How search engines think
Why SQL LIKE dies on 50 million rows, the inverted index from first principles, the text analysis pipeline and why index and query must share an analyzer, field types and the multi-field pattern, Elasticsearch shards, node roles and scatter-gather, the search service, and sizing the cluster.
01 · Previously
W07 · DAY 01 · Search Fundamentals & Architecture
From the problem to the structure.
Previously: why search is hard
Previously, in the Week 7 preview, you met the three problems of search: indexing, relevance and scale.
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