use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class GroupByQueryRunnerTest method testSubqueryWithOuterTimeFilter.
@Test
public void testSubqueryWithOuterTimeFilter() {
final GroupByQuery subquery = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).setDimensions(new DefaultDimensionSpec("market", "market"), new DefaultDimensionSpec("quality", "quality")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("index", "index")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
final DimFilter fridayFilter = new SelectorDimFilter(ColumnHolder.TIME_COLUMN_NAME, "Friday", new TimeFormatExtractionFn("EEEE", null, null, null, false));
final DimFilter firstDaysFilter = new InDimFilter(ColumnHolder.TIME_COLUMN_NAME, ImmutableList.of("1", "2", "3"), new TimeFormatExtractionFn("d", null, null, null, false));
final GroupByQuery query = makeQueryBuilder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).setDimensions(Collections.emptyList()).setDimFilter(firstDaysFilter).setAggregatorSpecs(new FilteredAggregatorFactory(QueryRunnerTestHelper.ROWS_COUNT, fridayFilter)).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-02-01", "rows", 0L), makeRow(query, "2011-02-02", "rows", 0L), makeRow(query, "2011-02-03", "rows", 0L), makeRow(query, "2011-03-01", "rows", 0L), makeRow(query, "2011-03-02", "rows", 0L), makeRow(query, "2011-03-03", "rows", 0L), makeRow(query, "2011-04-01", "rows", 13L), makeRow(query, "2011-04-02", "rows", 0L), makeRow(query, "2011-04-03", "rows", 0L));
Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "subquery-time-filter");
}
use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByNestedWithInnerQueryNumerics.
@Test
public void testGroupByNestedWithInnerQueryNumerics() {
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(UnsupportedOperationException.class);
expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
}
GroupByQuery subquery = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias"), new DefaultDimensionSpec("qualityLong", "ql_alias", ColumnType.LONG), new DefaultDimensionSpec("qualityFloat", "qf_alias", ColumnType.FLOAT)).setDimFilter(new InDimFilter("quality", Collections.singletonList("entertainment"), null)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
GroupByQuery outerQuery = makeQueryBuilder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("ql_alias", "quallong", ColumnType.LONG), new DefaultDimensionSpec("qf_alias", "qualfloat", ColumnType.FLOAT)).setDimFilter(new AndDimFilter(Lists.newArrayList(new SelectorDimFilter("ql_alias", "1200", null), new BoundDimFilter("qf_alias", "11095.0", "12005.0", true, true, null, null, StringComparators.NUMERIC)))).setAggregatorSpecs(new LongSumAggregatorFactory("ql_alias_sum", "ql_alias"), new DoubleSumAggregatorFactory("qf_alias_sum", "qf_alias")).setGranularity(QueryRunnerTestHelper.ALL_GRAN).build();
List<ResultRow> expectedResults = Collections.singletonList(makeRow(outerQuery, "2011-04-01", "quallong", 1200L, "qualfloat", 12000.0, "ql_alias_sum", 2400L, "qf_alias_sum", 24000.0));
Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, outerQuery);
TestHelper.assertExpectedObjects(expectedResults, results, "numerics");
}
use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class JoinFilterAnalyzerTest method test_filterPushDown_factToRegionToCountryLeftFilterOnChannelAndCountryName.
@Test
public void test_filterPushDown_factToRegionToCountryLeftFilterOnChannelAndCountryName() {
Filter originalFilter = new AndFilter(ImmutableList.of(new SelectorFilter("channel", "#en.wikipedia"), new SelectorFilter("rtc.countryName", "United States")));
List<JoinableClause> joinableClauses = ImmutableList.of(factToRegion(JoinType.LEFT), regionToCountry(JoinType.LEFT));
JoinFilterPreAnalysis joinFilterPreAnalysis = makeDefaultConfigPreAnalysis(originalFilter, joinableClauses, VirtualColumns.EMPTY);
HashJoinSegmentStorageAdapter adapter = new HashJoinSegmentStorageAdapter(factSegment.asStorageAdapter(), joinableClauses, joinFilterPreAnalysis);
JoinTestHelper.verifyCursors(adapter.makeCursors(originalFilter, Intervals.ETERNITY, VirtualColumns.EMPTY, Granularities.ALL, false, null), ImmutableList.of("page", FACT_TO_REGION_PREFIX + "regionName", REGION_TO_COUNTRY_PREFIX + "countryName"), ImmutableList.of(new Object[] { "President of India", "California", "United States" }, new Object[] { "Otjiwarongo Airport", "California", "United States" }, new Object[] { "DirecTV", "North Carolina", "United States" }, new Object[] { "Carlo Curti", "California", "United States" }, new Object[] { "Old Anatolian Turkish", "Virginia", "United States" }));
JoinFilterSplit expectedFilterSplit = new JoinFilterSplit(new AndFilter(ImmutableList.of(new SelectorFilter("channel", "#en.wikipedia"), new InDimFilter("countryIsoCode", ImmutableSet.of("US"), null, null).toFilter())), new SelectorFilter("rtc.countryName", "United States"), ImmutableSet.of());
JoinFilterSplit actualFilterSplit = JoinFilterAnalyzer.splitFilter(joinFilterPreAnalysis);
Assert.assertEquals(expectedFilterSplit, actualFilterSplit);
}
use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class JoinFilterAnalyzerTest method test_filterPushDown_factToCountryFullWithFilterOnChannelAndCountryName.
