Example usage for java.util.concurrent ConcurrentHashMap ConcurrentHashMap

Introduction

In this page you can find the example usage for java.util.concurrent ConcurrentHashMap ConcurrentHashMap.

Prototype

public ConcurrentHashMap()

Source Link

Document

Creates a new, empty map with the default initial table size (16).

Usage

From source file:com.impetus.kundera.persistence.EntityManagerSession.java

/**
 * Instantiates a new entity manager cache.
 * //from w ww. ja va  2  s . com
 * @param cache
 *            the cache
 */
public EntityManagerSession(Cache cache) {
    this.sessionCache = new ConcurrentHashMap<Object, Object>();
    setL2Cache(cache);
}

From source file:cc.osint.graphd.sim.ProcessGroup.java

public ProcessGroup(Graph graph, String name, ExecutorService executorService, PoolFiberFactory fiberFactory) {
    this.graphRef = new WeakReference<Graph>(graph);
    this.name = name;
    processMap = new ConcurrentHashMap<String, GraphProcess<T, M>>();
    this.executorService = executorService;
    this.fiberFactory = fiberFactory;
    scriptEngineMap = new ConcurrentHashMap<String, GScriptEngine>();
    log.info("process group instantiated: " + name);
}

From source file:com.clustercontrol.notify.mail.action.GetMailTemplate.java

/**
 * ???<BR>/*  ww  w  .j  a  va2s . c  o m*/
 * ??SessionBean????
 *
 * @return 
 *
 */
public Map<String, List<MailTemplateInfo>> getMailTemplateList() {

    Map<String, List<MailTemplateInfo>> dispDataMap = new ConcurrentHashMap<>();
    List<MailTemplateInfo> records = null;
    for (String managerName : EndpointManager.getActiveManagerSet()) {
        try {
            MailTemplateEndpointWrapper wrapper = MailTemplateEndpointWrapper.getWrapper(managerName);
            records = wrapper.getMailTemplateList();
            dispDataMap.put(managerName, records);
        } catch (InvalidRole_Exception e) {
            MessageDialog.openInformation(null, Messages.getString("message"),
                    Messages.getString("message.accesscontrol.16"));
        } catch (Exception e) {
            m_log.warn("getNotifyListByOwnerRole(), " + e.getMessage(), e);
            MessageDialog.openError(null, Messages.getString("failed"),
                    Messages.getString("message.hinemos.failure.unexpected") + ", "
                            + HinemosMessage.replace(e.getMessage()));
        }
    }
    return dispDataMap;
}

From source file:com.redhat.rhn.frontend.integration.IntegrationService.java

private IntegrationService() {
    cobblerAuthTokenStore = new ConcurrentHashMap<String, String>();
    randomTokenStore = new ConcurrentHashMap<String, String>();
}

From source file:com.vmware.identity.idm.server.AuthSessionFactoryCache.java

AuthSessionFactoryCache() {
    _configDir = IdmUtils.getIdentityServicesConfigDir();
    _factoryLookup = new ConcurrentHashMap<String, AuthenticationSessionFactory>();
}

From source file:com.zack6849.superlogger.Main.java

@Override
public void onEnable() {
    this.logger = getLogger();
    this.loggers = new ConcurrentHashMap<String, LoggerAbstraction>();
    saveDefaultConfig();/*from   w w  w .  j  ava2  s .  c  o m*/
    getConfig().setDefaults(new MemoryConfiguration());
    loadSettings();
    getServer().getPluginManager().registerEvents(new EventListener(this), this);
    try {
        Metrics metrics = new Metrics(this);
        metrics.start();
        logger.log(Level.INFO, "Metrics Running <3");
    } catch (IOException e) {
        logger.warning("There was an issue starting plugin metrics </3");
        logger.warning(e.getMessage());
        e.printStackTrace();
    }
    if (settings.isAutoUpdate()) {
        updater = new Updater(this, 45448, this.getFile(), Updater.UpdateType.DEFAULT, true);
    } else {
        updater = new Updater(this, 45448, this.getFile(), Updater.UpdateType.NO_DOWNLOAD, true);
    }
    if (settings.isDebug()) {
        for (String line : getDebug()) {
            debug(line);
        }
    }
}

From source file:me.schiz.jmeter.protocol.SessionStorage.java

public SessionStorage() {
    map = new ConcurrentHashMap<String, SocketClient>();
    protoTypeMap = new ConcurrentHashMap<String, proto_type>();
}

