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Branching and Tagging
Branching and Tagging Overview Iceberg table metadata maintains a snapshot log, which represents the changes applied to a table. Snapshots are fundamental in Iceberg as they are ... -
Java Quickstart
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... -
Overview
Redisson is the Java Client and Real-Time Data Platform for Redis or Valkey . Providing the most convenient and easiest way to work with Redis or Valkey. Redisson objects provide ... -
Retention
Introduction Design Overview of Gobblin Config Management Library Retention Constructs DatasetCleaner DatasetFinder ManagedCleanableDatasetFinder ConfigurableCleanableDataset ... -
State Management and Watermarks
Managing Watermarks in a Job Basics Task Failures Multi-Dataset Jobs Gobblin State Deep Dive State class hierarchy How States are Used in a Gobblin Job This page has two p... -
EventMesh Stream
EventMesh Stream Overview of Event Streaming Requirements Functional Requirements Design Details Architecture Design EventMesh-Stream Component Event Event Channel Event End... -
Getting Started
Getting Started The latest version of Iceberg is 1.8.1 . Spark is currently the most feature-rich compute engine for Iceberg operations. We recommend you to get started with Spar... -
Amazon Athena
To read a OneTable synced target table (regardless of the table format) in Amazon Athena, you can create the table either by: Using a DDL statement as mentioned in the following... -
CloudEvents Integration
CloudEvents Integration Introduction Requirements Functional Requirements Performance Requirements Design Details Pluggable Protocols Process of CloudEvents under EventMesh Fo... -
Partitioning
Partitioning What is partitioning? Partitioning is a way to make queries faster by grouping similar rows together when writing. For example, queries for log entries from a logs ...
