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Releases: postgres-ai/database-lab-engine

DBLab Engine v4.0.2

17 Oct 11:16
@agneum agneum

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Improvements and Fixes

  • Added support for PostgreSQL 18 !1056
  • Fixed CLI install script to support aarch64 architecture !1057
  • Improved performance of the dblab clone list command !1054
  • Display all branches including ambiguous ones and filter snapshots by dataset !1059
  • Clean up the entire clone dataset if there are no other revisions !1054

Internal

  • Fixed CI by installing google-cloud-sdk for GCP integration !1060
  • Updated Go to 1.24 !1054
  • Removed non-functional depshield badge !1058

Full diff

Diff between versions 4.0.1 and 4.0.2

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DBLab Engine v4.0.1

26 Aug 14:44
@agneum agneum

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Improvements and Fixes

  • Fixed date formatting errors with invalid (empty) dates that could cause crashes on the branches page !1049
  • Implemented proper cleanup for clone datasets on destroy operations !1052
  • Enhanced branch metadata verification after snapshot creation !1051

Internal

  • Removed swagger-ui deployment !1047
  • Updated UI package versions and fixed shared package npm release !1053
  • Updated dependencies to address security vulnerabilities !1050
  • Updated LICENSE file year !1048

Full diff

Diff between versions 4.0.0 and 4.0.1

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DBLab Engine v4.0.0

20 Jul 19:10
@NikolayS NikolayS

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New features

Improvements and fixes

  • Updated OpenAPI spec – api.dblab.dev !741, !743, !1006
  • Clone counting and restoration cleanup: 9d45ce39
  • Fix "white screen" when opening the clone creation page: !966
  • Reorganizing clone datasets: !977
  • Destroy dependent clones synchronously: !995
  • Refactor API endpoints: !994, !996
  • Fix logs location for idle clone detection: !1012
  • Improve CONTRIBUTING.md !1004, !1005

Internal

  • Clean up and refactor code: !1015
  • Fix integration tests on custom runners: !1010

Full diff

Diff between versions 3.5.0 and 4.0.0

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DBLab Engine v4.0.0 RC3

25 Jun 05:16
@NikolayS NikolayS

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Pre-release 
Merge branch '626-existing-snapshot' into 'dle-4-0'
fix: show error message on creating snapshot when data in the pool has not changed (#626)
See merge request postgres-ai/database-lab!1033
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DBLab Engine v3.5.0

20 Nov 16:24
@vitabaks vitabaks

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New features

Improvements and fixes

Internal

How to get help

To get help, reach out to the Postgres.ai team and the growing community of Database Lab users and contributors: https://postgres.ai/contact.

Provide feedback, contribute

Any feedback will be greatly appreciated:

If you want to help the project grow, consider various ways of contributing:

Full diff

Diff between versions v3.4.0 and v3.5.0: v3.4.0...v3.5.0

Where to start / get help

Provide feedback, contribute

We greatly value your feedback. Connect with us via:

Additional resources where you can get insights about DBLab and Postgres:

Interested in giving back to the project? Here's how you can make an impact:

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DBLab Engine v3.4.0

17 Aug 21:57
@NikolayS NikolayS

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New name: DBLab Engine

The new name for the Database Lab Engine is "DBLab Engine". Updates are currently underway across our materials to reflect this change. To align with this change, we have introduced specific domains for the product: dblab.dev and dblab.sh. For ease of access, we have established the following short URLs:

New contributors

🙇 Many thanks to our first-time contributors: @mbobin, @TheLiamGuy, @gromsterus, @ibash, @byx01, @davidsvenson.

By the numbers

Thank you for the support!

New DBLab SE installer

We've expanded the installation options for DBLab SE. Besides its presence in the AWS Marketplace, you can now seamlessly install DBLab SE directly from the Postgres.ai Console.

This setup is entirely automated and can be used anywhere:

  • For those who have existing machines, we support the "BYOM" (Bring Your Own Machine) method
  • If you're utilizing AWS, GCP, DigitalOcean, or Hetzner Cloud, the installer handles resource provisioning—including VMs, disks, and more—automatically.

Check out the updated tutorial.

Migration notes

For those considering an upgrade, we recommend executing a fresh installation of DBLab. At present, we don't have automation in place for upgrades. If you need to update an existing DBLab installation, it's essential to stop and remove the current containers. Then, initiate a fresh start of the DBLab container using the 3.4.0 tag. More details can be found in the docs. Before initiation, ensure you've adjusted the DBLab configuration as outlined below.

Postgres images

There is a new method for running clones with customized port and socket directories. Please note that this is NOT backward compatible with previous versions of the Postgres images that DBLab utilized. It is crucial to ensure the dockerImage options utilize tags with the -0.3.0 suffix or later, such as postgresai/extended-postgres:15-0.3.0 (details can be found in this MR).

Global telemetry

The global.telemetry subsection has been deprecated and removed. The control to activate/deactivate telemetry has been relocated to the platform section:

platform:
 url: "https://postgres.ai/api/general"
 enableTelemetry: true

Platform

From version v3.4.0 onward, the platform section is enabled by default.

If either the accessToken or orgKey keys aren't empty, ensure the url parameter is specified; otherwise, the DBLab instance will not initialize. By default, neither accessToken nor orgKey are defined when in case of self-managed installations.

platform:
 url: "https://postgres.ai/api/general"
 enableTelemetry: true
# orgKey: "org_key"
# accessToken: "platform_access_token"

Docker mounts

Please omit the following Docker mount directives during container startup, as they are no longer necessary:

 --volume /sys/kernel/debug:/sys/kernel/debug:rw \
 --volume /lib/modules:/lib/modules:ro \
 --volume /proc:/host_proc:ro \

Changelog

New features

Improvements and fixes

Read more

Contributors

TheLiamGuy, mbobin, and 2 other contributors
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Database Lab Engine v3.3.0

28 Dec 10:24
@NikolayS NikolayS

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New features

Improvements and fixes

How to get help

To get help, reach out to the Postgres.ai team and the growing community of Database Lab users and contributors: https://postgres.ai/contact.

