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Tracing
Configuring Tracing Instrumenting a Client Tracing from the Shell It can be difficult to determine why some operations are taking longer than expected. For example, you may be ... -
Spark Getting Started
Paimon Format Mixed Format Adding catalogs Creating a table Writing to the table Reading from the table The Iceberg Format can be accessed using the Connector provided by Ic... -
Creating your first interoperable table
Creating your first interoperable table Using Apache XTable™ (Incubating) to sync your source tables in different target format involves running sync on your current dataset usi... -
Shell
Shell 综述 创建任务 任务参数 任务样例 简单打印一行文字 使用自定义参数 注意事项 Shell 综述 Shell 任务类型，用于创建 Shell 类型的任务并执行一系列的 Shell 脚本。worker 执行该任务的时候，会生成一个临时 shell 脚本，并使用与租户同名的 linux 用户执行这个脚本。 创建任务 点击项... -
Setup Options
More Information The following options are frequently used for Ambari Server setup. -j (or —java-home) Specifies the JAVA_HOME path to use on the Ambari Server and all hosts i... -
Deploy Kyuubi engines on Kubernetes
Requirements Configurations Master Deploy Mode Docker Image Test Cluster ServiceAccount Volumes PodTemplateFile Other Requirements When you want to run Kyuubi’s Spark S... -
Configuration Files
accumulo.properties accumulo-client.properties accumulo-env.sh Log configuration files log4j2-service.properties log4j2.properties cluster.yaml gc manager monitor tserver ... -
DataHub
Configurations Example DataHub is a rich metadata platform that supports features like data discovery, data obeservability, federated governance, etc. Since Hudi 0.11.0, you c... -
quick-start-spark
Step 1: Deployment SeaTunnel And Connectors Step 2: Deployment And Config Spark Step 3: Add Job Config File to define a job Step 4: Run SeaTunnel Application What’s More Ste... -
IoTDB
Support Those Engines Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key features Supported DataSource Info Data Type Mapping Source Options ...
