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Home/ Questions/Q 8451017
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Editorial Team
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Editorial Team
Asked: June 10, 20262026-06-10T11:07:28+00:00 2026-06-10T11:07:28+00:00

I’m trying to create a mysql table from a thesaurus text file I got

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I’m trying to create a mysql table from a thesaurus text file I got off project gutenberg; however, I’m having some issues doing it. I was able to write the following script which successfully creates a table with the information:

LOAD DATA LOCAL INFILE 'C:/mthesaur.txt'

    INTO TABLE thesaurus_entries

    COLUMNS
        TERMINATED BY ','

    LINES

        TERMINATED BY '\r\n'

In the text file, the first word is the thesaurus entry, and it is followed by all its synonyms separated by commas. Each entry is separated by a line break.

My problem is that I was originally going to use just one table with a large number of columns, but I can’t figure out how to easily make 100+ columns for the synonyms. I tried doing this:

DELIMITER $$  

CREATE PROCEDURE ABC()

   BEGIN
      DECLARE a INT Default 0 ;
      simple_loop: LOOP
         SET a=a+1;
        ALTER TABLE `thesaurus`.`thesaurus_entries` ADD COLUMN a 
VARCHAR(60) NULL  AFTER `thesaurus_entries_id` ;
         IF a=100 THEN
            LEAVE simple_loop;
         END IF;
   END LOOP simple_loop;
END $$

But all that did was add one column named “a” instead of adding 100 columns named “1, 2, 3, etc.”

If it were easy to make the table as a key value pair (with separate tables for each word’s synomyms), I’d be willing to go that route, but I can’t figure out how to do that from a txt file.

Thank you for your help!

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  1. Editorial Team
    Editorial Team
    2026-06-10T11:07:29+00:00Added an answer on June 10, 2026 at 11:07 am

    You probably don’t want a table with hundreds of columns. Instead, you probably want just two columns, word and synonym. Each row in your input file will generate (potentially) multiple rows in your table.

    You could write a simple preprocessor (in your favorite scripting language) to convert your input file to a list of word,synonym pairs. Then load it as you are doing now.

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