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.

SQLite for Rust
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What you'll learn
Drive SQLite from Rust with rusqlite — connections, prepared statements, parameterized queries, and transaction-wrapped bulk inserts
Build typed CSV and JSON ingestion paths with the csv crate and serde_json, and round-trip data back out as exports or SQL dumps
Ship a clap v4 CLI (fscrawl) that walks a filesystem with walkdir, stores metadata in SQLite, and exposes crawl / query / export / db-dump
Skills you'll gain
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May 2026
3 assignments
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There are 3 modules in this course
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