README.md
# MasKING🤴
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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.
## 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 ~ inspired by Unix Philosophy.
### No External Dependency
Depend on only pure language standard libraries, no external libraries
### Quality of Code
Heavily inspired by TDD. please see detail in presentation below.
## Presentation / Demo
[![presentation](https://img.youtube.com/vi/tnGLUhmHclI/0.jpg)](https://www.youtube.com/watch?v=oml7dcDo_jo)
[demo](https://www.youtube.com/watch?v=tnGLUhmHclI) / slide: [Generate anonymised database with MasKING](https://speakerdeck.com/kibitan/generate-anonymised-database-with-masking-2023-dot-09-dot-21-euruko-unconference-talk)
## Installation
```bash
gem install masking
```
## Requirement
* Ruby 2.6/2.7/3.0/3.1/3.2/3.3
## Supporting RDBMS
* MySQL: 5.7, 8.0, 8.1
* MariaDB: 10.2<sup>[1](#footnote1)</sup>, 10.3<sup>[1](#footnote1)</sup>, 10.4, 10.5, 10.6, 10.7<sup>[1](#footnote1)</sup>, 10.8<sup>[1](#footnote1)</sup>, 10.9<sup>[1](#footnote1)</sup>, 10.10, 10.11, 11.0, 11.1
## Usage
1. Setup configuration for anonymizing target tables/columns to `masking.yml`
*NOTE: the columns which doesn't mention here will be NOT anonymized, it stays as it is.*
```yaml
# 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=
# When a column name is suffixed with `?`, the original NULL value will not be anonymized.
# This option can be beneficial for simulating SQL execution that closely resembles the original data.
nullable_string?: anonymized nullable %{n} string
```
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](http://yaml.org/spec/current.html#id2503753)
```yaml
not-date: !!str 2002-04-28
```
String should be matched with [MySQL String Type]( https://dev.mysql.com/doc/refman/8.0/en/string-type-overview.html). Integer/Float should be matched with [MySQL Numeric Type](https://dev.mysql.com/doc/refman/8.0/en/numeric-type-overview.html). Date/Time should be matched with [MySQL Date and Time Type](https://dev.mysql.com/doc/refman/8.0/en/date-and-time-type-overview.html).
*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.*
1. Dump database with anonymizing
MasKING works with `mysqldump --complete-insert`
```bash
mysqldump --complete-insert -u USERNAME DATABASE_NAME | masking > anonymized_dump.sql
```
1. Restore from the anonymized dump file
```bash
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.
```bash
mysqldump --complete-insert -u USERNAME DATABASE_NAME | masking | mysql -u USERNAME ANONYMIZED_DATABASE_NAME
```
### options
```bash
$ 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
```bash
git clone git@github.com: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
```bash
bundle exec exe/masking
```
### Run test & rubocop & notes
```bash
bundle exec rake
```
#### acceptance test
```bash
./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`)
NOTE: run with `TRACE=1` will show debug print. for the CI, `TRACE` environment variable on [setting field in the repository](https://github.com/kibitan/masking/settings/variables/actions/TRACE)
##### with docker-compose
```bash
docker-compose -f docker-compose.yml -f docker-compose/mysql80.yml run -e MYSQL_HOST=mysql80 app acceptance/run_test.sh
```
or
```bash
docker-compose/acceptance_test.sh mysql80
```
The docker-compose file names for other database versions, specify that file.
* MySQL 8.1: [`docker-compose/mysql80.yml`](./docker-compose/mysql81.yml)
* MySQL 8.0: [`docker-compose/mysql80.yml`](./docker-compose/mysql80.yml)
* MySQL 5.7: [`docker-compose/mysql57.yml`](./docker-compose/mysql57.yml)
* MariaDB 11.1: [`docker-compose/mariadb111.yml`](./docker-compose/mariadb111.yml)
* MariaDB 11.0: [`docker-compose/mariadb110.yml`](./docker-compose/mariadb110.yml)
* MariaDB 10.11: [`docker-compose/mariadb1011.yml`](./docker-compose/mariadb1011.yml)
* MariaDB 10.10: [`docker-compose/mariadb1010.yml`](./docker-compose/mariadb1010.yml)
* MariaDB 10.9<sup>[1](#footnote1): [`docker-compose/mariadb109.yml`](./docker-compose/mariadb109.yml)
* MariaDB 10.8<sup>[1](#footnote1): [`docker-compose/mariadb108.yml`](./docker-compose/mariadb108.yml)
* MariaDB 10.7<sup>[1](#footnote1): [`docker-compose/mariadb107.yml`](./docker-compose/mariadb107.yml)
* MariaDB 10.6: [`docker-compose/mariadb106.yml`](./docker-compose/mariadb106.yml)
* MariaDB 10.5: [`docker-compose/mariadb105.yml`](./docker-compose/mariadb105.yml)
* MariaDB 10.4: [`docker-compose/mariadb104.yml`](./docker-compose/mariadb104.yml)
* MariaDB 10.3<sup>[1](#footnote1): [`docker-compose/mariadb103.yml`](./docker-compose/mariadb103.yml)
* MariaDB 10.2<sup>[1](#footnote1)</sup>: [`docker-compose/mariadb102.yml`](./docker-compose/mariadb102.yml)
#### [Markdown lint](https://github.com/markdownlint/markdownlint)
```bash
bundle exec mdl *.md
```
## Development with Docker
```bash
docker build . -t masking
echo "sample stdout" | docker run -i masking
docker run masking -v
docker run --entrypoint sh -it masking # inside of docker container
```
## Profiling
use `bin/masking_profile`
```bash
$ 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
```
see also: [ruby-prof/ruby-prof: ruby-prof: a code profiler for MRI rubies](https://github.com/ruby-prof/ruby-prof)
### Benchmark
use `benchmark/run.rb`
```bash
$ benchmark/run.rb
user system total real
1.103012 0.009460 1.112472 ( 1.123093)
```
## Future Todo
* Pluggable/customizable for a mask way e.g. integrate with [Faker](https://github.com/stympy/faker)
* Parse the schema information and validate the target columns value
* Performance optimization
* Write in the streaming process
* rewrite by another language?
* establish benchmark
## Contributing
Bug reports and pull requests are welcome on GitHub at [https://github.com/kibitan/masking](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](http://contributor-covenant.org) code of conduct.
## License
The gem is available as open source under the terms of the [MIT License](https://opensource.org/licenses/MIT).
## 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](https://github.com/kibitan/masking/blob/main/CODE_OF_CONDUCT.md).
<a name="footnote1">1</a>: <small> MariaDB 10.2, 10.3, 10.7, 10.8, 10.9 is already not supported by [official](https://mariadb.org/about/maintenance-policy/)</small>