/*
* 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.dfs;
import com.carrotsearch.hppc.ObjectObjectOpenHashMap;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.CollectionStatistics;
import org.apache.lucene.search.TermStatistics;
import org.apache.lucene.util.BytesRef;
import org.elasticsearch.common.collect.HppcMaps;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.search.SearchPhaseResult;
import org.elasticsearch.search.SearchShardTarget;
import org.elasticsearch.transport.TransportResponse;
import java.io.IOException;
/**
*
*/
public class DfsSearchResult extends TransportResponse implements SearchPhaseResult {
private static final Term[] EMPTY_TERMS = new Term[0];
private static final TermStatistics[] EMPTY_TERM_STATS = new TermStatistics[0];
private SearchShardTarget shardTarget;
private long id;
private Term[] terms;
private TermStatistics[] termStatistics;
private ObjectObjectOpenHashMap<String, CollectionStatistics> fieldStatistics = HppcMaps.newNoNullKeysMap();
private int maxDoc;
public DfsSearchResult() {
}
public DfsSearchResult(long id, SearchShardTarget shardTarget) {
this.id = id;
this.shardTarget = shardTarget;
}
public long id() {
return this.id;
}
public SearchShardTarget shardTarget() {
return shardTarget;
}
@Override
public void shardTarget(SearchShardTarget shardTarget) {
this.shardTarget = shardTarget;
}
public DfsSearchResult maxDoc(int maxDoc) {
this.maxDoc = maxDoc;
return this;
}
public int maxDoc() {
return maxDoc;
}
public DfsSearchResult termsStatistics(Term[] terms, TermStatistics[] termStatistics) {
this.terms = terms;
this.termStatistics = termStatistics;
return this;
}
public DfsSearchResult fieldStatistics(ObjectObjectOpenHashMap<String, CollectionStatistics> fieldStatistics) {
this.fieldStatistics = fieldStatistics;
return this;
}
public Term[] terms() {
return terms;
}
public TermStatistics[] termStatistics() {
return termStatistics;
}
public ObjectObjectOpenHashMap<String, CollectionStatistics> fieldStatistics() {
return fieldStatistics;
}
public static DfsSearchResult readDfsSearchResult(StreamInput in) throws IOException, ClassNotFoundException {
DfsSearchResult result = new DfsSearchResult();
result.readFrom(in);
return result;
}
@Override
public void readFrom(StreamInput in) throws IOException {
super.readFrom(in);
id = in.readLong();
int termsSize = in.readVInt();
if (termsSize == 0) {
terms = EMPTY_TERMS;
} else {
terms = new Term[termsSize];
for (int i = 0; i < terms.length; i++) {
terms[i] = new Term(in.readString(), in.readBytesRef());
}
}
this.termStatistics = readTermStats(in, terms);
readFieldStats(in, fieldStatistics);
maxDoc = in.readVInt();
}
@Override
public void writeTo(StreamOutput out) throws IOException {
super.writeTo(out);
out.writeLong(id);
out.writeVInt(terms.length);
for (Term term : terms) {
out.writeString(term.field());
out.writeBytesRef(term.bytes());
}
writeTermStats(out, termStatistics);
writeFieldStats(out, fieldStatistics);
out.writeVInt(maxDoc);
}
public static void writeFieldStats(StreamOutput out, ObjectObjectOpenHashMap<String, CollectionStatistics> fieldStatistics) throws IOException {
out.writeVInt(fieldStatistics.size());
final boolean[] states = fieldStatistics.allocated;
Object[] keys = fieldStatistics.keys;
Object[] values = fieldStatistics.values;
for (int i = 0; i < states.length; i++) {
if (states[i]) {
out.writeString((String) keys[i]);
CollectionStatistics statistics = (CollectionStatistics) values[i];
assert statistics.maxDoc() >= 0;
out.writeVLong(statistics.maxDoc());
out.writeVLong(addOne(statistics.docCount()));
out.writeVLong(addOne(statistics.sumTotalTermFreq()));
out.writeVLong(addOne(statistics.sumDocFreq()));
}
}
}
public static void writeTermStats(StreamOutput out, TermStatistics[] termStatistics) throws IOException {
out.writeVInt(termStatistics.length);
for (TermStatistics termStatistic : termStatistics) {
writeSingleTermStats(out, termStatistic);
}
}
public static void writeSingleTermStats(StreamOutput out, TermStatistics termStatistic) throws IOException {
assert termStatistic.docFreq() >= 0;
out.writeVLong(termStatistic.docFreq());
out.writeVLong(addOne(termStatistic.totalTermFreq()));
}
public static ObjectObjectOpenHashMap<String, CollectionStatistics> readFieldStats(StreamInput in) throws IOException {
return readFieldStats(in, null);
}
public static ObjectObjectOpenHashMap<String, CollectionStatistics> readFieldStats(StreamInput in, ObjectObjectOpenHashMap<String, CollectionStatistics> fieldStatistics) throws IOException {
final int numFieldStatistics = in.readVInt();
if (fieldStatistics == null) {
fieldStatistics = HppcMaps.newNoNullKeysMap(numFieldStatistics);
}
for (int i = 0; i < numFieldStatistics; i++) {
final String field = in.readString();
assert field != null;
final long maxDoc = in.readVLong();
final long docCount = subOne(in.readVLong());
final long sumTotalTermFreq = subOne(in.readVLong());
final long sumDocFreq = subOne(in.readVLong());
CollectionStatistics stats = new CollectionStatistics(field, maxDoc, docCount, sumTotalTermFreq, sumDocFreq);
fieldStatistics.put(field, stats);
}
return fieldStatistics;
}
public static TermStatistics[] readTermStats(StreamInput in, Term[] terms) throws IOException {
int termsStatsSize = in.readVInt();
final TermStatistics[] termStatistics;
if (termsStatsSize == 0) {
termStatistics = EMPTY_TERM_STATS;
} else {
termStatistics = new TermStatistics[termsStatsSize];
assert terms.length == termsStatsSize;
for (int i = 0; i < termStatistics.length; i++) {
BytesRef term = terms[i].bytes();
final long docFreq = in.readVLong();
assert docFreq >= 0;
final long totalTermFreq = subOne(in.readVLong());
termStatistics[i] = new TermStatistics(term, docFreq, totalTermFreq);
}
}
return termStatistics;
}
/*
* optional statistics are set to -1 in lucene by default.
* Since we are using var longs to encode values we add one to each value
* to ensure we don't waste space and don't add negative values.
*/
public static long addOne(long value) {
assert value + 1 >= 0;
return value + 1;
}
/*
* See #addOne this just subtracting one and asserts that the actual value
* is positive.
*/
public static long subOne(long value) {
assert value >= 0;
return value - 1;
}
}