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Clickhouse
Support Those Engines Key Features Description Supported DataSource Info Data Type Mapping Source Options How to Create a Clickhouse Data Synchronization Jobs Tips Clickh... -
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... -
Github
Description Key features Options url [String] access_token [String] method [String] params [Map] body [String] poll_interval_millis [int] retry [int] retry_backoff_multipl... -
HdfsFile
Support Those Engines Key Features Description Supported DataSource Info Sink Options Tips Task Example Simple: For orc file format simple config For text file format with ... -
Objects
_.assign(object [, source1, source2, …, callback, thisArg]) Aliases Arguments Returns Example _.clone(value [, deep=false, callback, thisArg]) Arguments Returns Example _.... -
Iceberg
Iceberg Integration Dependencies Configurations Iceberg Operations Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines in... -
Elasticsearch
Description Key features Options hosts [array] username [string] password [string] index [string] source [array] array_column [array] query [json] scroll_time [String] sc... -
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 ... -
Iceberg
Iceberg format refers to Apache Iceberg table, which is an open table format for large analytical datasets designed to provide scalable, efficient, and secure data storage and qu... -
Iceberg
Iceberg Integration Dependencies Iceberg Operations Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, T...
