Compare two large CSV files and making a third one from the difference











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I have a problem where I need to compare two large CSV Files (Approx 5 to 8 GB) and have to make a third CSV file from their difference.
Any suggestion pointer for supported libraries for the same or any reference to get started



e.g






File 1.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 1| a| Ran1|
| 2| b| Ran2|
+---+-----+-------+

File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 3| c| Ran3|
| 2| b| Ran2|
+---+-----+-------+

Schema of both file is same

Result - file 3.csv
File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 2| b| Ran2|
+---+-----+-------+












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  • For handling the CSV files you may take a look at cormorant. Addiotionally, given there will be large files, I wouldn't use standar scala collections - but instead, some form of Streaming (for example fs2). Now, I don't really understand what exactly you mean with "difference".
    – Luis Miguel Mejía Suárez
    Nov 9 at 15:45












  • For streaming large files, something like Akka Streams is pretty common.
    – James Whiteley
    Nov 9 at 16:08










  • By "difference", do you mean a textual difference, or content difference? "4.50" is textually different than "4.5", but is not different if the field is treated as a number.
    – Bob Dalgleish
    Nov 9 at 17:35










  • If there is a difference, how do you resynchronize the two sources? Do you look for the next non-differing line, or do you have key fields, such as a timestamp, that guarantees ordered access?
    – Bob Dalgleish
    Nov 9 at 17:36










  • @BobDalgleish - Schema of both csv is same, their is textual difference in both file
    – Shaitender Singh
    Nov 11 at 0:52















up vote
0
down vote

favorite












I have a problem where I need to compare two large CSV Files (Approx 5 to 8 GB) and have to make a third CSV file from their difference.
Any suggestion pointer for supported libraries for the same or any reference to get started



e.g






File 1.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 1| a| Ran1|
| 2| b| Ran2|
+---+-----+-------+

File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 3| c| Ran3|
| 2| b| Ran2|
+---+-----+-------+

Schema of both file is same

Result - file 3.csv
File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 2| b| Ran2|
+---+-----+-------+












share|improve this question
























  • For handling the CSV files you may take a look at cormorant. Addiotionally, given there will be large files, I wouldn't use standar scala collections - but instead, some form of Streaming (for example fs2). Now, I don't really understand what exactly you mean with "difference".
    – Luis Miguel Mejía Suárez
    Nov 9 at 15:45












  • For streaming large files, something like Akka Streams is pretty common.
    – James Whiteley
    Nov 9 at 16:08










  • By "difference", do you mean a textual difference, or content difference? "4.50" is textually different than "4.5", but is not different if the field is treated as a number.
    – Bob Dalgleish
    Nov 9 at 17:35










  • If there is a difference, how do you resynchronize the two sources? Do you look for the next non-differing line, or do you have key fields, such as a timestamp, that guarantees ordered access?
    – Bob Dalgleish
    Nov 9 at 17:36










  • @BobDalgleish - Schema of both csv is same, their is textual difference in both file
    – Shaitender Singh
    Nov 11 at 0:52













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I have a problem where I need to compare two large CSV Files (Approx 5 to 8 GB) and have to make a third CSV file from their difference.
Any suggestion pointer for supported libraries for the same or any reference to get started



e.g






File 1.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 1| a| Ran1|
| 2| b| Ran2|
+---+-----+-------+

File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 3| c| Ran3|
| 2| b| Ran2|
+---+-----+-------+

Schema of both file is same

Result - file 3.csv
File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 2| b| Ran2|
+---+-----+-------+












share|improve this question















I have a problem where I need to compare two large CSV Files (Approx 5 to 8 GB) and have to make a third CSV file from their difference.
Any suggestion pointer for supported libraries for the same or any reference to get started



e.g






File 1.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 1| a| Ran1|
| 2| b| Ran2|
+---+-----+-------+

File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 3| c| Ran3|
| 2| b| Ran2|
+---+-----+-------+

Schema of both file is same

Result - file 3.csv
File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 2| b| Ran2|
+---+-----+-------+








File 1.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 1| a| Ran1|
| 2| b| Ran2|
+---+-----+-------+

File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 3| c| Ran3|
| 2| b| Ran2|
+---+-----+-------+

Schema of both file is same

Result - file 3.csv
File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 2| b| Ran2|
+---+-----+-------+





