sert materializer is used to correctly the finally issue (+U, a1,
> b2, c2) in cases 2 and 3.
>
>
> Regrettably, Flink currently does not have a means of online debugging. To
> confirm the logic related to the upsert materializer, you may need to
> download the repo from the Flink r
Hello Flink Community,
In our Flink SQL job we are experiencing undesirable behavior that is
related to events reordering (more below in background section)
I have a few questions related to sink upsert materializer, the answer to
them should help me understand its capabilities:
1. Does the materi
ork with range queries as in your case.
>
> Best,
>
> Dawid
>
> [1]
> https://ci.apache.org/projects/flink/flink-docs-release-1.12/dev/table/streaming/joins.html#processing-time-temporal-join
> On 15/01/2021 09:25, Marek Maj wrote:
>
> Hi Dawid,
> thanks for your an
erica/flink-cdc-connectors
>
> [2]
> https://ci.apache.org/projects/flink/flink-docs-release-1.12/dev/table/streaming/joins.html#temporal-joins
> On 12/01/2021 16:40, Marek Maj wrote:
>
> Hello,
> I am trying to use Flink SQL api to join two tables. My stream data source
> is
Hello,
I am trying to use Flink SQL api to join two tables. My stream data source
is kafka (defined through catalog and schema registry) and my enrichment
data is located in relational database (JDBC connector). I think this setup
reflects quite common use case
Enrichment table definition looks li
Hello Flink Community,
When designing our data pipelines, we very often encounter the requirement
to stream traffic (usually from kafka) to external distributed file system
(usually HDFS or S3). This data is typically meant to be queried from
hive/presto or similar tools. Preferably data sits in c
0-205.
Checkpoint configuration: RocksDB backend, not incremental, 50s min
processing time
You can find parts of JobManager log and ErrorFile log of failed container
included below.
Any suggestions are welcome
Best regards
Marek Maj
jobmanager.log
019-09-10 16:30:28.177 INFO o.a.f.r.c.CheckpointCoordi