Architecture Supported table formats Supported engines Iceberg format Paimon format Mixed format User cases Self-managed streaming Lakehouse Stream-and-batch-fused data pipe...
When is Hudi useful for me or my organization? What are some non-goals for Hudi? What is incremental processing? Why does Hudi docs/talks keep talking about it? How is Hudi opti...
Deployment models with supported concurrency controls Model A: Single writer with inline table services Single Writer Guarantees Model B: Single writer with async table services ...
How does Hudi ensure atomicity? Does Hudi extend the Hive table layout? What concurrency control approaches does Hudi adopt? Hudi’s commits are based on transaction start time i...
How To Use Spark Adaptive Query Execution (AQE) in Kyuubi The Basics of AQE Dynamically Switch Join Strategies Dynamically Coalesce Shuffle Partitions Other Tips for Best Practise...
http asynchronous write Write with Apache StreamPark™ http asynchronous write support type Configuration list of HTTP asynchronous write HTTP writes data asynchronously Other ...
Getting Started With Kyuubi and DBeaver What is DBeaver Preparation Get DBeaver and Install Get Kyuubi Started Configurations Start DBeaver Select a database Edit the Driver ...
How To Use Spark Dynamic Resource Allocation (DRA) in Kyuubi The Basics of Dynamic Resource Allocation How to Enable Dynamic Resource Allocation Dynamic Resource Allocation w/ Ext...
Support Those Engines Key Features Description Supported DataSource Info Data Type Mapping Source Options Tips How to Create a MongoDB Data Synchronization Jobs Parameter I...
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...