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  • Apache HBase Connector

    HBase写入依赖 常规方式写入读取HBase 1.创建库表 2.写入读取demo Apache StreamPark™ 读写 HBase 1. 配置策略和连接信息 2. 读写入HBase 其他配置 Apache HBase 是一个高可靠性、高性能、面向列、可伸缩的分布式存储系统,利用 HBase 技术可在廉价服务器上搭建起大规模结构化存...
  • Features

    4642 2024-06-21 《Apache Accumulo 2.x》
    Table Design and Configuration Iterators Security labels Constraints Sharding Large Rows Namespaces Volume support Integrity/Availability Manager fail over Logical time L...
  • MongoDB CDC

    Support Those Engines Key Features Description Supported DataSource Info Availability Settings Data Type Mapping Source Options Tips: How to Create a MongoDB CDC Data Synch...
  • Platform Deployment

    Environmental requirements ​ Hadoop ​ Kubernetes ​ Build & Deploy ​ Environmental requirements ​ install streampark ​ Initialize table structure ​ Modify the configurat...
  • Redis Connector

    Redis写入依赖 常规方式写 Redis 1.接入source 2. 写入redis Apache StreamPark™ 写入 Redis 1. 配置策略和连接信息 2. 写入Redis 支持的redis操作命令 其他配置 Redis 是一个开源内存数据结构存储系统,它可以用作数据库、缓存和消息中间件。 它支持多种类型的数据结构,如字...
  • Apache Kafka Connector

    Dependencies Kafka Source (Consumer) example Advanced configuration parameters Consume multiple Kafka instances Consume multiple topics Topic dynamic discovery Consume from t...
  • Apache Hudi Stack

    4179 2024-06-28 《Apache Hudi 0.15.0》
    Lake Storage File Formats Transactional Database Layer Table Format Indexes Table Services Clustering Compaction Cleaning Indexing Concurrency Control Lake Cache* Metase...
  • FAQs

    Why should I install a computing engine like Spark or Flink? I have a question, and I cannot solve it by myself How do I declare a variable? How do I write a configuration item ...
  • 项目配置

    为什么需要配置 flink option property 基础参数 Memory参数 配置总内存 Table app sql 总结 配置在StreamPark 中是非常重要的概念,先说说为什么需要配置 为什么需要配置 开发DataStream 程序,大体流程都可以抽象为以下4步 StreamExecutionEnvironm...
  • MySQL CDC

    Support Those Engines Description Key features Supported DataSource Info Using Dependency Install Jdbc Driver For Flink Engine For SeaTunnel Zeta Engine Creating MySQL user ...