DATAGRAPH-765 - Document fix ambiguous mappings.
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@@ -55,7 +55,7 @@ In keeping with the Spring Data ethos, an operations interface is used to define
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== Mapping Strategies
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Because Neo4j is a schema-free database, Spring Data Neo4j uses a simple mechanism to map Java types to Neo4j nodes using labels.
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How that works is explained here: <<reference_programming_model_typerepresentationstrategy,Entity Type Representation>>.
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How that works is explained here: <<reference_programming-model_simple-mapping,Simplified Object Graph Mapping>>.
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== Transactional Support
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Neo4j uses transactions to guarantee the integrity of your data and Spring Data Neo4j supports this fully.
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@@ -151,3 +151,13 @@ Thanks to changes in the underlying object-graph mapping mechanism, this is no l
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However, please be aware that this will only work because the end node types (Car and Pet) are different types.
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If you wanted a person to own two cars, for example, then you'd have to use a `Collection` of cars or use differently-named relationship types.
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[[reference_programming_model_relationships_ambiguity]]
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== Ambiguity in relationships
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In cases where the relationship mappings could be ambiguous, the recommendation is that
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* the objects be navigable in both directions and
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* the @Relationship annotations are explicit. This means if the entity has setter methods, they must be annotated
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Examples of ambiguous relationship mappings are multiple relationship types that resolve to the same types of entities, in a given direction, but whose domain objects are not navigable in both directions.
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