Examples with ExpressionPostAggregator org.apache.druid.query.aggregation.post.ExpressionPostAggregator used on opensource projects

Example 1 with ExpressionPostAggregator

use of org.apache.druid.query.aggregation.post.ExpressionPostAggregator in project druid by druid-io.

the class CalciteQueryTest method testQueryWithSelectProjectAndIdentityProjectDoesNotRename.

@Test
public void testQueryWithSelectProjectAndIdentityProjectDoesNotRename() throws Exception {
    cannotVectorize();
    requireMergeBuffers(3);
    testQuery(PLANNER_CONFIG_NO_HLL.withOverrides(ImmutableMap.of(PlannerConfig.CTX_KEY_USE_GROUPING_SET_FOR_EXACT_DISTINCT, "true")), "SELECT\n" + "(SUM(CASE WHEN (TIMESTAMP '2000-01-04 17:00:00'<=__time AND __time<TIMESTAMP '2022-01-05 17:00:00') THEN 1 ELSE 0 END)*1.0/COUNT(DISTINCT CASE WHEN (TIMESTAMP '2000-01-04 17:00:00'<=__time AND __time<TIMESTAMP '2022-01-05 17:00:00') THEN dim1 END))\n" + "FROM druid.foo\n" + "GROUP BY ()", CalciteTests.REGULAR_USER_AUTH_RESULT, ImmutableList.of(GroupByQuery.builder().setDataSource(new QueryDataSource(GroupByQuery.builder().setDataSource(CalciteTests.DATASOURCE1).setInterval(querySegmentSpec(Filtration.eternity())).setGranularity(Granularities.ALL).setVirtualColumns(expressionVirtualColumn("v0", "case_searched(((947005200000 <= \"__time\") && (\"__time\" < 1641402000000)),\"dim1\",null)", ColumnType.STRING)).setDimensions(dimensions(new DefaultDimensionSpec("v0", "d0", ColumnType.STRING))).setAggregatorSpecs(aggregators(new LongSumAggregatorFactory("a0", null, "case_searched(((947005200000 <= \"__time\") && (\"__time\" < 1641402000000)),1,0)", ExprMacroTable.nil()), new GroupingAggregatorFactory("a1", ImmutableList.of("v0")))).setSubtotalsSpec(ImmutableList.of(ImmutableList.of("d0"), ImmutableList.of())).setContext(QUERY_CONTEXT_DEFAULT).build())).setInterval(querySegmentSpec(Filtration.eternity())).setGranularity(Granularities.ALL).setAggregatorSpecs(aggregators(new FilteredAggregatorFactory(new LongMinAggregatorFactory("_a0", "a0"), selector("a1", "1", null)), new FilteredAggregatorFactory(new CountAggregatorFactory("_a1"), and(not(selector("d0", null, null)), selector("a1", "0", null))))).setPostAggregatorSpecs(Collections.singletonList(new ExpressionPostAggregator("p0", "((\"_a0\" * 1.0) / \"_a1\")", null, ExprMacroTable.nil()))).setContext(QUERY_CONTEXT_DEFAULT).build()), ImmutableList.of(new Object[] { 1.0d }));
}

Example 2 with ExpressionPostAggregator

use of org.apache.druid.query.aggregation.post.ExpressionPostAggregator in project druid by druid-io.

the class GroupByQueryQueryToolChestTest method testResultLevelCacheKeyWithPostAggregate.

@Test
public void testResultLevelCacheKeyWithPostAggregate() {
    final GroupByQuery query1 = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setPostAggregatorSpecs(ImmutableList.of(new ExpressionPostAggregator("post", "alias + 'x'", null, TestExprMacroTable.INSTANCE))).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    final GroupByQuery query2 = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setPostAggregatorSpecs(ImmutableList.of(new ExpressionPostAggregator("post", "alias - 'x'", null, TestExprMacroTable.INSTANCE))).setGranularity(QueryRunnerTestHelper.DAY_GRAN).build();
    final CacheStrategy<ResultRow, Object, GroupByQuery> strategy1 = new GroupByQueryQueryToolChest(null).getCacheStrategy(query1);
    final CacheStrategy<ResultRow, Object, GroupByQuery> strategy2 = new GroupByQueryQueryToolChest(null).getCacheStrategy(query2);
    Assert.assertTrue(Arrays.equals(strategy1.computeCacheKey(query1), strategy2.computeCacheKey(query2)));
    Assert.assertFalse(Arrays.equals(strategy1.computeResultLevelCacheKey(query1), strategy2.computeResultLevelCacheKey(query2)));
}

Example 3 with ExpressionPostAggregator

use of org.apache.druid.query.aggregation.post.ExpressionPostAggregator in project druid by druid-io.

the class GroupByQueryQueryToolChestTest method testResultLevelCacheKeyWithHavingDimFilterHavingSpec.

