Do we have a way to make an accumulated sum in SPARQL that is not reduced?
For instance,
SELECT ?p WHERE {
VALUES ?p { 1 1 2 }
}
ORDER BY ?p
would result in 1 2 4, - rather than 4.
If you want to calculate accumulated sums in the absense of RDF data ('FROM DUAL'), it is impossible:
VALUES,VALUES themself are unordered.However, if values are present in RDF data, it is possible to calculate their accumulated sums.
Consider the following example.
Input data
INSERT DATA {
ex:st ex:order "1"^^xsd:integer ;
ex:value "1"^^xsd:integer .
ex:nd ex:order "2"^^xsd:integer ;
ex:value "1"^^xsd:integer .
ex:rd ex:order "3"^^xsd:integer ;
ex:value "2"^^xsd:integer .
}
Query
SELECT
(SAMPLE(?v1) AS ?v)
(SUM(?v2) AS ?acc)
WHERE {
?e1 ex:order ?o1 ; ex:value ?v1 .
?e2 ex:order ?o2 ; ex:value ?v2 .
FILTER (?o1 >= ?o2)
} GROUP BY ?e1 ORDER BY ASC(SAMPLE(?o1))
Output
v acc
------------------- ------------------
"1"^^xsd:integer "1"^^xsd:integer
"1"^^xsd:integer "2"^^xsd:integer
"2"^^xsd:integer "4"^^xsd:integer
The values in the example above are ordered explicitly, but it is not very hard to write a query when values are ordered implicitly (as in ABC analysis).
Let us consider another example, which uses Turtle list syntax.
Input data
INSERT DATA {
ex:data ex:values (1 1 2)
}
Query
SELECT
(SAMPLE(?v2) AS ?v)
(SUM(?v1) AS ?acc)
WHERE {
ex:data ex:values/rdf:rest* ?e1 .
?e1 rdf:first ?v1 .
?e1 rdf:rest* ?e2 .
?e2 rdf:first ?v2 .
} GROUP BY (?e2) ORDER BY(COUNT(?e1))
Output
v acc
------------------- ------------------
"1"^^xsd:integer "1"^^xsd:integer
"1"^^xsd:integer "2"^^xsd:integer
"2"^^xsd:integer "4"^^xsd:integer
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