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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.significant;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.search.aggregations.AggregationStreams;
import org.elasticsearch.search.aggregations.InternalAggregations;
import org.elasticsearch.search.aggregations.bucket.BucketStreamContext;
import org.elasticsearch.search.aggregations.bucket.BucketStreams;
import org.elasticsearch.search.aggregations.bucket.significant.heuristics.SignificanceHeuristic;
import org.elasticsearch.search.aggregations.bucket.significant.heuristics.SignificanceHeuristicStreams;
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.HashMap;
import java.util.List;
import java.util.Map;
/**
*
*/
public class SignificantLongTerms extends InternalSignificantTerms {
public static final Type TYPE = new Type("significant_terms", "siglterms");
public static final AggregationStreams.Stream STREAM = new AggregationStreams.Stream() {
@Override
public SignificantLongTerms readResult(StreamInput in) throws IOException {
SignificantLongTerms buckets = new SignificantLongTerms();
buckets.readFrom(in);
return buckets;
}
};
private final static BucketStreams.Stream BUCKET_STREAM = new BucketStreams.Stream() {
@Override
public Bucket readResult(StreamInput in, BucketStreamContext context) throws IOException {
Bucket buckets = new Bucket((long) context.attributes().get("subsetSize"), (long) context.attributes().get("supersetSize"),
context.formatter());
buckets.readFrom(in);
return buckets;
}
@Override
public BucketStreamContext getBucketStreamContext(Bucket bucket) {
BucketStreamContext context = new BucketStreamContext();
Map attributes = new HashMap<>();
attributes.put("subsetSize", bucket.subsetSize);
attributes.put("supersetSize", bucket.supersetSize);
context.attributes(attributes);
context.formatter(bucket.formatter);
return context;
}
};
public static void registerStreams() {
AggregationStreams.registerStream(STREAM, TYPE.stream());
BucketStreams.registerStream(BUCKET_STREAM, TYPE.stream());
}
static class Bucket extends InternalSignificantTerms.Bucket {
long term;
private transient final ValueFormatter formatter;
public Bucket(long subsetSize, long supersetSize, ValueFormatter formatter) {
super(subsetSize, supersetSize);
this.formatter = formatter;
// for serialization
}
public Bucket(long subsetDf, long subsetSize, long supersetDf, long supersetSize, long term, InternalAggregations aggregations,
ValueFormatter formatter) {
super(subsetDf, subsetSize, supersetDf, supersetSize, aggregations);
this.formatter = formatter;
this.term = term;
}
public Bucket(long subsetDf, long subsetSize, long supersetDf, long supersetSize, long term, InternalAggregations aggregations, double score) {
this(subsetDf, subsetSize, supersetDf, supersetSize, term, aggregations, null);
this.score = score;
}
@Override
public Object getKey() {
return term;
}
@Override
int compareTerm(SignificantTerms.Bucket other) {
return Long.compare(term, ((Number) other.getKey()).longValue());
}
@Override
public String getKeyAsString() {
return Long.toString(term);
}
@Override
public Number getKeyAsNumber() {
return term;
}
@Override
Bucket newBucket(long subsetDf, long subsetSize, long supersetDf, long supersetSize, InternalAggregations aggregations) {
return new Bucket(subsetDf, subsetSize, supersetDf, supersetSize, term, aggregations, formatter);
}
@Override
public void readFrom(StreamInput in) throws IOException {
subsetDf = in.readVLong();
supersetDf = in.readVLong();
term = in.readLong();
score = in.readDouble();
aggregations = InternalAggregations.readAggregations(in);
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeVLong(subsetDf);
out.writeVLong(supersetDf);
out.writeLong(term);
out.writeDouble(getSignificanceScore());
aggregations.writeTo(out);
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startObject();
builder.field(CommonFields.KEY, term);
if (formatter != null) {
builder.field(CommonFields.KEY_AS_STRING, formatter.format(term));
}
builder.field(CommonFields.DOC_COUNT, getDocCount());
builder.field("score", score);
builder.field("bg_count", supersetDf);
aggregations.toXContentInternal(builder, params);
builder.endObject();
return builder;
}
}
private ValueFormatter formatter;
SignificantLongTerms() {
} // for serialization
public SignificantLongTerms(long subsetSize, long supersetSize, String name, ValueFormatter formatter, int requiredSize,
long minDocCount, SignificanceHeuristic significanceHeuristic, List buckets,
List pipelineAggregators, Map metaData) {
super(subsetSize, supersetSize, name, requiredSize, minDocCount, significanceHeuristic, buckets, pipelineAggregators, metaData);
this.formatter = formatter;
}
@Override
public Type type() {
return TYPE;
}
@Override
public SignificantLongTerms create(List buckets) {
return new SignificantLongTerms(this.subsetSize, this.supersetSize, this.name, this.formatter, this.requiredSize, this.minDocCount,
this.significanceHeuristic, buckets, this.pipelineAggregators(), this.metaData);
}
@Override
public Bucket createBucket(InternalAggregations aggregations, SignificantLongTerms.Bucket prototype) {
return new Bucket(prototype.subsetDf, prototype.subsetSize, prototype.supersetDf, prototype.supersetSize, prototype.term,
aggregations, prototype.formatter);
}
@Override
protected SignificantLongTerms create(long subsetSize, long supersetSize,
List buckets,
InternalSignificantTerms prototype) {
return new SignificantLongTerms(subsetSize, supersetSize, prototype.getName(), ((SignificantLongTerms) prototype).formatter,
prototype.requiredSize, prototype.minDocCount, prototype.significanceHeuristic, buckets, prototype.pipelineAggregators(),
prototype.getMetaData());
}
@Override
protected void doReadFrom(StreamInput in) throws IOException {
this.formatter = ValueFormatterStreams.readOptional(in);
this.requiredSize = readSize(in);
this.minDocCount = in.readVLong();
this.subsetSize = in.readVLong();
this.supersetSize = in.readVLong();
significanceHeuristic = SignificanceHeuristicStreams.read(in);
int size = in.readVInt();
List buckets = new ArrayList<>(size);
for (int i = 0; i < size; i++) {
Bucket bucket = new Bucket(subsetSize, supersetSize, formatter);
bucket.readFrom(in);
buckets.add(bucket);
}
this.buckets = buckets;
this.bucketMap = null;
}
@Override
protected void doWriteTo(StreamOutput out) throws IOException {
ValueFormatterStreams.writeOptional(formatter, out);
writeSize(requiredSize, out);
out.writeVLong(minDocCount);
out.writeVLong(subsetSize);
out.writeVLong(supersetSize);
significanceHeuristic.writeTo(out);
out.writeVInt(buckets.size());
for (InternalSignificantTerms.Bucket bucket : buckets) {
bucket.writeTo(out);
}
}
@Override
public XContentBuilder doXContentBody(XContentBuilder builder, Params params) throws IOException {
builder.field("doc_count", subsetSize);
builder.startArray(CommonFields.BUCKETS);
for (InternalSignificantTerms.Bucket bucket : buckets) {
bucket.toXContent(builder, params);
}
builder.endArray();
return builder;
}
}