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On Wed, Dec 16, 2020, 6:45 AM 张洪斌  wrote:

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

[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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That's not how to unsubscribe.
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On Wed, Dec 9, 2020 at 9:26 AM Bhavya Jain  wrote:

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On Fri, Nov 20, 2020, 8:25 AM Amit Sharma  wrote:

> please help.
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>
> Thanks
> Amit
>
> On Mon, Nov 9, 2020 at 4:18 PM Amit Sharma  wrote:
>
>> Please find below the exact exception
>>
>> Exception in thread "streaming-job-executor-3"
>> java.lang.OutOfMemoryError: Java heap space
>> at java.util.Arrays.copyOf(Arrays.java:3332)
>> at
>> java.lang.AbstractStringBuilder.ensureCapacityInternal(AbstractStringBuilder.java:124)
>> at
>> java.lang.AbstractStringBuilder.append(AbstractStringBuilder.java:448)
>> at java.lang.StringBuilder.append(StringBuilder.java:136)
>> at
>> scala.StringContext.standardInterpolator(StringContext.scala:126)
>> at scala.StringContext.s(StringContext.scala:95)
>> at sparkStreaming.TRReview.getTRReviews(TRReview.scala:307)
>> at
>> sparkStreaming.KafkaListener$$anonfun$1$$anonfun$apply$1$$anonfun$3.apply(KafkaListener.scala:154)
>> at
>> sparkStreaming.KafkaListener$$anonfun$1$$anonfun$apply$1$$anonfun$3.apply(KafkaListener.scala:138)
>> at scala.util.Success$$anonfun$map$1.apply(Try.scala:237)
>> at scala.util.Try$.apply(Try.scala:192)
>> at scala.util.Success.map(Try.scala:237)
>>
>> On Sun, Nov 8, 2020 at 1:35 PM Amit Sharma  wrote:
>>
>>> Hi , I am using 16 nodes spark cluster with below config
>>> 1. Executor memory  8 GB
>>> 2. 5 cores per executor
>>> 3. Driver memory 12 GB.
>>>
>>>
>>> We have streaming job. We do not see problem but sometimes we get
>>> exception executor-1 heap memory issue. I am not understanding if data size
>>> is same and this job receive a request and process it but suddenly it’s
>>> start giving out of memory error . It will throw exception for 1 executor
>>> then throw for other executor also and it stop processing the request.
>>>
>>> Thanks
>>> Amit
>>>
>>

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Re: Unsubscribe

[Annabel Melongo]

 Thanks, Stephen
On Wednesday, August 26, 2020, 07:07:05 PM PDT, Stephen Coy 
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On 27 Aug 2020, at 7:49 am, Jeff Evans  wrote:
That is not how you unsubscribe.  See here for instructions: 
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On Wed, Aug 26, 2020, 4:22 PM Annabel Melongo 
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On 27 Aug 2020, at 7:49 am, Jeff Evans 
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Re: Unsubscribe martha focker

[hashbonduo]

When  these Matha Fockers don't even know how to unsubscribe.
What hope of them becoming data scientist ?
I mean first you have to train on some maths.Algebra  statistics 
calculus from people who have no idea of data science or machine
learning. Classifier algorithms ,  recommended systems.Parallelism.
Deal with  cross terminology like  labels features rows instances 
inputs outputs target classWhen they are just rows and columns in a
table .
Then python scala RThen figure out the machine learning concepts.like
tensorflow  pytorch scikit-learn   blah blah.
You cant even unsubscribe  .I am going to ask for more salary when I
grow up and become data science. 
Hopefully before COVID-19  locked is overWith Trump in charge i am
confident I have enough training time.

On 11/06/2020 at 5:27 PM, "Angel Angel"  wrote:

[External] Unsubscribe

[Mishra, Dhiraj A.]

Thanks,
Dhiraj



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