use of io.druid.query.extraction.MapLookupExtractor in project druid by druid-io.
the class JavaScriptFilterTest method testJavascriptFilterWithLookupExtractionFn.
@Test
public void testJavascriptFilterWithLookupExtractionFn() {
final Map<String, String> stringMap = ImmutableMap.of("1", "HELLO", "a", "HELLO", "def", "HELLO", "abc", "UNKNOWN");
LookupExtractor mapExtractor = new MapLookupExtractor(stringMap, false);
LookupExtractionFn lookupFn = new LookupExtractionFn(mapExtractor, false, "UNKNOWN", false, true);
assertFilterMatches(newJavaScriptDimFilter("dim0", jsValueFilter("HELLO"), lookupFn), ImmutableList.of("1"));
assertFilterMatches(newJavaScriptDimFilter("dim0", jsValueFilter("UNKNOWN"), lookupFn), ImmutableList.of("0", "2", "3", "4", "5"));
assertFilterMatches(newJavaScriptDimFilter("dim1", jsValueFilter("HELLO"), lookupFn), ImmutableList.of("3", "4"));
assertFilterMatches(newJavaScriptDimFilter("dim1", jsValueFilter("UNKNOWN"), lookupFn), ImmutableList.of("0", "1", "2", "5"));
assertFilterMatches(newJavaScriptDimFilter("dim2", jsValueFilter("HELLO"), lookupFn), ImmutableList.of("0", "3"));
assertFilterMatches(newJavaScriptDimFilter("dim2", jsValueFilter("UNKNOWN"), lookupFn), ImmutableList.of("0", "1", "2", "4", "5"));
assertFilterMatches(newJavaScriptDimFilter("dim3", jsValueFilter("HELLO"), lookupFn), ImmutableList.<String>of());
assertFilterMatches(newJavaScriptDimFilter("dim3", jsValueFilter("UNKNOWN"), lookupFn), ImmutableList.of("0", "1", "2", "3", "4", "5"));
assertFilterMatches(newJavaScriptDimFilter("dim4", jsValueFilter("HELLO"), lookupFn), ImmutableList.<String>of());
assertFilterMatches(newJavaScriptDimFilter("dim4", jsValueFilter("UNKNOWN"), lookupFn), ImmutableList.of("0", "1", "2", "3", "4", "5"));
}
use of io.druid.query.extraction.MapLookupExtractor in project druid by druid-io.
the class ScanQueryRunnerTest method testSelectWithFilterLookupExtractionFn.
@Test
public void testSelectWithFilterLookupExtractionFn() {
Map<String, String> extractionMap = new HashMap<>();
extractionMap.put("total_market", "replaced");
MapLookupExtractor mapLookupExtractor = new MapLookupExtractor(extractionMap, false);
LookupExtractionFn lookupExtractionFn = new LookupExtractionFn(mapLookupExtractor, false, null, true, true);
ScanQuery query = newTestQuery().intervals(I_0112_0114).filters(new SelectorDimFilter(QueryRunnerTestHelper.marketDimension, "replaced", lookupExtractionFn)).columns(QueryRunnerTestHelper.qualityDimension, QueryRunnerTestHelper.indexMetric).build();
Iterable<ScanResultValue> results = Sequences.toList(runner.run(query, Maps.newHashMap()), Lists.<ScanResultValue>newArrayList());
Iterable<ScanResultValue> resultsOptimize = Sequences.toList(toolChest.postMergeQueryDecoration(toolChest.mergeResults(toolChest.preMergeQueryDecoration(runner))).run(query, Maps.<String, Object>newHashMap()), Lists.<ScanResultValue>newArrayList());
final List<List<Map<String, Object>>> events = toEvents(new String[] { ScanResultValue.timestampKey + ":TIME", null, QueryRunnerTestHelper.qualityDimension + ":STRING", null, null, QueryRunnerTestHelper.indexMetric + ":FLOAT" }, // filtered values with day granularity
new String[] { "2011-01-12T00:00:00.000Z\ttotal_market\tmezzanine\tpreferred\tmpreferred\t1000.000000", "2011-01-12T00:00:00.000Z\ttotal_market\tpremium\tpreferred\tppreferred\t1000.000000" }, new String[] { "2011-01-13T00:00:00.000Z\ttotal_market\tmezzanine\tpreferred\tmpreferred\t1040.945505", "2011-01-13T00:00:00.000Z\ttotal_market\tpremium\tpreferred\tppreferred\t1689.012875" });
List<ScanResultValue> expectedResults = toExpected(events, Lists.newArrayList(ScanResultValue.timestampKey, QueryRunnerTestHelper.qualityDimension, QueryRunnerTestHelper.indexMetric), 0, 3);
verify(expectedResults, results);
verify(expectedResults, resultsOptimize);
}
use of io.druid.query.extraction.MapLookupExtractor in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithExtractionDimFilterKeyisNull.
