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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.aggregations.bucket.histogram;
import org.apache.lucene.util.CollectionUtil;
import org.apache.lucene.util.PriorityQueue;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.common.rounding.Rounding;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.search.aggregations.AggregationExecutionException;
import org.elasticsearch.search.aggregations.AggregationStreams;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.InternalAggregations;
import org.elasticsearch.search.aggregations.InternalMultiBucketAggregation;
import org.elasticsearch.search.aggregations.bucket.BucketStreamContext;
import org.elasticsearch.search.aggregations.bucket.BucketStreams;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
import org.elasticsearch.search.aggregations.support.format.ValueFormatterStreams;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Iterator;
import java.util.List;
import java.util.ListIterator;
import java.util.Map;
/**
* TODO should be renamed to InternalNumericHistogram (see comment on {@link Histogram})?
*/
public class InternalHistogram extends InternalMultiBucketAggregation implements
Histogram {
final static Type TYPE = new Type("histogram", "histo");
private final static AggregationStreams.Stream STREAM = new AggregationStreams.Stream() {
@Override
public InternalHistogram readResult(StreamInput in) throws IOException {
InternalHistogram histogram = new InternalHistogram();
histogram.readFrom(in);
return histogram;
}
};
private final static BucketStreams.Stream BUCKET_STREAM = new BucketStreams.Stream() {
@Override
public Bucket readResult(StreamInput in, BucketStreamContext context) throws IOException {
Factory factory = (Factory) context.attributes().get("factory");
if (factory == null) {
throw new IllegalStateException("No factory found for histogram buckets");
}
Bucket histogram = new Bucket(context.keyed(), context.formatter(), factory);
histogram.readFrom(in);
return histogram;
}
@Override
public BucketStreamContext getBucketStreamContext(Bucket bucket) {
BucketStreamContext context = new BucketStreamContext();
context.formatter(bucket.formatter);
context.keyed(bucket.keyed);
return context;
}
};
public static void registerStream() {
AggregationStreams.registerStream(STREAM, TYPE.stream());
BucketStreams.registerStream(BUCKET_STREAM, TYPE.stream());
}
public static class Bucket extends InternalMultiBucketAggregation.InternalBucket implements Histogram.Bucket {
long key;
long docCount;
InternalAggregations aggregations;
private transient final boolean keyed;
protected transient final ValueFormatter formatter;
private Factory factory;
public Bucket(boolean keyed, ValueFormatter formatter, Factory factory) {
this.formatter = formatter;
this.keyed = keyed;
this.factory = factory;
}
public Bucket(long key, long docCount, boolean keyed, ValueFormatter formatter, Factory factory,
InternalAggregations aggregations) {
this(keyed, formatter, factory);
this.key = key;
this.docCount = docCount;
this.aggregations = aggregations;
}
protected Factory getFactory() {
return factory;
}
@Override
public String getKeyAsString() {
return formatter != null ? formatter.format(key) : ValueFormatter.RAW.format(key);
}
@Override
public Object getKey() {
return key;
}
@Override
public long getDocCount() {
return docCount;
}
@Override
public Aggregations getAggregations() {
return aggregations;
}
B reduce(List buckets, ReduceContext context) {
List aggregations = new ArrayList<>(buckets.size());
long docCount = 0;
for (Bucket bucket : buckets) {
docCount += bucket.docCount;
aggregations.add((InternalAggregations) bucket.getAggregations());
}
InternalAggregations aggs = InternalAggregations.reduce(aggregations, context);
