how to decompress and read a file containing multiple compressed file in spark












0















I have a file AA.zip which again contains multiple files for ex aa.tar.gz, bb.tar.gz , etc



I need to read this files in spark scala , how can i achieve that??



the only problem here is to extract the contents of zip file.










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  • Possible duplicate of Read whole text files from a compression in Spark

    – user10465355
    Nov 20 '18 at 11:35











  • no, that question is about a directory containing compressed files but here i have a file which is in zip format and again contains files with .tar.gz format.

    – sheetal kaur
    Nov 20 '18 at 11:37


















0















I have a file AA.zip which again contains multiple files for ex aa.tar.gz, bb.tar.gz , etc



I need to read this files in spark scala , how can i achieve that??



the only problem here is to extract the contents of zip file.










share|improve this question

























  • Possible duplicate of Read whole text files from a compression in Spark

    – user10465355
    Nov 20 '18 at 11:35











  • no, that question is about a directory containing compressed files but here i have a file which is in zip format and again contains files with .tar.gz format.

    – sheetal kaur
    Nov 20 '18 at 11:37
















0












0








0








I have a file AA.zip which again contains multiple files for ex aa.tar.gz, bb.tar.gz , etc



I need to read this files in spark scala , how can i achieve that??



the only problem here is to extract the contents of zip file.










share|improve this question
















I have a file AA.zip which again contains multiple files for ex aa.tar.gz, bb.tar.gz , etc



I need to read this files in spark scala , how can i achieve that??



the only problem here is to extract the contents of zip file.







scala apache-spark bigdata






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share|improve this question













share|improve this question




share|improve this question








edited Nov 20 '18 at 11:40







sheetal kaur

















asked Nov 20 '18 at 8:46









sheetal kaursheetal kaur

13




13













  • Possible duplicate of Read whole text files from a compression in Spark

    – user10465355
    Nov 20 '18 at 11:35











  • no, that question is about a directory containing compressed files but here i have a file which is in zip format and again contains files with .tar.gz format.

    – sheetal kaur
    Nov 20 '18 at 11:37





















  • Possible duplicate of Read whole text files from a compression in Spark

    – user10465355
    Nov 20 '18 at 11:35











  • no, that question is about a directory containing compressed files but here i have a file which is in zip format and again contains files with .tar.gz format.

    – sheetal kaur
    Nov 20 '18 at 11:37



















Possible duplicate of Read whole text files from a compression in Spark

– user10465355
Nov 20 '18 at 11:35





Possible duplicate of Read whole text files from a compression in Spark

– user10465355
Nov 20 '18 at 11:35













no, that question is about a directory containing compressed files but here i have a file which is in zip format and again contains files with .tar.gz format.

– sheetal kaur
Nov 20 '18 at 11:37







no, that question is about a directory containing compressed files but here i have a file which is in zip format and again contains files with .tar.gz format.

– sheetal kaur
Nov 20 '18 at 11:37














1 Answer
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so ZIPs on HDFS are going to be a bit tricky because they don't split well so you'll have to process 1 or more zip file per executor. This is also one of the few cases were you probably have to fall back to SparkContext because for some reason binary file support in Spark is not that good.



https://spark.apache.org/docs/2.4.0/api/scala/index.html#org.apache.spark.SparkContext



there's a readBinaryFiles there which gives you access to the zip binary data which you can then utilize with the usual ZIP-handling from java or scala.






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    so ZIPs on HDFS are going to be a bit tricky because they don't split well so you'll have to process 1 or more zip file per executor. This is also one of the few cases were you probably have to fall back to SparkContext because for some reason binary file support in Spark is not that good.



    https://spark.apache.org/docs/2.4.0/api/scala/index.html#org.apache.spark.SparkContext



    there's a readBinaryFiles there which gives you access to the zip binary data which you can then utilize with the usual ZIP-handling from java or scala.






    share|improve this answer




























      0














      so ZIPs on HDFS are going to be a bit tricky because they don't split well so you'll have to process 1 or more zip file per executor. This is also one of the few cases were you probably have to fall back to SparkContext because for some reason binary file support in Spark is not that good.



      https://spark.apache.org/docs/2.4.0/api/scala/index.html#org.apache.spark.SparkContext



      there's a readBinaryFiles there which gives you access to the zip binary data which you can then utilize with the usual ZIP-handling from java or scala.






      share|improve this answer


























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        0







        so ZIPs on HDFS are going to be a bit tricky because they don't split well so you'll have to process 1 or more zip file per executor. This is also one of the few cases were you probably have to fall back to SparkContext because for some reason binary file support in Spark is not that good.



        https://spark.apache.org/docs/2.4.0/api/scala/index.html#org.apache.spark.SparkContext



        there's a readBinaryFiles there which gives you access to the zip binary data which you can then utilize with the usual ZIP-handling from java or scala.






        share|improve this answer













        so ZIPs on HDFS are going to be a bit tricky because they don't split well so you'll have to process 1 or more zip file per executor. This is also one of the few cases were you probably have to fall back to SparkContext because for some reason binary file support in Spark is not that good.



        https://spark.apache.org/docs/2.4.0/api/scala/index.html#org.apache.spark.SparkContext



        there's a readBinaryFiles there which gives you access to the zip binary data which you can then utilize with the usual ZIP-handling from java or scala.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 20 '18 at 9:12









        Dominic EggerDominic Egger

        87817




        87817
































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