array sliding with spark dataframes











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-3
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suppose the data is T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0
using scala spark dataframe, how to split into the following format



T 32
P 1
A 420
H 60
R 0.30841494477846165
S 0


Any suggestions are greatly appreciated.



Thanks in advance










share|improve this question






















  • You want a row of data with columns T, P, A, H, R, S?
    – Terry Dactyl
    Nov 8 at 14:17










  • Is the data ` T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0 ` single row ? or the whole data ?
    – Shankar Koirala
    Nov 8 at 14:18










  • Can you add few more inputs and expected results
    – Shankar Koirala
    Nov 8 at 14:23










  • another example
    – Shakti
    Nov 9 at 5:06















up vote
-3
down vote

favorite












suppose the data is T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0
using scala spark dataframe, how to split into the following format



T 32
P 1
A 420
H 60
R 0.30841494477846165
S 0


Any suggestions are greatly appreciated.



Thanks in advance










share|improve this question






















  • You want a row of data with columns T, P, A, H, R, S?
    – Terry Dactyl
    Nov 8 at 14:17










  • Is the data ` T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0 ` single row ? or the whole data ?
    – Shankar Koirala
    Nov 8 at 14:18










  • Can you add few more inputs and expected results
    – Shankar Koirala
    Nov 8 at 14:23










  • another example
    – Shakti
    Nov 9 at 5:06













up vote
-3
down vote

favorite









up vote
-3
down vote

favorite











suppose the data is T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0
using scala spark dataframe, how to split into the following format



T 32
P 1
A 420
H 60
R 0.30841494477846165
S 0


Any suggestions are greatly appreciated.



Thanks in advance










share|improve this question













suppose the data is T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0
using scala spark dataframe, how to split into the following format



T 32
P 1
A 420
H 60
R 0.30841494477846165
S 0


Any suggestions are greatly appreciated.



Thanks in advance







apache-spark dataframe sliding






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 8 at 13:41









Shakti

13




13












  • You want a row of data with columns T, P, A, H, R, S?
    – Terry Dactyl
    Nov 8 at 14:17










  • Is the data ` T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0 ` single row ? or the whole data ?
    – Shankar Koirala
    Nov 8 at 14:18










  • Can you add few more inputs and expected results
    – Shankar Koirala
    Nov 8 at 14:23










  • another example
    – Shakti
    Nov 9 at 5:06


















  • You want a row of data with columns T, P, A, H, R, S?
    – Terry Dactyl
    Nov 8 at 14:17










  • Is the data ` T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0 ` single row ? or the whole data ?
    – Shankar Koirala
    Nov 8 at 14:18










  • Can you add few more inputs and expected results
    – Shankar Koirala
    Nov 8 at 14:23










  • another example
    – Shakti
    Nov 9 at 5:06
















You want a row of data with columns T, P, A, H, R, S?
– Terry Dactyl
Nov 8 at 14:17




You want a row of data with columns T, P, A, H, R, S?
– Terry Dactyl
Nov 8 at 14:17












Is the data ` T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0 ` single row ? or the whole data ?
– Shankar Koirala
Nov 8 at 14:18




Is the data ` T_32_P_1_A_420_H_60_R_0.30841494477846165_S_0 ` single row ? or the whole data ?
– Shankar Koirala
Nov 8 at 14:18












Can you add few more inputs and expected results
– Shankar Koirala
Nov 8 at 14:23




Can you add few more inputs and expected results
– Shankar Koirala
Nov 8 at 14:23












another example
– Shakti
Nov 9 at 5:06




another example
– Shakti
Nov 9 at 5:06












1 Answer
1






active

oldest

votes

















up vote
0
down vote













another example



+-------+-------------+-----------------------------------------------------------------------------+
|Pcode |Pname |Pdetails |
+-------+-------------+-----------------------------------------------------------------------------+
|Water12|HimalayaWater|Price,1.20;Qty,250ml;Brand,Himalaya;Class,Liquid |
|Snack23|Mad Pringles |Price,0.65;Qty,165 g;Brand,MadLtd;Class,Snacks;Batch,12312334;Exp,12/Feb/2012|
+-------+-------------+-----------------------------------------------------------------------------+


i want pdeatils to be split into two columns Type and Value, and expected output is



+-------+-------------+-----+-----------+
|Pcode |Pname |Type |Value |
+-------+-------------+-----+-----------+
|Water12|HimalayaWater|Price|1.20 |
|Water12|HimalayaWater|Qty |250ml |
|Water12|HimalayaWater|Brand|Himalaya |
|Water12|HimalayaWater|Class|Liquid |
|Snack23|Mad Pringles |Price|0.65 |
|Snack23|Mad Pringles |Qty |165 g |
|Snack23|Mad Pringles |Brand|MadLtd |
|Snack23|Mad Pringles |Class|Snacks |
|Snack23|Mad Pringles |Batch|12312334 |
|Snack23|Mad Pringles |Exp |12/Feb/2012|
+-------+-------------+-----+-----------+





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    up vote
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    down vote













    another example



    +-------+-------------+-----------------------------------------------------------------------------+
    |Pcode |Pname |Pdetails |
    +-------+-------------+-----------------------------------------------------------------------------+
    |Water12|HimalayaWater|Price,1.20;Qty,250ml;Brand,Himalaya;Class,Liquid |
    |Snack23|Mad Pringles |Price,0.65;Qty,165 g;Brand,MadLtd;Class,Snacks;Batch,12312334;Exp,12/Feb/2012|
    +-------+-------------+-----------------------------------------------------------------------------+


    i want pdeatils to be split into two columns Type and Value, and expected output is



