Thanks Matthias for pointing us to the links, we will definitely follow those.
*Regards* *Akshay Agarwal* On Thu, Aug 26, 2021 at 6:43 PM Matthias Pohl <matth...@ververica.com> wrote: > Hi Akshay, > thanks for reaching out to the community. There was a similar question on > the mailing list earlier this month [1]. Unfortunately, it just doesn't > seem to be supported, yet. The feature request was already created with > FLINK-23589 [2]. > > Best, > Matthias > > [1] > https://lists.apache.org/thread.html/r463f748358202d207e4bf9c7fdcb77e609f35bbd670dbc5278dd7615%40%3Cuser.flink.apache.org%3E > [2] https://issues.apache.org/jira/browse/FLINK-23589 > > On Thu, Aug 26, 2021 at 11:07 AM Akshay Agarwal < > akshay.agar...@grofers.com> wrote: > >> Hi everyone, >> >> We are trying out flink 1.13.1 with kafka topics as avro backend but we >> are facing an issue while creating Table SQL that avro doesn't support >> precision greater than 3. I am not getting the reason why flink isn't >> supporting timestamps greater than 3 (exception >> <https://github.com/apache/flink/blob/3555741a12ba9fb65e8db9f731a131ab39d1cfe8/flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/typeutils/AvroSchemaConverter.java#L359>) >> as avro(1.10.0) does support microseconds precision. >> Our kafka records contain a timestamp as YYYY-MM-DD'T'HH-mm-ss.SSSSSS'Z'. >> Eventually I have read the records as a custom UDF which drops seconds >> offset but wanted to know if there is a better way to handle this also the >> reason why isn't it's supported. It would be a great help for us to know >> about it and we can build on that. >> >> *Regards* >> *Akshay Agarwal* >> >> [image: https://grofers.com] <https://grofers.com> > > -- <https://grofers.com>
