Add unit tests for terms aggregation objects. (#23149)

Relates #22278
This commit is contained in:
Adrien Grand 2017-02-17 18:01:40 +01:00 committed by GitHub
parent 578853f264
commit 3bd1d46fc7
10 changed files with 389 additions and 2 deletions

View File

@ -30,6 +30,7 @@ import java.io.IOException;
import java.util.ArrayList; import java.util.ArrayList;
import java.util.List; import java.util.List;
import java.util.Map; import java.util.Map;
import java.util.Objects;
/** /**
* Result of the {@link TermsAggregator} when the field is some kind of decimal number like a float, double, or distance. * Result of the {@link TermsAggregator} when the field is some kind of decimal number like a float, double, or distance.
@ -99,6 +100,16 @@ public class DoubleTerms extends InternalMappedTerms<DoubleTerms, DoubleTerms.Bu
builder.endObject(); builder.endObject();
return builder; return builder;
} }
@Override
public boolean equals(Object obj) {
return super.equals(obj) && Objects.equals(term, ((Bucket) obj).term);
}
@Override
public int hashCode() {
return Objects.hash(super.hashCode(), term);
}
} }
public DoubleTerms(String name, Terms.Order order, int requiredSize, long minDocCount, List<PipelineAggregator> pipelineAggregators, public DoubleTerms(String name, Terms.Order order, int requiredSize, long minDocCount, List<PipelineAggregator> pipelineAggregators,

View File

@ -27,6 +27,7 @@ import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import java.io.IOException; import java.io.IOException;
import java.util.List; import java.util.List;
import java.util.Map; import java.util.Map;
import java.util.Objects;
import java.util.function.Function; import java.util.function.Function;
import java.util.stream.Collectors; import java.util.stream.Collectors;
@ -110,4 +111,20 @@ public abstract class InternalMappedTerms<A extends InternalTerms<A, B>, B exten
} }
return bucketMap.get(term); return bucketMap.get(term);
} }
@Override
protected boolean doEquals(Object obj) {
InternalMappedTerms<?,?> that = (InternalMappedTerms<?,?>) obj;
return super.doEquals(obj)
&& Objects.equals(buckets, that.buckets)
&& Objects.equals(format, that.format)
&& Objects.equals(otherDocCount, that.otherDocCount)
&& Objects.equals(showTermDocCountError, that.showTermDocCountError)
&& Objects.equals(shardSize, that.shardSize);
}
@Override
protected int doHashCode() {
return Objects.hash(super.doHashCode(), buckets, format, otherDocCount, showTermDocCountError, shardSize);
}
} }

View File

@ -36,6 +36,7 @@ import java.util.Arrays;
import java.util.HashMap; import java.util.HashMap;
import java.util.List; import java.util.List;
import java.util.Map; import java.util.Map;
import java.util.Objects;
import static java.util.Collections.unmodifiableList; import static java.util.Collections.unmodifiableList;
@ -135,6 +136,25 @@ public abstract class InternalTerms<A extends InternalTerms<A, B>, B extends Int
InternalAggregations aggs = InternalAggregations.reduce(aggregationsList, context); InternalAggregations aggs = InternalAggregations.reduce(aggregationsList, context);
return newBucket(docCount, aggs, docCountError); return newBucket(docCount, aggs, docCountError);
} }
@Override
public boolean equals(Object obj) {
if (obj == null || getClass() != obj.getClass()) {
return false;
}
Bucket<?> that = (Bucket<?>) obj;
// No need to take format and showDocCountError, they are attributes
// of the parent terms aggregation object that are only copied here
// for serialization purposes
return Objects.equals(docCount, that.docCount)
&& Objects.equals(docCountError, that.docCountError)
&& Objects.equals(aggregations, that.aggregations);
}
@Override
public int hashCode() {
return Objects.hash(getClass(), docCount, docCountError, aggregations);
}
} }
protected final Terms.Order order; protected final Terms.Order order;
@ -269,4 +289,17 @@ public abstract class InternalTerms<A extends InternalTerms<A, B>, B extends Int
* Create an array to hold some buckets. Used in collecting the results. * Create an array to hold some buckets. Used in collecting the results.
*/ */
protected abstract B[] createBucketsArray(int size); protected abstract B[] createBucketsArray(int size);
@Override
protected boolean doEquals(Object obj) {
InternalTerms<?,?> that = (InternalTerms<?,?>) obj;
return Objects.equals(minDocCount, that.minDocCount)
&& Objects.equals(order, that.order)
&& Objects.equals(requiredSize, that.requiredSize);
}
@Override
protected int doHashCode() {
return Objects.hash(minDocCount, order, requiredSize);
}
} }

