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Apache DataFusion: Rust-Native SQL & DataFrame Query Engine
Apache DataFusion is a portable, highly extensible Rust-native query engine that supports SQL and DataFrames. It's built upon Apache Arrow and designed for high performance data processing.
Rust
Added on 2025年6月24日7,373
Stars1,516
ForksRust
LanguageProject Introduction
Summary
Apache DataFusion is a modern, Rust-native query engine supporting SQL and DataFrame operations. It's built on the Apache Arrow memory model and designed to be lightweight, extensible, and highly performant for data processing tasks.
Problem Solved
Provides a high-performance, flexible, and embeddable query engine written in Rust for processing data without needing external large-scale systems like Spark or Trino for simpler use cases or specialized environments.
Core Features
SQL and DataFrame APIs
Process data using SQL or DataFrames with a familiar API.
Apache Arrow Integration
Leverages Apache Arrow for efficient in-memory data manipulation and zero-copy reads.
Embeddable Engine
Designed for embedding within other applications or databases.
Extensibility
Offers powerful extension points for custom functions, data sources, and optimizations.
Tech Stack
Rust
Apache Arrow
SQL
DataFrames
使用场景
Apache DataFusion is versatile and can be used in various data processing scenarios:
场景一：作为嵌入式查询引擎
Details
Embed DataFusion within a larger application (e.g., a database, data analysis tool, or CLI) to provide SQL or DataFrame querying capabilities directly.
User Value
Adds powerful data query functionality to your application with minimal overhead and high performance.
场景二：构建数据处理管道
Details
Build custom data processing pipelines or ETL jobs in Rust, leveraging DataFusion's query optimization and execution engine.
User Value
Enables creation of efficient, type-safe data transformations and aggregations directly in code.
场景三：数据湖探索与分析
Details
Analyze data stored in various formats (like Parquet, CSV) and locations (local files, S3) using a unified SQL interface without loading all data into memory.
User Value
Facilitates interactive or programmatic querying of large datasets stored in object storage or file systems.
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