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Home/ Questions/Q 571681
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T13:31:58+00:00 2026-05-13T13:31:58+00:00

UPDATE : added an example to clarify the format of the data. Considering a

  • 0

UPDATE: added an example to clarify the format of the data.

Considering a CSV with each line formatted like this:

tbl1.col1,tbl1.col2,tbl1.col3,tbl1.col4,tbl1.col5,[tbl2.col1:tbl2.col2]+

where [tbl2.col1:tbl2.col2]+ means that there could be any number of these pairs repeated

ex:

tbl1.col1,tbl1.col2,tbl1.col3,tbl1.col4,tbl1.col5,tbl2.col1:tbl2.col2,tbl2.col1:tbl2.col2,tbl2.col1:tbl2.col2,tbl2.col1:tbl2.col2,tbl2.col1:tbl2.col2,tbl2.col1:tbl2.col2,tbl2.col1:tbl2.col2,tbl2.col1:tbl2.col2

The tables would relate to eachother using the line number as a key which would have to be created in addition to any columns mentioned above.

  1. Is there a way to use mysql load
    data infile
    to load the data into
    two separate tables?
  2. If not, what Unix command line tools
    would be best suited for this?
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  1. Editorial Team
    Editorial Team
    2026-05-13T13:31:59+00:00Added an answer on May 13, 2026 at 1:31 pm

    no, not directly. load data can only insert into one table or partitioned table.

    what you can do is load the data into a staging table, then use insert into to select the individual columns into the 2 final tables. you may also need substring_index if you’re using different delimiters for tbl2’s values. the line number is handled by an auto incrementing column in the staging table (the easiest way is to make the auto column last in the staging table definition).

    the format is not exactly clear, and is best done w/perl/php/python, but if you really want to use shell tools:

    cut -d , -f 1-5 file | awk -F, '{print NR "," $0}' > table1
    
    cut -d , -f 6- file | sed 's,\:,\,,g' | \
      awk -F, '{i=1; while (i<=NF) {print NR "," $(i) "," $(i+1); i+=2;}}' > table2
    

    this creates table1 and table 2 files with these contents:

    1,tbl1.col1,tbl1.col2,tbl1.col3,tbl1.col4,tbl1.col5
    2,tbl1.col1,tbl1.col2,tbl1.col3,tbl1.col4,tbl1.col5
    3,tbl1.col1,tbl1.col2,tbl1.col3,tbl1.col4,tbl1.col5
    

    and

    1,tbl2.col1,tbl2.col2
    1,tbl2.col1,tbl2.col2
    2,tbl2.col1,tbl2.col2
    2,tbl2.col1,tbl2.col2
    3,tbl2.col1,tbl2.col2
    3,tbl2.col1,tbl2.col2
    
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