View File

@ -30,6 +30,7 @@ import java.io.IOException;
import java.util.ArrayList; import java.util.ArrayList;
import java.util.List; import java.util.List;
import java.util.Map; import java.util.Map;
import java.util.Objects;
/** /**
* Result of the {@link TermsAggregator} when the field is some kind of whole number like a integer, long, or a date. * Result of the {@link TermsAggregator} when the field is some kind of whole number like a integer, long, or a date.
@ -99,6 +100,16 @@ public class LongTerms extends InternalMappedTerms<LongTerms, LongTerms.Bucket>
builder.endObject(); builder.endObject();
return builder; return builder;
} }
@Override
public boolean equals(Object obj) {
return super.equals(obj) && Objects.equals(term, ((Bucket) obj).term);
}
@Override
public int hashCode() {
return Objects.hash(super.hashCode(), term);
}
} }
public LongTerms(String name, Terms.Order order, int requiredSize, long minDocCount, List<PipelineAggregator> pipelineAggregators, public LongTerms(String name, Terms.Order order, int requiredSize, long minDocCount, List<PipelineAggregator> pipelineAggregators,

View File

@ -29,6 +29,7 @@ import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import java.io.IOException; import java.io.IOException;
import java.util.List; import java.util.List;
import java.util.Map; import java.util.Map;
import java.util.Objects;
/** /**
* Result of the {@link TermsAggregator} when the field is a String. * Result of the {@link TermsAggregator} when the field is a String.
@ -95,6 +96,16 @@ public class StringTerms extends InternalMappedTerms<StringTerms, StringTerms.Bu
builder.endObject(); builder.endObject();
return builder; return builder;
} }
@Override
public boolean equals(Object obj) {
return super.equals(obj) && Objects.equals(termBytes, ((Bucket) obj).termBytes);
}
@Override
public int hashCode() {
return Objects.hash(super.hashCode(), termBytes);
}
} }
public StringTerms(String name, Terms.Order order, int requiredSize, long minDocCount, List<PipelineAggregator> pipelineAggregators, public StringTerms(String name, Terms.Order order, int requiredSize, long minDocCount, List<PipelineAggregator> pipelineAggregators,

View File

@ -36,14 +36,24 @@ public abstract class InternalAggregationTestCase<T extends InternalAggregation>
private final NamedWriteableRegistry namedWriteableRegistry = new NamedWriteableRegistry( private final NamedWriteableRegistry namedWriteableRegistry = new NamedWriteableRegistry(
new SearchModule(Settings.EMPTY, false, emptyList()).getNamedWriteables()); new SearchModule(Settings.EMPTY, false, emptyList()).getNamedWriteables());
protected abstract T createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData); protected abstract T createTestInstance(String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData);
/** Return an instance on an unmapped field. */
protected T createUnmappedInstance(String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData) {
// For most impls, we use the same instance in the unmapped case and in the mapped case
return createTestInstance(name, pipelineAggregators, metaData);
}
public final void testReduceRandom() { public final void testReduceRandom() {
List<T> inputs = new ArrayList<>(); List<T> inputs = new ArrayList<>();
List<InternalAggregation> toReduce = new ArrayList<>(); List<InternalAggregation> toReduce = new ArrayList<>();
int toReduceSize = between(1, 200); int toReduceSize = between(1, 200);
for (int i = 0; i < toReduceSize; i++) { for (int i = 0; i < toReduceSize; i++) {
T t = createTestInstance(); T t = randomBoolean() ? createUnmappedInstance() : createTestInstance();
inputs.add(t); inputs.add(t);
toReduce.add(t); toReduce.add(t);
} }
@ -67,6 +77,19 @@ public abstract class InternalAggregationTestCase<T extends InternalAggregation>
return createTestInstance(name, pipelineAggregators, metaData); return createTestInstance(name, pipelineAggregators, metaData);
} }
/** Return an instance on an unmapped field. */
protected final T createUnmappedInstance() {
String name = randomAsciiOfLength(5);
List<PipelineAggregator> pipelineAggregators = new ArrayList<>();
// TODO populate pipelineAggregators
Map<String, Object> metaData = new HashMap<>();
int metaDataCount = randomBoolean() ? 0 : between(1, 10);
while (metaData.size() < metaDataCount) {
metaData.put(randomAsciiOfLength(5), randomAsciiOfLength(5));
}
return createUnmappedInstance(name, pipelineAggregators, metaData);
}
@Override @Override
protected NamedWriteableRegistry getNamedWriteableRegistry() { protected NamedWriteableRegistry getNamedWriteableRegistry() {
return namedWriteableRegistry; return namedWriteableRegistry;

