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您创建的 GraphMappingConfig
指定如何将从源数据存储中提取的数据加载到 Neptune 数据库集群中。它的格式根据要加载 RDF 数据还是要加载属性图数据而有所不同。
对于 RDF 数据,您可以使用 W3 R2RML
如果要加载将使用 Gremlin 查询的属性图数据,则为 GraphMappingConfig
创建 JSON 对象。
GraphMappingConfig RDF/SPARQL 数据的布局
如果您正在使用 SPARQL 加载要查询的 RDF 数据,您可以在 R2RMLGraphMappingConfig
。R2RML
是一种标准 W3 语言,用于将关系数据映射到 RDF。示例如下:
@prefix rr: <http://www.w3.org/ns/r2rml#> . @prefix ex: <http://example.com/ns#> . <#TriplesMap1> rr:logicalTable [ rr:tableName "nodes" ]; rr:subjectMap [ rr:template "http://data.example.com/employee/{id}"; rr:class ex:Employee; ]; rr:predicateObjectMap [ rr:predicate ex:name; rr:objectMap [ rr:column "label" ]; ] .
以下是另一个示例:
@prefix rr: <http://www.w3.org/ns/r2rml#> . @prefix ex: <http://example.com/#> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <#TriplesMap2> rr:logicalTable [ rr:tableName "Student" ]; rr:subjectMap [ rr:template "http://example.com/{ID}{Name}"; rr:class foaf:Person ]; rr:predicateObjectMap [ rr:predicate ex:id ; rr:objectMap [ rr:column "ID"; rr:datatype xsd:integer ] ]; rr:predicateObjectMap [ rr:predicate foaf:name ; rr:objectMap [ rr:column "Name" ] ] .
位于 R2RML:RDB 到 RDF 映射语言
GraphMappingConfig Property-Graph/Gremlin 数据的布局
与属性图形数据相当的 GraphMappingConfig
是一个 JSON 对象,该对象为要从源数据生成的每个图形实体提供映射规则。以下模板显示了此对象中的各个规则的情况:
{
"rules": [
{
"rule_id": "(an identifier for this rule)",
"rule_name": "(a name for this rule)",
"table_name": "(the name of the table or view being loaded)",
"vertex_definitions": [
{
"vertex_id_template": "{col1}",
"vertex_label": "(the vertex to create)",
"vertex_definition_id": "(an identifier for this vertex)",
"vertex_properties": [
{
"property_name": "(name of the property)",
"property_value_template": "{col2} or text",
"property_value_type": "(data type of the property)"
}
]
}
]
},
{
"rule_id": "(an identifier for this rule)",
"rule_name": "(a name for this rule)",
"table_name": "(the name of the table or view being loaded)",
"edge_definitions": [
{
"from_vertex": {
"vertex_id_template": "{col1}",
"vertex_definition_id": "(an identifier for the vertex referenced above)"
},
"to_vertex": {
"vertex_id_template": "{col3}",
"vertex_definition_id": "(an identifier for the vertex referenced above)"
},
"edge_id_template": {
"label": "(the edge label to add)",
"template": "{col1}_{col3}"
},
"edge_properties":[
{
"property_name": "(the property to add)",
"property_value_template": "{col4} or text",
"property_value_type": "(data type like String, int, double)"
}
]
}
]
}
]
}
请注意,顶点标签的存在意味着在这里创建了顶点,而没有顶点标签则意味着顶点由不同的源创建,而此定义仅添加顶点属性。
以下是员工记录的示例规则:
{
"rules": [
{
"rule_id": "1",
"rule_name": "vertex_mapping_rule_from_nodes",
"table_name": "nodes",
"vertex_definitions": [
{
"vertex_id_template": "{emp_id}",
"vertex_label": "employee",
"vertex_definition_id": "1",
"vertex_properties": [
{
"property_name": "name",
"property_value_template": "{emp_name}",
"property_value_type": "String"
}
]
}
]
},
{
"rule_id": "2",
"rule_name": "edge_mapping_rule_from_emp",
"table_name": "nodes",
"edge_definitions": [
{
"from_vertex": {
"vertex_id_template": "{emp_id}",
"vertex_definition_id": "1"
},
"to_vertex": {
"vertex_id_template": "{mgr_id}",
"vertex_definition_id": "1"
},
"edge_id_template": {
"label": "reportsTo",
"template": "{emp_id}_{mgr_id}"
},
"edge_properties":[
{
"property_name": "team",
"property_value_template": "{team}",
"property_value_type": "String"
}
]
}
]
}
]
}