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])
您的临时视图event_with_eventReference
会产生一个变更日志流,其中可能会因为联接而发生撤回和删除。您可以在上找到更多信息https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/concepts/dynamic_tables/#table-流转换
MATCH_RECOGNIZE不支持撤回和删除,它需要一个仅追加的流。
我相信,如果在创建视图时使用查找联接,最终会得到一个仅附加流。看见https://nightlies.apache.org/flink/flink-docs-stable/docs/dev/table/sql/queries/joins/#lookup-加入了解详细信息