-
变量管理
背景介绍 创建变量 在Flink SQL中引用变量 在Flink JAR作业的args中引用变量 背景介绍 在实际生产环境中，Flink作业一般很复杂，会依赖多个外部组件，例如，从Kafka中消费数据时要从HBase或Redis中去获取相关数据，然后将关联好的数据写入到外部组件，这样的情况下会导致如下问题： Flink作业想要关联这些组件，需... -
Socket
Support Those Engines Key features Description Sink Options Task Example Changelog 2.2.0-beta 2022-09-26 Socket sink connector Support Those Engines Spark Flink SeaTu... -
Streaming Reads
Spark Streaming Spark Streaming Structured Streaming reads are based on Hudi’s Incremental Query feature, therefore streaming read can return data for which commits and base fil... -
Yarn 队列管理
背景介绍 如何创建Yarn队列 如何使用可用队列 该功能的相关条目 背景介绍 在实际的生产环境中，针对 Yarn 部署模式 ， 用户通常需要输入 queue 或 queue &labels 来指定 yarn-application 模式下的 Flink 应用程序 或 yarn-session 模式下的 Flink 集群的配置。 在此过程中... -
Console
Support Connector Version Support Those Engines Description Key Features Options Task Example Simple: Multiple Sources Simple: Console Sample Data Console sink connector... -
OpenMldb
Description Key features Options cluster_mode [string] sql [string] database [string] host [string] port [int] zk_host [string] zk_path [string] session_timeout [int] req... -
Maintenance
Maintenance Maintenance operations require the Table instance. Please refer Java API quickstart page to refer how to load an existing table. Recommended Maintenance Expire... -
Fork Operator
Overview of the ForkOperator Using the ForkOperator Basics of Usage Per-Fork Configuration Failure Semantics Performance Tuning Comparison with PartitionedDataWriter Writing... -
GoogleSheets
Description Key features Options service_account_key [string] sheet_id [string] sheet_name [string] range [string] schema [config] fields [config] Example Changelog next ... -
Java API
Iceberg Java API Tables The main purpose of the Iceberg API is to manage table metadata, like schema, partition spec, metadata, and data files that store table data. Table metad...
