use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class LongFilteringTest method testLongFilterWithExtractionFn.
@Test
public void testLongFilterWithExtractionFn() {
final Map<String, String> stringMap = new HashMap<>();
stringMap.put("1", "Monday");
stringMap.put("2", "Tuesday");
stringMap.put("3", "Wednesday");
stringMap.put("4", "Thursday");
stringMap.put("5", "Friday");
stringMap.put("6", "Saturday");
LookupExtractor mapExtractor = new MapLookupExtractor(stringMap, false);
LookupExtractionFn exfn = new LookupExtractionFn(mapExtractor, false, "UNKNOWN", false, true);
assertFilterMatches(new SelectorDimFilter(LONG_COLUMN, "Monday", exfn), ImmutableList.of("1"));
assertFilterMatches(new SelectorDimFilter(LONG_COLUMN, "Notaday", exfn), ImmutableList.of());
assertFilterMatches(new BoundDimFilter(LONG_COLUMN, "Fridax", "Fridaz", false, false, null, exfn, StringComparators.ALPHANUMERIC), ImmutableList.of("5"));
assertFilterMatches(new BoundDimFilter(LONG_COLUMN, "Friday", "Friday", true, true, null, exfn, StringComparators.ALPHANUMERIC), ImmutableList.of());
assertFilterMatches(new InDimFilter(LONG_COLUMN, Arrays.asList("Caturday", "Saturday", "Tuesday"), exfn), ImmutableList.of("2", "6"));
// test InFilter HashSet implementation
List<String> bigList = Arrays.asList("Saturday", "Tuesday", "Caturday", "Xanaday", "Vojuday", "Gribaday", "Kipoday", "Dheferday", "Fakeday", "Qeearaday", "Hello", "World", "1", "2", "3", "4", "5", "6", "7");
assertFilterMatches(new InDimFilter(LONG_COLUMN, bigList, exfn), ImmutableList.of("2", "6"));
String jsFn = "function(x) { return(x === 'Wednesday' || x === 'Thursday') }";
assertFilterMatchesSkipVectorize(new JavaScriptDimFilter(LONG_COLUMN, jsFn, exfn, JavaScriptConfig.getEnabledInstance()), ImmutableList.of("3", "4"));
assertFilterMatches(new RegexDimFilter(LONG_COLUMN, ".*day", exfn), ImmutableList.of("1", "2", "3", "4", "5", "6"));
assertFilterMatches(new SearchQueryDimFilter(LONG_COLUMN, new ContainsSearchQuerySpec("s", true), exfn), ImmutableList.of("2", "3", "4"));
}
use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class FloatAndDoubleFilteringTest method doTestFloatFilterWithExtractionFn.
private void doTestFloatFilterWithExtractionFn(final String columnName) {
final Map<String, String> stringMap = new HashMap<>();
stringMap.put("1.0", "Monday");
stringMap.put("2.0", "Tuesday");
stringMap.put("3.0", "Wednesday");
stringMap.put("4.0", "Thursday");
stringMap.put("5.0", "Friday");
stringMap.put("6.0", "Saturday");
LookupExtractor mapExtractor = new MapLookupExtractor(stringMap, false);
LookupExtractionFn exfn = new LookupExtractionFn(mapExtractor, false, "UNKNOWN", false, true);
assertFilterMatches(new SelectorDimFilter(columnName, "Monday", exfn), ImmutableList.of("1"));
assertFilterMatches(new SelectorDimFilter(columnName, "Notaday", exfn), ImmutableList.of());
assertFilterMatches(new BoundDimFilter(columnName, "Fridax", "Fridaz", false, false, null, exfn, StringComparators.ALPHANUMERIC), ImmutableList.of("5"));
assertFilterMatches(new BoundDimFilter(columnName, "Friday", "Friday", true, true, null, exfn, StringComparators.ALPHANUMERIC), ImmutableList.of());
assertFilterMatches(new InDimFilter(columnName, Arrays.asList("Caturday", "Saturday", "Tuesday"), exfn), ImmutableList.of("2", "6"));
// test InFilter HashSet implementation
List<String> bigList = Arrays.asList("Saturday", "Tuesday", "Caturday", "Xanaday", "Vojuday", "Gribaday", "Kipoday", "Dheferday", "Fakeday", "Qeearaday", "Hello", "World", "1", "2", "3", "4", "5", "6", "7");
assertFilterMatches(new InDimFilter(columnName, bigList, exfn), ImmutableList.of("2", "6"));
String jsFn = "function(x) { return(x === 'Wednesday' || x === 'Thursday') }";
assertFilterMatchesSkipVectorize(new JavaScriptDimFilter(columnName, jsFn, exfn, JavaScriptConfig.getEnabledInstance()), ImmutableList.of("3", "4"));
assertFilterMatches(new RegexDimFilter(columnName, ".*day", exfn), ImmutableList.of("1", "2", "3", "4", "5", "6"));
assertFilterMatches(new SearchQueryDimFilter(columnName, new ContainsSearchQuerySpec("s", true), exfn), ImmutableList.of("2", "3", "4"));
}
use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class FloatAndDoubleFilteringTest method doTestFloatColumnFiltering.
