forked from D-Net/dnet-hadoop
new implementation for country propagatio
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@ -53,14 +53,18 @@ public class SparkCountryPropagationJob {
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List<String> whitelist = Arrays.asList(parser.get("whitelist").split(";"));
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List<String> whitelist = Arrays.asList(parser.get("whitelist").split(";"));
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List<String> allowedtypes = Arrays.asList(parser.get("allowedtypes").split(";"));
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List<String> allowedtypes = Arrays.asList(parser.get("allowedtypes").split(";"));
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boolean writeUpdates = TRUE.equals(parser.get("writeUpdate"));
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boolean saveGraph = TRUE.equals(parser.get("saveGraph"));
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// datasource(spark, whitelist, outputPath, inputPath, "true".equals(parser.get("writeUpdate")),
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// "true".equals(parser.get("saveGraph")), allowedtypes);
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//
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// }
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//
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//
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// private static void datasource(SparkSession spark, List<String> whitelist, String outputPath, String inputPath,
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// boolean writeUpdates, boolean saveGraph, List<String> allowedtypes){
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datasource(spark, whitelist, outputPath, inputPath);
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}
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private static void datasource(SparkSession spark, List<String> whitelist, String outputPath, String inputPath){
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String whitelisted = "";
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String whitelisted = "";
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for (String i : whitelist){
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for (String i : whitelist){
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whitelisted += " OR id = '" + i + "'";
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whitelisted += " OR id = '" + i + "'";
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@ -78,7 +82,7 @@ public class SparkCountryPropagationJob {
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.map(item -> new ObjectMapper().readValue(item, Organization.class)).rdd(), Encoders.bean(Organization.class));
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.map(item -> new ObjectMapper().readValue(item, Organization.class)).rdd(), Encoders.bean(Organization.class));
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Dataset<eu.dnetlib.dhp.schema.oaf.Dataset> dataset = spark.createDataset(sc.textFile(inputPath + "/dataset")
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Dataset<eu.dnetlib.dhp.schema.oaf.Dataset> dataset = spark.createDataset(sc.textFile(inputPath + "/dataset")
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.map(item -> new ObjectMapper().readValue(item, eu.dnetlib.dhp.schema.oaf.Dataset.class)).rdd(),
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.map(item -> new ObjectMapper().readValue(item, eu.dnetlib.dhp.schema.oaf.Dataset.class)).rdd(),
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Encoders.bean(eu.dnetlib.dhp.schema.oaf.Dataset.class));
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Encoders.bean(eu.dnetlib.dhp.schema.oaf.Dataset.class));
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Dataset<OtherResearchProduct> other = spark.createDataset(sc.textFile(inputPath + "/otherresearchproduct")
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Dataset<OtherResearchProduct> other = spark.createDataset(sc.textFile(inputPath + "/otherresearchproduct")
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@ -96,26 +100,14 @@ public class SparkCountryPropagationJob {
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datasource.createOrReplaceTempView("datasource");
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datasource.createOrReplaceTempView("datasource");
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relation.createOrReplaceTempView("relation");
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relation.createOrReplaceTempView("relation");
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organization.createOrReplaceTempView("organization");
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organization.createOrReplaceTempView("organization");
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// String query = "SELECT source ds, target org, country.classid country " +
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// "FROM ( SELECT id " +
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// "FROM openaire.datasource " +
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// "WHERE datasourcetype.classid = 'pubsrepository::institutional' " +
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// "AND (datainfo.deletedbyinference = false " + whitelisted + ") ) d " +
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// "JOIN ( SELECT source, target " +
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// "FROM openaire.relation " +
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// "WHERE relclass = 'provides' " +
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// "AND datainfo.deletedbyinference = false ) rel " +
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// "ON d.id = rel.source " +
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// "JOIN (SELECT id, country " +
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// "FROM openaire.organization " +
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// "WHERE datainfo.deletedbyinference = false ) o " +
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// "ON o.id = rel.target";
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String query = "SELECT source ds, target org, country.classid country " +
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String query = "SELECT source ds, target org, country.classid country " +
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"FROM ( SELECT id " +
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"FROM ( SELECT id " +
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"FROM datasource " +
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"FROM datasource " +
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"WHERE datasourcetype.classid = 'pubsrepository::institutional' " +
