Klepto is a tool for copying and anonymising data
Klepto is a tool for copying and anonymising data
Klepto is a tool that copies and anonymises data from other sources.
Klepto helps you to keep the data in your environment as consistent as possible by copying it from another environment's database.
You can use Klepto to get production data but without sensitive customer information for your testing or local debugging.
If you need to get data from a database type that you don't see here, build it yourself and add it to this list. Contributions are welcomed :)
Klepto is written in Go with support for multiple platforms. Pre-built binaries are provided for the following:
You can download the binary for your platform of choice from the releases page.
Once downloaded, the binary can be run from anywhere. We recommend that you move it into your
$PATHfor easy use, which is usually at
Klepto uses a configuration file called
.klepto.tomlto define your table structure. If your table is normalized, the structure can be detected automatically.
For dumping the last 10 created active users, your file will look like this:
[[Tables]] Name = "users" [Tables.Anonymise] email = "EmailAddress" username = "FirstName" password = "SimplePassword" [Tables.Filter] Match = "users.status = 'active'" Limit = 10 [Tables.Filter.Sorts] created_at = "desc"
After you have created the file, run:
sh klepto steal \ --from="postgres://user:[email protected]/fromDB?sslmode=disable" \ --to="postgres://user:[email protected]/toDB?sslmode=disable" \
sh klepto steal \ --from="user:[email protected](localhost:3306)/fromDB?sslmode=disable" \ --to="user:[email protected](localhost:3306)/toDB?sslmode=disable" \
Behind the scenes Klepto will establishes the connection with the source and target databases with the given parameters passed, and will dump the tables.
Available options can be seen by running
klepto steal --help
❯ klepto steal --help Steals and anonymises databases
Usage: klepto steal [flags]
Flags: --concurrency int Sets the amount of dumps to be performed concurrently (default 12) -c, --config string Path to config file (default ".klepto.toml") -f, --from string Database dsn to steal from (default "mysql://root:[email protected](localhost:3306)/klepto") -h, --help help for steal --read-conn-lifetime duration Sets the maximum amount of time a connection may be reused on the read database --read-max-conns int Sets the maximum number of open connections to the read database (default 5) --read-max-idle-conns int Sets the maximum number of connections in the idle connection pool for the read database --read-timeout duration Sets the timeout for read operations (default 5m0s) -t, --to string Database to output to (default writes to stdOut) (default "os://stdout/") --to-rds If the output server is an AWS RDS server --write-conn-lifetime duration Sets the maximum amount of time a connection may be reused on the write database --write-max-conns int Sets the maximum number of open connections to the write database (default 5) --write-max-idle-conns int Sets the maximum number of connections in the idle connection pool for the write database --write-timeout duration Sets the timeout for write operations (default 30s)
Global Flags: -v, --verbose Make the operation more talkative
We recommend to always set the following parameters: -
concurrencyto alleviate the pressure over both the source and target databases. -
read-max-connsto limit the number of open connections, so that the source database does not get overloaded.
You can set a number of keys in the configuration file. Below is a list of all configuration options, followed by some examples of specific keys.
Matchers- Variables to store filter data. You can declare a filter once and reuse it among tables.
Tables- A Klepto table definition.
Name- The table name.
IgnoreData- A flag to indicate whether data should be imported or not. If set to true, it will dump the table structure without importing data.
Filter- A Klepto definition to filter results.
Match- A condition field to dump only certain amount data. The value may be either expression or correspond to an existing
Limit- The number of results to be fetched.
Sorts- Defines how the table is sorted.
Anonymise- Indicates which columns to anonymise.
Relationships- Represents a relationship between the table and referenced table.
Table- The table name.
ForeignKey- The table's foreign key.
ReferencedTable- The referenced table name.
ReferencedKey- The referenced table primary key.
You can dump the database structure without importing data by setting the
toml [[Tables]] Name = "logs" IgnoreData = true
Matchers are variables to store filter data. You can declare a filter once and reuse it among tables: ```toml [[Matchers]] Latest100Users = "ORDER BY users.created_at DESC LIMIT 100"
[[Tables]] Name = "users" [Tables.Filter] Match = "Latest100Users"
[[Tables]] Name = "orders" [[Tables.Relationships]] ForeignKey = "user_id" ReferencedTable = "users" ReferencedKey = "id" [Tables.Filter] Match = "Latest100Users" ```
See examples for more.
You can anonymise specific columns in your table using the
Anonymisekey. Anonymisation is performed by running a Faker against the specified column.
[[Tables]] Name = "customers" [Tables.Anonymise] email = "EmailAddress" firstName = "FirstName"
[[Tables]] Name = "users" [Tables.Anonymise] email = "EmailAddress" password = "literal:1234"
This would replace these 4 columns from the
userstables and run
fake.FirstNameagainst them respectively. We can use
literal:[some-constant-value]to specify a constant we want to write for a column. In this case,
password = "literal:1234"would write
1234for every row in the password column of the users table.
Available data types can be found in fake.go. This file is generated from https://github.com/icrowley/fake (it must be generated because it is written in such a way that Go cannot reflect upon it).
We generate the file with the following:
$ go get github.com/ungerik/pkgreflect $ fake master pkgreflect -notypes -novars -norecurs vendor/github.com/icrowley/fake/
Relationshipskey represents a relationship between the table and referenced table.
To dump the latest 100 users with their orders: ```toml [[Tables]] Name = "users" [Tables.Filter] Limit = 100 [Tables.Filter.Sorts] created_at = "desc"
[[Tables]] Name = "orders" [[Tables.Relationships]] # behind the scenes klepto will create a inner join between orders and users ForeignKey = "userid" ReferencedTable = "users" ReferencedKey = "id" [Tables.Filter] Limit = 100 [Tables.Filter.Sorts] createdat = "desc" ```
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
This project is licensed under the MIT License - see the LICENSE file for details