Hive: How to deal with files that comprise unfixed number of fields?












0















Dealing with a file on HDFS that comprises different num of fields separated by ','. For instance:



uid1, eid01, para1, para2, para3,para4,para5,timestamp

uid1, eid12, para56, para57, timestamp

uid3, eid42, para102,timestamp


The number of fields is not fixed.



Now I want to put these data into a Hive table that has 4 columns, and all fields of 'para..' in one colume like:



  uid    eid              para                  datatime

  uid1  eid01  para1, para2, para3,para4,para5  timestamp

  uid1  eid12  para56, para57                   timestamp

  uid3  eid42  para102                          timestamp


The data amount is so large that I cannot deal with it using tools like AWK. Is there any other solution?



Any help is appreciated.






hadoop hive







share|improve this question





























    0















    Dealing with a file on HDFS that comprises different num of fields separated by ','. For instance:



    uid1, eid01, para1, para2, para3,para4,para5,timestamp
    
uid1, eid12, para56, para57, timestamp
    
uid3, eid42, para102,timestamp


    The number of fields is not fixed.



    Now I want to put these data into a Hive table that has 4 columns, and all fields of 'para..' in one colume like:



      uid    eid              para                  datatime
    
  uid1  eid01  para1, para2, para3,para4,para5  timestamp
    
  uid1  eid12  para56, para57                   timestamp
    
  uid3  eid42  para102                          timestamp


    The data amount is so large that I cannot deal with it using tools like AWK. Is there any other solution?



    Any help is appreciated.






    hadoop hive







    share|improve this question



























      0












      0








      0








      Dealing with a file on HDFS that comprises different num of fields separated by ','. For instance:



      uid1, eid01, para1, para2, para3,para4,para5,timestamp
      
uid1, eid12, para56, para57, timestamp
      
uid3, eid42, para102,timestamp


      The number of fields is not fixed.



      Now I want to put these data into a Hive table that has 4 columns, and all fields of 'para..' in one colume like:



        uid    eid              para                  datatime
      
  uid1  eid01  para1, para2, para3,para4,para5  timestamp
      
  uid1  eid12  para56, para57                   timestamp
      
  uid3  eid42  para102                          timestamp


      The data amount is so large that I cannot deal with it using tools like AWK. Is there any other solution?



      Any help is appreciated.






      hadoop hive







      share|improve this question
















      Dealing with a file on HDFS that comprises different num of fields separated by ','. For instance:



      uid1, eid01, para1, para2, para3,para4,para5,timestamp
      
uid1, eid12, para56, para57, timestamp
      
uid3, eid42, para102,timestamp


      The number of fields is not fixed.



      Now I want to put these data into a Hive table that has 4 columns, and all fields of 'para..' in one colume like:



        uid    eid              para                  datatime
      
  uid1  eid01  para1, para2, para3,para4,para5  timestamp
      
  uid1  eid12  para56, para57                   timestamp
      
  uid3  eid42  para102                          timestamp


      The data amount is so large that I cannot deal with it using tools like AWK. Is there any other solution?



      Any help is appreciated.






      hadoop hive




      hadoop hive






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 22 '18 at 8:44







      user2894829

















      asked Nov 22 '18 at 8:38









      user2894829user2894829

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      998
























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          1. create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.


          2. create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp



          when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)






          share|improve this answer
























          • well thanks for your reply. I think split() and reverse() can achieve my target.

            – user2894829
            Nov 22 '18 at 9:17











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          0















          1. create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.


          2. create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp



          when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)






          share|improve this answer
























          • well thanks for your reply. I think split() and reverse() can achieve my target.

            – user2894829
            Nov 22 '18 at 9:17
















          0















          1. create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.


          2. create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp



          when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)






          share|improve this answer
























          • well thanks for your reply. I think split() and reverse() can achieve my target.

            – user2894829
            Nov 22 '18 at 9:17














          0












          0








          0








          1. create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.


          2. create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp



          when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)






          share|improve this answer














          1. create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.


          2. create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp



          when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 22 '18 at 8:51









          TomTom

          1,5311335




          1,5311335













          • well thanks for your reply. I think split() and reverse() can achieve my target.

            – user2894829
            Nov 22 '18 at 9:17



















          • well thanks for your reply. I think split() and reverse() can achieve my target.

            – user2894829
            Nov 22 '18 at 9:17

















          well thanks for your reply. I think split() and reverse() can achieve my target.

          – user2894829
          Nov 22 '18 at 9:17





          well thanks for your reply. I think split() and reverse() can achieve my target.

          – user2894829
          Nov 22 '18 at 9:17




















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