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"WHERE (datainfo.deletedbyinference = false " + whitelisted + ") " +
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"AND (datainfo.deletedbyinference = false " + whitelisted + ") ) d " +
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getConstraintList("datasourcetype.classid = '", allowedtypes) +
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// "datasourcetype.classid = 'pubsrepository::institutional' " +
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// "AND (datainfo.deletedbyinference = false " + whitelisted + ") ) d " +
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"JOIN ( SELECT source, target " +
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"JOIN ( SELECT source, target " +
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"FROM relation " +
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"FROM relation " +
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"WHERE relclass = 'provides' " +
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"WHERE relclass = 'provides' " +
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@ -141,23 +133,27 @@ public class SparkCountryPropagationJob {
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publication.createOrReplaceTempView("publication");
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publication.createOrReplaceTempView("publication");
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final JavaRDD<Row> toupdateresultpublication = propagateOnResult(spark, "publication");
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final JavaRDD<Row> toupdateresultpublication = propagateOnResult(spark, "publication");
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writeUpdates(toupdateresultsoftware, toupdateresultdataset, toupdateresultother, toupdateresultpublication, outputPath);
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if(writeUpdates){
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writeUpdates(toupdateresultsoftware, toupdateresultdataset, toupdateresultother, toupdateresultpublication, outputPath);
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}
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createUpdateForSoftwareDataset(toupdateresultsoftware, inputPath, spark)
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if(saveGraph){
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.map(s -> new ObjectMapper().writeValueAsString(s))
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createUpdateForSoftwareDataset(toupdateresultsoftware, inputPath, spark)
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.saveAsTextFile(outputPath + "/software");
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.map(s -> new ObjectMapper().writeValueAsString(s))
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.saveAsTextFile(outputPath + "/software");
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createUpdateForDatasetDataset(toupdateresultdataset,inputPath,spark)
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createUpdateForDatasetDataset(toupdateresultdataset,inputPath,spark)
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.map(d -> new ObjectMapper().writeValueAsString(d))
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.map(d -> new ObjectMapper().writeValueAsString(d))
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.saveAsTextFile(outputPath + "/dataset");
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.saveAsTextFile(outputPath + "/dataset");
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createUpdateForOtherDataset(toupdateresultother, inputPath, spark)
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createUpdateForOtherDataset(toupdateresultother, inputPath, spark)
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.map(o -> new ObjectMapper().writeValueAsString(o))
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.map(o -> new ObjectMapper().writeValueAsString(o))
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.saveAsTextFile(outputPath + "/otherresearchproduct");
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.saveAsTextFile(outputPath + "/otherresearchproduct");
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createUpdateForPublicationDataset(toupdateresultpublication, inputPath, spark)
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createUpdateForPublicationDataset(toupdateresultpublication, inputPath, spark)
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.map(p -> new ObjectMapper().writeValueAsString(p))
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.map(p -> new ObjectMapper().writeValueAsString(p))
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.saveAsTextFile(outputPath + "/publication");
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.saveAsTextFile(outputPath + "/publication");
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}
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}
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}
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@ -276,9 +272,9 @@ public class SparkCountryPropagationJob {
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String query;
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String query;
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query = "SELECT id, inst.collectedfrom.key cf , inst.hostedby.key hb " +
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query = "SELECT id, inst.collectedfrom.key cf , inst.hostedby.key hb " +
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"FROM ( SELECT id, instance " +
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"FROM ( SELECT id, instance " +
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"FROM " + table +
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"FROM " + table +
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" WHERE datainfo.deletedbyinference = false) ds " +
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" WHERE datainfo.deletedbyinference = false) ds " +
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"LATERAL VIEW EXPLODE(instance) i AS inst";
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"LATERAL VIEW EXPLODE(instance) i AS inst";
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Dataset<Row> cfhb = spark.sql(query);
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Dataset<Row> cfhb = spark.sql(query);
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cfhb.createOrReplaceTempView("cfhb");
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cfhb.createOrReplaceTempView("cfhb");
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@ -334,4 +330,3 @@ public class SparkCountryPropagationJob {
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}
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}
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