THANK YOU SO MUCH! Will try it out & revert. On Thu, Nov 19, 2020 at 8:18 AM Gabor Somogyi <gabor.g.somo...@gmail.com> wrote:
> "spark.kafka.producer.cache.timeout" is available since 2.2.1 which can be > increased as a temporary workaround. > This is not super elegant but works which gives enough time to migrate to > Spark 3. > > > On Wed, Nov 18, 2020 at 11:12 PM Eric Beabes <mailinglist...@gmail.com> > wrote: > >> I must say.. *Spark has let me down in this case*. I am surprised an >> important issue like this hasn't been fixed in Spark 2.4. >> >> I am fighting a battle of 'Spark Structured Streaming' Vs 'Flink' at work >> & now because Spark 2.4 can't handle this *I've been asked to rewrite >> the code in Flink*. >> >> Moving to Spark 3.0 is not an easy option 'cause Cloudera 6.2 doesn't >> have a Spark 3.0 parcel!!!! So we can't upgrade to 3.0. >> >> So sad. Let me ask one more time. *Is there no way to fix this in Spark >> 2.4?* >> >> >> On Tue, Nov 10, 2020 at 11:33 AM Eric Beabes <mailinglist...@gmail.com> >> wrote: >> >>> BTW, we are seeing this message as well: >>> *"org.apache.kafka.common.KafkaException: >>> Producer** closed while send in progress"*. I am assuming this happens >>> because of the previous issue.."producer has been closed", right? Or are >>> they unrelated? Please advise. Thanks. >>> >>> On Tue, Nov 10, 2020 at 11:17 AM Eric Beabes <mailinglist...@gmail.com> >>> wrote: >>> >>>> Thanks for the reply. We are on Spark 2.4. Is there no way to get this >>>> fixed in Spark 2.4? >>>> >>>> On Mon, Nov 2, 2020 at 8:32 PM Jungtaek Lim < >>>> kabhwan.opensou...@gmail.com> wrote: >>>> >>>>> Which Spark version do you use? There's a known issue on Kafka >>>>> producer pool in Spark 2.x which was fixed in Spark 3.0, so you'd like to >>>>> check whether your case is bound to the known issue or not. >>>>> >>>>> https://issues.apache.org/jira/browse/SPARK-21869 >>>>> >>>>> >>>>> On Tue, Nov 3, 2020 at 1:53 AM Eric Beabes <mailinglist...@gmail.com> >>>>> wrote: >>>>> >>>>>> I know this is related to Kafka but it happens during the Spark >>>>>> Structured Streaming job that's why I am asking on this mailing list. >>>>>> >>>>>> How would you debug this or get around this in Spark Structured >>>>>> Streaming? Any tips would be appreciated. Thanks. >>>>>> >>>>>> >>>>>> java.lang.IllegalStateException: Cannot perform operation after >>>>>> producer has been closed at >>>>>> org.apache.kafka.clients.producer.KafkaProducer.throwIfProducerClosed(KafkaProducer.java:853) >>>>>> at >>>>>> org.apache.kafka.clients.producer.KafkaProducer.doSend(KafkaProducer.java:862) >>>>>> at >>>>>> org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:846) >>>>>> at >>>>>> org.apache.spark.sql.kafka010.KafkaRowWriter.sendRow(KafkaWriteTask.scala:92) >>>>>> at >>>>>> org.apache.spark.sql.kafka010.KafkaStreamDataWriter.write(KafkaStreamWriter.scala:95) >>>>>> >>>>>
