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-- Forwarded message -
From: Madhuchaitanya Joshi 
Date: Wed, 19 Jan, 2022, 10:51
Subject: (send this email to subscribe)
To: 


Hello team,

I am trying to build and compile spark source code using intellij and
eclipse. But I am getting jackson-bind.jar not found error in intellij. I
tried generaye source and folder, mvn clean compile and rebuild project.
Also invalidate cache I tried. But still not working.

Please help me in this. I want to build and compile spark source code on
eclipse/ intellij to understand flow of code.

Thanks and regards,
Madhuchaitanya Joshi


Re: subscribe user@spark.apache.org

2021-01-19 Thread Sean Owen
You have to sign up by sending an email - see
http://spark.apache.org/community.html for what to send where.

On Tue, Jan 19, 2021 at 12:25 PM Peter Podlovics <
peter.d.podlov...@gmail.com> wrote:

> Hello,
>
> I would like to subscribe to the above mailing list. I already tried
> subscribing through the webpage, but I still haven't received the email yet.
>
> Thanks,
> Peter
>


subscribe user@spark.apache.org

2021-01-19 Thread Peter Podlovics
Hello,

I would like to subscribe to the above mailing list. I already tried
subscribing through the webpage, but I still haven't received the email yet.

Thanks,
Peter


[Spark Streaming] unsubscribe and subscribe kafka topic without stopping context

2020-12-14 Thread Sanjay Tiwari
Hi All,

I am using spark streaming with kafka, I am working on an application which
requires me to process data based on user requests. I have created 2
dstream i.e. one per topic but I am unable to stop processing of data on
user request or re-enable processing of data.

I have asked question on stackoverflow as well ..
https://stackoverflow.com/questions/65285184/spark-subscribe-and-unsubscribe-topic-from-spark-streaming-without-requiring-res

Any help here will be appreciated.

Thanks
Sanjay


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Re: Subscribe Multiple Topics Structured Streaming

2018-09-17 Thread Sivaprakash
I would like to know how to create stream and sink operations outside
"main" method - just like another class which I can invoke from main. So
that I can have different implementations for each topic which I subscribed
in a specific class file. Is it a good practice or always the whole
implementations should go inside "main" method?

On Mon, Sep 17, 2018 at 11:35 PM naresh Goud 
wrote:

> You can have below statement for multiple topics
>
> val dfStatus = spark.readStream.
>   format("kafka").
>   option("subscribe", "utility-status, utility-critical").
>   option("kafka.bootstrap.servers", "localhost:9092").
>   option("startingOffsets", "earliest")
>   .load()
>
>
>
>
>
> On Mon, Sep 17, 2018 at 3:28 AM sivaprakash <
> sivaprakashshanmu...@gmail.com> wrote:
>
>> Hi
>>
>> I have integrated Spark Streaming with Kafka in which Im listening 2
>> topics
>>
>> def main(args: Array[String]): Unit = {
>>
>> val schema = StructType(
>>   List(
>> StructField("gatewayId", StringType, true),
>> StructField("userId", StringType, true)
>>   )
>> )
>>
>> val spark = SparkSession
>>   .builder
>>   .master("local[4]")
>>   .appName("DeviceAutomation")
>>   .getOrCreate()
>>
>> val dfStatus = spark.readStream.
>>   format("kafka").
>>   option("subscribe", "utility-status, utility-critical").
>>   option("kafka.bootstrap.servers", "localhost:9092").
>>   option("startingOffsets", "earliest")
>>   .load()
>>
>>
>>   }
>>
>> Since I have few more topics to be listed and perform different
>> operations I
>> would like to move each topics into separate case class for better
>> clarity.
>> Is it possible?
>>
>>
>>
>> --
>> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
>>
>> -
>> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>>
>> --
> Thanks,
> Naresh
> www.linkedin.com/in/naresh-dulam
> http://hadoopandspark.blogspot.com/
>
>

-- 
- Prakash.


