SQLite for Rust
Skills:
Systems Design Basics90%
Key Takeaways
Using SQLite with Rust for production-grade data tooling
Original Description
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.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Systems Design Basics
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Müşteri Değerini Anlamak: RFM, CLTV ve Tahmine Dayalı CRM Analitiği
Medium · Machine Learning
Müşteri Değerini Anlamak: RFM, CLTV ve Tahmine Dayalı CRM Analitiği
Medium · Data Science
Müşteri Değerini Anlamak: RFM, CLTV ve Tahmine Dayalı CRM Analitiği
Medium · Python
Surviving the Data Science Behavioral Interview
Towards Data Science
🎓
Tutor Explanation
DeepCamp AI