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

Example 21 with MapBasedRow

use of org.apache.druid.data.input.MapBasedRow 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 22 with MapBasedRow

use of org.apache.druid.data.input.MapBasedRow 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 23 with MapBasedRow

use of org.apache.druid.data.input.MapBasedRow 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 24 with MapBasedRow

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

the class PostAveragerAggregatorCalculatorTest method setup.

@Before
public void setup() {
    System.setProperty("druid.generic.useDefaultValueForNull", "true");
    NullHandling.initializeForTests();
    MovingAverageQuery query = new MovingAverageQuery(new TableDataSource("d"), new MultipleIntervalSegmentSpec(Collections.singletonList(new Interval("2017-01-01/2017-01-01", ISOChronology.getInstanceUTC()))), null, Granularities.DAY, null, Collections.singletonList(new CountAggregatorFactory("count")), Collections.emptyList(), null, Collections.singletonList(new DoubleMeanAveragerFactory("avgCount", 7, 1, "count")), Collections.singletonList(new ArithmeticPostAggregator("avgCountRatio", "/", Arrays.asList(new FieldAccessPostAggregator("count", "count"), new FieldAccessPostAggregator("avgCount", "avgCount")))), null, null);
    pac = new PostAveragerAggregatorCalculator(query);
    event = new HashMap<>();
    row = new MapBasedRow(new DateTime(ISOChronology.getInstanceUTC()), event);
}

Example 25 with MapBasedRow

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

the class MapVirtualColumnGroupByTest method testWithSubColumn.

@Test
public void testWithSubColumn() {
    final GroupByQuery query = new GroupByQuery(new TableDataSource(QueryRunnerTestHelper.DATA_SOURCE), new MultipleIntervalSegmentSpec(ImmutableList.of(Intervals.of("2011/2012"))), VirtualColumns.create(ImmutableList.of(new MapVirtualColumn("keys", "values", "params"))), null, Granularities.ALL, ImmutableList.of(new DefaultDimensionSpec("params.key3", "params.key3")), ImmutableList.of(new CountAggregatorFactory("count")), null, null, null, null, null);
    final List<ResultRow> result = runner.run(QueryPlus.wrap(query)).toList();
    final List<ResultRow> expected = ImmutableList.of(new MapBasedRow(DateTimes.of("2011-01-12T00:00:00.000Z"), MapVirtualColumnTestBase.mapOf("count", 1L, "params.key3", "value3")), new MapBasedRow(DateTimes.of("2011-01-12T00:00:00.000Z"), MapVirtualColumnTestBase.mapOf("count", 2L))).stream().map(row -> ResultRow.fromLegacyRow(row, query)).collect(Collectors.toList());
    Assert.assertEquals(expected, result);
}