changed relclass and reltype in reelation specification for country propagation and implementation of propagation of result affiliation through institutional repositories
This commit is contained in:
parent
ed262293a6
commit
b736a9581c
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@ -1,6 +1,7 @@
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package eu.dnetlib.dhp.countrypropagation;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.TypedRow;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.Dataset;
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@ -9,13 +10,14 @@ import org.apache.hadoop.io.Text;
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import org.apache.spark.api.java.JavaPairRDD;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.api.java.function.PairFunction;
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import org.apache.spark.sql.*;
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import scala.Tuple2;
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import java.io.File;
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import java.util.*;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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public class SparkCountryPropagationJob {
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public static void main(String[] args) throws Exception {
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@ -51,9 +53,10 @@ public class SparkCountryPropagationJob {
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JavaPairRDD<String, TypedRow> organization_datasource = sc.sequenceFile(inputPath + "/relation", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Relation.class))
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.filter(r -> !r.getDataInfo().getDeletedbyinference())
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.filter(r -> "datasourceOrganization".equals(r.getRelClass()) && "isProvidedBy".equals(r.getRelType()))
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.filter(r -> RELATION_DATASOURCEORGANIZATION_REL_TYPE.equals(r.getRelClass()) && RELATION_ORGANIZATION_DATASOURCE_REL_CLASS.equals(r.getRelType()))
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.map(r -> new TypedRow().setSourceId(r.getSource()).setTargetId(r.getTarget()))
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.mapToPair(toPair());
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.mapToPair(toPair()); //id is the organization identifier
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JavaPairRDD<String, TypedRow> datasources = sc.sequenceFile(inputPath + "/datasource", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Datasource.class))
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@ -72,7 +75,7 @@ public class SparkCountryPropagationJob {
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.map(item -> new ObjectMapper().readValue(item._2().toString(), OtherResearchProduct.class));
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JavaPairRDD<String, TypedRow> datasource_results = publications
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.map(oaf -> getTypedRows(oaf))
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.map(oaf -> getTypedRowsDatasourceResult(oaf))
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.flatMapToPair(f -> {
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ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
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for (TypedRow t : f) {
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@ -81,7 +84,7 @@ public class SparkCountryPropagationJob {
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return ret.iterator();
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})
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.union(datasets
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.map(oaf -> getTypedRows(oaf))
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.map(oaf -> getTypedRowsDatasourceResult(oaf))
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.flatMapToPair(f -> {
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ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
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for (TypedRow t : f) {
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@ -90,7 +93,7 @@ public class SparkCountryPropagationJob {
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return ret.iterator();
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}))
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.union(software
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.map(oaf -> getTypedRows(oaf))
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.map(oaf -> getTypedRowsDatasourceResult(oaf))
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.flatMapToPair(f -> {
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ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
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for (TypedRow t : f) {
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@ -99,7 +102,7 @@ public class SparkCountryPropagationJob {
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return ret.iterator();
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}))
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.union(other
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.map(oaf -> getTypedRows(oaf))
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.map(oaf -> getTypedRowsDatasourceResult(oaf))
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.flatMapToPair(f -> {
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ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
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for (TypedRow t : f) {
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@ -155,55 +158,53 @@ public class SparkCountryPropagationJob {
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results.leftOuterJoin(toupdateresult)
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.map(c -> {
