use of io.druid.query.aggregation.PostAggregator in project druid by druid-io.
the class TopNQueryRunnerTest method testTopNWithNonExistentFilter.
@Test
public void testTopNWithNonExistentFilter() {
TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).filters(QueryRunnerTestHelper.marketDimension, "billyblank").dimension(QueryRunnerTestHelper.marketDimension).metric(QueryRunnerTestHelper.indexMetric).threshold(4).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).build();
HashMap<String, Object> context = new HashMap<String, Object>();
assertExpectedResults(Lists.<Result<TopNResultValue>>newArrayList(new Result<TopNResultValue>(new DateTime("2011-04-01T00:00:00.000Z"), new TopNResultValue(Lists.<Map<String, Object>>newArrayList()))), query);
}
use of io.druid.query.aggregation.PostAggregator 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.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.indexMetric, "index_alias", jsExtractionFn)).metric(QueryRunnerTestHelper.indexMetric).threshold(4).intervals(QueryRunnerTestHelper.fullOnInterval).aggregators(Lists.<AggregatorFactory>newArrayList(Iterables.concat(QueryRunnerTestHelper.commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).build();
List<Result<TopNResultValue>> expectedResults = Arrays.asList(new Result<TopNResultValue>(new DateTime("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put("index_alias", "super-1000").put(QueryRunnerTestHelper.indexMetric, 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-1870.06103515625").put(QueryRunnerTestHelper.indexMetric, 1870.06103515625D).put("rows", 1L).put("addRowsIndexConstant", 1872.06103515625D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1870.06103515625D).put("minIndex", 1870.06103515625D).build(), ImmutableMap.<String, Object>builder().put("index_alias", "super-1862.7379150390625").put(QueryRunnerTestHelper.indexMetric, 1862.7379150390625D).put("rows", 1L).put("addRowsIndexConstant", 1864.7379150390625D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1862.7379150390625D).put("minIndex", 1862.7379150390625D).build(), ImmutableMap.<String, Object>builder().put("index_alias", "super-1743.9217529296875").put(QueryRunnerTestHelper.indexMetric, 1743.9217529296875D).put("rows", 1L).put("addRowsIndexConstant", 1745.9217529296875D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1743.9217529296875D).put("minIndex", 1743.9217529296875D).build()))));
assertExpectedResults(expectedResults, query);
}
use of io.druid.query.aggregation.PostAggregator in project druid by druid-io.
the class TopNQueryRunnerTest method testTopNDimExtractionFastTopNUnOptimal.
@Test
public // Test query path that must rebucket the data
void testTopNDimExtractionFastTopNUnOptimal() {
TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension, new LookupExtractionFn(new MapLookupExtractor(ImmutableMap.of("spot", "spot0", "total_market", "total_market0", "upfront", "upfront0"), false), true, null, false, false))).metric("rows").threshold(4).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).build();
List<Result<TopNResultValue>> expectedResults = Arrays.asList(new Result<>(new DateTime("2011-04-01T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "spot0", "rows", 18L, "index", 2231.8768157958984D, "addRowsIndexConstant", 2250.8768157958984D, "uniques", QueryRunnerTestHelper.UNIQUES_9), ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "total_market0", "rows", 4L, "index", 5351.814697265625D, "addRowsIndexConstant", 5356.814697265625D, "uniques", QueryRunnerTestHelper.UNIQUES_2), ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "upfront0", "rows", 4L, "index", 4875.669677734375D, "addRowsIndexConstant", 4880.669677734375D, "uniques", QueryRunnerTestHelper.UNIQUES_2)))));
assertExpectedResults(expectedResults, query);
}
use of io.druid.query.aggregation.PostAggregator in project druid by druid-io.
the class TopNQueryRunnerTest method testTopNWithNonExistentFilterMultiDim.
@Test
public void testTopNWithNonExistentFilterMultiDim() {
AndDimFilter andDimFilter = Druids.newAndDimFilterBuilder().fields(Lists.<DimFilter>newArrayList(Druids.newSelectorDimFilterBuilder().dimension(QueryRunnerTestHelper.marketDimension).value("billyblank").build(), Druids.newSelectorDimFilterBuilder().dimension(QueryRunnerTestHelper.qualityDimension).value("mezzanine").build())).build();
TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).filters(andDimFilter).dimension(QueryRunnerTestHelper.marketDimension).metric(QueryRunnerTestHelper.indexMetric).threshold(4).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).build();
assertExpectedResults(Lists.<Result<TopNResultValue>>newArrayList(new Result<TopNResultValue>(new DateTime("2011-04-01T00:00:00.000Z"), new TopNResultValue(Lists.<Map<String, Object>>newArrayList()))), query);
}
use of io.druid.query.aggregation.PostAggregator in project druid by druid-io.
the class TopNQueryRunnerTest method testTopNLexicographicDimExtractionWithSortingPreservedAndPreviousStop.
@Test
public void testTopNLexicographicDimExtractionWithSortingPreservedAndPreviousStop() {
TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension, new DimExtractionFn() {
@Override
public byte[] getCacheKey() {
return new byte[0];
}
@Override
public String apply(String value) {
return value.substring(0, 1);
}
@Override
public boolean preservesOrdering() {
return true;
}
@Override
public ExtractionType getExtractionType() {
return ExtractionType.MANY_TO_ONE;
}
})).metric(new DimensionTopNMetricSpec("s", StringComparators.LEXICOGRAPHIC)).threshold(4).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).build();
List<Result<TopNResultValue>> expectedResults = Arrays.asList(new Result<TopNResultValue>(new DateTime("2011-04-01T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "t", "rows", 4L, "index", 5351.814697265625D, "addRowsIndexConstant", 5356.814697265625D, "uniques", QueryRunnerTestHelper.UNIQUES_2), ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "u", "rows", 4L, "index", 4875.669677734375D, "addRowsIndexConstant", 4880.669677734375D, "uniques", QueryRunnerTestHelper.UNIQUES_2)))));
assertExpectedResults(expectedResults, query);
}
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