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Bobo is a Faceted Search implementation written purely in Java, an extension of Apache Lucene
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package com.browseengine.bobo.facets.impl;
import java.io.IOException;
import java.text.DecimalFormat;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashSet;
import java.util.List;
import java.util.Properties;
import com.browseengine.bobo.api.BoboSegmentReader;
import com.browseengine.bobo.api.BrowseFacet;
import com.browseengine.bobo.api.BrowseSelection;
import com.browseengine.bobo.api.FacetIterator;
import com.browseengine.bobo.api.FacetSpec;
import com.browseengine.bobo.api.FacetSpec.FacetSortSpec;
import com.browseengine.bobo.api.IntFacetIterator;
import com.browseengine.bobo.facets.FacetCountCollector;
import com.browseengine.bobo.facets.FacetCountCollectorSource;
import com.browseengine.bobo.facets.FacetHandler;
import com.browseengine.bobo.facets.FacetHandler.FacetDataNone;
import com.browseengine.bobo.facets.RuntimeFacetHandler;
import com.browseengine.bobo.facets.data.FacetDataCache;
import com.browseengine.bobo.facets.data.TermIntList;
import com.browseengine.bobo.facets.data.TermLongList;
import com.browseengine.bobo.facets.data.TermValueList;
import com.browseengine.bobo.facets.filter.RandomAccessFilter;
import com.browseengine.bobo.sort.DocComparatorSource;
import com.browseengine.bobo.util.BigSegmentedArray;
import com.browseengine.bobo.util.LazyBigIntArray;
public class HistogramFacetHandler extends RuntimeFacetHandler {
private final String _dataHandlerName;
private final T _start;
private final T _end;
private final T _unit;
private FacetHandler _dataFacetHandler;
public HistogramFacetHandler(String name, String dataHandlerName, T start, T end, T unit) {
super(name, new HashSet(Arrays.asList(new String[] { dataHandlerName })));
_dataHandlerName = dataHandlerName;
_start = start;
_end = end;
_unit = unit;
}
@Override
public FacetDataNone load(BoboSegmentReader reader) throws IOException {
_dataFacetHandler = reader.getFacetHandler(_dataHandlerName);
if (_dataFacetHandler instanceof RangeFacetHandler) {
if (((RangeFacetHandler) _dataFacetHandler).hasPredefinedRanges()) {
throw new UnsupportedOperationException(
"underlying range facet handler should not have the predefined ranges");
}
}
return FacetDataNone.instance;
}
@Override
public DocComparatorSource getDocComparatorSource() {
throw new UnsupportedOperationException();
}
@Override
public String[] getFieldValues(BoboSegmentReader reader, int id) {
return null;
}
@Override
public Object[] getRawFieldValues(BoboSegmentReader reader, int id) {
return null;
}
@Override
public RandomAccessFilter buildRandomAccessFilter(String value, Properties prop)
throws IOException {
return _dataFacetHandler.buildRandomAccessFilter(value, prop);
}
@Override
public RandomAccessFilter buildRandomAccessAndFilter(String[] vals, Properties prop)
throws IOException {
return _dataFacetHandler.buildRandomAccessAndFilter(vals, prop);
}
@Override
public RandomAccessFilter buildRandomAccessOrFilter(String[] vals, Properties prop, boolean isNot)
throws IOException {
return _dataFacetHandler.buildRandomAccessOrFilter(vals, prop, isNot);
}
@Override
public FacetCountCollectorSource getFacetCountCollectorSource(final BrowseSelection sel,
final FacetSpec ospec) {
final FacetCountCollectorSource baseCollectorSrc = _dataFacetHandler
.getFacetCountCollectorSource(sel, ospec);
return new FacetCountCollectorSource() {
@Override
public FacetCountCollector getFacetCountCollector(BoboSegmentReader reader, int docBase) {
FacetDataCache dataCache = (FacetDataCache) reader.getFacetData(_dataHandlerName);
FacetCountCollector baseCollector = baseCollectorSrc
.getFacetCountCollector(reader, docBase);
return new HistogramCollector(getName(), baseCollector, dataCache, ospec, _start, _end,
_unit);
}
};
}
public static class HistogramCollector implements FacetCountCollector {
private final DecimalFormat _formatter = new DecimalFormat("0000000000");
private final FacetSpec _ospec;
private final T _start;
private final T _end;
private final T _unit;
private final BigSegmentedArray _count;
private final TermValueList _valArray;
private final FacetCountCollector _baseCollector;
private final String _facetName;
private boolean _isAggregated;
protected HistogramCollector(String facetName, FacetCountCollector baseCollector,
FacetDataCache dataCache, FacetSpec ospec, T start, T end, T unit) {
_facetName = facetName;
_baseCollector = baseCollector;
_valArray = dataCache.valArray;
_ospec = ospec;
_isAggregated = false;
_start = start;
_end = end;
_unit = unit;
_count = new LazyBigIntArray(countArraySize());
}
private int countArraySize() {