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OafEntity oaf = c._2()._1();
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List<Qualifier> qualifierList = null;
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List<Country> countryList = null;
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if (oaf.getClass() == Publication.class) {
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qualifierList = ((Publication) oaf).getCountry();
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countryList = ((Publication) oaf).getCountry();
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}
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if (oaf.getClass() == Dataset.class){
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qualifierList = ((Dataset) oaf).getCountry();
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countryList = ((Dataset) oaf).getCountry();
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}
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if (oaf.getClass() == Software.class){
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qualifierList = ((Software) oaf).getCountry();
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countryList = ((Software) oaf).getCountry();
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}
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if (oaf.getClass() == OtherResearchProduct.class){
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qualifierList = ((OtherResearchProduct) oaf).getCountry();
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countryList = ((OtherResearchProduct) oaf).getCountry();
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}
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if (c._2()._2().isPresent()) {
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HashSet<String> countries = new HashSet<>();
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for (Qualifier country : qualifierList) {
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for (Qualifier country : countryList) {
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countries.add(country.getClassid());
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}
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TypedRow t = c._2()._2().get();
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for (String country : t.getCountry().split(";")) {
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if (!countries.contains(country)) {
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Qualifier q = new Qualifier();
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q.setClassid(country);
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qualifierList.add(q);
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countryList.add(getCountry(country));
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}
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}
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if (oaf.getClass() == Publication.class) {
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((Publication) oaf).setCountry(qualifierList);
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((Publication) oaf).setCountry(countryList);
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return (Publication) oaf;
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}
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if (oaf.getClass() == Dataset.class){
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((Dataset) oaf).setCountry(qualifierList);
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((Dataset) oaf).setCountry(countryList);
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return (Dataset) oaf;
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}
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if (oaf.getClass() == Software.class){
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((Software) oaf).setCountry(qualifierList);
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((Software) oaf).setCountry(countryList);
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return (Software) oaf;
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}
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if (oaf.getClass() == OtherResearchProduct.class){
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((OtherResearchProduct) oaf).setCountry(qualifierList);
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((OtherResearchProduct) oaf).setCountry(countryList);
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return (OtherResearchProduct) oaf;
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}
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}
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@ -215,40 +216,7 @@ public class SparkCountryPropagationJob {
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.saveAsTextFile(outputPath+"/"+type);
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}
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private static List<TypedRow> getTypedRows(OafEntity oaf) {
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List<TypedRow> lst = new ArrayList<>();
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Set<String> datasources_provenance = new HashSet<>();
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List<Instance> instanceList = null;
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String type = "";
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if (oaf.getClass() == Publication.class) {
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instanceList = ((Publication) oaf).getInstance();
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type = "publication";
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}
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if (oaf.getClass() == Dataset.class){
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instanceList = ((Dataset)oaf).getInstance();
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type = "dataset";
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}
