Humio Server 1.15.2 Preview (2020-09-29)

VersionTypeRelease DateEnd of SupportUpgrades FromData MigrationConfig. Changes
ValueJAR Checksum

Many bug fixes, including fixes related to login from Safari and Firefox, the join( ) function.

Bug Fixes

  • Summary

    • Fixed a memory leak when authenticating in AWS setups.

    • Improved naming of threads to get more usable thread dumps.

    • Avoid overloading kafka with updates for the global database by collecting operations in bulk.

    • Fixed a bug in the partition table optimizer that lead to unbalanced layouts.

    • Fixed a problem with scrolling on the login page on screens with low resolution.

    • Changed priorities when fetching segments to a node which have been offline for a longer period. This avoids waiting too long before the cluster becomes fully synced.

    • Made the login and sign up pages responsive to the device.

    • Changed the query scheduling to account for the work of the overall query, rather than per job started. This allows fairer scheduling of queries hitting many dataspaces e.g. when using search-all.

    • Improved handling of sub-queries polling state from the main query when using join().

    • Added logging to detect issues when truncating finished files.

    • Generate ingest tokens in UUID format, replacing the current format for any new tokens being created.

    • Fixed a bug causing an authentication error when trying to download a file when authenticating by proxy.

    • Fixed a problem where the login link did not work in Safari and Firefox.

    • Fixed an issue showing duplicate entries when searching for users.

    • Fixed an issue where a slow data stream could cause Humio to retain more data in Kafka than necessary, as well as cause a restarted Humio node to reprocess too much data.

    • In the dialog for saving a search as an alert, the save button is no longer always grey and boring, but can actually save alerts again.

    • Only consider fully replicated data when calculating which offsets can be pruned from Kafka.