use of io.druid.query.aggregation.DoubleMinAggregatorFactory in project druid by druid-io.
the class TopNTypeInterfaceBenchmark method setupQueries.
private void setupQueries() {
// queries for the basic schema
Map<String, TopNQueryBuilder> basicQueries = new LinkedHashMap<>();
BenchmarkSchemaInfo basicSchema = BenchmarkSchemas.SCHEMA_MAP.get("basic");
{
// basic.A
QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Arrays.asList(basicSchema.getDataInterval()));
List<AggregatorFactory> queryAggs = new ArrayList<>();
queryAggs.add(new LongSumAggregatorFactory("sumLongSequential", "sumLongSequential"));
queryAggs.add(new LongMaxAggregatorFactory("maxLongUniform", "maxLongUniform"));
queryAggs.add(new DoubleSumAggregatorFactory("sumFloatNormal", "sumFloatNormal"));
queryAggs.add(new DoubleMinAggregatorFactory("minFloatZipf", "minFloatZipf"));
queryAggs.add(new HyperUniquesAggregatorFactory("hyperUniquesMet", "hyper"));
// Use an IdentityExtractionFn to force usage of DimExtractionTopNAlgorithm
TopNQueryBuilder queryBuilderString = new TopNQueryBuilder().dataSource("blah").granularity(Granularities.ALL).dimension(new ExtractionDimensionSpec("dimSequential", "dimSequential", IdentityExtractionFn.getInstance())).metric("sumFloatNormal").intervals(intervalSpec).aggregators(queryAggs);
// DimExtractionTopNAlgorithm is always used for numeric columns
TopNQueryBuilder queryBuilderLong = new TopNQueryBuilder().dataSource("blah").granularity(Granularities.ALL).dimension("metLongUniform").metric("sumFloatNormal").intervals(intervalSpec).aggregators(queryAggs);
TopNQueryBuilder queryBuilderFloat = new TopNQueryBuilder().dataSource("blah").granularity(Granularities.ALL).dimension("metFloatNormal").metric("sumFloatNormal").intervals(intervalSpec).aggregators(queryAggs);
basicQueries.put("string", queryBuilderString);
basicQueries.put("long", queryBuilderLong);
basicQueries.put("float", queryBuilderFloat);
}
{
// basic.numericSort
QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Arrays.asList(basicSchema.getDataInterval()));
List<AggregatorFactory> queryAggs = new ArrayList<>();
queryAggs.add(new LongSumAggregatorFactory("sumLongSequential", "sumLongSequential"));
TopNQueryBuilder queryBuilderA = new TopNQueryBuilder().dataSource("blah").granularity(Granularities.ALL).dimension("dimUniform").metric(new DimensionTopNMetricSpec(null, StringComparators.NUMERIC)).intervals(intervalSpec).aggregators(queryAggs);
basicQueries.put("numericSort", queryBuilderA);
}
{
// basic.alphanumericSort
QuerySegmentSpec intervalSpec = new MultipleIntervalSegmentSpec(Arrays.asList(basicSchema.getDataInterval()));
List<AggregatorFactory> queryAggs = new ArrayList<>();
queryAggs.add(new LongSumAggregatorFactory("sumLongSequential", "sumLongSequential"));
TopNQueryBuilder queryBuilderA = new TopNQueryBuilder().dataSource("blah").granularity(Granularities.ALL).dimension("dimUniform").metric(new DimensionTopNMetricSpec(null, StringComparators.ALPHANUMERIC)).intervals(intervalSpec).aggregators(queryAggs);
basicQueries.put("alphanumericSort", queryBuilderA);
}
SCHEMA_QUERY_MAP.put("basic", basicQueries);
}
Aggregations