use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithAggsOnNumericDimensions.
@Test
public void testGroupByWithAggsOnNumericDimensions() {
// Cannot vectorize due to javascript aggregators.
cannotVectorize();
GroupByQuery query = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setDimFilter(new SelectorDimFilter("quality", "technology", null)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("qlLong", "qualityLong"), new DoubleSumAggregatorFactory("qlFloat", "qualityLong"), new JavaScriptAggregatorFactory("qlJs", ImmutableList.of("qualityLong"), "function(a,b) { return a + b; }", "function() { return 0; }", "function(a,b) { return a + b }", JavaScriptConfig.getEnabledInstance()), new DoubleSumAggregatorFactory("qfFloat", "qualityFloat"), new LongSumAggregatorFactory("qfLong", "qualityFloat"), new JavaScriptAggregatorFactory("qfJs", ImmutableList.of("qualityFloat"), "function(a,b) { return a + b; }", "function() { return 0; }", "function(a,b) { return a + b }", JavaScriptConfig.getEnabledInstance())).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias", "technology", "rows", 1L, "qlLong", 1700L, "qlFloat", 1700.0, "qlJs", 1700.0, "qfFloat", 17000.0, "qfLong", 17000L, "qfJs", 17000.0), makeRow(query, "2011-04-02", "alias", "technology", "rows", 1L, "qlLong", 1700L, "qlFloat", 1700.0, "qlJs", 1700.0, "qfFloat", 17000.0, "qfLong", 17000L, "qfJs", 17000.0));
Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "numeric-dims");
}
use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByLongTimeColumn.
@Test
public void testGroupByLongTimeColumn() {
if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
expectedException.expect(UnsupportedOperationException.class);
expectedException.expectMessage("GroupBy v1 only supports dimensions with an outputType of STRING.");
}
GroupByQuery query = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("__time", "time_alias", ColumnType.LONG)).setDimFilter(new SelectorDimFilter("quality", "entertainment", null)).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "time_alias", 1301616000000L, "rows", 1L, "idx", 158L), makeRow(query, "2011-04-02", "time_alias", 1301702400000L, "rows", 1L, "idx", 166L));
Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "long");
}
use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class GroupByQueryRunnerTest method testGroupByWithOutputNameCollisions.
@Test
public void testGroupByWithOutputNameCollisions() {
expectedException.expect(IllegalArgumentException.class);
expectedException.expectMessage("[alias] already defined");
makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("alias", "index")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
}
use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class GroupByQueryRunnerTest method testSubqueryWithPostAggregatorsAndHaving.
@Test
public void testSubqueryWithPostAggregatorsAndHaving() {
final GroupByQuery subquery = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx_subagg", "index")).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("idx_subpostagg", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_subagg", "idx_subagg"), new ConstantPostAggregator("thousand", 1000))))).setHavingSpec(new HavingSpec() {
private GroupByQuery query;
@Override
public void setQuery(GroupByQuery query) {
this.query = query;
}
@Override
public byte[] getCacheKey() {
return new byte[0];
}
@Override
public boolean eval(ResultRow row) {
final String field = "idx_subpostagg";
final int p = query.getResultRowSignature().indexOf(field);
return (Rows.objectToNumber(field, row.get(p), true).floatValue() < 3800);
}
}).addOrderByColumn("alias").setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