if (_start instanceof Long) {
long range = _end.longValue() - _start.longValue();
return (int) (range / _unit.longValue()) + 1;
} else if (_start instanceof Integer) {
int range = _end.intValue() - _start.intValue();
return (range / _unit.intValue()) + 1;
} else {
double range = _end.doubleValue() - _start.doubleValue();
return (int) (range / _unit.doubleValue()) + 1;
}
}
/**
* not supported
*/
@Override
public BigSegmentedArray getCountDistribution() {
if (!_isAggregated) aggregate();
return _count;
}
@Override
public BrowseFacet getFacet(String value) {
if (!_isAggregated) aggregate();
int idx = Integer.parseInt(value);
if (idx >= 0 && idx < _count.size()) {
return new BrowseFacet(value, _count.get(idx));
}
return null;
}
@Override
public int getFacetHitsCount(Object value) {
if (!_isAggregated) aggregate();
int idx;
if (value instanceof String) idx = Integer.parseInt((String) value);
else idx = ((Number) value).intValue();
if (idx >= 0 && idx < _count.size()) {
return _count.get(idx);
}
return 0;
}
@Override
public final void collect(int docid) {
_baseCollector.collect(docid);
}
@Override
public final void collectAll() {
_baseCollector.collectAll();
}
private void aggregate() {
if (_isAggregated) return;
_isAggregated = true;
int startIdx = _valArray.indexOf(_start);
if (startIdx < 0) startIdx = -(startIdx + 1);
int endIdx = _valArray.indexOf(_end);
if (endIdx < 0) endIdx = -(endIdx + 1);
BigSegmentedArray baseCounts = _baseCollector.getCountDistribution();
if (_start instanceof Long) {
long start = _start.longValue();
long unit = _unit.longValue();
TermLongList valArray = (TermLongList) _valArray;
for (int i = startIdx; i < endIdx; i++) {
long val = valArray.getPrimitiveValue(i);
int idx = (int) ((val - start) / unit);
if (idx >= 0 && idx < _count.size()) {
_count.add(idx, _count.get(idx) + baseCounts.get(i));
}
}
} else if (_start instanceof Integer) {
int start = _start.intValue();
int unit = _unit.intValue();
TermIntList valArray = (TermIntList) _valArray;
for (int i = startIdx; i < endIdx; i++) {
int val = valArray.getPrimitiveValue(i);
int idx = ((val - start) / unit);
if (idx >= 0 && idx < _count.size()) {
_count.add(idx, _count.get(idx) + baseCounts.get(i));
}
}
} else {
double start = _start.doubleValue();
double unit = _unit.doubleValue();
for (int i = startIdx; i < endIdx; i++) {
Number val = (Number) _valArray.getRawValue(i);
int idx = (int) ((val.doubleValue() - start) / unit);
if (idx >= 0 && idx < _count.size()) {
_count.add(idx, _count.get(idx) + baseCounts.get(i));
}
}
}
}
@Override
public List getFacets() {
if (_ospec != null) {
int minCount = _ospec.getMinHitCount();
int max = _ospec.getMaxCount();
if (max <= 0) max = _count.size();
List facetColl;
FacetSortSpec sortspec = _ospec.getOrderBy();
if (sortspec == FacetSortSpec.OrderValueAsc) {
facetColl = new ArrayList(max);
for (int i = 0; i < _count.size(); ++i) {
int hits = _count.get(i);
if (hits >= minCount) {
BrowseFacet facet = new BrowseFacet(_formatter.format(i), hits);
facetColl.add(facet);
}
if (facetColl.size() >= max) break;
}
return facetColl;
} else {
return FacetCountCollector.EMPTY_FACET_LIST;
}
} else {
return FacetCountCollector.EMPTY_FACET_LIST;
}
}
@Override
public FacetIterator iterator() {
if (!_isAggregated) aggregate();
return new HistogramFacetIterator(_count, _formatter);
}
@Override
public String getName() {
return _facetName;
}
@Override
public void close() {
}
}
public static class HistogramFacetIterator extends IntFacetIterator {
private final DecimalFormat _formatter;
private final BigSegmentedArray _count;
private final int _maxMinusOne;
private int _idx;
public HistogramFacetIterator(BigSegmentedArray count, DecimalFormat formatter) {
_idx = -1;
_count = count;
_maxMinusOne = count.size() - 1;
_formatter = formatter;
}
@Override
public Integer next() {
if (hasNext()) {
count = _count.get(++_idx);
return (facet = _idx);
}
return null;
}
@Override
public Integer next(int minHits) {
while (_idx < _maxMinusOne) {
if (_count.get(++_idx) >= minHits) {
count = _count.get(_idx);
return (facet = _idx);
}
}
return null;
}
@Override
public int nextInt() {
if (hasNext()) {
count = _count.get(++_idx);
return (facet = _idx);
}
return TermIntList.VALUE_MISSING;
}
@Override
public int nextInt(int minHits) {
while (_idx < _maxMinusOne) {
if (_count.get(++_idx) >= minHits) {
count = _count.get(_idx);
return (facet = _idx);
}
}
return TermIntList.VALUE_MISSING;
}
@Override
public boolean hasNext() {
return (_idx < _maxMinusOne);
}
@Override
public void remove() {
throw new UnsupportedOperationException();
}
@Override
public String format(Object val) {
return _formatter.format(val);
}
@Override
public String format(int val) {
return _formatter.format(val);
}
}
}