replacing most arraylists with concurrentmaps due to them requirring less bytes per header since they should be stored bucketwise
This commit is contained in:
parent
f64ce5c5a0
commit
aff2ddae5b
@ -21,7 +21,6 @@ public class DBCPDataSource {
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try {
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ds.setDriver(new com.mysql.cj.jdbc.Driver());
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ds.setUrl("jdbc:mysql://151.80.230.149:3306/ArtificialAutism?useLegacyDatetimeCode=false&serverTimezone=UTC");
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//ds.setUrl("jdbc:mysql://localhost:3306/ArtificialAutism?useLegacyDatetimeCode=false&serverTimezone=UTC");
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ds.setUsername("ArtificialAutism");
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ds.setPassword("b423b54bwbfb1340438fn");
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ds.setMaxTotal(-1);
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@ -17,6 +17,7 @@ import java.util.HashMap;
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import java.util.LinkedHashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.concurrent.ConcurrentMap;
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import java.util.logging.Level;
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import java.util.logging.Logger;
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@ -72,24 +73,22 @@ public class DataMapper {
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return str;
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}
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public static void InsertMYSQLStrings(List<String> str) throws CustomError {
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public static void InsertMYSQLStrings(ConcurrentMap<Integer, String> str) throws CustomError {
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Connection l_cCon = null;
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PreparedStatement l_pStatement = null;
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ResultSet l_rsSearch = null;
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String l_sSQL = "INSERT IGNORE `Sentences` (`Strings`) VALUES (?)";
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try {
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if (str != null && str.size() > 0) {
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l_cCon = DBCPDataSource.getConnection();
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l_pStatement = l_cCon.prepareStatement(l_sSQL, java.sql.ResultSet.TYPE_FORWARD_ONLY,
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java.sql.ResultSet.CONCUR_READ_ONLY);
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l_pStatement.setFetchSize(Integer.MIN_VALUE);
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for (String str1 : str) {
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System.out.println("adding str1: " + str1 + "\n");
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l_pStatement.setString(1, str1);
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l_pStatement.addBatch();
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}
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l_pStatement.executeBatch();
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l_cCon = DBCPDataSource.getConnection();
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l_pStatement = l_cCon.prepareStatement(l_sSQL, java.sql.ResultSet.TYPE_FORWARD_ONLY,
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java.sql.ResultSet.CONCUR_READ_ONLY);
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l_pStatement.setFetchSize(Integer.MIN_VALUE);
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for (String str1 : str.values()) {
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System.out.println("adding str1: " + str1 + "\n");
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l_pStatement.setString(1, str1);
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l_pStatement.addBatch();
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}
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l_pStatement.executeBatch();
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} catch (SQLException ex) {
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throw new CustomError("failed in DataMapper " + ex.getMessage());
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} finally {
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@ -111,40 +110,7 @@ public class DataMapper {
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return count;
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}
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public static List<SimilarityMatrix> getAllSementicMatrixes() throws CustomError {
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//https://stackoverflow.com/questions/5157476/resultset-behavior-with-mysql-database-does-it-store-all-rows-in-memory/5159999#5159999
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//https://stackoverflow.com/questions/3682614/how-to-read-all-rows-from-huge-table
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int count = getSementicsDBRows();
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int counter2 = 0;
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int hardCapRetrieveCount = 500000;
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List<SimilarityMatrix> WS4JList = new ArrayList(count + 1);
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while (count > counter2) {
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try (Connection l_cCon = DBCPDataSource.getConnection()) {
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l_cCon.setAutoCommit(false);
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String l_sSQL = "SELECT * FROM `WordMatrix` WHERE ID > " + counter2 + " AND ID < " + (counter2 + hardCapRetrieveCount);
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try (PreparedStatement l_pStatement = l_cCon.prepareStatement(l_sSQL, java.sql.ResultSet.TYPE_FORWARD_ONLY,
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java.sql.ResultSet.CONCUR_READ_ONLY)) {
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l_pStatement.setFetchSize(Integer.MIN_VALUE);
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try (ResultSet l_rsSearch = l_pStatement.executeQuery()) {
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int i = 0;
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while (l_rsSearch.next() && i < hardCapRetrieveCount) {
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SimilarityMatrix ws4j = new SimilarityMatrix(l_rsSearch.getString(1), l_rsSearch.getString(2), l_rsSearch.getDouble(3));
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//find something cheaper than arraylist probably
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WS4JList.add(ws4j);
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System.out.println("i: " + i + "\n" + "free memory: " + Runtime.getRuntime().freeMemory() + "\ncounter2: " + counter2 + "\n");