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if (oaf.getClass() == Software.class){
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instanceList = ((Software)oaf).getInstance();
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type = "software";
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}
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if (oaf.getClass() == OtherResearchProduct.class){
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instanceList = ((OtherResearchProduct)oaf).getInstance();
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type = "otherresearchproduct";
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}
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for (Instance i : instanceList) {
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datasources_provenance.add(i.getCollectedfrom().getKey());
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datasources_provenance.add(i.getHostedby().getKey());
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}
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for (String dsId : datasources_provenance) {
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lst.add(new TypedRow().setSourceId(dsId).setTargetId(oaf.getId()).setType(type));
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}
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return lst;
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}
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private static JavaPairRDD<String, TypedRow> getResults(JavaSparkContext sc , String inputPath){
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@ -280,10 +248,6 @@ public class SparkCountryPropagationJob {
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private static PairFunction<TypedRow, String, TypedRow> toPair() {
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return e -> new Tuple2<>( e.getSourceId(), e);
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};
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}
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@ -1,11 +1,22 @@
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package eu.dnetlib.dhp.resulttoorganizationfrominstrepo;
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import eu.dnetlib.dhp.TypedRow;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.api.java.JavaPairRDD;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.sql.SparkSession;
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import org.apache.hadoop.io.Text;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import java.io.File;
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import java.util.ArrayList;
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import java.util.List;
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import eu.dnetlib.dhp.schema.oaf.*;
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import scala.Tuple2;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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public class SparkResultToOrganizationFromIstRepoJob {
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public static void main(String[] args) throws Exception {
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@ -28,78 +39,28 @@ public class SparkResultToOrganizationFromIstRepoJob {
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if (!directory.exists()) {
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directory.mkdirs();
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}
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}
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}
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/*
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package eu.dnetlib.dhp.countrypropagation;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.Dataset;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.Text;
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import org.apache.spark.api.java.JavaPairRDD;
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import org.apache.spark.api.java.JavaRDD;
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import org.apache.spark.api.java.JavaSparkContext;
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import org.apache.spark.api.java.Optional;
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import org.apache.spark.api.java.function.Function2;
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import org.apache.spark.api.java.function.PairFunction;
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import org.apache.spark.rdd.RDD;
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import org.apache.spark.sql.*;
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import scala.Tuple2;
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import java.io.File;
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import java.util.*;
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import java.util.stream.Stream;
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public class SparkCountryPropagationJob {
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public static void main(String[] args) throws Exception {
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(IOUtils.toString(SparkCountryPropagationJob.class.getResourceAsStream("/eu/dnetlib/dhp/countrypropagation/input_countrypropagation_parameters.json")));
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parser.parseArgument(args);
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final SparkSession spark = SparkSession
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.builder()
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.appName(SparkCountryPropagationJob.class.getSimpleName())
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.master(parser.get("master"))
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.enableHiveSupport()
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.getOrCreate();
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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final String inputPath = parser.get("sourcePath");
