Graph Datatypes
DSE Graph supports a variety of datatypes. Ruby driver for DSE transparently maps each of those datatypes to a specific Ruby type.
Background
- Given
- a running dse cluster with graph enabled
- And
- an existing graph called “datatypes” with schema:
schema.propertyKey('bigint').Bigint().ifNotExists().create(); schema.propertyKey('blob').Blob().ifNotExists().create(); schema.propertyKey('boolean').Boolean().ifNotExists().create(); schema.propertyKey('decimal').Decimal().ifNotExists().create(); schema.propertyKey('double').Double().ifNotExists().create(); schema.propertyKey('duration').Duration().ifNotExists().create(); schema.propertyKey('float').Float().ifNotExists().create(); schema.propertyKey('inet').Inet().ifNotExists().create(); schema.propertyKey('int').Int().ifNotExists().create(); schema.propertyKey('text').Text().ifNotExists().create(); schema.propertyKey('timestamp').Timestamp().ifNotExists().create(); schema.propertyKey('uuid').Uuid().ifNotExists().create(); schema.propertyKey('varint').Varint().ifNotExists().create(); schema.propertyKey('smallint').Smallint().ifNotExists().create(); schema.propertyKey('point').Point().ifNotExists().create(); schema.propertyKey('linestring').Linestring().ifNotExists().create(); schema.propertyKey('polygon').Polygon().ifNotExists().create(); schema.vertexLabel('datatypes').properties('bigint', 'blob', 'boolean', 'decimal', 'double', 'duration', 'float', 'inet', 'int', 'text', 'timestamp', 'uuid', 'varint', 'smallint', 'point', 'linestring', 'polygon').ifNotExists().create();
Using strings
- Given
- the following example:
require 'dse' cluster = Dse.cluster(graph_name: 'datatypes') session = cluster.connect blob = 'YmxvYg==' text = 'text' session.execute_graph("graph.addVertex(label, 'datatypes', 'blob', blob_value); graph.addVertex(label, 'datatypes', 'text', text_value)", arguments: {blob_value: blob, text_value: text } ) vertex = session.execute_graph("g.V().hasLabel('datatypes').has('blob')").first puts "Blob: #{vertex.properties['blob'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('text')").first puts "Text: #{vertex.properties['text'].first.value}"
- When
- it is executed
- Then
- its output should contain:
Blob: YmxvYg== Text: text
Using numbers
- Given
- the following example:
require 'dse' cluster = Dse.cluster(graph_name: 'datatypes') session = cluster.connect bigint = 765438000 decimal = ::BigDecimal.new('1313123123.234234234234234234123') double = 3.141592653589793 float = 1.25 int = 4 varint = 67890656781923123918798273492834712837198237 session.execute_graph("graph.addVertex(label, 'datatypes', 'bigint', bigint_value); graph.addVertex(label, 'datatypes', 'decimal', decimal_value); graph.addVertex(label, 'datatypes', 'double', double_value); graph.addVertex(label, 'datatypes', 'float', float_value); graph.addVertex(label, 'datatypes', 'int', int_value); graph.addVertex(label, 'datatypes', 'varint', varint_value)", arguments: {bigint_value: bigint, decimal_value: decimal, double_value: double, float_value: float, int_value: int, varint_value: varint } ) vertex = session.execute_graph("g.V().hasLabel('datatypes').has('bigint')").first puts "Bigint: #{vertex.properties['bigint'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('decimal')").first puts "Decimal: #{vertex.properties['decimal'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('double')").first puts "Double: #{vertex.properties['double'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('float')").first puts "Float: #{vertex.properties['float'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('int')").first puts "Int: #{vertex.properties['int'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('varint')").first puts "Varint: #{vertex.properties['varint'].first.value}"
- When
- it is executed
- Then
- its output should contain:
Bigint: 765438000 Decimal: 1313123123.2342343 Double: 3.141592653589793 Float: 1.25 Int: 4 Varint: 67890656781923123918798273492834712837198237
