Examples with DoubleMinAggregatorFactory org.apache.druid.query.aggregation.DoubleMinAggregatorFactory used on opensource projects

Example 1 with DoubleMinAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleMinAggregatorFactory in project druid by druid-io.

the class TopNQueryRunnerTest method testFullOnTopN.

@Test
public void testFullOnTopN() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(QueryRunnerTestHelper.MARKET_DIMENSION).metric(QueryRunnerTestHelper.INDEX_METRIC).threshold(4).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(Lists.newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.MARKET_DIMENSION, "total_market").put("rows", 186L).put("index", 215679.82879638672D).put("addRowsIndexConstant", 215866.82879638672D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1743.92175D).put("minIndex", 792.3260498046875D).build(), ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.MARKET_DIMENSION, "upfront").put("rows", 186L).put("index", 192046.1060180664D).put("addRowsIndexConstant", 192233.1060180664D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1870.061029D).put("minIndex", 545.9906005859375D).build(), ImmutableMap.<String, Object>builder().put(QueryRunnerTestHelper.MARKET_DIMENSION, "spot").put("rows", 837L).put("index", 95606.57232284546D).put("addRowsIndexConstant", 96444.57232284546D).put("uniques", QueryRunnerTestHelper.UNIQUES_9).put("maxIndex", 277.273533D).put("minIndex", 59.02102279663086D).build()))));
    assertExpectedResults(expectedResults, query);
    assertExpectedResults(expectedResults, query.withAggregatorSpecs(Lists.newArrayList(Iterables.concat(QueryRunnerTestHelper.COMMON_FLOAT_AGGREGATORS, Lists.newArrayList(new FloatMaxAggregatorFactory("maxIndex", "indexFloat"), new FloatMinAggregatorFactory("minIndex", "indexFloat"))))));
}

Example 2 with DoubleMinAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleMinAggregatorFactory in project druid by druid-io.

the class TopNQueryRunnerTest method testFullOnTopNDimExtractionAllNulls.

@Test
public void testFullOnTopNDimExtractionAllNulls() {
    String jsFn = "function(str) { return null; }";
    ExtractionFn jsExtractionFn = new JavaScriptExtractionFn(jsFn, false, JavaScriptConfig.getEnabledInstance());
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.MARKET_DIMENSION, QueryRunnerTestHelper.MARKET_DIMENSION, jsExtractionFn)).metric(QueryRunnerTestHelper.INDEX_METRIC).threshold(4).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(Lists.newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).build();
    Map<String, Object> expectedMap = new HashMap<>();
    expectedMap.put(QueryRunnerTestHelper.MARKET_DIMENSION, null);
    expectedMap.put("rows", 1209L);
    expectedMap.put("index", 503332.5071372986D);
    expectedMap.put("addRowsIndexConstant", 504542.5071372986D);
    expectedMap.put("uniques", 9.019833517963864);
    expectedMap.put("maxIndex", 1870.061029D);
    expectedMap.put("minIndex", 59.02102279663086D);
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Collections.singletonList(expectedMap))));
    assertExpectedResults(expectedResults, query);
}

Example 3 with DoubleMinAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleMinAggregatorFactory in project druid by druid-io.

the class TopNQueryRunnerTest method testTopNWithExtractionFilterNoExistingValue.

@Test
public void testTopNWithExtractionFilterNoExistingValue() {
    Map<String, String> extractionMap = new HashMap<>();
    MapLookupExtractor mapLookupExtractor = new MapLookupExtractor(extractionMap, false);
    LookupExtractionFn lookupExtractionFn;
    if (NullHandling.replaceWithDefault()) {
        lookupExtractionFn = new LookupExtractionFn(mapLookupExtractor, false, null, true, true);
        extractionMap.put("", "NULL");
    } else {
        extractionMap.put("", "NOT_USED");
        lookupExtractionFn = new LookupExtractionFn(mapLookupExtractor, false, "NULL", true, true);
    }
    DimFilter extractionFilter = new ExtractionDimFilter("null_column", "NULL", lookupExtractionFn, null);
    TopNQueryBuilder topNQueryBuilder = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension("null_column").metric(QueryRunnerTestHelper.INDEX_METRIC).threshold(4).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(Lists.newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new FilteredAggregatorFactory(new DoubleMaxAggregatorFactory("maxIndex", "index"), extractionFilter), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT);
    TopNQuery topNQueryWithNULLValueExtraction = topNQueryBuilder.filters(extractionFilter).build();
    Map<String, Object> map = new HashMap<>();
    map.put("null_column", null);
    map.put("rows", 1209L);
    map.put("index", 503332.5071372986D);
    map.put("addRowsIndexConstant", 504542.5071372986D);
    map.put("uniques", QueryRunnerTestHelper.UNIQUES_9);
    map.put("maxIndex", 1870.061029D);
    map.put("minIndex", 59.02102279663086D);
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Collections.singletonList(map))));
    assertExpectedResults(expectedResults, topNQueryWithNULLValueExtraction);
    // Assert the optimization path as well
    final Sequence<Result<TopNResultValue>> retval = runWithPreMergeAndMerge(topNQueryWithNULLValueExtraction);
    TestHelper.assertExpectedResults(expectedResults, retval);
}