Provide feedback, contribute

Any feedback will be greatly appreciated:

If you want to help the project grow, consider various ways of contributing:

Diff between versions v3.2.0 and v3.3.0: v3.2.0...v3.3.0

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Database Lab Engine v3.2.0

19 Oct 17:51
@NikolayS NikolayS

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Release v3.2.0 delivers a good number of new features and improvements. DLE UI is extended with two new tabs, "Logs" and "Configuration", to improve the user experience when configuring or reconfiguring DLE for managed Postgres services such as AWS RDS and Google Cloud SQL:

This allows users to see PGDATA initialization errors when setting up DLE, then adjust the configuration and retry initialization right in the UI – without any need to connect to the DLE machine using SSH.

The demo DLE instance can be found here: https://demo.aws.postgres.ai:446/instance (token: demo_token).

Postgres 15 is already supported!

PostgreSQL 15 is already supported by DLE and included in the list of default images, with many extensions shipped with it: https://postgres.ai/docs/database-lab/supported-databases.

AWS Marketplace – the easiest way to get DLE for any Postgres database

DLE in AWS Marketplace has now General Availability (GA) status, it has already been updated to version 3.2.0: https://aws.amazon.com/marketplace/pp/prodview-wlmm2satykuec, offering the Standard license, with support, embedded monitoring, simplified installation, and access to a wider variety of supported Postgres images (including extensions not available by default). An instance with DLE delivers "dev/test databases as a service" and levels up all dev&test processes. For example, on an r5.xlarge instance (4 vCPUs, 32 GiB RAM) with 200 GiB disk space, it is possible to run up to 30 database clones simultaneously (and even more, if shared_buffers is adjusted to lower values) spending as low as 360ドル per month – less than for a single regular RDS clone of the same size.

New contributor

🙇 The development team greets a new contributor: @Adrinlol. This release wouldn't be possible without other contributors: @agneum, @vitabaks, @DmitryFomin1, @ane4ka, @NikolayS, @denis256, @yuridevx.

What's new

New features

Improvements and fixes

  • Redesign the Retrieval service: !549
  • Mounting of socket directory for non-guest virtualization roles: !557 (@denis256)
  • Add a link to the guide "PostgreSQL configuration in clones": !559
  • Add session manager to CF template: !560
  • Add maintenance_work_mem for Logical mode: !567
  • Report the type of DLE subscription in UI: !563
  • Detect if DLE is running in a Docker container (this resolves issues of running DLE on KVM): !571, !603
  • Apply the configuration and then start Postgres on the restore stage, to reduce the number of restarts needed: !518, !547 (@yuridevx), !558, !572
  • Fix the creation of a restricted user: !586
  • Build CE UI Docker image after merging into the master branch: !590
  • Adjust container readiness health checks: !597, !602
  • Remove deprecated eslint analyzers: !605
  • Increase the number of parallel jobs in logical mode from 2/2 to 4/4 – usually, many more CPU cores are available: !611

Diff showing all changes

Diff between versions v3.1.2 and v3.2.0: v3.1.2...v3.2.0.

Migration from DLE v3.1.x and configuration notes

There are no special actions that are required to migrate from DLE 3.1.x to 3.2.0: you need to stop the DLE container, change the image, and start a new one using the new image. All snapshots should remain available, and if, at stopping time, some clones were present, they should be automatically recreated by DLE.

Note: if you have an older version, check the previous release notes as well: https://gitlab.com/postgres-ai/database-lab/-/releases.

Configuration directory

The config directory, by default, is ~/.dblab/engine/configs and the corresponding mounted volume must be writable:

 ...
 --volume ~/.dblab/engine/configs:/home/dblab/configs
 ...

Logs directory

Make sure that ~/.dblab/engine/logs is mounted as a volume to the DLE container:

 ...
 --volume ~/.dblab/engine/configs:/home/dblab/configs \
 --volume ~/.dblab/engine/meta:/home/dblab/meta \
 --volume ~/.dblab/engine/logs:/home/dblab/logs \
 ...

Alternatively, you can mount the entire directory (including configs and meta – but make sure that these subdirectories exist, DLE doesn't create them yet):

 ...
 --volume ~/.dblab/engin...
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v3.1.2

04 Jul 13:56
@NikolayS NikolayS

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Database Lab Engine v3.1.2

DLE v3.1.2 delivers multiple bug fixes and improvements.

🙇 The development team greets new contributors: @yuridevx, @denis256.

New features and logic adjustments

Improvements and fixes

Contributor's experience

How to get help

To get help, reach out to the Postgres.ai team and the growing community of Database Lab users and contributors: https://postgres.ai/contact.

Provide feedback, contribute

Any feedback will be greatly appreciated:

If you want to help the project grow, consider various ways of contributing:

Diff between versions v3.1.1 and v3.1.2: v3.1.1...v3.1.2

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v3.1.1

25 May 15:56
@NikolayS NikolayS

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Database Lab Engine v3.1.1

DLE v3.1.1 delivers multiple bug fixes and improvements.

The development team greets a new contributor: @Alexand.

Improvements and fixes

How to get help

To get help, reach out to the Postgres.ai team and the growing community of Database Lab users and contributors: https://postgres.ai/contact.

Provide feedback, contribute

Any feedback will be greatly appreciated:

If you want to help the project grow, consider various ways of contributing:

Diff between versions v3.1.0 and v3.1.1: v3.1.0...v3.1.1

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