FeatureBase v3.34.0
About
This is FeatureBase v3.34.0, a crazy fast database/analytics engine based on Roaring Bitmaps.
FeatureBase is written in Go and supports SQL.
License
FeatureBase is released under the Apache 2.0 Open Source license.
Support
Join the Discord community: https://discord.com/invite/featurefirstai
Documentation: https://docs.featurebase.com/
Cookbooks (including SQL bulk inserts): https://github.com/FeatureBaseDB/featurebase-examples
Would you rather use Docker?
Release
This release contains AMD and ARM FeatureBase binaries for macOS (darwin) and Linux.
The tarball for each architecture includes a directory for FeatureBase and an IDK directory for consumers for CSV, Github, Kafka and SQL.
Highlights
This release continues to build on support and GA release for SQL functionality. Future version numbers of the FeatureBase binary will be increased to match our internal bundle version numbers. A major version bump is needed due to the GA release of SQL.
Resolved Bugs
- FB-1915 Large ID type data inserted with incorrect values
- FB-1916 Large INT type data inserted with incorrect values
- FB-2057 Gracefully handle divide by zero in SQL
- FB-2062 ORDER BY failing with larger data sets
- FB-2061 Internal error triggered by SQL with grouping and Complex Conditions
- SUP-308 Avg() returns incorrect result when selection returns zero rows
NOTE: The tickets/labels above and below are for our reference to Jira issues and do not correspond to issues on Github.
Task
- FB-1843 / FB-1846 Kafka Avro Delete Consumer Functionality (delete full records, delete by value)
- FB-1893 Date/Time scalar function - datetimeadd
- FB-1894 Date/Time scalar function - datetimediff
- FB-1895 Date/Time scalar function - datetimefromparts
- FB-1896 Date/Time scalar function - datetimename
- FB-1897 Date/Time scalar function - datetimepart
- FB-1961 Date/Time scalar function - date_trunc
- FB-1952 Kakfa Bulk Insert Tooling
Issues
- Dashboard UI still isn't showing metrics on imports
- Delete can delete records it probably shouldn't
Comments
Keep in mind we don't support all SQL statements, yet.