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

Example 11 with DefaultDimensionSpec

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

the class CalciteQueryTest method testRequireTimeConditionPositive.

@Test
public void testRequireTimeConditionPositive() throws Exception {
    // simple timeseries
    testQuery(PLANNER_CONFIG_REQUIRE_TIME_CONDITION, "SELECT SUM(cnt), gran FROM (\n" + "  SELECT __time as t, floor(__time TO month) AS gran,\n" + "  cnt FROM druid.foo\n" + ") AS x\n" + "WHERE t >= '2000-01-01' and t < '2002-01-01'" + "GROUP BY gran\n" + "ORDER BY gran", CalciteTests.REGULAR_USER_AUTH_RESULT, ImmutableList.of(Druids.newTimeseriesQueryBuilder().dataSource(CalciteTests.DATASOURCE1).intervals(querySegmentSpec(Intervals.of("2000-01-01/2002-01-01"))).granularity(Granularities.MONTH).aggregators(aggregators(new LongSumAggregatorFactory("a0", "cnt"))).context(getTimeseriesContextWithFloorTime(TIMESERIES_CONTEXT_BY_GRAN, "d0")).build()), ImmutableList.of(new Object[] { 3L, timestamp("2000-01-01") }, new Object[] { 3L, timestamp("2001-01-01") }));
    // nested groupby only requires time condition for inner most query
    testQuery(PLANNER_CONFIG_REQUIRE_TIME_CONDITION, "SELECT\n" + "  SUM(cnt),\n" + "  COUNT(*)\n" + "FROM (SELECT dim2, SUM(cnt) AS cnt FROM druid.foo WHERE __time >= '2000-01-01' GROUP BY dim2)", CalciteTests.REGULAR_USER_AUTH_RESULT, ImmutableList.of(GroupByQuery.builder().setDataSource(new QueryDataSource(GroupByQuery.builder().setDataSource(CalciteTests.DATASOURCE1).setInterval(querySegmentSpec(Intervals.utc(DateTimes.of("2000-01-01").getMillis(), JodaUtils.MAX_INSTANT))).setGranularity(Granularities.ALL).setDimensions(dimensions(new DefaultDimensionSpec("dim2", "d0"))).setAggregatorSpecs(aggregators(new LongSumAggregatorFactory("a0", "cnt"))).setContext(QUERY_CONTEXT_DEFAULT).build())).setInterval(querySegmentSpec(Filtration.eternity())).setGranularity(Granularities.ALL).setAggregatorSpecs(aggregators(new LongSumAggregatorFactory("_a0", "a0"), new CountAggregatorFactory("_a1"))).setContext(QUERY_CONTEXT_DEFAULT).build()), NullHandling.replaceWithDefault() ? ImmutableList.of(new Object[] { 6L, 3L }) : ImmutableList.of(new Object[] { 6L, 4L }));
    // Cannot vectorize next test due to extraction dimension spec.
    cannotVectorize();
    // semi-join requires time condition on both left and right query
    testQuery(PLANNER_CONFIG_REQUIRE_TIME_CONDITION, "SELECT COUNT(*) FROM druid.foo\n" + "WHERE __time >= '2000-01-01' AND SUBSTRING(dim2, 1, 1) IN (\n" + "  SELECT SUBSTRING(dim1, 1, 1) FROM druid.foo\n" + "  WHERE dim1 <> '' AND __time >= '2000-01-01'\n" + ")", CalciteTests.REGULAR_USER_AUTH_RESULT, ImmutableList.of(Druids.newTimeseriesQueryBuilder().dataSource(join(new TableDataSource(CalciteTests.DATASOURCE1), new QueryDataSource(GroupByQuery.builder().setDataSource(CalciteTests.DATASOURCE1).setInterval(querySegmentSpec(Intervals.utc(DateTimes.of("2000-01-01").getMillis(), JodaUtils.MAX_INSTANT))).setDimFilter(not(selector("dim1", NullHandling.sqlCompatible() ? "" : null, null))).setGranularity(Granularities.ALL).setDimensions(new ExtractionDimensionSpec("dim1", "d0", ColumnType.STRING, new SubstringDimExtractionFn(0, 1))).setContext(QUERY_CONTEXT_DEFAULT).build()), "j0.", equalsCondition(makeExpression("substring(\"dim2\", 0, 1)"), DruidExpression.ofColumn(ColumnType.STRING, "j0.d0")), JoinType.INNER)).intervals(querySegmentSpec(Intervals.utc(DateTimes.of("2000-01-01").getMillis(), JodaUtils.MAX_INSTANT))).granularity(Granularities.ALL).aggregators(aggregators(new CountAggregatorFactory("a0"))).context(QUERY_CONTEXT_DEFAULT).build()), ImmutableList.of(new Object[] { 3L }));
}

