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Develop Tools
1. Building Kyuubi 2. Building a Runnable Distribution 3. Building Kyuubi Documentation 4. Running Tests 5. Debugging Kyuubi 6. Developer Tools -
Job Configuration Files
Job Configuration Basics Hierarchical Structure of Job Configuration Files Password Encryption Adding or Changing Job Configuration Files Scheduled Jobs One Time Jobs Disable... -
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... -
DDL
Spark DDL To use Iceberg in Spark, first configure Spark catalogs . Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. CREATE TABLE Spark... -
Schedulers
Introduction Quartz Azkaban Oozie Launching Gobblin in Local Mode Example Config Files Uploading Files to HDFS Adding Gobblin jar Dependencies Launching the Job Launching ... -
Structured Streaming
Spark Structured Streaming Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Spark DSv2 is an evolving API with different levels of support... -
Contributing Documentations
Get Started Documentation Style Guide Building Documentation -
Building Gobblin
Overview Information Recorded Job Execution Information Task Execution Information Default Implementation Rest Query API Example Queries Job Execution History Server Over... -
Job Execution History Store
Overview Information Recorded Job Execution Information Task Execution Information Default Implementation Rest Query API Example Queries Job Execution History Server Over... -
Flink Connector
Flink Connector Apache Flink supports creating Iceberg table directly without creating the explicit Flink catalog in Flink SQL. That means we can just create an iceberg table by s...
