Examples with TopNQueryEngine org.apache.druid.query.topn.TopNQueryEngine used on opensource projects

Example 1 with TopNQueryEngine

use of org.apache.druid.query.topn.TopNQueryEngine in project druid by druid-io.

the class IncrementalIndexStorageAdapterTest method testSingleValueTopN.

@Test
public void testSingleValueTopN() throws IOException {
    IncrementalIndex index = indexCreator.createIndex();
    DateTime t = DateTimes.nowUtc();
    index.add(new MapBasedInputRow(t.minus(1).getMillis(), Collections.singletonList("sally"), ImmutableMap.of("sally", "bo")));
    try (CloseableStupidPool<ByteBuffer> pool = new CloseableStupidPool<>("TopNQueryEngine-bufferPool", () -> ByteBuffer.allocate(50000))) {
        TopNQueryEngine engine = new TopNQueryEngine(pool);
        final Iterable<Result<TopNResultValue>> results = engine.query(new TopNQueryBuilder().dataSource("test").granularity(Granularities.ALL).intervals(Collections.singletonList(new Interval(DateTimes.EPOCH, DateTimes.nowUtc()))).dimension("sally").metric("cnt").threshold(10).aggregators(new LongSumAggregatorFactory("cnt", "cnt")).build(), new IncrementalIndexStorageAdapter(index), null).toList();
        Assert.assertEquals(1, Iterables.size(results));
        Assert.assertEquals(1, results.iterator().next().getValue().getValue().size());
    }
}

Example 2 with TopNQueryEngine

use of org.apache.druid.query.topn.TopNQueryEngine in project druid by druid-io.

the class DistinctCountTopNQueryTest method testTopNWithDistinctCountAgg.

@Test
public void testTopNWithDistinctCountAgg() throws Exception {
    TopNQueryEngine engine = new TopNQueryEngine(pool);
    IncrementalIndex index = new OnheapIncrementalIndex.Builder().setIndexSchema(new IncrementalIndexSchema.Builder().withQueryGranularity(Granularities.SECOND).withMetrics(new CountAggregatorFactory("cnt")).build()).setMaxRowCount(1000).build();
    String visitor_id = "visitor_id";
    String client_type = "client_type";
    DateTime time = DateTimes.of("2016-03-04T00:00:00.000Z");
    long timestamp = time.getMillis();
    index.add(new MapBasedInputRow(timestamp, Lists.newArrayList(visitor_id, client_type), ImmutableMap.of(visitor_id, "0", client_type, "iphone")));
    index.add(new MapBasedInputRow(timestamp, Lists.newArrayList(visitor_id, client_type), ImmutableMap.of(visitor_id, "1", client_type, "iphone")));
    index.add(new MapBasedInputRow(timestamp, Lists.newArrayList(visitor_id, client_type), ImmutableMap.of(visitor_id, "2", client_type, "android")));
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).dimension(client_type).metric("UV").threshold(10).aggregators(QueryRunnerTestHelper.ROWS_COUNT, new DistinctCountAggregatorFactory("UV", visitor_id, null)).build();
    final Iterable<Result<TopNResultValue>> results = engine.query(query, new IncrementalIndexStorageAdapter(index), null).toList();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(time, new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.of(client_type, "iphone", "UV", 2L, "rows", 2L), ImmutableMap.of(client_type, "android", "UV", 1L, "rows", 1L)))));
    TestHelper.assertExpectedResults(expectedResults, results);
}