Example 12 with DefaultDimensionSpec

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

the class CalciteQueryTest method testGroupByAggregatorDefaultValuesNonVectorized.

@Test
public void testGroupByAggregatorDefaultValuesNonVectorized() throws Exception {
    cannotVectorize();
    testQuery("SELECT\n" + " dim2,\n" + " ANY_VALUE(dim1, 1024) FILTER(WHERE dim1 = 'nonexistent'),\n" + " ANY_VALUE(l1) FILTER(WHERE dim1 = 'nonexistent'),\n" + " EARLIEST(dim1, 1024) FILTER(WHERE dim1 = 'nonexistent'),\n" + " EARLIEST(l1) FILTER(WHERE dim1 = 'nonexistent'),\n" + " LATEST(dim1, 1024) FILTER(WHERE dim1 = 'nonexistent'),\n" + " LATEST(l1) FILTER(WHERE dim1 = 'nonexistent'),\n" + " ARRAY_AGG(DISTINCT dim3) FILTER(WHERE dim1 = 'nonexistent'),\n" + " STRING_AGG(DISTINCT dim3, '|') FILTER(WHERE dim1 = 'nonexistent'),\n" + " BIT_AND(l1) FILTER(WHERE dim1 = 'nonexistent'),\n" + " BIT_OR(l1) FILTER(WHERE dim1 = 'nonexistent'),\n" + " BIT_XOR(l1) FILTER(WHERE dim1 = 'nonexistent')\n" + "FROM druid.numfoo WHERE dim2 = 'a' GROUP BY dim2", ImmutableList.of(GroupByQuery.builder().setDataSource(CalciteTests.DATASOURCE3).setInterval(querySegmentSpec(Filtration.eternity())).setDimFilter(selector("dim2", "a", null)).setGranularity(Granularities.ALL).setVirtualColumns(expressionVirtualColumn("v0", "'a'", ColumnType.STRING)).setDimensions(new DefaultDimensionSpec("v0", "_d0", ColumnType.STRING)).setAggregatorSpecs(aggregators(new FilteredAggregatorFactory(new StringAnyAggregatorFactory("a0", "dim1", 1024), selector("dim1", "nonexistent", null)), new FilteredAggregatorFactory(new LongAnyAggregatorFactory("a1", "l1"), selector("dim1", "nonexistent", null)), new FilteredAggregatorFactory(new StringFirstAggregatorFactory("a2", "dim1", null, 1024), selector("dim1", "nonexistent", null)), new FilteredAggregatorFactory(new LongFirstAggregatorFactory("a3", "l1", null), selector("dim1", "nonexistent", null)), new FilteredAggregatorFactory(new StringLastAggregatorFactory("a4", "dim1", null, 1024), selector("dim1", "nonexistent", null)), new FilteredAggregatorFactory(new LongLastAggregatorFactory("a5", "l1", null), selector("dim1", "nonexistent", null)), new FilteredAggregatorFactory(new