@Test
public void testGroupByWithExtractionDimFilterKeyisNull() {
Map<String, String> extractionMap = new HashMap<>();
extractionMap.put("", "NULLorEMPTY");
MapLookupExtractor mapLookupExtractor = new MapLookupExtractor(extractionMap, false);
LookupExtractionFn lookupExtractionFn = new LookupExtractionFn(mapLookupExtractor, false, null, true, false);
GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("null_column", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).setDimFilter(new ExtractionDimFilter("null_column", "NULLorEMPTY", lookupExtractionFn, null)).build();
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", null, "rows", 13L, "idx", 6619L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", null, "rows", 13L, "idx", 5827L));
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
use of io.druid.query.extraction.MapLookupExtractor in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithRebucketRename.
@Test
public void testGroupByWithRebucketRename() {
Map<String, String> map = new HashMap<>();
map.put("automotive", "automotive0");
map.put("business", "business0");
map.put("entertainment", "entertainment0");
map.put("health", "health0");
map.put("mezzanine", "mezzanine0");
map.put("news", "news0");
map.put("premium", "premium0");
map.put("technology", "technology0");
map.put("travel", "travel0");
GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new ExtractionDimensionSpec("quality", "alias", new LookupExtractionFn(new MapLookupExtractor(map, false), false, null, false, false)))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "automotive0", "rows", 1L, "idx", 135L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business0", "rows", 1L, "idx", 118L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "entertainment0", "rows", 1L, "idx", 158L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "health0", "rows", 1L, "idx", 120L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine0", "rows", 3L, "idx", 2870L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "news0", "rows", 1L, "idx", 121L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium0", "rows", 3L, "idx", 2900L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "technology0", "rows", 1L, "idx", 78L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "travel0", "rows", 1L, "idx", 119L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "automotive0", "rows", 1L, "idx", 147L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "business0", "rows", 1L, "idx", 112L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "entertainment0", "rows", 1L, "idx", 166L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "health0", "rows", 1L, "idx", 113L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "mezzanine0", "rows", 3L, "idx", 2447L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "news0", "rows", 1L, "idx", 114L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "premium0", "rows", 3L, "idx", 2505L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "technology0", "rows", 1L, "idx", 97L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "travel0", "rows", 1L, "idx", 126L));
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
use of io.druid.query.extraction.MapLookupExtractor in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithSimpleRenameRetainMissingNonInjective.
@Test
public void testGroupByWithSimpleRenameRetainMissingNonInjective() {
Map<String, String> map = new HashMap<>();
map.put("automotive", "automotive0");
map.put("business", "business0");
map.put("entertainment", "entertainment0");
map.put("health", "health0");
map.put("mezzanine", "mezzanine0");
map.put("news", "news0");
map.put("premium", "premium0");
map.put("technology", "technology0");
map.put("travel", "travel0");
GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new ExtractionDimensionSpec("quality", "alias", new LookupExtractionFn(new MapLookupExtractor(map, false), true, null, false, false)))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "automotive0", "rows", 1L, "idx", 135L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business0", "rows", 1L, "idx", 118L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "entertainment0", "rows", 1L, "idx", 158L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "health0", "rows", 1L, "idx", 120L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine0", "rows", 3L, "idx", 2870L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "news0", "rows", 1L, "idx", 121L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium0", "rows", 3L, "idx", 2900L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "technology0", "rows", 1L, "idx", 78L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "travel0", "rows", 1L, "idx", 119L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "automotive0", "rows", 1L, "idx", 147L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "business0", "rows", 1L, "idx", 112L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "entertainment0", "rows", 1L, "idx", 166L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "health0", "rows", 1L, "idx", 113L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "mezzanine0", "rows", 3L, "idx", 2447L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "news0", "rows", 1L, "idx", 114L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "premium0", "rows", 3L, "idx", 2505L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "technology0", "rows", 1L, "idx", 97L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", "travel0", "rows", 1L, "idx", 126L));
Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
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