slimdump is a little tool to help you create configurable dumps of large MySQL-databases. It works off one or several configuration files. For every table you specify, it can dump only the schema (CREATE TABLE ... statement), full table data, data without blobs and more.
We created slimdump because we often need to dump parts of MySQL databases in a convenient and reproducible way. Also, when you need to analyze problems with data from your production databases, you might want to pull only relevant parts of data and hide personal data (user names, for example).
mysqldump is a great tool, probably much more proven when it comes to edge cases and with a lot of switches. But there is no easy way to create a simple configuration file that describes a particular type of dump (e.g. a subset of your tables) and share it with your co-workers. Let alone dumping tables and omitting BLOB type columns.
When PHP is your everyday programming language, you probably have Composer installed. You can then easily install slimdump as a global package. Just run composer global require webfactory/slimdump. In order to use it like any other Unix command, make sure $COMPOSER_HOME/vendor/bin is in your $PATH.
Of course, you can also add slimdump as a local (per-project) Composer dependency.
We're also working on providing a .phar package of slimdump for those not using PHP regularly. With that solution, all you need is to have the PHP interpreter installed and to download a single archive file to use slimdump. You can help us and open a pull request for that :-)!
slimdump needs the DSN for the database to dump and one or more config files:
slimdump {DSN} {config-file} [...more config files...]
slimdump writes to STDOUT. If you want your dump written to a file, just redirect the output:
slimdump {DSN} {config-file} > dump.sql
If you want to use an environment variable for the DSN, replace the first parameter with -:
MYSQL_DSN={DSN} slimdump - {config file(s)}
The DSN has to be in the following format:
mysql://[user[:password]@]host[:port]/dbname[?charset=utf8mb4]
For further explanations have a look at the Doctrine documentation.
This turns off printing some progress information on stderr. Useful in scripting contexts.
Example:
slimdump --no-progress {DSN} {config-file}
You can also specify the buffer size, which can be useful on shared environments where your max_allowed_packet is low.
Do this by using the optional cli-option buffer-size. Add a suffix (KB, MB or GB) to the value for better readability.
Example:
slimdump --buffer-size=16MB {DSN} {config-file}
If you have tables with a large number of rows to dump and you are not planning to keep your dumps under version
control, you might consider writing each INSERT INTO-statement to a single line instead of one line per row. You can
do this by using the cli-parameter single-line-insert-statements. This can speed up the import significantly.
Example:
slimdump --single-line-insert-statements {DSN} {config-file}
This option turns on the CSV (comma separated values) output mode. It must be given the path to a directory where .csv files will be created. The files are named according to tables, e. g. my_table.csv.
CSV files contain only data. They are not created for views, triggers, or tables dumped with the schema dump mode. Also, no files will be created for empty tables.
Since this output format needs to write to different files for different tables, redirecting stdout output (as can be done for the default MySQL SQL mode) is not possible.
Experimental Feature CSV support is a new, experimental feature. The output formatting may change at any time.
Configuration is stored in XML format somewhere in your filesystem. As a benefit, you could add the configuration to your repository to share a quickstart to your database dump with your coworkers.
Example:
<?xml version="1.0" ?>
<slimdump>
<!-- Create a full dump (schema + data) of "some_table" -->
<table name="some_table" dump="full" />
<!-- Dump the "media" table, omit BLOB fields. -->
<table name="media" dump="noblob" />
<!-- Dump the "user" table, hide names and email addresses. -->
<table name="user" dump="full">
<column name="username" dump="masked" />
<column name="email" dump="masked" />
<column name="password" dump="replace" replacement="test" />
</table>
<!-- Dump the "document" table but do not pass the "AUTO_INCREMENT" parameter to the SQL query.
Instead start to increment from the beginning -->
<table name="document" dump="full" keep-auto-increment="false" />
<!--
Trigger handling:
By default, CREATE TRIGGER statements will be dumped for all tables, but the "DEFINER=..."
clause will be removed to make it easier to re-import the database e. g. in development
environments.
You can change this by setting 'dump-triggers' to one of:
- 'false' or 'none': Do not dump triggers at all
- 'true' or 'no-definer': Dump trigger creation statement but remove DEFINER=... clause
- 'keep-definer': Keep the DEFINER=... clause
-->
<table name="events" dump="schema" dump-triggers="false" />
<!--
View handling:
A configured <table> may also be a database view. A CREATE VIEW statement will be issued
in that case, but the "DEFINER=..." clause will be removed to make it easier to re-import
the database e. g. in development environments.
