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Java API
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... -
Distributed objects
Object holder Java implementation of Redis or Valkey based RBucket object is a holder for any type of object. Size is limited to 512Mb. Code example: RBucket < AnyObject > buc... -
Config Management
Introduction Dataset Config Management Requirement Data Model Versioning Client library Config Store Current Dataset Config Management Implementation Data model Client appli... -
Configuration
Spark Configuration Catalogs Spark adds an API to plug in table catalogs that are used to load, create, and manage Iceberg tables. Spark catalogs are configured by setting Spark ... -
FAQs
Gobblin General Questions What is Gobblin? What programming languages does Gobblin support? Does Gobblin require any external software to be installed? What Hadoop versions can ... -
Auxiliary SQL Functions
Kyuubi provides several auxiliary SQL functions as supplement to Hive’s Built-in Functions Name Description Return Type Since kyuubi_version Return the version of Ky... -
Flink Queries
Flink Queries Iceberg support streaming and batch read With Apache Flink ‘s DataStream API and Table API. Reading with SQL Iceberg support both streaming and batch read in Flink... -
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 ... -
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... -
Microservices integration
Spring Boot For Spring Boot usage please refer to Spring Boot article. Micronaut Redisson integrates with Micronaut framework. Supports Micronaut 2.0.x - 4.x.x Usage 1. A...
