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Deduper class (utilities for dedup) cleaned. Useless methods removed

This commit is contained in:
miconis 2020-04-16 12:36:37 +02:00
parent 6a089ec287
commit 0eccbc318b
5 changed files with 36 additions and 129 deletions
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117
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/Deduper.java
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@ -4,8 +4,6 @@ import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.BlockProcessor;
import eu.dnetlib.pace.util.MapDocumentUtil;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
@ -13,59 +11,32 @@ import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFlatMapFunction;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.util.LongAccumulator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import scala.Serializable;
import scala.Tuple2;
import java.util.*;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
public class Deduper implements Serializable {
private static final Log log = LogFactory.getLog(Deduper.class);
/**
* @return the list of relations generated by the deduplication
* @param: the spark context
* @param: list of JSON entities to be deduped
* @param: the dedup configuration
*/
public static JavaPairRDD<String, String> dedup(JavaSparkContext context, JavaRDD<String> entities, DedupConfig config) {
private static final Logger log = LoggerFactory.getLogger(Deduper.class);
public static JavaPairRDD<String, String> computeRelations(JavaSparkContext context, JavaPairRDD<String, List<MapDocument>> blocks, DedupConfig config) {
Map<String, LongAccumulator> accumulators = DedupUtility.constructAccumulator(config, context.sc());
//create vertexes of the graph: <ID, MapDocument>
JavaPairRDD<String, MapDocument> mapDocs = mapToVertexes(context, entities, config);
//create blocks for deduplication
JavaPairRDD<String, Iterable<MapDocument>> blocks = createBlocks(context, mapDocs, config);
//create relations by comparing only elements in the same group
return computeRelations(context, blocks, config);
// final RDD<Edge<String>> edgeRdd = relationRDD.map(it -> new Edge<>(it._1().hashCode(), it._2().hashCode(), "equalTo")).rdd();
//
// RDD<Tuple2<Object, MapDocument>> vertexes = mapDocs.mapToPair((PairFunction<Tuple2<String, MapDocument>, Object, MapDocument>) t -> new Tuple2<Object, MapDocument>((long) t._1().hashCode(), t._2())).rdd();
// accumulators.forEach((name, acc) -> log.info(name + " -> " + acc.value()));
//
// return GraphProcessor.findCCs(vertexes, edgeRdd, 20).toJavaRDD();
}
/**
* @return the list of relations generated by the deduplication
* @param: the spark context
* @param: list of blocks
* @param: the dedup configuration
*/
public static JavaPairRDD<String, String> computeRelations(JavaSparkContext context, JavaPairRDD<String, Iterable<MapDocument>> blocks, DedupConfig config) {
Map<String, LongAccumulator> accumulators = DedupUtility.constructAccumulator(config, context.sc());
return blocks.flatMapToPair((PairFlatMapFunction<Tuple2<String, Iterable<MapDocument>>, String, String>) it -> {
return blocks.flatMapToPair((PairFlatMapFunction<Tuple2<String, List<MapDocument>>, String, String>) it -> {
try {
final SparkReporter reporter = new SparkReporter(accumulators);
new BlockProcessor(config).process(it._1(), it._2(), reporter);
new BlockProcessor(config).processSortedBlock(it._1(), it._2(), reporter);
return reporter.getRelations().iterator();
} catch (Exception e) {
throw new RuntimeException(it._2().get(0).getIdentifier(), e);
}
}).mapToPair(
(PairFunction<Tuple2<String, String>, String, Tuple2<String, String>>) item ->
new Tuple2<String, Tuple2<String, String>>(item._1() + item._2(), item))
@ -73,30 +44,7 @@ public class Deduper implements Serializable {
.mapToPair((PairFunction<Tuple2<String, Tuple2<String, String>>, String, String>) Tuple2::_2);
}
/**
* @return the list of blocks based on clustering of dedup configuration
* @param: the spark context
* @param: list of entities: <id, entity>
* @param: the dedup configuration
*/
public static JavaPairRDD<String, Iterable<MapDocument>> createBlocks(JavaSparkContext context, JavaPairRDD<String, MapDocument> mapDocs, DedupConfig config) {
return mapDocs
//the reduce is just to be sure that we haven't document with same id
.reduceByKey((a, b) -> a)
.map(Tuple2::_2)
//Clustering: from <id, doc> to List<groupkey,doc>
.flatMapToPair((PairFlatMapFunction<MapDocument, String, MapDocument>) a ->
DedupUtility.getGroupingKeys(config, a)
.stream()
.map(it -> new Tuple2<>(it, a))
.collect(Collectors.toList())
.iterator())
.groupByKey();
}
public static JavaPairRDD<String, List<MapDocument>> createsortedBlocks(JavaSparkContext context, JavaPairRDD<String, MapDocument> mapDocs, DedupConfig config) {
public static JavaPairRDD<String, List<MapDocument>> createSortedBlocks(JavaSparkContext context, JavaPairRDD<String, MapDocument> mapDocs, DedupConfig config) {
final String of = config.getWf().getOrderField();
final int maxQueueSize = config.getWf().getGroupMaxSize();
return mapDocs
@ -123,39 +71,4 @@ public class Deduper implements Serializable {
return v1;
});
}
/**
* @return the list of vertexes: <id, mapDocument>
* @param: the spark context
* @param: list of JSON entities
* @param: the dedup configuration
*/
public static JavaPairRDD<String, MapDocument> mapToVertexes(JavaSparkContext context, JavaRDD<String> entities, DedupConfig config) {
return entities.mapToPair((PairFunction<String, String, MapDocument>) s -> {
MapDocument mapDocument = MapDocumentUtil.asMapDocumentWithJPath(config, s);
return new Tuple2<String, MapDocument>(mapDocument.getIdentifier(), mapDocument);
});
}
public static JavaPairRDD<String, String> computeRelations2(JavaSparkContext context, JavaPairRDD<String, List<MapDocument>> blocks, DedupConfig config) {
Map<String, LongAccumulator> accumulators = DedupUtility.constructAccumulator(config, context.sc());
return blocks.flatMapToPair((PairFlatMapFunction<Tuple2<String, List<MapDocument>>, String, String>) it -> {
try {
final SparkReporter reporter = new SparkReporter(accumulators);
new BlockProcessor(config).processSortedBlock(it._1(), it._2(), reporter);
return reporter.getRelations().iterator();
} catch (Exception e) {
throw new RuntimeException(it._2().get(0).getIdentifier(), e);
}
}).mapToPair(
(PairFunction<Tuple2<String, String>, String, Tuple2<String, String>>) item ->
new Tuple2<String, Tuple2<String, String>>(item._1() + item._2(), item))
.reduceByKey((a, b) -> a)
.mapToPair((PairFunction<Tuple2<String, Tuple2<String, String>>, String, String>) Tuple2::_2);
}
}

