Spark batch write to Kafka topic from multi-column DataFrame












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After the batch, Spark ETL I need to write to Kafka topic the resulting DataFrame that contains multiple different columns.



According to the following Spark documentation https://spark.apache.org/docs/2.2.0/structured-streaming-kafka-integration.html the Dataframe being written to Kafka should have the following mandatory column in schema:




value (required) string or binary




As I mentioned previously, I have much more columns with values so I have a question - how to properly send the whole DataFrame row as a single message to Kafka topic from my Spark application? Do I need to join all of the values from all columns into the new DataFrame with a single value column(that will contain the joined value) or there is more proper way to achieve it?










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    0















    After the batch, Spark ETL I need to write to Kafka topic the resulting DataFrame that contains multiple different columns.



    According to the following Spark documentation https://spark.apache.org/docs/2.2.0/structured-streaming-kafka-integration.html the Dataframe being written to Kafka should have the following mandatory column in schema:




    value (required) string or binary




    As I mentioned previously, I have much more columns with values so I have a question - how to properly send the whole DataFrame row as a single message to Kafka topic from my Spark application? Do I need to join all of the values from all columns into the new DataFrame with a single value column(that will contain the joined value) or there is more proper way to achieve it?










    share|improve this question

























      0












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      0








      After the batch, Spark ETL I need to write to Kafka topic the resulting DataFrame that contains multiple different columns.



      According to the following Spark documentation https://spark.apache.org/docs/2.2.0/structured-streaming-kafka-integration.html the Dataframe being written to Kafka should have the following mandatory column in schema:




      value (required) string or binary




      As I mentioned previously, I have much more columns with values so I have a question - how to properly send the whole DataFrame row as a single message to Kafka topic from my Spark application? Do I need to join all of the values from all columns into the new DataFrame with a single value column(that will contain the joined value) or there is more proper way to achieve it?










      share|improve this question














      After the batch, Spark ETL I need to write to Kafka topic the resulting DataFrame that contains multiple different columns.



      According to the following Spark documentation https://spark.apache.org/docs/2.2.0/structured-streaming-kafka-integration.html the Dataframe being written to Kafka should have the following mandatory column in schema:




      value (required) string or binary




      As I mentioned previously, I have much more columns with values so I have a question - how to properly send the whole DataFrame row as a single message to Kafka topic from my Spark application? Do I need to join all of the values from all columns into the new DataFrame with a single value column(that will contain the joined value) or there is more proper way to achieve it?







      apache-spark apache-kafka apache-spark-sql






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      asked Nov 23 '18 at 14:36









      alexanoidalexanoid

      7,4751184186




      7,4751184186
























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          The proper way to do that is already hinted by the docs, and doesn't really differ form what you'd do with any Kafka client - you have to serialize the payload before sending to Kafka.



          How you you'll do that (to_json, to_csv, Apache Avro) depends on your business requirements - nobody can answers this but you (or your team).






          share|improve this answer

























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            1 Answer
            1






            active

            oldest

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            active

            oldest

            votes






            active

            oldest

            votes









            3














            The proper way to do that is already hinted by the docs, and doesn't really differ form what you'd do with any Kafka client - you have to serialize the payload before sending to Kafka.



            How you you'll do that (to_json, to_csv, Apache Avro) depends on your business requirements - nobody can answers this but you (or your team).






            share|improve this answer






























              3














              The proper way to do that is already hinted by the docs, and doesn't really differ form what you'd do with any Kafka client - you have to serialize the payload before sending to Kafka.



              How you you'll do that (to_json, to_csv, Apache Avro) depends on your business requirements - nobody can answers this but you (or your team).






              share|improve this answer




























                3












                3








                3







                The proper way to do that is already hinted by the docs, and doesn't really differ form what you'd do with any Kafka client - you have to serialize the payload before sending to Kafka.



                How you you'll do that (to_json, to_csv, Apache Avro) depends on your business requirements - nobody can answers this but you (or your team).






                share|improve this answer















                The proper way to do that is already hinted by the docs, and doesn't really differ form what you'd do with any Kafka client - you have to serialize the payload before sending to Kafka.



                How you you'll do that (to_json, to_csv, Apache Avro) depends on your business requirements - nobody can answers this but you (or your team).







                share|improve this answer














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                edited Dec 1 '18 at 12:24









                alexanoid

                7,4751184186




                7,4751184186










                answered Nov 23 '18 at 14:43









                user10696091user10696091

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