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Window Functions : Context Parameter to Enable Transfer of RACs over wire (#17150)
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@ -28,10 +28,6 @@ description: Reference for window functions
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Apache Druid supports two query languages: [Druid SQL](sql.md) and [native queries](querying.md).
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This document describes the SQL language.
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Window functions are an [experimental](../development/experimental.md) feature.
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Development and testing are still at early stage. Feel free to try window functions and provide your feedback.
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Windows functions are not currently supported by multi-stage-query engine so you cannot use them in SQL-based ingestion.
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:::
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Window functions in Apache Druid produce values based upon the relationship of one row within a window of rows to the other rows within the same window. A window is a group of related rows within a result set. For example, rows with the same value for a specific dimension.
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@ -90,6 +90,11 @@ public class PlannerContext
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*/
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public static final String CTX_SQL_OUTER_LIMIT = "sqlOuterLimit";
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/**
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* Key to enable transfer of RACs over wire.
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*/
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public static final String CTX_ENABLE_RAC_TRANSFER_OVER_WIRE = "enableRACOverWire";
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/**
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* Context key for {@link PlannerContext#isUseBoundsAndSelectors()}.
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*/
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@ -1497,13 +1497,16 @@ public class DruidQuery
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// This would cause MSQ queries to plan as
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// Window over an inner scan and avoid
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// leaf operators
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boolean pushLeafOperator = plannerContext.queryContext()
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.getBoolean(PlannerContext.CTX_ENABLE_RAC_TRANSFER_OVER_WIRE, false)
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&& !plannerContext.featureAvailable(EngineFeature.WINDOW_LEAF_OPERATOR);
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return new WindowOperatorQuery(
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dataSource,
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new LegacySegmentSpec(Intervals.ETERNITY),
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plannerContext.queryContextMap(),
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windowing.getSignature(),
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operators,
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plannerContext.featureAvailable(EngineFeature.WINDOW_LEAF_OPERATOR) ? ImmutableList.of() : null
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pushLeafOperator ? null : ImmutableList.of()
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);
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}
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@ -16133,7 +16133,6 @@ public class CalciteQueryTest extends BaseCalciteQueryTest
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.run();
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}
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@NotYetSupported(Modes.UNSUPPORTED_DATASOURCE)
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@Test
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public void testWindowingOverJoin()
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{
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@ -37,6 +37,7 @@ import org.apache.druid.segment.column.RowSignature;
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import org.apache.druid.sql.calcite.CalciteWindowQueryTest.WindowQueryTestInputClass.TestType;
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import org.apache.druid.sql.calcite.QueryTestRunner.QueryResults;
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import org.apache.druid.sql.calcite.QueryVerification.QueryResultsVerifier;
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import org.apache.druid.sql.calcite.planner.PlannerContext;
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import org.junit.Assert;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.params.ParameterizedTest;
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@ -296,10 +297,32 @@ public class CalciteWindowQueryTest extends BaseCalciteQueryTest
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);
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assertEquals(
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"Encountered a multi value column. Window processing does not support MVDs. "
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"Encountered a multi value column [v0]. Window processing does not support MVDs. "
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+ "Consider using UNNEST or MV_TO_ARRAY.",
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e.getMessage()
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);
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final DruidException e1 = Assert.assertThrows(
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DruidException.class,
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() -> testBuilder()
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.sql("select cityName, countryName, array_to_mv(array[1,length(cityName)]),\n"
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+ "row_number() over (partition by array_to_mv(array[1,length(cityName)]) order by countryName, cityName)\n"
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+ "from wikipedia\n"
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+ "where countryName in ('Austria', 'Republic of Korea') and cityName is not null\n"
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+ "order by 1, 2, 3")
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.queryContext(ImmutableMap.of(
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QueryContexts.ENABLE_DEBUG, true,
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QueryContexts.CTX_SQL_STRINGIFY_ARRAYS, false,
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PlannerContext.CTX_ENABLE_RAC_TRANSFER_OVER_WIRE, true
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))
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.run()
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);
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assertEquals(
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"Encountered a multi value column. Window processing does not support MVDs. "
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+ "Consider using UNNEST or MV_TO_ARRAY.",
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e1.getMessage()
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);
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}
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private WindowOperatorQuery getWindowOperatorQuery(List<Query<?>> queries)
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@ -89,7 +89,6 @@ public @interface NotYetSupported
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RESULT_MISMATCH(AssertionError.class, "(assertResulEquals|AssertionError: column content mismatch)"),
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LONG_CASTING(AssertionError.class, "expected: java.lang.Long"),
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UNSUPPORTED_NULL_ORDERING(DruidException.class, "(A|DE)SCENDING ordering with NULLS (LAST|FIRST)"),
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UNSUPPORTED_DATASOURCE(DruidException.class, "WindowOperatorQuery must run on top of a query or inline data source"),
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UNION_WITH_COMPLEX_OPERAND(DruidException.class, "Only Table and Values are supported as inputs for Union"),
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UNION_MORE_STRICT_ROWTYPE_CHECK(DruidException.class, "Row signature mismatch in Union inputs"),
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UNNEST_NOT_SUPPORTED_CORRELATE_CONVERSION(DruidException.class, "Missing conversion( is|s are) LogicalCorrelate"),
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