dnet-hadoop/dhp-workflows/dhp-graph-provision
Claudio Atzori 211aa04726 allow orcid_pending to be percolate to the XML graph serialization 2020-12-09 18:08:51 +01:00
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src allow orcid_pending to be percolate to the XML graph serialization 2020-12-09 18:08:51 +01:00
README.md improved documentation in dhp-graph-provision 2020-11-10 11:48:55 +01:00
pom.xml spark complains about missing classes, so here they are again 2020-11-18 14:32:32 +01:00

README.md

Joins the graph nodes by resolving the links of distance = 1 to create an adjacency list of linked objects. The operation considers all the entity types (publication, dataset, software, ORP, project, datasource, organization, and all the possible relationships (similarity links produced by the Dedup process are excluded).

The operation is implemented by sequentially joining one entity type at time (E) with the relationships (R), and again by E, finally grouped by E.id;

The workflow is organized in different parts aimed to to reduce the complexity of the operation

  1. PrepareRelationsJob: only consider relationships that are not virtually deleted ($.dataInfo.deletedbyinference == false), each entity can be linked at most to 100 other objects

  2. CreateRelatedEntitiesJob: (phase 1): prepare tuples [relation - target entity] (R - T): for each entity type E_i map E_i as RelatedEntity T_i to simplify the model and extracting only the necessary information join (R.target = T_i.id) save the tuples (R_i, T_i) (phase 2): create the union of all the entity types E, hash by id read the tuples (R, T), hash by R.source join E.id = (R, T).source, where E becomes the Source Entity S save the tuples (S, R, T)

  3. AdjacencyListBuilderJob: given the tuple (S - R - T) we need to group by S.id -> List [ R - T ], mapping the result as JoinedEntity

  4. XmlConverterJob: convert the JoinedEntities as XML records