Ruby Interface to a Arcade Database.
The program utilizes the HTTP-JSON API to direct database queries to an ArcadeDB server. The server's response is then mapped to an ORM (Object-Relational Mapping) based on DRY::Struct. Each database type is represented by a dedicated Model Class, where complex queries are encapsulated. The program also includes a Query-Preprocessor and Match-statment generator for constructing custom queries in ruby fashion.
ArcadeDB internally uses Arcade as primary namespace*
A running AracdeDB-Instance. Quick-Start-Guide.
mkdir project && cd project
bundle init
bundle add arcadedb
bundle add pastel # for console output
mkdir model
mkdir bin
copy https://github.com/topofocus/arcadedb/blob/main/bin/console to the bin directory
copy https://github.com/topofocus/arcadedb/blob/main/arcade.yml to the project root and modify to your needs
To start an interactive console, a script is provided in the bin-directory.
$ cd bin && ./console.rb t ( or "d" or "p" for Test, Development and Production environment)
**in Test environment Database definitions (model-files) of the test-suite are included!**
Just require it in your program:
require "arcade"Add a file arcade.yml at the root of your program or in the config-dir and provide suitable databases for test, development and production environment.
The example directory contains documented sample files for typical usecases
The spec-files in the rspec-test-suite-section are worth reading, too.
The adapter uses a 3 layer concept.
Top-Layer : Arcade::Base-Model-Objects.
Similar to ActiveRecord Model Objects but based on Dry-Struct.
# Example model file /model/demo/user.rb
module Demo
class User < Arcade::Vertex
attribute :name, Types::Nominal::String
def grandparents
db.query( "select in('is_family') from #{rid} ") &.allocate_model
end
end
end
__END__
CREATE PROPERTY demo_user.name STRING
CREATE INDEX on demo_user( name ) UNIQUEOnly the name attribute is declared.
Demo::User.create_type creates the type and executes provided database-commands after __END__.
Other properties are schemaless. They are present in the database and are mapped to the value-attribute on the ruby side.
Person.insert name: "Hubert", age: 35
Person.update set: { age: 36 }, where: { name: 'Hubert' }
persons = Person.where "age > 40"
persons.first.update age: 37
persons.first.update father: Person.create( name: 'Mike', age: 94 )
Person.all
Person.delete all: true || where: age: 56 , ...ArcadeDB wraps common queries of bidirectional connected vertices.
Suppose
m = Person.insert name: 'Hubert', age: 25
f = Person.insert name: 'Pauline', age: 28
m.assign via: IsMarriedTo, vertex: f , divorced: falseThis creates the simple graph
Hubert --- is_married_to --> Pauline | -- divorced (attribute on the edge)
This can be queried through
hubert = Person.find name: 'Hubert'
pauline = hubert.nodes( :out, via: IsMarriedTo ).first
# or simply
pauline = hubert.out.firstConditions may be set, too.
hubert.nodes( :out, via: IsMarriedTo, where: "age < 30" )gets all wives of hubert, who are younger then 30 years.
or
Person.nodes( :outE, via: IsMarriedTo, where: { divorced: false } )gets all wives where the divorced-condition, which is set on the edge, is false.
A Query Preprocessor is implemented. Its adapted from ActiveOrient. The documentation
is still valid, however the class has changed to Arcade::Query.
A simple Match Statement Generator is provided for convenience. As the declarative syntax seems to be very intuitive, a preprocessor should not be necessary. With the help of some ruby magic, the creation of match-statements is simply an no-brainer.
a = Arcade::Match.new( type: Person, as: :persons)
.out( IsMarriedTo )
.node( where: 'age < 30')
a.to_s
=> Match { type: person, as: persons }.out('is_married_to'){ where: ( age < 30) } RETURN persons
a.execute.select_results # sends the statement to the database and returns Arcade Objects. Arcade::Match-objects can be used as from: argument to Arcade::Query-Statements, thus hybrid queries are
easily constructed without extensive string-manipulations.
The second Layer handles Database-Requests.
In its actual implementation, these requests are delegated to the HTTP/JSON-API.
Arcade::Init uses the database specification of the arcade.yml file.
The database-handle is always present through Arcade::Init.db
db = Arcade::Init.db
$ db.get nn, mm # returns a Aracde:Base object
# rid is either "#11:10:" or two numbers
$ db.query querystring # returns either an Array of results (as Hash)
$ db.execute { querystring } # execute a non idempotent query within a (nested) transaction
$ db.create <name>, attribute: value .... # Creates a new <Document | Vertex> and returns the rid
# Operation is performed as Database-Transaction and is rolled back on error
$ db.insert <name>, attribute: value .... # Inserts a new <Document | Vertex> and returns the new object
$ db.create_edge <name>, from: <rid> or [rid, rid, ..] , to: <rid> or [rid, rid, ..]Convert database input to Arcade::Base Models
Either db.query or dbB.execute return the raw JSON-input from the database. It can always converted to model-objects by chaining
allocate_model or select_result.
