forked from D-Net/dnet-hadoop
optimized some dedup functions
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3129c1c48b
commit
890b49fb5d
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@ -49,14 +49,14 @@ public abstract class AbstractPaceFunctions {
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protected static Set<String> ngramBlacklist = loadFromClasspath("/eu/dnetlib/pace/config/ngram_blacklist.txt");
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// html regex for normalization
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public final String HTML_REGEX = "<[^>]*>";
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public final Pattern HTML_REGEX = Pattern.compile("<[^>]*>");
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private static final String alpha = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 ";
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private static final String aliases_from = "⁰¹²³⁴⁵⁶⁷⁸⁹⁺⁻⁼⁽⁾ⁿ₀₁₂₃₄₅₆₇₈₉₊₋₌₍₎àáâäæãåāèéêëēėęəîïíīįìôöòóœøōõûüùúūßśšłžźżçćčñń";
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private static final String aliases_to = "0123456789+-=()n0123456789+-=()aaaaaaaaeeeeeeeeiiiiiioooooooouuuuussslzzzcccnn";
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// doi prefix for normalization
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public final String DOI_PREFIX = "(https?:\\/\\/dx\\.doi\\.org\\/)|(doi:)";
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public final Pattern DOI_PREFIX = Pattern.compile("(https?:\\/\\/dx\\.doi\\.org\\/)|(doi:)");
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private Pattern numberPattern = Pattern.compile("-?\\d+(\\.\\d+)?");
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@ -67,8 +67,7 @@ public abstract class AbstractPaceFunctions {
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}
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protected String cleanup(final String s) {
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final String s1 = s.replaceAll(HTML_REGEX, "");
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final String s1 = HTML_REGEX.matcher(s).replaceAll( "");
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final String s2 = unicodeNormalization(s1.toLowerCase());
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final String s3 = nfd(s2);
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final String s4 = fixXML(s3);
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@ -302,7 +301,7 @@ public abstract class AbstractPaceFunctions {
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}
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public String normalizePid(String pid) {
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return pid.toLowerCase().replaceAll(DOI_PREFIX, "");
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return DOI_PREFIX.matcher(pid.toLowerCase()).replaceAll("");
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}
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// get the list of keywords into the input string
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@ -6,6 +6,9 @@ import java.util.Map;
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import java.util.Set;
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import java.util.stream.Collectors;
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import com.jayway.jsonpath.Configuration;
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import com.jayway.jsonpath.DocumentContext;
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import com.jayway.jsonpath.Option;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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@ -15,6 +18,7 @@ import eu.dnetlib.pace.config.Config;
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import eu.dnetlib.pace.tree.support.AbstractListComparator;
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import eu.dnetlib.pace.tree.support.ComparatorClass;
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import eu.dnetlib.pace.util.MapDocumentUtil;
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import com.jayway.jsonpath.JsonPath;
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@ComparatorClass("jsonListMatch")
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public class JsonListMatch extends AbstractListComparator {
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@ -59,11 +63,11 @@ public class JsonListMatch extends AbstractListComparator {
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StringBuilder st = new StringBuilder(); // to build the string used for comparisons basing on the jpath into
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// parameters
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final DocumentContext documentContext = JsonPath.using(Configuration.defaultConfiguration().addOptions(Option.SUPPRESS_EXCEPTIONS)).parse(json);
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// for each path in the param list
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for (String key : params.keySet().stream().filter(k -> k.contains("jpath")).collect(Collectors.toList())) {
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String path = params.get(key);
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String value = MapDocumentUtil.getJPathString(path, json);
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String value = MapDocumentUtil.getJPathString(path, documentContext);
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if (value == null || value.isEmpty())
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value = "";
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st.append(value);
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@ -18,12 +18,12 @@ import org.xml.sax.SAXException;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.application.dedup.log.DedupLogModel;
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import eu.dnetlib.dhp.application.dedup.log.DedupLogWriter;
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import eu.dnetlib.dhp.oa.dedup.model.SparkDedupConfig;
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import eu.dnetlib.dhp.schema.oaf.Relation;
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import eu.dnetlib.dhp.utils.ISLookupClientFactory;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
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import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
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import eu.dnetlib.pace.config.DedupConfig;
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import eu.dnetlib.pace.model.SparkDedupConfig;
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public class SparkCreateSimRels extends AbstractSparkAction {
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@ -36,21 +36,21 @@ public class SparkCreateSimRels extends AbstractSparkAction {
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public static void main(String[] args) throws Exception {
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ArgumentApplicationParser parser = new ArgumentApplicationParser(
