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

Example 21 with MapLookupExtractor

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

the class TopNQueryRunnerTest method testTopNWithExtractionFilter.

@Test
public void testTopNWithExtractionFilter() {
    Map<String, String> extractionMap = new HashMap<>();
    extractionMap.put("spot", "spot0");
    MapLookupExtractor mapLookupExtractor = new MapLookupExtractor(extractionMap, false);
    LookupExtractionFn lookupExtractionFn = new LookupExtractionFn(mapLookupExtractor, false, null, true, false);
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension(QueryRunnerTestHelper.marketDimension).metric("rows").threshold(3).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).filters(new ExtractionDimFilter(QueryRunnerTestHelper.marketDimension, "spot0", lookupExtractionFn, null)).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)))));
    assertExpectedResults(expectedResults, query);
    // Assert the optimization path as well
    final Sequence<Result<TopNResultValue>> retval = runWithPreMergeAndMerge(query);
    TestHelper.assertExpectedResults(expectedResults, retval);
}

Example 22 with MapLookupExtractor

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

the class TopNQueryRunnerTest method testTopNDimExtractionFastTopNUnOptimal.

@Test
public // Test query path that must rebucket the data
void testTopNDimExtractionFastTopNUnOptimal() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension, new LookupExtractionFn(new MapLookupExtractor(ImmutableMap.of("spot", "spot0", "total_market", "total_market0", "upfront", "upfront0"), false), true, null, false, false))).metric("rows").threshold(4).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).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, "spot0", "rows", 18L, "index", 2231.8768157958984D, "addRowsIndexConstant", 2250.8768157958984D, "uniques", QueryRunnerTestHelper.UNIQUES_9), ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "total_market0", "rows", 4L, "index", 5351.814697265625D, "addRowsIndexConstant", 5356.814697265625D, "uniques", QueryRunnerTestHelper.UNIQUES_2), ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "upfront0", "rows", 4L, "index", 4875.669677734375D, "addRowsIndexConstant", 4880.669677734375D, "uniques", QueryRunnerTestHelper.UNIQUES_2)))));
    assertExpectedResults(expectedResults, query);
}

Example 23 with MapLookupExtractor

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

the class TopNQueryRunnerTest method testTopNDimExtractionFastTopNUnOptimalWithReplaceMissing.

@Test
public void testTopNDimExtractionFastTopNUnOptimalWithReplaceMissing() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension, new LookupExtractionFn(new MapLookupExtractor(ImmutableMap.of("spot", "2spot0", "total_market", "1total_market0", "upfront", "3upfront0"), false), false, "MISSING", false, false))).metric("rows").threshold(4).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).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, "2spot0", "rows", 18L, "index", 2231.8768157958984D, "addRowsIndexConstant", 2250.8768157958984D, "uniques", QueryRunnerTestHelper.UNIQUES_9), ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "1total_market0", "rows", 4L, "index", 5351.814697265625D, "addRowsIndexConstant", 5356.814697265625D, "uniques", QueryRunnerTestHelper.UNIQUES_2), ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "3upfront0", "rows", 4L, "index", 4875.669677734375D, "addRowsIndexConstant", 4880.669677734375D, "uniques", QueryRunnerTestHelper.UNIQUES_2)))));
    assertExpectedResults(expectedResults, query);
}

Example 24 with MapLookupExtractor

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

the class TopNQueryRunnerTest method testTopNWithExtractionFilterNoExistingValue.

@Test
public void testTopNWithExtractionFilterNoExistingValue() {
    Map<String, String> extractionMap = new HashMap<>();
    extractionMap.put("", "NULL");
    MapLookupExtractor mapLookupExtractor = new MapLookupExtractor(extractionMap, false);
    LookupExtractionFn lookupExtractionFn = new LookupExtractionFn(mapLookupExtractor, false, null, true, true);
    DimFilter extractionFilter = new ExtractionDimFilter("null_column", "NULL", lookupExtractionFn, null);
    TopNQueryBuilder topNQueryBuilder = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension("null_column").metric(QueryRunnerTestHelper.indexMetric).threshold(4).intervals(QueryRunnerTestHelper.fullOnInterval).aggregators(Lists.newArrayList(Iterables.concat(QueryRunnerTestHelper.commonAggregators, Lists.newArrayList(new FilteredAggregatorFactory(new DoubleMaxAggregatorFactory("maxIndex", "index"), extractionFilter), //new DoubleMaxAggregatorFactory("maxIndex", "index"),
    new DoubleMinAggregatorFactory("minIndex", "index"))))).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant));
    TopNQuery topNQueryWithNULLValueExtraction = topNQueryBuilder.filters(extractionFilter).build();
    Map<String, Object> map = Maps.newHashMap();
    map.put("null_column", null);
    map.put("rows", 1209L);
    map.put("index", 503332.5071372986D);
    map.put("addRowsIndexConstant", 504542.5071372986D);
    map.put("uniques", QueryRunnerTestHelper.UNIQUES_9);
    map.put("maxIndex", 1870.06103515625D);
    map.put("minIndex", 59.02102279663086D);
    List<Result<TopNResultValue>> expectedResults = Arrays.asList(new Result<>(new DateTime("2011-01-12T00:00:00.000Z"), new TopNResultValue(Arrays.asList(map))));
    assertExpectedResults(expectedResults, topNQueryWithNULLValueExtraction);
    // Assert the optimization path as well
    final Sequence<Result<TopNResultValue>> retval = runWithPreMergeAndMerge(topNQueryWithNULLValueExtraction);
    TestHelper.assertExpectedResults(expectedResults, retval);
}

Example 25 with MapLookupExtractor

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

the class TopNQueryRunnerTest method testTopNLexicographicDimExtractionOptimalNamespace.

@Test
public void testTopNLexicographicDimExtractionOptimalNamespace() {
    TopNQuery query = new TopNQueryBuilder().dataSource(QueryRunnerTestHelper.dataSource).granularity(QueryRunnerTestHelper.allGran).dimension(new ExtractionDimensionSpec(QueryRunnerTestHelper.marketDimension, QueryRunnerTestHelper.marketDimension, new LookupExtractionFn(new MapLookupExtractor(ImmutableMap.of("spot", "2spot", "total_market", "3total_market", "upfront", "1upfront"), false), true, null, true, false))).metric(new DimensionTopNMetricSpec(null, StringComparators.LEXICOGRAPHIC)).threshold(4).intervals(QueryRunnerTestHelper.firstToThird).aggregators(QueryRunnerTestHelper.commonAggregators).postAggregators(Arrays.<PostAggregator>asList(QueryRunnerTestHelper.addRowsIndexConstant)).build();
    List<Result<TopNResultValue>> expectedResults = Arrays.asList(new Result<TopNResultValue>(new DateTime("2011-04-01T00:00:00.000Z"), new TopNResultValue(Arrays.<Map<String, Object>>asList(ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "1upfront", "rows", 4L, "index", 4875.669677734375D, "addRowsIndexConstant", 4880.669677734375D, "uniques", QueryRunnerTestHelper.UNIQUES_2), ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "2spot", "rows", 18L, "index", 2231.8768157958984D, "addRowsIndexConstant", 2250.8768157958984D, "uniques", QueryRunnerTestHelper.UNIQUES_9), ImmutableMap.<String, Object>of(QueryRunnerTestHelper.marketDimension, "3total_market", "rows", 4L, "index", 5351.814697265625D, "addRowsIndexConstant", 5356.814697265625D, "uniques", QueryRunnerTestHelper.UNIQUES_2)))));
    assertExpectedResults(expectedResults, query);
}