Hi Thierry,
Your case is not very complex and I believe all programming language(e.g.
Java, Python, SQL) interfaces of flink can do that.
When using pyflink, you can use pyflink datastream/table/SQL API.
Here are some examples of using pyflink table api:
https://nightlies.apache.org/flink/flink-docs-master/api/python/examples/table/basic_operations.html
https://github.com/apache/flink/blob/master/flink-python/pyflink/table/tests/test_join.py
Hope it helps!
Best,
Biao Geng
Fokou Toukam, Thierry <thierry.fokou-touka...@ens.etsmtl.ca> 于2024年4月2日周二
15:41写道：
> Hi,
>
> i have 2 streams as sean in this example (*6> {"tripId": "275118740",
> "timestamp": "2024-04-02T06:20:00Z", "stopSequence": 13, "stopId": "61261",
> "bearing": 0.0, "speed": 0.0, "vehicleId": "39006", "routeId": "747"}*
> *1> {"visibility": 10000, "weather_conditions": "clear sky", "timestamp":
> "2024-04-02T02:19:39.281768"}*) and i want to merge them based on
> timestamp value. Which flink can i use or how can i do it?
>
> Thanks!
>
> *Thierry FOKOU *| * IT M.A.Sc <http://M.A.Sc> Student*
>
>
>
>