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IOUtils
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.toString(
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SparkCreateSimRels.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/dedup/createSimRels_parameters.json")));
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IOUtils
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.toString(
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SparkCreateSimRels.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/oa/dedup/createSimRels_parameters.json")));
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parser.parseArgument(args);
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SparkConf conf = new SparkConf();
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new SparkCreateSimRels(parser, getSparkSession(conf))
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.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")));
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.run(ISLookupClientFactory.getLookUpService(parser.get("isLookUpUrl")));
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}
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@Override
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public void run(ISLookUpService isLookUpService)
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throws DocumentException, IOException, ISLookUpException, SAXException {
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throws DocumentException, IOException, ISLookUpException, SAXException {
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// read oozie parameters
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final String graphBasePath = parser.get("graphBasePath");
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@ -58,15 +58,16 @@ public class SparkCreateSimRels extends AbstractSparkAction {
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final String actionSetId = parser.get("actionSetId");
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final String workingPath = parser.get("workingPath");
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final int numPartitions = Optional
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.ofNullable(parser.get("numPartitions"))
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.map(Integer::valueOf)
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.orElse(NUM_PARTITIONS);
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.ofNullable(parser.get("numPartitions"))
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.map(Integer::valueOf)
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.orElse(NUM_PARTITIONS);
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log.info("numPartitions: '{}'", numPartitions);
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log.info("graphBasePath: '{}'", graphBasePath);
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log.info("isLookUpUrl: '{}'", isLookUpUrl);
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log.info("actionSetId: '{}'", actionSetId);
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log.info("workingPath: '{}'", workingPath);
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final String dfLogPath = parser.get("dataframeLog");
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final String runTag = Optional.ofNullable(parser.get("runTAG")).orElse("UNKNOWN");
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@ -86,25 +87,25 @@ public class SparkCreateSimRels extends AbstractSparkAction {
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SparkDedupConfig sparkConfig = new SparkDedupConfig(dedupConf, numPartitions);
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Dataset<?> simRels = spark
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.read()
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.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
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.transform(sparkConfig.modelExtractor()) // Extract fields from input json column according to model
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// definition
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.transform(sparkConfig.generateAndProcessClustersWithJoins()) // generate <key,block> pairs according to
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// filters, clusters, and model
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// definition
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// .transform(sparkConfig.processClusters()) // process blocks and emits <from,to> pairs of found
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// similarities
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.map(
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(MapFunction<Row, Relation>) t -> DedupUtility
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.createSimRel(t.getStruct(0).getString(0), t.getStruct(0).getString(1), entity),
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Encoders.bean(Relation.class));
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.read()
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.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
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.transform(sparkConfig.modelExtractor()) // Extract fields from input json column according to model
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// definition
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.transform(sparkConfig.generateClustersWithDFAPI()) // generate <key,block> pairs according to
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// filters, clusters, and model
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// definition
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.transform(sparkConfig.processClusters()) // process blocks and emits <from,to> pairs of found
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// similarities
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.map(
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(MapFunction<Row, Relation>) t -> DedupUtility
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.createSimRel(t.getStruct(0).getString(0), t.getStruct(0).getString(1), entity),
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Encoders.bean(Relation.class));
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saveParquet(simRels, outputPath, SaveMode.Overwrite);
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final long end = System.currentTimeMillis();
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if (StringUtils.isNotBlank(dfLogPath)) {
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final DedupLogModel model = new DedupLogModel(runTag, dedupConf.toString(), subEntity, start, end,
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end - start);
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end - start);
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new DedupLogWriter(dfLogPath).appendLog(model, spark);
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}
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