The loading of parquet files from HDFS is slower that the loading from S3. What can be the reasons for that?










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I have hundreds of parquet files in HDFS. I also have the same files in AWS S3. On a EMR cluster, I run a machine learning model, which can take its learning data from HDFS or from S3.



When it loads the data from HDFS, it takes a longer time than when the data is loaded from S3. Should not it be the opposite ? What can be the reason(s) for that?



Obviously, the hardware (the machines) used in the EMR cluster is the same for both cases.










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    0















    I have hundreds of parquet files in HDFS. I also have the same files in AWS S3. On a EMR cluster, I run a machine learning model, which can take its learning data from HDFS or from S3.



    When it loads the data from HDFS, it takes a longer time than when the data is loaded from S3. Should not it be the opposite ? What can be the reason(s) for that?



    Obviously, the hardware (the machines) used in the EMR cluster is the same for both cases.










    share|improve this question
























      0












      0








      0








      I have hundreds of parquet files in HDFS. I also have the same files in AWS S3. On a EMR cluster, I run a machine learning model, which can take its learning data from HDFS or from S3.



      When it loads the data from HDFS, it takes a longer time than when the data is loaded from S3. Should not it be the opposite ? What can be the reason(s) for that?



      Obviously, the hardware (the machines) used in the EMR cluster is the same for both cases.










      share|improve this question














      I have hundreds of parquet files in HDFS. I also have the same files in AWS S3. On a EMR cluster, I run a machine learning model, which can take its learning data from HDFS or from S3.



      When it loads the data from HDFS, it takes a longer time than when the data is loaded from S3. Should not it be the opposite ? What can be the reason(s) for that?



      Obviously, the hardware (the machines) used in the EMR cluster is the same for both cases.







      hadoop amazon-s3






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 14 '18 at 16:52









      Benjamin DupuisBenjamin Dupuis

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          S3 has problems when you load lots of files



          Hadoop has problems when you use lots of small files (less than the 128 MB block size)



          Assuming YARN settings are all the same, I would look at the IOPs rate to the HDFS volumes, and ensure your NodeManagers are running on the same machines as Datanodes






          share|improve this answer






















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            1 Answer
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            1 Answer
            1






            active

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            active

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            active

            oldest

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            0














            S3 has problems when you load lots of files



            Hadoop has problems when you use lots of small files (less than the 128 MB block size)



            Assuming YARN settings are all the same, I would look at the IOPs rate to the HDFS volumes, and ensure your NodeManagers are running on the same machines as Datanodes






            share|improve this answer



























              0














              S3 has problems when you load lots of files



              Hadoop has problems when you use lots of small files (less than the 128 MB block size)



              Assuming YARN settings are all the same, I would look at the IOPs rate to the HDFS volumes, and ensure your NodeManagers are running on the same machines as Datanodes






              share|improve this answer

























                0












                0








                0







                S3 has problems when you load lots of files



                Hadoop has problems when you use lots of small files (less than the 128 MB block size)



                Assuming YARN settings are all the same, I would look at the IOPs rate to the HDFS volumes, and ensure your NodeManagers are running on the same machines as Datanodes






                share|improve this answer













                S3 has problems when you load lots of files



                Hadoop has problems when you use lots of small files (less than the 128 MB block size)



                Assuming YARN settings are all the same, I would look at the IOPs rate to the HDFS volumes, and ensure your NodeManagers are running on the same machines as Datanodes







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 15 '18 at 2:49









                cricket_007cricket_007

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                82.4k1143111





























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