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Release v3.2.0 extends DLE UI 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. It also delivers a good number of new features and improvements.
AWS Marketplace – the easiest way to get DLE for any Postgres database
DLE v3.2.0 has been already published in AWS Marketplace: 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 per month – less than for a single regular RDS clone of the same size.
New contributor
🙇 The development team greets a new contributor: @Adrinlol.
Alternatively, you can mount the entire directory (including configs and meta – but make sure that these subdirectories exist, DLE doesn't create them yet):
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Database Lab Engine v3.2.0
Release v3.2.0 extends DLE UI 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. It also delivers a good number of new features and improvements.
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 v3.2.0 has been already published in AWS Marketplace: 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 per month – less than for a single regular RDS clone of the same size.New contributor
🙇 The development team greets a new contributor: @Adrinlol.
What's new
New features
queryPreprocessing
inlogicalRestore
and allow using inline SQL inqueryPreprocessing
: https://gitlab.com/postgres-ai/database-lab/-/merge_requests/576Improvements and fixes
maintenance_work_mem
for Logical mode: https://gitlab.com/postgres-ai/database-lab/-/merge_requests/567Diff 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
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:Alternatively, you can mount the entire directory (including
configs
andmeta
– but make sure that these subdirectories exist, DLE doesn't create them yet):... --volume ~/.dblab/engine:/home/dblab ...
Query preprocessing
The
queryPreprocessing
section supports inline SQL now. Examples can be found here: https://gitlab.com/postgres-ai/database-lab/-/merge_requests/576#examplesConfiguration UI
Because the configuration can be viewed and edited in the UI, make sure:
verificationToken
, PlatformaccessToken
, you can find all masking rules here: https://gitlab.com/postgres-ai/database-lab/-/merge_requests/608#masking-rules)Where 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:
This discussion was created from the release Database Lab Engine v3.2.0.
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