Thanks for the jira link.
Actually my comment in the initial email "In Java DataStream API, you can
easily do so within flink topology without having to create a separate
kafka topic: " is incorrect.
I took a closer look and realized Flink Java DataStream also does not
support redefining Timesta
I think it's not a good idea to defining a watermark on a view, because
currently the view is only a set of SQL query text in Flink , and a query
should not contain a watermark definition. You can see the discussion here:
https://issues.apache.org/jira/browse/FLINK-22804
Maybe you can open a jir
Hi Shengkai,
Thank you for the reply.
The UDF getEventTimeInNS uses timestamps of both streamA and streamB to
calculate the true event time for streamB events.
For illustrating purpose, we can consider it to be like this:
public Long eval(
Long baseTimeStampFromA,
Long timestamp
Hi,
The watermark of the join operator is the minimum of the watermark of the
input streams.
```
JoinOperator.watermark = min(left.watermark, right.watermark);
```
I think it's enough for most cases. Could you share more details about the
logic in the UDF getEventTimeInNS?
I think the better s
Hi Flink community,
*Here is the context: *
Theoretically, I would like to write following query but it won't work
since we can only define the WATERMARK in a table DDL:
INSERT into tableC
select tableA.field1
SUM(1) as `count`,
time_ltz AS getEventTimeInNS(tableA.timestamp, tab