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i++;
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counter2++;
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}
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}
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}
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} catch (SQLException ex) {
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Logger.getLogger(DataMapper.class.getName()).log(Level.SEVERE, null, ex);
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}
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}
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return WS4JList;
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}
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public static void insertSementicMatrixes(List<SimilarityMatrix> WS4JListUpdate) throws CustomError {
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public static void insertSementicMatrixes(ConcurrentMap<Integer, SimilarityMatrix> WS4JListUpdate) throws CustomError {
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Connection l_cCon = null;
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PreparedStatement l_pStatement = null;
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ResultSet l_rsSearch = null;
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@ -155,7 +121,7 @@ public class DataMapper {
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java.sql.ResultSet.CONCUR_READ_ONLY);
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l_pStatement.setFetchSize(Integer.MIN_VALUE);
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System.out.println("Matrix update size: " + WS4JListUpdate.size());
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for (SimilarityMatrix ws4j : WS4JListUpdate) {
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for (SimilarityMatrix ws4j : WS4JListUpdate.values()) {
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l_pStatement.setString(1, ws4j.getPrimaryString());
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l_pStatement.setString(2, ws4j.getSecondaryString());
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l_pStatement.setDouble(3, ws4j.getDistance());
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@ -27,16 +27,13 @@ import java.io.IOException;
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import java.io.StringReader;
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import java.sql.SQLException;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.Collections;
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import java.util.Iterator;
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import java.util.LinkedHashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.Map.Entry;
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import java.util.Properties;
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import java.util.Random;
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import java.util.Set;
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import java.util.concurrent.Callable;
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import java.util.concurrent.ConcurrentMap;
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import java.util.concurrent.ExecutionException;
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@ -44,7 +41,6 @@ import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.Future;
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import java.util.concurrent.TimeUnit;
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import java.util.function.Consumer;
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import java.util.logging.Level;
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import java.util.logging.Logger;
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@ -167,141 +163,76 @@ public class MYSQLDatahandler {
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public synchronized void checkIfUpdateMatrixes() {
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refreshMatrixFromDB = false;
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int calculationBoundaries = 10;
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int updateBadgesInteger = 500;
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if (stopwatch1.elapsed(TimeUnit.SECONDS) >= EXPIRE_TIME_IN_SECONDS1) {
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refreshMatrixFromDB = true;
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if (threadCounter == 0) {
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lHMSMX = DataMapper.getAllRelationScores();
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stopwatch1.reset();
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}
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}
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if (stringCache.values().size() > 10 && !refreshMatrixFromDB) {
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if (multiprocessCalculations.size() <= (calculationBoundaries * calculationBoundaries)) {
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threadCounter++;
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List<String> strList = new ArrayList(stringCache.values());
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List<Integer> updateLocal = updatedRows;
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int random = -1;
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if (!updateLocal.contains(random)) {
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updatedRows.add(random);
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}
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Collections.sort(updateLocal);
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while (updateLocal.contains(random)) {
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random = new Random().nextInt(strList.size() - 6);
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int indexPrev = Collections.binarySearch(updateLocal, random);
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int indexNext = Collections.binarySearch(updateLocal, random + 6);
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//-1 will always be index 0
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if (indexPrev > 0 && indexNext > 0) {
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indexPrev = updateLocal.get(indexPrev);
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indexNext = updateLocal.get(indexNext);
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}
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random = indexPrev < random - 5 && indexNext < random ? random : -1;
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}
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updatedRows.add(random);
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semeticsUpdateCount = random;
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int beginindex = semeticsUpdateCount;