    +-------+-------------+-----+-----------+
    |Pcode |Pname |Type |Value |
    +-------+-------------+-----+-----------+
    |Water12|HimalayaWater|Price|1.20 |
    |Water12|HimalayaWater|Qty |250ml |
    |Water12|HimalayaWater|Brand|Himalaya |
    |Water12|HimalayaWater|Class|Liquid |
    |Snack23|Mad Pringles |Price|0.65 |
    |Snack23|Mad Pringles |Qty |165 g |
    |Snack23|Mad Pringles |Brand|MadLtd |
    |Snack23|Mad Pringles |Class|Snacks |
    |Snack23|Mad Pringles |Batch|12312334 |
    |Snack23|Mad Pringles |Exp |12/Feb/2012|
    +-------+-------------+-----+-----------+





    share|improve this answer



























      up vote
      0
      down vote













      another example



      +-------+-------------+-----------------------------------------------------------------------------+
      |Pcode |Pname |Pdetails |
      +-------+-------------+-----------------------------------------------------------------------------+
      |Water12|HimalayaWater|Price,1.20;Qty,250ml;Brand,Himalaya;Class,Liquid |
      |Snack23|Mad Pringles |Price,0.65;Qty,165 g;Brand,MadLtd;Class,Snacks;Batch,12312334;Exp,12/Feb/2012|
      +-------+-------------+-----------------------------------------------------------------------------+


      i want pdeatils to be split into two columns Type and Value, and expected output is



      +-------+-------------+-----+-----------+
      |Pcode |Pname |Type |Value |
      +-------+-------------+-----+-----------+
      |Water12|HimalayaWater|Price|1.20 |
      |Water12|HimalayaWater|Qty |250ml |
      |Water12|HimalayaWater|Brand|Himalaya |
      |Water12|HimalayaWater|Class|Liquid |
      |Snack23|Mad Pringles |Price|0.65 |
      |Snack23|Mad Pringles |Qty |165 g |
      |Snack23|Mad Pringles |Brand|MadLtd |
      |Snack23|Mad Pringles |Class|Snacks |
      |Snack23|Mad Pringles |Batch|12312334 |
      |Snack23|Mad Pringles |Exp |12/Feb/2012|
      +-------+-------------+-----+-----------+





      share|improve this answer

























        up vote
        0
        down vote










        up vote
        0
        down vote









        another example



        +-------+-------------+-----------------------------------------------------------------------------+
        |Pcode |Pname |Pdetails |
        +-------+-------------+-----------------------------------------------------------------------------+
        |Water12|HimalayaWater|Price,1.20;Qty,250ml;Brand,Himalaya;Class,Liquid |
        |Snack23|Mad Pringles |Price,0.65;Qty,165 g;Brand,MadLtd;Class,Snacks;Batch,12312334;Exp,12/Feb/2012|
        +-------+-------------+-----------------------------------------------------------------------------+


        i want pdeatils to be split into two columns Type and Value, and expected output is



        +-------+-------------+-----+-----------+
        |Pcode |Pname |Type |Value |
        +-------+-------------+-----+-----------+
        |Water12|HimalayaWater|Price|1.20 |
        |Water12|HimalayaWater|Qty |250ml |
        |Water12|HimalayaWater|Brand|Himalaya |
        |Water12|HimalayaWater|Class|Liquid |
        |Snack23|Mad Pringles |Price|0.65 |
        |Snack23|Mad Pringles |Qty |165 g |
        |Snack23|Mad Pringles |Brand|MadLtd |
        |Snack23|Mad Pringles |Class|Snacks |
        |Snack23|Mad Pringles |Batch|12312334 |
        |Snack23|Mad Pringles |Exp |12/Feb/2012|
        +-------+-------------+-----+-----------+





        share|improve this answer














        another example



        +-------+-------------+-----------------------------------------------------------------------------+
        |Pcode |Pname |Pdetails |
        +-------+-------------+-----------------------------------------------------------------------------+
        |Water12|HimalayaWater|Price,1.20;Qty,250ml;Brand,Himalaya;Class,Liquid |
        |Snack23|Mad Pringles |Price,0.65;Qty,165 g;Brand,MadLtd;Class,Snacks;Batch,12312334;Exp,12/Feb/2012|
        +-------+-------------+-----------------------------------------------------------------------------+


        i want pdeatils to be split into two columns Type and Value, and expected output is



        +-------+-------------+-----+-----------+
        |Pcode |Pname |Type |Value |
        +-------+-------------+-----+-----------+
        |Water12|HimalayaWater|Price|1.20 |
        |Water12|HimalayaWater|Qty |250ml |
        |Water12|HimalayaWater|Brand|Himalaya |
        |Water12|HimalayaWater|Class|Liquid |
        |Snack23|Mad Pringles |Price|0.65 |
        |Snack23|Mad Pringles |Qty |165 g |
        |Snack23|Mad Pringles |Brand|MadLtd |
        |Snack23|Mad Pringles |Class|Snacks |
        |Snack23|Mad Pringles |Batch|12312334 |
        |Snack23|Mad Pringles |Exp |12/Feb/2012|
        +-------+-------------+-----+-----------+






        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 9 at 5:22

























        answered Nov 9 at 5:13









        Shakti

        13




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