elasticsearch performance metrics

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Elasticsearch Performance Optimization _elasticsearch

1. Million-scale ES query optimization of the actual combat can use the filter without query filter to get the corresponding doc does not calculate score do not have to sort query to match the conditions of the DOC calculation score and sorting filter speed is much faster than query 2. Add related cache configuration indices.cache.filter.size:30% indices.fielddata.cache.size:60% Index.cache.field.type:soft indices.breaker.fielddata.limit:70% 3. Optimization scheme--summary can use filter without

[Elasticsearch] adjacent match (3)-performance, associated word query and Shingles

[Elasticsearch] adjacent match (3)-performance, associated word query and ShinglesImprove Performance Phrase and closeness queries are more expensive than simple match queries. The match query only checks whether the entry exists in the Inverted Index, while the match_phrase Query Needs to calculate and compare Multiple possible duplicate entries (Multiple possib

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