@Test
public void testResultLevelCacheKeyWithHavingDimFilterHavingSpec() {
    final DimFilterHavingSpec havingSpec1 = new DimFilterHavingSpec(new AndDimFilter(ImmutableList.of(new OrDimFilter(ImmutableList.of(new BoundDimFilter("rows", "2", null, true, false, null, null, StringComparators.NUMERIC), new SelectorDimFilter("idx", "217", null))), new SelectorDimFilter("__time", String.valueOf(DateTimes.of("2011-04-01").getMillis()), null))), null);
    final DimFilterHavingSpec havingSpec2 = new DimFilterHavingSpec(new AndDimFilter(ImmutableList.of(new OrDimFilter(ImmutableList.of(new BoundDimFilter("rows", "2", null, true, false, null, null, StringComparators.NUMERIC), new SelectorDimFilter("idx", "317", null))), new SelectorDimFilter("__time", String.valueOf(DateTimes.of("2011-04-01").getMillis()), null))), null);
    final GroupByQuery query1 = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setPostAggregatorSpecs(ImmutableList.of(new ExpressionPostAggregator("post", "alias + 'x'", null, TestExprMacroTable.INSTANCE))).setGranularity(QueryRunnerTestHelper.DAY_GRAN).setLimitSpec(new DefaultLimitSpec(ImmutableList.of(new OrderByColumnSpec("post", OrderByColumnSpec.Direction.DESCENDING)), Integer.MAX_VALUE)).setHavingSpec(havingSpec1).build();
    final GroupByQuery query2 = GroupByQuery.builder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD).setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setPostAggregatorSpecs(ImmutableList.of(new ExpressionPostAggregator("post", "alias + 'x'", null, TestExprMacroTable.INSTANCE))).setGranularity(QueryRunnerTestHelper.DAY_GRAN).setLimitSpec(new DefaultLimitSpec(ImmutableList.of(new OrderByColumnSpec("post", OrderByColumnSpec.Direction.DESCENDING)), Integer.MAX_VALUE)).setHavingSpec(havingSpec2).build();
    final CacheStrategy<ResultRow, Object, GroupByQuery> strategy1 = new GroupByQueryQueryToolChest(null).getCacheStrategy(query1);
    final CacheStrategy<ResultRow, Object, GroupByQuery> strategy2 = new GroupByQueryQueryToolChest(null).getCacheStrategy(query2);
    Assert.assertTrue(Arrays.equals(strategy1.computeCacheKey(query1), strategy2.computeCacheKey(query2)));
    Assert.assertFalse(Arrays.equals(strategy1.computeResultLevelCacheKey(query1), strategy2.computeResultLevelCacheKey(query2)));
}

Example 4 with ExpressionPostAggregator

use of org.apache.druid.query.aggregation.post.ExpressionPostAggregator in project druid by druid-io.

the class GroupByQueryRunnerTest method testMergedPostAggHavingSpec.

