sqlite-s3-query 0.0.24

Python context manager to query a SQLite file stored on S3

sqlite-s3-query

Python context manager to query a SQLite file stored on S3. It uses multiple HTTP range requests per query to avoid downloading the entire file, and so is suitable for large databases.

All queries using the same instance of the context will query the same version of the database object in S3. This means that a context is roughly equivalent to a REPEATABLE READ transaction, and queries should complete succesfully even if the database is replaced concurrently by another S3 client. Versioning must be enabled on the S3 bucket.

SQL statements that write to the database are not supported.

Inspired by phiresky's sql.js-httpvfs, and dacort's Stack Overflow answer.

Installation

pip install sqlite_s3_query

The libsqlite3 binary library is also required, but this is typically already installed on most systems.

Usage

from sqlite_s3_query import sqlite_s3_query

with sqlite_s3_query(url='https://my-bucket.s3.eu-west-2.amazonaws.com/my-db.sqlite') as query:

    with query('SELECT * FROM my_table WHERE my_column = ?', params=('my-value',)) as (columns, rows):
        for row in rows:
            print(row)

    # Exactly the same results, even if the object in S3 was replaced
    with query('SELECT * FROM my_table WHERE my_column = ?', params=('my-value',)) as (columns, rows):
        for row in rows:
            print(row)

If in your project you query the same object from multiple places, functools.partial can be used to make an interface with less duplication.

from functools import partial
from sqlite_s3_query import sqlite_s3_query

query_my_db = partial(sqlite_s3_query,
    url='https://my-bucket.s3.eu-west-2.amazonaws.com/my-db.sqlite',
)

with \
        query_my_db() as query, \
        query('SELECT * FROM my_table WHERE my_col = ?', params=('my-value',)) as (columns, rows):

    for row in rows:
        print(row)

with \
        query_my_db() as query, \
        query('SELECT * FROM my_table_2 WHERE my_col = ?', params=('my-value',)) as (columns, rows):

    for row in rows:
        print(row)

The AWS region and the credentials are taken from environment variables, but this can be changed using the get_credentials parameter. Below shows the default implementation of this that can be overriden.

import os
from functools import partial
from sqlite_s3_query import sqlite_s3_query

query_my_db = partial(sqlite_s3_query
    url='https://my-bucket.s3.eu-west-2.amazonaws.com/my-db.sqlite',
    get_credentials=lambda: (
        os.environ['AWS_REGION'],
        os.environ['AWS_ACCESS_KEY_ID'],
        os.environ['AWS_SECRET_ACCESS_KEY'],
        os.environ.get('AWS_SESSION_TOKEN'),  # Only needed for temporary credentials
    ),
)

with \
        query_my_db() as query, \
        query('SELECT * FROM my_table_2 WHERE my_col = ?', params=('my-value',)) as (columns, rows):

    for row in rows:
        print(row)

The HTTP client can be changed by overriding the the default get_http_client parameter, which is shown below.

from functools import partial
import httpx
from sqlite_s3_query import sqlite_s3_query

query_my_db = partial(sqlite_s3_query,
    url='https://my-bucket.s3.eu-west-2.amazonaws.com/my-db.sqlite',
    get_http_client=lambda: httpx.Client(),
)

with \
        query_my_db() as query, \
        query('SELECT * FROM my_table WHERE my_col = ?', params=('my-value',)) as (columns, rows):

    for row in rows:
        print(row)

The location of the libsqlite3 library can be changed by overriding the get_libsqlite3 parameter.

from ctypes import cdll
from functools import partial
from sys import platform
from sqlite_s3_query import sqlite_s3_query

query_my_db = partial(sqlite_s3_query,
    url='https://my-bucket.s3.eu-west-2.amazonaws.com/my-db.sqlite',
    get_libsqlite3=lambda: cdll.LoadLibrary({'linux': 'libsqlite3.so', 'darwin': 'libsqlite3.dylib'}[platform])
)

with \
        query_my_db() as query, \
        query('SELECT * FROM my_table WHERE my_col = ?', params=('my-value',)) as (columns, rows):

    for row in rows:
        print(row)