Humio Server 1.15.2 Preview (2020-09-29)

VersionTypeRelease DateEnd of SupportUpgrades FromData MigrationConfig. Changes
JAR ChecksumValue

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

Bug Fixes

  • Summary

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

    • 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.

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

    • 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.

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

    • Fixed a memory leak when authenticating in AWS setups.

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

    • Added logging to detect issues when truncating finished files.

    • 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.

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

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

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

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

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

    • 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.

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