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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.terms;
import com.google.common.collect.ArrayListMultimap;
import com.google.common.collect.Maps;
import com.google.common.collect.Multimap;
import org.elasticsearch.common.io.stream.Streamable;
import org.elasticsearch.common.xcontent.ToXContent;
import org.elasticsearch.search.aggregations.AggregationExecutionException;
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.terms.support.BucketPriorityQueue;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.Map;
/**
*
*/
public abstract class InternalTerms extends InternalMultiBucketAggregation
implements Terms, ToXContent, Streamable {
protected static final String DOC_COUNT_ERROR_UPPER_BOUND_FIELD_NAME = "doc_count_error_upper_bound";
protected static final String SUM_OF_OTHER_DOC_COUNTS = "sum_other_doc_count";
public static abstract class Bucket extends Terms.Bucket {
long bucketOrd;
protected long docCount;
protected long docCountError;
protected InternalAggregations aggregations;
protected boolean showDocCountError;
transient final ValueFormatter formatter;
protected Bucket(ValueFormatter formatter, boolean showDocCountError) {
// for serialization
this.showDocCountError = showDocCountError;
this.formatter = formatter;
}
protected Bucket(long docCount, InternalAggregations aggregations, boolean showDocCountError, long docCountError,
ValueFormatter formatter) {
this(formatter, showDocCountError);
this.docCount = docCount;
this.aggregations = aggregations;
this.docCountError = docCountError;
}
@Override
public long getDocCount() {
return docCount;
}
@Override
public long getDocCountError() {
if (!showDocCountError) {
throw new IllegalStateException("show_terms_doc_count_error is false");
}
return docCountError;
}
@Override
public Aggregations getAggregations() {
return aggregations;
}
abstract Bucket newBucket(long docCount, InternalAggregations aggs, long docCountError);
public Bucket reduce(List buckets, ReduceContext context) {
long docCount = 0;
long docCountError = 0;
List aggregationsList = new ArrayList<>(buckets.size());
for (Bucket bucket : buckets) {
docCount += bucket.docCount;
if (docCountError != -1) {
if (bucket.docCountError == -1) {
docCountError = -1;
} else {
docCountError += bucket.docCountError;
}
}
aggregationsList.add(bucket.aggregations);
}
InternalAggregations aggs = InternalAggregations.reduce(aggregationsList, context);
return newBucket(docCount, aggs, docCountError);
}
}
protected Terms.Order order;
protected int requiredSize;
protected int shardSize;
protected long minDocCount;
protected List buckets;
protected Map bucketMap;
protected long docCountError;
protected boolean showTermDocCountError;
protected long otherDocCount;
protected InternalTerms() {} // for serialization
protected InternalTerms(String name, Terms.Order order, int requiredSize, int shardSize, long minDocCount,
List buckets, boolean showTermDocCountError, long docCountError, long otherDocCount, List pipelineAggregators,
Map metaData) {
super(name, pipelineAggregators, metaData);
this.order = order;
this.requiredSize = requiredSize;
this.shardSize = shardSize;
this.minDocCount = minDocCount;
this.buckets = buckets;
this.showTermDocCountError = showTermDocCountError;
this.docCountError = docCountError;
this.otherDocCount = otherDocCount;
}
@Override
public List getBuckets() {
Object o = buckets;
return (List) o;
}
@Override
public Terms.Bucket getBucketByKey(String term) {
if (bucketMap == null) {
bucketMap = Maps.newHashMapWithExpectedSize(buckets.size());
for (Bucket bucket : buckets) {
bucketMap.put(bucket.getKeyAsString(), bucket);
}
}
return bucketMap.get(term);
}
@Override
public long getDocCountError() {
return docCountError;
}
@Override
public long getSumOfOtherDocCounts() {
return otherDocCount;
}
@Override
public InternalAggregation doReduce(List aggregations, ReduceContext reduceContext) {
Multimap buckets = ArrayListMultimap.create();
long sumDocCountError = 0;
long otherDocCount = 0;
InternalTerms referenceTerms = null;
for (InternalAggregation aggregation : aggregations) {
InternalTerms terms = (InternalTerms) aggregation;
if (referenceTerms == null && !terms.getClass().equals(UnmappedTerms.class)) {
referenceTerms = (InternalTerms) aggregation;
}
if (referenceTerms != null &&
!referenceTerms.getClass().equals(terms.getClass()) &&
!terms.getClass().equals(UnmappedTerms.class)) {
// control gets into this loop when the same field name against which the query is executed
// is of different types in different indices.
throw new AggregationExecutionException("Merging/Reducing the aggregations failed " +
"when computing the aggregation [ Name: " +
referenceTerms.getName() + ", Type: " +
referenceTerms.type() + " ]" + " because: " +
"the field you gave in the aggregation query " +
"existed as two different types " +
"in two different indices");
}
otherDocCount += terms.getSumOfOtherDocCounts();
final long thisAggDocCountError;
if (terms.buckets.size() < this.shardSize || this.order == InternalOrder.TERM_ASC || this.order == InternalOrder.TERM_DESC) {
thisAggDocCountError = 0;
} else if (InternalOrder.isCountDesc(this.order)) {
thisAggDocCountError = terms.buckets.get(terms.buckets.size() - 1).docCount;
} else {
thisAggDocCountError = -1;
}
if (sumDocCountError != -1) {
if (thisAggDocCountError == -1) {
sumDocCountError = -1;
} else {
sumDocCountError += thisAggDocCountError;
}
}
terms.docCountError = thisAggDocCountError;
for (Bucket bucket : terms.buckets) {
bucket.docCountError = thisAggDocCountError;
buckets.put(bucket.getKey(), bucket);
}
}
final int size = Math.min(requiredSize, buckets.size());
BucketPriorityQueue ordered = new BucketPriorityQueue(size, order.comparator(null));
for (Collection l : buckets.asMap().values()) {
List sameTermBuckets = (List) l; // cast is ok according to javadocs
final Bucket b = sameTermBuckets.get(0).reduce(sameTermBuckets, reduceContext);
if (b.docCountError != -1) {
if (sumDocCountError == -1) {
b.docCountError = -1;
} else {
b.docCountError = sumDocCountError - b.docCountError;
}
}
if (b.docCount >= minDocCount) {
Terms.Bucket removed = ordered.insertWithOverflow(b);
if (removed != null) {
otherDocCount += removed.getDocCount();
}
}
}
Bucket[] list = new Bucket[ordered.size()];
for (int i = ordered.size() - 1; i >= 0; i--) {
list[i] = (Bucket) ordered.pop();
}
long docCountError;
if (sumDocCountError == -1) {
docCountError = -1;
} else {
docCountError = aggregations.size() == 1 ? 0 : sumDocCountError;
}
return create(name, Arrays.asList(list), docCountError, otherDocCount, this);
}
protected abstract A create(String name, List buckets, long docCountError, long otherDocCount,
InternalTerms prototype);
}