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final String outputPath = "/tmp/provision/propagation/countrytoresultfrominstitutionalrepositories";
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File directory = new File(outputPath);
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if(!directory.exists()){
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directory.mkdirs();
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}
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//TODO: add as Job Parameters
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List<String> whitelist = Arrays.asList("10|opendoar____::300891a62162b960cf02ce3827bb363c");
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List<String> allowedtypes = Arrays.asList("pubsrepository::institutional");
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JavaPairRDD<String, TypedRow> organizations = sc.sequenceFile(inputPath + "/organization", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Organization.class))
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.filter(org -> !org.getDataInfo().getDeletedbyinference())
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.map(org -> new TypedRow().setSourceId(org.getId()).setCountry(org.getCountry().getClassid()))
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.mapToPair(toPair());
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JavaPairRDD<String, TypedRow> organization_datasource = sc.sequenceFile(inputPath + "/relation", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Relation.class))
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.filter(r -> !r.getDataInfo().getDeletedbyinference())
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.filter(r -> "datasourceOrganization".equals(r.getRelClass()) && "isProvidedBy".equals(r.getRelType()))
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.map(r -> new TypedRow().setSourceId(r.getSource()).setTargetId(r.getTarget()))
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.mapToPair(toPair());
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//get the institutional repositories
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JavaPairRDD<String, TypedRow> datasources = sc.sequenceFile(inputPath + "/datasource", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Datasource.class))
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.filter(ds -> whitelist.contains(ds.getId()) || allowedtypes.contains(ds.getDatasourcetype().getClassid()))
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.filter(ds -> INSTITUTIONAL_REPO_TYPE.equals(ds.getDatasourcetype().getClassid()))
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.map(ds -> new TypedRow().setSourceId(ds.getId()))
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.mapToPair(toPair());
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JavaPairRDD<String, TypedRow> rel_datasource_organization = sc.sequenceFile(inputPath + "/relation", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Relation.class))
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.filter(r -> !r.getDataInfo().getDeletedbyinference())
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.filter(r -> RELATION_DATASOURCEORGANIZATION_REL_TYPE.equals(r.getRelClass()) && RELATION_DATASOURCE_ORGANIZATION_REL_CLASS.equals(r.getRelType()))
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.map(r -> new TypedRow().setSourceId(r.getSource()).setTargetId(r.getTarget()))
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.mapToPair(toPair());
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JavaPairRDD<String, TypedRow> instdatasource_organization = datasources.join(rel_datasource_organization)
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.map(x -> x._2()._2())
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.mapToPair(toPair());
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JavaRDD<Relation> relations = sc.sequenceFile(inputPath + "/relation", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Relation.class));
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JavaRDD<Publication> publications = sc.sequenceFile(inputPath + "/publication", Text.class, Text.class)
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.map(item -> new ObjectMapper().readValue(item._2().toString(), Publication.class));
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JavaRDD<Dataset> datasets = sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class)
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@ -110,7 +71,7 @@ public class SparkCountryPropagationJob {
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.map(item -> new ObjectMapper().readValue(item._2().toString(), OtherResearchProduct.class));
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JavaPairRDD<String, TypedRow> datasource_results = publications
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.map(oaf -> getTypedRows(oaf))
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.map(oaf -> getTypedRowsDatasourceResult(oaf))
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.flatMapToPair(f -> {
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ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
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for (TypedRow t : f) {
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@ -119,7 +80,7 @@ public class SparkCountryPropagationJob {
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return ret.iterator();
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})
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.union(datasets
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.map(oaf -> getTypedRows(oaf))
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.map(oaf -> getTypedRowsDatasourceResult(oaf))
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.flatMapToPair(f -> {
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ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