File 1.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 1| a| Ran1|
| 2| b| Ran2|
+---+-----+-------+

File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 3| c| Ran3|
| 2| b| Ran2|
+---+-----+-------+

Schema of both file is same

Result - file 3.csv
File 2.csv

+---+------+------+
|ID |value1|value2|
+---+------+------+
| 2| b| Ran2|
+---+-----+-------+






scala scala-collections






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edited Nov 11 at 0:49

























asked Nov 9 at 15:32









Shaitender Singh

98651333




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  • For handling the CSV files you may take a look at cormorant. Addiotionally, given there will be large files, I wouldn't use standar scala collections - but instead, some form of Streaming (for example fs2). Now, I don't really understand what exactly you mean with "difference".
    – Luis Miguel Mejía Suárez
    Nov 9 at 15:45












  • For streaming large files, something like Akka Streams is pretty common.
    – James Whiteley
    Nov 9 at 16:08










  • By "difference", do you mean a textual difference, or content difference? "4.50" is textually different than "4.5", but is not different if the field is treated as a number.
    – Bob Dalgleish
    Nov 9 at 17:35










  • If there is a difference, how do you resynchronize the two sources? Do you look for the next non-differing line, or do you have key fields, such as a timestamp, that guarantees ordered access?
    – Bob Dalgleish
    Nov 9 at 17:36










  • @BobDalgleish - Schema of both csv is same, their is textual difference in both file
    – Shaitender Singh
    Nov 11 at 0:52


















  • For handling the CSV files you may take a look at cormorant. Addiotionally, given there will be large files, I wouldn't use standar scala collections - but instead, some form of Streaming (for example fs2). Now, I don't really understand what exactly you mean with "difference".
    – Luis Miguel Mejía Suárez
    Nov 9 at 15:45












  • For streaming large files, something like Akka Streams is pretty common.
    – James Whiteley
    Nov 9 at 16:08










  • By "difference", do you mean a textual difference, or content difference? "4.50" is textually different than "4.5", but is not different if the field is treated as a number.
    – Bob Dalgleish
    Nov 9 at 17:35










  • If there is a difference, how do you resynchronize the two sources? Do you look for the next non-differing line, or do you have key fields, such as a timestamp, that guarantees ordered access?
    – Bob Dalgleish
    Nov 9 at 17:36










  • @BobDalgleish - Schema of both csv is same, their is textual difference in both file
    – Shaitender Singh
    Nov 11 at 0:52
















For handling the CSV files you may take a look at cormorant. Addiotionally, given there will be large files, I wouldn't use standar scala collections - but instead, some form of Streaming (for example fs2). Now, I don't really understand what exactly you mean with "difference".
– Luis Miguel Mejía Suárez
Nov 9 at 15:45






For handling the CSV files you may take a look at cormorant. Addiotionally, given there will be large files, I wouldn't use standar scala collections - but instead, some form of Streaming (for example fs2). Now, I don't really understand what exactly you mean with "difference".
– Luis Miguel Mejía Suárez
Nov 9 at 15:45














For streaming large files, something like Akka Streams is pretty common.
– James Whiteley
Nov 9 at 16:08




For streaming large files, something like Akka Streams is pretty common.
– James Whiteley
Nov 9 at 16:08












By "difference", do you mean a textual difference, or content difference? "4.50" is textually different than "4.5", but is not different if the field is treated as a number.
– Bob Dalgleish
Nov 9 at 17:35




By "difference", do you mean a textual difference, or content difference? "4.50" is textually different than "4.5", but is not different if the field is treated as a number.
– Bob Dalgleish
Nov 9 at 17:35












If there is a difference, how do you resynchronize the two sources? Do you look for the next non-differing line, or do you have key fields, such as a timestamp, that guarantees ordered access?
– Bob Dalgleish
Nov 9 at 17:36




If there is a difference, how do you resynchronize the two sources? Do you look for the next non-differing line, or do you have key fields, such as a timestamp, that guarantees ordered access?
– Bob Dalgleish
Nov 9 at 17:36












@BobDalgleish - Schema of both csv is same, their is textual difference in both file
– Shaitender Singh
Nov 11 at 0:52




@BobDalgleish - Schema of both csv is same, their is textual difference in both file
– Shaitender Singh
Nov 11 at 0:52

















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