SELECT

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

SELECT has 35 facts recorded in Dontopedia across 8 references, with 5 live disagreements.

35 facts·18 predicates·8 sources·5 in dispute

Mostly:rdf:type(9), sql keyword(3), selects columns(3)

Inbound mentions (10)

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.

`contains`Contains(3)

Example Query 1ex:example-query-1
Sql Example 1ex:sql-example-1
Sql Select Exampleex:sql-select-example

`executesStatement`Executes Statement(2)

Cursorex:cursor
Read Db Items Functionex:read-db-items-function

`executesSelect`Executes Select(1)

Example Codeex:example-code

`executesSQL`Executes Sql(1)

Retrieve Documents Methodex:retrieve-documents-method

`inverse:filtersOn`Inverse:filters on(1)

Model Idex:model_id

`sqlStatement`Sql Statement(1)

Select Queryex:select-query

`wraps`Wraps(1)

Explain Statementex:explain-statement

Other facts (32)

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.

32 facts

Predicate	Value	Ref
Rdf:type	Sql Statement	[1]
Rdf:type	Sql Statement	[2]
Rdf:type	Sql Statement	[3]
Rdf:type	Sql Statement	[4]
Rdf:type	Dml Statement	[4]
Rdf:type	Sql Statement	[5]
Rdf:type	Sql Statement	[6]
Rdf:type	Sql Command	[7]
Rdf:type	Sql Statement	[8]
Sql Keyword	SELECT	[4]
Sql Keyword	FROM	[4]
Sql Keyword	WHERE	[4]
Selects Columns	Document Id Column	[8]
Selects Columns	Title Column	[8]
Selects Columns	Content Column	[8]
Selects All Columns	true	[2]
Selects All Columns	true	[4]
From Table	Versions Table	[4]
From Table	Documents Table	[8]
Filters by	Metadata Field	[1]
Uses F String	true	[1]
Returns All Rows	true	[2]
Binds Parameter	1	[4]
Has Where Clause	Model Id Filter	[4]
Retrieves From	Versions Table	[5]
Filter Condition	Model Id Equals 1	[5]
Benefits From	Idx Model Id	[5]
Scope	All Rows	[5]
Filters on	Model Id	[5]
Has Filter	Query Filter	[6]
Inverse of	From Clause	[7]
Has Condition	Document Id Equals 12345	[8]

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.

35 undated

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typebeam/2f0ff068-0aa7-4a79-ae4b-e2b570eb4068

