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Introduction
Architecture Supported table formats Supported engines Iceberg format Paimon format Mixed format User cases Self-managed streaming Lakehouse Stream-and-batch-fused data pipe... -
3. Integration with Hive Metastore
Integration with Hive Metastore Requirements Default Behavior Related Configurations Remote Metastore Database Remote Metastore Server Activate Configurations Via kyuubi-defau... -
Architecture
Introduction Architecture Overview Unified Interface Runtime Resource Resiliency High Availability & Load Balance Authentication & Authorization Conclusions Introduction K... -
Concurrency Control
Deployment models with supported concurrency controls Model A: Single writer with inline table services Single Writer Guarantees Model B: Single writer with async table services ... -
General
When is Hudi useful for me or my organization? What are some non-goals for Hudi? What is incremental processing? Why does Hudi docs/talks keep talking about it? How is Hudi opti... -
Troubleshooting
Writing Tables org.apache.parquet.io.InvalidRecordException: Parquet/Avro schema mismatch: Avro field ‘col1’ not found java.lang.UnsupportedOperationException: org.apache.parquet.... -
Design & Concepts
How does Hudi ensure atomicity? Does Hudi extend the Hive table layout? What concurrency control approaches does Hudi adopt? Hudi’s commits are based on transaction start time i... -
Configuration
Using Redisson API Programmatic configuration is performed by the Config object instance. For example: Config config = new Config (); config . setTransportMode ( Transpo... -
Categraf
基本介绍 采集插件 基本介绍 Categraf 是一款 all-in-one 的采集器，由 快猫团队 开源，代码托管在： github: https://github.com/flashcatcloud/categraf Categraf 不但可以采集 OS、MySQL、Redis、Oracle 等常见的监控对象，也准备提供日志采集能力和 ... -
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