Dataset based implementation for SparkCountryPropagationJob3
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@ -4,10 +4,8 @@ package eu.dnetlib.dhp.countrypropagation;
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import static eu.dnetlib.dhp.PropagationConstant.*;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.ArrayList;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Optional;
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import java.util.*;
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import java.util.function.Function;
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import java.util.stream.Collectors;
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import org.apache.commons.io.IOUtils;
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@ -17,6 +15,7 @@ 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.MapFunction;
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import org.apache.spark.api.java.function.MapGroupsFunction;
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import org.apache.spark.sql.Dataset;
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import org.apache.spark.sql.Encoders;
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import org.apache.spark.sql.SaveMode;
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@ -27,6 +26,7 @@ import org.slf4j.LoggerFactory;
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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.common.ModelSupport;
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import eu.dnetlib.dhp.schema.oaf.Country;
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import eu.dnetlib.dhp.schema.oaf.KeyValue;
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import eu.dnetlib.dhp.schema.oaf.Result;
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@ -71,6 +71,7 @@ public class SparkCountryPropagationJob3 {
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Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
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SparkConf conf = new SparkConf();
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conf.registerKryoClasses(ModelSupport.getOafModelClasses());
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runWithSparkSession(
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conf,
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@ -96,50 +97,51 @@ public class SparkCountryPropagationJob3 {
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if (saveGraph) {
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// updateResultTable(spark, potentialUpdates, inputPath, resultClazz, outputPath);
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log.info("Reading Graph table from: {}", inputPath);
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final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
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JavaPairRDD<String, R> results = sc
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.textFile(inputPath)
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.map(r -> OBJECT_MAPPER.readValue(r, resultClazz))
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.mapToPair(r -> new Tuple2<>(r.getId(), r));
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JavaPairRDD<String, R> tmp = results.reduceByKey((r1, r2) -> {
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if (r1 == null) {
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return r2;
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}
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if (r2 == null) {
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return r1;
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}
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if (Optional.ofNullable(r1.getCollectedfrom()).isPresent()) {
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r1.setCountry(getUnionCountries(r1.getCountry(), r2.getCountry()));
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return r1;
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}
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if (Optional.ofNullable(r2.getCollectedfrom()).isPresent()) {
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r2.setCountry(getUnionCountries(r1.getCountry(), r2.getCountry()));
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return r2;
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}
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r1.setCountry(getUnionCountries(r1.getCountry(), r2.getCountry()));
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return r1;
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});
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tmp
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.map(c -> c._2())
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.map(r -> OBJECT_MAPPER.writeValueAsString(r))
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.saveAsTextFile(outputPath, GzipCodec.class);
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spark
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.read()
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.json(inputPath)
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.as(Encoders.kryo(resultClazz))
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.groupByKey((MapFunction<R, String>) result1 -> result1.getId(), Encoders.STRING())
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.mapGroups(getCountryMergeFn(resultClazz), Encoders.bean(resultClazz))
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.write()
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.option("compression", "gzip")
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.mode(SaveMode.Overwrite)
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.json(outputPath);
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}
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}
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private static List<Country> getUnionCountries(List<Country> country, List<Country> country1) {
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HashSet<String> countries = country
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.stream()
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.map(c -> c.getClassid())
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.collect(Collectors.toCollection(HashSet::new));
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country
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.addAll(
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country1
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.stream()
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.filter(c -> !(countries.contains(c.getClassid())))
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.collect(Collectors.toList()));
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return country;
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private static <R extends Result> MapGroupsFunction<String, R, R> getCountryMergeFn(Class<R> resultClazz) {
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return (MapGroupsFunction<String, R, R>) (key, values) -> {
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R res = resultClazz.newInstance();
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List<Country> countries = new ArrayList<>();
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values.forEachRemaining(r -> {
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res.mergeFrom(r);
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countries.addAll(r.getCountry());
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});
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res
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.setCountry(
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countries
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.stream()
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.collect(
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Collectors
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.toMap(
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Country::getClassid,
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Function.identity(),
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(c1, c2) -> {
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if (Optional
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.ofNullable(
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c1.getDataInfo().getInferenceprovenance())
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.isPresent()) {
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return c2;
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}
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return c1;
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}))
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.values()
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.stream()
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.collect(Collectors.toList()));
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return res;
