Introduction Self-optimizing mechanism Self-optimizing scheduling policy Quota Balanced Introduction Lakehouse is characterized by its openness and loose coupling, with data...
Support Iceberg Version Support Those Engines Key features Description Supported DataSource Info Database Dependency Data Type Mapping Source Options Task Example Simple: ...
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...
Introduce multi-catalog How to use Future work Introduce multi-catalog A catalog is a metadata namespace that stores information about databases, tables, views, indexes, users...
Connector V2 Health SeaTunnel uses a grading system for connectors to help you understand what to expect from a connector: Alpha Beta General Availability (GA) Expec...
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...
Syncing to Unity Catalog Pre-requisites Steps Running sync Register the target table in Unity Catalog Validating the results Conclusion Syncing to Unity Catalog This docum...
Syncing to Hive Metastore Pre-requisites Steps Running sync Register the target table in Hive Metastore Conclusion Syncing to Hive Metastore This document walks through the...