thanks for reply, I used Antlr to implement the JOIN operation, if calcite
could support join the stream and rpc together, it will easier to achieve the
sample build MLOps tasks.
On 2024/01/11 09:06:11 Alessandro Solimando wrote:
> Hello,
> not sure if it's not possible but the task at hand see
I fixed the checker framework problems. One of the last ones - continuous
integration - ran out of memory. Is that flakiness or something I need to fix?
Thanks,
-Paul
On Monday, January 8, 2024 at 05:41:30 PM EST, Julian Hyde
wrote:
I see two failures due to checkerframework. Those are re
Tanner Clary created CALCITE-6196:
-
Summary: Remove OVER requirement for BigQuery PERCENTILE_CONT/DISC
Key: CALCITE-6196
URL: https://issues.apache.org/jira/browse/CALCITE-6196
Project: Calcite
Hello,
not sure if it's not possible but the task at hand seems like a good fit
for streaming engines like Apache Flink or Apache Spark.
Any specific reasons for not using them and trying to achieve this via
Calcite?
Just for reference, Apache Flink uses Calcite for query planning.
Best regards,
> 下面是被转发的邮件：
>
> 发件人: 李治
> 主题: [Question] is there any way to join stream table and http request table
> use apache calcite framework?
> 日期: 2024年1月11日 GMT+8 16:06:49
> 收件人: dev-subscr...@calcite.apache.org
>
> I would like to join kafka stream table and http request
> table(https://github.c
You could use the new client side load balancing feature in Avatica, which
solves the stickiness problem.
See https://issues.apache.org/jira/browse/CALCITE-5581
On Thu, Jan 11, 2024 at 7:31 AM Sophie Wang
wrote:
> Hi Calcite Devs,
>
> Happy new year! Hope you’re all well.
>
> I have a question