Example 4 with DoubleMinAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleMinAggregatorFactory in project druid by druid-io.

the class TopNQueryRunnerTest method testFullOnTopNFloatColumnWithExFn.

@Test
public void testFullOnTopNFloatColumnWithExFn() {
    String jsFn = "function(str) { return 'super-' + str; }";
    ExtractionFn jsExtractionFn = new JavaScriptExtractionFn(jsFn, false, JavaScriptConfig.getEnabledInstance());
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.INDEX_METRIC, "index_alias", jsExtractionFn)).metric(QueryRunnerTestHelper.INDEX_METRIC).threshold(4).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(Lists.newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put("index_alias", "super-1000").put(QueryRunnerTestHelper.INDEX_METRIC, 2000.0D).put("rows", 2L).put("addRowsIndexConstant", 2003.0D).put("uniques", QueryRunnerTestHelper.UNIQUES_2).put("maxIndex", 1000.0D).put("minIndex", 1000.0D).build(), ImmutableMap.<String, Object>builder().put("index_alias", "super-1870.061029").put(QueryRunnerTestHelper.INDEX_METRIC, 1870.061029D).put("rows", 1L).put("addRowsIndexConstant", 1872.06103515625D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1870.061029D).put("minIndex", 1870.061029D).build(), ImmutableMap.<String, Object>builder().put("index_alias", "super-1862.737933").put(QueryRunnerTestHelper.INDEX_METRIC, 1862.737933D).put("rows", 1L).put("addRowsIndexConstant", 1864.7379150390625D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1862.737933D).put("minIndex", 1862.737933D).build(), ImmutableMap.<String, Object>builder().put("index_alias", "super-1743.92175").put(QueryRunnerTestHelper.INDEX_METRIC, 1743.92175D).put("rows", 1L).put("addRowsIndexConstant", 1745.9217529296875D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1743.92175D).put("minIndex", 1743.92175D).build()))));
    assertExpectedResults(expectedResults, query);
}

Example 5 with DoubleMinAggregatorFactory

use of org.apache.druid.query.aggregation.DoubleMinAggregatorFactory in project druid by druid-io.

the class TopNQueryRunnerTest method testFullOnTopNFloatColumnAsString.

@Test
public void testFullOnTopNFloatColumnAsString() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(new DefaultDimensionSpec("qualityFloat", "qf_alias")).metric("maxIndex").threshold(4).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(Lists.newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put("qf_alias", "14000.0").put(QueryRunnerTestHelper.INDEX_METRIC, 217725.41940800005D).put("rows", 279L).put("addRowsIndexConstant", 218005.41940800005D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1870.061029D).put("minIndex", 91.270553D).build(), ImmutableMap.<String, Object>builder().put("qf_alias", "16000.0").put(QueryRunnerTestHelper.INDEX_METRIC, 210865.67977600006D).put("rows", 279L).put("addRowsIndexConstant", 211145.67977600006D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1862.737933D).put("minIndex", 99.284525D).build(), ImmutableMap.<String, Object>builder().put("qf_alias", "10000.0").put(QueryRunnerTestHelper.INDEX_METRIC, 12270.807093D).put("rows", 93L).put("addRowsIndexConstant", 12364.807093D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 277.273533D).put("minIndex", 71.315931D).build(), ImmutableMap.<String, Object>builder().put("qf_alias", "12000.0").put(QueryRunnerTestHelper.INDEX_METRIC, 12086.472791D).put("rows", 93L).put("addRowsIndexConstant", 12180.472791D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 193.787574D).put("minIndex", 84.710523D).build()))));
    assertExpectedResults(expectedResults, query);
}