please help.
Thanks Amit On Mon, Nov 9, 2020 at 4:18 PM Amit Sharma <resolve...@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 <resolve...@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 >> >