You can change this by setting 'view-definers' to one of:
- 'no-definer': Dump view creation statement but remove DEFINER=... clause
- 'keep-definer': Keep the DEFINER=... clause
'no-definer' is the default if the 'view-definers' attribute is omitted.
-->
<table name="aggregated_data_view" dump="schema" view-definers="no-definer" />
</slimdump>You may want to select only some rows. In that case you can define a condition on a table.
<?xml version="1.0" ?>
<slimdump>
<!-- Dump all users whose usernames begin with foo -->
<table name="user" dump="full" condition="`username` LIKE 'foo%'" />
</slimdump>In this example, only users with a username starting with 'foo' are exported: A simple way to export roughly a percentage of the users is this:
<?xml version="1.0" ?>
<slimdump>
<!-- Dump every tenth user -->
<table name="user" dump="full" condition="id % 10 = 0" />
</slimdump>This will export only the users with an id divisible by ten without a remainder, e.g. about 1/10th of the user rows (given the ids are evenly distributed).
If you want to keep referential integrity, you might have to configure a more complex condition like this:
<?xml version="1.0" ?>
<slimdump>
<!-- Dump all users whose usernames begin with foo -->
<table name="user" dump="full" condition="id IN (SELECT author_id FROM blog_posts UNION SELECT author_id from comments)" />
</slimdump>In this case, we export only users that are referenced in other tables, e.g. that are authors of blog posts or comments.
The following modes are supported for the dump attribute:
none- Table is not dumped at all. Makes sense if you use broad wildcards (see below) and then want to exclude a specific table.schema- Only the table schema will be dumpednoblob- Will dump aNULLvalue for BLOB fieldsfull- Whole table will be dumpedmasked- Replaces all chars with "x". Mostly makes sense when applied on the column level, for example for email addresses or user names.replace- When applied on a element, it replaces the values in this column with either a static value, or a nice dummy value generated by Faker. Useful e.g. to replace passwords with a static one or to replace personal data like the first and last name with realistically sounding dummy data.
Of course, you can use wildcards for table names (* for multiple characters, ? for a single character).
Example:
<?xml version="1.0" ?>
<slimdump>
<!-- Default: dump all tables -->
<table name="*" dump="full" />
<!-- Dump all tables beginning with "a_" as schema -->
<table name="a_*" dump="schema" />
<!-- Dump "big_blob_table" without blobs -->
<table name="big_blob_table" dump="noblob" />
<!-- Do not dump any tables ending with "_test" -->
<table name="*_test" dump="none" />
</slimdump>This is a valid configuration. If more than one instruction matches a specific table name, the most specific one will be used. E.g. if you have definitions for blog_* and blog_author, the latter will be used for your author table, independent of their sequence order in the config.
You probably don't want to use any personal data from your database. Therefore, slimdump allows you to replace data on column level - a great instrument not only for General Data Protection Regulation (GDPR) compliance.
The simplest replacement is a static one:
<?xml version="1.0" ?>
<slimdump>
<table name="users" dump="full">
<column name="password" dump="replace" replacement="test" />
</table>
</slimdump>This replaces the password values of all users with "test" (in clear text - but for sure you have some sort of hashing in place, do you?).
To achieve realistically sounding dummy data, slimdump also allows basic Faker formatters.
You can use every Faker formatter which needs no arguments and modifiers such as unique (just seperate the modifier
with an object operator (->), as you would do in PHP). This is especially useful if your table has a unique constraint
on a column containing personal information, like the email address.
<?xml version="1.0" ?>
<slimdump>
<table name="users" dump="full">
<column name="username" dump="replace" replacement="FAKER_word" />
<column name="password" dump="replace" replacement="test" />
<column name="firstname" dump="replace" replacement="FAKER_firstName" />
<column name="lastname" dump="replace" replacement="FAKER_lastName" />
<column name="email" dump="replace" replacement="FAKER_unique->safeEmail" />
</table>
</slimdump>Currently, only MySQL is supported. Feel free to port it to the database of your needs.
- Make sure Phive is installed
- Run
phive installto install tools, including Box - Run
composer install --no-devto make sure thevendor/folder is up to date - Run
tools/box compileto buildslimdump.phar.
You can execute the phpunit-tests by calling vendor/bin/phpunit.
This tool was written by webfactory GmbH, Bonn, Germany. We're a software development agency with a focus on PHP (mostly Symfony). We're big fans of automation, DevOps, CI and CD, and of open source in general.
If you're a developer looking for new challenges, we'd like to hear from you! Otherwise, if this tool is useful for you, add a ⭐️.
Copyright 2014-2022 webfactory GmbH, Bonn. Code released under the MIT license.