2018-07-13 20:56:21 -07:00
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# sqlite-utils
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2018-07-31 08:38:50 -07:00
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[](https://pypi.org/project/sqlite-utils/)
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2020-04-30 11:32:23 -07:00
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[](https://sqlite-utils.readthedocs.io/en/stable/changelog.html)
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2020-10-07 18:44:05 -07:00
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[](https://pypi.org/project/sqlite-utils/)
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2020-08-28 15:41:29 -07:00
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[](https://github.com/simonw/sqlite-utils/actions?query=workflow%3ATest)
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2018-07-31 08:38:50 -07:00
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[](http://sqlite-utils.readthedocs.io/en/latest/?badge=latest)
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2020-08-10 14:04:32 -07:00
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[](https://github.com/simonw/sqlite-utils/blob/main/LICENSE)
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2018-07-31 08:38:50 -07:00
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2019-01-25 18:21:55 -08:00
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Python CLI utility and library for manipulating SQLite databases.
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2019-02-24 19:45:38 -08:00
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Read more on my blog: [
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sqlite-utils: a Python library and CLI tool for building SQLite databases](https://simonwillison.net/2019/Feb/25/sqlite-utils/)
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2020-04-17 16:59:47 -07:00
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## Installation
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2018-07-31 08:38:50 -07:00
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2020-05-11 12:23:11 -07:00
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pip install sqlite-utils
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2018-07-31 08:38:50 -07:00
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2020-04-17 16:59:47 -07:00
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## Using as a CLI tool
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2019-07-03 11:04:03 -07:00
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Now you can do things with the CLI utility like this:
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2019-01-25 18:21:55 -08:00
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2019-02-22 18:12:53 -08:00
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$ sqlite-utils tables dogs.db --counts
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[{"table": "dogs", "count": 2}]
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2019-01-25 18:21:55 -08:00
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2019-02-22 17:53:48 -08:00
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$ sqlite-utils dogs.db "select * from dogs"
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[{"id": 1, "age": 4, "name": "Cleo"},
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{"id": 2, "age": 2, "name": "Pancakes"}]
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$ sqlite-utils dogs.db "select * from dogs" --csv
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2019-01-25 18:21:55 -08:00
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id,age,name
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1,4,Cleo
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2,2,Pancakes
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2019-02-24 15:11:51 -08:00
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$ sqlite-utils dogs.db "select * from dogs" --table
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id age name
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---- ----- --------
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1 4 Cleo
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2 2 Pancakes
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2020-04-17 16:59:47 -07:00
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You can even import data into a new database table like this:
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$ curl https://api.github.com/repos/simonw/sqlite-utils/releases \
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2020-09-30 16:29:27 -04:00
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| sqlite-utils insert releases.db releases - --pk id
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2020-04-17 16:59:47 -07:00
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Full CLI documentation: https://sqlite-utils.readthedocs.io/en/stable/cli.html
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## Using as a library
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You can also `import sqlite_utils` and use it as a Python library like this:
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2019-07-03 11:04:03 -07:00
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```python
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import sqlite_utils
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db = sqlite_utils.Database("demo_database.db")
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# This line creates a "dogs" table if one does not already exist:
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db["dogs"].insert_all([
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{"id": 1, "age": 4, "name": "Cleo"},
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{"id": 2, "age": 2, "name": "Pancakes"}
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], pk="id")
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```
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2020-04-17 16:59:47 -07:00
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Full library documentation: https://sqlite-utils.readthedocs.io/en/stable/python-api.html
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2018-07-31 08:38:50 -07:00
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2020-04-17 16:59:47 -07:00
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## Related projects
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2018-07-31 08:38:50 -07:00
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* [Datasette](https://github.com/simonw/datasette): A tool for exploring and publishing data
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* [csvs-to-sqlite](https://github.com/simonw/csvs-to-sqlite): Convert CSV files into a SQLite database
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2019-06-29 14:34:24 -07:00
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* [db-to-sqlite](https://github.com/simonw/db-to-sqlite): CLI tool for exporting a MySQL or PostgreSQL database as a SQLite file
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2020-04-17 16:59:47 -07:00
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* [dogsheep](https://dogsheep.github.io/): A family of tools for personal analytics, built on top of `sqlite-utils`
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