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Example 1 with TOP_K

use of com.yahoo.bullet.parsing.Aggregation.Type.TOP_K in project bullet-storm by yahoo.

the class JoinBoltTest method testTopK.

@Test
public void testTopK() {
    BulletConfig bulletConfig = TopKTest.makeConfiguration(ErrorType.NO_FALSE_NEGATIVES, 16);
    Map<String, String> fields = new HashMap<>();
    fields.put("A", "");
    fields.put("B", "foo");
    TopK topK = TopKTest.makeTopK(bulletConfig, makeAttributes(null, 5L), fields, 2, null);
    IntStream.range(0, 32).mapToObj(i -> RecordBox.get().add("A", i % 8).getRecord()).forEach(topK::consume);
    byte[] first = topK.getData();
    topK = TopKTest.makeTopK(bulletConfig, makeAttributes(null, 5L), fields, 2, null);
    IntStream.range(0, 8).mapToObj(i -> RecordBox.get().add("A", i % 2).getRecord()).forEach(topK::consume);
    byte[] second = topK.getData();
    bolt = new DonableJoinBolt(config, 2, true);
    setup(bolt);
    String aggregationQuery = makeAggregationQuery(TOP_K, 2, 5L, "cnt", Pair.of("A", ""), Pair.of("B", "foo"));
    Tuple query = TupleUtils.makeIDTuple(TupleClassifier.Type.QUERY_TUPLE, "42", aggregationQuery, EMPTY);
    bolt.execute(query);
    sendRawByteTuplesTo(bolt, "42", asList(first, second));
    BulletRecord expectedA = RecordBox.get().add("A", "0").add("foo", "null").add("cnt", 8L).getRecord();
    BulletRecord expectedB = RecordBox.get().add("A", "1").add("foo", "null").add("cnt", 8L).getRecord();
    List<BulletRecord> results = asList(expectedA, expectedB);
    Tuple expected = TupleUtils.makeTuple(TupleClassifier.Type.RESULT_TUPLE, "42", Clip.of(results).asJSON(), COMPLETED);
    Tuple tick = TupleUtils.makeTuple(TupleClassifier.Type.TICK_TUPLE);
    bolt.execute(tick);
    for (int i = 0; i < BulletStormConfig.DEFAULT_JOIN_BOLT_QUERY_TICK_TIMEOUT - 1; ++i) {
        bolt.execute(tick);
        Assert.assertFalse(wasResultEmittedTo(TopologyConstants.RESULT_STREAM, expected));
    }
    bolt.execute(tick);
    Assert.assertTrue(wasResultEmittedTo(TopologyConstants.RESULT_STREAM, expected));
    Tuple metadata = TupleUtils.makeTuple(TupleClassifier.Type.FEEDBACK_TUPLE, "42", new Metadata(Metadata.Signal.COMPLETE, null));
    Assert.assertTrue(wasMetadataEmittedTo(TopologyConstants.FEEDBACK_STREAM, metadata));
    Assert.assertEquals(collector.getAllEmittedTo(TopologyConstants.RESULT_STREAM).count(), 1);
    Assert.assertEquals(collector.getAllEmittedTo(TopologyConstants.FEEDBACK_STREAM).count(), 1);
}
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Aggregations

JsonArray (com.google.gson.JsonArray)1 JsonObject (com.google.gson.JsonObject)1 JsonParser (com.google.gson.JsonParser)1 CountDistinct (com.yahoo.bullet.aggregations.CountDistinct)1 CountDistinctTest (com.yahoo.bullet.aggregations.CountDistinctTest)1 Distribution (com.yahoo.bullet.aggregations.Distribution)1 DistributionTest (com.yahoo.bullet.aggregations.DistributionTest)1 GroupBy (com.yahoo.bullet.aggregations.GroupBy)1 GroupByTest (com.yahoo.bullet.aggregations.GroupByTest)1 TopK (com.yahoo.bullet.aggregations.TopK)1 TopKTest (com.yahoo.bullet.aggregations.TopKTest)1 GroupData (com.yahoo.bullet.aggregations.grouping.GroupData)1 GroupOperation (com.yahoo.bullet.aggregations.grouping.GroupOperation)1 COUNT (com.yahoo.bullet.aggregations.grouping.GroupOperation.GroupOperationType.COUNT)1 SUM (com.yahoo.bullet.aggregations.grouping.GroupOperation.GroupOperationType.SUM)1 COUNT_FIELD (com.yahoo.bullet.aggregations.sketches.QuantileSketch.COUNT_FIELD)1 END_EXCLUSIVE (com.yahoo.bullet.aggregations.sketches.QuantileSketch.END_EXCLUSIVE)1 NEGATIVE_INFINITY_START (com.yahoo.bullet.aggregations.sketches.QuantileSketch.NEGATIVE_INFINITY_START)1 POSITIVE_INFINITY_END (com.yahoo.bullet.aggregations.sketches.QuantileSketch.POSITIVE_INFINITY_END)1 PROBABILITY_FIELD (com.yahoo.bullet.aggregations.sketches.QuantileSketch.PROBABILITY_FIELD)1