private void doTestFloatColumnFiltering(final String columnName) {
assertFilterMatches(new SelectorDimFilter(columnName, "3", null), ImmutableList.of("3"));
assertFilterMatches(new SelectorDimFilter(columnName, "3.0", null), ImmutableList.of("3"));
assertFilterMatches(new BoundDimFilter(columnName, "2", "5", false, false, null, null, StringComparators.NUMERIC), ImmutableList.of("2", "3", "4", "5"));
assertFilterMatches(new BoundDimFilter(columnName, "2.0", "5.0", false, false, null, null, StringComparators.NUMERIC), ImmutableList.of("2", "3", "4", "5"));
assertFilterMatches(new BoundDimFilter(columnName, "1", "4", true, true, null, null, StringComparators.NUMERIC), ImmutableList.of("2", "3"));
assertFilterMatches(new BoundDimFilter(columnName, "1.0", "4.0", true, true, null, null, StringComparators.NUMERIC), ImmutableList.of("2", "3"));
assertFilterMatches(new InDimFilter(columnName, Arrays.asList("2", "4", "8"), null), ImmutableList.of("2", "4"));
assertFilterMatches(new InDimFilter(columnName, Arrays.asList("2.0", "4.0", "8.0"), null), ImmutableList.of("2", "4"));
// cross the hashing threshold to test hashset implementation, filter on even values
List<String> infilterValues = new ArrayList<>(NUM_FILTER_VALUES);
for (int i = 0; i < NUM_FILTER_VALUES; i++) {
infilterValues.add(String.valueOf(i * 2));
}
assertFilterMatches(new InDimFilter(columnName, infilterValues, null), ImmutableList.of("2", "4", "6"));
String jsFn = "function(x) { return(x === 3 || x === 5) }";
assertFilterMatchesSkipVectorize(new JavaScriptDimFilter(columnName, jsFn, null, JavaScriptConfig.getEnabledInstance()), ImmutableList.of("3", "5"));
String jsFn2 = "function(x) { return(x === 3.0 || x === 5.0) }";
assertFilterMatchesSkipVectorize(new JavaScriptDimFilter(columnName, jsFn2, null, JavaScriptConfig.getEnabledInstance()), ImmutableList.of("3", "5"));
assertFilterMatches(new RegexDimFilter(columnName, "4", null), ImmutableList.of("4"));
assertFilterMatches(new RegexDimFilter(columnName, "4.0", null), ImmutableList.of("4"));
assertFilterMatches(new SearchQueryDimFilter(columnName, new ContainsSearchQuerySpec("2", true), null), ImmutableList.of("2"));
assertFilterMatches(new SearchQueryDimFilter(columnName, new ContainsSearchQuerySpec("2", true), null), ImmutableList.of("2"));
}
use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class SelectorFilterTest method testSelectorWithLookupExtractionFn.
