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From Amit Sharma <resolve...@gmail.com>
Subject Re: Out of memory issue
Date Fri, 20 Nov 2020 14:24:32 GMT
please help.


Thanks
Amit

On Mon, Nov 9, 2020 at 4:18 PM Amit Sharma <resolve123@gmail.com> 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 <resolve123@gmail.com> 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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