115 lines
5.0 KiB
Java
115 lines
5.0 KiB
Java
package eu.dnetlib;
|
|
|
|
import eu.dnetlib.graph.GraphProcessor;
|
|
import eu.dnetlib.pace.config.DedupConfig;
|
|
import eu.dnetlib.pace.model.MapDocument;
|
|
import eu.dnetlib.pace.util.BlockProcessor;
|
|
import eu.dnetlib.pace.utils.PaceUtils;
|
|
import eu.dnetlib.reporter.SparkCounter;
|
|
import eu.dnetlib.reporter.SparkReporter;
|
|
import org.apache.spark.api.java.JavaPairRDD;
|
|
import org.apache.spark.api.java.JavaRDD;
|
|
import org.apache.spark.api.java.JavaSparkContext;
|
|
import org.apache.spark.graphx.Edge;
|
|
import org.apache.spark.rdd.RDD;
|
|
import org.apache.spark.sql.SparkSession;
|
|
import scala.Tuple2;
|
|
|
|
import java.net.URL;
|
|
import java.util.stream.Collectors;
|
|
|
|
public class SparkLocalTest {
|
|
public static SparkCounter counter ;
|
|
|
|
public static void main(String[] args) {
|
|
|
|
final SparkSession spark = SparkSession
|
|
.builder()
|
|
.appName("Deduplication")
|
|
.master("local[*]")
|
|
.getOrCreate();
|
|
|
|
final JavaSparkContext context = new JavaSparkContext(spark.sparkContext());
|
|
|
|
final URL dataset = SparkTest.class.getResource("/eu/dnetlib/pace/organization.to.fix.json");
|
|
final JavaRDD<String> dataRDD = context.textFile(dataset.getPath());
|
|
|
|
counter = new SparkCounter(context);
|
|
|
|
//read the configuration from the classpath
|
|
final DedupConfig config = DedupConfig.load(Utility.readFromClasspath("/eu/dnetlib/pace/org.curr.conf"));
|
|
|
|
BlockProcessor.constructAccumulator(config);
|
|
BlockProcessor.accumulators.forEach(acc -> {
|
|
|
|
final String[] values = acc.split("::");
|
|
counter.incrementCounter(values[0], values[1], 0);
|
|
|
|
});
|
|
|
|
//create vertexes of the graph: <ID, MapDocument>
|
|
JavaPairRDD<String, MapDocument> mapDocs = dataRDD.mapToPair(it -> {
|
|
MapDocument mapDocument = PaceUtils.asMapDocument(config, it);
|
|
return new Tuple2<>(mapDocument.getIdentifier(), mapDocument);
|
|
});
|
|
RDD<Tuple2<Object, MapDocument>> vertexes = mapDocs.mapToPair(t -> new Tuple2<Object, MapDocument>( (long) t._1().hashCode(), t._2())).rdd();
|
|
|
|
//create relations between documents
|
|
JavaPairRDD<String, Iterable<MapDocument>> blocks = mapDocs.reduceByKey((a, b) -> a) //the reduce is just to be sure that we haven't document with same id
|
|
//Clustering: from <id, doc> to List<groupkey,doc>
|
|
.flatMapToPair(a -> {
|
|
final MapDocument currentDocument = a._2();
|
|
|
|
return Utility.getGroupingKeys(config, currentDocument).stream()
|
|
.map(it -> new Tuple2<>(it, currentDocument)).collect(Collectors.toList()).iterator();
|
|
}).groupByKey();//group documents basing on the key
|
|
|
|
//print blocks
|
|
blocks.foreach(b -> {
|
|
String print = b._1() + ": ";
|
|
for (MapDocument doc : b._2()) {
|
|
print += doc.getIdentifier() + " ";
|
|
}
|
|
System.out.println(print);
|
|
});
|
|
|
|
//create relations by comparing only elements in the same group
|
|
final JavaPairRDD<String, String> relationRDD = blocks.flatMapToPair(it -> {
|
|
final SparkReporter reporter = new SparkReporter(counter);
|
|
new BlockProcessor(config).process(it._1(), it._2(), reporter);
|
|
return reporter.getReport().iterator();
|
|
});
|
|
|
|
final RDD<Edge<String>> edgeRdd = relationRDD.map(it -> new Edge<>(it._1().hashCode(),it._2().hashCode(), "similarTo")).rdd();
|
|
|
|
JavaRDD<ConnectedComponent> ccs = GraphProcessor.findCCs(vertexes, edgeRdd, 20).toJavaRDD();
|
|
|
|
final JavaRDD<ConnectedComponent> connectedComponents = ccs.filter(cc -> cc.getDocs().size()>1);
|
|
final JavaRDD<ConnectedComponent> nonDeduplicated = ccs.filter(cc -> cc.getDocs().size()==1);
|
|
|
|
System.out.println("Non duplicates: " + nonDeduplicated.count());
|
|
System.out.println("Duplicates: " + connectedComponents.flatMap(cc -> cc.getDocs().iterator()).count());
|
|
System.out.println("Connected Components: " + connectedComponents.count());
|
|
|
|
counter.getAccumulators().values().forEach(it-> System.out.println(it.getGroup()+" "+it.getName()+" -->"+it.value()));
|
|
|
|
//print deduped
|
|
connectedComponents.foreach(cc -> {
|
|
System.out.println("cc = " + cc.getId());
|
|
for (MapDocument doc: cc.getDocs()) {
|
|
System.out.println(doc.getIdentifier() + "; ln: " + doc.getFieldMap().get("legalname").stringValue() + "; sn: " + doc.getFieldMap().get("legalshortname").stringValue());
|
|
}
|
|
});
|
|
//print nondeduped
|
|
nonDeduplicated.foreach(cc -> {
|
|
System.out.println("nd = " + cc.getId());
|
|
System.out.println(cc.getDocs().iterator().next().getFieldMap().get("legalname").stringValue() + "; sn: " + cc.getDocs().iterator().next().getFieldMap().get("legalshortname").stringValue());
|
|
});
|
|
|
|
//print ids
|
|
//// ccs.foreach(cc -> System.out.println(cc.getId()));
|
|
//// connectedComponents.saveAsTextFile("file:///Users/miconis/Downloads/dumps/organizations_dedup");
|
|
|
|
}
|
|
|
|
} |