Use SQLite from Rust to build production-grade data tooling — the embedded, single-file SQL engine that ships in every Android phone, every iOS device, and most web browsers. You'll start with the basics of SQLite as a serverless library, then drive it from Rust with the rusqlite crate: opening file-backed and in-memory databases, running INSERT, SELECT, UPDATE, DELETE through prepared statements, and surfacing errors as `Result` rather than swallowing them. Module 2 turns the database into a real ETL stage: stream CSV with the csv crate and serde, ingest JSON with serde_json into typed columns or JSON1 blobs, and round-trip data back out as exports or full SQL dumps. The capstone builds **fscrawl** — a clap v4-driven CLI that walks a directory, upserts file metadata into SQLite, and exposes crawl, query, export, and db-dump subcommands. By the end you can ship a typed, transactional, embedded-SQL CLI tool from a single Rust binary.e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.
Covers what this course covers, prerequisites, how to follow along, embedded vs client-server, and SQLite's role in data engineering.
涵盖的内容
17个视频6篇阅读材料1个作业
显示有关单元内容的信息
17个视频•总计47分钟
Course Introduction•2分钟
Lesson 1.1 Introduction•0分钟
What is SQLite•4分钟
Overview of Client-Server Databases•4分钟
Create Your First SQLite Database•4分钟
Lesson 1.1 Conclusion•1分钟
Lesson 1.2 Introduction•1分钟
The rusqlite Crate•4分钟
Creating Your First Connection•4分钟
Creating an In-Memory Database•4分钟
Basic SQL Operations in Rust•5分钟
Lesson 1.2 Conclusion•1分钟
Lesson 1.3 Introduction•1分钟
Mapping SQLite Errors•4分钟
execute_batch for Multi-Statement SQL•4分钟
Introduction to Transactions•6分钟
Lesson 1.3 Conclusion•1分钟
6篇阅读材料•总计60分钟
Key Terms•10分钟
Reflection•10分钟
Key Terms•10分钟
Reflection•10分钟
Key Terms•10分钟
Reflection•10分钟
1个作业•总计5分钟
SQLite Foundations•5分钟
Data Ingestion and Export
第 2 单元•小时 后完成
单元详情
Covers the csv crate + serde, bulk inserts, what we will build, csv::Reader::from_path, and deserialize::<MyRow>().
涵盖的内容
14个视频6篇阅读材料1个作业
显示有关单元内容的信息
14个视频•总计35分钟
Lesson 2.1 Introduction•1分钟
Parsing CSV Files in Rust•5分钟
Bulk Inserting CSV Rows•4分钟
Using Serde for Deserialization•4分钟
Lesson 2.1 Conclusion•1分钟
Lesson 2.2 Introduction•1分钟
Deserializing JSON Using Serde•5分钟
Inserting Serialized JSON Records•4分钟
Verifying and Exporting JSON•4分钟
Lesson 2.2 Conclusion•1分钟
Lesson 2.3 Introduction•1分钟
Dumping Database Contents•4分钟
Use SQLite3 for Backups•1分钟
Lesson 2.3 Conclusion•1分钟
6篇阅读材料•总计60分钟
Key Terms•10分钟
Reflection•10分钟
Key Terms•10分钟
Reflection•10分钟
Key Terms•10分钟
Reflection•10分钟
1个作业•总计5分钟
Data Ingestion and Export•5分钟
Building the CLI Project
第 3 单元•小时 后完成
单元详情
Covers what fscrawl will do, the layering, designing for testability, #[derive(Parser)], and subcommand enum.
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