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package eu.dnetlib.data.mapreduce.hbase.lodExport.linkage;
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import eu.dnetlib.data.mapreduce.hbase.lodExport.utils.caching.RedisUtils;
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import eu.dnetlib.data.mapreduce.hbase.lodExport.utils.compators.DistanceAlgorithms;
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import eu.dnetlib.data.mapreduce.hbase.lodExport.utils.compators.MyComparator;
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import eu.dnetlib.data.mapreduce.hbase.lodExport.utils.configuration.Properties;
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import org.apache.hadoop.io.Text;
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import org.apache.hadoop.mapreduce.Reducer;
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import org.apache.log4j.Logger;
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import java.io.IOException;
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import java.util.HashMap;
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import java.util.Map;
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public class LinkCustomReducer extends Reducer<Text, Text, Text, Text> {
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private Logger log = Logger.getLogger(LinkCustomReducer.class);
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private RedisUtils redisUtils;
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private static final String SEPERATOR = ",";
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private double similarityThreshold;
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private String distanceAlgorithm;
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public static enum LINK_RECUDER_COUNTERS {
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TARGET_RECORDS_EXAMINED,
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SOURCE_RECORDS_EXAMINED,
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MATCHING_PAIRS,
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RECORD_COMPARISONS,
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COMPARISONS_PER_BLOCK,
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TOTAL_BLOCKS,
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NON_MATCHING_PAIRS
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}
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@Override
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protected void setup(Context context) throws IOException, InterruptedException {
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try {
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similarityThreshold = context.getConfiguration().getDouble(Properties.LOD_SIMILARITY_THRESHOLD, 0.8);
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log.info("SIMILARITY THRESHOLD " + similarityThreshold);
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distanceAlgorithm = context.getConfiguration().get(Properties.LOD_DISTANCE_ALGORITHM);
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redisUtils = new RedisUtils(context.getConfiguration());
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} catch (Exception e) {
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log.error("Error connecting to Redis " + e.toString());
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throw new RuntimeException(e);
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}
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}
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@Override
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protected void reduce(final Text key, final Iterable<Text> values, final Context context) throws IOException, InterruptedException {
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//each item in the list is a block with the given key
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for (Text block : values) {
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context.getCounter(LINK_RECUDER_COUNTERS.TOTAL_BLOCKS).increment(1);
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try {
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linkRecords(block.toString(), context);
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} catch (Exception e) {
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log.error("Error comparing records" + e.toString());
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throw new RuntimeException(e);
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}
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}
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}
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private void linkRecords(String block, Context context) throws Exception {
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String[] split = block.split(SEPERATOR);
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Map<String, String> sourceRecords = new HashMap<>();
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Map<String, String> targetRecords = new HashMap<>();
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for (String recordId : split) {
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if (recordId.contains("source_")) {
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sourceRecords.put(recordId, "");
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context.getCounter(LINK_RECUDER_COUNTERS.SOURCE_RECORDS_EXAMINED).increment(1);
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} else {
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targetRecords.put(recordId, redisUtils.getValue(recordId));
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context.getCounter(LINK_RECUDER_COUNTERS.TARGET_RECORDS_EXAMINED).increment(1);
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}
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}
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for (String sourceId : sourceRecords.keySet()) {
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String sourceRecord = redisUtils.getValue(sourceId);
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for (String targetId : targetRecords.keySet()) {
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//store target records to have less I/O ops per record
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//test also version where we get each record again in each loop
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//TODO
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//String targetRecord = redisUtils.getValue(targetId);}
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String targetRecord = targetRecords.get(targetId);
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double similarity = MyComparator.computeSimilarity(DistanceAlgorithms.valueOf(distanceAlgorithm), sourceRecord, targetRecord);
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context.getCounter(LINK_RECUDER_COUNTERS.RECORD_COMPARISONS).increment(1);
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if (similarity >= similarityThreshold) {
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try {
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context.write(new Text(sourceId), new Text(targetId + SEPERATOR + similarity + SEPERATOR + sourceRecord.replaceAll(sourceId, "")
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+ SEPERATOR + targetRecord.replaceAll(targetId, "")));
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context.getCounter(LINK_RECUDER_COUNTERS.MATCHING_PAIRS).increment(1);
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} catch (Exception ex) {
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log.error("Error while writing records to output : " + ex.toString());
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throw new IOException("Error while writing records to output", ex);
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}
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} else {
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context.getCounter(LINK_RECUDER_COUNTERS.NON_MATCHING_PAIRS).increment(1);
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}
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}
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}
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}
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@Override
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protected void cleanup(Context context) throws IOException, InterruptedException {
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context.getCounter(LINK_RECUDER_COUNTERS.COMPARISONS_PER_BLOCK).setValue(context.getCounter(LINK_RECUDER_COUNTERS.RECORD_COMPARISONS).getValue() /
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context.getCounter(LINK_RECUDER_COUNTERS.TOTAL_BLOCKS).getValue());
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redisUtils.close();
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}
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}
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