CouchDB Mango Indexes: Making _find Fast Without Writing a MapReduce View
Mango JSON selectors are convenient, but unindexed queries scan every document. Declare matching indexes, verify plans with _explain, and use MapReduce views when needed.
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Mango JSON selectors are convenient, but unindexed queries scan every document. Declare matching indexes, verify plans with _explain, and use MapReduce views when needed.
Composite property indexes can collapse multi-attribute graph queries into a single index seek, but only when property order matches your query patterns. Here is how to decide when they help and what they cost.
Stop using slow CONTAINS queries in Neo4j. Learn how to implement full-text indexes, choose the right analyzer for your language, and validate search relevance using Lucene scoring.
Mango lets you query CouchDB with JSON selectors instead of JavaScript map functions. Learn how indexes are created, how to verify they are used, and the write and disk trade-offs to plan for.
Learn how to replace inefficient Primary Indexes in Couchbase with Global Secondary Indexes and Covering Indexes to eliminate data fetches and reduce query latency.
Stop relying on Primary Scans in Couchbase. Learn how Global Secondary Indexes (GSI) and Covering Indexes eliminate full bucket scans and reduce data fetch latency.