Cheatsheets:SPARQL: Difference between revisions
Show, don't tell: real verified Wikidata queries for every construct (dogs/cats, populations, Nobel laureates, Einstein vs Obama) (via update-page on MediaWiki MCP Server) |
Fix: running-example table delimiters; keep inline syntaxhighlight mid-line (line-start tags render as block pre) (via update-page on MediaWiki MCP Server) |
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== Running example == | == Running example == | ||
How many dogs and cats are in Wikidata? | How many dogs and cats are in Wikidata? | ||
<syntaxhighlight lang="sparql"> | <syntaxhighlight lang="sparql"> | ||
| Line 23: | Line 23: | ||
</syntaxhighlight> | </syntaxhighlight> | ||
| | {| class="wikitable" | ||
! Animal !! Count | |||
|- | |||
| dog || 553 | | dog || 553 | ||
|- | |- | ||
| cat || 239 | | cat || 239 | ||
|} | |||
== Query forms == | == Query forms == | ||
| Line 54: | Line 57: | ||
A triple pattern is <syntaxhighlight lang="sparql" inline>subject predicate object .</syntaxhighlight> — | A triple pattern is <syntaxhighlight lang="sparql" inline>subject predicate object .</syntaxhighlight> — | ||
each part may be a variable | each part may be a variable, an IRI, or a literal. | ||
<syntaxhighlight lang="sparql"> | <syntaxhighlight lang="sparql"> | ||
| Line 77: | Line 79: | ||
| DISTINCT || drop duplicate rows | | DISTINCT || drop duplicate rows | ||
|- | |- | ||
| ORDER BY || sort ( | | ORDER BY || sort (ASC(?) / DESC(?)) | ||
|- | |- | ||
| LIMIT n || at most n rows | | LIMIT n || at most n rows | ||
| Line 104: | Line 106: | ||
! Category !! Operators / functions | ! Category !! Operators / functions | ||
|- | |- | ||
| comparison || | | comparison || = < > <= >= != | ||
|- | |- | ||
| logical || | | logical || && || ! | ||
|- | |- | ||
| string || | | string || STR() CONTAINS() STRSTARTS() REGEX() | ||
|- | |- | ||
| numeric || | | numeric || ABS() ROUND() FLOOR() CEIL() | ||
|- | |- | ||
| date/time || | | date/time || YEAR() MONTH() DAY() NOW() | ||
|- | |- | ||
| term tests || | | term tests || isIRI() isBlank() isLiteral() LANG() DATATYPE() | ||
|} | |} | ||
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== OPTIONAL, UNION, MINUS == | == OPTIONAL, UNION, MINUS == | ||
{| class="wikitable" | |||
! Keyword !! Meaning | |||
|- | |||
| OPTIONAL || left join: keep the row, leave the variable unbound when absent | |||
|- | |||
| UNION || alternatives (the default between patterns is AND, not OR) | |||
|- | |||
| MINUS || remove rows that match the pattern | |||
|} | |||
<syntaxhighlight lang="sparql"> | <syntaxhighlight lang="sparql"> | ||
| Line 181: | Line 189: | ||
! Path !! Meaning | ! Path !! Meaning | ||
|- | |- | ||
| | | wdt:P40/wdt:P40 || two hops (sequence) | ||
|- | |- | ||
| | | wdt:P40+ || one or more hops | ||
|- | |- | ||
| | | wdt:P40* || zero or more hops | ||
|- | |- | ||
| | | wdt:P40? || zero or one hop | ||
|- | |- | ||
| | | wdt:P40|wdt:P41 || either property | ||
|- | |- | ||
| | | ^wdt:P40 || inverse direction | ||
|- | |- | ||
| | | !wdt:P40 || any property except P40 | ||
|} | |} | ||
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* Blank-node labels (<syntaxhighlight lang="sparql" inline>_:x</syntaxhighlight>) are local to one query — they are not IRIs. | * Blank-node labels (<syntaxhighlight lang="sparql" inline>_:x</syntaxhighlight>) are local to one query — they are not IRIs. | ||
* Aggregates need GROUP BY for every non-aggregated variable; forgetting one mixes unrelated rows. | * Aggregates need GROUP BY for every non-aggregated variable; forgetting one mixes unrelated rows. | ||
* <syntaxhighlight lang="sparql" inline | * <syntaxhighlight lang="sparql" inline>FILTER NOT EXISTS</syntaxhighlight> differs from <syntaxhighlight lang="sparql" inline>MINUS</syntaxhighlight> when variables are unbound — prefer MINUS for set-difference semantics. | ||
* Endpoint prefixes are not universal — <syntaxhighlight lang="sparql" inline>wd:</syntaxhighlight>/<syntaxhighlight lang="sparql" inline>wdt:</syntaxhighlight> are Wikidata's; other instances define their own (see [[Help:Contributing/query]]). | * Endpoint prefixes are not universal — <syntaxhighlight lang="sparql" inline>wd:</syntaxhighlight>/<syntaxhighlight lang="sparql" inline>wdt:</syntaxhighlight> are Wikidata's; other instances define their own (see [[Help:Contributing/query]]). | ||
Revision as of 11:32, 19 August 2026
Quick reference for smart people — part of our dev cheatsheets collection.
