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StarRocks
Support These Engines Key Features Description Sink Options save_mode_create_template table [string] schema_save_mode[Enum] data_save_mode[Enum] custom_sql[String] Data Ty... -
Mixed-Iceberg
Compared with Iceberg format, Mixed-Iceberg format provides more features: Stronger primary key constraints that also apply to Spark OLAP performance that is production-ready fo... -
MongoDB
Support Those Engines Key features Description Supported DataSource Info Data Type Mapping Sink Options Tips How to Create a MongoDB Data Synchronization Jobs Parameter Int... -
Clickhouse
Support Those Engines Key Features Description Supported DataSource Info Data Type Mapping Sink Options How to Create a Clickhouse Data Synchronization Jobs Tips Clickhouse... -
Self-Optimizing
Introduction Self-optimizing mechanism Self-optimizing scheduling policy Quota Balanced Introduction Lakehouse is characterized by its openness and loose coupling, with data... -
Intro To Connector V2 Features
Differences Between Connector V2 And Connector v1 Source Connector Features exactly-once column projection batch stream parallelism support user-defined split support multip... -
Oracle
Support Those Engines Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Supported DataSource Info Database Dependency Data Type Map... -
Getting Started
Using Iceberg in Spark 3 Adding catalogs Creating a table Writing Reading Next steps The latest version of Iceberg is 1.5.2 . Spark is currently the most feature-rich compu... -
Apache Doris Connector
Apache Doris Connector Write with Apache StreamPark™ Configuration list Write data to Doris Apache Doris Connector Apache Doris is a high-performance, and real-time analytic... -
Flink Getting Started
Iceberg format Paimon format Mixed format Environment preparation Mixed-Hive format Frequently Asked Questions Iceberg format The Iceberg Format can be accessed using the C...