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semeticsUpdateCount += calculationBoundaries / 2;
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int temp = semeticsUpdateCount;
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System.out.println("beginindex: " + beginindex + "\ntemp: " + temp + "\n");
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List<String> strIndexNavigator = new ArrayList();
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strList.subList(beginindex, temp).forEach((str) -> {
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strIndexNavigator.add(str);
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multiprocessCalculations.add(str);
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});
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new Thread(() -> {
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LinkedHashMap<String, LinkedHashMap<String, Double>> LHMSMXLocal = lHMSMX;
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List<String> strIndexNavigatorL = new ArrayList(strIndexNavigator);
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List<String> strIndexAll = new ArrayList(strList);
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List<String> randomIndexesToUpdate = new ArrayList();
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int indexes = updateBadgesInteger;
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if (indexes >= strIndexAll.size()) {
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indexes = strIndexAll.size() - 1;
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}
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int beginindexes = new Random().nextInt((strIndexAll.size()) - indexes);
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strIndexAll.subList(beginindexes, beginindexes + indexes).forEach((str) -> {
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randomIndexesToUpdate.add(str);
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});
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List<SimilarityMatrix> matrixUpdateList = new ArrayList();
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List<Future<SimilarityMatrix>> futures = new ArrayList();
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ExecutorService executor = Executors.newFixedThreadPool(Runtime.getRuntime().availableProcessors());
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strIndexNavigatorL.forEach((str) -> {
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randomIndexesToUpdate.stream().filter((str1) -> (!str.equals(str1))).forEachOrdered((str1) -> {
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boolean present = false;
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if (multiprocessCalculations.contains(str1)) {
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present = true;
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} else if (LHMSMXLocal.containsKey(str)) {
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LinkedHashMap<String, Double> orDefault = LHMSMXLocal.get(str);
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if (orDefault.containsKey(str1)) {
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present = true;
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}
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} else if (LHMSMXLocal.containsKey(str1)) {
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LinkedHashMap<String, Double> orDefault = LHMSMXLocal.get(str1);
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if (orDefault.containsKey(str)) {
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present = true;
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}
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}
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if (!present) {
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SimilarityMatrix SMX = new SimilarityMatrix(str, str1);
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Callable<SimilarityMatrix> worker = new SentimentAnalyzerTest(str, str1, SMX);
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futures.add(executor.submit(worker));
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}
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});
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});
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executor.shutdown();
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try {
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System.out.println("finished worker assignment, futures size: " + futures.size() + "\n");
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for (Future<SimilarityMatrix> future : futures) {
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SimilarityMatrix SMX = future.get();
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System.out.println("SMX primary: " + SMX.getPrimaryString() + "\nSMX Secondary: " + SMX.getSecondaryString()
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+ "\nScore: " + SMX.getDistance() + "\n");
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LinkedHashMap<String, Double> get = lHMSMX.getOrDefault(SMX.getPrimaryString(), null);
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if (get == null) {
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get = new LinkedHashMap();
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}
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get.put(SMX.getSecondaryString(), SMX.getDistance());
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lHMSMX.put(SMX.getPrimaryString(), get);
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matrixUpdateList.add(SMX);
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}
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} catch (InterruptedException | ExecutionException ex) {
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Logger.getLogger(MYSQLDatahandler.class.getName()).log(Level.SEVERE, null, ex);
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}
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new Thread(() -> {
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try {
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if (!matrixUpdateList.isEmpty()) {
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DataMapper.insertSementicMatrixes(matrixUpdateList);
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System.out.println("finished datamapper semetic insert");
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}
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threadCounter--;
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System.out.println("\nthreadCounter: " + threadCounter + "\n");
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} catch (CustomError ex) {
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Logger.getLogger(MYSQLDatahandler.class
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.getName()).log(Level.SEVERE, null, ex);
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}
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}).start();
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}).