return (B) getFactory().createBucket(key, docCount, aggs, keyed, formatter);
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
if (formatter != ValueFormatter.RAW) {
Text keyTxt = new Text(formatter.format(key));
if (keyed) {
builder.startObject(keyTxt.string());
} else {
builder.startObject();
}
builder.field(CommonFields.KEY_AS_STRING, keyTxt);
} else {
if (keyed) {
builder.startObject(String.valueOf(getKey()));
} else {
builder.startObject();
}
}
builder.field(CommonFields.KEY, key);
builder.field(CommonFields.DOC_COUNT, docCount);
aggregations.toXContentInternal(builder, params);
builder.endObject();
return builder;
}
@Override
public void readFrom(StreamInput in) throws IOException {
key = in.readLong();
docCount = in.readVLong();
aggregations = InternalAggregations.readAggregations(in);
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeLong(key);
out.writeVLong(docCount);
aggregations.writeTo(out);
}
public ValueFormatter getFormatter() {
return formatter;
}
public boolean getKeyed() {
return keyed;
}
}
static class EmptyBucketInfo {
final Rounding rounding;
final InternalAggregations subAggregations;
final ExtendedBounds bounds;
EmptyBucketInfo(Rounding rounding, InternalAggregations subAggregations) {
this(rounding, subAggregations, null);
}
EmptyBucketInfo(Rounding rounding, InternalAggregations subAggregations, ExtendedBounds bounds) {
this.rounding = rounding;
this.subAggregations = subAggregations;
this.bounds = bounds;
}
public static EmptyBucketInfo readFrom(StreamInput in) throws IOException {
Rounding rounding = Rounding.Streams.read(in);
InternalAggregations aggs = InternalAggregations.readAggregations(in);
if (in.readBoolean()) {
return new EmptyBucketInfo(rounding, aggs, ExtendedBounds.readFrom(in));
}
return new EmptyBucketInfo(rounding, aggs);
}
public static void writeTo(EmptyBucketInfo info, StreamOutput out) throws IOException {
Rounding.Streams.write(info.rounding, out);
info.subAggregations.writeTo(out);
out.writeBoolean(info.bounds != null);
if (info.bounds != null) {
info.bounds.writeTo(out);
}
}
}
public static class Factory {
protected Factory() {
}
public String type() {
return TYPE.name();
}
public InternalHistogram create(String name, List buckets, InternalOrder order, long minDocCount,
EmptyBucketInfo emptyBucketInfo, ValueFormatter formatter, boolean keyed,
List pipelineAggregators,
Map metaData) {
return new InternalHistogram<>(name, buckets, order, minDocCount, emptyBucketInfo, formatter, keyed, this, pipelineAggregators,
metaData);
}
public InternalHistogram create(List buckets, InternalHistogram prototype) {
return new InternalHistogram<>(prototype.name, buckets, prototype.order, prototype.minDocCount, prototype.emptyBucketInfo,
prototype.formatter, prototype.keyed, this, prototype.pipelineAggregators(), prototype.metaData);
}
public B createBucket(InternalAggregations aggregations, B prototype) {
return (B) new Bucket(prototype.key, prototype.docCount, prototype.getKeyed(), prototype.formatter, this, aggregations);
}
public B createBucket(Object key, long docCount, InternalAggregations aggregations, boolean keyed, ValueFormatter formatter) {
if (key instanceof Number) {
return (B) new Bucket(((Number) key).longValue(), docCount, keyed, formatter, this, aggregations);
} else {
throw new AggregationExecutionException("Expected key of type Number but got [" + key + "]");
}
}
protected B createEmptyBucket(boolean keyed, ValueFormatter formatter) {
return (B) new Bucket(keyed, formatter, this);
}
}
protected List buckets;
private InternalOrder order;
private ValueFormatter formatter;
private boolean keyed;
private long minDocCount;
private EmptyBucketInfo emptyBucketInfo;
protected Factory factory;
InternalHistogram() {} // for serialization
