forked from D-Net/dnet-hadoop
Merge remote-tracking branch 'origin/stable_ids' into stable_ids
This commit is contained in:
commit
3ae67b7a1d
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@ -22,6 +22,7 @@ import eu.dnetlib.dhp.schema.oaf.Relation;
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import eu.dnetlib.dhp.utils.ISLookupClientFactory;
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import eu.dnetlib.dhp.utils.ISLookupClientFactory;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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import scala.Tuple2;
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import scala.Tuple2;
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import scala.Tuple3;
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public class SparkPropagateRelation extends AbstractSparkAction {
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public class SparkPropagateRelation extends AbstractSparkAction {
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@ -85,13 +86,7 @@ public class SparkPropagateRelation extends AbstractSparkAction {
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Dataset<Relation> rels = spark.read().textFile(relationPath).map(patchRelFn(), Encoders.bean(Relation.class));
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Dataset<Relation> rels = spark.read().textFile(relationPath).map(patchRelFn(), Encoders.bean(Relation.class));
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Dataset<Relation> newRels = processDataset(
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Dataset<Relation> newRels = createNewRels(rels, mergedIds, getFixRelFn());
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processDataset(rels, mergedIds, FieldType.SOURCE, getFixRelFn(FieldType.SOURCE)),
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mergedIds,
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FieldType.TARGET,
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getFixRelFn(FieldType.TARGET))
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.filter(SparkPropagateRelation::containsDedup)
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.distinct();
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Dataset<Relation> updated = processDataset(
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Dataset<Relation> updated = processDataset(
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processDataset(rels, mergedIds, FieldType.SOURCE, getDeletedFn()),
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processDataset(rels, mergedIds, FieldType.SOURCE, getDeletedFn()),
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@ -120,6 +115,29 @@ public class SparkPropagateRelation extends AbstractSparkAction {
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.map((MapFunction<Tuple2<String, Relation>, Relation>) t -> t._2(), Encoders.bean(Relation.class));
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.map((MapFunction<Tuple2<String, Relation>, Relation>) t -> t._2(), Encoders.bean(Relation.class));
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}
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}
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private static Dataset<Relation> createNewRels(
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Dataset<Relation> rels,
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Dataset<Tuple2<String, String>> mergedIds,
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MapFunction<Tuple2<Tuple2<Tuple3<String, Relation, String>, Tuple2<String, String>>, Tuple2<String, String>>, Relation> mapRel) {
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Dataset<Tuple3<String, Relation, String>> mapped = rels
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.map(
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(MapFunction<Relation, Tuple3<String, Relation, String>>) r -> new Tuple3<>(getId(r, FieldType.SOURCE),
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r, getId(r, FieldType.TARGET)),
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Encoders.tuple(Encoders.STRING(), Encoders.kryo(Relation.class), Encoders.STRING()));
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Dataset<Tuple2<Tuple3<String, Relation, String>, Tuple2<String, String>>> relSource = mapped
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.joinWith(mergedIds, mapped.col("_1").equalTo(mergedIds.col("_1")), "left_outer");
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return relSource
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.joinWith(mergedIds, relSource.col("_1._3").equalTo(mergedIds.col("_2")), "left_outer")
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.filter(
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(FilterFunction<Tuple2<Tuple2<Tuple3<String, Relation, String>, Tuple2<String, String>>, Tuple2<String, String>>>) r -> r
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._2() != null || r._1() != null)
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.map(mapRel, Encoders.bean(Relation.class))
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.distinct();
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}
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private static Dataset<Relation> processDataset(
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private static Dataset<Relation> processDataset(
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Dataset<Relation> rels,
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Dataset<Relation> rels,
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Dataset<Tuple2<String, String>> mergedIds,
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Dataset<Tuple2<String, String>> mergedIds,
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@ -153,28 +171,25 @@ public class SparkPropagateRelation extends AbstractSparkAction {
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}
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}
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}
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}
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private static MapFunction<Tuple2<Tuple2<String, Relation>, Tuple2<String, String>>, Relation> getFixRelFn(
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private static MapFunction<Tuple2<Tuple2<Tuple3<String, Relation, String>, Tuple2<String, String>>, Tuple2<String, String>>, Relation> getFixRelFn() {
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FieldType type) {
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return value -> {
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return value -> {
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if (value._2() != null) {
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Relation r = value._1()._2();
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Relation r = value._1()._1()._2();
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String id = value._2()._2();
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String newSource = value._1()._2() != null ? value._1()._2()._2() : null;
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String newTarget = value._2() != null ? value._2()._2() : null;
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if (r.getDataInfo() == null) {
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if (r.getDataInfo() == null) {
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r.setDataInfo(new DataInfo());
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r.setDataInfo(new DataInfo());
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}
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}
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r.getDataInfo().setDeletedbyinference(false);
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r.getDataInfo().setDeletedbyinference(false);
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switch (type) {
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case SOURCE:
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if (newSource != null)
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r.setSource(id);
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r.setSource(newSource);
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if (newTarget != null)
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r.setTarget(newTarget);
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return r;
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return r;
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case TARGET:
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r.setTarget(id);
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return r;
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default:
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throw new IllegalArgumentException("");
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}
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}
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return value._1()._2();
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};
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};
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}
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}
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@ -192,8 +207,4 @@ public class SparkPropagateRelation extends AbstractSparkAction {
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};
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};
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}
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}
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private static boolean containsDedup(final Relation r) {
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return r.getSource().toLowerCase().contains(ModelConstants.DEDUP)
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|| r.getTarget().toLowerCase().contains(ModelConstants.DEDUP);
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}
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}
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}
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@ -12,6 +12,7 @@ import java.io.IOException;
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import java.io.Serializable;
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import java.io.Serializable;
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import java.net.URISyntaxException;
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import java.net.URISyntaxException;
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import java.nio.file.Paths;
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import java.nio.file.Paths;
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import java.util.List;
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import org.apache.commons.io.FileUtils;
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import org.apache.commons.io.FileUtils;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.io.IOUtils;
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@ -66,6 +67,7 @@ public class SparkDedupTest implements Serializable {
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testOutputBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
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testOutputBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
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.toAbsolutePath()
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.toAbsolutePath()
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.toString();
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.toString();
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testDedupGraphBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
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testDedupGraphBasePath = createTempDirectory(SparkDedupTest.class.getSimpleName() + "-")
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.toAbsolutePath()
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.toAbsolutePath()
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.toString();
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.toString();
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@ -534,7 +536,7 @@ public class SparkDedupTest implements Serializable {
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long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count();
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long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count();
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assertEquals(4862, relations);
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assertEquals(4718, relations);
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// check deletedbyinference
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// check deletedbyinference
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final Dataset<Relation> mergeRels = spark
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final Dataset<Relation> mergeRels = spark
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