ex:SQLStatement

—

filtersBybeam/2f0ff068-0aa7-4a79-ae4b-e2b570eb4068

ex:metadata_field

—

usesFStringbeam/2f0ff068-0aa7-4a79-ae4b-e2b570eb4068

true

—

typebeam/07d440df-2184-45d6-bb0a-b05a81a30b7e

ex:SQLStatement

—

selectsAllColumnsbeam/07d440df-2184-45d6-bb0a-b05a81a30b7e

true

—

returnsAllRowsbeam/07d440df-2184-45d6-bb0a-b05a81a30b7e

true

—

typebeam/48e187d6-4024-42ee-a500-b4f768dd7e80

ex:SQLStatement

—

labelbeam/48e187d6-4024-42ee-a500-b4f768dd7e80

select(Item) statement

—

typebeam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b

ex:SqlStatement

—

bindsParameterbeam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b

—

typebeam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b

ex:DmlStatement

—

selectsAllColumnsbeam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b

true

—

fromTablebeam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b

ex:versions-table

—

hasWhereClausebeam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b

ex:model_id-filter

—

sqlKeywordbeam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b

SELECT

—

sqlKeywordbeam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b

FROM

—

sqlKeywordbeam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b

WHERE

—

typebeam/57f508a6-cf50-41ae-8787-39c9218ac525

ex:SQLStatement

—

labelbeam/57f508a6-cf50-41ae-8787-39c9218ac525

SELECT

—

retrievesFrombeam/57f508a6-cf50-41ae-8787-39c9218ac525

ex:versions-table

—

filterConditionbeam/57f508a6-cf50-41ae-8787-39c9218ac525

ex:model_id-equals-1

—

benefitsFrombeam/57f508a6-cf50-41ae-8787-39c9218ac525

ex:idx_model_id

—

scopebeam/57f508a6-cf50-41ae-8787-39c9218ac525

ex:all-rows

—

filtersOnbeam/57f508a6-cf50-41ae-8787-39c9218ac525

ex:model_id

—

typebeam/bbc02def-1ef9-49af-9fce-f28930a99f2e

ex:SQLStatement

—

labelbeam/bbc02def-1ef9-49af-9fce-f28930a99f2e

SELECT * FROM documents

—

hasFilterbeam/bbc02def-1ef9-49af-9fce-f28930a99f2e

ex:query-filter

—

typebeam/49efd9e7-fa92-47e5-9460-88049aea0741

ex:SQL-Command

—

inverseOfbeam/49efd9e7-fa92-47e5-9460-88049aea0741

ex:from-clause

—

typebeam/15343e7d-963c-4ba5-b8e3-4849f280339c

ex:SQLStatement

—

selectsColumnsbeam/15343e7d-963c-4ba5-b8e3-4849f280339c

ex:document-id-column

—

selectsColumnsbeam/15343e7d-963c-4ba5-b8e3-4849f280339c

ex:title-column

—

selectsColumnsbeam/15343e7d-963c-4ba5-b8e3-4849f280339c

ex:content-column

—

fromTablebeam/15343e7d-963c-4ba5-b8e3-4849f280339c

ex:documents-table

—

hasConditionbeam/15343e7d-963c-4ba5-b8e3-4849f280339c

ex:document-id-equals-12345

References (8)

8 references

[1]2f0ff068 0aa7 4a79 Ae4b E2b570eb40683 facts
ctx:claims/beam/2f0ff068-0aa7-4a79-ae4b-e2b570eb4068
- full textbeam-chunk
  text/plain1 KBdoc:beam/2f0ff068-0aa7-4a79-ae4b-e2b570eb4068
  Show excerpt
  metadata4 TEXT, metadata5 TEXT, metadata6 TEXT, metadata7 TEXT, metadata8 TEXT, metadata9 TEXT, metadata10 TEXT ); …
[2]07d440df 2184 45d6 Bb0a B05a81a30b7e3 facts
ctx:claims/beam/07d440df-2184-45d6-bb0a-b05a81a30b7e
- full textbeam-chunk
  text/plain1 KBdoc:beam/07d440df-2184-45d6-bb0a-b05a81a30b7e
  Show excerpt
  [Turn 2447] Assistant: Yes, you can use a simple database like SQLite to track milestones and progress on your LLM provider evaluation. SQLite is a lightweight, file-based database that is easy to set up and use. Here's a complete example o…
[3]48e187d6 4024 42ee A500 B4f768dd7e802 facts
ctx:claims/beam/48e187d6-4024-42ee-a500-b4f768dd7e80
[4]4da5e6e6 6f55 4c0d B94f 19f0ca28767b9 facts
ctx:claims/beam/4da5e6e6-6f55-4c0d-b94f-19f0ca28767b
[5]57f508a6 Cf50 41ae 8787 39c9218ac5257 facts
ctx:claims/beam/57f508a6-cf50-41ae-8787-39c9218ac525
[6]Bbc02def 1ef9 49af 9fce F28930a99f2e3 facts
ctx:claims/beam/bbc02def-1ef9-49af-9fce-f28930a99f2e
- full textbeam-chunk
  text/plain1 KBdoc:beam/bbc02def-1ef9-49af-9fce-f28930a99f2e
  Show excerpt
  - **CPU**: Upgrade to a faster CPU if necessary. - **Memory**: Increase RAM to allow more data to be cached in memory. - **Disk I/O**: Use SSDs for faster read/write speeds. #### 6. Concurrency Management Manage concurrency to avoid conten…
[7]49efd9e7 Fa92 47e5 9460 88049aea07412 facts
ctx:claims/beam/49efd9e7-fa92-47e5-9460-88049aea0741
- full textbeam-chunk
  text/plain1 KBdoc:beam/49efd9e7-fa92-47e5-9460-88049aea0741
  Show 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…
[8]15343e7d 963c 4ba5 B8e3 4849f280339c6 facts
ctx:claims/beam/15343e7d-963c-4ba5-b8e3-4849f280339c
- full textbeam-chunk
  text/plain1 KBdoc:beam/15343e7d-963c-4ba5-b8e3-4849f280339c
  Show 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…

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SELECT

Inbound mentions (10)

containsContains(3)

executesStatementExecutes Statement(2)

executesSelectExecutes Select(1)

executesSQLExecutes Sql(1)

inverse:filtersOnInverse:filters on(1)

sqlStatementSql Statement(1)

wrapsWraps(1)

Other facts (32)

Timeline

References (8)

See also

Keep researching

`contains`Contains(3)

`executesStatement`Executes Statement(2)

`executesSelect`Executes Select(1)

`executesSQL`Executes Sql(1)

`inverse:filtersOn`Inverse:filters on(1)

`sqlStatement`Sql Statement(1)

`wraps`Wraps(1)