Congratulations Dian !
Best,
Haibo
At 2020-08-27 18:03:38, "Zhijiang" wrote:
>Congrats, Dian!
>
>
>--
>From:Yun Gao
>Send Time:2020年8月27日(星期四) 17:44
>To:dev ; Dian Fu ; user
>; user-zh
>Subject:Re: Re: [ANNOUNCE] New PMC
Congratulations Dian !
Best,
Haibo
At 2020-08-27 18:03:38, "Zhijiang" wrote:
>Congrats, Dian!
>
>
>--
>From:Yun Gao
>Send Time:2020年8月27日(星期四) 17:44
>To:dev ; Dian Fu ; user
>; user-zh
>Subject:Re: Re: [ANNOUNCE] New PMC
Congratulations Yu!
Best,
Haibo
At 2020-06-17 09:15:02, "jincheng sun" wrote:
>Hi all,
>
>On behalf of the Flink PMC, I'm happy to announce that Yu Li is now
>part of the Apache Flink Project Management Committee (PMC).
>
>Yu Li has been very active on Flink's Statebackend component,
Congratulations Yu!
Best,
Haibo
At 2020-06-17 09:15:02, "jincheng sun" wrote:
>Hi all,
>
>On behalf of the Flink PMC, I'm happy to announce that Yu Li is now
>part of the Apache Flink Project Management Committee (PMC).
>
>Yu Li has been very active on Flink's Statebackend component,
Thanks Gary & Yu. Great work!
Best,
Haibo
At 2020-02-12 21:31:00, "Yu Li" wrote:
>The Apache Flink community is very happy to announce the release of Apache
>Flink 1.10.0, which is the latest major release.
>
>Apache Flink® is an open-source stream processing framework for
>distributed,
Great news! Thanks Gordon and Kurt!Best,
Haibo
At 2019-08-22 20:03:26, "Tzu-Li (Gordon) Tai" wrote:
>The Apache Flink community is very happy to announce the release of Apache
>Flink 1.9.0, which is the latest major release.
>
>Apache Flink® is an open-source stream processing framework for
register the table when the number of elements/columns and data types are both
nondeterministic.
Correct me if I misunderstood your meaning.
Best,
Victor
From: Andres Angel
Date: Wednesday, August 7, 2019 at 9:55 PM
To: Haibo Sun
Cc: user
Subject: Re: FlatMap returning Row<&
Congratulations!
Best,
Haibo
At 2019-08-08 02:08:21, "Yun Tang" wrote:
>Congratulations Hequn.
>
>Best
>Yun Tang
>
>From: Rong Rong
>Sent: Thursday, August 8, 2019 0:41
>Cc: dev ; user
>Subject: Re: [ANNOUNCE] Hequn becomes a Flink committer
>
>Congratulations
Hi Andres Angel,
I guess people don't understand your problem (including me). I don't know if
the following sample code is what you want, if not, can you describe the
problem more clearly?
StreamExecutionEnvironment env =
StreamExecutionEnvironment.getExecutionEnvironment();
Hi alaa.abutaha,
In fact, your problem is not related to Flink, but how to specify program
parameters in Eclipse. I think the following document will help you.
https://www.cs.colostate.edu/helpdocs/cmd.pdf
Best,
Haibo
At 2019-07-26 22:02:48, "alaa" wrote:
>Hallo
> I run this example
Hi Liu Bo,
If you haven't customize serializations through the configuration item
"io.serializations", the default serializer for Writable objects is
org.apache.hadoop.io.serializer.WritableSerialization.WritableSerializer. As
you said, when WritableSerializer serialize the NullWritable
Hi Sidhartha,
Currently, the part counter is never reset to 0, nor is it allowed to customize
the part filename. So I don't think there's any way to reset it right now. I
guess the reason why it can't be reset to 0 is that it is concerned that the
previous parts will be overwritten. Although
Hi Andres Angel,
At present, there seems to be no such built-in function, and you need to
register a user-defined function to do that. You can look at the following
document to see how to do.
https://ci.apache.org/projects/flink/flink-docs-master/dev/table/udfs.html#table-functions
Best,
s in Flink ?
regards.