final GroupByQuery query = makeQueryBuilder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("alias", "alias")).setAggregatorSpecs(new LongSumAggregatorFactory("rows", "rows"), new LongSumAggregatorFactory("idx", "idx_subpostagg")).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("idx_post", "+", Arrays.asList(new FieldAccessPostAggregator("the_idx_agg", "idx"), new ConstantPostAggregator("ten_thousand", 10000))))).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias", "automotive", "rows", 1L, "idx_post", 11135.0, "idx", 1135L), makeRow(query, "2011-04-01", "alias", "business", "rows", 1L, "idx_post", 11118.0, "idx", 1118L), makeRow(query, "2011-04-01", "alias", "entertainment", "rows", 1L, "idx_post", 11158.0, "idx", 1158L), makeRow(query, "2011-04-01", "alias", "health", "rows", 1L, "idx_post", 11120.0, "idx", 1120L), makeRow(query, "2011-04-01", "alias", "news", "rows", 1L, "idx_post", 11121.0, "idx", 1121L), makeRow(query, "2011-04-01", "alias", "technology", "rows", 1L, "idx_post", 11078.0, "idx", 1078L), makeRow(query, "2011-04-01", "alias", "travel", "rows", 1L, "idx_post", 11119.0, "idx", 1119L), makeRow(query, "2011-04-02", "alias", "automotive", "rows", 1L, "idx_post", 11147.0, "idx", 1147L), makeRow(query, "2011-04-02", "alias", "business", "rows", 1L, "idx_post", 11112.0, "idx", 1112L), makeRow(query, "2011-04-02", "alias", "entertainment", "rows", 1L, "idx_post", 11166.0, "idx", 1166L), makeRow(query, "2011-04-02", "alias", "health", "rows", 1L, "idx_post", 11113.0, "idx", 1113L), makeRow(query, "2011-04-02", "alias", "mezzanine", "rows", 3L, "idx_post", 13447.0, "idx", 3447L), makeRow(query, "2011-04-02", "alias", "news", "rows", 1L, "idx_post", 11114.0, "idx", 1114L), makeRow(query, "2011-04-02", "alias", "premium", "rows", 3L, "idx_post", 13505.0, "idx", 3505L), makeRow(query, "2011-04-02", "alias", "technology", "rows", 1L, "idx_post", 11097.0, "idx", 1097L), makeRow(query, "2011-04-02", "alias", "travel", "rows", 1L, "idx_post", 11126.0, "idx", 1126L));
// Subqueries are handled by the ToolChest
Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "subquery-postaggs");
}
use of org.apache.druid.query.aggregation.LongSumAggregatorFactory in project druid by druid-io.
the class GroupByQueryRunnerTest method testSubqueryWithOuterJavascriptAggregators.
@Test
public void testSubqueryWithOuterJavascriptAggregators() {
final GroupByQuery subquery = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("market", "market"), new DefaultDimensionSpec("quality", "quality")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("index", "index")).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
final GroupByQuery query = makeQueryBuilder().setDataSource(subquery).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "quality")).setAggregatorSpecs(new JavaScriptAggregatorFactory("js_agg", Arrays.asList("index", "rows"), "function(current, index, rows){return current + index + rows;}", "function(){return 0;}", "function(a,b){return a + b;}", JavaScriptConfig.getEnabledInstance())).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "quality", "automotive", "js_agg", 136D), makeRow(query, "2011-04-01", "quality", "business", "js_agg", 119D), makeRow(query, "2011-04-01", "quality", "entertainment", "js_agg", 159D), makeRow(query, "2011-04-01", "quality", "health", "js_agg", 121D), makeRow(query, "2011-04-01", "quality", "mezzanine", "js_agg", 2873D), makeRow(query, "2011-04-01", "quality", "news", "js_agg", 122D), makeRow(query, "2011-04-01", "quality", "premium", "js_agg", 2903D), makeRow(query, "2011-04-01", "quality", "technology", "js_agg", 79D), makeRow(query, "2011-04-01", "quality", "travel", "js_agg", 120D), makeRow(query, "2011-04-02", "quality", "automotive", "js_agg", 148D), makeRow(query, "2011-04-02", "quality", "business", "js_agg", 113D), makeRow(query, "2011-04-02", "quality", "entertainment", "js_agg", 167D), makeRow(query, "2011-04-02", "quality", "health", "js_agg", 114D), makeRow(query, "2011-04-02", "quality", "mezzanine", "js_agg", 2450D), makeRow(query, "2011-04-02", "quality", "news", "js_agg", 115D), makeRow(query, "2011-04-02", "quality", "premium", "js_agg", 2508D), makeRow(query, "2011-04-02", "quality", "technology", "js_agg", 98D), makeRow(query, "2011-04-02", "quality", "travel", "js_agg", 127D));
Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
TestHelper.assertExpectedObjects(expectedResults, results, "subquery-javascript");
}
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