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authorNik Everett <nik9000@gmail.com>2017-02-17 16:16:04 -0500
committerNik Everett <nik9000@gmail.com>2017-02-17 16:16:04 -0500
commitd9c37ce19591abc2e0c0a776f98b13a0c88ff0e9 (patch)
tree1929498667d1c3682f17ac3bd8feae2870c57ede /core/src/test/java/org/elasticsearch/search/aggregations/bucket
parentd1de9574ea8882ea4bdb2fbbec096ecf16765344 (diff)
Adds unit test for sampler aggregation
Relates to #22278
Diffstat (limited to 'core/src/test/java/org/elasticsearch/search/aggregations/bucket')
-rw-r--r--core/src/test/java/org/elasticsearch/search/aggregations/bucket/sampler/SamplerAggregatorTests.java79
1 files changed, 79 insertions, 0 deletions
diff --git a/core/src/test/java/org/elasticsearch/search/aggregations/bucket/sampler/SamplerAggregatorTests.java b/core/src/test/java/org/elasticsearch/search/aggregations/bucket/sampler/SamplerAggregatorTests.java
new file mode 100644
index 0000000000..5db4caaf65
--- /dev/null
+++ b/core/src/test/java/org/elasticsearch/search/aggregations/bucket/sampler/SamplerAggregatorTests.java
@@ -0,0 +1,79 @@
+/*
+ * 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.sampler;
+
+import org.apache.lucene.analysis.standard.StandardAnalyzer;
+import org.apache.lucene.document.Document;
+import org.apache.lucene.document.Field;
+import org.apache.lucene.document.SortedNumericDocValuesField;
+import org.apache.lucene.index.IndexReader;
+import org.apache.lucene.index.RandomIndexWriter;
+import org.apache.lucene.index.Term;
+import org.apache.lucene.search.IndexSearcher;
+import org.apache.lucene.search.TermQuery;
+import org.apache.lucene.store.Directory;
+import org.elasticsearch.index.analysis.AnalyzerScope;
+import org.elasticsearch.index.analysis.NamedAnalyzer;
+import org.elasticsearch.index.mapper.MappedFieldType;
+import org.elasticsearch.index.mapper.NumberFieldMapper;
+import org.elasticsearch.index.mapper.TextFieldMapper.TextFieldType;
+import org.elasticsearch.search.aggregations.AggregatorTestCase;
+import org.elasticsearch.search.aggregations.metrics.min.Min;
+import org.elasticsearch.search.aggregations.metrics.min.MinAggregationBuilder;
+
+import java.io.IOException;
+
+public class SamplerAggregatorTests extends AggregatorTestCase {
+ /**
+ * Uses the sampler aggregation to find the minimum value of a field out of the top 3 scoring documents in a search.
+ */
+ public void testSampler() throws IOException {
+ TextFieldType textFieldType = new TextFieldType();
+ textFieldType.setIndexAnalyzer(new NamedAnalyzer("foo", AnalyzerScope.GLOBAL, new StandardAnalyzer()));
+ MappedFieldType numericFieldType = new NumberFieldMapper.NumberFieldType(NumberFieldMapper.NumberType.LONG);
+ numericFieldType.setName("int");
+
+ try (Directory dir = newDirectory();
+ RandomIndexWriter w = new RandomIndexWriter(random(), dir)) {
+ for (long value : new long[] {7, 3, -10, -6, 5, 50}) {
+ Document doc = new Document();
+ StringBuilder text = new StringBuilder();
+ for (int i = 0; i < value; i++) {
+ text.append("good ");
+ }
+ doc.add(new Field("text", text.toString(), textFieldType));
+ doc.add(new SortedNumericDocValuesField("int", value));
+ w.addDocument(doc);
+ }
+
+ SamplerAggregationBuilder aggBuilder = new SamplerAggregationBuilder("sampler")
+ .shardSize(3)
+ .subAggregation(new MinAggregationBuilder("min")
+ .field("int"));
+ try (IndexReader reader = w.getReader()) {
+ IndexSearcher searcher = new IndexSearcher(reader);
+ Sampler sampler = searchAndReduce(searcher, new TermQuery(new Term("text", "good")), aggBuilder, textFieldType,
+ numericFieldType);
+ Min min = sampler.getAggregations().get("min");
+ assertEquals(5.0, min.getValue(), Double.MIN_NORMAL);
+ }
+ }
+ }
+}