Examples with DimensionSpec org.apache.druid.query.dimension.DimensionSpec used on opensource projects

Example 26 with DimensionSpec

use of org.apache.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class MovingAverageIterableTest method testMissingDaysAtBegining.

@Test
public void testMissingDaysAtBegining() {
    Map<String, Object> event1 = new HashMap<>();
    Map<String, Object> event2 = new HashMap<>();
    List<DimensionSpec> ds = new ArrayList<>();
    ds.add(new DefaultDimensionSpec("gender", "gender"));
    event1.put("gender", "m");
    event1.put("pageViews", 10L);
    Row row1 = new MapBasedRow(JAN_3, event1);
    event2.put("gender", "m");
    event2.put("pageViews", 20L);
    Row row2 = new MapBasedRow(JAN_4, event2);
    Sequence<RowBucket> seq = Sequences.simple(Arrays.asList(new RowBucket(JAN_1, Collections.emptyList()), new RowBucket(JAN_2, Collections.emptyList()), new RowBucket(JAN_3, Collections.singletonList(row1)), new RowBucket(JAN_4, Collections.singletonList(row2))));
    Iterator<Row> iter = new MovingAverageIterable(seq, ds, Collections.singletonList(new LongMeanAveragerFactory("movingAvgPageViews", 4, 1, "pageViews")), Collections.emptyList(), Collections.singletonList(new LongSumAggregatorFactory("pageViews", "pageViews"))).iterator();
    Assert.assertTrue(iter.hasNext());
    Row result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(2.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(7.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertFalse(iter.hasNext());
}

Example 27 with DimensionSpec

use of org.apache.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class MovingAverageIterableTest method testMissingDataAtMiddle.

// test injection when the data is missing in the middle
@Test
public void testMissingDataAtMiddle() {
    Map<String, Object> eventM = new HashMap<>();
    Map<String, Object> eventF = new HashMap<>();
    Map<String, Object> eventU = new HashMap<>();
    eventM.put("gender", "m");
    eventM.put("pageViews", 10L);
    eventF.put("gender", "f");
    eventF.put("pageViews", 20L);
    eventU.put("gender", "u");
    eventU.put("pageViews", 30L);
    List<DimensionSpec> ds = new ArrayList<>();
    ds.add(new DefaultDimensionSpec("gender", "gender"));
    Row jan1Row1M = new MapBasedRow(JAN_1, eventM);
    Row jan1Row2F = new MapBasedRow(JAN_1, eventF);
    Row jan1Row3U = new MapBasedRow(JAN_1, eventU);
    Row jan2Row1M = new MapBasedRow(JAN_2, eventM);
    Row jan3Row1M = new MapBasedRow(JAN_3, eventM);
    Row jan3Row2F = new MapBasedRow(JAN_3, eventF);
    Row jan3Row3U = new MapBasedRow(JAN_3, eventU);
    Row jan4Row1M = new MapBasedRow(JAN_4, eventM);
    Sequence<RowBucket> seq = Sequences.simple(Arrays.asList(new RowBucket(JAN_1, Arrays.asList(jan1Row1M, jan1Row2F, jan1Row3U)), new RowBucket(JAN_2, Collections.singletonList(jan2Row1M)), new RowBucket(JAN_3, Arrays.asList(jan3Row1M, jan3Row2F, jan3Row3U)), new RowBucket(JAN_4, Collections.singletonList(jan4Row1M))));
    Iterator<Row> iter = new MovingAverageIterable(seq, ds, Collections.singletonList(new LongMeanAveragerFactory("movingAvgPageViews", 3, 1, "pageViews")), Collections.emptyList(), Collections.singletonList(new LongSumAggregatorFactory("pageViews", "pageViews"))).iterator();
    // Jan 1
    Assert.assertTrue(iter.hasNext());
    Row result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_1, (result.getTimestamp()));
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("f", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_1, (result.getTimestamp()));
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("u", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_1, (result.getTimestamp()));
    // Jan 2
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_2, (result.getTimestamp()));
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("u", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_2, (result.getTimestamp()));
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("f", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_2, (result.getTimestamp()));
    // Jan 3
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_3, (result.getTimestamp()));
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("f", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_3, (result.getTimestamp()));
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("u", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_3, (result.getTimestamp()));
    // Jan 4
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_4, (result.getTimestamp()));
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("u", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_4, (result.getTimestamp()));
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("f", (result.getDimension("gender")).get(0));
    Assert.assertEquals(JAN_4, (result.getTimestamp()));
    Assert.assertFalse(iter.hasNext());
}

Example 28 with DimensionSpec

use of org.apache.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class MovingAverageIterableTest method testMissingDaysAtEnd.

