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Python CLI utility and library for manipulating SQLite databases
https://sqlite-utils.datasette.io
- Python 99.7%
- C 0.2%
57e43baece
If you want to set default options for a table, you can do this:
table = db.table("dogs", pk="id", column_order=["name", "age"])
If you pass those keyword arguments to the .insert/.update/etc
methods they will over-ride the defaults you set on the table.
table = db["dogs"] # This still works too
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| README.md | ||
| setup.py | ||
sqlite-utils
Python CLI utility and library for manipulating SQLite databases.
Read more on my blog: sqlite-utils: a Python library and CLI tool for building SQLite databases
Install it like this:
pip3 install sqlite-utils
Now you can do things with the CLI utility like this:
$ sqlite-utils tables dogs.db --counts
[{"table": "dogs", "count": 2}]
$ sqlite-utils dogs.db "select * from dogs"
[{"id": 1, "age": 4, "name": "Cleo"},
{"id": 2, "age": 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
Or you can import it and use it as a Python library like this:
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")
Full documentation: https://sqlite-utils.readthedocs.io/
Related projects:
- Datasette: A tool for exploring and publishing data
- csvs-to-sqlite: Convert CSV files into a SQLite database
- db-to-sqlite: CLI tool for exporting a MySQL or PostgreSQL database as a SQLite file