WHERE clause
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
WHERE clause has 21 facts recorded in Dontopedia across 7 references, with 2 live disagreements.
21 facts·13 predicates·7 sources·2 in dispute
Mostly:rdf:type(7), filters on(1), uses operator(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (11)
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.
usedInUsed in(2)
- Created at Column
ex:created-at-column - Similarity Operator
ex:similarity-operator
connectsConnects(1)
- And Operator
ex:and-operator
containsContains(1)
- Example Query 1
ex:example-query-1
containsClauseContains Clause(1)
- Sql Query Example
ex:sql-query-example
ex:containsClauseEx:contains Clause(1)
- Query1
ex:query1
isPartOfIs Part of(1)
- Column Equality
ex:column-equality
optimizesOptimizes(1)
- Indexing
ex:indexing
recommendedForRecommended for(1)
- Frequently Queried Columns
ex:frequently-queried-columns
usedInWhereClauseUsed in Where Clause(1)
- Test Id Column
ex:test-id-column
usesUses(1)
- Sql Select Example
ex:sql-select-example
Other facts (19)
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.
19 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Query Filter | [1] |
| Rdf:type | Sql Clause | [2] |
| Rdf:type | Sql Clause | [3] |
| Rdf:type | Sql Clause | [4] |
| Rdf:type | Sql Clause | [5] |
| Rdf:type | Sql Clause | [6] |
| Rdf:type | Sql Clause | [7] |
| Filters on | vector | [1] |
| Uses Operator | similar | [1] |
| Passes Argument | [0.1, 0.2, 0.3] | [1] |
| Uses | Created at Column | [2] |
| Should Be Indexed | Created at Column | [2] |
| Is Target of | Indexing | [2] |
| Filters | Row | [2] |
| Related to | Indexing | [3] |
| Requires Index | Indexing | [3] |
| Inverse of | Filters by Document Id | [4] |
| Purpose | Data Filtering | [5] |
| Contains Condition | Column Equality | [7] |
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.
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typebeam/7930b608-9757-4a86-9aa2-c6ca10571913
ex:QueryFilter
—
filtersOnbeam/7930b608-9757-4a86-9aa2-c6ca10571913
vector
—
usesOperatorbeam/7930b608-9757-4a86-9aa2-c6ca10571913
similar
—
passesArgumentbeam/7930b608-9757-4a86-9aa2-c6ca10571913
[0.1, 0.2, 0.3]
—
typebeam/1faa34af-f0a8-41ca-a40a-c9d71a0940c6
ex:SQLClause
—
usesbeam/1faa34af-f0a8-41ca-a40a-c9d71a0940c6
ex:created-at-column
—
shouldBeIndexedbeam/1faa34af-f0a8-41ca-a40a-c9d71a0940c6
ex:created-at-column
—
isTargetOfbeam/1faa34af-f0a8-41ca-a40a-c9d71a0940c6
ex:indexing
—
filtersbeam/1faa34af-f0a8-41ca-a40a-c9d71a0940c6
ex:row
—
typebeam/44d878f6-07f2-4d70-9c7a-1ca87e734f1f
ex:SQLClause
—
labelbeam/44d878f6-07f2-4d70-9c7a-1ca87e734f1f
WHERE clause
—
relatedTobeam/44d878f6-07f2-4d70-9c7a-1ca87e734f1f
ex:indexing
—
requiresIndexbeam/44d878f6-07f2-4d70-9c7a-1ca87e734f1f
ex:indexing
—
typebeam/49efd9e7-fa92-47e5-9460-88049aea0741
ex:SQL-Clause
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inverseOfbeam/49efd9e7-fa92-47e5-9460-88049aea0741
ex:filters-by-document-id
—
typebeam/15343e7d-963c-4ba5-b8e3-4849f280339c
ex:SQLClause
—
purposebeam/15343e7d-963c-4ba5-b8e3-4849f280339c
ex:data-filtering
—
typebeam/bf8dc597-f5a2-4f00-9aec-7fc5ea5c72fb
ex:SQLClause
—
typebeam/ea0e817a-1408-493e-bbcf-6f0c90a888ee
ex:SQLClause
—
labelbeam/ea0e817a-1408-493e-bbcf-6f0c90a888ee
WHERE condition
—
containsConditionbeam/ea0e817a-1408-493e-bbcf-6f0c90a888ee
ex:column-equality
References (7)
7 references
ctx:claims/beam/7930b608-9757-4a86-9aa2-c6ca10571913- full textbeam-chunktext/plain1 KB
doc:beam/7930b608-9757-4a86-9aa2-c6ca10571913Show excerpt
self.name = name self.vector = vector # Add some test data test_data = [ TestData("Test 1", [0.1, 0.2, 0.3]), TestData("Test 2", [0.4, 0.5, 0.6]), ] # Upload the test data to Weaviate for data in test_data: cli…
ctx:claims/beam/1faa34af-f0a8-41ca-a40a-c9d71a0940c6- full textbeam-chunktext/plain1 KB
doc:beam/1faa34af-f0a8-41ca-a40a-c9d71a0940c6Show excerpt
Can someone help me optimize this query to reduce latency? ->-> 6,8 [Turn 8915] Assistant: Optimizing database queries is a great way to reduce latency and improve the overall performance of your feedback processing system. Here are severa…
ctx:claims/beam/44d878f6-07f2-4d70-9c7a-1ca87e734f1fctx:claims/beam/49efd9e7-fa92-47e5-9460-88049aea0741- full textbeam-chunktext/plain1 KB
doc:beam/49efd9e7-fa92-47e5-9460-88049aea0741Show excerpt
By following these steps, you can effectively use Redis to cache your documentation data, thereby reducing the latency of your retrieval system. [Turn 9710] User: I'm working on optimizing the performance of my documentation retrieval syst…
ctx:claims/beam/15343e7d-963c-4ba5-b8e3-4849f280339c- full textbeam-chunktext/plain1 KB
doc:beam/15343e7d-963c-4ba5-b8e3-4849f280339cShow excerpt
#### Query Optimization 1. **Select Specific Columns**: Avoid using `SELECT *` and explicitly list the columns you need. ```sql SELECT document_id, title, content FROM documents WHERE document_id = 12345; ``` 2. **Analyze Que…
ctx:claims/beam/bf8dc597-f5a2-4f00-9aec-7fc5ea5c72fbctx:claims/beam/ea0e817a-1408-493e-bbcf-6f0c90a888ee- full textbeam-chunktext/plain1 KB
doc:beam/ea0e817a-1408-493e-bbcf-6f0c90a888eeShow excerpt
# Example usage: rewriter = QueryRewriter() query = "SELECT * FROM table WHERE condition AND column = value" rewritten_query = rewriter.rewrite_query(query) print(f"Rewritten Query: {rewritten_query}") ``` ### Explanation 1. **Keyword Sub…
See also
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