徐州州 created FLINK-22826:
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Summary: link sql1.13.1基于change log流数据join导致数据丢失
Key: FLINK-22826
URL:
https://issues.apache.org/jira/browse/FLINK-22826 Project: Flink
Issue Type: Bug
Components: Table SQL / API
Affects Versions: 1.13.1, 1.12.0
Reporter: 徐州州
{code:java}
insert into dwd_order_detail
select
ord.Id,
ord.Code,
Status
concat(cast(ord.Id as String),if(oed.Id is null,'oed_null',cast(oed.Id as STRING)),DATE_FORMAT(LOCALTIMESTAMP,'yyyy-MM-dd')) as uuids,
TO_DATE(DATE_FORMAT(LOCALTIMESTAMP,'yyyy-MM-dd')) as As_Of_Date
from
orders ord
left join order_extend oed on ord.Id=oed.OrderId and oed.IsDeleted=0 and oed.CreateTime>CAST(DATE_FORMAT(LOCALTIMESTAMP,'yyyy-MM-dd') AS TIMESTAMP)
where ( ord.OrderTime>CAST(DATE_FORMAT(LOCALTIMESTAMP,'yyyy-MM-dd') AS TIMESTAMP)
or ord.ReviewTime>CAST(DATE_FORMAT(LOCALTIMESTAMP,'yyyy-MM-dd') AS TIMESTAMP)
or ord.RejectTime>CAST(DATE_FORMAT(LOCALTIMESTAMP,'yyyy-MM-dd') AS TIMESTAMP)
) and ord.IsDeleted=0;
{code}
My upsert-kafka table for PRIMARY KEY for uuids.
This is the logic of my kafka based canal-json stream data join and write to Upsert-kafka tables I confirm that version 1.12 also has this problem I just upgraded from 1.12 to 1.13.
I look up a user s order data and order number XJ0120210531004794 in canal-json original table as U which is normal.
{code:java}
| +U | XJ0120210531004794 | 50 |
| +U | XJ0120210531004672 | 50 |
{code}
But written to upsert-kakfa via join, the data consumed from upsert kafka is,
{code:java}
| +I | XJ0120210531004794 | 50 |
| -U | XJ0120210531004794 | 50 |
{code}
The order is two records this sheet in orders and order_extend tables has not changed since created -U status caused my data loss not computed and the final result was wrong.
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