Examples of ValueSource

com.adgear.anoa.source.schemaless.ValueSource
com.foundationdb.server.types.value.ValueSource
com.ngdata.hbaseindexer.conf.FieldDefinition.ValueSource
com.volantis.mcs.build.themes.definitions.values.ValueSource

Warning: This is a facade provided for use by user code, not for implementation by user code. User implementations of this interface are highly likely to be incompatible with future releases of the product at both binary and source levels.
org.apache.lucene.queries.function.ValueSource
Instantiates {@link FunctionValues} for a particular reader.
Often used when creating a {@link FunctionQuery}.
org.apache.lucene.search.function.ValueSource
Expert: source of values for basic function queries.
At its default/simplest form, values - one per doc - are used as the score of that doc.
Values are instantiated as {@link org.apache.lucene.search.function.DocValues DocValues} for a particular reader.
ValueSource implementations differ in RAM requirements: it would always be a factor of the number of documents, but for each document the number of bytes can be 1, 2, 4, or 8.
WARNING: The status of the search.function package is experimental. The APIs introduced here might change in the future and will not be supported anymore in such a case.
org.apache.solr.search.function.ValueSource
Instantiates {@link org.apache.solr.search.function.DocValues} for a particular reader.
Often used when creating a {@link FunctionQuery}. @version $Id: ValueSource.java 1140724 2011-06-28 17:00:20Z yonik $
org.codehaus.plexus.interpolation.ValueSource
Supplies one strategy for resolving a value for an interpolation expression. ValueSources may be stacked.

Examples of org.apache.lucene.queries.function.ValueSource

          fastMatchFilter = NumericRangeFilter.newFloatRange("field", minAcceptedValue, maxAcceptedValue, true, true);
        }
      } else {
        fastMatchFilter = null;
      }
      ValueSource vs = new FloatFieldSource("field");
      Facets facets = new DoubleRangeFacetCounts("field", vs, sfc, fastMatchFilter, ranges);
      FacetResult result = facets.getTopChildren(10, "field");
      assertEquals(numRange, result.labelValues.length);
      for(int rangeID=0;rangeID<numRange;rangeID++) {
        if (VERBOSE) {

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Examples of org.apache.lucene.queries.function.ValueSource

          fastMatchFilter = NumericRangeFilter.newDoubleRange("field", minAcceptedValue, maxAcceptedValue, true, true);
        }
      } else {
        fastMatchFilter = null;
      }
      ValueSource vs = new DoubleFieldSource("field");
      Facets facets = new DoubleRangeFacetCounts("field", vs, sfc, fastMatchFilter, ranges);
      FacetResult result = facets.getTopChildren(10, "field");
      assertEquals(numRange, result.labelValues.length);
      for(int rangeID=0;rangeID<numRange;rangeID++) {
        if (VERBOSE) {

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Examples of org.apache.lucene.queries.function.ValueSource

    writer.addDocument(doc);


    // Test wants 3 docs in one segment:
    writer.forceMerge(1);


    final ValueSource vs = new ValueSource() {
        @SuppressWarnings("rawtypes")
        @Override
        public FunctionValues getValues(Map ignored, AtomicReaderContext ignored2) {
          return new DoubleDocValues(null) {
            @Override

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Examples of org.apache.lucene.queries.function.ValueSource

    }
    
    DirectoryReader r = DirectoryReader.open(iw, true);
    DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);


    ValueSource valueSource = new ValueSource() {
      @Override
      public FunctionValues getValues(@SuppressWarnings("rawtypes") Map context, AtomicReaderContext readerContext) throws IOException {
        final Scorer scorer = (Scorer) context.get("scorer");
        assert scorer != null;
        return new DoubleDocValues(this) {

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Examples of org.apache.lucene.queries.function.ValueSource

    }
    
    DirectoryReader r = DirectoryReader.open(iw, true);
    DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);


    ValueSource valueSource = new LongFieldSource("price");
    FacetsCollector sfc = new FacetsCollector();
    newSearcher(r).search(new MatchAllDocsQuery(), sfc);
    Facets facets = new TaxonomyFacetSumValueSource(taxoReader, config, sfc, valueSource);
    
    assertEquals("dim=a path=[] value=10.0 childCount=2\n  1 (6.0)\n  0 (4.0)\n", facets.getTopChildren(10, "a").toString());

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Examples of org.apache.lucene.queries.function.ValueSource

    IndexSearcher searcher = newSearcher(w.getReader());
    
    // NRT open
    TaxonomyReader tr = new DirectoryTaxonomyReader(tw);


    ValueSource values = new FloatFieldSource("value");


    int iters = atLeast(100);
    for(int iter=0;iter<iters;iter++) {
      String searchToken = tokens[random().nextInt(tokens.length)];
      if (VERBOSE) {

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Examples of org.apache.lucene.queries.function.ValueSource

  public TopDocs drillDown(DoubleRange range) throws IOException {


    // Passing no baseQuery means we drill down on all
    // documents ("browse only"):
    DrillDownQuery q = new DrillDownQuery(null);
    final ValueSource vs = getDistanceValueSource();
    q.add("field", range.getFilter(getBoundingBoxFilter(ORIGIN_LATITUDE, ORIGIN_LONGITUDE, range.max), vs));
    DrillSideways ds = new DrillSideways(searcher, config, (TaxonomyReader) null) {
        @Override
        protected Facets buildFacetsResult(FacetsCollector drillDowns, FacetsCollector[] drillSideways, String[] drillSidewaysDims) throws IOException {        
          assert drillSideways.length == 1;

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Examples of org.apache.lucene.queries.function.ValueSource

    SpatialArgs args = new SpatialArgs(operation, shape);
    if (!Double.isNaN(distErrPct))
      args.setDistErrPct(distErrPct);


    if (score) {
      ValueSource valueSource = strategy.makeDistanceValueSource(shape.getCenter());
      return new CustomScoreQuery(strategy.makeQuery(args), new FunctionQuery(valueSource));
    } else {
      //strategy.makeQuery() could potentially score (isn't well defined) so instead we call
      // makeFilter() and wrap

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Examples of org.apache.lucene.queries.function.ValueSource

  private AbstractAllGroupsCollector<?> createRandomCollector(String groupField, boolean canUseIDV) {
    AbstractAllGroupsCollector<?> selected;
    if (random().nextBoolean()) {
      selected = new TermAllGroupsCollector(groupField);
    } else {
      ValueSource vs = new BytesRefFieldSource(groupField);
      selected = new FunctionAllGroupsCollector(vs, new HashMap<Object, Object>());
    }


    if (VERBOSE) {
      System.out.println("Selected implementation: " + selected.getClass().getName());

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Examples of org.apache.lucene.queries.function.ValueSource

  }


  private AbstractFirstPassGroupingCollector<?> createRandomFirstPassCollector(String groupField, Sort groupSort, int topDocs) throws IOException {
    AbstractFirstPassGroupingCollector<?> selected;
    if (random().nextBoolean()) {
      ValueSource vs = new BytesRefFieldSource(groupField);
      selected = new FunctionFirstPassGroupingCollector(vs, new HashMap<Object, Object>(), groupSort, topDocs);
    } else {
      selected = new TermFirstPassGroupingCollector(groupField, groupSort, topDocs);
    }
    if (VERBOSE) {

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