Skip to main content

jx-sqlite

JSON query expressions using SQLite

PyPI Latest Release Build Status

Summary

This library will manage your database schema to store JSON documents. You get all the speed of a well-formed database schema without the schema migration headaches.

Status

Significant updates to the supporting libraries has broken this code. It still works for the simple cases that require it

Jan 2024 - 91/320 tests ignored

Installation

pip install jx-sqlite

Code Example

The smoke test, found in the tests is a simple example of how to use this library.

Open a database

import jx_sqlite

table = (
    jx_sqlite
    .Container(filename="my.db")
    .get_or_create_facts("my_table")
    .add({"os":"linux", "value":42})
    .query({
        "select": "os", 
        "where": {"gt": {"value": 0}}
    })
)

More

An attempt to store JSON documents in SQLite so that they are accessible via SQL. The hope is this will serve a basis for a general document-relational map (DRM), and leverage the database's query optimizer. jx-sqlite is also responsible for making the schema, and changing it dynamically as new JSON schema are encountered and to ensure that the old queries against the new schema have the same meaning.

The most interesting, and most important feature is that we query nested object arrays as if they were just another table. This is important for two reasons:

  1. Inner objects {"a": {"b": 0}} are a shortcut for nested arrays {"a": [{"b": 0}]}, plus
  2. Schemas can be expanded from one-to-one to one-to-many {"a": [{"b": 0}, {"b": 1}]}.

Motivation

JSON is a nice format to store data, and it has become quite prevalent. Unfortunately, databases do not handle it well, often a human is required to declare a schema that can hold the JSON before it can be queried. If we are not overwhelmed by the diversity of JSON now, we soon will be. There will be more JSON, of more different shapes, as the number of connected devices( and the information they generate) continues to increase.

Contributing

Contributions are always welcome! The best thing to do is find a failing test, and try to fix it.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

$ git clone https://github.com/mozilla/jx-sqlite
$ cd jx-sqlite

Running tests

There are over 200 tests used to confirm the expected behaviour: They test a variety of JSON forms, and the queries that can be performed on them. Most tests are further split into three different output formats ( list, table and cube).

export PYTHONPATH=.
python -m unittest discover -v -s tests

Technical Docs

License

This project is licensed under Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.

History

Sep 2018 - Upgrade libs, start refactoring to work with other libs

Dec 2017 - A number of tests were added, but they do not pass.

Sep 2017 - GSoC work completed, all but a few tests pass.

GSOC

Good work by Rohit Kumar. You may see the end result on gsoc branch. Installation requires python2.7, and will require some version fixing to get running.

See the demonstration video

Work done up to the deadline of GSoC'17:

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jx-sqlite-5.535.24035.tar.gz (62.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

jx_sqlite-5.535.24035-py3-none-any.whl (109.9 kB view details)

Uploaded Python 3

File details

Details for the file jx-sqlite-5.535.24035.tar.gz.

File metadata

  • Download URL: jx-sqlite-5.535.24035.tar.gz
  • Upload date:
  • Size: 62.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.6

File hashes

Hashes for jx-sqlite-5.535.24035.tar.gz
Algorithm Hash digest
SHA256 8e78c1632947e030ae3957cc80e79ee443a88b3c0f8625074d68b2e2e77f2642
MD5 4d80a1668924f0951686bba35e7b3cfa
BLAKE2b-256 7a82fea478689c2c2056c53dbdb39b56a1fbf920cc4a357bbe396db972d041a9

See more details on using hashes here.

File details

Details for the file jx_sqlite-5.535.24035-py3-none-any.whl.

File metadata

File hashes

Hashes for jx_sqlite-5.535.24035-py3-none-any.whl
Algorithm Hash digest
SHA256 448776404e7e13948b998b8ec3d7c3eaf5e1964c5e0076335784622338d01c05
MD5 2855f8d7636c95040e5db314b07cf71a
BLAKE2b-256 884ef655ccb2e56d04d44dc9d818f411c364361451abb88a38590380894b59f9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page