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start();
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} else {
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int calculationBoundaries = 6;
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int updateBadgesInteger = 65;
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while (lHMSMX.size() < (stringCache.values().size() * stringCache.values().size()) - stringCache.values().size()) {
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if (stopwatch1.elapsed(TimeUnit.SECONDS) >= EXPIRE_TIME_IN_SECONDS1) {
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refreshMatrixFromDB = true;
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if (threadCounter == 0) {
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lHMSMX = DataMapper.getAllRelationScores();
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stopwatch1.reset();
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}
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}
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if (stringCache.values().size() > 10 && !refreshMatrixFromDB) {
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if (multiprocessCalculations.size() <= (calculationBoundaries * calculationBoundaries)) {
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threadCounter++;
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ConcurrentMap<Integer, String> stringCachelocal = stringCache;
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List<Integer> updateLocal = updatedRows;
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int random = -1;
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if (!updateLocal.contains(random)) {
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updatedRows.add(random);
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}
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Collections.sort(updateLocal);
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while (updateLocal.contains(random)) {
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random = new Random().nextInt(stringCachelocal.values().size() - 6);
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int indexPrev = Collections.binarySearch(updateLocal, random);
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int indexNext = Collections.binarySearch(updateLocal, random + 6);
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//-1 will always be index 0
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if (indexPrev > 0 && indexNext > 0) {
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indexPrev = updateLocal.get(indexPrev);
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indexNext = updateLocal.get(indexNext);
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}
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random = indexPrev < random - 5 && indexNext < random ? random : -1;
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}
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updatedRows.add(random);
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semeticsUpdateCount = random;
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int beginindex = semeticsUpdateCount;
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semeticsUpdateCount += calculationBoundaries / 2;
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int temp = semeticsUpdateCount;
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System.out.println("beginindex: " + beginindex + "\ntemp: " + temp + "\n");
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ConcurrentMap<Integer, String> strIndexNavigator = new MapMaker().concurrencyLevel(2).makeMap();
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int ij = 0;
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while (beginindex + ij < temp) {
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String get = stringCachelocal.get(beginindex + ij);
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strIndexNavigator.put(ij, get);
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multiprocessCalculations.add(get);
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ij++;
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}
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new Thread(() -> {
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LinkedHashMap<String, LinkedHashMap<String, Double>> LHMSMXLocal = lHMSMX;
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List<String> strList = new ArrayList(stringCache.values());
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List<SimilarityMatrix> matrixUpdateList = new ArrayList();
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List<String> randomStrList = new ArrayList();
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ConcurrentMap<Integer, String> strIndexAll = stringCachelocal;
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ConcurrentMap<Integer, String> strIndexNavigatorL = strIndexNavigator;