InternalHistogram(String name, List buckets, InternalOrder order, long minDocCount, EmptyBucketInfo emptyBucketInfo,
ValueFormatter formatter, boolean keyed, Factory factory, List pipelineAggregators,
Map metaData) {
super(name, pipelineAggregators, metaData);
this.buckets = buckets;
this.order = order;
assert (minDocCount == 0) == (emptyBucketInfo != null);
this.minDocCount = minDocCount;
this.emptyBucketInfo = emptyBucketInfo;
this.formatter = formatter;
this.keyed = keyed;
this.factory = factory;
}
@Override
public Type type() {
return TYPE;
}
@Override
public List getBuckets() {
return buckets;
}
public Factory getFactory() {
return factory;
}
public Rounding getRounding() {
return emptyBucketInfo.rounding;
}
@Override
public InternalHistogram create(List buckets) {
return getFactory().create(buckets, this);
}
@Override
public B createBucket(InternalAggregations aggregations, B prototype) {
return getFactory().createBucket(aggregations, prototype);
}
private static class IteratorAndCurrent {
private final Iterator iterator;
private B current;
IteratorAndCurrent(Iterator iterator) {
this.iterator = iterator;
current = iterator.next();
}
}
private List reduceBuckets(List aggregations, ReduceContext reduceContext) {
final PriorityQueue> pq = new PriorityQueue>(aggregations.size()) {
@Override
protected boolean lessThan(IteratorAndCurrent a, IteratorAndCurrent b) {
return a.current.key < b.current.key;
}
};
for (InternalAggregation aggregation : aggregations) {
InternalHistogram histogram = (InternalHistogram) aggregation;
if (histogram.buckets.isEmpty() == false) {
pq.add(new IteratorAndCurrent<>(histogram.buckets.iterator()));
}
}
List reducedBuckets = new ArrayList<>();
if (pq.size() > 0) {
// list of buckets coming from different shards that have the same key
List currentBuckets = new ArrayList<>();
long key = pq.top().current.key;
do {
final IteratorAndCurrent top = pq.top();
if (top.current.key != key) {
// the key changes, reduce what we already buffered and reset the buffer for current buckets
final B reduced = currentBuckets.get(0).reduce(currentBuckets, reduceContext);
if (reduced.getDocCount() >= minDocCount) {
reducedBuckets.add(reduced);
}
currentBuckets.clear();
key = top.current.key;
}
currentBuckets.add(top.current);
if (top.iterator.hasNext()) {
final B next = top.iterator.next();
assert next.key > top.current.key : "shards must return data sorted by key";
top.current = next;
pq.updateTop();
} else {
pq.pop();
}
} while (pq.size() > 0);
if (currentBuckets.isEmpty() == false) {
final B reduced = currentBuckets.get(0).reduce(currentBuckets, reduceContext);
if (reduced.getDocCount() >= minDocCount) {
reducedBuckets.add(reduced);
}
}
}
return reducedBuckets;
}
private void addEmptyBuckets(List list, ReduceContext reduceContext) {
B lastBucket = null;
ExtendedBounds bounds = emptyBucketInfo.bounds;
ListIterator iter = list.listIterator();
// first adding all the empty buckets *before* the actual data (based on th extended_bounds.min the user requested)
InternalAggregations reducedEmptySubAggs = InternalAggregations.reduce(Collections.singletonList(emptyBucketInfo.subAggregations),
reduceContext);
if (bounds != null) {
B firstBucket = iter.hasNext() ? list.get(iter.nextIndex()) : null;
if (firstBucket == null) {
if (bounds.min != null && bounds.max != null) {
long key = bounds.min;
long max = bounds.max;
while (key <= max) {
iter.add(getFactory().createBucket(key, 0,
reducedEmptySubAggs,
keyed, formatter));
key = emptyBucketInfo.rounding.nextRoundingValue(key);
}
}
} else {
if (bounds.min != null) {
long key = bounds.min;
if (key < firstBucket.key) {
while (key < firstBucket.key) {
iter.add(getFactory().createBucket(key, 0,
reducedEmptySubAggs,
keyed, formatter));