ExpressionLambdaAggregatorFactory("a6", ImmutableSet.of("dim3"), "__acc", "ARRAY<STRING>[]", "ARRAY<STRING>[]", true, true, false, "array_set_add(\"__acc\", \"dim3\")", "array_set_add_all(\"__acc\", \"a6\")", null, null, ExpressionLambdaAggregatorFactory.DEFAULT_MAX_SIZE_BYTES, TestExprMacroTable.INSTANCE), selector("dim1", "nonexistent", null)), new FilteredAggregatorFactory(new ExpressionLambdaAggregatorFactory("a7", ImmutableSet.of("dim3"), "__acc", "[]", "[]", true, false, false, "array_set_add(\"__acc\", \"dim3\")", "array_set_add_all(\"__acc\", \"a7\")", null, "if(array_length(o) == 0, null, array_to_string(o, '|'))", ExpressionLambdaAggregatorFactory.DEFAULT_MAX_SIZE_BYTES, TestExprMacroTable.INSTANCE), and(not(selector("dim3", null, null)), selector("dim1", "nonexistent", null))), new FilteredAggregatorFactory(new ExpressionLambdaAggregatorFactory("a8", ImmutableSet.of("l1"), "__acc", "0", "0", NullHandling.sqlCompatible(), false, false, "bitwiseAnd(\"__acc\", \"l1\")", "bitwiseAnd(\"__acc\", \"a8\")", null, null, ExpressionLambdaAggregatorFactory.DEFAULT_MAX_SIZE_BYTES, TestExprMacroTable.INSTANCE), and(not(selector("l1", null, null)), selector("dim1", "nonexistent", null))), new FilteredAggregatorFactory(new ExpressionLambdaAggregatorFactory("a9", ImmutableSet.of("l1"), "__acc", "0", "0", NullHandling.sqlCompatible(), false, false, "bitwiseOr(\"__acc\", \"l1\")", "bitwiseOr(\"__acc\", \"a9\")", null, null, ExpressionLambdaAggregatorFactory.DEFAULT_MAX_SIZE_BYTES, TestExprMacroTable.INSTANCE), and(not(selector("l1", null, null)), selector("dim1", "nonexistent", null))), new FilteredAggregatorFactory(new ExpressionLambdaAggregatorFactory("a10", ImmutableSet.of("l1"), "__acc", "0", "0", NullHandling.sqlCompatible(), false, false, "bitwiseXor(\"__acc\", \"l1\")", "bitwiseXor(\"__acc\", \"a10\")", null, null, ExpressionLambdaAggregatorFactory.DEFAULT_MAX_SIZE_BYTES, TestExprMacroTable.INSTANCE), and(not(selector("l1", null, null)), selector("dim1", "nonexistent", null))))).setContext(QUERY_CONTEXT_DEFAULT).build()), ImmutableList.of(useDefault ? new Object[] { "a", "", 0L, "", 0L, "", 0L, null, "", 0L, 0L, 0L } : new Object[] { "a", null, null, null, null, null, null, null, null, null, null, null }));
}

