0.14.171

版本发布时间: 2023-12-19 21:42:23

tigerbeetle/tigerbeetle最新发布版本:0.16.0(2024-09-03 04:34:45)

0.14.171

Automated build. Do not use in production.

NOTE: You must run the same version of server and client. We do not yet follow semantic versioning where all patch releases are interchangeable.

Server

Binary: Download the zip for your OS and architecture from this page and unzip.
Docker: docker pull ghcr.io/tigerbeetle/tigerbeetle:0.14.171
Docker (debug image): docker pull ghcr.io/tigerbeetle/tigerbeetle:0.14.171-debug

NOTE: Because of package manager caching, it may take a few minutes after the release for this version to appear in the package manager.

.NET: dotnet add package tigerbeetle --version 0.14.171
Go: go mod edit -require github.com/tigerbeetle/tigerbeetle-go@v0.14.171
Java: Update the version of com.tigerbeetle.tigerbeetle-java in pom.xml to 0.14.171.
Node.js: npm install tigerbeetle-node@0.14.171

As the last release of the year 2023, the TigerBeetle team wishes everyone happy holidays! 🎁

#1359

We've established a rotation between the team for handling releases. As the one writing these release notes, I am now quite aware.
#1357

Fix panic in JVM unit test on Java 21. We test JNI functions even if they're not used by the Java client and the semantics have changed a bit since Java 11.
#1351, #1356, #1360

Move client sessions from the Superblock (database metadata) into the Grid (general storage). This simplifies control flow for various sub-components like Superblock checkpointing and Replica state sync.

#1352

An optimization for removes on secondary indexes makes a return. Now tombstone values in the LSM can avoid being compacted all the way down to the lowest level if they can be cancelled out by inserts.
#1257

Clients automatically batch pending similar requests 🎉! If a tigerbeetle client submits a request, and one with the same operation is currently in-flight, they will be grouped and processed together where possible (currently, only for CreateAccount and CreateTransfers). This should greatly improve the performance of workloads which submit a single operation at a time.