blob: 27ef0de392c9e74c1fd9eac07fea41fd6fbee9d5 [file] [log] [blame]
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF 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.apache.solr.client.solrj.io.eval;
import java.io.IOException;
import java.util.List;
import java.util.Locale;
import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;
import org.apache.solr.client.solrj.io.Tuple;
import org.apache.solr.client.solrj.io.stream.expr.StreamExpression;
import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
public class DescribeEvaluator extends RecursiveNumericEvaluator implements OneValueWorker {
protected static final long serialVersionUID = 1L;
public DescribeEvaluator(StreamExpression expression, StreamFactory factory) throws IOException{
super(expression, factory);
if(1 != containedEvaluators.size()){
throw new IOException(String.format(Locale.ROOT,"Invalid expression %s - expecting exactly one value but found %d",expression,containedEvaluators.size()));
}
}
@Override
public Object doWork(Object value) throws IOException {
if(!(value instanceof List<?>)){
throw new IOException(String.format(Locale.ROOT,"Invalid expression %s - expecting a numeric list but found %s", toExpression(constructingFactory), value.getClass().getSimpleName()));
}
// we know each value is a BigDecimal or a list of BigDecimals
DescriptiveStatistics descriptiveStatistics = new DescriptiveStatistics();
((List<?>)value).stream().mapToDouble(innerValue -> ((Number)innerValue).doubleValue()).forEach(innerValue -> descriptiveStatistics.addValue(innerValue));
Tuple tuple = new Tuple();
tuple.put("max", descriptiveStatistics.getMax());
tuple.put("mean", descriptiveStatistics.getMean());
tuple.put("min", descriptiveStatistics.getMin());
tuple.put("stdev", descriptiveStatistics.getStandardDeviation());
tuple.put("sum", descriptiveStatistics.getSum());
tuple.put("N", descriptiveStatistics.getN());
tuple.put("var", descriptiveStatistics.getVariance());
tuple.put("kurtosis", descriptiveStatistics.getKurtosis());
tuple.put("skewness", descriptiveStatistics.getSkewness());
tuple.put("popVar", descriptiveStatistics.getPopulationVariance());
tuple.put("geometricMean", descriptiveStatistics.getGeometricMean());
tuple.put("sumsq", descriptiveStatistics.getSumsq());
return tuple;
}
}