9
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCreateDedupRecord.java
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@ -8,21 +8,20 @@ import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig;
import org.apache.commons.io.IOUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.dom4j.DocumentException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
public class SparkCreateDedupRecord extends AbstractSparkAction {
private static final Log log = LogFactory.getLog(SparkCreateDedupRecord.class);
private static final Logger log = LoggerFactory.getLogger(SparkCreateDedupRecord.class);
public SparkCreateDedupRecord(ArgumentApplicationParser parser, SparkSession spark) throws Exception {
public SparkCreateDedupRecord(ArgumentApplicationParser parser, SparkSession spark) {
super(parser, spark);
}

8
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCreateMergeRels.java
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@ -11,8 +11,6 @@ import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.util.MapDocumentUtil;
import org.apache.commons.io.IOUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
@ -24,6 +22,8 @@ import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.dom4j.DocumentException;
import scala.Tuple2;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.util.ArrayList;
@ -32,9 +32,9 @@ import java.util.List;
public class SparkCreateMergeRels extends AbstractSparkAction {
private static final Log log = LogFactory.getLog(SparkCreateMergeRels.class);
private static final Logger log = LoggerFactory.getLogger(SparkCreateMergeRels.class);
public SparkCreateMergeRels(ArgumentApplicationParser parser, SparkSession spark) throws Exception {
public SparkCreateMergeRels(ArgumentApplicationParser parser, SparkSession spark) {
super(parser, spark);
}

19
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCreateSimRels.java
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@ -12,33 +12,26 @@ import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.MapDocumentUtil;
import org.apache.commons.io.IOUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.io.Text;
import org.apache.spark.SparkConf;
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.api.java.function.PairFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.Element;
import org.dom4j.io.SAXReader;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import scala.Tuple2;
import java.io.IOException;
import java.io.Serializable;
import java.io.StringReader;
import java.util.ArrayList;
import java.util.List;
public class SparkCreateSimRels extends AbstractSparkAction {
private static final Log log = LogFactory.getLog(SparkCreateSimRels.class);
private static final Logger log = LoggerFactory.getLogger(SparkCreateSimRels.class);
public SparkCreateSimRels(ArgumentApplicationParser parser, SparkSession spark) throws Exception {
public SparkCreateSimRels(ArgumentApplicationParser parser, SparkSession spark) {
super(parser, spark);
}
@ -81,10 +74,10 @@ public class SparkCreateSimRels extends AbstractSparkAction {
});
//create blocks for deduplication
JavaPairRDD<String, List<MapDocument>> blocks = Deduper.createsortedBlocks(sc, mapDocument, dedupConf);
JavaPairRDD<String, List<MapDocument>> blocks = Deduper.createSortedBlocks(sc, mapDocument, dedupConf);
//create relations by comparing only elements in the same group
final JavaPairRDD<String, String> dedupRels = Deduper.computeRelations2(sc, blocks, dedupConf);
final JavaPairRDD<String, String> dedupRels = Deduper.computeRelations(sc, blocks, dedupConf);
JavaRDD<Relation> relationsRDD = dedupRels.map(r -> createSimRel(r._1(), r._2(), entity));

8
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkUpdateEntity.java
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@ -22,6 +22,8 @@ import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import scala.Tuple2;
import java.io.IOException;
@ -29,11 +31,11 @@ import java.io.Serializable;
public class SparkUpdateEntity extends AbstractSparkAction {
private static final Logger log = LoggerFactory.getLogger(SparkUpdateEntity.class);
final String IDJSONPATH = "$.id";
private static final Log log = LogFactory.getLog(SparkUpdateEntity.class);
public SparkUpdateEntity(ArgumentApplicationParser parser, SparkSession spark) throws Exception {
public SparkUpdateEntity(ArgumentApplicationParser parser, SparkSession spark) {
super(parser, spark);
}