document_id

as donto believed on

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

document_id has 21 facts recorded in Dontopedia across 8 references, with 3 live disagreements.

21 facts·7 predicates·8 sources·3 in dispute

Mostly:rdf:type(8), has index(3), is indexed by(3)

Inbound mentions (31)

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.

`appliedTo`Applied to(3)

Composite Indexex:composite-index
Covering Indexex:covering-index
Non Unique Indexex:non-unique-index

`filtersBy`Filters by(3)

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

`hasColumn`Has Column(3)

Documents Tableex:documents-table
Documents Tableex:documents-table
Documents Tableex:documents-table

`specifiesColumns`Specifies Columns(3)

Composite Index Sqlex:composite-index-sql
Covering Index Sqlex:covering-index-sql
Non Unique Index Sqlex:non-unique-index-sql

`comparesColumn`Compares Column(2)

Document Id Equals 12345ex:document-id-equals-12345
Document Id Equals 12345ex:document-id-equals-12345

`includesColumns`Includes Columns(2)

Composite Indexex:composite-index
Covering Indexex:covering-index

`onColumns`On Columns(2)

Idx Compositeex:idx-composite
Idx Coveringex:idx-covering

`selectsColumns`Selects Columns(2)

Example Queryex:example-query
Select Statementex:select-statement

`coversColumns`Covers Columns(1)

Covering Indexex:covering-index

`ex:appliedToColumn`Ex:applied to Column(1)

Idx Document Id Indexex:idx-document-id-index

`ex:hasColumn`Ex:has Column(1)

Documents Tableex:documents-table

`ex:hasPrimaryKey`Ex:has Primary Key(1)

Documents Tableex:documents-table

`includes`Includes(1)

Relevant Columnsex:relevant-columns

`includesColumn`Includes Column(1)

Covering Indexex:covering-index

`onColumn`On Column(1)

Idx Document Id Indexex:idx-document-id-index

`returnsColumns`Returns Columns(1)

Select Queryex:select-query

`targetedColumn`Targeted Column(1)

Indexes on Document Idex:indexes-on-document-id

`targetsColumn`Targets Column(1)

Query Exampleex:query-example

`wasPerformedOn`Was Performed on(1)

Index Attemptex:index-attempt

Other facts (18)

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.

18 facts

Predicate	Value	Ref
Rdf:type	Database Column	[1]
Rdf:type	Database Column	[2]
Rdf:type	Database Column	[3]
Rdf:type	Database Column	[4]
Rdf:type	Database Column	[5]
Rdf:type	Database Column	[6]
Rdf:type	Database Column	[7]
Rdf:type	Database Column	[8]
Has Index	Non Unique Index	[8]
Has Index	Covering Index	[8]
Has Index	Composite Index	[8]
Is Indexed by	Non Unique Index	[8]
Is Indexed by	Covering Index	[8]
Is Indexed by	Composite Index	[8]
Is Indexed	true	[1]
Ex:table Name	documents	[3]
Ex:data Type	integer	[3]
Has Data Type	INT	[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.

21 undated

—

typebeam/4e72ca5c-2e1b-4484-8048-ed3e1598d35b

ex:DatabaseColumn

—

isIndexedbeam/4e72ca5c-2e1b-4484-8048-ed3e1598d35b

true

—

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

ex:DatabaseColumn

—

typebeam/d85391fa-21af-437e-8a7d-ba7bbd862695

ex:DatabaseColumn

—

tableNamebeam/d85391fa-21af-437e-8a7d-ba7bbd862695

documents

—

dataTypebeam/d85391fa-21af-437e-8a7d-ba7bbd862695

integer

—

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

ex:Database-Column

—

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

document_id

—

typebeam/80acad74-9ace-47e5-af3f-3272629f2c65

ex:DatabaseColumn

—

typebeam/cb1056c3-1ada-4dc2-81fc-efd623a7eb64

ex:DatabaseColumn

—

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

ex:DatabaseColumn

—

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

document_id

—

typebeam/92543d72-590a-4046-bfef-11efb61dbbf5

ex:DatabaseColumn

—

labelbeam/92543d72-590a-4046-bfef-11efb61dbbf5

document_id

—

hasDataTypebeam/92543d72-590a-4046-bfef-11efb61dbbf5

INT

—

hasIndexbeam/92543d72-590a-4046-bfef-11efb61dbbf5

ex:non-unique-index

—

hasIndexbeam/92543d72-590a-4046-bfef-11efb61dbbf5

ex:covering-index

—

hasIndexbeam/92543d72-590a-4046-bfef-11efb61dbbf5

ex:composite-index

—

isIndexedBybeam/92543d72-590a-4046-bfef-11efb61dbbf5

ex:non-unique-index

—

isIndexedBybeam/92543d72-590a-4046-bfef-11efb61dbbf5

ex:covering-index

—

isIndexedBybeam/92543d72-590a-4046-bfef-11efb61dbbf5

ex:composite-index

References (8)

