Spark streaming max records per batch interval












1















[New to Spark]



We have an Spark Streaming application that reads from Kinesis and writes to Redshift.



Configuration:



Number of receivers = 5



Batch interval = 10 mins



spark.streaming.receiver.maxRate = 2000 (records per second)



According to this config, the max records that can be read in a single batch can be calculated using below formula:



Max records per batch = batch_interval * 60 (convert mins to seconds) * 5 (number of receivers) * 2000 (max records per second per receiver)

10 * 60 * 5 * 2000 = 6,000,000


But the actual number of records is more that the max number.



Batch I - 6,005,886 records



Batch II - 6,001,623 records



Batch III - 6,010,148 records



Please note that receivers are not even reading at the max rate, the records read per receiver are near 1900 per second.



Why would this be happening ?










share|improve this question



























    1















    [New to Spark]



    We have an Spark Streaming application that reads from Kinesis and writes to Redshift.



    Configuration:



    Number of receivers = 5



    Batch interval = 10 mins



    spark.streaming.receiver.maxRate = 2000 (records per second)



    According to this config, the max records that can be read in a single batch can be calculated using below formula:



    Max records per batch = batch_interval * 60 (convert mins to seconds) * 5 (number of receivers) * 2000 (max records per second per receiver)

    10 * 60 * 5 * 2000 = 6,000,000


    But the actual number of records is more that the max number.



    Batch I - 6,005,886 records



    Batch II - 6,001,623 records



    Batch III - 6,010,148 records



    Please note that receivers are not even reading at the max rate, the records read per receiver are near 1900 per second.



    Why would this be happening ?










    share|improve this question

























      1












      1








      1


      1






      [New to Spark]



      We have an Spark Streaming application that reads from Kinesis and writes to Redshift.



      Configuration:



      Number of receivers = 5



      Batch interval = 10 mins



      spark.streaming.receiver.maxRate = 2000 (records per second)



      According to this config, the max records that can be read in a single batch can be calculated using below formula:



      Max records per batch = batch_interval * 60 (convert mins to seconds) * 5 (number of receivers) * 2000 (max records per second per receiver)

      10 * 60 * 5 * 2000 = 6,000,000


      But the actual number of records is more that the max number.



      Batch I - 6,005,886 records



      Batch II - 6,001,623 records



      Batch III - 6,010,148 records



      Please note that receivers are not even reading at the max rate, the records read per receiver are near 1900 per second.



      Why would this be happening ?










      share|improve this question














      [New to Spark]



      We have an Spark Streaming application that reads from Kinesis and writes to Redshift.



      Configuration:



      Number of receivers = 5



      Batch interval = 10 mins



      spark.streaming.receiver.maxRate = 2000 (records per second)



      According to this config, the max records that can be read in a single batch can be calculated using below formula:



      Max records per batch = batch_interval * 60 (convert mins to seconds) * 5 (number of receivers) * 2000 (max records per second per receiver)

      10 * 60 * 5 * 2000 = 6,000,000


      But the actual number of records is more that the max number.



      Batch I - 6,005,886 records



      Batch II - 6,001,623 records



      Batch III - 6,010,148 records



      Please note that receivers are not even reading at the max rate, the records read per receiver are near 1900 per second.



      Why would this be happening ?







      apache-spark spark-streaming






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 14 '18 at 7:20









      VijayantVijayant

      274




      274
























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