@Test
public void testMergedPostAggHavingSpec() {
    GroupByQuery.Builder builder = makeQueryBuilder().setDataSource(QueryRunnerTestHelper.DATA_SOURCE).setInterval("2011-04-02/2011-04-04").setDimensions(new DefaultDimensionSpec("quality", "alias")).setAggregatorSpecs(QueryRunnerTestHelper.ROWS_COUNT, new LongSumAggregatorFactory("idx", "index")).setPostAggregatorSpecs(Collections.singletonList(new ArithmeticPostAggregator("rows_times_10", "*", Arrays.asList(new FieldAccessPostAggregator("rows", "rows"), new ConstantPostAggregator("const", 10L))))).setGranularity(new PeriodGranularity(new Period("P1M"), null, null)).setHavingSpec(new OrHavingSpec(ImmutableList.of(new GreaterThanHavingSpec("rows_times_10", 20L), new EqualToHavingSpec("idx", 217L))));
    GroupByQuery query = builder.build();
    // Same query, but with expressions instead of arithmetic.
    final GroupByQuery expressionQuery = query.withPostAggregatorSpecs(Collections.singletonList(new ExpressionPostAggregator("rows_times_10", "rows * 10.0", null, TestExprMacroTable.INSTANCE)));
    List<ResultRow> expectedResults = Arrays.asList(makeRow(query, "2011-04-01", "alias", "business", "rows", 2L, "idx", 217L, "rows_times_10", 20.0), makeRow(query, "2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L, "rows_times_10", 60.0), makeRow(query, "2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L, "rows_times_10", 60.0));
    QueryRunner mergedRunner = factory.getToolchest().mergeResults(new QueryRunner<ResultRow>() {

        @Override
        public Sequence<ResultRow> run(QueryPlus<ResultRow> queryPlus, ResponseContext responseContext) {
            // simulate two daily segments
            final QueryPlus queryPlus1 = queryPlus.withQuery(queryPlus.getQuery().withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.of("2011-04-02/2011-04-03")))));
            final QueryPlus queryPlus2 = queryPlus.withQuery(queryPlus.getQuery().withQuerySegmentSpec(new MultipleIntervalSegmentSpec(Collections.singletonList(Intervals.of("2011-04-03/2011-04-04")))));
            return new MergeSequence(queryPlus.getQuery().getResultOrdering(), Sequences.simple(Arrays.asList(runner.run(queryPlus1, responseContext), runner.run(queryPlus2, responseContext))));
        }
    });
    ResponseContext context = ResponseContext.createEmpty();
    // add an extra layer of merging, simulate broker forwarding query to historical
    TestHelper.assertExpectedObjects(expectedResults, factory.getToolchest().postMergeQueryDecoration(factory.getToolchest().mergeResults(factory.getToolchest().preMergeQueryDecoration(mergedRunner))).run(QueryPlus.wrap(query)), "merged");
    TestHelper.assertExpectedObjects(expectedResults, factory.getToolchest().postMergeQueryDecoration(factory.getToolchest().mergeResults(factory.getToolchest().preMergeQueryDecoration(mergedRunner))).run(QueryPlus.wrap(expressionQuery)), "merged");
}

Example 5 with ExpressionPostAggregator

use of org.apache.druid.query.aggregation.post.ExpressionPostAggregator in project druid by druid-io.

the class Projection method handlePostAggregatorExpression.

private static void handlePostAggregatorExpression(final PlannerContext plannerContext, final RowSignature inputRowSignature, final RexNode postAggregatorRexNode, final List<String> rowOrder, final PostAggregatorVisitor postAggregatorVisitor, final DruidExpression postAggregatorExpression) {
    if (postAggregatorComplexDirectColumnIsOk(inputRowSignature, postAggregatorExpression, postAggregatorRexNode)) {
        // Direct column access on a COMPLEX column, expressions cannot operate on complex columns, only postaggs
        // Wrap the column access in a field access postagg so that other postaggs can use it
        final PostAggregator postAggregator = new FieldAccessPostAggregator(postAggregatorVisitor.getOutputNamePrefix() + postAggregatorVisitor.getAndIncrementCounter(), postAggregatorExpression.getDirectColumn());
        postAggregatorVisitor.addPostAgg(postAggregator);
        rowOrder.add(postAggregator.getName());
    } else if (postAggregatorDirectColumnIsOk(inputRowSignature, postAggregatorExpression, postAggregatorRexNode)) {
        // Direct column access, without any type cast as far as Druid's runtime is concerned.
        // (There might be a SQL-level type cast that we don't care about)
        rowOrder.add(postAggregatorExpression.getDirectColumn());
    } else {
        final PostAggregator postAggregator = new ExpressionPostAggregator(postAggregatorVisitor.getOutputNamePrefix() + postAggregatorVisitor.getAndIncrementCounter(), postAggregatorExpression.getExpression(), null, plannerContext.getExprMacroTable());
        postAggregatorVisitor.addPostAgg(postAggregator);
        rowOrder.add(postAggregator.getName());
    }
}