JSON query expressions using SQLite
Project description
jx-sqlite
JSON query expressions using SQLite
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.
https://www.youtube.com/watch?v=0_YLzb7BegI&list=PLSE8ODhjZXja7K1hjZ01UTVDnGQdx5v5U&index=26&t=260s
Status
Significant updates to the supporting libraries has broken this ode. It still works works for the simple cases that require it
Jan 2020 - 96/283 test failing
Installation
pip install jx-sqlite
Code Example
Open a database
container = Container()
Declare a table
table = container.get_or_create_facts("my_table")
Pour JSON documents into it
table.add({"os":"linux", "value":42})
Query the table
table.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:
- Inner objects
{"a": {"b": 0}}
are a shortcut for nested arrays{"a": [{"b": 0}]}
, plus - 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
Work done upto the deadline of GSoC'17:
More Documentation
Project details
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