@Test
public void testMissingDaysAtEnd() {
    System.setProperty("druid.generic.useDefaultValueForNull", "true");
    NullHandling.initializeForTests();
    Map<String, Object> event1 = new HashMap<>();
    Map<String, Object> event2 = new HashMap<>();
    List<DimensionSpec> ds = new ArrayList<>();
    ds.add(new DefaultDimensionSpec("gender", "gender"));
    event1.put("gender", "m");
    event1.put("pageViews", 10L);
    Row row1 = new MapBasedRow(JAN_1, event1);
    event2.put("gender", "m");
    event2.put("pageViews", 20L);
    Row row2 = new MapBasedRow(JAN_2, event2);
    Sequence<RowBucket> seq = Sequences.simple(Arrays.asList(new RowBucket(JAN_1, Collections.singletonList(row1)), new RowBucket(JAN_2, Collections.singletonList(row2)), new RowBucket(JAN_3, Collections.emptyList()), new RowBucket(JAN_4, Collections.emptyList()), new RowBucket(JAN_5, Collections.emptyList()), new RowBucket(JAN_6, Collections.emptyList())));
    Iterator<Row> iter = new MovingAverageIterable(seq, ds, Collections.singletonList(new LongMeanAveragerFactory("movingAvgPageViews", 4, 1, "pageViews")), Collections.emptyList(), Collections.singletonList(new LongSumAggregatorFactory("pageViews", "pageViews"))).iterator();
    Assert.assertTrue(iter.hasNext());
    Row result = iter.next();
    Assert.assertEquals(JAN_1, result.getTimestamp());
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(2.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals(JAN_2, result.getTimestamp());
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(7.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals(JAN_3, result.getTimestamp());
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(7.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals(JAN_4, result.getTimestamp());
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(7.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals(JAN_5, result.getTimestamp());
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(5.0f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals(JAN_6, result.getTimestamp());
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(0.0f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertFalse(iter.hasNext());
}

Example 29 with DimensionSpec

use of org.apache.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class MovingAverageIterableTest method testMissingDaysInMiddle.

@Test
public void testMissingDaysInMiddle() {
    System.setProperty("druid.generic.useDefaultValueForNull", "true");
    NullHandling.initializeForTests();
    Map<String, Object> event1 = new HashMap<>();
    Map<String, Object> event2 = new HashMap<>();
    List<DimensionSpec> ds = new ArrayList<>();
    ds.add(new DefaultDimensionSpec("gender", "gender"));
    event1.put("gender", "m");
    event1.put("pageViews", 10L);
    Row row1 = new MapBasedRow(JAN_1, event1);
    event2.put("gender", "m");
    event2.put("pageViews", 20L);
    Row row2 = new MapBasedRow(JAN_4, event2);
    Sequence<RowBucket> seq = Sequences.simple(Arrays.asList(new RowBucket(JAN_1, Collections.singletonList(row1)), new RowBucket(JAN_2, Collections.emptyList()), new RowBucket(JAN_3, Collections.emptyList()), new RowBucket(JAN_4, Collections.singletonList(row2))));
    Iterator<Row> iter = new MovingAverageIterable(seq, ds, Collections.singletonList(new LongMeanAveragerFactory("movingAvgPageViews", 4, 1, "pageViews")), Collections.emptyList(), Collections.singletonList(new LongSumAggregatorFactory("pageViews", "pageViews"))).iterator();
    Assert.assertTrue(iter.hasNext());
    Row result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(2.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(2.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(2.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    result = iter.next();
    Assert.assertEquals("m", (result.getDimension("gender")).get(0));
    Assert.assertEquals(7.5f, result.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertFalse(iter.hasNext());
}

Example 30 with DimensionSpec

use of org.apache.druid.query.dimension.DimensionSpec in project druid by druid-io.

the class MovingAverageIterableTest method testAveraging.

@Test
public void testAveraging() {
    Map<String, Object> event1 = new HashMap<>();
    Map<String, Object> event2 = new HashMap<>();
    Map<String, Object> event3 = new HashMap<>();
    Map<String, Object> event4 = new HashMap<>();
    List<DimensionSpec> ds = new ArrayList<>();
    ds.add(new DefaultDimensionSpec("gender", "gender"));
    event1.put("gender", "m");
    event1.put("pageViews", 10L);
    Row row1 = new MapBasedRow(JAN_1, event1);
    event2.put("gender", "m");
    event2.put("pageViews", 20L);
    Row row2 = new MapBasedRow(JAN_2, event2);
    event3.put("gender", "m");
    event3.put("pageViews", 30L);
    Row row3 = new MapBasedRow(JAN_3, event3);
    event4.put("gender", "f");
    event4.put("pageViews", 40L);
    Row row4 = new MapBasedRow(JAN_3, event4);
    float retval = 14.5f;
    Sequence<RowBucket> seq = Sequences.simple(Arrays.asList(new RowBucket(JAN_1, Collections.singletonList(row1)), new RowBucket(JAN_2, Collections.singletonList(row2)), new RowBucket(JAN_3, Arrays.asList(row3, row4))));
    Iterator<Row> iter = new MovingAverageIterable(seq, ds, Arrays.asList(new ConstantAveragerFactory("costPageViews", 7, retval), new LongMeanAveragerFactory("movingAvgPageViews", 7, 1, "pageViews")), Collections.emptyList(), Collections.singletonList(new LongSumAggregatorFactory("pageViews", "pageViews"))).iterator();
    Assert.assertTrue(iter.hasNext());
    Row caResult = iter.next();
    Assert.assertEquals(JAN_1, caResult.getTimestamp());
    Assert.assertEquals("m", (caResult.getDimension("gender")).get(0));
    Assert.assertEquals(retval, caResult.getMetric("costPageViews").floatValue(), 0.0f);
    Assert.assertEquals(1.4285715f, caResult.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    caResult = iter.next();
    Assert.assertEquals("m", (caResult.getDimension("gender")).get(0));
    Assert.assertEquals(4.285714f, caResult.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    caResult = iter.next();
    Assert.assertEquals("m", (caResult.getDimension("gender")).get(0));
    Assert.assertEquals(8.571428f, caResult.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertTrue(iter.hasNext());
    caResult = iter.next();
    Assert.assertEquals("f", (caResult.getDimension("gender")).get(0));
    Assert.assertEquals(5.714285850f, caResult.getMetric("movingAvgPageViews").floatValue(), 0.0f);
    Assert.assertFalse(iter.hasNext());
}