Examples of org.apache.lucene.search.similarities.Similarity$SimWeight

Package org.apache.lucene.search.similarities

Examples of org.apache.lucene.search.similarities.Similarity$SimWeight

org.apache.lucene.search.similarities.Similarity
Stores the weight for a query across the indexed collection. This abstract implementation is empty; descendants of {@code Similarity} shouldsubclass {@code SimWeight} and define the statistics they require in thesubclass. Examples include idf, average field length, etc.

  }
  
  @Override
  public synchronized Similarity get(String field) {
    assert field != null;
    Similarity sim = previousMappings.get(field);
    if (sim == null) {
      sim = knownSims.get(Math.abs(perFieldSeed ^ field.hashCode()) % knownSims.size());
      previousMappings.put(field, sim);
    }
    return sim;

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  public void testFloatNorms() throws IOException {


    Directory dir = newDirectory();
    IndexWriterConfig config = newIndexWriterConfig(TEST_VERSION_CURRENT,
        new MockAnalyzer(random()));
    Similarity provider = new MySimProvider();
    config.setSimilarity(provider);
    RandomIndexWriter writer = new RandomIndexWriter(random(), dir, config);
    final LineFileDocs docs = new LineFileDocs(random());
    int num = atLeast(100);
    for (int i = 0; i < num; i++) {

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  }
  
  private void _showDocFields(int docid, Document doc) {
    Object table = find("docTable");
    Object srchOpts = find("srchOptTabs");
    Similarity sim = createSimilarity(srchOpts);
    if (sim == null || !(sim instanceof TFIDFSimilarity)) {
      sim = defaultSimilarity;
    }
    setString(find("docNum"), "text", String.valueOf(docid));
    removeAll(table);

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    Object newNorm = find(dialog, "newNorm");
    Object encNorm = find(dialog, "encNorm");
    Object doc = find(dialog, "docNum");
    Object fld = find(dialog, "fld");
    Object srchOpts = find("srchOptTabs");
    Similarity sim = createSimilarity(srchOpts);
    TFIDFSimilarity s = null;
    if (sim != null && (sim instanceof TFIDFSimilarity)) {
      s = (TFIDFSimilarity)sim;
    } else {
      s = defaultSimilarity;

View Full Code Here

      return new SweetSpotSimilarity();
    } else if (getBoolean(ckSimOther, "selected")) {
      try {
        Class clazz = Class.forName(getString(simClass, "text"));
        if (Similarity.class.isAssignableFrom(clazz)) {
          Similarity sim = (Similarity)clazz.newInstance();
          return sim;
        } else {
          throw new Exception("Not a subclass of Similarity: " + clazz.getName());
        }
      } catch (Exception e) {

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      showStatus("FAILED: Empty query.");
      return;
    }
    Object srchOpts = find("srchOptTabs");
    // query parser opts
    Similarity sim = createSimilarity(srchOpts);
    AccessibleHitCollector col;
    try {
      col = createCollector(srchOpts);
    } catch (Throwable t) {
      errorMsg("ERROR creating Collector: " + t.getMessage());

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    if (q == null) return;
    Thread t = new Thread() {
      public void run() {
        try {
          IndexSearcher is = new IndexSearcher(ir);
          Similarity sim = createSimilarity(find("srchOptTabs"));
          is.setSimilarity(sim);
          Explanation expl = is.explain(q, docid.intValue());
          Object dialog = addComponent(null, "/xml/explain.xml", null, null);
          Object eTree = find(dialog, "eTree");
          addNode(eTree, expl);

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      String cluster = BlurUtil.nullCheck(tableDescriptor.cluster, "tableDescriptor.cluster cannot be null.");
      assignTableUri(tableDescriptor);
      String uri = BlurUtil.nullCheck(tableDescriptor.tableUri, "tableDescriptor.tableUri cannot be null.");
      int shardCount = BlurUtil.zeroCheck(tableDescriptor.shardCount,
          "tableDescriptor.shardCount cannot be less than 1");
      Similarity similarity = BlurUtil.getInstance(tableDescriptor.similarityClass, Similarity.class);
      boolean blockCaching = tableDescriptor.blockCaching;
      Set<String> blockCachingFileTypes = tableDescriptor.blockCachingFileTypes;
      String blurTablePath = ZookeeperPathConstants.getTablePath(cluster, table);


      if (_zk.exists(blurTablePath, false) != null) {
        throw new IOException("Table [" + table + "] already exists.");
      }
      BlurUtil.setupFileSystem(uri, shardCount);
      BlurUtil.createPath(_zk, blurTablePath, null);
      BlurUtil.createPath(_zk, ZookeeperPathConstants.getTableColumnsToPreCache(cluster, table),
          toBytes(tableDescriptor.preCacheCols));
      BlurUtil.createPath(_zk, ZookeeperPathConstants.getTableUriPath(cluster, table), uri.getBytes());
      BlurUtil.createPath(_zk, ZookeeperPathConstants.getTableShardCountPath(cluster, table),
          Integer.toString(shardCount).getBytes());
      BlurUtil.createPath(_zk, ZookeeperPathConstants.getTableSimilarityPath(cluster, table), similarity.getClass()
          .getName().getBytes());
      BlurUtil.createPath(_zk, ZookeeperPathConstants.getLockPath(cluster, table), null);
      BlurUtil.createPath(_zk, ZookeeperPathConstants.getTableFieldNamesPath(cluster, table), null);
      if (tableDescriptor.readOnly) {
        BlurUtil.createPath(_zk, ZookeeperPathConstants.getTableReadOnlyPath(cluster, table), null);

View Full Code Here

  }


  @Override
  public Similarity getSimilarity(String table) {
    checkTable(table);
    Similarity similarity = _tableSimilarity.get(table);
    if (similarity == null) {
      TableDescriptor tableDescriptor = _clusterStatus.getTableDescriptor(true, _cluster, table);
      String similarityClass = tableDescriptor.similarityClass;
      if (similarityClass == null) {
        similarity = new FairSimilarity();

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  public void buildIndex(Directory dir) throws IOException {
    Random random = random();
    IndexWriterConfig config = newIndexWriterConfig(TEST_VERSION_CURRENT,
        new MockAnalyzer(random()));
    Similarity provider = new MySimProvider();
    config.setSimilarity(provider);
    RandomIndexWriter writer = new RandomIndexWriter(random, dir, config);
    final LineFileDocs docs = new LineFileDocs(random, defaultCodecSupportsDocValues());
    int num = atLeast(100);
    for (int i = 0; i < num; i++) {

View Full Code Here

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