Hi Seye,
It seems that you have conducted an in-depth analysis of this issue.
If you think it's a bug or need improvement. Please feel free to create a
JIRA issue to track its status.
Thanks, vino.
Seye Jin 于2018年10月14日周日 上午12:02写道:
> I recently upgraded to flink 1.4 from 1.3 and leverage
Hello Hequn,
Thanks for the answers.
Regarding question no.2, I am now clear.
Regarding question no.1, does your answer apply to those custom states as
well? This concern of mine came from Flink's implementation of CountTrigger,
in which a custom state is being cleared explicitly in
Hi Averell,
> 1. Neither PURGE nor clear() removes the States (so the States must be
explicitly cleared by the user).
Both PURGE and clear() remove state. The PURGE action removes the window
state, i.e. the aggregate value. The clear() removes the window meta data
including state in Trigger.
>
Hi Henry,
> 1. I have heard a idempotent way but I do not know how to implement it,
would you please enlighten me about it by a example?
It's a property of the result data. For example, you can overwrite old
values with new ones using a primary key.
> 2. If dirty data are *added* but not updated
Welcome to the community and thanks for the great proposal, Xuefu! I think
the proposal can be divided into 2 stages: making Flink to support Hive
features, and make Hive to work with Flink. I agreed with Timo that on
starting with a smaller scope, so we can make progress faster. As for [6],
a
Hello Fabian,
So could I assume the followings?
1. Neither PURGE nor clear() removes the States (so the States must be
explicitly cleared by the user).
2. When an event for a window arrives after PURGE has been called, it is
still be processed, and is treated as the first event of that window.
Thank you Fabian.
Tried (2), and it's working well.
I found one more benefit of (2) over (3) is that it allow me to easily raise
multiple levels of alarms for each keyed stream (i.e: minor: missed 2
cycles, major: missed 5 cycles,...)
Thanks for your help.
Regards,
Averell
--
Sent from:
I recently upgraded to flink 1.4 from 1.3 and leverage Queryable State
client in my application. I have 1 jm and 5 tm all serviced behind
kubernetes. A large state is built and distributed evenly across task
mangers and the client can query state for specified key
Issue: if a task manager dies
Thank you Xuefu, for bringing up this awesome, detailed proposal! It will
resolve lots of existing pain for users like me.
In general, I totally agree that improving FlinkSQL's completeness would be a
much better start point than building 'Hive on Flink', as the Hive community is
concerned
Any suggestions?
Thank you
Sent from my iPhone
On Oct 9, 2018, at 9:28 PM, Olga Luganska
mailto:trebl...@hotmail.com>> wrote:
Hello,
I would like to use Confluent Schema Registry in my streaming job.
I was able to make it work with the help of generic Kafka producer and
FlinkKafkaConsumer
Hi Hequn,
Thanks a lot for your response. I have a few questions about this
topic. Would you please help me about it?
1. I have heard a idempotent way but I do not know how to implement it,
would you please enlighten me about it by a example?
2. If dirty data are added
Hi Anand,
About "Cancel with savepoint" congxian is right.
And for the duplicates, You should use kafka producer transaction (since
0.11) provided EXACTLY_ONCE semantic[1].
Thanks, vino.
[1]:
https://ci.apache.org/projects/flink/flink-docs-release-1.6/dev/connectors/kafka.html#kafka-011
I’m using both a local (Unix) file system and hdfs.
I’m going to check those to get ideas, thank you!
I’m also checking the internal code of the class and my own older patch
code.
On Fri 12. Oct 2018 at 21:32, Fabian Hueske wrote:
> Hi,
>
> Which file system are you reading from? If you are
Hey,
It's the name for the whole descriptor. Not the keys, it means that no
other descriptor should be created with the same name.
Best Regards,
Dom.
Sob., 13.10.2018, 09:50 użytkownik Szymon napisał:
>
>
> Hi, i have a question about MapStateDescriptor used to create MapState.
> I have a
Hi, i have a question about MapStateDescriptor used to create MapState. I have
a keyed stream and ProcessWindowFunction where I want to use MapState. And the
question is that in MapStateDescriptor constructor public
MapStateDescriptor(String name,
ClassUK keyClass,
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