On Wed, Jul 24, 2019 at 3:44 PM Debasish Ghosh wrote:
Hi Haibo - Thanks for the clarification ..
regards.
On Wed, Jul 24, 2019 at 2:58 PM Haibo Sun wrote:
Hi Debasish Ghosh,
I agree that Flink should shade its Akka.
Maybe you misunderstood me. I mean, in t
o that all the
projects that use flink won't hit this kind of issue.
Haibo Sun 于2019年7月24日周三 下午4:07写道：
Hi, Debasish Ghosh
I don't know why not shade Akka, maybe it can be shaded. Chesnay may be able to
answer that.
I recommend to shade Akka dependency of your application because it don't be
kn
Hi Stephen,
I don't think it's possible to use the same connection pool for the entire
topology, because the nodes on the topology may run in different JVMs and on
different machines.
If you want all operators running in the same JVM to use the same connection
pool, I think you can
sion of my
application instead of Flink ?
regards.
On Wed, Jul 24, 2019 at 12:42 PM Haibo Sun wrote:
Hi Debasish Ghosh,
Does your application have to depend on Akka 2.5? If not, it's a good idea to
always keep the Akka version that the application depend on in line with Flink.
If you want to t
Hi Debasish Ghosh,
Does your application have to depend on Akka 2.5? If not, it's a good idea to
always keep the Akka version that the application depend on in line with Flink.
If you want to try shading Akka dependency, I think that it is more recommended
to shade Akka dependency of your
Hi, Juan
It is dependent on "flink-runtime-*-tests.jar", so build.sbt should be modified
as follows:
scalaVersion := "2.11.0"
val flinkVersion = "1.8.1"
libraryDependencies ++= Seq(
"org.apache.flink" %% "flink-test-utils" % flinkVersion % Test,
"org.apache.flink" %%
true
Best,
Haibo
At 2019-07-23 04:54:11, "Yebgenya Lazarkhosrouabadi"
wrote:
Hi,
I used the command mvn clean package -DskipTests -Punsafe-mapr-repo , but it
didn’t work. I get the same error.
Regards
Yebgenya Lazar
Von: Haibo Sun
Gesendet: Montag, 22. Juli 201
Hi, Yebgenya
The reason for this problem can be found in this email
(http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/NOTICE-SSL-issue-when-building-flink-mapr-fs-td30757.html).
The solution is to add the parameter "-Punsafe-mapr-repo" to the maven
command, as given in the
Hi, Soheil
Placing the log configuration file in the resource directory of the job's jar
will not be used by Flink, because the log configuration is explicitly
specified by the script under the bin directory of Flink and the bootstrap code
（for example the BootstrapTools class). If you want
e standard situation where I deploy new version of all my
jobs. My current impression that job starts faster in yarn-session mode.
Thanks,
Maxim.
On Thu, Jul 18, 2019 at 4:57 AM Haibo Sun wrote:
Hi, Maxim
For the concern talking on the first point：
If HA and checkpointing are enabled, AM (the a
ot; wrote:
Thanks Haibo for the response!
Is there any community issue or plan to implement heartbeat mechanism between
Dispatcher and Client? If not, should I create one?
Regards,
Qi
On Jul 17, 2019, at 10:19 AM, Haibo Sun wrote:
Hi, Qi
As far as I know, there is no such mechanism now.
Hi, Maxim
For the concern talking on the first point：
If HA and checkpointing are enabled, AM (the application master, that is the
job manager you said) will be restarted by YARN after it dies, and then the
dispatcher will try to restore all the previously running jobs correctly. Note
that
Hi, Qi
As far as I know, there is no such mechanism now. To achieve this, I think it
may be necessary to add a REST-based heartbeat mechanism between Dispatcher and
Client. At present, perhaps you can add a monitoring service to deal with these
residual Flink clusters.
