Examples with ExtractionDimensionSpec org.apache.druid.query.dimension.ExtractionDimensionSpec used on opensource projects

Example 16 with ExtractionDimensionSpec

use of org.apache.druid.query.dimension.ExtractionDimensionSpec in project druid by druid-io.

the class TopNQueryRunnerTest method testInvertedTopNLexicographicDimExtractionWithPreviousStop2.

@Test
public void testInvertedTopNLexicographicDimExtractionWithPreviousStop2() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.MARKET_DIMENSION, QueryRunnerTestHelper.MARKET_DIMENSION, new RegexDimExtractionFn("..(.)", false, null))).metric(new InvertedTopNMetricSpec(new DimensionTopNMetricSpec("p", StringComparators.LEXICOGRAPHIC))).threshold(4).intervals(QueryRunnerTestHelper.FIRST_TO_THIRD).aggregators(commonAggregators).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-04-01T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.of(QueryRunnerTestHelper.MARKET_DIMENSION, "o", "rows", 18L, "index", 2231.876812D, "addRowsIndexConstant", 2250.876812D, "uniques", QueryRunnerTestHelper.UNIQUES_9), ImmutableMap.of(QueryRunnerTestHelper.MARKET_DIMENSION, "f", "rows", 4L, "index", 4875.669692D, "addRowsIndexConstant", 4880.669692D, "uniques", QueryRunnerTestHelper.UNIQUES_2)))));
    assertExpectedResults(expectedResults, query);
}

Example 17 with ExtractionDimensionSpec

use of org.apache.druid.query.dimension.ExtractionDimensionSpec 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.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.INDEX_METRIC, "index_alias", jsExtractionFn)).metric(QueryRunnerTestHelper.INDEX_METRIC).threshold(4).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(Lists.newArrayList(Iterables.concat(commonAggregators, Lists.newArrayList(new DoubleMaxAggregatorFactory("maxIndex", "index"), new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>builder().put("index_alias", "super-1000").put(QueryRunnerTestHelper.INDEX_METRIC, 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-1870.061029").put(QueryRunnerTestHelper.INDEX_METRIC, 1870.061029D).put("rows", 1L).put("addRowsIndexConstant", 1872.06103515625D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1870.061029D).put("minIndex", 1870.061029D).build(), ImmutableMap.<String, Object>builder().put("index_alias", "super-1862.737933").put(QueryRunnerTestHelper.INDEX_METRIC, 1862.737933D).put("rows", 1L).put("addRowsIndexConstant", 1864.7379150390625D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1862.737933D).put("minIndex", 1862.737933D).build(), ImmutableMap.<String, Object>builder().put("index_alias", "super-1743.92175").put(QueryRunnerTestHelper.INDEX_METRIC, 1743.92175D).put("rows", 1L).put("addRowsIndexConstant", 1745.9217529296875D).put("uniques", QueryRunnerTestHelper.UNIQUES_1).put("maxIndex", 1743.92175D).put("minIndex", 1743.92175D).build()))));
    assertExpectedResults(expectedResults, query);
}

Example 18 with ExtractionDimensionSpec

use of org.apache.druid.query.dimension.ExtractionDimensionSpec in project druid by druid-io.

the class TopNQueryRunnerTest method testTopNQueryCardinalityAggregatorWithExtractionFn.

@Test
public void testTopNQueryCardinalityAggregatorWithExtractionFn() {
    String helloJsFn = "function(str) { return 'hello' }";
    ExtractionFn helloFn = new JavaScriptExtractionFn(helloJsFn, false, JavaScriptConfig.getEnabledInstance());
    DimensionSpec dimSpec = new ExtractionDimensionSpec(QueryRunnerTestHelper.MARKET_DIMENSION, QueryRunnerTestHelper.MARKET_DIMENSION, helloFn);
    ImmutableList<DimensionSpec> aggregatorDimensionSpecs = ImmutableList.of(new ExtractionDimensionSpec(QueryRunnerTestHelper.QUALITY_DIMENSION, QueryRunnerTestHelper.QUALITY_DIMENSION, helloFn));
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(dimSpec).metric(new NumericTopNMetricSpec("numVals")).threshold(10).intervals(QueryRunnerTestHelper.FIRST_TO_THIRD).aggregators(duplicateAggregators(new CardinalityAggregatorFactory("numVals", aggregatorDimensionSpecs, false), new CardinalityAggregatorFactory("numVals1", aggregatorDimensionSpecs, false))).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-04-01T00:00:00.000Z"), new TopNResultValue(withDuplicateResults(Collections.singletonList(ImmutableMap.of("market", "hello", "numVals", 1.0002442201269182d)), "numVals", "numVals1"))));
    assertExpectedResults(expectedResults, query);
}

Example 19 with ExtractionDimensionSpec

use of org.apache.druid.query.dimension.ExtractionDimensionSpec in project druid by druid-io.

the class TopNQueryRunnerTest method testTopNOnMissingColumnWithExtractionFn.

@Test
public void testTopNOnMissingColumnWithExtractionFn() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(new ExtractionDimensionSpec("nonexistentColumn", "alias", new StringFormatExtractionFn("theValue"))).metric("rows").threshold(4).intervals(QueryRunnerTestHelper.FULL_ON_INTERVAL_SPEC).aggregators(new CountAggregatorFactory("rows")).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-01-12T00:00:00.000Z"), new TopNResultValue(Collections.<Map<String, Object>>singletonList(ImmutableMap.<String, Object>builder().put("alias", "theValue").put("rows", 1209L).build()))));
    assertExpectedResults(expectedResults, query);
}

Example 20 with ExtractionDimensionSpec

use of org.apache.druid.query.dimension.ExtractionDimensionSpec in project druid by druid-io.

the class TopNQueryRunnerTest method testTopNLexicographicDimExtraction.

@Test
public void testTopNLexicographicDimExtraction() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.DATA_SOURCE).granularity(QueryRunnerTestHelper.ALL_GRAN).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.MARKET_DIMENSION, QueryRunnerTestHelper.MARKET_DIMENSION, new RegexDimExtractionFn("(.)", false, null))).metric(new DimensionTopNMetricSpec(null, StringComparators.LEXICOGRAPHIC)).threshold(4).intervals(QueryRunnerTestHelper.FIRST_TO_THIRD).aggregators(commonAggregators).postAggregators(QueryRunnerTestHelper.ADD_ROWS_INDEX_CONSTANT).build();
    List<Result<TopNResultValue>> expectedResults = Collections.singletonList(new Result<>(DateTimes.of("2011-04-01T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.of(QueryRunnerTestHelper.MARKET_DIMENSION, "s", "rows", 18L, "index", 2231.876812D, "addRowsIndexConstant", 2250.876812D, "uniques", QueryRunnerTestHelper.UNIQUES_9), ImmutableMap.of(QueryRunnerTestHelper.MARKET_DIMENSION, "t", "rows", 4L, "index", 5351.814783D, "addRowsIndexConstant", 5356.814783D, "uniques", QueryRunnerTestHelper.UNIQUES_2), ImmutableMap.of(QueryRunnerTestHelper.MARKET_DIMENSION, "u", "rows", 4L, "index", 4875.669692D, "addRowsIndexConstant", 4880.669692D, "uniques", QueryRunnerTestHelper.UNIQUES_2)))));
    assertExpectedResults(expectedResults, query);
}