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https://github.com/simonw/db-to-sqlite

CLI tool for exporting tables or queries from any SQL database to a SQLite file
https://github.com/simonw/db-to-sqlite

datasette datasette-io datasette-tool sqlalchemy sqlite

Last synced: about 21 hours ago
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CLI tool for exporting tables or queries from any SQL database to a SQLite file

Host: GitHub
URL: https://github.com/simonw/db-to-sqlite
Owner: simonw
License: apache-2.0
Created: 2019-01-17T04:16:48.000Z (almost 6 years ago)
Default Branch: main
Last Pushed: 2023-02-28T07:16:21.000Z (almost 2 years ago)
Last Synced: 2024-10-30T00:33:28.226Z (about 2 months ago)
Topics: datasette, datasette-io, datasette-tool, sqlalchemy, sqlite
Language: Python
Homepage:
Size: 70.3 KB
Stars: 370
Watchers: 9
Forks: 29
Open Issues: 21
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

awesome-sqlite - db-to-sqlite - CLI tool for exporting databases to SQLite. (Tools)

README

# db-to-sqlite

[![PyPI](https://img.shields.io/pypi/v/db-to-sqlite.svg)](https://pypi.python.org/pypi/db-to-sqlite)
[![Changelog](https://img.shields.io/github/v/release/simonw/db-to-sqlite?include_prereleases&label=changelog)](https://github.com/simonw/db-to-sqlite/releases)
[![Tests](https://github.com/simonw/db-to-sqlite/workflows/Test/badge.svg)](https://github.com/simonw/db-to-sqlite/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/db-to-sqlite/blob/main/LICENSE)

CLI tool for exporting tables or queries from any SQL database to a SQLite file.

## Installation

Install from PyPI like so:

pip install db-to-sqlite

If you want to use it with MySQL, you can install the extra dependency like this:

pip install 'db-to-sqlite[mysql]'

Installing the `mysqlclient` library on OS X can be tricky - I've found [this recipe](https://gist.github.com/simonw/90ac0afd204cd0d6d9c3135c3888d116) to work (run that before installing `db-to-sqlite`).

For PostgreSQL, use this:

pip install 'db-to-sqlite[postgresql]'

## Usage
```
Usage: db-to-sqlite [OPTIONS] CONNECTION PATH

Load data from any database into SQLite.

PATH is a path to the SQLite file to create, e.c. /tmp/my_database.db

CONNECTION is a SQLAlchemy connection string, for example:

postgresql://localhost/my_database
postgresql://username:passwd@localhost/my_database

mysql://root@localhost/my_database
mysql://username:passwd@localhost/my_database

More: https://docs.sqlalchemy.org/en/13/core/engines.html#database-urls

Options:
--version Show the version and exit.
--all Detect and copy all tables
--table TEXT Specific tables to copy
--skip TEXT When using --all skip these tables
--redact TEXT... (table, column) pairs to redact with ***
--sql TEXT Optional SQL query to run
--output TEXT Table in which to save --sql query results
--pk TEXT Optional column to use as a primary key
--index-fks / --no-index-fks Should foreign keys have indexes? Default on
-p, --progress Show progress bar
--postgres-schema TEXT PostgreSQL schema to use
--help Show this message and exit.
```

For example, to save the content of the `blog_entry` table from a PostgreSQL database to a local file called `blog.db` you could do this:

db-to-sqlite "postgresql://localhost/myblog" blog.db \
--table=blog_entry

You can specify `--table` more than once.

You can also save the data from all of your tables, effectively creating a SQLite copy of your entire database. Any foreign key relationships will be detected and added to the SQLite database. For example:

db-to-sqlite "postgresql://localhost/myblog" blog.db \
--all

When running `--all` you can specify tables to skip using `--skip`:

db-to-sqlite "postgresql://localhost/myblog" blog.db \
--all \
--skip=django_migrations

If you want to save the results of a custom SQL query, do this:

db-to-sqlite "postgresql://localhost/myblog" output.db \
--output=query_results \
--sql="select id, title, created from blog_entry" \
--pk=id

The `--output` option specifies the table that should contain the results of the query.