Re: Subscribe Multiple Topics Structured Streaming

2018-09-17 Thread naresh Goud
You can have below statement for multiple topics

val dfStatus = spark.readStream.
  format("kafka").
  option("subscribe", "utility-status, utility-critical").
  option("kafka.bootstrap.servers", "localhost:9092").
  option("startingOffsets", "earliest")
  .load()





On Mon, Sep 17, 2018 at 3:28 AM sivaprakash 
wrote:

> Hi
>
> I have integrated Spark Streaming with Kafka in which Im listening 2 topics
>
> def main(args: Array[String]): Unit = {
>
> val schema = StructType(
>   List(
> StructField("gatewayId", StringType, true),
> StructField("userId", StringType, true)
>   )
> )
>
> val spark = SparkSession
>   .builder
>   .master("local[4]")
>   .appName("DeviceAutomation")
>   .getOrCreate()
>
> val dfStatus = spark.readStream.
>   format("kafka").
>   option("subscribe", "utility-status, utility-critical").
>   option("kafka.bootstrap.servers", "localhost:9092").
>   option("startingOffsets", "earliest")
>   .load()
>
>
>   }
>
> Since I have few more topics to be listed and perform different operations
> I
> would like to move each topics into separate case class for better clarity.
> Is it possible?
>
>
>
> --
> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
>
> -
> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>
> --
Thanks,
Naresh
www.linkedin.com/in/naresh-dulam
http://hadoopandspark.blogspot.com/


Subscribe Multiple Topics Structured Streaming

2018-09-17 Thread sivaprakash
Hi

I have integrated Spark Streaming with Kafka in which Im listening 2 topics

def main(args: Array[String]): Unit = {

val schema = StructType(
  List(
StructField("gatewayId", StringType, true),
StructField("userId", StringType, true)
  )
)

val spark = SparkSession
  .builder
  .master("local[4]")
  .appName("DeviceAutomation")
  .getOrCreate()

val dfStatus = spark.readStream.
  format("kafka").
  option("subscribe", "utility-status, utility-critical").
  option("kafka.bootstrap.servers", "localhost:9092").
  option("startingOffsets", "earliest")
  .load()

  
  }
  
Since I have few more topics to be listed and perform different operations I
would like to move each topics into separate case class for better clarity.
Is it possible? 



--
Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/

-
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Re: Spark on Mesos: Spark issuing hundreds of SUBSCRIBE requests / second and crashing Mesos

2018-07-23 Thread Nimi W
That does sound like it could be it - I checked our libmesos version and it
is 1.4.1. I'll try upgrading libmesos.

Thanks.

On Mon, Jul 23, 2018 at 12:13 PM Susan X. Huynh 
wrote:

> Hi Nimi,
>
> This sounds similar to a bug I have come across before. See:
> https://jira.apache.org/jira/browse/SPARK-22342?focusedCommentId=16429950=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16429950
>
> It turned out to be a bug in libmesos (the client library used to
> communicate with Mesos): "using a failoverTimeout of 0 with Mesos native
> scheduler client can result in infinite subscribe loop" (
> https://issues.apache.org/jira/browse/MESOS-8171). It can be fixed by
> upgrading to a version of libmesos that has the fix.
>
> Susan
>
>
> On Fri, Jul 13, 2018 at 3:39 PM, Nimi W  wrote:
>
>> I've come across an issue with Mesos 1.4.1 and Spark 2.2.1. We launch
>> Spark tasks using the MesosClusterDispatcher in cluster mode. On a couple
>> of occasions, we have noticed that when the Spark Driver crashes (to
>> various causes - human error, network error), sometimes, when the Driver is
>> restarted, it issues a hundreds of SUBSCRIBE requests to mesos / per second
>> up until the Mesos Master node gets overwhelmed and crashes. It does this
>> again to the next master node, over and over until it takes down all the
>> master nodes. Usually the only thing that will fix is manually stopping the
>> driver and restarting.
>>
>> Here is a snippet of the log of the mesos master, which just logs the
>> repeated SUBSCRIBE command:
>> https://gist.github.com/nemosupremo/28ef4acfd7ec5bdcccee9789c021a97f
>>
>> Here is the output of the spark framework:
>> https://gist.github.com/nemosupremo/d098ef4def28ebf96c14d8f87aecd133 which
>> also just repeats 'Transport endpoint is not connected' over and over.
>>
>> Thanks for any insights
>>
>>
>>
>
>
> --
> Susan X. Huynh
> Software engineer, Data Agility
> xhu...@mesosphere.com
>


Re: Spark on Mesos: Spark issuing hundreds of SUBSCRIBE requests / second and crashing Mesos

2018-07-23 Thread Susan X. Huynh
Hi Nimi,

This sounds similar to a bug I have come across before. See:
https://jira.apache.org/jira/browse/SPARK-22342?focusedCommentId=16429950=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16429950

It turned out to be a bug in libmesos (the client library used to
communicate with Mesos): "using a failoverTimeout of 0 with Mesos native
scheduler client can result in infinite subscribe loop" (
https://issues.apache.org/jira/browse/MESOS-8171). It can be fixed by
upgrading to a version of libmesos that has the fix.