View File

@ -0,0 +1,66 @@
/*
* 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.terms;
import org.elasticsearch.common.io.stream.Writeable.Reader;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregations;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
public class DoubleTermsTests extends InternalTermsTestCase {
@Override
protected InternalTerms<?, ?> createTestInstance(
String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData) {
Terms.Order order = Terms.Order.count(false);
long minDocCount = 1;
int requiredSize = 3;
int shardSize = requiredSize + 2;
DocValueFormat format = DocValueFormat.RAW;
boolean showTermDocCountError = false;
long docCountError = -1;
long otherDocCount = 0;
List<DoubleTerms.Bucket> buckets = new ArrayList<>();
final int numBuckets = randomInt(shardSize);
Set<Double> terms = new HashSet<>();
for (int i = 0; i < numBuckets; ++i) {
double term = randomValueOtherThanMany(d -> terms.add(d) == false, random()::nextDouble);
int docCount = randomIntBetween(1, 100);
buckets.add(new DoubleTerms.Bucket(term, docCount, InternalAggregations.EMPTY,
showTermDocCountError, docCountError, format));
}
return new DoubleTerms(name, order, requiredSize, minDocCount, pipelineAggregators,
metaData, format, shardSize, showTermDocCountError, otherDocCount, buckets, docCountError);
}
@Override
protected Reader<InternalTerms<?, ?>> instanceReader() {
return DoubleTerms::new;
}
}

View File

@ -0,0 +1,82 @@
/*
* 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.terms;
import org.elasticsearch.search.aggregations.InternalAggregationTestCase;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.Map.Entry;
import java.util.stream.Collectors;
import java.util.stream.Stream;
public abstract class InternalTermsTestCase extends InternalAggregationTestCase<InternalTerms<?,?>> {
@Override
protected InternalTerms<?, ?> createUnmappedInstance(
String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData) {
InternalTerms<?, ?> testInstance = createTestInstance(name, pipelineAggregators, metaData);
return new UnmappedTerms(name, testInstance.order, testInstance.requiredSize, testInstance.minDocCount,
pipelineAggregators, metaData);
}
@Override
protected void assertReduced(InternalTerms<?, ?> reduced, List<InternalTerms<?, ?>> inputs) {
final int requiredSize = inputs.get(0).requiredSize;
Map<Object, Long> reducedCounts = toCounts(reduced.getBuckets().stream());
Map<Object, Long> totalCounts = toCounts(inputs.stream().map(Terms::getBuckets).flatMap(List::stream));
assertEquals(reducedCounts.size() == requiredSize,
totalCounts.size() >= requiredSize);
Map<Object, Long> expectedReducedCounts = new HashMap<>(totalCounts);
expectedReducedCounts.keySet().retainAll(reducedCounts.keySet());
assertEquals(expectedReducedCounts, reducedCounts);
final long minFinalcount = reduced.getBuckets().isEmpty()
? -1
: reduced.getBuckets().get(reduced.getBuckets().size() - 1).getDocCount();
Map<Object, Long> evictedTerms = new HashMap<>(totalCounts);
evictedTerms.keySet().removeAll(reducedCounts.keySet());
Optional<Entry<Object, Long>> missingTerm = evictedTerms.entrySet().stream()
.filter(e -> e.getValue() > minFinalcount).findAny();
if (missingTerm.isPresent()) {
fail("Missed term: " + missingTerm + " from " + reducedCounts);
}
final long reducedTotalDocCount = reduced.getSumOfOtherDocCounts()
+ reduced.getBuckets().stream().mapToLong(Terms.Bucket::getDocCount).sum();
final long expectedTotalDocCount = inputs.stream().map(Terms::getBuckets)
.flatMap(List::stream).mapToLong(Terms.Bucket::getDocCount).sum();
assertEquals(expectedTotalDocCount, reducedTotalDocCount);
}
private static Map<Object, Long> toCounts(Stream<? extends Terms.Bucket> buckets) {
return buckets.collect(Collectors.toMap(
Terms.Bucket::getKey,
Terms.Bucket::getDocCount,
Long::sum));
}
}

