/* * Licensed to ElasticSearch and Shay Banon under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. ElasticSearch 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.bounded; import org.elasticsearch.common.CacheRecycler; import org.elasticsearch.common.io.stream.StreamInput; import org.elasticsearch.common.io.stream.StreamOutput; 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; /** * */ public class InternalBoundedCountHistogramFacet extends InternalHistogramFacet { private static final String STREAM_TYPE = "cBdHistogram"; 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; boolean cachedCounts; int[] counts; int size; long interval; long offset; CountEntry[] entries = null; private InternalBoundedCountHistogramFacet() { } public InternalBoundedCountHistogramFacet(String name, ComparatorType comparatorType, long interval, long offset, int size, int[] counts, boolean cachedCounts) { this.name = name; this.comparatorType = comparatorType; this.interval = interval; this.offset = offset; this.counts = counts; this.size = size; 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[size]; for (int i = 0; i < size; i++) { entries[i] = new CountEntry((i * interval) + offset, counts[i]); } releaseCache(); return entries; } void releaseCache() { if (cachedCounts) { cachedCounts = false; CacheRecycler.pushIntArray(counts); counts = null; } } @Override public Facet reduce(String name, List<Facet> facets) { if (facets.size() == 1) { InternalBoundedCountHistogramFacet firstHistoFacet = (InternalBoundedCountHistogramFacet) facets.get(0); if (comparatorType != ComparatorType.KEY) { Arrays.sort(firstHistoFacet.entries, comparatorType.comparator()); } return facets.get(0); } InternalBoundedCountHistogramFacet firstHistoFacet = (InternalBoundedCountHistogramFacet) facets.get(0); for (int i = 1; i < facets.size(); i++) { InternalBoundedCountHistogramFacet histoFacet = (InternalBoundedCountHistogramFacet) facets.get(i); for (int j = 0; j < firstHistoFacet.size; j++) { firstHistoFacet.counts[j] += histoFacet.counts[j]; } histoFacet.releaseCache(); } if (comparatorType != ComparatorType.KEY) { Arrays.sort(firstHistoFacet.entries, comparatorType.comparator()); } return firstHistoFacet; } 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 (int i = 0; i < size; i++) { builder.startObject(); builder.field(Fields.KEY, (i * interval) + offset); builder.field(Fields.COUNT, counts[i]); builder.endObject(); } builder.endArray(); builder.endObject(); releaseCache(); return builder; } public static InternalBoundedCountHistogramFacet readHistogramFacet(StreamInput in) throws IOException { InternalBoundedCountHistogramFacet facet = new InternalBoundedCountHistogramFacet(); facet.readFrom(in); return facet; } @Override public void readFrom(StreamInput in) throws IOException { name = in.readUTF(); comparatorType = ComparatorType.fromId(in.readByte()); offset = in.readLong(); interval = in.readVLong(); size = in.readVInt(); counts = CacheRecycler.popIntArray(size); cachedCounts = true; for (int i = 0; i < size; i++) { counts[i] = in.readVInt(); } } @Override public void writeTo(StreamOutput out) throws IOException { out.writeUTF(name); out.writeByte(comparatorType.id()); out.writeLong(offset); out.writeVLong(interval); out.writeVInt(size); for (int i = 0; i < size; i++) { out.writeVInt(counts[i]); } releaseCache(); } }