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ConcurrentMap<Integer, String> randomIndexesToUpdate = new MapMaker().concurrencyLevel(2).makeMap();
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int indexes = updateBadgesInteger;
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if (indexes >= strList.size()) {
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indexes = strList.size() - 1;
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if (indexes >= strIndexAll.size()) {
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indexes = strIndexAll.size() - 1;
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}
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int beginindexes = new Random().nextInt((strList.size()) - indexes);
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strList.subList(beginindexes, beginindexes + indexes).forEach((str) -> {
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randomStrList.add(str);
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});
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List<Future<SimilarityMatrix>> futures = new ArrayList();
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int beginindexes = new Random().nextInt((strIndexAll.size()) - indexes);
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int ij1 = 0;
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while (beginindexes + ij1 < beginindexes + indexes) {
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String get1 = strIndexAll.get(beginindexes + ij1);
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randomIndexesToUpdate.put(ij1, get1);
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ij1++;
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}
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ConcurrentMap<Integer, SimilarityMatrix> matrixUpdateList = new MapMaker().concurrencyLevel(2).makeMap();
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ConcurrentMap<Integer, Future<SimilarityMatrix>> futures = new MapMaker().concurrencyLevel(2).makeMap();
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ExecutorService executor = Executors.newFixedThreadPool(Runtime.getRuntime().availableProcessors());
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multiprocessCalculations.forEach((str) -> {
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randomStrList.forEach((str1) -> {
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strIndexNavigatorL.values().forEach((str) -> {
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randomIndexesToUpdate.values().stream().filter((str1) -> (!str.equals(str1))).forEachOrdered((str1) -> {
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boolean present = false;
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if (LHMSMXLocal.containsKey(str)) {
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if (multiprocessCalculations.contains(str1)) {
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present = true;
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} else if (LHMSMXLocal.containsKey(str)) {
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LinkedHashMap<String, Double> orDefault = LHMSMXLocal.get(str);
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if (orDefault.containsKey(str1)) {
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present = true;
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@ -315,13 +246,14 @@ public class MYSQLDatahandler {
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if (!present) {
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SimilarityMatrix SMX = new SimilarityMatrix(str, str1);
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Callable<SimilarityMatrix> worker = new SentimentAnalyzerTest(str, str1, SMX);
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futures.add(executor.submit(worker));
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futures.put(futures.size() + 1, executor.submit(worker));
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}
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});
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});
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executor.shutdown();
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try {
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for (Future<SimilarityMatrix> future : futures) {
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System.out.println("finished worker assignment, futures size: " + futures.size() + "\n");
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for (Future<SimilarityMatrix> future : futures.values()) {
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SimilarityMatrix SMX = future.get();
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LinkedHashMap<String, Double> get = lHMSMX.getOrDefault(SMX.getPrimaryString(), null);
