forked from D-Net/dnet-hadoop
moved the version as it was before the change
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99ac5bab46
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@ -72,33 +72,28 @@ public class PrepareResultCommunitySet {
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String outputPath,
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OrganizationMap organizationMap) {
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Dataset<Relation> relationAffiliation = readPath(spark, inputPath, Relation.class)
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.filter(
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(FilterFunction<Relation>) r -> !r.getDataInfo().getDeletedbyinference() &&
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r.getRelClass().equalsIgnoreCase(ModelConstants.HAS_AUTHOR_INSTITUTION));
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Dataset<Relation> relation = readPath(spark, inputPath, Relation.class);
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relation.createOrReplaceTempView("relation");
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Dataset<Relation> relationOrganization = readPath(spark, inputPath, Relation.class)
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.filter(
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(FilterFunction<Relation>) r -> !r.getDataInfo().getDeletedbyinference() &&
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r.getRelClass().equalsIgnoreCase(ModelConstants.MERGES));
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String query = "SELECT result_organization.source resultId, result_organization.target orgId, org_set merges "
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+ "FROM (SELECT source, target "
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+ " FROM relation "
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+ " WHERE datainfo.deletedbyinference = false "
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+ " AND lower(relClass) = '"
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+ ModelConstants.HAS_AUTHOR_INSTITUTION.toLowerCase()
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+ "') result_organization "
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+ "LEFT JOIN (SELECT source, collect_set(target) org_set "
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+ " FROM relation "
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+ " WHERE datainfo.deletedbyinference = false "
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+ " AND lower(relClass) = '"
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+ ModelConstants.MERGES.toLowerCase()
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+ "' "
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+ " GROUP BY source) organization_organization "
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+ "ON result_organization.target = organization_organization.source ";
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Dataset<ResultOrganizations> result_organizationset = relationAffiliation
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.joinWith(
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relationOrganization,
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relationAffiliation.col("target").equalTo(relationOrganization.col("source")),
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"left")
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.groupByKey((MapFunction<Tuple2<Relation, Relation>, String>) t2 -> t2._2().getSource(), Encoders.STRING())
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.mapGroups((MapGroupsFunction<String, Tuple2<Relation, Relation>, ResultOrganizations>) (k, it) -> {
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ResultOrganizations rOrgs = new ResultOrganizations();
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rOrgs.setOrgId(k);
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Tuple2<Relation, Relation> first = it.next();
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rOrgs.setResultId(first._1().getSource());
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ArrayList<String> merges = new ArrayList<>();
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merges.add(first._2().getTarget());
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it.forEachRemaining(t -> merges.add(t._2().getTarget()));
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rOrgs.setMerges(merges);
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return rOrgs;
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}, Encoders.bean(ResultOrganizations.class));
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Dataset<ResultOrganizations> result_organizationset = spark
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.sql(query)
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.as(Encoders.bean(ResultOrganizations.class));
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result_organizationset
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.map(mapResultCommunityFn(organizationMap), Encoders.bean(ResultCommunityList.class))
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