Storm 2.6.0.2 Jun 2026
New capacity to set titles in conf/storm.yaml , improving cluster management for multi-tenant environments.
| Feature | Status | |--------|--------| | Exactly-once semantics with Trident | Stable | | Fluent Java topology DSL | Stable | | Unicode support in topology names | Fixed | | Dynamic log level changes | Yes | | Kubernetes/Runtime support | Yes (via external runner) |
Upgraded Netty, the underlying networking framework, ensuring faster and more stable data transfer between workers.
Storm 2.6.0.2 is a maintenance release that includes several new features, improvements, and bug fixes. Some of the key features and enhancements in this version include: storm 2.6.0.2
wget https://downloads.apache.org/storm/apache-storm-2.6.0.2/apache-storm-2.6.0.2.tar.gz tar -xzf apache-storm-2.6.0.2.tar.gz -C /opt/storm/
continues the tradition of being fail-fast and stateless . If a worker node fails, the Nimbus (master) node automatically reassigns the task to another healthy supervisor, ensuring no data loss. Apache Storm
wget https://dlcdn.apache.org/storm/apache-storm-2.6.0.2/apache-storm-2.6.0.2.tar.gz tar -xzf apache-storm-2.6.0.2.tar.gz -C /opt/ ln -s /opt/apache-storm-2.6.0.2 /opt/storm New capacity to set titles in conf/storm
The evolution of the Apache Storm 2.6 series brought fundamental changes to performance optimization, memory footprint reduction, and ecosystem integrations. 1. Core Internal Refactoring
: Increases tuple serialization speeds when moving custom classes between distributed worker nodes. Advanced Resource Isolation
Stay ahead of the storm with Storm 2.6.0.2, a cutting-edge weather alert system that provides real-time updates and critical information to help you prepare for severe weather conditions. Some of the key features and enhancements in
Last updated: March 2025. This article reflects the state of Storm 2.6.0.2 as confirmed by the Apache Storm PMC.
If you are working with this specific version, you are likely looking for these technical highlights:
: The processing units. Bolts take incoming streams, execute business logic (filtering, aggregation, transformations, or database writes), and optionally emit new streams for downstream bolts.