Hi LakeShen,
I'm sorry there is no such configuration for json format currently.
I think it makes sense to add such configuration like
'format.ignore-parse-errors' in csv format.
I created FLINK-15396[1] to track this.
Best,
Jark
[1]:
https://issues.apache.org/jira/browse/FLINK-15396On Thu, 26 Dec 2019 at 11:44, LakeShen <
[hidden email]> wrote:
> Hi community,when I write the flink ddl sql like this:
>
> CREATE TABLE kafka_src (
> id varchar,
> a varchar,
> b TIMESTAMP,
> c TIMESTAMP
> )
> with (
> ...
> 'format.type' = 'json',
> 'format.property-version' = '1',
> 'format.derive-schema' = 'true',
> 'update-mode' = 'append'
> );
>
> If the message is not the json format ,there is a error in the log。
> My question is that how to deal with the message which it not json format?
> My thought is that I can catch the exception
> in JsonRowDeserializationSchema deserialize() method,is there any
> parameters to do this?
> Thanks your replay.
>
>