Iceberg Java API Tables The main purpose of the Iceberg API is to manage table metadata, like schema, partition spec, metadata, and data files that store table data. Table metad...
Introduction Dataset Config Management Requirement Data Model Versioning Client library Config Store Current Dataset Config Management Implementation Data model Client appli...
Mixed-Hive format is a format that has better compatibility with Hive than Mixed-Iceberg format. Mixed-Hive format uses a Hive table as the BaseStore and an Iceberg table as the C...
Hive Connector Integration Dependencies Configurations Hive Connector Operations The Kyuubi Hive Connector is a datasource for both reading and writing Hive table, It is imple...
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...
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...