/*
* Licensed to Elastic Search and Shay Banon under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. Elastic Search licenses this
* file to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.elasticsearch.search.facet.histogram.unbounded;
import org.elasticsearch.common.CacheRecycler;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.common.trove.iterator.TLongLongIterator;
import org.elasticsearch.common.trove.map.hash.TLongLongHashMap;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentBuilderString;
import org.elasticsearch.search.facet.Facet;
import org.elasticsearch.search.facet.histogram.HistogramFacet;
import org.elasticsearch.search.facet.histogram.InternalHistogramFacet;
import java.io.IOException;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
/**
* @author kimchy (shay.banon)
*/
public class InternalCountHistogramFacet extends InternalHistogramFacet {
private static final String STREAM_TYPE = "cHistogram";
public static void registerStreams() {
Streams.registerStream(STREAM, STREAM_TYPE);
}
static Stream STREAM = new Stream() {
@Override public Facet readFacet(String type, StreamInput in) throws IOException {
return readHistogramFacet(in);
}
};
@Override public String streamType() {
return STREAM_TYPE;
}
/**
* A histogram entry representing a single entry within the result of a histogram facet.
*/
public static class CountEntry implements Entry {
private final long key;
private final long count;
public CountEntry(long key, long count) {
this.key = key;
this.count = count;
}
@Override public long key() {
return key;
}
@Override public long getKey() {
return key();
}
@Override public long count() {
return count;
}
@Override public long getCount() {
return count();
}
@Override public double total() {
return Double.NaN;
}
@Override public double getTotal() {
return total();
}
@Override public long totalCount() {
return 0;
}
@Override public long getTotalCount() {
return 0;
}
@Override public double mean() {
return Double.NaN;
}
@Override public double getMean() {
return mean();
}
@Override public double min() {
return Double.NaN;
}
@Override public double getMin() {
return Double.NaN;
}
@Override public double max() {
return Double.NaN;
}
@Override public double getMax() {
return Double.NaN;
}
}
private String name;
ComparatorType comparatorType;
TLongLongHashMap counts;
boolean cachedCounts;
CountEntry[] entries = null;
private InternalCountHistogramFacet() {
}
public InternalCountHistogramFacet(String name, ComparatorType comparatorType, TLongLongHashMap counts, boolean cachedCounts) {
this.name = name;
this.comparatorType = comparatorType;
this.counts = counts;
this.cachedCounts = cachedCounts;
}
@Override public String name() {
return this.name;
}
@Override public String getName() {
return name();
}
@Override public String type() {
return TYPE;
}
@Override public String getType() {
return type();
}
@Override public List<CountEntry> entries() {
return Arrays.asList(computeEntries());
}
@Override public List<CountEntry> getEntries() {
return entries();
}
@Override public Iterator<Entry> iterator() {
return (Iterator) entries().iterator();
}
private CountEntry[] computeEntries() {
if (entries != null) {
return entries;
}
entries = new CountEntry[counts.size()];
int i = 0;
for (TLongLongIterator it = counts.iterator(); it.hasNext();) {
it.advance();
entries[i++] = new CountEntry(it.key(), it.value());
}
releaseCache();
Arrays.sort(entries, comparatorType.comparator());
return entries;
}
void releaseCache() {
if (cachedCounts) {
CacheRecycler.pushLongLongMap(counts);
cachedCounts = false;
counts = null;
}
}
@Override public Facet reduce(String name, List<Facet> facets) {
if (facets.size() == 1) {
return facets.get(0);
}
TLongLongHashMap counts = CacheRecycler.popLongLongMap();
for (Facet facet : facets) {
InternalCountHistogramFacet histoFacet = (InternalCountHistogramFacet) facet;
for (TLongLongIterator it = histoFacet.counts.iterator(); it.hasNext();) {
it.advance();
counts.adjustOrPutValue(it.key(), it.value(), it.value());
}
histoFacet.releaseCache();
}
return new InternalCountHistogramFacet(name, comparatorType, counts, true);
}
static final class Fields {
static final XContentBuilderString _TYPE = new XContentBuilderString("_type");
static final XContentBuilderString ENTRIES = new XContentBuilderString("entries");
static final XContentBuilderString KEY = new XContentBuilderString("key");
static final XContentBuilderString COUNT = new XContentBuilderString("count");
}
@Override public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startObject(name);
builder.field(Fields._TYPE, HistogramFacet.TYPE);
builder.startArray(Fields.ENTRIES);
for (Entry entry : computeEntries()) {
builder.startObject();
builder.field(Fields.KEY, entry.key());
builder.field(Fields.COUNT, entry.count());
builder.endObject();
}
builder.endArray();
builder.endObject();
return builder;
}
public static InternalCountHistogramFacet readHistogramFacet(StreamInput in) throws IOException {
InternalCountHistogramFacet facet = new InternalCountHistogramFacet();
facet.readFrom(in);
return facet;
}
@Override public void readFrom(StreamInput in) throws IOException {
name = in.readUTF();
comparatorType = ComparatorType.fromId(in.readByte());
int size = in.readVInt();
counts = CacheRecycler.popLongLongMap();
cachedCounts = true;
for (int i = 0; i < size; i++) {
long key = in.readLong();
counts.put(key, in.readVLong());
}
}
@Override public void writeTo(StreamOutput out) throws IOException {
out.writeUTF(name);
out.writeByte(comparatorType.id());
// optimize the write, since we know we have the same buckets as keys
out.writeVInt(counts.size());
for (TLongLongIterator it = counts.iterator(); it.hasNext();) {
it.advance();
out.writeLong(it.key());
out.writeVLong(it.value());
}
releaseCache();
}
}