## Using db-to-sqlite with PostgreSQL schemas

If the tables you want to copy from your PostgreSQL database aren't in the default schema, you can specify an alternate one with the `--postgres-schema` option:

db-to-sqlite "postgresql://localhost/myblog" blog.db \
--all \
--postgres-schema my_schema

## Using db-to-sqlite with MS SQL

The best way to get the connection string needed for the MS SQL connections below is to use urllib from the Standard Library as below

params = urllib.parse.quote_plus(
"DRIVER={SQL Server Native Client 11.0};"
"SERVER=localhost;"
"DATABASE=my_database;"
"Trusted_Connection=yes;"
)

The above will resolve to

DRIVER%3D%7BSQL+Server+Native+Client+11.0%7D%3B+SERVER%3Dlocalhost%3B+DATABASE%3Dmy_database%3B+Trusted_Connection%3Dyes

You can then use the string above in the odbc_connect below

mssql+pyodbc:///?odbc_connect=DRIVER%3D%7BSQL+Server+Native+Client+11.0%7D%3B+SERVER%3Dlocalhost%3B+DATABASE%3Dmy_database%3B+Trusted_Connection%3Dyes
mssql+pyodbc:///?odbc_connect=DRIVER%3D%7BSQL+Server+Native+Client+11.0%7D%3B+SERVER%3Dlocalhost%3B+DATABASE%3Dmy_database%3B+UID%3Dusername%3B+PWD%3Dpasswd

## Using db-to-sqlite with Heroku Postgres

If you run an application on [Heroku](https://www.heroku.com/) using their [Postgres database product](https://www.heroku.com/postgres), you can use the `heroku config` command to access a compatible connection string:

$ heroku config --app myappname | grep HEROKU_POSTG
HEROKU_POSTGRESQL_OLIVE_URL: postgres://username:[email protected]:5432/dbname

You can pass this to `db-to-sqlite` to create a local SQLite database with the data from your Heroku instance.

You can even do this using a bash one-liner:

$ db-to-sqlite $(heroku config --app myappname | grep HEROKU_POSTG | cut -d: -f 2-) \
/tmp/heroku.db --all -p
1/23: django_migrations
...
17/23: blog_blogmark
[####################################] 100%
...

## Related projects

* [Datasette](https://github.com/simonw/datasette): A tool for exploring and publishing data. Works great with SQLite files generated using `db-to-sqlite`.
* [sqlite-utils](https://github.com/simonw/sqlite-utils): Python CLI utility and library for manipulating SQLite databases.
* [csvs-to-sqlite](https://github.com/simonw/csvs-to-sqlite): Convert CSV files into a SQLite database.

## Development

To set up this tool locally, first checkout the code. Then create a new virtual environment:

cd db-to-sqlite
python3 -m venv venv
source venv/bin/activate

Or if you are using `pipenv`:

pipenv shell

Now install the dependencies and test dependencies:

pip install -e '.[test]'

To run the tests:

pytest

This will skip tests against MySQL or PostgreSQL if you do not have their additional dependencies installed.

You can install those extra dependencies like so:

pip install -e '.[test_mysql,test_postgresql]'

You can alternative use `pip install psycopg2-binary` if you cannot install the `psycopg2` dependency used by the `test_postgresql` extra.

See [Running a MySQL server using Homebrew](https://til.simonwillison.net/homebrew/mysql-homebrew) for tips on running the tests against MySQL on macOS, including how to install the `mysqlclient` dependency.

The PostgreSQL and MySQL tests default to expecting to run against servers on localhost. You can use environment variables to point them at different test database servers:

- `MYSQL_TEST_DB_CONNECTION` - defaults to `mysql://root@localhost/test_db_to_sqlite`
- `POSTGRESQL_TEST_DB_CONNECTION` - defaults to `postgresql://localhost/test_db_to_sqlite`

The database you indicate in the environment variable - `test_db_to_sqlite` by default - will be deleted and recreated on every test run.