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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... -
数据质量
概述 任务类型介绍 注意事项 检查逻辑详解 任务操作指南 单表检查之空值检查 检查介绍 界面操作指南 单表检查之及时性检查 检查介绍 界面操作指南 单表检查之字段长度校验 检查介绍 界面操作指南 单表检查之唯一性校验 检查介绍 界面操作指南 单表检查之正则表达式校验 检查介绍 界面操作指南 单表检查之枚举值校验 检查介绍... -
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... -
3. Integration with Hive Metastore
Integration with Hive Metastore Requirements Default Behavior Related Configurations Remote Metastore Database Remote Metastore Server Activate Configurations Via kyuubi-defau... -
Architecture
Introduction Architecture Overview Unified Interface Runtime Resource Resiliency High Availability & Load Balance Authentication & Authorization Conclusions Introduction K... -
Accumulo Clients
Creating Client Code Creating an Accumulo Client Authentication Writing Data BatchWriter ConditionalWriter Durability Reading Data Scanner Isolated Scanner BatchScanner ... -
Concurrency Control
Deployment models with supported concurrency controls Model A: Single writer with inline table services Single Writer Guarantees Model B: Single writer with async table services ... -
编程模型
架构 编程模型 DataStream Flink Sql TableEnvironment StreamTableEnvironment RunTime Context StreamingContext TableContext StreamTableContext 生命周期 生命周期之 — init 生命周期之 — config 生... -
DataX
DATAX 节点 综述 创建任务 任务参数 任务样例 在 DolphinScheduler 中配置 DataX 环境 配置 DataX 任务节点 查看运行结果 注意事项： DATAX 节点 综述 DataX 任务类型，用于执行 DataX 程序。对于 DataX 节点，worker 会通过执行 ${DATAX_LAUNCHER} 来... -
1. Monitoring Kyuubi - Logging System
Logs of Kyuubi Server Configuring Server Logging Basic Configurations KYUUBI_LOG_DIR KYUUBI_MAX_LOG_FILES Custom Log4j2 Settings Logs of Spark SQL Engine Configuring Engine L...