Example 13 with DefaultDimensionSpec

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

the class CalciteQueryTest method testGroupByCube.

@Test
public void testGroupByCube() throws Exception {
    // Cannot vectorize due to virtual columns.
    cannotVectorize();
    testQuery("SELECT dim2, gran, SUM(cnt)\n" + "FROM (SELECT FLOOR(__time TO MONTH) AS gran, COALESCE(dim2, '') dim2, cnt FROM druid.foo) AS x\n" + "GROUP BY CUBE (dim2, gran)", ImmutableList.of(GroupByQuery.builder().setDataSource(CalciteTests.DATASOURCE1).setInterval(querySegmentSpec(Filtration.eternity())).setGranularity(Granularities.ALL).setVirtualColumns(expressionVirtualColumn("v0", "case_searched(notnull(\"dim2\"),\"dim2\",'')", ColumnType.STRING), expressionVirtualColumn("v1", "timestamp_floor(\"__time\",'P1M',null,'UTC')", ColumnType.LONG)).setDimensions(dimensions(new DefaultDimensionSpec("v0", "d0"), new DefaultDimensionSpec("v1", "d1", ColumnType.LONG))).setAggregatorSpecs(aggregators(new LongSumAggregatorFactory("a0", "cnt"))).setSubtotalsSpec(ImmutableList.of(ImmutableList.of("d0", "d1"), ImmutableList.of("d0"), ImmutableList.of("d1"), ImmutableList.of())).setContext(withTimestampResultContext(QUERY_CONTEXT_DEFAULT, "d1", 1, Granularities.MONTH)).build()), ImmutableList.of(new Object[] { "", timestamp("2000-01-01"), 2L }, new Object[] { "", timestamp("2001-01-01"), 1L }, new Object[] { "a", timestamp("2000-01-01"), 1L }, new Object[] { "a", timestamp("2001-01-01"), 1L }, new Object[] { "abc", timestamp("2001-01-01"), 1L }, new Object[] { "", null, 3L }, new Object[] { "a", null, 2L }, new Object[] { "abc", null, 1L }, new Object[] { NULL_STRING, timestamp("2000-01-01"), 3L }, new Object[] { NULL_STRING, timestamp("2001-01-01"), 3L }, new Object[] { NULL_STRING, null, 6L }));
}

Example 14 with DefaultDimensionSpec

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

the class CalciteQueryTest method testGroupingSets.

@Test
public void testGroupingSets() throws Exception {
    // Cannot vectorize due to virtual columns.
    cannotVectorize();
    testQuery("SELECT dim2, gran, SUM(cnt), GROUPING(dim2, gran)\n" + "FROM (SELECT FLOOR(__time TO MONTH) AS gran, COALESCE(dim2, '') dim2, cnt FROM druid.foo) AS x\n" + "GROUP BY GROUPING SETS ( (dim2, gran), (dim2), (gran), () )", ImmutableList.of(GroupByQuery.builder().setDataSource(CalciteTests.DATASOURCE1).setInterval(querySegmentSpec(Filtration.eternity())).setGranularity(Granularities.ALL).setVirtualColumns(expressionVirtualColumn("v0", "case_searched(notnull(\"dim2\"),\"dim2\",'')", ColumnType.STRING), expressionVirtualColumn("v1", "timestamp_floor(\"__time\",'P1M',null,'UTC')", ColumnType.LONG)).setDimensions(dimensions(new DefaultDimensionSpec("v0", "d0"), new DefaultDimensionSpec("v1", "d1", ColumnType.LONG))).setAggregatorSpecs(aggregators(new LongSumAggregatorFactory("a0", "cnt"), new GroupingAggregatorFactory("a1", Arrays.asList("v0", "v1")))).setSubtotalsSpec(ImmutableList.of(ImmutableList.of("d0", "d1"), ImmutableList.of("d0"), ImmutableList.of("d1"), ImmutableList.of())).setContext(withTimestampResultContext(QUERY_CONTEXT_DEFAULT, "d1", 1, Granularities.MONTH)).build()), ImmutableList.of(new Object[] { "", timestamp("2000-01-01"), 2L, 0L }, new Object[] { "", timestamp("2001-01-01"), 1L, 0L }, new Object[] { "a", timestamp("2000-01-01"), 1L, 0L }, new Object[] { "a", timestamp("2001-01-01"), 1L, 0L }, new Object[] { "abc", timestamp("2001-01-01"), 1L, 0L }, new Object[] { "", null, 3L, 1L }, new Object[] { "a", null, 2L, 1L }, new Object[] { "abc", null, 1L, 1L }, new Object[] { NULL_STRING, timestamp("2000-01-01"), 3L, 2L }, new Object[] { NULL_STRING, timestamp("2001-01-01"), 3L, 2L }, new Object[] { NULL_STRING, null, 6L, 3L }));
}

Example 15 with DefaultDimensionSpec

use of org.apache.druid.query.dimension.DefaultDimensionSpec 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 }));
}