View File

@ -0,0 +1,66 @@
/*
* 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.terms;
import org.elasticsearch.common.io.stream.Writeable.Reader;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregations;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
public class LongTermsTests extends InternalTermsTestCase {
@Override
protected InternalTerms<?, ?> createTestInstance(
String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData) {
Terms.Order order = Terms.Order.count(false);
long minDocCount = 1;
int requiredSize = 3;
int shardSize = requiredSize + 2;
DocValueFormat format = DocValueFormat.RAW;
boolean showTermDocCountError = false;
long docCountError = -1;
long otherDocCount = 0;
List<LongTerms.Bucket> buckets = new ArrayList<>();
final int numBuckets = randomInt(shardSize);
Set<Long> terms = new HashSet<>();
for (int i = 0; i < numBuckets; ++i) {
long term = randomValueOtherThanMany(l -> terms.add(l) == false, random()::nextLong);
int docCount = randomIntBetween(1, 100);
buckets.add(new LongTerms.Bucket(term, docCount, InternalAggregations.EMPTY,
showTermDocCountError, docCountError, format));
}
return new LongTerms(name, order, requiredSize, minDocCount, pipelineAggregators,
metaData, format, shardSize, showTermDocCountError, otherDocCount, buckets, docCountError);
}
@Override
protected Reader<InternalTerms<?, ?>> instanceReader() {
return LongTerms::new;
}
}

View File

@ -0,0 +1,67 @@
/*
* 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.terms;
import org.apache.lucene.util.BytesRef;
import org.elasticsearch.common.io.stream.Writeable.Reader;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregations;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
public class StringTermsTests extends InternalTermsTestCase {
@Override
protected InternalTerms<?, ?> createTestInstance(
String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData) {
Terms.Order order = Terms.Order.count(false);
long minDocCount = 1;
int requiredSize = 3;
int shardSize = requiredSize + 2;
DocValueFormat format = DocValueFormat.RAW;
boolean showTermDocCountError = false;
long docCountError = -1;
long otherDocCount = 0;
List<StringTerms.Bucket> buckets = new ArrayList<>();
final int numBuckets = randomInt(shardSize);
Set<BytesRef> terms = new HashSet<>();
for (int i = 0; i < numBuckets; ++i) {
BytesRef term = randomValueOtherThanMany(b -> terms.add(b) == false, () -> new BytesRef(randomAsciiOfLength(10)));
int docCount = randomIntBetween(1, 100);
buckets.add(new StringTerms.Bucket(term, docCount, InternalAggregations.EMPTY,
showTermDocCountError, docCountError, format));
}
return new StringTerms(name, order, requiredSize, minDocCount, pipelineAggregators,
metaData, format, shardSize, showTermDocCountError, otherDocCount, buckets, docCountError);
}
@Override
protected Reader<InternalTerms<?, ?>> instanceReader() {
return StringTerms::new;
}
}