本篇技术指南围绕 Apache Arrow 的 Python 绑定 pyarrow.json 模块展开，系统讲解如何将行分隔（line-delimited）JSON 文件高效读入 Arrow 列式内存格式，包括自动类型推断的完整规则、read_json 的基本用法、ReadOptions 与 ParseOptions 的每个参数及其默认值，并深入 C++ 实现层（cpp ...

文章浏览阅读157次。JSON 是数据工程中最通用的交换格式之一。Apache Beam 为 Python SDK 提供了内置的 `ReadFromJson` 变换，让你无需手写解析逻辑即可将 JSON 文件（含 JSON Lines）读取为 PCollection，并借助 pandas 的 `read_json` 语义获得类型推断、orient 灵活适配等能力。本文以 Beam ...

In today’s digital world, data is the backbone of many applications and platforms. As a result, there is a growing need for extracting valuable information from various formats and making it easily ...

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to ...

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IntroductionWhen drawing graphs in Python, it is common to use a step-by-step approach: setting axes, adjusting legends, ...

i18n JSON to XLSX Converter is a CLI tool runs in a terminal, and helps you to convert a JSON file(s) to EXCEL sheet(s) including keys column defined as nested with dot notation, and the values column ...

Explore the top Java Excel API Libraries and their notable features for your applications in this review of leading options. If you want to learn Microsoft Excel, a productivity tool for IT ...

The tiniest AI model I've tried on a Raspberry Pi 5 is only 29MB, and it's surprisingly handy ...

Overview: Polars pairs a Rust engine with column-based storage and multi-core execution to cut wasted work in Python ...