Querying with SQL Querying with DataFrames Catalogs with DataFrameReader Time travel SQL DataFrame Incremental read Inspecting tables History Metadata Log Entries Snapshot...
Support Those Engines Key Features Description Supported DataSource Info Sink Options Data Type Mapping Supported import data formats Task Example Simple: Use JSON format t...
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...
Support Those Engines Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key features Supported DataSource Info Data Type Mapping Source Options ...
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...
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...
Step 1: Deployment SeaTunnel And Connectors Step 2: Deployment And Config Flink Step 3: Add Job Config File to define a job Step 4: Run SeaTunnel Application What’s More Ste...
each map reduce reduceRight find filter findWhere where reject every some contains invoke pluck max min sortBy groupBy indexBy countBy shuffle sample toArray ...