Apache Hudi is an open data lakehouse platform, built on a high-performance open table format to bring database functionality to your data lakes. Hudi reimagines slow old-school batch data processing with a powerful new incremental processing framework for low latency minute-level analytics.

Apache Hudi 1.2.0

Storage Configurations

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资源

其他

Overview

Spark Quick Start

Flink Quick Start

Python/Rust Quick Start

Unstructured Data Quick Start

Docker Demo

Use Cases

Getting Started

The Hudi Stack

Timeline

Storage Layouts

Write Operations

Table & Query Types

Key Generation

Record Merger

Table Metadata

Indexes

Concurrency Control

Schema Evolution

Design & Concepts

Using Spark

Using Flink

Using Kafka Connect

Ingestion

SQL DDL

SQL DML

Batch Writes

Streaming Writes

Writing Tables

SQL Queries

Batch Reads

Streaming Reads

Reading Tables

Compaction

Clustering

Cleaning

Indexing

File Sizing

Auto Rollbacks

Marker Mechanism

Table Services

AWS Glue Data Catalog

Google BigQuery

DataHub

Apache Hive Metastore

Apache XTable (Incubating)

Apache Polaris (Incubating)

Data Catalogs

Exporter

Data Quality

Post-commit Callback

Disaster Recovery

Bootstrapping

Platform & Tools

Performance

Deployment

SQL Procedures

Metrics

Encryption

Troubleshooting

Spark Tuning Guide

Flink Tuning Guide

Operating Hudi

Basic Configurations

All Configurations

Cloud Storage

AWS S3

Google Cloud

Alibaba Cloud

Microsoft Azure

Tencent Cloud

IBM Cloud

Baidu Cloud

JuiceFS

Oracle Cloud Infrastructure

KS3 Filesystem

GooseFS Filesystem

Configurations

Storage Configurations

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