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if (get == null) {
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@ -329,24 +261,97 @@ public class MYSQLDatahandler {
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}
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get.put(SMX.getSecondaryString(), SMX.getDistance());
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lHMSMX.put(SMX.getPrimaryString(), get);
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matrixUpdateList.add(SMX);
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matrixUpdateList.put(matrixUpdateList.size() + 1, SMX);
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}
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} catch (InterruptedException | ExecutionException ex) {
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Logger.getLogger(MYSQLDatahandler.class.getName()).log(Level.SEVERE, null, ex);
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}
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try {
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if (!matrixUpdateList.isEmpty()) {
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DataMapper.insertSementicMatrixes(matrixUpdateList);
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System.out.println("finished datamapper semetic insert");
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new Thread(() -> {
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try {
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if (!matrixUpdateList.isEmpty()) {
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DataMapper.insertSementicMatrixes(matrixUpdateList);
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System.out.println("finished datamapper semetic insert");
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}
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threadCounter--;
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System.out.println("\nthreadCounter: " + threadCounter + "\n");
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} catch (CustomError ex) {
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Logger.getLogger(MYSQLDatahandler.class
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.getName()).log(Level.SEVERE, null, ex);
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}
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} catch (CustomError ex) {
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Logger.getLogger(MYSQLDatahandler.class
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.getName()).log(Level.SEVERE, null, ex);
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}
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multiprocessCalculations = new ArrayList();
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updatedRows = new ArrayList();
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threadCounter--;
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}).start();
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}).start();
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}).
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start();
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} else {
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if (threadCounter == 0) {
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threadCounter++;
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new Thread(() -> {
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LinkedHashMap<String, LinkedHashMap<String, Double>> LHMSMXLocal = lHMSMX;
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ConcurrentMap<Integer, String> strList = stringCache;
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ConcurrentMap<Integer, SimilarityMatrix> matrixUpdateList = new MapMaker().concurrencyLevel(2).makeMap();
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ConcurrentMap<Integer, String> randomStrList = new MapMaker().concurrencyLevel(2).makeMap();
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int indexes = updateBadgesInteger;
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if (indexes >= strList.size()) {
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indexes = strList.size() - 1;
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}
|
||||
int beginindexes = new Random().nextInt((strList.size()) - indexes);
|
||||
int ij1 = 0;
|
||||
while (beginindexes + ij1 < beginindexes + indexes) {
|
||||
String get1 = strList.get(beginindexes + ij1);
|
||||
randomStrList.put(ij1, get1);
|
||||
ij1++;
|
||||
}
|
||||
ConcurrentMap<Integer, Future<SimilarityMatrix>> futures = new MapMaker().concurrencyLevel(2).makeMap();
|
||||
ExecutorService executor = Executors.newFixedThreadPool(Runtime.getRuntime().availableProcessors());
|
||||
multiprocessCalculations.forEach((str) -> {
|
||||
randomStrList.values().forEach((str1) -> {
|
||||
boolean present = false;
|
||||
if (LHMSMXLocal.containsKey(str)) {
|
||||
