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Object
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Creating your first interoperable table
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... -
Procedures
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... -
Seatunnel runs on Flink
Set Flink configuration information in the job How to set up a simple Flink job How to run a job in a project Flink is a powerful high-performance distributed stream processing... -
Solution for Big Result Sets
Incremental collection Use in single connections Change incremental collection mode in session Typically, when a user submits a SELECT query to Spark SQL engine, the Driver cal... -
Spark Configuration
Catalogs configuration Using Mixed-Format in a standalone catalog Using Mixed-Format in session catalog The high availability configuration Catalogs configuration Using Mixe... -
Overview
Apache AGE is a PostgreSQL extension that provides graph database functionality. AGE is an acronym for A Graph Extension, and is inspired by Bitnine’s fork of PostgreSQL 10, Agens... -
Object
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MetaData
XML MetaData Annotations All variants of JDO support specification of persistence using XML MetaData. JDO 2.1+ adds on the ability to specify persistence using Java annotations.... -
Hive Metastore
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) ...
