Hive table outdated after Sqoop incremental import












1














I'm trying to do a Sqoop incremental import to a Hive table using "--incremental append".



I did an initial sqoop import and then create a job for the incremental imports.
Both are executed successfully and new files have been added to the same original Hive table directory in HDFS, but when I check my Hive table, the imported observations are not there. The Hive table is equal before the sqoop incremental import.



How can I solve that?
I have about 45 Hive tables and would like to update them daily automatically after the Sqoop incremental import.



First Sqoop Import:



sqoop import 
--connect jdbc:db2://...
--username root
-password 9999999
--class-name db2fcs_cust_atu
--query "SELECT * FROM db2fcs.cust_atu WHERE $CONDITIONS"
--split-by PTC_NR
--fetch-size 10000
--delete-target-dir
--target-dir /apps/hive/warehouse/fcs.db/db2fcs_cust_atu
--hive-import
--hive-table fcs.cust_atu
-m 64;


Then I run Sqoop incremental import:



sqoop job 
-create cli_atu
--import
--connect jdbc:db2://...
--username root
--password 9999999
--table db2fcs.cust_atu
--target-dir /apps/hive/warehouse/fcs.db/db2fcs_cust_atu
--hive-table fcs.cust_atu
--split-by PTC_NR
--incremental append
--check-column TS_CUST
--last-value '2018-09-09'









share|improve this question





























    1














    I'm trying to do a Sqoop incremental import to a Hive table using "--incremental append".



    I did an initial sqoop import and then create a job for the incremental imports.
    Both are executed successfully and new files have been added to the same original Hive table directory in HDFS, but when I check my Hive table, the imported observations are not there. The Hive table is equal before the sqoop incremental import.



    How can I solve that?
    I have about 45 Hive tables and would like to update them daily automatically after the Sqoop incremental import.



    First Sqoop Import:



    sqoop import 
    --connect jdbc:db2://...
    --username root
    -password 9999999
    --class-name db2fcs_cust_atu
    --query "SELECT * FROM db2fcs.cust_atu WHERE $CONDITIONS"
    --split-by PTC_NR
    --fetch-size 10000
    --delete-target-dir
    --target-dir /apps/hive/warehouse/fcs.db/db2fcs_cust_atu
    --hive-import
    --hive-table fcs.cust_atu
    -m 64;


    Then I run Sqoop incremental import:



    sqoop job 
    -create cli_atu
    --import
    --connect jdbc:db2://...
    --username root
    --password 9999999
    --table db2fcs.cust_atu
    --target-dir /apps/hive/warehouse/fcs.db/db2fcs_cust_atu
    --hive-table fcs.cust_atu
    --split-by PTC_NR
    --incremental append
    --check-column TS_CUST
    --last-value '2018-09-09'









    share|improve this question



























      1












      1








      1







      I'm trying to do a Sqoop incremental import to a Hive table using "--incremental append".



      I did an initial sqoop import and then create a job for the incremental imports.
      Both are executed successfully and new files have been added to the same original Hive table directory in HDFS, but when I check my Hive table, the imported observations are not there. The Hive table is equal before the sqoop incremental import.



      How can I solve that?
      I have about 45 Hive tables and would like to update them daily automatically after the Sqoop incremental import.



      First Sqoop Import:



      sqoop import 
      --connect jdbc:db2://...
      --username root
      -password 9999999
      --class-name db2fcs_cust_atu
      --query "SELECT * FROM db2fcs.cust_atu WHERE $CONDITIONS"
      --split-by PTC_NR
      --fetch-size 10000
      --delete-target-dir
      --target-dir /apps/hive/warehouse/fcs.db/db2fcs_cust_atu
      --hive-import
      --hive-table fcs.cust_atu
      -m 64;


      Then I run Sqoop incremental import:



      sqoop job 
      -create cli_atu
      --import
      --connect jdbc:db2://...
      --username root
      --password 9999999
      --table db2fcs.cust_atu
      --target-dir /apps/hive/warehouse/fcs.db/db2fcs_cust_atu
      --hive-table fcs.cust_atu
      --split-by PTC_NR
      --incremental append
      --check-column TS_CUST
      --last-value '2018-09-09'









      share|improve this question















      I'm trying to do a Sqoop incremental import to a Hive table using "--incremental append".



      I did an initial sqoop import and then create a job for the incremental imports.
      Both are executed successfully and new files have been added to the same original Hive table directory in HDFS, but when I check my Hive table, the imported observations are not there. The Hive table is equal before the sqoop incremental import.



      How can I solve that?
      I have about 45 Hive tables and would like to update them daily automatically after the Sqoop incremental import.



      First Sqoop Import:



      sqoop import 
      --connect jdbc:db2://...
      --username root
      -password 9999999
      --class-name db2fcs_cust_atu
      --query "SELECT * FROM db2fcs.cust_atu WHERE $CONDITIONS"
      --split-by PTC_NR
      --fetch-size 10000
      --delete-target-dir
      --target-dir /apps/hive/warehouse/fcs.db/db2fcs_cust_atu
      --hive-import
      --hive-table fcs.cust_atu
      -m 64;


      Then I run Sqoop incremental import:



      sqoop job 
      -create cli_atu
      --import
      --connect jdbc:db2://...
      --username root
      --password 9999999
      --table db2fcs.cust_atu
      --target-dir /apps/hive/warehouse/fcs.db/db2fcs_cust_atu
      --hive-table fcs.cust_atu
      --split-by PTC_NR
      --incremental append
      --check-column TS_CUST
      --last-value '2018-09-09'






      hive hdfs sqoop






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      edited Dec 8 '18 at 3:26









      Gaurang Shah

      2,94511333




      2,94511333










      asked Nov 12 '18 at 23:53









      Fernando Santos

      62




      62
























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            It might be difficult to understand/answer your question without looking at your full query because your outcome also depends on your choice of arguments and directories. Mind to share your query?






            share|improve this answer


























              0














              It might be difficult to understand/answer your question without looking at your full query because your outcome also depends on your choice of arguments and directories. Mind to share your query?






              share|improve this answer
























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                It might be difficult to understand/answer your question without looking at your full query because your outcome also depends on your choice of arguments and directories. Mind to share your query?






                share|improve this answer












                It might be difficult to understand/answer your question without looking at your full query because your outcome also depends on your choice of arguments and directories. Mind to share your query?







                share|improve this answer












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                answered Nov 13 '18 at 2:08









                Laenka-Oss

                915




                915






























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