LinkedHashMap<String, Double> orDefault = LHMSMXLocal.get(str);
|
||||
if (orDefault.containsKey(str1)) {
|
||||
present = true;
|
||||
}
|
||||
} else if (LHMSMXLocal.containsKey(str1)) {
|
||||
LinkedHashMap<String, Double> orDefault = LHMSMXLocal.get(str1);
|
||||
if (orDefault.containsKey(str)) {
|
||||
present = true;
|
||||
}
|
||||
}
|
||||
if (!present) {
|
||||
SimilarityMatrix SMX = new SimilarityMatrix(str, str1);
|
||||
Callable<SimilarityMatrix> worker = new SentimentAnalyzerTest(str, str1, SMX);
|
||||
futures.put(futures.size() + 1, executor.submit(worker));
|
||||
}
|
||||
});
|
||||
});
|
||||
executor.shutdown();
|
||||
try {
|
||||
for (Future<SimilarityMatrix> future : futures.values()) {
|
||||
SimilarityMatrix SMX = future.get();
|
||||
LinkedHashMap<String, Double> get = lHMSMX.getOrDefault(SMX.getPrimaryString(), null);
|
||||
if (get == null) {
|
||||
get = new LinkedHashMap();
|
||||
}
|
||||
get.put(SMX.getSecondaryString(), SMX.getDistance());
|
||||
lHMSMX.put(SMX.getPrimaryString(), get);
|
||||
matrixUpdateList.put(matrixUpdateList.size() + 1, SMX);
|
||||
}
|
||||
} catch (InterruptedException | ExecutionException ex) {
|
||||
Logger.getLogger(MYSQLDatahandler.class.getName()).log(Level.SEVERE, null, ex);
|
||||
}
|
||||
try {
|
||||
if (!matrixUpdateList.isEmpty()) {
|
||||
DataMapper.insertSementicMatrixes(matrixUpdateList);
|
||||
System.out.println("finished datamapper semetic insert");
|
||||
}
|
||||
} catch (CustomError ex) {
|
||||
Logger.getLogger(MYSQLDatahandler.class
|
||||
.getName()).log(Level.SEVERE, null, ex);
|
||||
}
|
||||
multiprocessCalculations = new ArrayList();
|
||||
updatedRows = new ArrayList();
|
||||
threadCounter--;
|
||||
}).start();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -355,22 +360,20 @@ public class MYSQLDatahandler {
|
||||
public synchronized void checkIfUpdateStrings() throws CustomError {
|
||||
if (stopwatch.elapsed(TimeUnit.SECONDS) >= EXPIRE_TIME_IN_SECONDS || !stopwatch.isRunning()) {
|
||||
new Thread(() -> {
|
||||
List<String> str = MessageResponseHandler.getStr();
|
||||
ConcurrentMap<Integer, String> str = MessageResponseHandler.getStr();
|
||||
str = cutContent(str);
|
||||
str = filterContent(str);
|
||||
str = removeSlacks(str);
|
||||
List<String> strUpdate = new ArrayList();
|
||||
strUpdate.addAll(str);
|
||||
try {
|
||||
DataMapper.InsertMYSQLStrings(strUpdate);
|
||||
DataMapper.InsertMYSQLStrings(str);
|
||||
|
||||
} catch (CustomError ex) {
|
||||
Logger.getLogger(MYSQLDatahandler.class
|
||||
.getName()).log(Level.SEVERE, null, ex);
|
||||
}
|
||||
MessageResponseHandler.setStr(new ArrayList());
|
||||
MessageResponseHandler.setStr(new MapMaker().concurrencyLevel(2).makeMap());
|
||||
int j = stringCache.size() + 1;
|
||||
for (String str1 : strUpdate) {
|
||||
for (String str1 : str.values()) {
|
||||
stringCache.put(j, str1);
|
||||
j++;
|
||||
}
|
||||
@ -394,7 +397,7 @@ public class MYSQLDatahandler {
|
||||
SimilarityMatrix SMXreturn = new SimilarityMatrix("", "");
|
||||
System.out.println("pre mostSimilarSTR \n");
|
||||
String mostSimilarSTR = mostSimilar(str, strArrs);
|
||||
if (!mostSimilarSTR.isEmpty()) {
|
||||
if (mostSimilarSTR != null && !mostSimilarSTR.isEmpty()) {
|
||||
System.out.println("mostSimilarSTR; " + mostSimilarSTR + "\n");
|
||||
LinkedHashMap<String, Double> orDefault = LHMSMXLocal.getOrDefault(mostSimilarSTR, null);
|
||||
if (orDefault != null) {
|
||||
@ -471,11 +474,13 @@ public class MYSQLDatahandler {
|
||||
for (Future<DistanceObject> future : futures) {
|
||||
DistanceObject d = future.get();
|
||||
try {
|
||||
int distance = d.getDistance();
|
||||
System.out.println("distance: " + distance + "\n");
|
||||
if (distance < minDistance) {
|
||||
minDistance = distance;
|
||||
similar = d.getSentence();
|
||||
if (d.getSentence() != null && d.getDistance() != null) {
|
||||
int distance = d.getDistance();
|
||||
System.out.println("distance: " + distance + "\n");
|
||||
if (distance < minDistance) {
|
||||
minDistance = distance;
|
||||
similar = d.getSentence();
|
||||
}
|
||||
}
|
||||
} catch (NullPointerException ex) {
|
||||
System.out.println("failed future\n");
|
||||
@ -487,21 +492,21 @@ public class MYSQLDatahandler {
|
||||
return similar;
|
||||
}
|
||||
|
||||
public static List<String> cutContent(List<String> str) {
|
||||
List<String> returnlist = new ArrayList();
|
||||
for (String str1 : str) {
|
||||
public static ConcurrentMap<Integer, String> cutContent(ConcurrentMap<Integer, String> str) {
|
||||
ConcurrentMap<Integer, String> returnlist = new MapMaker().concurrencyLevel(2).makeMap();
|
||||
for (String str1 : str.values()) {
|
||||
int iend = str1.indexOf("content: ");
|
||||
if (iend != -1) {
|
||||
String trs = str1.substring(iend + 9);
|
||||
returnlist.add(trs.substring(0, trs.length() - 1));
|
||||
returnlist.put(returnlist.size() + 1, trs.substring(0, trs.length() - 1));
|
||||
}
|
||||
}
|
||||
return returnlist;
