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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.metrics.percentiles;
import com.carrotsearch.hppc.DoubleArrayList;
import org.elasticsearch.common.xcontent.XContentParser;
import org.elasticsearch.search.SearchParseException;
import org.elasticsearch.search.aggregations.Aggregator;
import org.elasticsearch.search.aggregations.AggregatorFactory;
import org.elasticsearch.search.aggregations.support.ValuesSource;
import org.elasticsearch.search.aggregations.support.ValuesSource.Numeric;
import org.elasticsearch.search.aggregations.support.ValuesSourceConfig;
import org.elasticsearch.search.aggregations.support.ValuesSourceParser;
import org.elasticsearch.search.internal.SearchContext;
import java.io.IOException;
import java.util.Arrays;
public abstract class AbstractPercentilesParser implements Aggregator.Parser {
public AbstractPercentilesParser() {
super();
}
@Override
public AggregatorFactory parse(String aggregationName, XContentParser parser, SearchContext context) throws IOException {
ValuesSourceParser<ValuesSource.Numeric> vsParser = ValuesSourceParser.numeric(aggregationName, InternalPercentiles.TYPE, context).build();
double[] keys = null;
boolean keyed = true;
double compression = 100;
XContentParser.Token token;
String currentFieldName = null;
while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
if (token == XContentParser.Token.FIELD_NAME) {
currentFieldName = parser.currentName();
} else if (vsParser.token(currentFieldName, token, parser)) {
continue;
} else if (token == XContentParser.Token.START_ARRAY) {
if (keysFieldName().equals(currentFieldName)) {
DoubleArrayList values = new DoubleArrayList(10);
while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
double value = parser.doubleValue();
values.add(value);
}
keys = values.toArray();
Arrays.sort(keys);
} else {
throw new SearchParseException(context, "Unknown key for a " + token + " in [" + aggregationName + "]: [" + currentFieldName + "].");
}
} else if (token == XContentParser.Token.VALUE_BOOLEAN) {
if ("keyed".equals(currentFieldName)) {
keyed = parser.booleanValue();
} else {
throw new SearchParseException(context, "Unknown key for a " + token + " in [" + aggregationName + "]: [" + currentFieldName + "].");
}
} else if (token == XContentParser.Token.VALUE_NUMBER) {
if ("compression".equals(currentFieldName)) {
compression = parser.doubleValue();
} else {
throw new SearchParseException(context, "Unknown key for a " + token + " in [" + aggregationName + "]: [" + currentFieldName + "].");
}
} else {
throw new SearchParseException(context, "Unexpected token " + token + " in [" + aggregationName + "].");
}
}
return buildFactory(context, aggregationName, vsParser.config(), keys, compression, keyed);
}
protected abstract AggregatorFactory buildFactory(SearchContext context, String aggregationName, ValuesSourceConfig<Numeric> config, double[] cdfValues,
double compression, boolean keyed);
protected abstract String keysFieldName();
}