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/*
* Licensed to Elasticsearch 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.datehistogram;
import com.carrotsearch.hppc.LongObjectOpenHashMap;
import org.apache.lucene.util.CollectionUtil;
import org.elasticsearch.common.Strings;
import org.elasticsearch.common.bytes.BytesReference;
import org.elasticsearch.common.bytes.HashedBytesArray;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.common.recycler.Recycler;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentBuilderString;
import org.elasticsearch.search.facet.Facet;
import java.io.IOException;
import java.util.*;
/**
*
*/
public class InternalFullDateHistogramFacet extends InternalDateHistogramFacet {
private static final BytesReference STREAM_TYPE = new HashedBytesArray(Strings.toUTF8Bytes("fdHistogram"));
public static void registerStreams() {
Streams.registerStream(STREAM, STREAM_TYPE);
}
static Stream STREAM = new Stream() {
@Override
public Facet readFacet(StreamInput in) throws IOException {
return readHistogramFacet(in);
}
};
@Override
public BytesReference streamType() {
return STREAM_TYPE;
}
/**
* A histogram entry representing a single entry within the result of a histogram facet.
*/
public static class FullEntry implements Entry {
private final long time;
long count;
long totalCount;
double total;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
public FullEntry(long time, long count, double min, double max, long totalCount, double total) {
this.time = time;
this.count = count;
this.min = min;
this.max = max;
this.totalCount = totalCount;
this.total = total;
}
@Override
public long getTime() {
return time;
}
@Override
public long getCount() {
return count;
}
@Override
public double getTotal() {
return total;
}
@Override
public long getTotalCount() {
return totalCount;
}
@Override
public double getMean() {
if (totalCount == 0) {
return totalCount;
}
return total / totalCount;
}
@Override
public double getMin() {
return this.min;
}
@Override
public double getMax() {
return this.max;
}
}
private ComparatorType comparatorType;
List entries;
InternalFullDateHistogramFacet() {
}
InternalFullDateHistogramFacet(String name) {
super(name);
}
public InternalFullDateHistogramFacet(String name, ComparatorType comparatorType, List entries) {
super(name);
this.comparatorType = comparatorType;
this.entries = entries;
}
@Override
public List getEntries() {
return entries;
}
@Override
public Iterator iterator() {
return (Iterator) getEntries().iterator();
}
@Override
public Facet reduce(ReduceContext context) {
List facets = context.facets();
if (facets.size() == 1) {
// we need to sort it
InternalFullDateHistogramFacet internalFacet = (InternalFullDateHistogramFacet) facets.get(0);
List entries = internalFacet.getEntries();
CollectionUtil.timSort(entries, comparatorType.comparator());
return internalFacet;
}
Recycler.V> map = context.cacheRecycler().longObjectMap(-1);
for (Facet facet : facets) {
InternalFullDateHistogramFacet histoFacet = (InternalFullDateHistogramFacet) facet;
for (FullEntry fullEntry : histoFacet.entries) {
FullEntry current = map.v().get(fullEntry.time);
if (current != null) {
current.count += fullEntry.count;
current.total += fullEntry.total;
current.totalCount += fullEntry.totalCount;
if (fullEntry.min < current.min) {
current.min = fullEntry.min;
}
if (fullEntry.max > current.max) {
current.max = fullEntry.max;
}
} else {
map.v().put(fullEntry.time, fullEntry);
}
}
}
// sort
// TODO: hppc - not happy with toArray
Object[] values = map.v().values().toArray();
Arrays.sort(values, (Comparator) comparatorType.comparator());
List ordered = new ArrayList<>(map.v().size());
for (int i = 0; i < map.v().size(); i++) {
FullEntry value = (FullEntry) values[i];
if (value == null) {
break;
}
ordered.add(value);
}
map.close();
// just initialize it as already ordered facet
InternalFullDateHistogramFacet ret = new InternalFullDateHistogramFacet(getName());
ret.comparatorType = comparatorType;
ret.entries = ordered;
return ret;
}
static final class Fields {
static final XContentBuilderString _TYPE = new XContentBuilderString("_type");
static final XContentBuilderString ENTRIES = new XContentBuilderString("entries");
static final XContentBuilderString TIME = new XContentBuilderString("time");
static final XContentBuilderString COUNT = new XContentBuilderString("count");
static final XContentBuilderString TOTAL = new XContentBuilderString("total");
static final XContentBuilderString TOTAL_COUNT = new XContentBuilderString("total_count");
static final XContentBuilderString MEAN = new XContentBuilderString("mean");
static final XContentBuilderString MIN = new XContentBuilderString("min");
static final XContentBuilderString MAX = new XContentBuilderString("max");
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startObject(getName());
builder.field(Fields._TYPE, TYPE);
builder.startArray(Fields.ENTRIES);
for (Entry entry : getEntries()) {
builder.startObject();
builder.field(Fields.TIME, entry.getTime());
builder.field(Fields.COUNT, entry.getCount());
builder.field(Fields.MIN, entry.getMin());
builder.field(Fields.MAX, entry.getMax());
builder.field(Fields.TOTAL, entry.getTotal());
builder.field(Fields.TOTAL_COUNT, entry.getTotalCount());
builder.field(Fields.MEAN, entry.getMean());
builder.endObject();
}
builder.endArray();
builder.endObject();
return builder;
}
public static InternalFullDateHistogramFacet readHistogramFacet(StreamInput in) throws IOException {
InternalFullDateHistogramFacet facet = new InternalFullDateHistogramFacet();
facet.readFrom(in);
return facet;
}
@Override
public void readFrom(StreamInput in) throws IOException {
super.readFrom(in);
comparatorType = ComparatorType.fromId(in.readByte());
int size = in.readVInt();
entries = new ArrayList<>(size);
for (int i = 0; i < size; i++) {
entries.add(new FullEntry(in.readLong(), in.readVLong(), in.readDouble(), in.readDouble(), in.readVLong(), in.readDouble()));
}
}
@Override
public void writeTo(StreamOutput out) throws IOException {
super.writeTo(out);
out.writeByte(comparatorType.id());
out.writeVInt(entries.size());
for (FullEntry entry : entries) {
out.writeLong(entry.time);
out.writeVLong(entry.count);
out.writeDouble(entry.min);
out.writeDouble(entry.max);
out.writeVLong(entry.totalCount);
out.writeDouble(entry.total);
}
}
}
