runtime/io/network/api/writer/ChannelSelectorRecordWriter.java#L60
>
> Best
> Yun Tang
>
> --
> *From:* Felipe Gutierrez
> *Sent:* Friday, October 11, 2019 15:47
> *To:* Yun Tang
> *Cc:* user
> *Subject:* Re: Difference between windows in Spark an
: Felipe Gutierrez
Sent: Friday, October 11, 2019 15:47
To: Yun Tang
Cc: user
Subject: Re: Difference between windows in Spark and Flink
Hi Yun,
that is a very complete answer. Thanks!
I was also wondering about the mini-batches that Spark creates when we have to
create a SparkStream cont
eaming-queries
> [7] https://issues.apache.org/jira/browse/FLINK-12692
>
> Best
> Yun Tang
>
>
>
> ----------
> *From:* Felipe Gutierrez
> *Sent:* Thursday, October 10, 2019 20:39
> *To:* user
> *Subject:* Difference between windows in Spark
LINK-12692
Best
Yun Tang
From: Felipe Gutierrez
Sent: Thursday, October 10, 2019 20:39
To: user
Subject: Difference between windows in Spark and Flink
Hi all,
I am trying to think about the essential differences between operators in Flink
and Spark. Especially when I am using Keyed Window
Hi all,
I am trying to think about the essential differences between operators in
Flink and Spark. Especially when I am using Keyed Windows then a reduce
operation.
In Flink we develop an application that can logically separate these two
operators. Thus after a keyed window I can use
.reduce/aggre
o set up a Yarn cluster for running both Spark
> and Flink applications?
>
Is it standard approach to set up a Yarn cluster for running both Spark and
Flink applications?
se.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:64)
>>>>>> at
>>>>>> org.eclipse.jetty.server.handler.HandlerWrapper.doStart(HandlerWrapper.java:95)
>>>>>> at org.eclipse.jetty.server.Server.doStart(Server.java:282
ifeCycle.start(AbstractLifeCycle.java:64)
>>>>> at
>>>>> org.apache.spark.ui.JettyUtils$.org$apache$spark$ui$JettyUtils$$connect$1(JettyUtils.scala:199)
>>>>> at
>>>>> org.apache.spark.ui.JettyUtils$$anonfun$4.apply(JettyUtils.sca
$sp(Range.scala:141)
>>>> at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:1450)
>>>> at
>>>> org.apache.spark.ui.JettyUtils$.startJettyServer(JettyUtils.scala:209)
>>>> at org.apache.spark.ui.WebUI.bind(WebUI.scala:102)
>&
oKmeans.Spark.SparkMain.main(SparkMain.java:37)
>>> ...
>>>
>>> what i do wrong?
>>>
>>> best regards
>>> paul
>>>
>>> 2015-05-13 15:43 GMT+02:00 Ted Yu :
>>>
>>>> You can use exclusion to remove the undesired jetty
>>
>>> You can use exclusion to remove the undesired jetty version.
>>> Here is syntax:
>>>
>>> com.fasterxml.jackson.module
>>> jackson-module-scala_2.10
>>> ${fasterxml.jackson.version}
>>>
>>>
>> com.google.guava
>> guava
>>
>>
>>
>>
>> On Wed, May 13, 2015 at 6:41 AM, Paul Röwer <
>> paul.roewer1...@googlemail.com> wrote:
>>
>>> Okay. And how i get it clean in my maven
ai 2015 15:15:34 MESZ, schrieb Ted Yu :
>>>
>>> You can run the following command:
>>> mvn dependency:tree
>>>
>>> And see what jetty versions are brought in.
>>>
>>> Cheers
>>>
>>>
>>>
>>> On M
You can run the following command:
mvn dependency:tree
And see what jetty versions are brought in.
Cheers
> On May 13, 2015, at 6:07 AM, Pa Rö wrote:
>
> hi,
>
> i use spark and flink in the same maven project,
>
> now i get a exception on working with spark, fli
hi,
i use spark and flink in the same maven project,
now i get a exception on working with spark, flink work well
the problem are transitiv dependencies.
maybe somebody know a solution, or versions, which work together.
best regards
paul
ps: a cloudera maven repo flink would be desirable
my
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