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64 lines
2.1 KiB
Markdown
64 lines
2.1 KiB
Markdown
# Database Lab
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Database Lab Engine is an open-source platform developed by Postgres.ai to create instant, full-size clones of
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production databases.<br/>
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Use cases of the clones are to test database migrations, optimize SQL, or deploy full-size staging apps.
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The website <https://Postgres.ai/> hosts the SaaS version of the Database Lab Engine.
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1. [Clones](#clones)
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1. [Further readings](#further-readings)
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1. [Sources](#sources)
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## Clones
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Database clones comes in two flavours:
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- _Thick_ cloning: the regular way to copy data.<br/>
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It is also how data is copied to Database Lab the first time a source is added.
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Thick clones can be:
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- _Logical_: do a regular dump and restore using `pg_dump` and `pg_restore`.
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- _Physical_: done using `pg_basebackup` or restoring data from physical archives created by backup tools such as
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WAL-E/WAL-G, Barman, pgBackRest, or pg_probackup.
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> Managed PostgreSQL databases in cloud environments (e.g.: AWS RDS) support only the logical clone type.
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The Engine supports continuous synchronization with the source databases.<br/>
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Achieved by repeating the thick cloning method one initially used for the source.
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- _Thin_ cloning: local containerized database clones based on CoW (Copy-on-Write) spin up in few seconds.<br/>
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They share most of the data blocks, but logically they look fully independent.<br/>
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The speed of thin cloning does **not** depend on the database size.
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As of 2024-06, Database Lab Engine supports ZFS and LVM for thin cloning.<br/>
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With ZFS, the Engine periodically creates a new snapshot of the data directory and maintains a set of snapshots. When
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requesting a new clone, users choose which snapshot to use as base.
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## Further readings
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- [Website]
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- [Main repository]
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- [Documentation]
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- [`dblab`][dblab]
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### Sources
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<!--
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Reference
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═╬═Time══
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<!-- Knowledge base -->
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[dblab]: dblab.md
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<!-- Files -->
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<!-- Upstream -->
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[documentation]: https://postgres.ai/docs/
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[main repository]: https://gitlab.com/postgres-ai/database-lab
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[website]: https://postgres.ai/
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<!-- Others -->
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