sqlite-memory-vfs 0.0.5

Python writable in-memory virtual filesystem for SQLite

sqlite-memory-vfs

Python virtual filesystem for SQLite to read from and write to memory.

While SQLite supports the special filename :memory: that allows the creation of empty databases in memory, and sqlite_deserialize allows the population of an in-memory database from a contiguous block of raw bytes of a serialized database, there is no built-in way to populate such a database using non-contiguous raw bytes of a serialized database. The function sqlite_serialize can also only serialize a database to a contiguous block of memory. This virtual filesystem overcomes these limitations, and so allows larger databases to be downloaded and queried without hitting disk.

Based on simonwo's gist and uktrade's sqlite-s3vfs, and inspired by phiresky's sql.js-httpvfs, dacort's Stack Overflow answer and michalc's sqlite-s3-query.

Installation

sqlite-memory-vfs can be installed from PyPI using pip.

pip install sqlite-memory-vfs

This will automatically install APSW along with any other dependencies.

Deserializing (getting a regular SQLite file into the VFS)

This library allows the raw bytes of a SQLite database to be queried without having to save it to disk. This can be done by using the deserialize_iter method of MemoryVFS, passing it an iterable of bytes instances that contain the SQLite database.

import apsw
import httpx
import sqlite_memory_vfs

memory_vfs = sqlite_memory_vfs.MemoryVFS()

# Any iterable of bytes can be used. In this example, they come via HTTP
with httpx.stream("GET", "https://data.api.trade.gov.uk/v1/datasets/uk-trade-quotas/versions/v1.0.366/data?format=sqlite") as r:
    memory_vfs.deserialize_iter('quota_balances.sqlite', r.iter_bytes())

with apsw.Connection('quota_balances.sqlite', vfs=memory_vfs.name) as db:
    cursor = db.cursor()
    cursor.execute('SELECT * FROM quotas;')
    print(cursor.fetchall())

If the deserialize_iter step is ommitted an empty database is automatically created in memory.

See the APSW documentation for more usage examples.

Serializing (getting a regular SQLite file out of the VFS)

The bytes corresponding to each SQLite database in the VFS can be extracted with the serialize_iter function, which returns an iterable of bytes

with open('my_db.sqlite', 'wb') as f:
    for chunk in memory_vfs.serialize_iter('my_db.sqlite'):
        f.write(chunk)

Comparison with sqlite_deserialize

The main reason for using sqlite-memory-vfs over sqlite_deserialize is the lower memory usage for larger databases. For example the following may not even complete due to running out of memory:

import resource

import apsw
import httpx

url = "https://data.api.trade.gov.uk/v1/datasets/uk-tariff-2021-01-01/versions/v4.0.46/data?format=sqlite"

with apsw.Connection(':memory:') as db:
    db.deserialize('main', httpx.get(url).read())
    cursor = db.cursor()
    cursor.execute('SELECT * FROM measures;')
    print(cursor.fetchall())

print('Max memory usage:', resource.getrusage(resource.RUSAGE_SELF).ru_maxrss)

But the following does / should output a lower value of memory usage:

import resource

import apsw
import httpx
import sqlite_memory_vfs

url = "https://data.api.trade.gov.uk/v1/datasets/uk-tariff-2021-01-01/versions/v4.0.46/data?format=sqlite"
memory_vfs = sqlite_memory_vfs.MemoryVFS()

with httpx.stream("GET", url) as r:
    memory_vfs.deserialize_iter('tariff.sqlite', r.iter_bytes())

with apsw.Connection('tariff.sqlite', vfs=memory_vfs.name) as db:
    cursor = db.cursor()
    cursor.execute('SELECT count(*) FROM measures;')
    print(cursor.fetchall())

print('Max memory usage:', resource.getrusage(resource.RUSAGE_SELF).ru_maxrss)

Tests

The tests require the dev dependencies installed

pip install -e ".[dev]"

and can then run with pytest

pytest