DataStation 0.2.0 Release Notes
Before getting to the release notes, there are a few neat things to share:
- Four months in, DataStation has passed 300 stars on Github
- There have been over 700 downloads of the desktop application for Windows, macOS or Linux
This release sees the contributor count go from 1 to 2
If you're interested in raising that contributor count, join us on Discord and check out the good first issue label on Github
- This release sees the first fix for a user-reported bug
- This release sees the first feature added after a user request
- Learn more about how you can help below
Query Elasticsearch, Influx, and Prometheus databases
In addition to existing support for every major OLTP SQL database and a few analytics databases, you can now query Elasticsearch, Influx, and Prometheus databases.
Filter by time range and group by time window in Visual Transform panel
In addition to generic SQL filters you can now visually filter by time range. At the moment, the field you're filtering on must be in ISO8601/RFC3339 format. In the future, DataStation will be able to guess and standardize time formats on ingestion. For now you'll have to do any standardization yourself.
When selecting an aggregation method you can also group over a time window. The field has the same restrictions as above, it must be in ISO8601/RFC3339 format.
All panels are cancellable
Until now, all panel evaluation happened in the same process as the Electron app or server app. Program panels were the only exception since they run a subprocess with the language you selected.
But in this release, all panel evaluation happens in a subprocess. This means all resources (open connections, SSH tunnels, etc.) are guaranteed to be cleaned up when you hit Cancel on a running panel.
It is especially useful to be able to kill unexpectedly long-running queries.
Support for DM_getPanel() calls in MySQL and PostgreSQL queries
Until now, only SQLite panels could call DM_getPanel() to import data from another panel. Now you can do the same when querying MySQL or PostgreSQL databases. It works by creating a temporary table and ingesting the requested panel's results. Thus you can use a panel's results in exactly the same way as.
Improvements to testing
This release takes DataStation tests from 24% statement/line coverage to 66%. All programming languages are integration tested and all major open source SQL databases are now integration tested as well.
- Re-running a panel no longer discards the previous run's Preview and Metadata display while waiting for the new run to complete
- Performance improvements and correctness fixes for large objects in "Inferred schema" calculation
- Stack traces on error now properly show original error (they were being masked by bad logic)
- The Visual Transform panel now properly quotes all field names coming from the panel source
Install or upgrade
How you can help
If you are a developer or engineering manager, install DataStation and start using it at work! Report bugs and usability issues (there are surely many). Get in touch if you are interested in being a design partner.
If you are an investor, get in touch.
The latest version of DataStation is out! This release brings support for querying #ElasticSearch, #Prometheus, and #InfluxDB; and many other great fixes and features!https://t.co/SzFIHBej7j pic.twitter.com/oE7MqIufMs— DataStation (@multiprocessio) October 12, 2021