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duckdb-utils

PyPI

Python CLI utility and library for manipulating DuckDB databases.

Idea

In principle a "port" of the excellent sqlite-utils by Simon Willison. Not sure if the use case is there in DuckDB-land. Still thinking this through (or if there are similar offerings from others.)

Status

This is in pre-beta and not yet working or released. Please do not use.

Some potential features

Read more on my blog, in this series of posts on New features in duckdb-utils and other entries tagged duckdb-utils.

Installation

pip install duckdb-utils

Or if you use Homebrew for macOS:

brew install duckdb-utils

Using as a CLI tool

Now you can do things with the CLI utility like this:

$ duckdb-utils memory cats.csv "select * from t"
[{"id": 1, "age": 4, "name": "Emme"},
 {"id": 2, "age": 2, "name": "Pancakes"}]

$ duckdb-utils insert cats.duckdb cats cats.csv --csv
[####################################]  100%

$ duckdb-utils tables cats.duckdb --counts
[{"table": "cats", "count": 2}]

$ duckdb-utils cats.duckdb "select id, name from cats"
[{"id": 1, "name": "Emme"},
 {"id": 2, "name": "Pancakes"}]

$ duckdb-utils cats.duckdb "select * from cats" --csv
id,age,name
1,4,Emme
2,2,Pancakes

$ duckdb-utils cats.duckdb "select * from cats" --table
  id    age  name
----  -----  --------
   1      4  Emme
   2      2  Pancakes

You can import JSON data into a new database table like this:

$ curl https://api.github.com/repos/databooth/duckdb-utils/releases \
    | duckdb-utils insert releases.duckdb releases - --pk id

Or for data in a CSV file:

$ duckdb-utils insert cats.duckdb cats cats.csv --csv

duckdb-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 cats.csv | duckdb-utils memory - "select name, age from stdin"

See the full CLI documentation for comprehensive coverage of many more commands.

Using as a library

You can also import duckdb_utils and use it as a Python library like this:

import duckdb_utils
db = duckdb_utils.Database("demo_database.duckdb")
# This line creates a "cats" table if one does not already exist:
db["cats"].insert_all([
    {"id": 1, "age": 4, "name": "Emme"},
    {"id": 2, "age": 2, "name": "Pancakes"}
], pk="id")

Check out the full library documentation for everything else you can do with the Python library.

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