term queries
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
term queries has 16 facts recorded in Dontopedia across 5 references, with 3 live disagreements.
Mostly:rdf:type(4), used for(3), inverse of(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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.
includesIncludes(2)
- Rich Query Capabilities
ex:rich-query-capabilities - Wide Range of Queries
ex:wide-range-of-queries
introducesConceptIntroduces Concept(1)
- Efficient Query Types Section
ex:efficient-query-types-section
recommendsRecommends(1)
- Efficient Queries
ex:efficient-queries
supportedBySupported by(1)
- Exact Matches
ex:exact-matches
Other facts (13)
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 |
|---|---|---|
| Rdf:type | Query Type | [1] |
| Rdf:type | Elasticsearch Query Type | [2] |
| Rdf:type | Query Type | [3] |
| Rdf:type | Query Type | [4] |
| Used for | Exact Matches | [4] |
| Used for | Exact Field Matches | [4] |
| Used for | Exact Matches | [5] |
| Inverse of | Match Queries | [3] |
| Inverse of | Match Queries | [4] |
| Is Example of | cacheable-conditions | [2] |
| Used in | Efficient Query Types Section | [3] |
| Type of | Efficient Queries | [4] |
| Compared to | Match Queries | [5] |
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 (5)
ctx:claims/beam/b4c55ddb-13cb-4503-a289-096d54f97665- full textbeam-chunktext/plain1 KB
doc:beam/b4c55ddb-13cb-4503-a289-096d54f97665Show excerpt
[Turn 1299] Assistant: Using Elasticsearch 8.7.0 for your search modules can be a powerful choice given its robust capabilities for handling large volumes of data and providing fast query responses. However, there are several factors to con…
ctx:claims/beam/0a897c70-56d8-4e88-b17d-18d28ded0319- full textbeam-chunktext/plain1 KB
doc:beam/0a897c70-56d8-4e88-b17d-18d28ded0319Show excerpt
I'm seeing an average latency of 200ms, which seems a bit high ->-> 6,12 [Turn 5145] Assistant: Certainly! Reducing query latency in Elasticsearch involves several strategies, including optimizing your query, tuning your index settings, an…
ctx:claims/beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86- full textbeam-chunktext/plain1 KB
doc:beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86Show excerpt
Ensure your queries are optimized for performance. 1. **Use Efficient Query Types**: Prefer `term` and `terms` queries over `match` and `match_phrase` queries when possible. ```json { "query": { "bool": { "mu…
ctx:claims/beam/42b4227b-c91f-4273-a520-4a8f64d8a85dctx:claims/beam/9b8f6129-279b-4ba5-b802-69921d2c1ae5- full textbeam-chunktext/plain1 KB
doc:beam/9b8f6129-279b-4ba5-b802-69921d2c1ae5Show excerpt
- **Replicas**: Use replicas to improve read performance and availability. Typically, 1 replica is sufficient, but you can adjust based on your needs. ### 2. **Data Distribution and Routing** - **Index Settings**: Configure index settin…
See also
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