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55 lines
2 KiB
Markdown
55 lines
2 KiB
Markdown
# sqlite-utils
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[](https://pypi.org/project/sqlite-utils/)
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[](https://travis-ci.com/simonw/sqlite-utils)
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[](http://sqlite-utils.readthedocs.io/en/latest/?badge=latest)
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[](https://github.com/simonw/sqlite-utils/blob/master/LICENSE)
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Python CLI utility and library for manipulating SQLite databases.
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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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Install it like this:
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pip3 install sqlite-utils
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Now you can do things with the CLI utility like this:
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$ sqlite-utils tables dogs.db --counts
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[{"table": "dogs", "count": 2}]
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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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id,age,name
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1,4,Cleo
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2,2,Pancakes
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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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Or you can import it and use it as a Python library like this:
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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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Full documentation: https://sqlite-utils.readthedocs.io/
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Related projects:
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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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* [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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