@Test
public void testSelectorWithLookupExtractionFn() {
final Map<String, String> stringMap = ImmutableMap.of("1", "HELLO", "a", "HELLO", "abdef", "HELLO", "abc", "UNKNOWN");
LookupExtractor mapExtractor = new MapLookupExtractor(stringMap, false);
LookupExtractionFn lookupFn = new LookupExtractionFn(mapExtractor, false, "UNKNOWN", false, true);
assertFilterMatches(new SelectorDimFilter("dim0", "HELLO", lookupFn), ImmutableList.of("1"));
assertFilterMatches(new SelectorDimFilter("dim0", "UNKNOWN", lookupFn), ImmutableList.of("0", "2", "3", "4", "5"));
assertFilterMatches(new SelectorDimFilter("dim1", "HELLO", lookupFn), ImmutableList.of("3", "4"));
assertFilterMatches(new SelectorDimFilter("dim1", "UNKNOWN", lookupFn), ImmutableList.of("0", "1", "2", "5"));
assertFilterMatches(new SelectorDimFilter("dim2", "HELLO", lookupFn), ImmutableList.of("0", "3"));
assertFilterMatches(new SelectorDimFilter("dim2", "UNKNOWN", lookupFn), ImmutableList.of("0", "1", "2", "4", "5"));
assertFilterMatches(new SelectorDimFilter("dim3", "HELLO", lookupFn), ImmutableList.of());
assertFilterMatches(new SelectorDimFilter("dim3", "UNKNOWN", lookupFn), ImmutableList.of("0", "1", "2", "3", "4", "5"));
assertFilterMatches(new SelectorDimFilter("dim4", "HELLO", lookupFn), ImmutableList.of());
assertFilterMatches(new SelectorDimFilter("dim4", "UNKNOWN", lookupFn), ImmutableList.of("0", "1", "2", "3", "4", "5"));
final Map<String, String> stringMap2 = ImmutableMap.of("2", "5");
LookupExtractor mapExtractor2 = new MapLookupExtractor(stringMap2, false);
LookupExtractionFn lookupFn2 = new LookupExtractionFn(mapExtractor2, true, null, false, true);
assertFilterMatches(new SelectorDimFilter("dim0", "5", lookupFn2), ImmutableList.of("2", "5"));
final Map<String, String> stringMap3 = ImmutableMap.of("1", "");
LookupExtractor mapExtractor3 = new MapLookupExtractor(stringMap3, false);
LookupExtractionFn lookupFn3 = new LookupExtractionFn(mapExtractor3, false, null, false, true);
if (NullHandling.replaceWithDefault()) {
// Nulls and empty strings are considered equivalent
assertFilterMatches(new SelectorDimFilter("dim0", null, lookupFn3), ImmutableList.of("0", "1", "2", "3", "4", "5"));
} else {
assertFilterMatches(new SelectorDimFilter("dim0", null, lookupFn3), ImmutableList.of("0", "2", "3", "4", "5"));
assertFilterMatches(new SelectorDimFilter("dim0", "", lookupFn3), ImmutableList.of("1"));
}
final Map<String, String> stringMap4 = ImmutableMap.of("9", "4");
LookupExtractor mapExtractor4 = new MapLookupExtractor(stringMap4, false);
LookupExtractionFn lookupFn4 = new LookupExtractionFn(mapExtractor4, true, null, false, true);
final Map<String, String> stringMap5 = ImmutableMap.of("5", "44");
LookupExtractor mapExtractor5 = new MapLookupExtractor(stringMap5, false);
LookupExtractionFn lookupFn5 = new LookupExtractionFn(mapExtractor5, true, null, false, true);
final Map<String, String> stringMap6 = ImmutableMap.of("5", "5");
LookupExtractor mapExtractor6 = new MapLookupExtractor(stringMap6, false);
LookupExtractionFn lookupFn6 = new LookupExtractionFn(mapExtractor6, true, null, false, true);
// optimize() tests, check that filter was converted to the proper form
SelectorDimFilter optFilter1 = new SelectorDimFilter("dim1", "UNKNOWN", lookupFn);
SelectorDimFilter optFilter2 = new SelectorDimFilter("dim0", "5", lookupFn2);
SelectorDimFilter optFilter3 = new SelectorDimFilter("dim0", null, lookupFn3);
SelectorDimFilter optFilter4 = new SelectorDimFilter("dim0", "5", lookupFn4);
SelectorDimFilter optFilter5 = new SelectorDimFilter("dim0", "5", lookupFn5);
SelectorDimFilter optFilter6 = new SelectorDimFilter("dim0", "5", lookupFn6);
