Datalog is a declarative programming language that was introduced as a query language for deductive databases in the late 70s. Areas including web semantics, program analysis, and security analysis use Datalog as a domain specific language. Datalog adapts the syntax style of Prolog. A full exposition is beyond the scope of this manual – more details are available in the book Foundations of Databases by Abiteboul, Hull and Vianu, or tutorial material. Datalog uses first-order predicate logic to express computations in form of Horn clauses. A Horn clause is a disjunction of literals with at most one positive literal that can be written in implication form as,
u ⇐ p ∧ q ∧ … ∧ t
The Horn clause can be read as: predicate u holds if the conditions p ∧ q ∧ … ∧ t hold. We refer to predicate u as the head (aka. consequent), and the condition p ∧ q ∧ … ∧ t as body (aka. antecedent), repectively.
There are three different types of Horn clause:
- Facts are of the form, u ⇐ true
- Definite clauses have a predicate as a head, and one or more predicates in the body, as above.
- Goal clauses are horn clauses of the form false ⇐ p ∧ q ∧ … ∧ t
The literals are predicates (i.e. logical functions with arguments that are either constants or variables), negated predicates, or constraints. All variables of a clause must be grounded, i.e., a variable must occur at least once as an argument of a positive predicate in the body of a clause. Soufflé permits arithmetic and string functors assuming that their arguments are grounded.
A Soufflé program has no interactive mode and queries are reduced to whole relations. Goals are whole logical relations of the form false ⇐ p where p is a logical relation. However, for one logical program several goals may be specified.
Note that Soufflé’s language permits the extension of the domain while evaluting the logic program. Hence Soufflé goes beyond the standard semantics of Datalog (i.e., finite domains, stratified negations, and totally ordered domains), and becomes Turing equivalent. As a consequence, some programs may not terminate because of this extension.
B with two number attributes.
.decl A(x:number, y:number) // declaration of relation A A(1,2). // facts of relation A A(2,3). .decl B(x:number, y:number) // declaration of relation B B(x,y) :- A(x,y). // rules of relation B B(x,z) :- A(x,y), B(y,z). .output B
A has two facts:
A fact is a rule that holds unconditionally, i.e., a fact is a Horn Clause
A(1,2) ⇐ true.
B has two rules, i.e.,
B(x,y) :- A(x,y). and
B(x,y) :- A(x,y), B(y,z).. The directive
.output B queries the relation
B at the end of the execution. Several queries may show up in the program. For example, by adding the directive
.output A the relation
A is queried at the end of execution as well. The locations of the facts, rules, and queries (i.e., output directives) in the source code are irrelevant.
Soufflé requires the declaration of relations. A relation is a set of ordered tuples (x1, …, xk) where each element xi is a member of a data domain denoted by an attribute type. In the previous example, the declaration
.decl A(x:number, y:number).
defines the relation
A that contains pairs of numbers only.
The first attribute is named
x and the second attribute is
y. Attributes have a type which is specified by an
identifier followed by a colon after the attribute name.
In the above example, the type is a number.
The type-checker of Soufflé will infer the type of variables in rules where name bindings in clauses are correct at compile time. The details of the type system are covered below.
Souffle utilises a typed Datalog dialect to conduct static checks enabling the early detection of errors in Datalog query specifications. Each attribute of involved relations has to be typed. Based on those, Souffle attempts to deduce a type for all terms within all the Horn clauses within a given Datalog program. In case no type can be deduced for some terms, a typing error is reported – indicating a likely inconsistency in the query specification.
There are two basic types in Souffle: (1)
symbol and (2)
number. Those types have the following properties:
Numbers are signed integer numbers and are fixed to a fixed range. At the moment the range is fixed to the
int32_ttype covering the range [ -2^31 .. 2^31 -1 ]. However, the type could be altered by a compile time flags to any basic type that the C++ compiler supports.
Symbols are reference values that have a symbolic representation as well. They are currently represented as strings. Thus, string based operations, e.g. string concatenation, may introduce new values, not present in any input set, to the stable result set.
Currently, no distinction between symbols representing entities and their string representation is made. As a consequence, any symbol may be interpreted as a string for string operations. This would, for instance, enable the creation of a new city “BrisbaneSydney” through an expression
cat(X,Y) where the variables
Y are bound correspondingly. It is the user’s responsibility to use
cat only in sound contexts. Future development may resolve this shortcoming in the type system.
Based on those predefined types, user defined types may be specified. There are three ways of defining new types:
- Primitive Types are independent, user-defined types covering a subset of one of the predefined types (symbols or numbers). Primitive types are defined by constructs of the form:
.number_type weight // creates a user defined number type .symbol_type City // creates a user defined symbol type .type Village // synonym to .symbol_type Village
Operators applicable to the corresponding base type (
symbol) can also be applied on the corresponding user-defined primitive type. For instance, arithmetic operations can be applied on values of the
weighttype above – thus, weights might be added or multiplied.
- Union Types are combining multiple types into a new type. Union types are defined similar to
.type Place = Village | City
Placeon the left side is the name of the new type and on the right side there is a list of one or more types to be aggregated – in this case
City. Any village or city value will be a valid Place.
The following sub-sections will provide more in-depth details on the semantics of types in Souffle’s Datalog dialect.
Relations are declared using the directive .decl followed by a parenthesis with its attribute names and types. For example,
.decl A(x:number, y:number).
defines the relation A with two columns of type number.
Clauses are conditional logic statements. A clause starts with a head followed by a body. For example,
A(x,y) :- B(x,y).
a pair (x,y) is in A, if it is in B.
Clauses have qualifiers which direct the query planner for better query execution. The qualifier
“.strict” forces the query planner to use the order of the specified clause. The qualifer “.plan” permits the programmer to specify a schedule for each version of the clause. Several versions of a clause may occur if the clause is evaluated in a fixpoint.
A clause of the form
CanRenovate(person, building) :- Owner(person, building), !Heritage(building).
expresses the rule that an owner can renovate a building with the condition the building is not classified as heritage. Thus the literal “Heritage(building)” is negated (via “!”) in the body of the clause.
But negation needs to be used with care. For example,
A(x) :- ! B(x). B(x) :- ! A(x).
is a circular definition. One cannot determine if anything belongs to the relation “A” without determining if it belongs to relation “B”. But to determine if it is a “B” one needs to determine if the item belongs to “A”. Such circular definitions are forbidden. Technically, rules involving negation must be stratifiable.
Negated literals do not bind variables. For example,
A(x,y) :- R(x), !S(y).
is not valid as the set of values that “y” can take is not clear. This can be rewritten as,
A(x,y) :- R(x), Scope(y), !S(y).
where the relation “Scope” defines the set of values that “y” can take.
Comments and Pre-Processing
Souffle utilises the same comment syntax as C/C++. Furthermore, all souffle programs are passed through the C pre-processor. As a consequence, e.g.
#include pragmas may be utilized to organize Datalog input queries into several files and reuse common constructs within several programs. Also, constants may be defined utilizing the
Identifier Naming Rules
Souffle Identifiers follow the C++ naming convention, except that a question mark may appear anywhere.
- The identifier can only be composed of letters (lower or upper case), numbers, or the question mark and underscore characters. That means the name cannot contain whitespace, or any symbols other than underscores or question marks.
- The identifier must begin with a letter (lower or upper case), an underscore, or a question mark. It can not start with a number.