Humio Server 1.15.2 Preview (2020-09-29)

VersionTypeRelease DateEnd of SupportUpgrades FromData MigrationConfig. Changes
1.15.2Preview2020-09-292020-10-091.12.0NoNo
JAR ChecksumValue
MD5682ce1370121f12351ade4d22aac9d59
SHA14b0a7d089cadc867582ab067e80ccbaa421d6869
SHA25664179665b0993212736c526d4c9e5af57511d2225673646c6de9f54c6685e9f9
SHA5123d63d22285b955637128bfaaf8223e4f59c32a92b66180997307b22cdda6d360c2436f0b63fb55ee57b52cdb34a0b0ddc2ad28f4db9d63ae62e10c8f0846dc80

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

Bug Fixes

  • Summary

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

    • 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.

    • 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.