SPARQL 1.1 quick syntax reference — for people who already know what SPARQL is
and need reminders on syntax. All examples run as-is against the public
Wikidata endpoint https://query.wikidata.org/sparql.
For a proper tutorial, take the
Wikidata SPARQL tutorial.
For querying a different Wikibase instance (endpoint, prefixes, label service),
see Help:Contributing/query.
Running example
How many dogs and cats are in Wikidata?
# wd: = entity (Q…), wdt: = property value (P…), SERVICE = label lookup
SELECT ?animal ?animalLabel (COUNT(?item) AS ?count) WHERE {
VALUES ?animal { wd:Q144 wd:Q146 } # dog, cat
?item wdt:P31 ?animal . # ?item is an instance of ?animal
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
GROUP BY ?animal ?animalLabel
| Animal | Count |
|---|---|
| dog | 553 |
| cat | 239 |
Query forms
| Form | Returns | Use when |
|---|---|---|
| SELECT | table of variable bindings | you want rows of data (the rest of this sheet) |
| ASK | true/false | you only need to know whether something exists |
| CONSTRUCT | an RDF graph (triples) | you want the result as RDF, not a table |
| DESCRIBE | a graph describing the resource | you want everything known about an entity |
# Is there at least one dog in Wikidata?
ASK WHERE { ?x wdt:P31 wd:Q144 . } # → true
# Every dog as an RDF graph (first two)
CONSTRUCT { ?x wdt:P31 wd:Q144 . }
WHERE { ?x wdt:P31 wd:Q144 . } LIMIT 2
Triple patterns & literals
A triple pattern is subject predicate object . —
each part may be a variable, an IRI, or a literal.
# What is the population of France? (→ 68,605,616)
SELECT ?population WHERE {
wd:Q142 wdt:P1082 ?population .
}
# Literals can carry datatypes or language tags:
# "42"^^xsd:integer "2026-08-19"^^xsd:date
# "dog"@en "chien"@fr
# A blank node means "some unnamed thing":
# wd:Q144 wdt:depicted-by [] . # dog depicted by something
Solution modifiers
| Clause | What it does |
|---|---|
| DISTINCT | drop duplicate rows |
| ORDER BY | sort (ASC(?) / DESC(?)) |
| LIMIT n | at most n rows |
| OFFSET n | skip n rows (paging) |
| GROUP BY | group rows for aggregation (see Aggregates) |
# The 3 most populous countries (ORDER BY + LIMIT)
SELECT ?countryLabel ?population WHERE {
?country wdt:P31 wd:Q6256 . # instance of: sovereign state
?country wdt:P1082 ?population .
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
ORDER BY DESC(?population)
LIMIT 3
Result: China 1,404,890,000 · India 1,326,093,247 · United States 340,110,988
FILTER
| Category | Operators / functions | |
|---|---|---|
| comparison | = < > <= >= != | |
| logical | && | ! |
| string | STR() CONTAINS() STRSTARTS() REGEX() | |
| numeric | ABS() ROUND() FLOOR() CEIL() | |
| date/time | YEAR() MONTH() DAY() NOW() | |
| term tests | isIRI() isBlank() isLiteral() LANG() DATATYPE() |
# Countries with more than 1 billion people (→ China, India)
SELECT ?countryLabel ?population WHERE {
?country wdt:P31 wd:Q6256 .
?country wdt:P1082 ?population .
FILTER(?population > 1000000000)
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
# France's population in millions (FILTER + BIND arithmetic)
SELECT ?population ?millions WHERE {
wd:Q142 wdt:P1082 ?population .
BIND(?population / 1000000 AS ?millions)
} # → 68.605616
VALUES & BIND
# Restrict ?animal to a fixed list (see the running example)
VALUES ?animal { wd:Q144 wd:Q146 }
# Compute a new variable from existing ones
BIND(?population / 1000000 AS ?millions)
OPTIONAL, UNION, MINUS
| Keyword | Meaning |
|---|---|
| OPTIONAL | left join: keep the row, leave the variable unbound when absent |
| UNION | alternatives (the default between patterns is AND, not OR) |
| MINUS | remove rows that match the pattern |
# Einstein (died 1955) vs Obama (alive): OPTIONAL leaves ?deathLabel unbound
SELECT ?personLabel ?deathLabel WHERE {
VALUES ?person { wd:Q937 wd:Q76 } # Einstein, Barack Obama
OPTIONAL { ?person wdt:P570 ?death . }
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
# → Albert Einstein 1955-04-18
# → Barack Obama (no death row)
# Nobel laureates minus the French ones (MINUS)
SELECT ?personLabel WHERE {
?person wdt:P166 wd:Q7191 .
