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/*
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
* or more contributor license agreements. Licensed under the Elastic License
* 2.0 and the Server Side Public License, v 1; you may not use this file except
* in compliance with, at your election, the Elastic License 2.0 or the Server
* Side Public License, v 1.
*/
package org.elasticsearch.search.aggregations.bucket.terms;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.Aggregator;
import org.elasticsearch.search.aggregations.AggregatorFactories;
import org.elasticsearch.search.aggregations.BucketOrder;
import org.elasticsearch.search.aggregations.bucket.terms.heuristic.SignificanceHeuristic;
import org.elasticsearch.search.aggregations.support.AggregationContext;
import java.io.IOException;
import java.util.Map;
import static java.util.Collections.emptyList;
abstract class AbstractStringTermsAggregator extends TermsAggregator {
protected final boolean showTermDocCountError;
AbstractStringTermsAggregator(String name, AggregatorFactories factories, AggregationContext context, Aggregator parent,
BucketOrder order, DocValueFormat format, BucketCountThresholds bucketCountThresholds, SubAggCollectionMode subAggCollectMode,
boolean showTermDocCountError, Map metadata) throws IOException {
super(name, factories, context, parent, bucketCountThresholds, order, format, subAggCollectMode, metadata);
this.showTermDocCountError = showTermDocCountError;
}
protected StringTerms buildEmptyTermsAggregation() {
return new StringTerms(name, order, order, bucketCountThresholds.getRequiredSize(), bucketCountThresholds.getMinDocCount(),
metadata(), format, bucketCountThresholds.getShardSize(), showTermDocCountError, 0, emptyList(), 0);
}
protected SignificantStringTerms buildEmptySignificantTermsAggregation(long subsetSize, SignificanceHeuristic significanceHeuristic) {
// We need to account for the significance of a miss in our global stats - provide corpus size as context
int supersetSize = searcher().getIndexReader().numDocs();
return new SignificantStringTerms(name, bucketCountThresholds.getRequiredSize(), bucketCountThresholds.getMinDocCount(),
metadata(), format, subsetSize, supersetSize, significanceHeuristic, emptyList());
}
}