@Test
public void test_filterPushDown_factToCountryFullWithFilterOnChannelAndCountryName() {
Filter filter = new AndFilter(ImmutableList.of(new SelectorFilter("channel", "#es.wikipedia"), new SelectorFilter(FACT_TO_COUNTRY_ON_ISO_CODE_PREFIX + "countryName", "El Salvador")));
List<JoinableClause> joinableClauses = ImmutableList.of(factToCountryOnIsoCode(JoinType.FULL));
JoinFilterPreAnalysis joinFilterPreAnalysis = makeDefaultConfigPreAnalysis(filter, joinableClauses, VirtualColumns.EMPTY);
HashJoinSegmentStorageAdapter adapter = new HashJoinSegmentStorageAdapter(factSegment.asStorageAdapter(), joinableClauses, joinFilterPreAnalysis);
JoinTestHelper.verifyCursors(adapter.makeCursors(filter, Intervals.ETERNITY, VirtualColumns.EMPTY, Granularities.ALL, false, null), ImmutableList.of("page", "countryIsoCode", "countryNumber", FACT_TO_COUNTRY_ON_ISO_CODE_PREFIX + "countryIsoCode", FACT_TO_COUNTRY_ON_ISO_CODE_PREFIX + "countryName", FACT_TO_COUNTRY_ON_ISO_CODE_PREFIX + "countryNumber"), ImmutableList.of(new Object[] { "Wendigo", "SV", 12L, "SV", "El Salvador", 12L }));
JoinFilterSplit expectedFilterSplit = new JoinFilterSplit(new AndFilter(ImmutableList.of(new SelectorFilter("channel", "#es.wikipedia"), new InDimFilter("countryIsoCode", ImmutableSet.of("SV"), null, null).toFilter())), new SelectorFilter(FACT_TO_COUNTRY_ON_ISO_CODE_PREFIX + "countryName", "El Salvador"), ImmutableSet.of());
JoinFilterSplit actualFilterSplit = JoinFilterAnalyzer.splitFilter(joinFilterPreAnalysis);
Assert.assertEquals(expectedFilterSplit, actualFilterSplit);
}
use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class JoinFilterAnalyzerTest method test_filterPushDown_factToCountryInnerUsingCountryNumberFilterOnChannelAndCountryNameUsingLookup.
@Test
public void test_filterPushDown_factToCountryInnerUsingCountryNumberFilterOnChannelAndCountryNameUsingLookup() {
List<JoinableClause> joinableClauses = ImmutableList.of(factToCountryNameUsingNumberLookup(JoinType.INNER));
Filter originalFilter = new AndFilter(ImmutableList.of(new SelectorFilter("channel", "#en.wikipedia"), new SelectorFilter(FACT_TO_COUNTRY_ON_NUMBER_PREFIX + "v", "Australia")));
JoinFilterPreAnalysis joinFilterPreAnalysis = makeDefaultConfigPreAnalysis(originalFilter, joinableClauses, VirtualColumns.EMPTY);
HashJoinSegmentStorageAdapter adapter = new HashJoinSegmentStorageAdapter(factSegment.asStorageAdapter(), joinableClauses, joinFilterPreAnalysis);
// In non-SQL-compatible mode, we get an extra row, since the 'null' countryNumber for "Talk:Oswald Tilghman"
// is interpreted as 0 (a.k.a. Australia).
JoinTestHelper.verifyCursors(adapter.makeCursors(originalFilter, Intervals.ETERNITY, VirtualColumns.EMPTY, Granularities.ALL, false, null), ImmutableList.of("page", "countryIsoCode", FACT_TO_COUNTRY_ON_NUMBER_PREFIX + "k", FACT_TO_COUNTRY_ON_NUMBER_PREFIX + "v"), NullHandling.sqlCompatible() ? ImmutableList.of(new Object[] { "Peremptory norm", "AU", "0", "Australia" }) : ImmutableList.of(new Object[] { "Talk:Oswald Tilghman", null, "0", "Australia" }, new Object[] { "Peremptory norm", "AU", "0", "Australia" }));
JoinFilterSplit expectedFilterSplit = new JoinFilterSplit(new AndFilter(ImmutableList.of(new SelectorFilter("channel", "#en.wikipedia"), new InDimFilter("countryNumber", ImmutableSet.of("0"), null, null).toFilter())), new SelectorFilter(FACT_TO_COUNTRY_ON_NUMBER_PREFIX + "v", "Australia"), ImmutableSet.of());
JoinFilterSplit actualFilterSplit = JoinFilterAnalyzer.splitFilter(joinFilterPreAnalysis);
Assert.assertEquals(expectedFilterSplit, actualFilterSplit);
}
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