InDimFilter optFilter2Optimized = new InDimFilter("dim0", Arrays.asList("2", "5"), null);
SelectorDimFilter optFilter4Optimized = new SelectorDimFilter("dim0", "5", null);
SelectorDimFilter optFilter6Optimized = new SelectorDimFilter("dim0", "5", null);
Assert.assertTrue(optFilter1.equals(optFilter1.optimize()));
Assert.assertTrue(optFilter2Optimized.equals(optFilter2.optimize()));
Assert.assertTrue(optFilter3.equals(optFilter3.optimize()));
Assert.assertTrue(optFilter4Optimized.equals(optFilter4.optimize()));
Assert.assertTrue(optFilter5.equals(optFilter5.optimize()));
Assert.assertTrue(optFilter6Optimized.equals(optFilter6.optimize()));
assertFilterMatches(optFilter1, ImmutableList.of("0", "1", "2", "5"));
assertFilterMatches(optFilter2, ImmutableList.of("2", "5"));
if (NullHandling.replaceWithDefault()) {
// Null and Empty strings are same
assertFilterMatches(optFilter3, ImmutableList.of("0", "1", "2", "3", "4", "5"));
} else {
assertFilterMatches(optFilter3, ImmutableList.of("0", "2", "3", "4", "5"));
}
assertFilterMatches(optFilter4, ImmutableList.of("5"));
assertFilterMatches(optFilter5, ImmutableList.of());
assertFilterMatches(optFilter6, ImmutableList.of("5"));
// tests that ExtractionDimFilter (identical to SelectorDimFilter now) optimize() with lookup works
// remove these when ExtractionDimFilter is removed.
assertFilterMatches(new ExtractionDimFilter("dim1", "UNKNOWN", lookupFn, null), ImmutableList.of("0", "1", "2", "5"));
assertFilterMatches(new ExtractionDimFilter("dim0", "5", lookupFn2, null), ImmutableList.of("2", "5"));
if (NullHandling.replaceWithDefault()) {
assertFilterMatches(new ExtractionDimFilter("dim0", null, lookupFn3, null), ImmutableList.of("0", "1", "2", "3", "4", "5"));
} else {
assertFilterMatches(new ExtractionDimFilter("dim0", null, lookupFn3, null), ImmutableList.of("0", "2", "3", "4", "5"));
assertFilterMatches(new ExtractionDimFilter("dim0", "", lookupFn3, null), ImmutableList.of("1"));
}
}
use of org.apache.druid.query.filter.InDimFilter in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByNumericStringsAsNumericWithDecoration.
@Test
public void testGroupByNumericStringsAsNumericWithDecoration() {
// Cannot vectorize due to regex-filtered dimension spec.
cannotVectorize();
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(UnsupportedOperationException.class);
expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
}
// rows with `technology` have `170000` in the qualityNumericString field
RegexFilteredDimensionSpec regexSpec = new RegexFilteredDimensionSpec(new DefaultDimensionSpec("qualityNumericString", "ql", ColumnType.LONG), "170000");
ListFilteredDimensionSpec listFilteredSpec = new ListFilteredDimensionSpec(new DefaultDimensionSpec("qualityNumericString", "qf", ColumnType.FLOAT), Sets.newHashSet("170000"), true);
GroupByQuery query = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(regexSpec, listFilteredSpec).setDimFilter(new InDimFilter("quality", Arrays.asList("entertainment", "technology"), null)).setAggregatorSpecs(new CountAggregatorFactory("count")).setGranularity(QueryRunnerTestHelper.ALL_GRAN).addOrderByColumn("ql").build();
List<ResultRow> expectedResults;
// "entertainment" rows are excluded by the decorated specs, they become empty rows
expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "ql", NullHandling.defaultLongValue(), "qf", NullHandling.defaultDoubleValue(), "count", 2L), makeRow(query, "2011-04-01", "ql", 170000L, "qf", 170000.0, "count", 2L));
Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "numeric-string");
}
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