Dolt is Git for Data!
Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a git repository. Connect to Dolt just like any MySQL database to run queries or update the data using SQL commands. Use the command line interface to import CSV files, commit your changes, push them to a remote, or merge your teammate's changes.
All the commands you know for Git work exactly the same for Dolt. Git versions files, Dolt versions tables. It's like Git and MySQL had a baby!
We also built DoltHub, a place to share Dolt databases. We host public data for free!
Join us on Discord to say hi and ask questions!
What's it for?
Lots of things! Dolt is a generally useful tool with countless applications. But if you want some ideas, here's how people are using it so far.
How do I use it?
Check out our quick-start guide to skip the docs and get started as fast as humanly possible! Or keep reading for a high level overview of how to use the command line tool.
Having problems? Read the FAQ to find answers.
dolt CLI has the same commands as
git, with some extras.
$ dolt Valid commands for dolt are init - Create an empty Dolt data repository. status - Show the working tree status. add - Add table changes to the list of staged table changes. reset - Remove table changes from the list of staged table changes. commit - Record changes to the repository. sql - Run a SQL query against tables in repository. sql-server - Start a MySQL-compatible server. log - Show commit logs. diff - Diff a table. blame - Show what revision and author last modified each row of a table. merge - Merge a branch. branch - Create, list, edit, delete branches. tag - Create, list, delete tags. checkout - Checkout a branch or overwrite a table from HEAD. remote - Manage set of tracked repositories. push - Push to a dolt remote. pull - Fetch from a dolt remote data repository and merge. fetch - Update the database from a remote data repository. clone - Clone from a remote data repository. creds - Commands for managing credentials. login - Login to a dolt remote host. version - Displays the current Dolt cli version. config - Dolt configuration. ls - List tables in the working set. schema - Commands for showing and importing table schemas. table - Commands for copying, renaming, deleting, and exporting tables. conflicts - Commands for viewing and resolving merge conflicts. migrate - Executes a repository migration to update to the latest format. read-tables - Fetch table(s) at a specific commit into a new dolt repo gc - Cleans up unreferenced data from the repository.
From Latest Release
To install on Linux or Mac based systems run this command in your terminal:
sudo bash -c 'curl -L https://github.com/dolthub/dolt/releases/latest/download/install.sh | bash'
This will download the latest
dolt release and put it in
/usr/local/bin/, which is probably on your
The install script needs sudo in order to put
/usr/local/bin. If you don't have root
privileges or aren't comfortable running a script with them, you can download the dolt binary
for your platform from the latest release, unzip it,
and put the binary somewhere on your
Dolt is on Homebrew, updated every release.
brew install dolt
Download the latest Microsoft Installer (
.msi file) in
releases and run
For information on running on Windows, see here.
You can install
dolt using Chocolatey:
choco install dolt
Make sure you have Go installed, and that
go is in your path.
Clone this repository and cd into the
go directory. Then run:
go install ./cmd/dolt
Verify that your installation has succeeded by running
dolt in your
$ dolt Valid commands for dolt are [...]
dolt with your user name and email, which you'll need to
create commits. The commands work exactly the same as git.
$ dolt config --global --add user.email YOU@DOMAIN.COM $ dolt config --global --add user.name "YOUR NAME"
Let's create our first repo, storing state population data.
$ mkdir state-pops $ cd state-pops
dolt init to set up a new
dolt repo, just like you do with
git. Then run some SQL queries to insert data.
$ dolt init Successfully initialized dolt data repository. $ dolt sql -q "create table state_populations ( state varchar(14), population int, primary key (state) )" $ dolt sql -q "show tables" +-------------------+ | tables | +-------------------+ | state_populations | +-------------------+ $ dolt sql -q "insert into state_populations (state, population) values ('Delaware', 59096), ('Maryland', 319728), ('Tennessee', 35691), ('Virginia', 691937), ('Connecticut', 237946), ('Massachusetts', 378787), ('South Carolina', 249073), ('New Hampshire', 141885), ('Vermont', 85425), ('Georgia', 82548), ('Pennsylvania', 434373), ('Kentucky', 73677), ('New York', 340120), ('New Jersey', 184139), ('North Carolina', 393751), ('Maine', 96540), ('Rhode Island', 68825)" Query OK, 17 rows affected
dolt sql to jump into a SQL shell, or run single queries with
$ dolt sql -q "select * from state_populations where state = 'New York'" +----------+------------+ | state | population | +----------+------------+ | New York | 340120 | +----------+------------+
add the new tables and
commit them. Every command matches
exactly, but with tables instead of files.
