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    Export your PostgreSQL database anonymized. Replace all sensitive data thanks to faker. Output to a file that you can easily import with psql.

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    Run this command by giving a connexion string and an output file name (no need to install first thanks to npx):

    npx pg-anonymizer postgres://user:secret@localhost:1234/mydb -o dump.sql

    ☝️ This command requires pg_dump. It may already be installed as soon as PostgreSQL is installed.

    Output can also be stdout ('-') so you can pipe the output to zip, gz, or to psql:

    npx pg-anonymizer postgres://user:secret@localhost:1234/mydb -o - | psql DATABASE_URL

    Specify list of columns to anonymize

    Use --list option with a comma separated list of column name:

    npx pg-anonymizer postgres://localhost/mydb \

    Specifying another list via --list replace the default automatically anonymized values:


    You can also specify the table for a column using the dot notation:,public.product.description,email,name

    Alternatively use --configFile option to specify a file with a list of column names and optional replacements, one per line:

    npx pg-anonymizer postgres://localhost/mydb \
      --configFile /path/to/file

    Customize replacements

    You can also choose which faker function you want to use to replace data (default is faker.random.word):

    npx pg-anonymizer postgres://localhost/mydb \,

    👉 You don't need to specify faker function since the command will try to find correct function via column name.

    You can use plain text too for static replacements:

    npx pg-anonymizer postgres://localhost/mydb \

    You can even use your custom replacements function from your own javascript module. Here is a simple example to mask all the email.

    npx pg-anonymizer postgres://localhost/mydb \
      --extension ./myExtension.js \
    // myExtension.js
    module.exports = {
      maskEmail: (email) => {
       const [name, domain] = email.split('@');
       const { length: len } = name;
       const maskedName = name[0] + '...' + name[len - 1];
       const maskedEmail = maskedName + '@' + domain;
       return maskedEmail;

    Locale (i18n)

    Use -l to change the locale used by faker (default: en)

    Import the anonymized file

    The anonymized output file is plain SQL text, you can import it with psql.

    psql -d mylocaldb < output.sql


    There are a bunch of competitors, still I failed to use them:

    • postgresql_anonymizer may be hard to setup and may be cumbersome for simple usage. Still, I guess it's the best solution.
    • pganonymize fails when it does not use public schema or columns have uppercase characters
    • pganonymizer also fails with simple cases. Errors are not explicit and silent.



    npm i pg-anonymizer

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