Use Efficient Query Types
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Use Efficient Query Types has 11 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Mostly:recommends(3), discourages(2), compares query types(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
containsPracticeContains Practice(1)
- Best Practices Section
ex:best-practices-section
demonstratesDemonstrates(1)
- Search Query Example
ex:search-query-example
followsFollows(1)
- Search Query Example
ex:search-query-example
hasAdviceHas Advice(1)
- Query Optimization
ex:query-optimization
hasSubAdviceHas Sub Advice(1)
- Query Optimization
ex:query-optimization
illustratesIllustrates(1)
- Search Query Example
ex:search-query-example
Other facts (11)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Recommends | term and terms queries | [1] |
| Recommends | bool queries | [1] |
| Recommends | Match Query | [2] |
| Discourages | match and multi_match queries | [1] |
| Discourages | Match Phrase Query | [2] |
| Compares Query Types | term/terms vs match/multi_match | [1] |
| Provides Guidance | query selection | [1] |
| Addresses | query efficiency | [1] |
| Includes | query type selection | [1] |
| Achieves | Performance Improvement | [2] |
| Comparison | match vs match_phrase | [2] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (2)
ctx:claims/beam/6977f5b8-a0d9-4926-b326-5bab073761a8- full textbeam-chunktext/plain1 KB
doc:beam/6977f5b8-a0d9-4926-b326-5bab073761a8Show excerpt
When searching, you can leverage the enriched data to improve relevance. ```json GET /my_index/_search { "query": { "bool": { "should": [ { "match": { "normalized_text": "sample" } …
ctx:claims/beam/06b4c25a-1508-496d-a7cb-ac62d70720b0- full textbeam-chunktext/plain1 KB
doc:beam/06b4c25a-1508-496d-a7cb-ac62d70720b0Show excerpt
'index.refresh_interval': '30s', 'number_of_shards': 1, 'number_of_replicas': 0, 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom', …
See also
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