Conjunctive query combine complexity

Mar 9, 2017This paper proposes the first general study of the combined complexity of conjunctive query evaluation on probabilistic instances over binary 
Conjunctive queries are NP-complete with respect to combined complexity, while the data complexity of conjunctive queries is very low, in the parallel complexity class AC0, which is contained in LOGSPACE and thus in polynomial time.
Conjunctive queries are NP-complete with respect to combined complexity, while the data complexity of conjunctive queries is very low, in the parallel   DefinitionRelationship to other query DatalogComplexity

What is the complexity of a query?

Each query has still only the complexity O ( log n) , which is small enough for most use-cases (e.g. log 2 10 9 ≈ 30 ).
In this implementation we have two queries, adding a value to a position (initially all values are 0 ), and computing the sum of all values in a range.
Vertex (0, n) will be the root vertex of the implicit tree.

,

What is the computational complexity of evaluating conjunctive queries?

For the study of the computational complexity of evaluating conjunctive queries, two problems have to be distinguished.
The first is the problem of evaluating a conjunctive query on a relational database where both the query and the database are considered part of the input.


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