Tutorial #

A hands-on path from zero to the features that make Pizza different. Every lesson runs against the deterministic teaching dataset, and every query in it is live — press the button, see real results.

The lessons #

1. First search — start the node, index documents, run your first queries, watch them update in real time.
2. Text search — term vs match, phrases, fuzzy, wildcard, regexp; how analyzers shape what matches.
3. Structure and numbers — ranges, sorts, pagination with cursors, and the field-type system behind them.
4. Aggregations — metrics, buckets, histograms, composite paging; known answers every step of the way.
5. Relations and hybrid — graph traversal across related_to edges, joins, then the explicit retrieve→fuse pipeline.
6. Operations — partial updates in place, compaction, the change feed, and reading cluster health.

Start with Lesson 1 — first search, or pick the topic you need. For the full query vocabulary while you work through the lessons, see the search reference and the aggregation reference.