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for (TypedRow t : f) {
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@ -128,16 +89,16 @@ public class SparkCountryPropagationJob {
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return ret.iterator();
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}))
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.union(software
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.map(oaf -> getTypedRows(oaf))
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.flatMapToPair(f -> {
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ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
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for (TypedRow t : f) {
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ret.add(new Tuple2<>(t.getSourceId(), t));
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}
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return ret.iterator();
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}))
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.map(oaf -> getTypedRowsDatasourceResult(oaf))
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.flatMapToPair(f -> {
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ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
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for (TypedRow t : f) {
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ret.add(new Tuple2<>(t.getSourceId(), t));
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}
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return ret.iterator();
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}))
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.union(other
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.map(oaf -> getTypedRows(oaf))
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.map(oaf -> getTypedRowsDatasourceResult(oaf))
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.flatMapToPair(f -> {
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ArrayList<Tuple2<String, TypedRow>> ret = new ArrayList<>();
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for (TypedRow t : f) {
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@ -146,185 +107,23 @@ public class SparkCountryPropagationJob {
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return ret.iterator();
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}));
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JavaPairRDD<String, OafEntity> pubs = publications.mapToPair(p -> new Tuple2<>(p.getId(),p));
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JavaPairRDD<String, OafEntity> dss = datasets.mapToPair(p -> new Tuple2<>(p.getId(),p));
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JavaPairRDD<String, OafEntity> sfw = software.mapToPair(p -> new Tuple2<>(p.getId(),p));
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JavaPairRDD<String, OafEntity> orp = other.mapToPair(p -> new Tuple2<>(p.getId(),p));
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JavaPairRDD<String, TypedRow> datasource_country = organizations.join(organization_datasource)
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.map(x -> x._2()._1().setSourceId(x._2()._2().getTargetId())) // (OrganizationId,(TypedRow for Organization, TypedRow for Relation)
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.mapToPair(toPair()); //(DatasourceId, TypedRowforOrganziation)
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JavaPairRDD<String, TypedRow> alloweddatasources_country = datasources.join(datasource_country)
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.mapToPair(ds -> new Tuple2<>(ds._1(), ds._2()._2()));
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JavaPairRDD<String,TypedRow> toupdateresult = alloweddatasources_country.join(datasource_results)
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.map(u -> u._2()._2().setCountry(u._2()._1().getCountry()))
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.mapToPair(toPair())
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.reduceByKey((a, p) -> {
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if (a == null) {
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return p;
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}
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if (p == null) {
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return a;
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}
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HashSet<String> countries = new HashSet();
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countries.addAll(Arrays.asList(a.getCountry().split(";")));
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countries.addAll(Arrays.asList(p.getCountry().split(";")));
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String country = new String();
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for (String c : countries) {
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country += c + ";";
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}
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return a.setCountry(country);
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JavaRDD<Relation> newRels = instdatasource_organization.join(datasource_results)
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.flatMap(c -> {
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List<Relation> rels = new ArrayList();
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rels.add(getRelation(c._2()._1().getTargetId(), c._2()._2().getTargetId(), RELATION_ORGANIZATION_RESULT_REL_CLASS,
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RELATION_RESULTORGANIZATION_REL_TYPE, RELATION_RESULTORGANIZATION_SUBREL_TYPE, PROPAGATION_DATA_INFO_TYPE,
|
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PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID, PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
|
||||
