search query body
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
search query body has 25 facts recorded in Dontopedia across 10 references, with 4 live disagreements.
25 facts·8 predicates·10 sources·4 in dispute
Mostly:rdf:type(8), contains(5), contains key(4)
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.
createsCreates(1)
- Search Function
ex:search-function
hasBodyHas Body(1)
- Search Operation
ex:search-operation
hasParameterHas Parameter(1)
- Index Search
ex:index-search
hasSimilarStructureHas Similar Structure(1)
- Document Body
ex:document-body
specifiesBodySpecifies Body(1)
- Search Operation
ex:search-operation
Other facts (24)
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.
24 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Json Object | [1] |
| Rdf:type | Json Object | [2] |
| Rdf:type | Dictionary | [3] |
| Rdf:type | Dictionary | [4] |
| Rdf:type | Json Object | [5] |
| Rdf:type | Elasticsearch Query Body | [6] |
| Rdf:type | Request Body | [7] |
| Rdf:type | Json Body | [10] |
| Contains | Query Key | [5] |
| Contains | Profile Parameter | [7] |
| Contains | Query Object | [7] |
| Contains | Query Clause | [8] |
| Contains | Query Clause | [10] |
| Contains Key | query | [1] |
| Contains Key | query | [2] |
| Contains Key | Query Key | [3] |
| Contains Key | Query Key | [4] |
| Contains Query | Example Query | [1] |
| Contains Query | Match Query | [4] |
| Contains Query | Match Query | [6] |
| Has Value for Key | example query | [1] |
| Has Query Field | example query | [1] |
| Is Used by | Index Search | [1] |
| Contains Field | Query Field | [9] |
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.
—
typebeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
ex:JSONObject
—
containsKeybeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
query
—
hasValueForKeybeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
example query
—
hasQueryFieldbeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
example query
—
isUsedBybeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
ex:index-search
—
containsQuerybeam/837f35de-3ee9-47a5-a635-98cff17d7ea2
ex:example-query
—
typebeam/a05000bc-fd30-411d-858b-b88f9fb99f11
ex:JSONObject
—
containsKeybeam/a05000bc-fd30-411d-858b-b88f9fb99f11
query
—
typebeam/b5d9ecaf-e81d-404e-b6ba-4ff3bc636acc
ex:Dictionary
—
containsKeybeam/b5d9ecaf-e81d-404e-b6ba-4ff3bc636acc
ex:query-key
—
typebeam/21515cc8-a152-4441-9529-eb4062fb2226
ex:Dictionary
—
labelbeam/21515cc8-a152-4441-9529-eb4062fb2226
search query body
—
containsQuerybeam/21515cc8-a152-4441-9529-eb4062fb2226
ex:match-query
—
containsKeybeam/21515cc8-a152-4441-9529-eb4062fb2226
ex:query-key
—
typebeam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6
ex:JSONObject
—
containsbeam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6
ex:query-key
—
typebeam/672cf015-446d-49a6-b5ee-7906dd435167
ex:ElasticsearchQueryBody
—
containsQuerybeam/672cf015-446d-49a6-b5ee-7906dd435167
ex:match-query
—
typebeam/32482dcb-f293-412a-8ea0-a9dfc518165e
ex:RequestBody
—
containsbeam/32482dcb-f293-412a-8ea0-a9dfc518165e
ex:profile-parameter
—
containsbeam/32482dcb-f293-412a-8ea0-a9dfc518165e
ex:query-object
—
containsbeam/3b6c342c-d063-4158-bc0a-b84634edf7e8
ex:query-clause
—
containsFieldbeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
ex:query-field
—
typebeam/62171ea6-f631-42b8-b78f-479918cb2be6
ex:JSONBody
—
containsbeam/62171ea6-f631-42b8-b78f-479918cb2be6
ex:query-clause
References (10)
10 references
ctx:claims/beam/837f35de-3ee9-47a5-a635-98cff17d7ea2- full textbeam-chunktext/plain836 B
doc:beam/837f35de-3ee9-47a5-a635-98cff17d7ea2Show excerpt
[Turn 1298] User: I'm trying to build a system to support 3 distinct search modules, each handling 20,000 queries daily with under 250ms latency. I'm considering using Elasticsearch 8.7.0 for sparse retrieval, but I'm not sure if it's the r…
ctx:claims/beam/a05000bc-fd30-411d-858b-b88f9fb99f11- full textbeam-chunktext/plain1 KB
doc:beam/a05000bc-fd30-411d-858b-b88f9fb99f11Show excerpt
enabled = yes hosts = google.com, 8.8.8.8 ``` 2. **Restart Netdata**: ```sh sudo systemctl restart netdata ``` ### Step 6: View Network Latency Metrics After configuring the `ping` module, you can view network latency m…
ctx:claims/beam/b5d9ecaf-e81d-404e-b6ba-4ff3bc636accctx:claims/beam/21515cc8-a152-4441-9529-eb4062fb2226ctx:claims/beam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6- full textbeam-chunktext/plain1 KB
doc:beam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6Show excerpt
} }) # Bulk index some data documents = [ {'_index': index_name, '_source': {'text': 'This is some example text'}}, {'_index': index_name, '_source': {'text': 'Another example text'}}, {'_index': index_name, '_source': {'te…
ctx:claims/beam/672cf015-446d-49a6-b5ee-7906dd435167- full textbeam-chunktext/plain976 B
doc:beam/672cf015-446d-49a6-b5ee-7906dd435167Show excerpt
'settings': { 'index.refresh_interval': '30s', 'number_of_shards': 1, 'number_of_replicas': 0, 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'cu…
ctx:claims/beam/32482dcb-f293-412a-8ea0-a9dfc518165e- full textbeam-chunktext/plain1 KB
doc:beam/32482dcb-f293-412a-8ea0-a9dfc518165eShow excerpt
'track_total_hits': True # Enable total hits tracking }) print(response['hits']['total']['value']) # Output: 1 ``` #### 4. Hardware and Resource Allocation - **Ensure Sufficient Resources**: Allocate enough CPU, memory, and disk spa…
ctx:claims/beam/3b6c342c-d063-4158-bc0a-b84634edf7e8- full textbeam-chunktext/plain1 KB
doc:beam/3b6c342c-d063-4158-bc0a-b84634edf7e8Show excerpt
# Rewrite the query using the first synonym query['term'] = synonyms[0] return query # Example usage: query = {'term': 'hello'} rewritten_query = rewrite_query(query) print(rewritten_query) # Output: {'term': 'hi'} # …
ctx:claims/beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0- full textbeam-chunktext/plain1 KB
doc:beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0Show excerpt
'settings': { 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom', 'tokenizer': 'standard', 'filter': ['synonym_filter'] …
ctx:claims/beam/62171ea6-f631-42b8-b78f-479918cb2be6
See also
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