$ db.query "select from my_names limit 1"
# which is identical to
$ My::Names.query( limit: 1).query
=> [{:@out=>0, :@rid=>"#225:6", :@in=>0, :@type=>"my_names", :@cat=>"v", :name=>"Zaber"}]
# then
$ My::Names.query( limit: 1).query.allocate_model.to_human
=> ["<my_names[#225:6]: name: Zaber>" ]
# replaces the hash with a My::Names Object The Base Layer implements a low level access to the database API.
$ Arcade::Api.databases # returns an array of known databases
$ Arcade::Api.create_database <a string> # returns true if successfull
$ Arcade::Api.drop_database <a string> # returns true if successfull
$ Arcade::Api.begin_transaction <database>
$ Arcade::Api.create_document <database>, <type>, attribute: value , ...
$ Arcade::Api.execute( <database> ) { <query> }
$ Arcade::Api.commit <database> # or Arcade::Api.rollback
$ Arcade::Api.query( <database> ) { <query> }
$ Arcade::Api.get_record <database>, rid # returns a hash<query> is either a string or a hash:
{ :query => "<the query string> ",
:language => one of :sql, :cypher, :gmelin: :neo4 ,
:params => a hash of parameters,
:limit => a number ,
:serializer => one of :graph, :record } Simple tasks are implemented on the model layer.
The upsert command either updates or creates a database record.
User.upsert name: 'Hugo'
# or
User.upsert set: { age: 46 }, where: { name: 'Hugo' }either creates the record (and returns it) or returns the existing database entry. Obviously, the addressed attribute (where condition) must have a proper index.
The upsert statement provides a smart method to ensure the presence of a defined starting point.
Apart from accessing attributes by their method-name, adjacent edges and notes are fetched through
new_vertex = ->(n) { Node.create( note_count: n ) } ## lambda to create a Node type record
nucleus = BaseNode.create item: 'b' ## create a start node
(1..10).each{ |n| nucleus.assign( via: Connects, vertex: new_vertex[n]) } ## connect nodes via Connects-EdgesAfter creating a star-like structure, the environment can be explored
nucleus.edges.to_human
=>["<connects[#80:14] :.: #4:0->{}->#34:2>",
"<connects[#79:13] :.: #4:0->{}->#31:1>",
( ... )
"<connects[#79:14] :.: #4:0->{}->#31:2>"]
nucleus.nodes.to_human
=> ["<node[#34:2]: item: 10>",
"<node[#31:1]: item: 1>",
( ... )
"<node[#31:2]: item: 9>"] Edges provide a vertices-method to load connected ones. Both vertices and edges expose in, out, both-methods to select connections further.
Specific edge-classes (types) are provided with the via: parameter, as shown in assign above.
To ease queries to the graph database, Arcade::Query supports traversal of nodes
Create a Chain of Nodes:
def linear_elements start, count #returns the edge created
new_vertex = ->(n) { Arcade::ExtraNode.create( note_count: n ) }
(2..count).each{ |n| start = start.assign vertex: new_vertex[n], via: Arcade::Connects }
end
start_node = Arcade::ExtraNode.create( item: 'linear' )
linear_elements start_node , 200Select a range of nodes and perform a mathematical operation
hundred_elements = start_node.traverse :out, via: Arcade::Connects, depth: 100
median = Query.new from: hundred_elements,
projection: 'median(note_count)',
where: '$depth>=50'
median.to_s
-=> select median(note_count) from ( traverse out(connects) from #52:0 while $depth < 100 ) where $depth>=50
=> {:"median(note_count)"=>75.5 }Database-Transactions are largely encapsulated
db = Arcade::Init.db
db.begin_transaction
{ perform insert, update, query, etc tasks in the database }
db.commit
# or
db.rollback
Although ArcadeDB is a mutable database, the ruby-Interface supports basic audit proofed transactions. Two specialized Database-Types are included:
- Arcade::RevisionRecord – A document class, intended to be embedded in Revision-Records
- Arcade::Revision – A vertex-class with specialized
insert-andupdate-methods
If a vertex is based on Arcade::Revision, a protocol-property is included. Its initialised with a single Arcade::RevisionRecord Object. Each update adds an Arcade::RevisionRecord to the protocol stack.
m= Member.insert( name: "Hubert",
surname: "Hugo",
birth: Date.new( 1976,3,15 ) ) { 'record initiated' }
m.update( birth: Date.new( 1978,3,15 ) ) { "member provided correct date via mail" }
m.protocol => Date | User | Action | old
--------------------------------------------------------------------------------
=> 1.1.2024 | root | record initiated |
=> 1.2.2024 | root | member provided correct date via mail | birth: "1976-3-15"Bug reports and pull requests are welcome. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
Everyone interacting in the Core project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.
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