-
Console
Support Connector Version Support Those Engines Description Key Features Options Task Example Simple: Multiple Sources Simple: Console Sample Data Console sink connector... -
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... -
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... -
Debugging Kyuubi
Debugging Server Debugging Engine Flink Engine Trino Engine Hive Engine Debugging Apps Spark Engine Flink Engine You can use the Java Debug Wire Protocol to debug Kyuubi ... -
Branching and Tagging
Branching and Tagging Overview Iceberg table metadata maintains a snapshot log, which represents the changes applied to a table. Snapshots are fundamental in Iceberg as they are ... -
Flink Queries
Flink Queries Iceberg support streaming and batch read With Apache Flink ‘s DataStream API and Table API. Reading with SQL Iceberg support both streaming and batch read in Flink... -
Introduction
Documentation Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, Trino, PrestoDB, Flink, Hive and Impala u... -
Auxiliary SQL Functions
Kyuubi provides several auxiliary SQL functions as supplement to Flink’s Built-in Functions Name Description Return Type Since kyuubi_version Return the version of K... -
Getting Started
Overview Spark Quick Start Flink Quick Start Docker Demo Use Cases -
Flink Configuration
Flink Configuration Catalog Configuration A catalog is created and named by executing the following query (replace <catalog_name> with your catalog name and <config_key> =<confi...
