MasKING🤴

The command line tool for anonymizing database records by parsing a SQL dump file and build a new SQL dump file with masking sensitive/credential data.

Installation

gem install masking

Requirement

Ruby 2.5/2.6/2.7/3.0(preview)

Supported RDBMS

MySQL: 5.5¹, 5.6, 5.7, 8.0
MariaDB: 5.5, 10.0², 10.1, 10.2, 10.3, 10.4

Usage

Setup configuration for anonymizing target tables/columns to masking.yml

  # table_name:
  #   column_name: masked_value

  users:
    string: anonymized string
    email: anonymized+%{n}@example.com # %{n} will be replaced with sequential number
    integer: 12345
    float: 123.45
    boolean: true
    null_column: null
    date: 2018-08-24
    time: 2018-08-24 15:54:06
    binary_or_blob: !binary | # Binary Data Language-Independent Type for YAML™ Version 1.1: http://yaml.org/type/binary.html
      R0lGODlhDAAMAIQAAP//9/X17unp5WZmZgAAAOfn515eXvPz7Y6OjuDg4J+fn5
      OTk6enp56enmlpaWNjY6Ojo4SEhP/++f/++f/++f/++f/++f/++f/++f/++f/+
      +f/++f/++f/++f/++f/++SH+Dk1hZGUgd2l0aCBHSU1QACwAAAAADAAMAAAFLC
      AgjoEwnuNAFOhpEMTRiggcz4BNJHrv/zCFcLiwMWYNG84BwwEeECcgggoBADs=

A value will be implicitly converted to a compatible type. If you prefer to explicitly convert, you could use a tag as defined in YAML Version 1.1

  not-date: !!str 2002-04-28

String should be matched with MySQL String Type. Integer/Float should be matched with MySQL Numeric Type. Date/Time should be matched with MySQL Date and Time Type.

NOTE: MasKING doesn't check actual schema's type from the dump. If you put incompatible value it will cause an error during restoring to the database.

Dump database with anonymizing

MasKING works with mysqldump --complete-insert

  mysqldump --complete-insert -u USERNAME DATABASE_NAME | masking > anonymized_dump.sql

Restore from the anonymized dump file
```
  mysql -u USERNAME ANONYMIZED_DATABASE_NAME < anonymized_dump.sql
```
Tip: If you don't need to have an anonymized dump file, you can directly insert it from the stream. It can be faster because it has less IO interaction.
```
  mysqldump --complete-insert -u USERNAME DATABASE_NAME | masking | mysql -u USERNAME ANONYMIZED_DATABASE_NAME
```

options

$ masking -h
Usage: masking [options]
    -c, --config=FILE_PATH           specify config file. default: masking.yml
    -v, --version                    version

Use case of anonymized (production) database

Analyzing production databases for BI, Machine Learning, troubleshooting with respecting GDPR
Stress test / Integration test
Performance optimization for slow query

The analyzing slow query often needs a similar amount of records/cardinality with production, the anonymized database help to analyze and tune the slow query.
Simulating database migration

Some schema migration locks table and it causes trouble during the execution. With a smaller amount of database, the migration will finish in a short time and easy to overlook the problem. With the anonymized production database, it is easy to simulate the migration as the real release and makes it easy to find the problem.
Better feature development flow

Using similar data with the production database makes better development experience. It makes easy to find out the things which should be changed/fixed. Also, some bugs are related to unexpected data in production, it makes easy to find them too.
And… your idea here!

Development

git clone [email protected]:kibitan/masking.git
bin/setup

You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install.

boot

  bundle exec exe/masking

Run test & rubocop & notes

  bundle exec rake

acceptance test

./acceptance/run_test.sh

available option via environment variable:

MYSQL_HOST: database host(default: localhost)
MYSQL_USER: mysql user name(default: mysqluser}
MYSQL_PASSWORD: password for user(default: password)
MYSQL_DBNAME: database name(default: mydb)

with docker-compose

docker-compose -f docker-compose.yml -f docker-compose/mysql80.yml run -e MYSQL_HOST=mysql80 app acceptance/run_test.sh

docker-compose/acceptance_test.sh mysql80

The docker-compose file names for other database versions, specify that file.

MySQL 8.0: docker-compose/mysql80.yml
MySQL 5.7: docker-compose/mysql57.yml
MySQL 5.6: docker-compose/mysql56.yml
MySQL 5.5¹: docker-compose/mysql55.yml
MariaDB 10.4: docker-compose/mariadb104.yml
MariaDB 10.3: docker-compose/mariadb103.yml
MariaDB 10.2: docker-compose/mariadb102.yml
MariaDB 10.1: docker-compose/mariadb101.yml
MariaDB 10.0²: docker-compose/mariadb100.yml
MariaDB 5.5: docker-compose/mariadb55.yml

Markdown lint

bundle exec mdl *.md

Development with Docker

docker build . -t masking
echo "sample stdout" | docker run -i masking
docker run masking -v

Profiling

use bin/masking_profile

 $ cat your_sample.sql | bin/masking_profile
flat result is saved at /your/repo/profile/flat.txt
graph result is saved at /your/repo/profile/graph.txt
graph html is saved at /your/repo/profile/graph.html

 $ open profile/flat.txt

Benchmark

use benchmark/run.rb

$ benchmark/run.rb
       user     system      total        real
   1.103012   0.009460   1.112472 (  1.123093)

Design Concept

KISS ~ keep it simple, stupid ~

No connection to the database, No handling files, Only dealing with stdin/stdout. ~ Do One Thing and Do It Well ~

No External Dependency

Depend on only pure language standard libraries, no external libraries

Future Todo

Pluggable/customizable for a mask way e.g. integrate with Faker
Compatible with other RDBMS e.g. PostgreSQL, Oracle, SQL Server
Parse the schema type information and validate target columns value
Performance optimization
- Write in the streaming process
- rewrite by another language?
Well-documentation

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/kibitan/masking. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

License

The gem is available as open source under the terms of the MIT License.

Code of Conduct

Everyone interacting in the Masking project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.

1: MySQL 5.5 is already not supported by official

2: MariaDB 10.0 is already not supported by official

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