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Architecture
Gobblin Architecture Overview Gobblin Job Flow Gobblin Constructs Source and Extractor Converter Quality Checker Fork Operator Data Writer Data Publisher Gobblin Task Flow... -
Query
Query API JDOQL Methods Result Quick Ref PDF JDOQL Typed API SQL -
Flink Writes
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... -
SeaTunnel Engine
about deployment local-mode cluster-mode savepoint checkpoint-storage rest-api tcp engine-jar-storage-mode -
General
Why JDO? Getting Started Specifications TCK API Javadoc JDO v JPA JDO v JPA : API JDO v JPA : ORM License Implementations JDO 3.0 Overview References Glossary -
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... -
Configuration Glossary
Table of Contents Properties File Format Creating a Basic Properties File Job Launcher Properties Common Job Launcher Properties SchedulerDaemon Properties CliMRJobLauncher Pr... -
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 ... -
Writes
Spark Writes To use Iceberg in Spark, first configure Spark catalogs . Some plans are only available when using Iceberg SQL extensions in Spark 3. Iceberg uses Apache Spark’s D...