$ dolt add . $ dolt commit -m "initial data" $ dolt status On branch master nothing to commit, working tree clean
Update the tables with more SQL commands, this time using the shell:
$ dolt sql # Welcome to the DoltSQL shell. # Statements must be terminated with ';'. # "exit" or "quit" (or Ctrl-D) to exit. state_pops> update state_populations set population = 0 where state like 'New%'; Query OK, 3 rows affected Rows matched: 3 Changed: 3 Warnings: 0 state_pops> exit Bye
See what you changed with
$ dolt diff diff --dolt a/state_populations b/state_populations --- a/state_populations @ qqr3vd0ea6264oddfk4nmte66cajlhfl +++ b/state_populations @ 17cinjh5jpimilefd57b4ifeetjcbvn2 +-----+---------------+------------+ | | state | population | +-----+---------------+------------+ | < | New Hampshire | 141885 | | > | New Hampshire | 0 | | < | New Jersey | 184139 | | > | New Jersey | 0 | | < | New York | 340120 | | > | New York | 0 | +-----+---------------+------------+
Then commit your changes once more with
dolt add and
$ dolt add state_populations $ dolt commit -m "More like Old Jersey"
See the history of your repository with
% dolt log commit babgn65p1r5n36ao4gfdj99811qauo8j Author: Zach Musgrave <email@example.com> Date: Wed Nov 11 13:42:27 -0800 2020 More like Old Jersey commit 9hgk7jb7hlkvvkbornpldcopqh2gn6jo Author: Zach Musgrave <firstname.lastname@example.org> Date: Wed Nov 11 13:40:53 -0800 2020 initial data commit 8o8ldh58pjovn8uvqvdq2olf7dm63dj9 Author: Zach Musgrave <email@example.com> Date: Wed Nov 11 13:36:24 -0800 2020 Initialize data repository
If you have data in flat files like CSV or JSON, you can import them
dolt table import command. Use
dolt table import -u to
add data to an existing table, or
dolt table import -c to create a
$ head -n3 data.csv state,population Delaware,59096 Maryland,319728 $ dolt table import -c -pk=state state_populations data.csv
Branch and merge
Just like with git, it's a good idea to make changes on your own
branch, then merge them back to
dolt checkout command
works exactly the same as
$ dolt checkout -b <branch>
merge command works the same too.
$ dolt merge <branch>
Working with remotes
Dolt supports remotes just like git. Remotes are set up automatically when you clone data from one.
$ dolt clone dolthub/corona-virus ... $ cd corona-virus $ dolt remote -v origin https://doltremoteapi.dolthub.com/dolthub/corona-virus
To push to a remote, you'll need credentials. Run
dolt login to open
a browser to sign in and cache your local credentials. You can sign
into DoltHub with your Google account, your Github account, or with a
user name and password.
$ dolt login
If you have a repo that you created locally that you now want to push to a remote, add a remote exactly like you would with git.
$ dolt remote add origin myname/myRepo $ dolt remote -v origin https://doltremoteapi.dolthub.com/myname/myRepo
And then push to it.
$ dolt push origin master
dolt also supports directory, aws, and gcs based remotes:
- file - Use a directory on your machine
dolt remote add <remote> file:///Users/xyz/abs/path/
- aws - Use an S3 bucket
dolt remote add <remote> aws://dynamo-table:s3-bucket/database
- gs - Use a GCS bucket
dolt remote add <remote> gs://gcs-bucket/database
Interesting datasets to clone
DoltHub has lots of interesting datasets to explore and clone. Here are some of our favorites.
- Hospital Price Transparency: https://www.dolthub.com/repositories/dolthub/hospital-price-transparency
- US Presidential Election Precinct Results: https://www.dolthub.com/repositories/dolthub/us-president-precinct-results
- WordNet: https://www.dolthub.com/repositories/dolthub/word-net
- ImageNet: https://www.dolthub.com/repositories/dolthub/image-net
- Google Open Images: https://www.dolthub.com/repositories/dolthub/open-images
- Iris Classification: https://www.dolthub.com/repositories/dolthub/classified-iris-measurements
- Public Holidays: https://www.dolthub.com/repositories/oscarbatori/holidays
- IP Address to Country: https://www.dolthub.com/repositories/dolthub/ip-to-country
Running A SQL Server
Dolt comes built in with a SQL server that you can connect to with either the MySQL client, or your favorite MySQL-compatible tool. Simply run:
You connect with mysql using the default port 3306 as follows. The default username is "root", and the default password is "" (empty password)
mysql -h 127.0.0.1 -u root --port 3306 -p
Checkout these portions of the documentation for more configuration options.
There's a lot more to Dolt than can fit in a README file! For full documentation, check out the docs on DoltHub. Some of the topics we didn't cover here:
- Querying past revisions of your tables
- Selecting the diff between two commits
- Documentation for all CLI commands
Credits and License
Dolt relies heavily on open source code and ideas from the Noms project. We are very thankful to the Noms team for making this code freely available, without which we would not have been able to build Dolt so rapidly.
Dolt is licensed under the Apache License, Version 2.0. See LICENSE for details.