rels.add(getRelation(c._2()._2().getTargetId(), c._2()._1().getTargetId(), RELATION_ORGANIZATION_RESULT_REL_CLASS,
|
||||
RELATION_RESULTORGANIZATION_REL_TYPE, RELATION_RESULTORGANIZATION_SUBREL_TYPE, PROPAGATION_DATA_INFO_TYPE,
|
||||
PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_ID, PROPAGATION_RELATION_RESULT_ORGANIZATION_INST_REPO_CLASS_NAME));
|
||||
return rels.iterator();
|
||||
});
|
||||
newRels.map(p -> new ObjectMapper().writeValueAsString(p))
|
||||
.saveAsTextFile(outputPath + "/relation_new");
|
||||
|
||||
updateResult(pubs, toupdateresult, outputPath, "publication");
|
||||
updateResult(dss, toupdateresult, outputPath, "dataset");
|
||||
updateResult(sfw, toupdateresult, outputPath, "software");
|
||||
updateResult(orp, toupdateresult, outputPath, "otherresearchproduct");
|
||||
//we use leftOuterJoin because we want to rebuild the entire structure
|
||||
|
||||
newRels.union(relations).map(p -> new ObjectMapper().writeValueAsString(p))
|
||||
.saveAsTextFile(outputPath + "/relation");
|
||||
}
|
||||
|
||||
private static void updateResult(JavaPairRDD<String, OafEntity> results, JavaPairRDD<String, TypedRow> toupdateresult, String outputPath, String type) {
|
||||
results.leftOuterJoin(toupdateresult)
|
||||
.map(c -> {
|
||||
OafEntity oaf = c._2()._1();
|
||||
List<Qualifier> qualifierList = null;
|
||||
if (oaf.getClass() == Publication.class) {
|
||||
qualifierList = ((Publication) oaf).getCountry();
|
||||
|
||||
}
|
||||
if (oaf.getClass() == Dataset.class){
|
||||
qualifierList = ((Dataset) oaf).getCountry();
|
||||
}
|
||||
|
||||
if (oaf.getClass() == Software.class){
|
||||
qualifierList = ((Software) oaf).getCountry();
|
||||
}
|
||||
|
||||
if (oaf.getClass() == OtherResearchProduct.class){
|
||||
qualifierList = ((OtherResearchProduct) oaf).getCountry();
|
||||
}
|
||||
|
||||
if (c._2()._2().isPresent()) {
|
||||
HashSet<String> countries = new HashSet<>();
|
||||
for (Qualifier country : qualifierList) {
|
||||
countries.add(country.getClassid());
|
||||
}
|
||||
TypedRow t = c._2()._2().get();
|
||||
|
||||
for (String country : t.getCountry().split(";")) {
|
||||
if (!countries.contains(country)) {
|
||||
Qualifier q = new Qualifier();
|
||||
q.setClassid(country);
|
||||
qualifierList.add(q);
|
||||
}
|
||||
|
||||
}
|
||||
if (oaf.getClass() == Publication.class) {
|
||||
((Publication) oaf).setCountry(qualifierList);
|
||||
return (Publication) oaf;
|
||||
|
||||
}
|
||||
if (oaf.getClass() == Dataset.class){
|
||||
((Dataset) oaf).setCountry(qualifierList);
|
||||
return (Dataset) oaf;
|
||||
}
|
||||
|
||||
if (oaf.getClass() == Software.class){
|
||||
((Software) oaf).setCountry(qualifierList);
|
||||
return (Software) oaf;
|
||||
}
|
||||
|
||||
if (oaf.getClass() == OtherResearchProduct.class){
|
||||
((OtherResearchProduct) oaf).setCountry(qualifierList);
|
||||
return (OtherResearchProduct) oaf;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
return null;
|
||||
})
|
||||
.map(p -> new ObjectMapper().writeValueAsString(p))
|
||||
.saveAsTextFile(outputPath+"/"+type);
|
||||
}
|
||||
|
||||
private static List<TypedRow> getTypedRows(OafEntity oaf) {
|
||||
List<TypedRow> lst = new ArrayList<>();
|
||||
Set<String> datasources_provenance = new HashSet<>();
|
||||
List<Instance> instanceList = null;
|
||||
String type = "";
|
||||
if (oaf.getClass() == Publication.class) {
|
||||
instanceList = ((Publication) oaf).getInstance();
|
||||
type = "publication";
|
||||
}
|
||||
if (oaf.getClass() == Dataset.class){
|
||||
instanceList = ((Dataset)oaf).getInstance();
|
||||
type = "dataset";
|
||||
}
|
||||
|
||||
if (oaf.getClass() == Software.class){
|
||||
instanceList = ((Software)oaf).getInstance();
|
||||
type = "software";
|
||||
}
|
||||
|
||||
if (oaf.getClass() == OtherResearchProduct.class){
|
||||
instanceList = ((OtherResearchProduct)oaf).getInstance();
|
||||
type = "otherresearchproduct";
|
||||
}
|
||||
|
||||
|
||||
for (Instance i : instanceList) {
|
||||
datasources_provenance.add(i.getCollectedfrom().getKey());
|
||||
datasources_provenance.add(i.getHostedby().getKey());
|
||||
}
|
||||
for (String dsId : datasources_provenance) {
|
||||
lst.add(new TypedRow().setSourceId(dsId).setTargetId(oaf.getId()).setType(type));
|
||||
}
|
||||
return lst;
|
||||
}
|
||||
|
||||
|
||||
private static JavaPairRDD<String, TypedRow> getResults(JavaSparkContext sc , String inputPath){
|
||||
|
||||
return
|
||||
sc.sequenceFile(inputPath + "/dataset", Text.class, Text.class)
|
||||
.map(item -> new ObjectMapper().readValue(item._2().toString(), Dataset.class))
|
||||
.filter(ds -> !ds.getDataInfo().getDeletedbyinference())
|
||||
.map(oaf -> new TypedRow().setType("dataset").setSourceId(oaf.getId()))
|
||||
.mapToPair(toPair())
|
||||
.union(sc.sequenceFile(inputPath + "/otherresearchproduct", Text.class, Text.class)
|
||||
.map(item -> new ObjectMapper().readValue(item._2().toString(), OtherResearchProduct.class))
|
||||
.filter(o -> !o.getDataInfo().getDeletedbyinference())
|
||||
.map(oaf -> new TypedRow().setType("otherresearchproduct").setSourceId(oaf.getId()))
|
||||
.mapToPair(toPair()))
|
||||
.union(sc.sequenceFile(inputPath + "/software", Text.class, Text.class)
|
||||
.map(item -> new ObjectMapper().readValue(item._2().toString(), Software.class))
|
||||
.filter(s -> !s.getDataInfo().getDeletedbyinference())
|
||||
.map(oaf -> new TypedRow().setType("software").setSourceId(oaf.getId()))
|
||||
.mapToPair(toPair()))
|
||||
.union(sc.sequenceFile(inputPath + "/publication", Text.class, Text.class)
|
||||
.map(item -> new ObjectMapper().readValue(item._2().toString(), Publication.class))
|
||||
.filter(p -> !p.getDataInfo().getDeletedbyinference())
|
||||
.map(oaf -> new TypedRow().setType("publication").setSourceId(oaf.getId()))
|
||||
.mapToPair(toPair()));
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
||||
private static PairFunction<TypedRow, String, TypedRow> toPair() {
|
||||
return e -> new Tuple2<>( e.getSourceId(), e);
|
||||
|
||||
};
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
*/
|
||||
Loading…
Reference in New Issue