MINUS { ?person wdt:P27 wd:Q142 . }
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
LIMIT 3
# Dogs AND cats in one result set (UNION + DISTINCT + GROUP BY)
SELECT ?animalLabel (COUNT(?item) AS ?n) WHERE {
{ ?item wdt:P31 wd:Q144 . BIND("dog" AS ?animalLabel) }
UNION
{ ?item wdt:P31 wd:Q146 . BIND("cat" AS ?animalLabel) }
}
GROUP BY ?animalLabel
Property paths
| Path | Meaning |
|---|---|
| wdt:P40/wdt:P40 | two hops (sequence) |
| wdt:P40+ | one or more hops |
| wdt:P40* | zero or more hops |
| wdt:P40? | zero or one hop |
| wdt:P41 | either property |
| ^wdt:P40 | inverse direction |
| !wdt:P40 | any property except P40 |
# Named dogs, including breeds and other subclasses of dog
# (wdt:P31/wdt:P279* = "instance of something that is a dog or a subclass of dog")
SELECT ?thing ?thingLabel WHERE {
?thing wdt:P31/wdt:P279* wd:Q144 .
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
LIMIT 3
Result: Theo · Tich · Tickle Em Jock
Aggregates
COUNT, SUM, AVG, MIN, MAX, SAMPLE (pick one arbitrary value), GROUP_CONCAT.
# Species with more than 400 direct instances (the running example with HAVING)
SELECT ?animalLabel (COUNT(?item) AS ?n) WHERE {
VALUES ?animal { wd:Q144 wd:Q146 }
?item wdt:P31 ?animal .
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
GROUP BY ?animal ?animalLabel
HAVING (COUNT(?item) > 400) # → only dog: 553
# Collect labels into one cell
SELECT ?personLabel (GROUP_CONCAT(?awardLabel; SEPARATOR=", ") AS ?awards) WHERE {
VALUES ?person { wd:Q937 }
?person wdt:P166 ?award .
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
GROUP BY ?personLabel
Subqueries
A query inside a query — useful for "the X with the max Y" patterns.
# The most populous country, computed via a subquery (→ China)
SELECT ?countryLabel ?max WHERE {
{
SELECT (MAX(?population) AS ?max) WHERE {
?c wdt:P31 wd:Q6256 .
?c wdt:P1082 ?population .
}
}
?country wdt:P31 wd:Q6256 .
?country wdt:P1082 ?max .
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
SERVICE (labels, federation)
The label service turns entity IDs into human-readable labels — used in most queries above:
SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
# then reference ?xLabel for every ?x in the query
# Federating to another endpoint (needs the remote's own IRIs, e.g. via owl:sameAs)
SELECT ?cityLabel WHERE {
wd:Q64 wdt:P36 ?city .
?city owl:sameAs ?dbpediaCity .
SERVICE <https://dbpedia.org/sparql> {
?dbpediaCity rdfs:label ?cityLabel .
FILTER(LANG(?cityLabel) = "en")
}
}
Common tasks
- Count rows:
SELECT (COUNT(*) AS ?n) WHERE { … } - Check existence:
ASK WHERE { … } - Deduplicate: add
DISTINCT - Reverse a relation:
?child ^wdt:P40 ?parent - Page through results:
LIMIT 100 OFFSET 100 - JSON output: append
&format=jsonto the endpoint URL
Gotchas
- The default between triple patterns is AND (join) — use UNION for alternatives.
- An unbound variable in
FILTERmakes the row fail (unbound ≠ false) — guard withBOUND()or restructure with OPTIONAL. - Variables used only inside a property path (e.g.
?s wdt:P40/wdt:P40 ?o) cannot be selected. - Blank-node labels (
_:x) are local to one query — they are not IRIs. - Aggregates need GROUP BY for every non-aggregated variable; forgetting one mixes unrelated rows.
FILTER NOT EXISTSdiffers fromMINUSwhen variables are unbound — prefer MINUS for set-difference semantics.- Endpoint prefixes are not universal —
wd:/wdt:are Wikidata's; other instances define their own (see Help:Contributing/query).
Further reading
- Wikidata SPARQL tutorial — the recommended tutorial
- SPARQL 1.1 Query Language — official spec
- Wikidata Query Service — the example endpoint used here
- Help:Contributing/query — querying a different instance (endpoint, prefixes, label service)