key = emptyBucketInfo.rounding.nextRoundingValue(key);
}
}
}
}
}
// now adding the empty buckets within the actual data,
// e.g. if the data series is [1,2,3,7] there're 3 empty buckets that will be created for 4,5,6
while (iter.hasNext()) {
B nextBucket = list.get(iter.nextIndex());
if (lastBucket != null) {
long key = emptyBucketInfo.rounding.nextRoundingValue(lastBucket.key);
while (key < nextBucket.key) {
iter.add(getFactory().createBucket(key, 0,
reducedEmptySubAggs, keyed,
formatter));
key = emptyBucketInfo.rounding.nextRoundingValue(key);
}
assert key == nextBucket.key;
}
lastBucket = iter.next();
}
// finally, adding the empty buckets *after* the actual data (based on the extended_bounds.max requested by the user)
if (bounds != null && lastBucket != null && bounds.max != null && bounds.max > lastBucket.key) {
long key = emptyBucketInfo.rounding.nextRoundingValue(lastBucket.key);
long max = bounds.max;
while (key <= max) {
iter.add(getFactory().createBucket(key, 0,
reducedEmptySubAggs, keyed,
formatter));
key = emptyBucketInfo.rounding.nextRoundingValue(key);
}
}
}
@Override
public InternalAggregation doReduce(List aggregations, ReduceContext reduceContext) {
List reducedBuckets = reduceBuckets(aggregations, reduceContext);
// adding empty buckets if needed
if (minDocCount == 0) {
addEmptyBuckets(reducedBuckets, reduceContext);
}
if (order == InternalOrder.KEY_ASC) {
// nothing to do, data are already sorted since shards return
// sorted buckets and the merge-sort performed by reduceBuckets
// maintains order
} else if (order == InternalOrder.KEY_DESC) {
// we just need to reverse here...
List reverse = new ArrayList<>(reducedBuckets);
Collections.reverse(reverse);
reducedBuckets = reverse;
} else {
// sorted by sub-aggregation, need to fall back to a costly n*log(n) sort
CollectionUtil.introSort(reducedBuckets, order.comparator());
}
return getFactory().create(getName(), reducedBuckets, order, minDocCount, emptyBucketInfo, formatter, keyed, pipelineAggregators(),
getMetaData());
}
@Override
protected void doReadFrom(StreamInput in) throws IOException {
this.factory = resolveFactory(in.readString());
order = InternalOrder.Streams.readOrder(in);
minDocCount = in.readVLong();
if (minDocCount == 0) {
emptyBucketInfo = EmptyBucketInfo.readFrom(in);
}
formatter = ValueFormatterStreams.readOptional(in);
keyed = in.readBoolean();
int size = in.readVInt();
List buckets = new ArrayList<>(size);
for (int i = 0; i < size; i++) {
B bucket = getFactory().createEmptyBucket(keyed, formatter);
bucket.readFrom(in);
buckets.add(bucket);
}
this.buckets = buckets;
}
@SuppressWarnings("unchecked")
private static Factory resolveFactory(String factoryType) {
if (factoryType.equals(InternalDateHistogram.TYPE.name())) {
return (Factory) new InternalDateHistogram.Factory();
} else if (factoryType.equals(TYPE.name())) {
return new Factory<>();
} else {
throw new IllegalStateException("Invalid histogram factory type [" + factoryType + "]");
}
}
@Override
protected void doWriteTo(StreamOutput out) throws IOException {
out.writeString(factory.type());
InternalOrder.Streams.writeOrder(order, out);
out.writeVLong(minDocCount);
if (minDocCount == 0) {
EmptyBucketInfo.writeTo(emptyBucketInfo, out);
}
ValueFormatterStreams.writeOptional(formatter, out);
out.writeBoolean(keyed);
out.writeVInt(buckets.size());
for (B bucket : buckets) {
bucket.writeTo(out);
}
}
@Override
public XContentBuilder doXContentBody(XContentBuilder builder, Params params) throws IOException {
if (keyed) {
builder.startObject(CommonFields.BUCKETS);
} else {
builder.startArray(CommonFields.BUCKETS);
}
for (B bucket : buckets) {
bucket.toXContent(builder, params);
}
if (keyed) {
builder.endObject();
} else {
builder.endArray();
}
return builder;
}
}