Indexing data
When you add data to Elasticsearch, it is analyzed (parsed, normalized, and enriched), and stored into an inverted index.
The inverted index is a data structure designed for fast full-text searches. It keeps track of all unique words and in which documents each word appears.
It's called inverted because it inverts a document-centric data structure (document -> words) to a keyword-centric data structure (word -> documents).
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Performance
- Fast full-text search - Because it's built on top of Lucene
- Near real-time indexing - It takes under 1s for newly indexed documents to show up in searches
- High performance & Fault tolerance - Each index is split into shards, ...
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