Best,
Haibo
At
Hi, Vijay
Or can you implement a Reporter that transforms the metrics and sends them
directly to a Kinesis Stream?
Best,
Haibo
At 2019-07-16 00:01:36, "Vijay Balakrishnan" wrote:
Hi,
I need to capture the Metrics sent from a Flink app to a Reporter and transform
them to an Events API
Hi, Soheil
As Caizhi said, to create a source that implements `SourceFunction`, you can
first take a closer look at the example in javadoc
(https://ci.apache.org/projects/flink/flink-docs-release-1.8/api/java/org/apache/flink/streaming/api/functions/source/SourceFunction.html).
Although
Hi, Avi Levi
I don't think there's any way to solve this problem right now, and Flink
documentation clearly shows that this is not supported.
“Trying to restore state, which was previously configured without TTL, using
TTL enabled descriptor or vice versa will lead to compatibility failure
Congrats Rong!Best,
Haibo
At 2019-07-12 09:40:26, "JingsongLee" wrote:
Congratulations Rong.
Rong Rong has done a lot of nice work in the past time to the flink community.
Best, JingsongLee
--
From:Rong Rong
Send
Hi, Zhechao
Usually, if you can, share your full exception stack and where you are trying
to capture exceptions in your code (preferably with posting your relevant code
directly
). That will help us understand and locate the issue you encounter.
Best,
Haibo
At 2019-07-08 14:11:22,
Hi, Roey
> What do you think about that?
I would have some concerns about throughput and latency, so I think that the
operators should report state data asynchronously and in batches to minimize
the impact of monitoring on the normal business processing. In addition, If the
amount of
Hi, Soheil Pourbafrani
For the current implementation of JDBCInputFormat, it cannot automatically
infer the column types. As far as I know, there also is no other way to do this.
If you're going to implement such an input format, the inference work needs to
be done by yourself. Because it
h
From: Haibo Sun
Sent: Tuesday, July 2, 2019 5:57 AM
To: Yitzchak Lieberman
Cc: Hailu, Andreas [Tech] ; user@flink.apache.org
Subject: Re:Re: File Naming Pattern from HadoopOutputFormat
Hi, Andreas
You are right. To meet this requirement, Flink should need to expose a
interfac
Hi, Samya.Patro
I guess this may be a setup problem. What OS and what version of JDK do you
use? You can try upgrading JDK to see if the issue can be solved.
Best,
Haibo
At 2019-07-02 17:16:59, "Patro, Samya" wrote:
Hello,
I am using rocksdb for storing state . But when I run the
file name as getBucketId() defined
the directory for the files in case of partitioning the data, for example:
/day=20190101/part-1-1
there is an open issue for that:
https://issues.apache.org/jira/browse/FLINK-12573
On Tue, Jul 2, 2019 at 6:18 AM Haibo Sun wrote:
Hi, Andreas
I think the following
Hi, Andreas
I think the following things may be what you want.
1. For writing Avro, I think you can extend AvroOutputFormat and override the
getDirectoryFileName() method to customize a file name, as shown below.
The javadoc of AvroOutputFormat:
-06-28 15:49:50, "Vadim Vararu" wrote:
Hi,
I've run it on a standalone Flink cluster. No Yarn involved.
From: Haibo Sun
Sent: Friday, June 28, 2019 6:13 AM
To: Vadim Vararu
Cc: user@flink.apache.org
Subject: Re:Flink batch job memory/disk leak when invoking set method on a
static Con
Hi, Vadim
This similar issue has occurred in earlier versions, see
https://issues.apache.org/jira/browse/FLINK-4485.
Are you running a Flink session cluster on YARN? I think it might be a bug.
I'll see if I can reproduce it with the master branch code, and if yes, I will
try to investigate
Hi, Pankaj Chand
If you're running Flink on YARN, you can do this by limiting the number of
applications in the cluster or in the queue. As far as I know, Flink does not
limit that.
The following are the configuration items for YARN :
yarn.scheduler.capacity.maximum-applications
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