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https://github.com/simonw/sqlite-utils
Python CLI utility and library for manipulating SQLite databases
https://github.com/simonw/sqlite-utils
cli click datasette datasette-io datasette-tool python sqlite sqlite-database
Last synced: 3 days ago
JSON representation
Python CLI utility and library for manipulating SQLite databases
- Host: GitHub
- URL: https://github.com/simonw/sqlite-utils
- Owner: simonw
- License: apache-2.0
- Created: 2018-07-14T03:21:46.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2024-09-03T08:27:16.000Z (3 months ago)
- Last Synced: 2024-10-29T14:04:51.608Z (about 1 month ago)
- Topics: cli, click, datasette, datasette-io, datasette-tool, python, sqlite, sqlite-database
- Language: Python
- Homepage: https://sqlite-utils.datasette.io
- Size: 1.89 MB
- Stars: 1,662
- Watchers: 24
- Forks: 111
- Open Issues: 112
-
Metadata Files:
- Readme: README.md
- Contributing: docs/contributing.rst
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- awesome-sqlite - simonw/sqlite-utils: Python CLI utility and library for manipulating SQLite databases
README
# sqlite-utils
[](https://pypi.org/project/sqlite-utils/)
[](https://sqlite-utils.datasette.io/en/stable/changelog.html)
[](https://pypi.org/project/sqlite-utils/)
[](https://github.com/simonw/sqlite-utils/actions?query=workflow%3ATest)
[](http://sqlite-utils.datasette.io/en/stable/?badge=stable)
[](https://codecov.io/gh/simonw/sqlite-utils)
[](https://github.com/simonw/sqlite-utils/blob/main/LICENSE)
[](https://discord.gg/Ass7bCAMDw)
Python CLI utility and library for manipulating SQLite databases.
## Some feature highlights
- [Pipe JSON](https://sqlite-utils.datasette.io/en/stable/cli.html#inserting-json-data) (or [CSV or TSV](https://sqlite-utils.datasette.io/en/stable/cli.html#inserting-csv-or-tsv-data)) directly into a new SQLite database file, automatically creating a table with the appropriate schema
- [Run in-memory SQL queries](https://sqlite-utils.datasette.io/en/stable/cli.html#querying-data-directly-using-an-in-memory-database), including joins, directly against data in CSV, TSV or JSON files and view the results
- [Configure SQLite full-text search](https://sqlite-utils.datasette.io/en/stable/cli.html#configuring-full-text-search) against your database tables and run search queries against them, ordered by relevance
- Run [transformations against your tables](https://sqlite-utils.datasette.io/en/stable/cli.html#transforming-tables) to make schema changes that SQLite `ALTER TABLE` does not directly support, such as changing the type of a column
- [Extract columns](https://sqlite-utils.datasette.io/en/stable/cli.html#extracting-columns-into-a-separate-table) into separate tables to better normalize your existing data
- [Install plugins](https://sqlite-utils.datasette.io/en/stable/plugins.html) to add custom SQL functions and additional features
Read more on my blog, in this series of posts on [New features in sqlite-utils](https://simonwillison.net/series/sqlite-utils-features/) and other [entries tagged sqliteutils](https://simonwillison.net/tags/sqliteutils/).
## Installation
pip install sqlite-utils
Or if you use [Homebrew](https://brew.sh/) for macOS:
brew install sqlite-utils
## Using as a CLI tool
Now you can do things with the CLI utility like this:
$ sqlite-utils memory dogs.csv "select * from t"
[{"id": 1, "age": 4, "name": "Cleo"},
{"id": 2, "age": 2, "name": "Pancakes"}]
$ sqlite-utils insert dogs.db dogs dogs.csv --csv
[####################################] 100%
$ sqlite-utils tables dogs.db --counts
[{"table": "dogs", "count": 2}]
$ sqlite-utils dogs.db "select id, name from dogs"
[{"id": 1, "name": "Cleo"},
{"id": 2, "name": "Pancakes"}]
$ sqlite-utils dogs.db "select * from dogs" --csv
id,age,name
1,4,Cleo
2,2,Pancakes
$ sqlite-utils dogs.db "select * from dogs" --table
id age name
---- ----- --------
1 4 Cleo
2 2 Pancakes
You can import JSON data into a new database table like this:
$ curl https://api.github.com/repos/simonw/sqlite-utils/releases \
| sqlite-utils insert releases.db releases - --pk id
Or for data in a CSV file:
$ sqlite-utils insert dogs.db dogs dogs.csv --csv
`sqlite-utils memory` lets you import CSV or JSON data into an in-memory database and run SQL queries against it in a single command:
$ cat dogs.csv | sqlite-utils memory - "select name, age from stdin"
See the [full CLI documentation](https://sqlite-utils.datasette.io/en/stable/cli.html) for comprehensive coverage of many more commands.
## Using as a library
You can also `import sqlite_utils` and use it as a Python library like this:
```python
import sqlite_utils
db = sqlite_utils.Database("demo_database.db")
# This line creates a "dogs" table if one does not already exist:
db["dogs"].insert_all([
{"id": 1, "age": 4, "name": "Cleo"},
{"id": 2, "age": 2, "name": "Pancakes"}
], pk="id")
```
Check out the [full library documentation](https://sqlite-utils.datasette.io/en/stable/python-api.html) for everything else you can do with the Python library.
## Related projects
* [Datasette](https://datasette.io/): A tool for exploring and publishing data
* [csvs-to-sqlite](https://github.com/simonw/csvs-to-sqlite): Convert CSV files into a SQLite database
* [db-to-sqlite](https://github.com/simonw/db-to-sqlite): CLI tool for exporting a MySQL or PostgreSQL database as a SQLite file
* [dogsheep](https://dogsheep.github.io/): A family of tools for personal analytics, built on top of `sqlite-utils`