How can I handle old data in the kafka topic?












2















I start using spark structured streaming.



I get readStream from kafka topic (startOffset: latest)
with waterMark,
group by event time with window duration,
and write to kafka topic.



My question is,
How can I handle the data written to the kafka topic before spark structured streaming job?



I tried to run with `startOffset: earliest' at first. but the data in the kafka topic is too large, so spark streaming process is not started because of yarn timeout. (even though I increase timeout value)



1.
If I simply create a batch job and filter by specific data range.
the result is not reflected in the current state of spark streaming,
there seems to be a problem with the consistency and accuracy of the result.




  1. I tried to reset the checkpoint directory but It did not work.


How can I handle the old and large data?
Help me.










share|improve this question





























    2















    I start using spark structured streaming.



    I get readStream from kafka topic (startOffset: latest)
    with waterMark,
    group by event time with window duration,
    and write to kafka topic.



    My question is,
    How can I handle the data written to the kafka topic before spark structured streaming job?



    I tried to run with `startOffset: earliest' at first. but the data in the kafka topic is too large, so spark streaming process is not started because of yarn timeout. (even though I increase timeout value)



    1.
    If I simply create a batch job and filter by specific data range.
    the result is not reflected in the current state of spark streaming,
    there seems to be a problem with the consistency and accuracy of the result.




    1. I tried to reset the checkpoint directory but It did not work.


    How can I handle the old and large data?
    Help me.










    share|improve this question



























      2












      2








      2


      2






      I start using spark structured streaming.



      I get readStream from kafka topic (startOffset: latest)
      with waterMark,
      group by event time with window duration,
      and write to kafka topic.



      My question is,
      How can I handle the data written to the kafka topic before spark structured streaming job?



      I tried to run with `startOffset: earliest' at first. but the data in the kafka topic is too large, so spark streaming process is not started because of yarn timeout. (even though I increase timeout value)



      1.
      If I simply create a batch job and filter by specific data range.
      the result is not reflected in the current state of spark streaming,
      there seems to be a problem with the consistency and accuracy of the result.




      1. I tried to reset the checkpoint directory but It did not work.


      How can I handle the old and large data?
      Help me.










      share|improve this question
















      I start using spark structured streaming.



      I get readStream from kafka topic (startOffset: latest)
      with waterMark,
      group by event time with window duration,
      and write to kafka topic.



      My question is,
      How can I handle the data written to the kafka topic before spark structured streaming job?



      I tried to run with `startOffset: earliest' at first. but the data in the kafka topic is too large, so spark streaming process is not started because of yarn timeout. (even though I increase timeout value)



      1.
      If I simply create a batch job and filter by specific data range.
      the result is not reflected in the current state of spark streaming,
      there seems to be a problem with the consistency and accuracy of the result.




      1. I tried to reset the checkpoint directory but It did not work.


      How can I handle the old and large data?
      Help me.







      apache-spark spark-structured-streaming






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Dec 3 '18 at 20:27









      Jacek Laskowski

      44.7k18132268




      44.7k18132268










      asked Nov 26 '18 at 14:40









      soysoy

      434




      434
























          1 Answer
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          you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.



          Use:



          sparkSession.readStream
          .format("kafka")
          .option("kafka.bootstrap.servers", "localhost:9092")
          .option("subscribe", "test-name")
          .option("startingOffsets", "earliest")
          .option("maxOffsetsPerTrigger", 1)
          .option("group.id", "2")
          .option("auto.offset.reset", "earliest")
          .load()





          share|improve this answer























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            1 Answer
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            oldest

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            1 Answer
            1






            active

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            oldest

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            active

            oldest

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            1














            you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.



            Use:



            sparkSession.readStream
            .format("kafka")
            .option("kafka.bootstrap.servers", "localhost:9092")
            .option("subscribe", "test-name")
            .option("startingOffsets", "earliest")
            .option("maxOffsetsPerTrigger", 1)
            .option("group.id", "2")
            .option("auto.offset.reset", "earliest")
            .load()





            share|improve this answer




























              1














              you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.



              Use:



              sparkSession.readStream
              .format("kafka")
              .option("kafka.bootstrap.servers", "localhost:9092")
              .option("subscribe", "test-name")
              .option("startingOffsets", "earliest")
              .option("maxOffsetsPerTrigger", 1)
              .option("group.id", "2")
              .option("auto.offset.reset", "earliest")
              .load()





              share|improve this answer


























                1












                1








                1







                you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.



                Use:



                sparkSession.readStream
                .format("kafka")
                .option("kafka.bootstrap.servers", "localhost:9092")
                .option("subscribe", "test-name")
                .option("startingOffsets", "earliest")
                .option("maxOffsetsPerTrigger", 1)
                .option("group.id", "2")
                .option("auto.offset.reset", "earliest")
                .load()





                share|improve this answer













                you can try the parmeter maxOffsetsPerTrigger for Kafka + Structured Streaming for receiving old data from Kafka. Set the value for this parameter to the number of records you want to receive from Kafka at one time.



                Use:



                sparkSession.readStream
                .format("kafka")
                .option("kafka.bootstrap.servers", "localhost:9092")
                .option("subscribe", "test-name")
                .option("startingOffsets", "earliest")
                .option("maxOffsetsPerTrigger", 1)
                .option("group.id", "2")
                .option("auto.offset.reset", "earliest")
                .load()






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 27 '18 at 4:31









                anuj saxenaanuj saxena

                24917




                24917
































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