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  • Assign Masters

    Next Step The Cluster Install wizard assigns the master components for selected services to appropriate hosts in your cluster and displays the assignments in Assign Masters. The ...
  • Run Java SDK Demo

    Run Java SDK Demo 1. TCP 1.1 ASYNC 1.2 BROADCAST 2 HTTP 2.1 ASYNC 3 GRPC 3.1 ASYNC Publish & Webhook Subscribe 3.2 SYNC Publish & Stream Subscribe 3.3 Publish BATCH Message ...
  • Getting Started

    1874 2025-03-14 《Redisson 3.45.0》
    1. Add dependency Maven <dependency> <groupId> org.redisson </groupId> <artifactId> redisson </artifactId> <version> xVERSIONx </version> </dependency> ...
  • Data serialization

    1749 2025-03-14 《Redisson 3.45.0》
    Data serialization is extensively used by Redisson to marshall and unmarshall bytes received or sent over network link with Redis or Valkey server. Many popular codecs are availabl...
  • Knative

    Knative Prerequisite Create Knative Source and Sink Set up EventMesh Configuration Step 2: Publish an Event Message from Knative Step 3: Subscribe from an EventMesh Expected Res...
  • TCP Protocol

    TCP Protocol TCP Consumer TCP Producer Asynchronous Producer Synchronous Producer TCP Protocol EventMesh SDK for Java implements the TCP producer and consumer of synchronous...
  • Pipelining

    1711 2025-03-15 《Redisson 3.45.0》
    Multiple commands can be sent in a batch using RBatch object in a single network call. Command batches allows to reduce the overall execution time of a group of commands. In Redis...
  • High Level Consumer

    1704 2025-03-26 《Apache Gobblin 0.17.0》
    Problem Statement New Design & Details Problem Statement Current Gobblin Kafka High Level Consumer uses Kafka Consumer (0.8) APIs and gobblin support for them will be depreca...
  • cluster-mode

    Run Job With Cluster Mode Deploy SeaTunnel Engine Cluster Submit Job Run Job With Cluster Mode This is the most recommended way to use SeaTunnel Engine in the production envir...
  • Performance

    1688 2025-03-10 《Apache Iceberg 1.8.1》
    Performance Iceberg is designed for huge tables and is used in production where a single table can contain tens of petabytes of data. Even multi-petabyte tables can be read from ...