Examples with Row org.apache.druid.data.input.Row used on opensource projects

Example 21 with Row

use of org.apache.druid.data.input.Row in project druid by druid-io.

the class MovingAverageIterableTest method testMissingDataAtTheEnd.

// test injection when the data is missing at the end
@Test
public void testMissingDataAtTheEnd() {
    Map<String, Object> event1 = new HashMap<>();
    Map<String, Object> event2 = new HashMap<>();
    Map<String, Object> event3 = new HashMap<>();
    event1.put("gender", "m");
    event1.put("pageViews", 10L);
    event2.put("gender", "f");
    event2.put("pageViews", 20L);
    event3.put("gender", "u");
    event3.put("pageViews", 30L);
    List<DimensionSpec> ds = new ArrayList<>();
    ds.add(new DefaultDimensionSpec("gender", "gender"));
    Row jan1Row1 = new MapBasedRow(JAN_1, event1);
    Row jan1Row2 = new MapBasedRow(JAN_1, event2);
    Row jan1Row3 = new MapBasedRow(JAN_1, event3);
    Row jan2Row1 = new MapBasedRow(JAN_2, event1);
    Sequence<RowBucket> seq = Sequences.simple(Arrays.asList(new RowBucket(JAN_1, Arrays.asList(jan1Row1, jan1Row2, jan1Row3)), new RowBucket(JAN_2, Collections.singletonList(jan2Row1))));
    Iterator<Row> iter = new MovingAverageIterable(seq, ds, Collections.singletonList(new LongMeanAveragerFactory("movingAvgPageViews", 2, 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(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()));
    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()));
    Assert.assertFalse(iter.hasNext());
}

Example 22 with Row

use of org.apache.druid.data.input.Row in project druid by druid-io.

the class MovingAverageIterableTest method testNext.

@Test
public void testNext() {
    List<DimensionSpec> dims = Arrays.asList(new DefaultDimensionSpec(GENDER, GENDER), new DefaultDimensionSpec(AGE, AGE), new DefaultDimensionSpec(COUNTRY, COUNTRY));
    Sequence<RowBucket> dayBuckets = Sequences.simple(Arrays.asList(new RowBucket(JAN_1, Arrays.asList(new MapBasedRow(JAN_1, DIMS1), new MapBasedRow(JAN_1, DIMS2))), new RowBucket(JAN_2, Collections.singletonList(new MapBasedRow(JAN_2, DIMS1))), new RowBucket(JAN_3, Collections.emptyList()), new RowBucket(JAN_4, Arrays.asList(new MapBasedRow(JAN_4, DIMS2), new MapBasedRow(JAN_4, DIMS3)))));
    Iterable<Row> iterable = new MovingAverageIterable(dayBuckets, dims, Collections.singletonList(new ConstantAveragerFactory("noop", 1, 1.1f)), Collections.emptyList(), Collections.emptyList());
    Iterator<Row> iter = iterable.iterator();
    Assert.assertTrue(iter.hasNext());
    Row r = iter.next();
    Assert.assertEquals(JAN_1, r.getTimestamp());
    Assert.assertEquals("m", r.getRaw(GENDER));
    Assert.assertTrue(iter.hasNext());
    r = iter.next();
    Assert.assertEquals(JAN_1, r.getTimestamp());
    Assert.assertEquals("f", r.getRaw(GENDER));
    Assert.assertTrue(iter.hasNext());
    r = iter.next();
    Assert.assertEquals(JAN_2, r.getTimestamp());
    Assert.assertEquals("m", r.getRaw(GENDER));
    Assert.assertTrue(iter.hasNext());
    r = iter.next();
    Assert.assertEquals(JAN_2, r.getTimestamp());
    Assert.assertEquals("f", r.getRaw(GENDER));
    Assert.assertTrue(iter.hasNext());
    r = iter.next();
    Row r2 = r;
    Assert.assertEquals(JAN_3, r.getTimestamp());
    Assert.assertEquals("US", r.getRaw(COUNTRY));
    Assert.assertTrue(iter.hasNext());
    r = iter.next();
    Assert.assertEquals(JAN_3, r.getTimestamp());
    Assert.assertEquals("US", r.getRaw(COUNTRY));
    Assert.assertThat(r.getRaw(AGE), CoreMatchers.not(CoreMatchers.equalTo(r2.getRaw(AGE))));
    Assert.assertTrue(iter.hasNext());
    r = iter.next();
    Assert.assertEquals(JAN_4, r.getTimestamp());
    Assert.assertEquals("f", r.getRaw(GENDER));
    Assert.assertTrue(iter.hasNext());
    r = iter.next();
    Assert.assertEquals(JAN_4, r.getTimestamp());
    Assert.assertEquals("u", r.getRaw(GENDER));
    Assert.assertTrue(iter.hasNext());
    r = iter.next();
    Assert.assertEquals(JAN_4, r.getTimestamp());
    Assert.assertEquals("m", r.getRaw(GENDER));
    Assert.assertFalse(iter.hasNext());
}

Example 23 with Row

use of org.apache.druid.data.input.Row in project druid by druid-io.

the class MovingAverageIterableTest method testMissingDataAtBeginning.

// no injection if the data missing at the begining
@Test
public void testMissingDataAtBeginning() {
    Map<String, Object> event1 = new HashMap<>();
    Map<String, Object> event2 = new HashMap<>();
    Map<String, Object> event3 = new HashMap<>();
    event1.put("gender", "m");
    event1.put("pageViews", 10L);
    event2.put("gender", "f");
    event2.put("pageViews", 20L);
    event3.put("gender", "u");
    event3.put("pageViews", 30L);
    List<DimensionSpec> ds = new ArrayList<>();
    ds.add(new DefaultDimensionSpec("gender", "gender"));
    Row jan1Row1 = new MapBasedRow(JAN_1, event1);
    Row jan2Row1 = new MapBasedRow(JAN_2, event1);
    Row jan2Row2 = new MapBasedRow(JAN_2, event2);
    Row jan2Row3 = new MapBasedRow(JAN_2, event3);
    Sequence<RowBucket> seq = Sequences.simple(Arrays.asList(new RowBucket(JAN_1, Collections.singletonList(jan1Row1)), new RowBucket(JAN_2, Arrays.asList(jan2Row1, jan2Row2, jan2Row3))));
    Iterator<Row> iter = new MovingAverageIterable(seq, ds, Collections.singletonList(new LongMeanAveragerFactory("movingAvgPageViews", 2, 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(JAN_1, (result.getTimestamp()));
    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("f", (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.assertFalse(iter.hasNext());
}

Example 24 with Row

use of org.apache.druid.data.input.Row 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 25 with Row

use of org.apache.druid.data.input.Row in project druid by druid-io.

the class PostAveragerAggregatorCalculatorTest method testApplyMissingColumn.

@Test
public void testApplyMissingColumn() {
    event.put("count", 10.0);
    Row result = pac.apply(row);
    Assert.assertEquals(0.0, result.getMetric("avgCountRatio").floatValue(), 0.0);
    Assert.assertNull(result.getRaw("avgCountRatio"));
}