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参数传递
参数的引用 本地任务引用全局参数 上游任务传递给下游任务 任务样例 创建 SHELL 任务并设置参数 创建 SQL 任务并使用参数 保存工作流并设置全局参数 查看运行结果 Python 任务传递参数 SubProcess 任务传递参数 Kubernetes 任务传递参数 参数的引用 DolphinScheduler 提供参数间相互引... -
What is Apache StreamPark™
Apache StreamPark™ 🚀 What is Apache StreamPark™ Why Apache StreamPark™? 🎉 Features 🏳🌈 Architecture of Apache StreamPark™ 1️⃣ streampark-core 2️⃣ streampark-console Apache... -
Kyuubi Hive JDBC Driver
Referencing the JDBC Driver Libraries Using the Driver in Java Code Maven sbt Gradle Using the Driver in a JDBC Application Registering the Driver Class Building the Connect... -
平台安装介绍
目的和范围 目标受众 系统要求 硬件要求 软件要求 安装前准备 下载&&配置flink 引入MySQL依赖包 下载Apache StreamPark™ 安装 初始化系统数据 查看执行StreamPark元数据SQL文件 连接MySQL数据库 && 执行初始化脚本 查看执行结果 Apache StreamPark™配置 配置mysql... -
Spark Quick Start
Setup Spark 3 Support Matrix Spark Shell/SQL Setup project Create Table Insert data Query data Update data Merging Data Delete data Time Travel Query Incremental query ... -
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... -
AWS
Enabling AWS Integration Spark Flink HTTP Client Configurations URL Connection HTTP Client Configurations Apache HTTP Client Configurations Run Iceberg on AWS Amazon Athena ... -
Writing Tables
What are some ways to write a Hudi table? How is a Hudi writer job deployed? Can I implement my own logic for how input records are merged with record on storage? How do I delet... -
Introduction
Architecture Supported table formats Supported engines Iceberg format Paimon format Mixed format User cases Self-managed streaming Lakehouse Stream-and-batch-fused data pipe... -
Quick Start
Quick Start Configure FLINK_HOME Configure Flink Cluster Start Flink Standalone Session on Server Configure Flink Cluster Create Job Main Parameters Create Job Save Job Bui...
