Creating your first interoperable table Using Apache XTable™ (Incubating) to sync your source tables in different target format involves running sync on your current dataset usi...
Spark Procedures To use Iceberg in Spark, first configure Spark catalogs . Stored procedures are only available when using Iceberg SQL extensions in Spark 3. Usage Procedures c...
JDO defines XML MetaData in jdo files as well as orm files. As always with XML, the metadata must match the defined DTD/XSD for that file type. This section describes the conten...
Flink Writes Iceberg support batch and streaming writes With Apache Flink ‘s DataStream API and Table API. Writing with SQL Iceberg support both INSERT INTO and INSERT OVERWRIT...
Introduction Hive on Spark Differences Between Kyuubi and HiveServer2 Performance References Introduction HiveServer2 is a service that enables clients to execute Hive QL qu...
Syncing to Hive Metastore This document walks through the steps to register an Apache XTable™ (Incubating) synced table on Hive Metastore (HMS). Pre-requisites Source table(s) ...
JDO defines XML MetaData in jdo files as well as orm files, but also specifies that named queries can be defined in jdoquery files. As always with XML, the metadata must match t...