Examples with ExtractionFn io.druid.query.extraction.ExtractionFn used on opensource projects

Example 31 with ExtractionFn

use of io.druid.query.extraction.ExtractionFn in project druid by druid-io.

the class GroupByQueryRunnerTest method testDimFilterHavingSpecWithExtractionFns.

@Test
public void testDimFilterHavingSpecWithExtractionFns() {
    String extractionJsFn = "function(str) { return 'super-' + str; }";
    ExtractionFn extractionFn = new JavaScriptExtractionFn(extractionJsFn, false, JavaScriptConfig.getEnabledInstance());
    String extractionJsFn2 = "function(num) { return num + 10; }";
    ExtractionFn extractionFn2 = new JavaScriptExtractionFn(extractionJsFn2, false, JavaScriptConfig.getEnabledInstance());
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "business", "rows", 2L, "idx", 217L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L));
    final DimFilterHavingSpec havingSpec = new DimFilterHavingSpec(new OrDimFilter(ImmutableList.of(new BoundDimFilter("rows", "12", null, true, false, null, extractionFn2, StringComparators.NUMERIC), new SelectorDimFilter("idx", "super-217", extractionFn))));
    GroupByQuery.Builder builder = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setInterval("2011-04-02/2011-04-04").setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias"))).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(havingSpec);
    final GroupByQuery fullQuery = builder.build();
    TestHelper.assertExpectedObjects(expectedResults, GroupByQueryRunnerTestHelper.runQuery(factory, runner, fullQuery), "");
}

Example 32 with ExtractionFn

use of io.druid.query.extraction.ExtractionFn in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByFloatColumnWithExFn.

@Test
public void testGroupByFloatColumnWithExFn() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
        expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
    }
    String jsFn = "function(str) { return 'super-' + str; }";
    ExtractionFn jsExtractionFn = new JavaScriptExtractionFn(jsFn, false, JavaScriptConfig.getEnabledInstance());
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new ExtractionDimensionSpec("index", "index_alias", jsExtractionFn))).setDimFilter(new SelectorDimFilter("quality", "entertainment", null)).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    List<Row> expectedResults;
    expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "index_alias", "super-158.74722290039062", "rows", 1L, "idx", 158L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "index_alias", "super-166.01605224609375", "rows", 1L, "idx", 166L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}

Example 33 with ExtractionFn

use of io.druid.query.extraction.ExtractionFn in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByStringOutputAsLong.

@Test
public void testGroupByStringOutputAsLong() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
        expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
    }
    ExtractionFn strlenFn = StrlenExtractionFn.instance();
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new ExtractionDimensionSpec(QueryRunnerTestHelper.qualityDimension, "alias", ValueType.LONG, strlenFn))).setDimFilter(new SelectorDimFilter(QueryRunnerTestHelper.qualityDimension, "entertainment", null)).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "alias", 13L, "rows", 1L, "idx", 158L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "alias", 13L, "rows", 1L, "idx", 166L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}

Example 34 with ExtractionFn

use of io.druid.query.extraction.ExtractionFn in project druid by druid-io.

the class GroupByQueryRunnerTest method testGroupByLongColumnWithExFn.

@Test
public void testGroupByLongColumnWithExFn() {
    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
        expectedException.expect(UnsupportedOperationException.class);
        expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
    }
    String jsFn = "function(str) { return 'super-' + str; }";
    ExtractionFn jsExtractionFn = new JavaScriptExtractionFn(jsFn, false, JavaScriptConfig.getEnabledInstance());
    GroupByQuery query = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.dataSource).setQuerySegmentSpec(QueryRunnerTestHelper.firstToThird).setDimensions(Lists.<DimensionSpec>newArrayList(new ExtractionDimensionSpec("qualityLong", "ql_alias", jsExtractionFn))).setDimFilter(new SelectorDimFilter("quality", "entertainment", null)).setAggregatorSpecs(Arrays.asList(QueryRunnerTestHelper.rowsCount, new LongSumAggregatorFactory("idx", "index"))).setGranularity(QueryRunnerTestHelper.dayGran).build();
    List<Row> expectedResults = Arrays.asList(GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-01", "ql_alias", "super-1200", "rows", 1L, "idx", 158L), GroupByQueryRunnerTestHelper.createExpectedRow("2011-04-02", "ql_alias", "super-1200", "rows", 1L, "idx", 166L));
    Iterable<Row> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
    TestHelper.assertExpectedObjects(expectedResults, results, "");
}

Example 35 with ExtractionFn

use of io.druid.query.extraction.ExtractionFn in project druid by druid-io.

the class TopNQueryRunnerTest method testTopNWithNullProducingDimExtractionFn.

@Test
public void testTopNWithNullProducingDimExtractionFn() {
    final ExtractionFn nullStringDimExtraction = new DimExtractionFn() {

        @Override
        public byte[] getCacheKey() {
            return new byte[] { (byte) 0xFF };
        }

        @Override
        public String apply(String dimValue) {
            return dimValue.equals("total_market") ? null : dimValue;
        }

        @Override
        public boolean preservesOrdering() {
            return false;
        }

        @Override
        public ExtractionType getExtractionType() {
            return ExtractionType.MANY_TO_ONE;
        }
    };
    final TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).metric("rows").threshold(4).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension, nullStringDimExtraction)).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, "spot", "rows", 18L, "index", 2231.8768157958984D, "addRowsIndexConstant", 2250.8768157958984D, "uniques", QueryRunnerTestHelper.UNIQUES_9), new LinkedHashMap<String, Object>() {

        {
            put(QueryRunnerTestHelper.marketDimension, null);
            put("rows", 4L);
            put("index", 5351.814697265625D);
            put("addRowsIndexConstant", 5356.814697265625D);
            put("uniques", QueryRunnerTestHelper.UNIQUES_2);
        }
    }, ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "upfront", "rows", 4L, "index", 4875.669677734375D, "addRowsIndexConstant", 4880.669677734375D, "uniques", QueryRunnerTestHelper.UNIQUES_2)))));
    assertExpectedResults(expectedResults, query);
}