Susan


On Fri, Jul 13, 2018 at 3:39 PM, Nimi W  wrote:

> I've come across an issue with Mesos 1.4.1 and Spark 2.2.1. We launch
> Spark tasks using the MesosClusterDispatcher in cluster mode. On a couple
> of occasions, we have noticed that when the Spark Driver crashes (to
> various causes - human error, network error), sometimes, when the Driver is
> restarted, it issues a hundreds of SUBSCRIBE requests to mesos / per second
> up until the Mesos Master node gets overwhelmed and crashes. It does this
> again to the next master node, over and over until it takes down all the
> master nodes. Usually the only thing that will fix is manually stopping the
> driver and restarting.
>
> Here is a snippet of the log of the mesos master, which just logs the
> repeated SUBSCRIBE command: https://gist.github.com/nemosupremo/
> 28ef4acfd7ec5bdcccee9789c021a97f
>
> Here is the output of the spark framework: https://gist.
> github.com/nemosupremo/d098ef4def28ebf96c14d8f87aecd133 which also just
> repeats 'Transport endpoint is not connected' over and over.
>
> Thanks for any insights
>
>
>


-- 
Susan X. Huynh
Software engineer, Data Agility
xhu...@mesosphere.com


Spark on Mesos: Spark issuing hundreds of SUBSCRIBE requests / second and crashing Mesos

2018-07-13 Thread Nimi W
I've come across an issue with Mesos 1.4.1 and Spark 2.2.1. We launch Spark
tasks using the MesosClusterDispatcher in cluster mode. On a couple of
occasions, we have noticed that when the Spark Driver crashes (to various
causes - human error, network error), sometimes, when the Driver is
restarted, it issues a hundreds of SUBSCRIBE requests to mesos / per second
up until the Mesos Master node gets overwhelmed and crashes. It does this
again to the next master node, over and over until it takes down all the
master nodes. Usually the only thing that will fix is manually stopping the
driver and restarting.

Here is a snippet of the log of the mesos master, which just logs the
repeated SUBSCRIBE command:
https://gist.github.com/nemosupremo/28ef4acfd7ec5bdcccee9789c021a97f

Here is the output of the spark framework:
https://gist.github.com/nemosupremo/d098ef4def28ebf96c14d8f87aecd133 which
also just repeats 'Transport endpoint is not connected' over and over.

Thanks for any insights


subscribe

2017-07-28 Thread ajit roshen



Re: (send this email to subscribe)

2017-01-04 Thread Dinko Srkoč
You can run Spark app on Dataproc, which is Google's managed Spark and
Hadoop service:

https://cloud.google.com/dataproc/docs/

basically, you:

* assemble a jar
* create a cluster
* submit a job to that cluster (with the jar)
* delete a cluster when the job is done

Before all that, one has to create a Cloud Platform project, enable
billing and Dataproc API - but all this is explained in the docs.

Cheers,
Dinko


On 4 January 2017 at 17:34, Anahita Talebi  wrote:
>
> To whom it might concern,
>
> I have a question about running a spark code on Google cloud.
>
> Actually, I have a spark code and would like to run it using multiple
> machines on Google cloud. Unfortunately, I couldn't find a good
> documentation about how to do it.
>
> Do you have any hints which could help me to solve my problem?
>
> Have a nice day,
>
> Anahita
>
>

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Spark subscribe

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Re: Subscribe

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Re: subscribe

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To subscribe, please go to http://spark.apache.org/community.html to join
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Re: subscribe

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Cheers

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Welcome aboard!

Thanks
Best Regards

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Re: subscribe

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2014-12-05 Thread Wang, Ningjun (LNG-NPV)
I would like to subscribe to the 
user@spark.apache.orgmailto:user@spark.apache.org


Regards,

Ningjun Wang
Consulting Software Engineer
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New Providence, NJ 07974-1541



Re: subscribe me to the list

2014-12-05 Thread 张鹏
Hi Ningjun

Please send email to this address to get subscribed:
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On Dec 5, 2014, at 10:36 PM, Wang, Ningjun (LNG-NPV) 
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 I would like to subscribe to the user@spark.apache.org
  
  
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subscribe

2014-03-10 Thread hequn cheng
hi


subscribe

2014-03-10 Thread hequn cheng
hi


Re: subscribe

2014-03-10 Thread He-chien Tsai
send this to 'user-request', not 'user'


2014-03-10 17:32 GMT+08:00 hequn cheng chenghe...@gmail.com:

 hi