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Hi hjw
To rescale data for dim join, I think you can use `partition by` in sql
before `dim join` which will redistribute data by specific column. In
addition, you can add cache for `dim table` to improve performance too.
Best,
Shammon FY
On Tue, Apr 4, 2023 at 10:28 AM Hang Ruan wrote:
> Hi,
Hi, hiw,
IMO, I think the parallelism 1 is enough for you job if we do not consider
the sink. I do not know why you need set the lookup join operator's
parallelism to 6.
The SQL planner will help us to decide the type of the edge and we can not
change it.
Maybe you could share the Execution graph
Thanks for bringing this up.
I'm currently using Statefun, and I've made a few small code contributions
over time. All of my PRs have been merged into master and most have been
released, but a few haven't been part of a release yet. Most recently, I
helped upgrade Statefun to be compatible with
For example. I create a kafka source to subscribe the topic that have one
partition and set the default parallelism of the job to 6.The next operator of
kafka source is that lookup join a mysql table.However, the relationship
between the kafka Source and the Lookup join operator is Forward,
Hi everyone,
As a fresh start of the Flink release 1.18, I'm happy to share with you
that the first release sync meeting of 1.18 will happen tomorrow on
Tuesday, April 4th at 10am (UTC+2) / 4pm (UTC+8). Welcome and feel free to
join us and share your ideas about the new release cycle!
Details of
Hi everyone,
As a fresh start of the Flink release 1.18, I'm happy to share with you
that the first release sync meeting of 1.18 will happen tomorrow on
Tuesday, April 4th at 10am (UTC+2) / 4pm (UTC+8). Welcome and feel free to
join us and share your ideas about the new release cycle!
Details of
Hi everyone,
I want to open a discussion on the status of the Statefun Project [1] in
Apache Flink. As you might have noticed, there hasn't been much development
over the past months in the Statefun repository [2]. There is currently a
lack of active contributors and committers who are able to
The Apache Flink community is very happy to announce the release of Apache
flink-connector-aws v4.1.0
Apache Flink® is an open-source stream processing framework for
distributed, high-performing, always-available, and accurate data streaming
applications.
The release is available for download
The Apache Flink community is very happy to announce the release of Apache
flink-connector-mongodb v1.0.0
Apache Flink® is an open-source stream processing framework for
distributed, high-performing, always-available, and accurate data streaming
applications.
The release is available for
Hi, christopher,
I think there is already about the ExecutionConfig for new Sink API in
the FLIP-287[1]. What we actually need is a read-only ExecutionConfig for
Source API and Sink API.
Maybe we could continue to discuss this topic under FLIP-287.
Best,
Hang
[1]
I agree with you. It's quite useful to access the ExecutionConfig in
Source API. When I develop the flink-connector-pulsar. The only
configuration that I can't access is the checkpoint configure which is
defined in ExecutionConfig. I can switch the behavior automatically by
the checkpoint switch.
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