tag: b-tree
articles: 2 · beats: 1
latest: September 1, 2026
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B Tree
2 Crashtech articles on B Tree, filed under System Design, published in September 2026. Every piece is full-text HTML with sources, structured data and an authored FAQ.
All 2 sit in the System Design beat. System Design
Database Indexing Explained: Which Index Type Actually Fits Your Query
B-tree, hash, composite, and covering indexes each solve a different query shape. Pick the wrong one and you pay index overhead without the speedup.
What Actually Happens Inside a Database Index: The Data Structures
An index trades disk I/O for lookup speed. Here's how B-trees, hash tables, and bitmap indexes each make that trade differently.
Questions we answer about B Tree
- Why does a database need an index at all — why can't it just scan the table?
- When is a hash index better than a B-tree index?
- What is a composite index and why does column order matter?
- What's a covering index and why is it faster than a normal index?
- What's the real cost of adding an index, beyond disk space?
- Why does an index's internal data structure matter if it all ends up 'faster than a scan'?
- Why is disk I/O the thing index structures are actually optimizing for?
- Why can't a hash index handle range queries?
- What makes a bitmap index different from a B-tree, and when is it better?
- Why do B-trees stay balanced automatically as data is inserted?
Covered alongside
Frequently asked questions
What does Crashtech publish about B Tree?
2 articles tagged B Tree, the most recent published September 1, 2026. All 2 sit in the System Design beat. Each carries numbered sources, an authored FAQ and full structured data.
What questions about B Tree does Crashtech answer directly?
10 questions have a dedicated answer page under this tag, including “Why does a database need an index at all — why can't it just scan the table?”. Each answer is authored prose from the article it belongs to, not a generated summary.
Can AI assistants read Crashtech's B Tree coverage?
Yes. Crashtech serves full static HTML to every crawler, allows all major AI user agents in robots.txt, and publishes an llms.txt manifest plus a full-text corpus, so assistants can retrieve and cite these articles directly.