Apache Hudi 0.15.0
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Storage Configurations

来源 Apache Hudi 浏览 211 扫码 打印 2024-07-01 13:05:27
  • Cloud Storage
  • AWS S3
  • Google Cloud
  • Alibaba Cloud
  • Microsoft Azure
  • Tencent Cloud
  • IBM Cloud
  • Baidu Cloud
  • JuiceFS
  • Oracle Cloud Infrastructure
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  • Apache Hudi 0.15.0
  • Getting Started
    • Overview
    • Spark Quick Start
    • Flink Quick Start
    • Docker Demo
    • Use Cases
  • Design & Concepts
    • Apache Hudi Stack
    • Timeline
    • File Layouts
    • Table & Query Types
    • Indexing
    • Write Operations
    • Key Generation
    • Record Payload
    • Schema Evolution
    • Metadata Table
    • Concurrency Control
  • Ingestion
    • Using Spark
    • Using Flink
    • Using Kafka Connect
  • Writing Tables
    • SQL DDL
    • SQL DML
    • Batch Writes
    • Streaming Writes
  • Reading Tables
    • SQL Queries
    • Batch Reads
    • Streaming Reads
  • Table Services
    • Bootstrapping
    • Compaction
    • Clustering
    • Metadata Indexing
    • Cleaning
    • Rollback Mechanism
    • Marker Mechanism
    • File Sizing
    • Disaster Recovery
  • Platform Services
    • Exporter
    • Data Quality
    • Post-commit Callback
    • Syncing to Catalogs
      • AWS Glue Data Catalog
      • DataHub
      • Hive Metastore
      • Google BigQuery
      • Apache XTable (incubating)
  • Operations
    • Performance
    • Deployment
    • SQL Procedures
    • CLI
    • Metrics
    • Encryption
    • Troubleshooting
    • Spark Tuning Guide
    • Flink Tuning Guide
  • Configurations
    • Basic Configurations
    • All Configurations
    • Storage Configurations
      • Cloud Storage
      • AWS S3
      • Google Cloud
      • Alibaba Cloud
      • Microsoft Azure
      • Tencent Cloud
      • IBM Cloud
      • Baidu Cloud
      • JuiceFS
      • Oracle Cloud Infrastructure
  • Frequently Asked Questions(FAQs)
    • Overview
    • General
    • Design & Concepts
    • Writing Tables
    • Reading Tables
    • Table Services
    • Storage
    • Integrations
  • Privacy Policy
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