mirror of https://github.com/apache/lucene.git
SOLR-10666: Add rank transformation Stream Evaluator
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@ -175,6 +175,7 @@ public class StreamHandler extends RequestHandlerBase implements SolrCoreAware,
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.withFunctionName("normalize", NormalizeEvaluator.class)
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.withFunctionName("rev", ReverseEvaluator.class)
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.withFunctionName("length", LengthEvaluator.class)
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.withFunctionName("rank", RankEvaluator.class)
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// metrics
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.withFunctionName("min", MinMetric.class)
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@ -0,0 +1,75 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.solr.client.solrj.io.stream;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.List;
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import org.apache.commons.math3.stat.ranking.NaturalRanking;
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import org.apache.solr.client.solrj.io.Tuple;
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import org.apache.solr.client.solrj.io.eval.ComplexEvaluator;
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import org.apache.solr.client.solrj.io.eval.StreamEvaluator;
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import org.apache.solr.client.solrj.io.stream.expr.Explanation;
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import org.apache.solr.client.solrj.io.stream.expr.Explanation.ExpressionType;
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import org.apache.solr.client.solrj.io.stream.expr.Expressible;
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import org.apache.solr.client.solrj.io.stream.expr.StreamExpression;
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import org.apache.solr.client.solrj.io.stream.expr.StreamExpressionParameter;
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import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
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public class RankEvaluator extends ComplexEvaluator implements Expressible {
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private static final long serialVersionUID = 1;
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public RankEvaluator(StreamExpression expression, StreamFactory factory) throws IOException {
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super(expression, factory);
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}
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public List<Number> evaluate(Tuple tuple) throws IOException {
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StreamEvaluator colEval = subEvaluators.get(0);
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List<Number> numbers = (List<Number>)colEval.evaluate(tuple);
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double[] values = new double[numbers.size()];
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for(int i=0; i<numbers.size(); i++) {
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values[i] = numbers.get(i).doubleValue();
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}
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NaturalRanking rank = new NaturalRanking();
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double[] ranked = rank.rank(values);
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List<Number> rankedList = new ArrayList();
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for(int i=0; i<numbers.size(); i++) {
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rankedList.add(ranked[i]);
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}
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return rankedList;
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}
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@Override
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public StreamExpressionParameter toExpression(StreamFactory factory) throws IOException {
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StreamExpression expression = new StreamExpression(factory.getFunctionName(getClass()));
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return expression;
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}
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@Override
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public Explanation toExplanation(StreamFactory factory) throws IOException {
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return new Explanation(nodeId.toString())
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.withExpressionType(ExpressionType.EVALUATOR)
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.withFunctionName(factory.getFunctionName(getClass()))
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.withImplementingClass(getClass().getName())
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.withExpression(toExpression(factory).toString());
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}
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}
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@ -5349,6 +5349,64 @@ public class StreamExpressionTest extends SolrCloudTestCase {
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assertTrue(reverse.get(3).doubleValue() == 100D);
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}
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@Test
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public void testRankTransform() throws Exception {
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UpdateRequest updateRequest = new UpdateRequest();
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int i=0;
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while(i<50) {
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updateRequest.add(id, "id_"+(++i),"test_dt", getDateString("2016", "5", "1"), "price_f", "400.00");
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}
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while(i<100) {
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updateRequest.add(id, "id_"+(++i),"test_dt", getDateString("2015", "5", "1"), "price_f", "300.0");
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}
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while(i<150) {
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updateRequest.add(id, "id_"+(++i),"test_dt", getDateString("2014", "5", "1"), "price_f", "500.0");
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}
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while(i<250) {
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updateRequest.add(id, "id_"+(++i),"test_dt", getDateString("2013", "5", "1"), "price_f", "100.00");
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}
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updateRequest.commit(cluster.getSolrClient(), COLLECTIONORALIAS);
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String expr = "timeseries("+COLLECTIONORALIAS+", q=\"*:*\", start=\"2013-01-01T01:00:00.000Z\", " +
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"end=\"2016-12-01T01:00:00.000Z\", " +
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"gap=\"+1YEAR\", " +
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"field=\"test_dt\", " +
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"count(*), sum(price_f), max(price_f), min(price_f))";
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String cexpr = "let(a="+expr+", c=col(a, max(price_f)), tuple(reverse=rev(c), ranked=rank(c)))";
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ModifiableSolrParams paramsLoc = new ModifiableSolrParams();
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paramsLoc.set("expr", cexpr);
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paramsLoc.set("qt", "/stream");
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String url = cluster.getJettySolrRunners().get(0).getBaseUrl().toString()+"/"+COLLECTIONORALIAS;
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TupleStream solrStream = new SolrStream(url, paramsLoc);
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StreamContext context = new StreamContext();
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solrStream.setStreamContext(context);
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List<Tuple> tuples = getTuples(solrStream);
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assertTrue(tuples.size() == 1);
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List<Number> reverse = (List<Number>)tuples.get(0).get("reverse");
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assertTrue(reverse.size() == 4);
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assertTrue(reverse.get(0).doubleValue() == 400D);
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assertTrue(reverse.get(1).doubleValue() == 300D);
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assertTrue(reverse.get(2).doubleValue() == 500D);
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assertTrue(reverse.get(3).doubleValue() == 100D);
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List<Number> ranked = (List<Number>)tuples.get(0).get("ranked");
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assertTrue(ranked.size() == 4);
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assertTrue(ranked.get(0).doubleValue() == 1D);
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assertTrue(ranked.get(1).doubleValue() == 4D);
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assertTrue(ranked.get(2).doubleValue() == 2D);
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assertTrue(ranked.get(3).doubleValue() == 3D);
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}
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@Test
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