Using identifiers, booleans and ip addresses
- Given
- the following example:
require 'dse' cluster = Dse.cluster(graph_name: 'datatypes') session = cluster.connect boolean = true inet = ::IPAddr.new('200.199.198.197') timestamp = ::Time.at(1358013521, 123000) uuid = Cassandra::Uuid.new('00b69180-d0e1-11e2-8b8b-0800200c9a66') session.execute_graph("graph.addVertex(label, 'datatypes', 'boolean', boolean_value); graph.addVertex(label, 'datatypes', 'inet', inet_value); graph.addVertex(label, 'datatypes', 'timestamp', timestamp_value); graph.addVertex(label, 'datatypes', 'uuid', uuid_value)", arguments: {boolean_value: boolean, inet_value: inet, timestamp_value: timestamp, uuid_value: uuid } ) vertex = session.execute_graph("g.V().hasLabel('datatypes').has('boolean')").first puts "Boolean: #{vertex.properties['boolean'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('inet')").first puts "Inet: #{vertex.properties['inet'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('timestamp')").first puts "Timestamp: #{vertex.properties['timestamp'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('uuid')").first puts "Uuid: #{vertex.properties['uuid'].first.value}"
- When
- it is executed
- Then
- its output should contain:
Boolean: true Inet: 200.199.198.197 Timestamp: 2013-01-12T17:58:41Z Uuid: 00b69180-d0e1-11e2-8b8b-0800200c9a66
Using Duration datatype
- Given
- the following example:
require 'dse' duration = Dse::Graph::Duration.new(2, 3, 1, 4.528) puts "Days: #{duration.days}" puts "Hours: #{duration.hours}" puts "Minutes: #{duration.minutes}" puts "Seconds: #{duration.seconds}" puts "Duration as seconds: #{duration.as_seconds}" puts "String form: #{duration.to_s}" puts "" duration2 = Dse::Graph::Duration.parse('P2DT3H1M4.528S') puts "String form: #{duration2.to_s}" duration2.days -= 2 duration2.hours += 48 duration2.minutes = -1 duration2.seconds += 120 puts "Duration as seconds: #{duration.as_seconds}" puts "String form: #{duration2.to_s}" puts "Are duration values equivalent? #{duration == duration2}" puts "" cluster = Dse.cluster(graph_name: 'datatypes') session = cluster.connect session.execute_graph("graph.addVertex(label, 'datatypes', 'duration', duration_value)", arguments: {duration_value: duration} ) vertex = session.execute_graph("g.V().hasLabel('datatypes').has('duration')").first puts "Duration: #{vertex.properties['duration'].first.value}"
- When
- it is executed
- Then
- its output should contain:
Days: 2 Hours: 3 Minutes: 1 Seconds: 4.528 Duration as seconds: 183664.528 String form: P2DT3H1M4.528S String form: P2DT3H1M4.528S Duration as seconds: 183664.528 String form: P0DT51H-1M124.528S Are duration values equivalent? true Duration: PT51H1M4.528S
Using geospatial types
- Given
- the following example:
require 'dse' cluster = Dse.cluster(graph_name: 'datatypes') session = cluster.connect point = Dse::Geometry::Point.new(38.0, 21.0) line_string = Dse::Geometry::LineString.new('LINESTRING (30 10, 10 30, 40 40)') polygon = Dse::Geometry::Polygon.new('POLYGON ((0.0 0.0, 10.0 0.0, 10.0 10.0, 0.0 10.0, 0.0 0.0), (1.0 1.0, 4.0 9.0, 9.0 1.0, 1.0 1.0))' ) session.execute_graph("graph.addVertex(label, 'datatypes', 'point', point_value); graph.addVertex(label, 'datatypes', 'linestring', line_string_value); graph.addVertex(label, 'datatypes', 'polygon', polygon_value)", arguments: {point_value: point, line_string_value: line_string, polygon_value: polygon } ) vertex = session.execute_graph("g.V().hasLabel('datatypes').has('point')").first puts "Point: #{vertex.properties['point'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('linestring')").first puts "Line_string: #{vertex.properties['linestring'].first.value}" vertex = session.execute_graph("g.V().hasLabel('datatypes').has('polygon')").first puts "Polygon: #{vertex.properties['polygon'].first.value}"
- When
- it is executed
- Then
- its output should contain:
Point: POINT (38 21) Line_string: LINESTRING (30 10, 10 30, 40 40) Polygon: POLYGON ((0 0, 10 0, 10 10, 0 10, 0 0), (1 1, 4 9, 9 1, 1 1))