8 references

[1]4e72ca5c 2e1b 4484 8048 Ed3e1598d35b2 facts
ctx:claims/beam/4e72ca5c-2e1b-4484-8048-ed3e1598d35b
- full textbeam-chunk
  text/plain1 KBdoc:beam/4e72ca5c-2e1b-4484-8048-ed3e1598d35b
  Show excerpt
  By following these steps, you can ensure that your encryption keys are securely managed and stored, providing an additional layer of security for your process records. [Turn 9704] User: I'm working on reducing the latency of my documentati…
[2]Bbc02def 1ef9 49af 9fce F28930a99f2e1 fact
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…
[3]D85391fa 21af 437e 8a7d Ba7bbd8626953 facts
ctx:claims/beam/d85391fa-21af-437e-8a7d-ba7bbd862695
- full textbeam-chunk
  text/plain1 KBdoc:beam/d85391fa-21af-437e-8a7d-ba7bbd862695
  Show excerpt
  EXPLAIN SELECT * FROM documents WHERE document_id = 12345; ``` The output will show you the execution plan, including whether an index is being used and how many rows are being examined. ### Step 2: Ensure Proper Indexing Based on the `E…
[4]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…
[5]80acad74 9ace 47e5 Af3f 3272629f2c651 fact
ctx:claims/beam/80acad74-9ace-47e5-af3f-3272629f2c65
- full textbeam-chunk
  text/plain1 KBdoc:beam/80acad74-9ace-47e5-af3f-3272629f2c65
  Show excerpt
  Sometimes, rewriting the query can help MySQL use the index more effectively. Here are a few tips: 1. **Avoid Wildcard Selects**: Instead of selecting all columns (`*`), specify only the columns you need. This can reduce the amount of d…
[6]Cb1056c3 1ada 4dc2 81fc Efd623a7eb641 fact
ctx:claims/beam/cb1056c3-1ada-4dc2-81fc-efd623a7eb64
[7]15343e7d 963c 4ba5 B8e3 4849f280339c2 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…
[8]92543d72 590a 4046 Bfef 11efb61dbbf59 facts
ctx:claims/beam/92543d72-590a-4046-bfef-11efb61dbbf5
- full textbeam-chunk
  text/plain1 KBdoc:beam/92543d72-590a-4046-bfef-11efb61dbbf5
  Show excerpt
  CREATE INDEX idx_covering ON documents(document_id, title, content); ``` 3. **Primary Key or Unique Identifier**: Ensure that your table has a unique identifier, such as an auto-incrementing primary key, to uniquely identify each …

Keep researching

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document_id

Inbound mentions (31)

appliedToApplied to(3)

filtersByFilters by(3)

hasColumnHas Column(3)

specifiesColumnsSpecifies Columns(3)

comparesColumnCompares Column(2)

includesColumnsIncludes Columns(2)

onColumnsOn Columns(2)

selectsColumnsSelects Columns(2)

coversColumnsCovers Columns(1)

ex:appliedToColumnEx:applied to Column(1)

ex:hasColumnEx:has Column(1)

ex:hasPrimaryKeyEx:has Primary Key(1)

includesIncludes(1)

includesColumnIncludes Column(1)

onColumnOn Column(1)

returnsColumnsReturns Columns(1)

targetedColumnTargeted Column(1)

targetsColumnTargets Column(1)

wasPerformedOnWas Performed on(1)

Other facts (18)

Timeline

References (8)

See also

Keep researching

`appliedTo`Applied to(3)

`filtersBy`Filters by(3)

`hasColumn`Has Column(3)

`specifiesColumns`Specifies Columns(3)

`comparesColumn`Compares Column(2)

`includesColumns`Includes Columns(2)

`onColumns`On Columns(2)

`selectsColumns`Selects Columns(2)

`coversColumns`Covers Columns(1)

`ex:appliedToColumn`Ex:applied to Column(1)

`ex:hasColumn`Ex:has Column(1)

`ex:hasPrimaryKey`Ex:has Primary Key(1)

`includes`Includes(1)

`includesColumn`Includes Column(1)

`onColumn`On Column(1)

`returnsColumns`Returns Columns(1)

`targetedColumn`Targeted Column(1)

`targetsColumn`Targets Column(1)

`wasPerformedOn`Was Performed on(1)