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};
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}
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}
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@ -24,6 +24,7 @@
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<kill name="Kill">
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<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
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</kill>
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<action name="reset-outputpath">
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<fs>
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<delete path='${workingDir}/preparedInfo'/>
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@ -158,6 +159,7 @@
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.sql.shuffle.partitions=300
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</spark-opts>
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<arg>--sourcePath</arg><arg>${sourcePath}</arg>
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<arg>--whitelist</arg><arg>${whitelist}</arg>
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@ -191,11 +193,10 @@
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.dynamicAllocation.enabled=true
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--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
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--conf spark.speculation=false
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--conf spark.hadoop.mapreduce.map.speculative=false
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--conf spark.hadoop.mapreduce.reduce.speculative=false
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--sourcePath</arg><arg>${workingDir}/publication</arg>
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<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
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@ -221,11 +222,10 @@
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.dynamicAllocation.enabled=true
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--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
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--conf spark.speculation=false
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--conf spark.hadoop.mapreduce.map.speculative=false
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--conf spark.hadoop.mapreduce.reduce.speculative=false
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--sourcePath</arg><arg>${workingDir}/dataset</arg>
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<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
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@ -251,11 +251,10 @@
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.dynamicAllocation.enabled=true
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--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
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--conf spark.speculation=false
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--conf spark.hadoop.mapreduce.map.speculative=false
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--conf spark.hadoop.mapreduce.reduce.speculative=false
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--sourcePath</arg><arg>${workingDir}/otherresearchproduct</arg>
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<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
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@ -281,11 +280,10 @@
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.dynamicAllocation.enabled=true
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--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
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--conf spark.speculation=false
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--conf spark.hadoop.mapreduce.map.speculative=false
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--conf spark.hadoop.mapreduce.reduce.speculative=false
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--sourcePath</arg><arg>${workingDir}/software</arg>
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<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
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@ -313,15 +311,13 @@
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<class>eu.dnetlib.dhp.countrypropagation.SparkCountryPropagationJob3</class>
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<jar>dhp-propagation-${projectVersion}.jar</jar>
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<spark-opts>
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<!-- --executor-cores=${sparkExecutorCores}-->
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<!-- --executor-memory=${sparkExecutorMemory}-->
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--executor-cores=${sparkExecutorCores}
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--executor-memory=${sparkExecutorMemory}
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--driver-memory=${sparkDriverMemory}
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--conf spark.extraListeners=${spark2ExtraListeners}
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.dynamicAllocation.enabled=true
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<!-- --conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}-->
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--conf spark.speculation=false
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--conf spark.hadoop.mapreduce.map.speculative=false
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--conf spark.hadoop.mapreduce.reduce.speculative=false
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@ -351,11 +347,10 @@
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.dynamicAllocation.enabled=true
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--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
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--conf spark.speculation=false
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--conf spark.hadoop.mapreduce.map.speculative=false
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--conf spark.hadoop.mapreduce.reduce.speculative=false
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--sourcePath</arg><arg>${workingDir}/dataset</arg>
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<arg>--saveGraph</arg><arg>${saveGraph}</arg>
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@ -381,11 +376,10 @@
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.dynamicAllocation.enabled=true
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--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
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--conf spark.speculation=false
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--conf spark.hadoop.mapreduce.map.speculative=false
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--conf spark.hadoop.mapreduce.reduce.speculative=false
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--sourcePath</arg><arg>${workingDir}/otherresearchproduct</arg>
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<arg>--saveGraph</arg><arg>${saveGraph}</arg>
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@ -411,11 +405,10 @@
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--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
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--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
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--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
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--conf spark.dynamicAllocation.enabled=true
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--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
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--conf spark.speculation=false
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--conf spark.hadoop.mapreduce.map.speculative=false
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--conf spark.hadoop.mapreduce.reduce.speculative=false
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--conf spark.sql.shuffle.partitions=3840
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</spark-opts>
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<arg>--sourcePath</arg><arg>${workingDir}/software</arg>
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<arg>--saveGraph</arg><arg>${saveGraph}</arg>
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@ -425,6 +418,9 @@
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<ok to="wait"/>
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<error to="Kill"/>
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</action>
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<join name="wait" to="End"/>
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<join name="wait" to="End"/>
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<end name="End"/>
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</workflow-app>
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