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https://github.com/uktrade/sqlite-s3vfs
Python writable virtual filesystem for SQLite on S3
https://github.com/uktrade/sqlite-s3vfs
data-infrastructure diapp
Last synced: 5 days ago
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Python writable virtual filesystem for SQLite on S3
- Host: GitHub
- URL: https://github.com/uktrade/sqlite-s3vfs
- Owner: uktrade
- License: mit
- Created: 2021-09-29T16:17:16.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-03-13T20:15:19.000Z (8 months ago)
- Last Synced: 2024-04-15T20:47:55.505Z (7 months ago)
- Topics: data-infrastructure, diapp
- Language: Python
- Homepage:
- Size: 157 KB
- Stars: 109
- Watchers: 8
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# sqlite-s3vfs
[](https://pypi.org/project/sqlite-s3vfs/) [](https://github.com/uktrade/sqlite-s3vfs/actions/workflows/test.yml) [](https://app.codecov.io/gh/uktrade/sqlite-s3vfs)
Python virtual filesystem for SQLite to read from and write to S3.
No locking is performed, so client code _must_ ensure that writes do not overlap with other writes or reads. If multiple writes happen at the same time, the database will probably become corrupt and data be lost.
Based on [simonwo's gist](https://gist.github.com/simonwo/b98dc75feb4b53ada46f224a3b26274c), and inspired by [phiresky's sql.js-httpvfs](https://github.com/phiresky/sql.js-httpvfs), [dacort's Stack Overflow answer](https://stackoverflow.com/a/59434097/1319998), and [michalc's sqlite-s3-query](https://github.com/michalc/sqlite-s3-query).
## How does it work?
sqlite-s3vfs stores the SQLite database in fixed-sized _blocks_, and each is stored as a separate object in S3. SQLite stores its data in fixed-size _pages_, and always writes exactly a page at a time. This virtual filesystem translates page reads and writes to block reads and writes. In the case of SQLite pages being the same size as blocks, which is the case by default, each page write results in exactly one block write.
Separate objects are required since S3 does not support the partial replace of an object; to change even 1 byte, it must be re-uploaded in full.
## Installation
sqlite-s3vfs can be installed from PyPI using `pip`.
```bash
pip install sqlite-s3vfs
```
This will automatically install [boto3](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html), [APSW](https://rogerbinns.github.io/apsw/), and any of their dependencies.
## Usage
sqlite-s3vfs is an [APSW](https://rogerbinns.github.io/apsw/) virtual filesystem that requires [boto3](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html) for its communication with S3.
```python
import apsw
import boto3
import sqlite_s3vfs
# A boto3 bucket resource
bucket = boto3.Session().resource('s3').Bucket('my-bucket')
# An S3VFS for that bucket
s3vfs = sqlite_s3vfs.S3VFS(bucket=bucket)
# sqlite-s3vfs stores many objects under this prefix
# Note that it's not typical to start a key prefix with '/'
key_prefix = 'my/path/cool.sqlite'
# Connect, insert data, and query
with apsw.Connection(key_prefix, vfs=s3vfs.name) as db:
cursor = db.cursor()
cursor.execute('''
CREATE TABLE foo(x,y);
INSERT INTO foo VALUES(1,2);
''')
cursor.execute('SELECT * FROM foo;')
print(cursor.fetchall())
```
See the [APSW documentation](https://rogerbinns.github.io/apsw/) for more examples.
### Serializing (getting a regular SQLite file out of the VFS)
The bytes corresponding to a regular SQLite file can be extracted with the `serialize_iter` function, which returns an iterable,
```python
for chunk in s3vfs.serialize_iter(key_prefix=key_prefix):
print(chunk)
```
or with `serialize_fileobj`, which returns a non-seekable file-like object. This can be passed to Boto3's `upload_fileobj` method to upload a regular SQLite file to S3.
```python
target_obj = boto3.Session().resource('s3').Bucket('my-target-bucket').Object('target/cool.sqlite')
target_obj.upload_fileobj(s3vfs.serialize_fileobj(key_prefix=key_prefix))
```
### Deserializing (getting a regular SQLite file into the VFS)
```python
# Any iterable that yields bytes can be used. In this example, bytes come from
# a regular SQLite file already in S3
source_obj = boto3.Session().resource('s3').Bucket('my-source-bucket').Object('source/cool.sqlite')
bytes_iter = source_obj.get()['Body'].iter_chunks()
s3vfs.deserialize_iter(key_prefix='my/path/cool.sqlite', bytes_iter=bytes_iter)
```
### Block size and page size
SQLite writes data in _pages_, which are 4096 bytes by default. sqlite-s3vfs stores data in _blocks_, which are also 4096 bytes by default. If you change one you should change the other to match for performance reasons.
```python
s3vfs = sqlite_s3vfs.S3VFS(bucket=bucket, block_size=65536)
with apsw.Connection(key_prefix, vfs=s3vfs.name) as db:
cursor = db.cursor()
cursor.execute('''
PRAGMA page_size = 65536;
''')
```
## Tests
The tests require the dev dependencies and MinIO started
```bash
pip install -e ".[dev]"
./start-minio.sh
```
can be run with pytest
```bash
pytest
```
and finally Minio stopped
```bash
./stop-minio.sh
```