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Re^2: Help Sorting a CSV File

by Tanktalus (Canon)
on Oct 06, 2019 at 19:42 UTC ( #11107109=note: print w/replies, xml ) Need Help??


in reply to Re: Help Sorting a CSV File
in thread Help Sorting a CSV File

THIS. If you have data, treat it as data. It's a bit more work to set up the first time, but after that it's so much easier - switching from csv to sqlite to mysql to Db2 to ... doesn't matter, it's so much easier once you see your data as actual data rather than a file format to fight with.

Life has taken me far afield from Perl (mostly C# and Javascript nowadays), but there's so much I've learned in perl that is relatively straight forward in other languages. Except this one: treating a csv file as a source for SQL without having to import it into an actual database system. There's lots I miss about perl, and many things in other languages that are the same (with a different, usually longer, syntax), but this one tops my list. You're using perl, take advantage of it.

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Re^3: Help Sorting a CSV File
by erix (Prior) on Oct 07, 2019 at 10:20 UTC

    I agree.

    However, there is a another step in-between text and database, in the form of a "Foreign Data Wrapper", to let the database serve up the underlying (csv-)textfile:

    psql -qX << SQL_TXT create server if not exists temp_fs foreign data wrapper file_fdw; drop foreign table if exists ft_pm2 cascade; create foreign table ft_pm2 ( "CAT_HEADER" text , "SUPPLIER_CODE" text , "CUSTOMER_CODE" text , "F4" text , "F5" text , "F6" text , "F7" text , "F8" numeric ) server temp_fs options ( format 'csv' , header 'true' , filename '/tmp/data.txt' ); copy(select * from ft_pm2 order by 2, 3) to stdout with (format csv, h +eader true); SQL_TXT

    Results are (again):

    CAT_HEADER,SUPPLIER_CODE,CUSTOMER_CODE,F4,F5,F6,F7,F8 CAT_LINE,0001P,ABC12345,20190924,,1,Z,3.36 CAT_LINE,0001P,ABC23456,20190924,,1,Z,2.14 CAT_LINE,0001P,ABC34567,20190924,,1,Z,12.23 CAT_LINE,0002P,ABC12345,20190924,,1,Z,4.26 CAT_LINE,0002P,ABC23456,20190924,,1,Z,1.21 CAT_LINE,0002P,ABC34567,20190924,,1,Z,22.24

    Such SQL using a 'Foreign Table' reads the underlying csv/text file(s). The annoying part is setting up the table , for instance in the case of tables with hundreds of columns you need a separate little application to do that, and this is where perl comes in handy (reading the header line and turning it into the CREATE TABLE column-list).

    Weaknesses and strengths:

    Advantages: SQL access to csv data. DBD::CSV delivers SQL as in SQL::Statement::Syntax which is nice but basic. The Data Wrapper's Foreign Table gives you access to the data via the full postgres SQL engine: Window Functions, Grouping Sets/Cube/Rollup, Generated Columns, Partitioning , etc., etc.)

    Disadvantages: Needs Postgres, and with extension file_fdw installed. Table remains read-only. No indexing possible, so that huge csv-files can make it slow (alhough 'copying' onto a materialized view [3] on the foreign table makes of course indexing possible again). Filesystem access for the postgres superuser is necessary.

    It all depends what you want to do.

    [1] file_fdw - this foreign data wrapper reads text files

    [2] Create Server

    [3] Create Foreign Table

    [4] Create Materialized View

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