Simon Willison’s Weblog

Series: New features in sqlite-utils

Any time I introduce a significant new feature in a release of my sqlite-utils package I write about it here.

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sqlite-utils: a Python library and CLI tool for building SQLite databases

sqlite-utils is a combination Python library and command-line tool I’ve been building over the past six months which aims to make creating new SQLite databases as quick and easy as possible.

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Fun with binary data and SQLite

This week I’ve been mainly experimenting with binary data storage in SQLite. sqlite-utils can now insert data from binary files, and datasette-media can serve content over HTTP that originated as binary BLOBs in a database file.

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Executing advanced ALTER TABLE operations in SQLite

SQLite’s ALTER TABLE has some significant limitations: it can’t drop columns, it can’t alter NOT NULL status, it can’t change column types. Since I spend a lot of time with SQLite these days I’ve written some code to fix this—both from Python and as a command-line utility.

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Refactoring databases with sqlite-utils extract

Yesterday I described the new sqlite-utils transform mechanism for applying SQLite table transformations that go beyond those supported by ALTER TABLE. The other new feature in sqlite-utils 2.20 builds on that capability to allow you to refactor a database table by extracting columns into separate tables. I’ve called it sqlite-utils extract.

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Joining CSV and JSON data with an in-memory SQLite database

The new sqlite-utils memory command can import CSV and JSON data directly into an in-memory SQLite database, combine and query it using SQL and output the results as CSV, JSON or various other formats of plain text tables.

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Apply conversion functions to data in SQLite columns with the sqlite-utils CLI tool

Earlier this week I released sqlite-utils 3.14 with a powerful new command-line tool: sqlite-utils convert, which applies a conversion function to data stored in a SQLite column.

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