DATAREDIS-746 - Add Zset union operation aggregation support.
Original pull request: #300 superseded by #314
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@@ -23,10 +23,12 @@ import static org.junit.Assume.*;
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import static org.springframework.data.redis.matcher.RedisTestMatchers.*;
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import java.io.IOException;
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import java.util.Arrays;
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import java.util.Collection;
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import java.util.Collections;
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import java.util.HashSet;
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import java.util.LinkedHashSet;
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import java.util.List;
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import java.util.Set;
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import org.junit.After;
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@@ -37,6 +39,7 @@ import org.junit.Test;
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import org.junit.runner.RunWith;
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import org.junit.runners.Parameterized;
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import org.junit.runners.Parameterized.Parameters;
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import org.springframework.data.redis.ConnectionFactoryTracker;
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import org.springframework.data.redis.DoubleAsStringObjectFactory;
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import org.springframework.data.redis.DoubleObjectFactory;
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@@ -54,6 +57,7 @@ import org.springframework.test.annotation.IfProfileValue;
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* @author Jennifer Hickey
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* @author Christoph Strobl
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* @author Mark Paluch
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* @author wongoo
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* @param <K> Key type
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* @param <V> Value type
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*/
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@@ -365,4 +369,59 @@ public class DefaultZSetOperationsTests<K, V> {
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it.close();
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assertThat(count, equalTo(3));
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}
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@Test //DATAREDIS-746
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public void testZsetUnionWithAggregate() {
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K key1 = keyFactory.instance();
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K key2 = keyFactory.instance();
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V value1 = valueFactory.instance();
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V value2 = valueFactory.instance();
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V value3 = valueFactory.instance();
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V value4 = valueFactory.instance();
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Set<TypedTuple<V>> values1 = new HashSet<>();
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values1.add(new DefaultTypedTuple<>(value1, 1.0));
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values1.add(new DefaultTypedTuple<>(value2, 2.0));
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zSetOps.add(key1, values1);
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Set<TypedTuple<V>> values2 = new HashSet<>();
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values2.add(new DefaultTypedTuple<>(value3, 3.0));
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zSetOps.add(key2, values2);
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// union values
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assertThat(zSetOps.count(key1, 0, 99), equalTo(2L));
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List<K> otherKeys = Arrays.asList(key2);
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zSetOps.unionAndStore(key1, otherKeys, key1, RedisZSetCommands.Aggregate.MIN);
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assertThat(zSetOps.count(key1, 0, 99), equalTo(3L));
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assertThat(zSetOps.score(key1, value3), equalTo(3.0));
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// aggregate in MAX
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K key3 = keyFactory.instance();
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Set<TypedTuple<V>> values3 = new HashSet<>();
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values3.add(new DefaultTypedTuple<>(value4, 4.0));
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values3.add(new DefaultTypedTuple<>(value2, 20.0));
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zSetOps.add(key3, values3);
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List<K> otherKeys3 = Arrays.asList(key3);
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zSetOps.unionAndStore(key1, otherKeys3, key1, RedisZSetCommands.Aggregate.MAX);
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assertThat(zSetOps.count(key1, 0, 99), equalTo(4L));
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assertThat(zSetOps.score(key1, value4), equalTo(4.0));
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assertThat(zSetOps.score(key1, value2), equalTo(20.0));
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// aggregate in MIN with weight
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K key4 = keyFactory.instance();
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Set<TypedTuple<V>> values1_1 = new HashSet<>();
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values1_1.add(new DefaultTypedTuple<>(value1, 4.0));
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zSetOps.add(key4, values1_1);
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List<K> otherKeys4 = Arrays.asList(key4);
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int weight[] = {2, 1};
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zSetOps.unionAndStore(key1, otherKeys4, weight, key1, RedisZSetCommands.Aggregate.MIN);
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assertThat(zSetOps.count(key1, 0, 99), equalTo(4L));
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assertThat(zSetOps.score(key1, value1), equalTo(2.0));
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int weight2[] = {5, 1};
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zSetOps.unionAndStore(key1, otherKeys4, weight2, key1, RedisZSetCommands.Aggregate.MIN);
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assertThat(zSetOps.score(key1, value1), equalTo(4.0));
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}
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}
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