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HiveMQ 4.5.20 Maintenance Release

by HiveMQ Team

The HiveMQ team is pleased to announce the availability of HiveMQ 4.5.20.

This maintenance release for the 4.5 series includes the following improvements:

HiveMQ Server

  • Reduced memory usage during the trace recording of MQTT packets.
  • Fixed an issue that could cause the HiveMQ broker to log duplicate extension starts during startup on some Windows desktop installations.
  • Adjusted the naming of extension executors to facilitate accurate debugging.
  • Fixed an issue in which overload protection could unnecessarily prevent a client from publishing.
  • Fixed an issue where messages got enqueued and not delivered to connected clients after a node left the cluster.
  • Improved clean-up handling when overload protection back-pressure ends for better memory usage.
  • Added metric com.hivemq.shared-subscriptions.overall.current that tracks the current number of shared subscriptions on the HiveMQ broker.

HiveMQ Enterprise Bridge Extension

  • Improved the clarity of HiveMQ Enterprise Bridge Extension loss of connection log entries.

MQTT CLI

  • Added the -m:empty to the publish command of the MQTT CLI to specify an empty payload.
  • Adjusted the MQTT CLI tool to ensure correct handling of the no clean start option in PUBLISH and CONNECT operations.
  • MQTT CLI now prints no malformed output on unsupported platforms for ANSI colorings.
  • The debian package of the MQTT CLI now supports headless java runtimes.
  • Adjusted the MQTT CLI tool to ensure correct handling of the request problem information option in PUBLISH and CONNECT operations.
  • Fixed an issue in the MQTT CLI tool to ensure that user properties are correctly included in UNSUBSCRIBE operations.

Have a great day, The HiveMQ Team

HiveMQ Team

Team HiveMQ shares deep expertise in MQTT, Industrial AI, IoT data streaming, Unified Namespace (UNS), and Industrial IoT protocols. Our blogs explore real-world challenges, practical deployment guidance, and best practices for building modern, reliable, and a secure data backbone on the HiveMQ platform, along with thought leadership shaping the future of the connected world.

We’re on a mission to build the Industrial AI Platform that transforms industrial data into real-time intelligence, actionable insights, and measurable business outcomes.

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