Scan planning Metadata filtering Data filtering Iceberg is designed for huge tables and is used in production where a single table can contain tens of petabytes of data. Even ...
Java API Quickstart Create a table Tables are created using either a Catalog or an implementation of the Tables interface. Using a Hive catalog The Hive catalog connects to...
Running Tests Running Tests Fully Running Tests for a Module Running Tests for a Single Test Running Tests Kyuubi can be tested based on Apache Maven and the ScalaTe...
Documentation Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, Trino, PrestoDB, Flink, Hive and Impala u...
Overview Information Recorded Job Execution Information Task Execution Information Default Implementation Rest Query API Example Queries Job Execution History Server Over...
Spark Structured Streaming Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Spark DSv2 is an evolving API with different levels of support...
Kyuubi v.s. HiveServer2 Introduction Hive on Spark Differences Between Kyuubi and HiveServer2 Performance References Kyuubi v.s. HiveServer2 Introduction HiveServer2 is a ...