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datalogr

datalogr is an R package to query a Datomic database from R. It provides the following functionality:

  • It communicates with a database remote instance
  • It contains a DSL to write queries from R that are syntactically very similar to the dialect of Datalog used in Datomic
  • It serves the query results as R data structures

Design

Queries are represented as R data structures which are composed using the functionality provided by datalogr. Once ready, queries are serialized to JSON, and sent to the server.

JSON results from the server are in turn de-serialized into vanilla R datastructures such as data frames, matrices, vectors and lists

Database access

You can decide which database to query by passing the db.name argument to the do_query function. Alternatively you can set a database globally for the entire session using set_dbname, this saves you from having to explicitly pass the database name with every query

Query DSL

Queries are composed using the functions query, find, where, and optionally args. Individual where clauses are wrapped using the d function. The query function returns a data structure representing the query (queries can be manipulated as data), which is then passed to the do_query function.

Query arguments are written using the following syntax

args(?arg-name <- value)

This causes value to be bound to the symbol ?arg-name within the query context

For instance the following query

(d/q '[:find ?release-name
       :in $ ?artist-name
       :where [?artist :artist/name ?artist-name]
              [?release :release/artists ?artist]
              [?release :release/name ?release-name]]
       db "Bruce Springsteen")

is written as follows

qq <- query(
        find(?release-name),
        where(
            d(?artist, artist/name, ?artist-name),
            d(?release, release/artists, ?artist),
            d(?release, release/name, ?release-name)
        ),
        args(?artist-name <- "Bruce Springsteen")
)

do_query(qq)

The following rules apply when converting expression to Datalog:

Datalog (Clojure) R
operators prefix, e.g. (+ 2 3) infix, e.g. (2 + 3)
function calls S-expressions, e.g. (max ?dur) regular R syntax, e.g. max(?dur)
blank variable _ .
attribute names start with :, e.g. :artist/name the initial : is omitted, e.g. artist/name

Additionally the R DSL provides a mechanism for quasi-quotation. Symbols preceded by !! are replaced with their bound value before the query is parsed. For instance the following queries:

query(
    find(?a),
    where(d(?a, artist/name, ?artist-name)),
    args(?artist-name <- "Bruce Springsteen")
)
artist.name <- "Bruce Springsteen"

query(
    find(?a),
    where(d(?a, artist/name, ?artist-name)),
    args(?artist-name <- !!artist.name)
)

are equivalent

Combining queries

Queries are data and can be combined using the c_query function. This is useful for assembling queries from fragments programmatically.

Pull expressions

datalogr also support the Datomic pull expression syntax (see here for more information). Pull expressions can be included in the find clause of a query (e.g. query(find(pull(...)))) As with the query syntax described above, there are minor differences between the Clojure and R syntax

Clojure R
vectors [] c()
maps {key val} {key = val}
back references _ e.g. artist/_country . e.g. artist/.country
wildcard * . (isolated, not part of an attribute name)
attribute names start with :, e.g :artist/name the initial : is omitted, e.g. artist/name
as syntax start with :, e.g. :db/ident :as ident the initial : is omitted, e.g db/ident as ident

For instance the following pull expression in Clojure

(pull ?release '[* {:release/labels [*]}])

is equivalent to the R

pull(?release, c(., {release/labels = c(.)}))

which can be used in the context of a query as follows

qq <- query(
    find(pull(?release, c(., {release/labels = c(.)}))),
    where(
        d(?artist, artist/name, ?artist-name),
        d(?release, release/artists, ?artist)
    ),
    args(?artist-name <- "Bruce Springsteen")
)

do_query(qq)

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An R package to write Datalog queries and interact with a Datomic database

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