forked from D-Net/dnet-hadoop
changed to delete the part to check if it was a test or a real execution
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@ -8,8 +8,6 @@ import java.util.Optional;
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import java.util.Set;
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import java.util.stream.Collectors;
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import eu.dnetlib.dhp.oa.graph.dump.QueryInformationSystem;
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import eu.dnetlib.dhp.oa.graph.dump.Utils;
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import org.apache.commons.io.IOUtils;
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import org.apache.spark.SparkConf;
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import org.apache.spark.sql.Dataset;
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@ -21,7 +19,9 @@ import org.slf4j.LoggerFactory;
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import com.google.gson.Gson;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.dump.oaf.Result;
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import eu.dnetlib.dhp.oa.graph.dump.QueryInformationSystem;
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import eu.dnetlib.dhp.oa.graph.dump.Utils;
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import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
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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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@ -51,78 +51,29 @@ public class SparkSplitForCommunity implements Serializable {
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final String outputPath = parser.get("outputPath");
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log.info("outputPath: {}", outputPath);
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// final String resultClassName = parser.get("resultTableName");
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// log.info("resultTableName: {}", resultClassName);
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final String isLookUpUrl = parser.get("isLookUpUrl");
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log.info("isLookUpUrl: {}", isLookUpUrl);
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final Optional<String> cm = Optional.ofNullable(parser.get("communityMap"));
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SparkConf conf = new SparkConf();
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CommunitySplit split = new CommunitySplit();
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CommunityMap communityMap;
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if (!isLookUpUrl.equals("BASEURL:8280/is/services/isLookUp")) {
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QueryInformationSystem queryInformationSystem = new QueryInformationSystem();
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queryInformationSystem.setIsLookUp(getIsLookUpService(isLookUpUrl));
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communityMap = queryInformationSystem.getCommunityMap();
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} else {
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communityMap = new Gson().fromJson(cm.get(), CommunityMap.class);
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}
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QueryInformationSystem queryInformationSystem = new QueryInformationSystem();
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queryInformationSystem.setIsLookUp(getIsLookUpService(isLookUpUrl));
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communityMap = queryInformationSystem.getCommunityMap();
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split.run(isSparkSessionManaged, inputPath, outputPath, communityMap);
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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Utils.removeOutputDir(spark, outputPath);
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execSplit(spark, inputPath, outputPath, communityMap.keySet());// , inputClazz);
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});
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}
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public static ISLookUpService getIsLookUpService(String isLookUpUrl) {
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return ISLookupClientFactory.getLookUpService(isLookUpUrl);
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}
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private static void execSplit(SparkSession spark, String inputPath, String outputPath,
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Set<String> communities) {// }, Class<R> inputClazz) {
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Dataset<Result> result = Utils
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.readPath(spark, inputPath + "/publication", Result.class)
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.union(Utils.readPath(spark, inputPath + "/dataset", Result.class))
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.union(Utils.readPath(spark, inputPath + "/orp", Result.class))
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.union(Utils.readPath(spark, inputPath + "/software", Result.class));
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communities
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.stream()
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.forEach(c -> printResult(c, result, outputPath));
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}
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private static void printResult(String c, Dataset<Result> result, String outputPath) {
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Dataset<Result> community_products = result
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.filter(r -> containsCommunity(r, c));
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if (community_products.count() > 0) {
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community_products
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.repartition(1)
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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 + "/" + c);
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}
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}
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private static boolean containsCommunity(Result r, String c) {
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if (Optional.ofNullable(r.getContext()).isPresent()) {
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return r
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.getContext()
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.stream()
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.filter(con -> con.getCode().equals(c))
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.collect(Collectors.toList())
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.size() > 0;
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}
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return false;
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}
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}
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