Welcome to PyFireSQL’s documentation!

What is PyFireSQL

PyFireSQL is a SQL-like programming interface to query Cloud Firestore collections using Python. Cloud Firestore is a NoSQL, document-oriented database. Unlike a SQL database, there are no tables or rows. Instead, you store data in documents, which are organized into collections.

There is no formal query language to Cloud Firestore - NoSQL collection/document structure. For many instances, we need to use the useful but clunky Firestore UI to navigate, scroll and filter through the endless records. With the UI, we have no way to extract the found documents. Even though we attempted to extract and update by writing a unique program for the specific task, we felt many scripts are almost the same that something must be done to limit the endless program writing. What if we can use SQL-like statements to perform the data extraction, which is both formal and reusable? - This idea will be the motivation for the FireSQL language!

Even though we see no relational data model of (table, row, column), we can easily see the equivalent between table -> collection, row -> document and column -> field in the Firestore data model. The SQL-like statement can be transformed accordingly.

Install PyFireSQL

$ pip install pyfiresql

To install from [PyFireSQL source](https://github.com/bennycheung/PyFireSQL), checkout the project

cd PyFireSQL
# install require packages
pip install -r requirements.txt
# install (optional) development require packages
pip install -r requirements_dev.txt

python setup.py install

Programming Interface

In PyFireSQL, we offer a simple programming interface to parse and execute firebase SQL. Please consult [Firebase Admin SDK Documentation](https://firebase.google.com/docs/admin/setup) to generate the project’s service account credentials.json file.

from firesql.firebase import FirebaseClient
from firesql.sql import FireSQL

# make connection to Cloud Firestore
client = FirebaseClient()
client.connect(credentials_json='credentials.json')

# query via the FireSQL interface - the results are in list of docs (Dict)
query = "SELECT * FROM Users WHERE state = 'ACTIVE'"
fireSQL = FireSQL()
docs = fireSQL.sql(client, query)

Indices and tables