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Serialize Data Formats

技能已验证活跃

Serialize and deserialize data across common formats including JSON, XML, YAML, Protocol Buffers, MessagePack, and Apache Arrow/Parquet. Covers format selection criteria, encoding/decoding patterns, performance trade-offs, and interoperability considerations. Use when choosing a wire format for API communication, persisting structured data to disk, exchanging data between systems written in different languages, optimizing transfer size or parsing speed, or migrating from one serialization format to another.

目的

To guide users in choosing and correctly implementing the most appropriate data serialization format for their specific use case, ensuring efficiency and interoperability.

功能

Format selection criteria and decision trees
Implementation examples in Python, R, and Bash
Performance trade-off analysis
Handling of common data types and edge cases
Guidance on schema evolution and binary data handling

使用场景

Choosing a wire format for API communication
Persisting structured data to disk or object storage
Exchanging data between systems in different languages
Optimizing data transfer size or parsing speed
Migrating between serialization formats

非目标

Designing complex data schemas from scratch
Handling real-time streaming data beyond basic examples
Providing specific tooling for legacy XML parsing issues
Deep dives into niche serialization formats

安装

/plugin install agent-almanac@pjt222-agent-almanac

质量评分

已验证

97 /100

about 22 hours ago 分析

信任信号

最近提交2 days ago

GitHub 所有者 pjt222

星标14

下载量 308

许可证MIT

网站pjt222.github.io

状态

查看源代码

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