|
||||
}
|
||||
|
||||
public static List<String> filterContent(List<String> str) {
|
||||
List<String> strlistreturn = new ArrayList();
|
||||
for (String str1 : str) {
|
||||
public static ConcurrentMap<Integer, String> filterContent(ConcurrentMap<Integer, String> str) {
|
||||
ConcurrentMap<Integer, String> strlistreturn = new MapMaker().concurrencyLevel(2).makeMap();
|
||||
for (String str1 : str.values()) {
|
||||
if (str1.isEmpty() || str1.length() < 3) {
|
||||
continue;
|
||||
}
|
||||
@ -580,18 +585,18 @@ public class MYSQLDatahandler {
|
||||
}
|
||||
str1 = str1.trim();
|
||||
if (str1.length() > 2 && (!str1.startsWith("!"))) {
|
||||
strlistreturn.add(str1);
|
||||
strlistreturn.put(strlistreturn.size() + 1, str1);
|
||||
}
|
||||
}
|
||||
return strlistreturn;
|
||||
}
|
||||
|
||||
private List<String> removeSlacks(List<String> str) {
|
||||
private ConcurrentMap<Integer, String> removeSlacks(ConcurrentMap<Integer, String> str) {
|
||||
ShiftReduceParser model = getModel();
|
||||
MaxentTagger tagger = getTagger();
|
||||
List<TaggedWord> taggedWords;
|
||||
List<String> strreturn = new ArrayList();
|
||||
for (String str1 : str) {
|
||||
ConcurrentMap<Integer, String> strreturn = new MapMaker().concurrencyLevel(2).makeMap();
|
||||
for (String str1 : str.values()) {
|
||||
int counter = 0;
|
||||
List<String> TGWList = new ArrayList();
|
||||
DocumentPreprocessor tokenizer = new DocumentPreprocessor(new StringReader(str1));
|
||||
@ -638,7 +643,7 @@ public class MYSQLDatahandler {
|
||||
}
|
||||
}
|
||||
if (!tooclosematch) {
|
||||
strreturn.add(str1);
|
||||
strreturn.put(strreturn.size() + 1, str1);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
@ -5,8 +5,10 @@
|
||||
*/
|
||||
package FunctionLayer;
|
||||
|
||||
import com.google.common.collect.MapMaker;
|
||||
import java.util.ArrayList;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.ConcurrentMap;
|
||||
|
||||
/**
|
||||
*
|
||||
@ -14,13 +16,13 @@ import java.util.List;
|
||||
*/
|
||||
public class MessageResponseHandler {
|
||||
|
||||
private static List<String> str = new ArrayList();
|
||||
private static ConcurrentMap<Integer, String> str = new MapMaker().concurrencyLevel(2).makeMap();
|
||||
|
||||
public static List<String> getStr() {
|
||||
public static ConcurrentMap<Integer, String> getStr() {
|
||||
return str;
|
||||
}
|
||||
|
||||
public static void setStr(List<String> str) {
|
||||
public static void setStr(ConcurrentMap<Integer, String> str) {
|
||||
MessageResponseHandler.str = str;
|
||||
}
|
||||
|
||||
@ -33,13 +35,13 @@ public class MessageResponseHandler {
|
||||
if (message.startsWith("[ *")) {
|
||||
message = message.substring(message.indexOf("]"));
|
||||
}
|
||||
str.add(message);
|
||||
str.put(str.size() + 1, message);
|
||||
}
|
||||
}
|
||||
|
||||
public static String selectReponseMessage(String toString) throws CustomError {
|
||||
List<String> str1 = new ArrayList();
|
||||
str1.add(toString);
|
||||
ConcurrentMap<Integer, String> str1 = new MapMaker().concurrencyLevel(2).makeMap();
|
||||
str1.put(str1.size() +1 , toString);
|
||||
str1 = MYSQLDatahandler.cutContent(str1);
|
||||
String strreturn = str1.get(0);
|
||||
String getResponseMsg = MYSQLDatahandler.instance.getResponseMsg(strreturn);
|
||||
|
@ -7,7 +7,7 @@
|
||||
kill $pid (number)
|
||||
|
||||
nohup screen -d -m -S nonroot java -Xmx6048M -jar /home/javatests/ArtificialAutism-1.0.jar
|
||||
nohup screen -d -m -S nonroot java -Xmx4048M -jar /home/javatests/ArtificialAutism-1.0.jar
|
||||
nohup screen -d -m -S nonroot java -Xmx6800M -jar /home/javatests/ArtificialAutism-1.0.jar
|
||||
|
||||
screen -ls (number1)
|
||||
screen -X -S (number1) quit
|
||||
@ -35,7 +35,6 @@ import org.javacord.api.entity.user.User;
|
||||
public class DiscordHandler {
|
||||
|
||||
public static void main(String[] args) {
|
||||
MYSQLDatahandler.shiftReduceParserInitiate();
|
||||
new Thread(() -> {
|
||||
try {
|
||||
MYSQLDatahandler.instance.initiateMYSQL();
|
||||
@ -44,6 +43,8 @@ public class DiscordHandler {
|
||||
Logger.getLogger(DiscordHandler.class.getName()).log(Level.SEVERE, null, ex);
|
||||
}
|
||||
}).start();
|
||||
MYSQLDatahandler.shiftReduceParserInitiate();
|
||||
MYSQLDatahandler.instance.checkIfUpdateMatrixes();
|
||||
String token = "NTI5NzAxNTk5NjAyMjc4NDAx.Dw0vDg.7-aMjVWdQMYPl8qVNyvTCPS5F_A";
|
||||
DiscordApi api = new DiscordApiBuilder().setToken(token).login().join();
|
||||
api.addMessageCreateListener(event -> {
|
||||
@ -81,7 +82,7 @@ public class DiscordHandler {
|
||||
MessageResponseHandler.getMessage(strresult);
|
||||
try {
|
||||
MYSQLDatahandler.instance.checkIfUpdateStrings();
|
||||
MYSQLDatahandler.instance.checkIfUpdateMatrixes();
|
||||
//MYSQLDatahandler.instance.checkIfUpdateMatrixes();
|
||||
} catch (CustomError ex) {
|
||||
Logger.getLogger(DiscordHandler.class.getName()).log(Level.SEVERE, null, ex);
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user