Skip to main content

Take lightning fast snapshots of your local Postgres databases.

Project description



The DSLR logo


PyPI version PyPI Supported Python Versions GitHub Actions (Code quality and tests)

A terminal showing DSLR's command line interface.


Database Snapshot, List, and Restore

Take lightning fast snapshots of your local Postgres databases.

What is this?

DSLR is a tool that allows you to quickly take and restore database snapshots when you're writing database migrations, switching branches, or messing with SQL.

It's meant to be a spiritual successor to Stellar.

Important: DSLR is intended for development use only. It is not advisable to use DSLR on production databases.

Performance

DSLR is much faster than the standard pg_dump/pg_restore approach to snapshots.

A chart comparing the execution time between DSLR and pg_dump/pg_restore. For snapshot and restore, DSLR took 4.125 seconds and 4.431 seconds respectively. pg_dump/pg_restore took 36.602 seconds and 13.257 seconds respectively.

DSLR is 8x faster at taking snapshots and 3x faster at restoring snapshots compared to the pg_dump/pg_restore approach.

Testing methodology

I spun up Postgres 12.3 using Docker, created a test database, and filled it with 1GB of random data using this script:

CREATE TABLE large_test (num1 bigint, num2 double precision, num3 double precision);

INSERT INTO large*test (num1, num2, num3)
SELECT round(random() * 10), random(), random() \_ 142
FROM generate_series(1, 20000000) s(i);

I used the following commands to measure the execution time:


time dslr snapshot my-snapshot
time dslr restore my-snapshot
time pg_dump -Fc -f export.dump
time pg_restore --no-acl --no-owner export.dump

I ran each command three times and plotted the mean in the chart.

Here's the raw data:

Command Run Execution time (seconds)
dslr snapshot 1 4.797
2 4.650
3 2.927
dslr restore 1 5.840
2 4.122
3 3.331
pg_dump 1 37.345
2 36.227
3 36.233
pg_restore 1 13.304
2 13.148
3 13.320

Install


pip install DSLR[psycopg2] # or psycopg2-binary, pipx is also supported

Additionally, the DSLR export and import snapshot commands require pg_dump and pg_restore to be present in your PATH.

Configuration

You can tell DSLR which database to take snapshots of in a few ways:

DATABASE_URL

If the DATABASE_URL environment variable is set, DSLR will use this to connect to your target database.

export DATABASE_URL=postgres://username:password@host:port/database_name

dslr.toml

If a dslr.toml file exists in the current directory, DSLR will read its settings from there. DSLR will prefer this over the environment variable.

url = 'postgres://username:password@host:port/database_name'

--url option

Finally, you can explicitly pass the connection string via the --url option. This will override any of the above settings.

Usage

$ dslr snapshot my-first-snapshot
Created new snapshot my-first-snapshot

$ dslr restore my-first-snapshot
Restored database from snapshot my-first-snapshot

$ dslr list

  Name                Created
 ────────────────────────────────────
  my-first-snapshot   2 minutes ago

$ dslr rename my-first-snapshot fresh-db
Renamed snapshot my-first-snapshot to fresh-db

$ dslr delete some-old-snapshot
Deleted some-old-snapshot

$ dslr export my-feature-test
Exported snapshot my-feature-test to my-feature-test_20220730-075650.dump

$ dslr import snapshot-from-a-friend_20220730-080632.dump friend-snapshot
Imported snapshot friend-snapshot from snapshot-from-a-friend_20220730-080632.dump

How does it work?

DSLR takes snapshots by cloning databases using Postgres' Template Databases functionality. This is the main source of DSLR's speed.

This means that taking a snapshot is just creating a new database using the main database as the template. Restoring a snapshot is just deleting the main database and creating a new database using the snapshot database as the template. So on and so forth.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

DSLR-0.4.0a0.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

dslr-0.4.0a0-py3-none-any.whl (11.1 kB view details)

Uploaded Python 3

File details

Details for the file DSLR-0.4.0a0.tar.gz.

File metadata

  • Download URL: DSLR-0.4.0a0.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for DSLR-0.4.0a0.tar.gz
Algorithm Hash digest
SHA256 22edea02668514df7260493494698857e3e76dba5167bf9b5e6044ef2616d366
MD5 35e88ec005919848c99b77c18f37750b
BLAKE2b-256 dcf9d6d406fd4e5c57a1aad542b64c8b6c8edc1e139dfefba6a38a6b6c25acfd

See more details on using hashes here.

File details

Details for the file dslr-0.4.0a0-py3-none-any.whl.

File metadata

  • Download URL: dslr-0.4.0a0-py3-none-any.whl
  • Upload date:
  • Size: 11.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for dslr-0.4.0a0-py3-none-any.whl
Algorithm Hash digest
SHA256 935f301d2ad418d8cf1358f79080204183382f44710ebfb836469e2fbfe2f455
MD5 0cb64d4673a30c505b6579ff91bc1d8f
BLAKE2b-256 63331a40dc778ae46ddffbbe83c8831c26f7ff1f08c8926c6a6f1b993fa2de6c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page