From source file:com.netflix.hollow.jsonadapter.discover.HollowJsonAdapterSchemaDiscoverer.java

public HollowJsonAdapterSchemaDiscoverer(String typeName) {
    super(typeName, "scan");
    this.mapTypes = new HashSet<String>();
    this.discoveredSchemas = new ConcurrentHashMap<String, HollowDiscoveredSchema>();
    this.schemaNamer = new HollowSchemaNamer();
}

From source file:com.willkara.zeteo.explorers.Explorer.java

/**
 * The public facing search method. Accepts an {@link ExplorerOptions}
 * instance that contains the rules for the search.
 *
 * @param exOptions ExplorerOptions for the search method
 * @return An {@link ExplorerResult} object that contains the information
 * for the directory.//w ww.j  av a2 s  .  co m
 */
public ExplorerResult search(ExplorerOptions exOptions) {
    return new ExplorerResult(
            searcher(exOptions.getDirectoryObject().listFiles(), new ConcurrentHashMap<>(), options));
}

From source file:com.farhad.ngram.lang.detector.profile.LanguageProfile.java

public void construct(String path) {
    MultiValueMap corpus = filetools.readFile(path);

    Iterator<String> it = corpus.keySet().iterator();

    Map<String, Map> profile = new ConcurrentHashMap<>();

    //iterate over each class
    while (it.hasNext()) {

        String theKey = (String) it.next();

        List<String> texts = (List<String>) corpus.get(theKey);
        Num_Docs = texts.size();// w w  w  . j  a va  2 s . c  om
        Map<Integer, Map> ngrams_lang = new HashMap<Integer, Map>();

        Map<String, MyPair> ngrams_profile = new ConcurrentHashMap<>();

        //iterate over each text
        for (int i = 0; i < texts.size(); i++) {

            String text = texts.get(i);
            Map<String, Integer> grams = new HashMap<>();
            for (int n = 1; n <= ngrams; n++) {

                grams.putAll(NgramExtractor.gramLength(n).extractCountedGrams(text));

            }

            ngrams_lang.put(i, grams);

        }

        Iterator<Integer> itt = ngrams_lang.keySet().iterator();

        while (itt.hasNext()) {

            Map<String, Integer> ngram = ngrams_lang.get(itt.next());
            Iterator<String> ittt = ngram.keySet().iterator();

            while (ittt.hasNext()) {

                String ng = ittt.next();

                if (ngrams_profile.containsKey(ng)) {

                    MyPair pair = ngrams_profile.get(ng);
                    pair.setFirst(pair.getFirst() + ngram.get(ng));
                    pair.setSecond(pair.getSecond() + 1);
                    ngrams_profile.put(ng, pair);

                } else {

                    MyPair pair = new MyPair(ngram.get(ng), 1);
                    ngrams_profile.put(ng, pair);
                }
            }
        }

        profile.put(theKey, ngrams_profile);

    }

    //filter based on doc_frequency and term_frequency 
    Iterator<String> p_it = profile.keySet().iterator();

    while (p_it.hasNext()) {

        String lang = p_it.next();
        List<String> texts = (List<String>) corpus.get(lang);
        Num_Docs = texts.size();

        Map<String, MyPair> ngram = profile.get(lang);

        Iterator<String> ngram_it = ngram.keySet().iterator();
        while (ngram_it.hasNext()) {
            String key = ngram_it.next();
            MyPair freq = ngram.get(key);
            if (freq.getFirst() <= MIN_TERM_FREQUENCY | freq.getSecond() >= Num_Docs) {
                ngram.remove(key);
            }

        }

    }

    //computer the term frequecny for each n-gram 
    p_it = profile.keySet().iterator();

    while (p_it.hasNext()) {
        String lang = p_it.next();
        List<String> texts = (List<String>) corpus.get(lang);
        Num_Docs = texts.size();

        Map<String, MyPair> ngram = profile.get(lang);

        int N = ngram.keySet().size();

        Iterator<String> ngram_it = ngram.keySet().iterator();
        Map<String, Double> ngram_tfidf = new HashMap<>();

        while (ngram_it.hasNext()) {

            String key = ngram_it.next();
            MyPair freq = ngram.get(key);

            double tf = (double) freq.getFirst() / N;
            ngram_tfidf.put(key, tf);

        }

        //write the language profile 
        String filename = lang + ".profile";
        saveProfile(filename, ngram_tfidf);
    }
}