abstract class TypeCoercionBase extends AnyRef
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- new TypeCoercionBase()
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- class CombinedTypeCoercionRule extends Rule[LogicalPlan] with TypeCoercionRule
Type coercion rule that combines multiple type coercion rules and applies them in a single tree traversal.
Abstract Value Members
- abstract def canCast(from: DataType, to: DataType): Boolean
Whether casting
fromastois valid. - abstract val findTightestCommonType: (DataType, DataType) => Option[DataType]
Find the tightest common type of two types that might be used in a binary expression.
Find the tightest common type of two types that might be used in a binary expression. This handles all numeric types except fixed-precision decimals interacting with each other or with primitive types, because in that case the precision and scale of the result depends on the operation. Those rules are implemented in DecimalPrecision.
- abstract def findWiderCommonType(types: Seq[DataType]): Option[DataType]
Looking for a widened data type of a given sequence of data types with some acceptable loss of precision.
Looking for a widened data type of a given sequence of data types with some acceptable loss of precision. E.g. there is no common type for double and decimal because double's range is larger than decimal, and yet decimal is more precise than double, but in union we would cast the decimal into double.
- abstract def findWiderTypeForTwo(t1: DataType, t2: DataType): Option[DataType]
Looking for a widened data type of two given data types with some acceptable loss of precision.
Looking for a widened data type of two given data types with some acceptable loss of precision. E.g. there is no common type for double and decimal because double's range is larger than decimal, and yet decimal is more precise than double, but in union we would cast the decimal into double.
- abstract def implicitCast(e: Expression, expectedType: AbstractDataType): Option[Expression]
Given an expected data type, try to cast the expression and return the cast expression.
Given an expected data type, try to cast the expression and return the cast expression.
If the expression already fits the input type, we simply return the expression itself. If the expression has an incompatible type that cannot be implicitly cast, return None.
- abstract def typeCoercionRules: List[Rule[LogicalPlan]]
A collection of Rule that can be used to coerce differing types that participate in operations into compatible ones.
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- def findTypeForComplex(t1: DataType, t2: DataType, findTypeFunc: (DataType, DataType) => Option[DataType]): Option[DataType]
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- def findWiderDateTimeType(d1: DatetimeType, d2: DatetimeType): DatetimeType
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- def findWiderTypeForDecimal(dt1: DataType, dt2: DataType): Option[DataType]
Finds a wider type when one or both types are decimals.
Finds a wider type when one or both types are decimals. If the wider decimal type exceeds system limitation, this rule will truncate the decimal type. If a decimal and other fractional types are compared, returns a double type.
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- def findWiderTypeWithoutStringPromotion(types: Seq[DataType]): Option[DataType]
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Check whether the given types are equal ignoring nullable, containsNull and valueContainsNull.
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- object CaseWhenCoercion extends Rule[LogicalPlan] with TypeCoercionRule
Coerces the type of different branches of a CASE WHEN statement to a common type.
- object ConcatCoercion extends Rule[LogicalPlan] with TypeCoercionRule
Coerces the types of Concat children to expected ones.
Coerces the types of Concat children to expected ones.
If
spark.sql.function.concatBinaryAsStringis false and all children types are binary, the expected types are binary. Otherwise, the expected ones are strings. - object Division extends Rule[LogicalPlan] with TypeCoercionRule
Hive only performs integral division with the DIV operator.
Hive only performs integral division with the DIV operator. The arguments to / are always converted to fractional types.
- object EltCoercion extends Rule[LogicalPlan] with TypeCoercionRule
Coerces the types of Elt children to expected ones.
Coerces the types of Elt children to expected ones.
If
spark.sql.function.eltOutputAsStringis false and all children types are binary, the expected types are binary. Otherwise, the expected ones are strings. - object FunctionArgumentConversion extends Rule[LogicalPlan] with TypeCoercionRule
This ensure that the types for various functions are as expected.
- object IfCoercion extends Rule[LogicalPlan] with TypeCoercionRule
Coerces the type of different branches of If statement to a common type.
- object ImplicitTypeCasts extends Rule[LogicalPlan] with TypeCoercionRule
Casts types according to the expected input types for Expressions.
- object InConversion extends Rule[LogicalPlan] with TypeCoercionRule
Handles type coercion for both IN expression with subquery and IN expressions without subquery.
Handles type coercion for both IN expression with subquery and IN expressions without subquery. 1. In the first case, find the common type by comparing the left hand side (LHS) expression types against corresponding right hand side (RHS) expression derived from the subquery expression's plan output. Inject appropriate casts in the LHS and RHS side of IN expression.
2. In the second case, convert the value and in list expressions to the common operator type by looking at all the argument types and finding the closest one that all the arguments can be cast to. When no common operator type is found the original expression will be returned and an Analysis Exception will be raised at the type checking phase.
- object IntegralDivision extends Rule[LogicalPlan] with TypeCoercionRule
The DIV operator always returns long-type value.
The DIV operator always returns long-type value. This rule cast the integral inputs to long type, to avoid overflow during calculation.
- object MapZipWithCoercion extends Rule[LogicalPlan] with TypeCoercionRule
Coerces key types of two different MapType arguments of the MapZipWith expression to a common type.
- object StackCoercion extends Rule[LogicalPlan] with TypeCoercionRule
Coerces NullTypes in the Stack expression to the column types of the corresponding positions.
- object StringLiteralCoercion extends Rule[LogicalPlan] with TypeCoercionRule
A special rule to support string literal as the second argument of date_add/date_sub functions, to keep backward compatibility as a temporary workaround.
A special rule to support string literal as the second argument of date_add/date_sub functions, to keep backward compatibility as a temporary workaround. TODO(SPARK-28589): implement ANSI type type coercion and handle string literals.
- object UnpivotCoercion extends Rule[LogicalPlan]
Widens the data types of the Unpivot values.
- object WidenSetOperationTypes extends Rule[LogicalPlan]
Widens the data types of the children of Union/Except/Intersect.
Widens the data types of the children of Union/Except/Intersect. 1. When ANSI mode is off: Loosely based on rules from "Hadoop: The Definitive Guide" 2nd edition, by Tom White
The implicit conversion rules can be summarized as follows:
- Any integral numeric type can be implicitly converted to a wider type.
- All the integral numeric types, FLOAT, and (perhaps surprisingly) STRING can be implicitly converted to DOUBLE.
- TINYINT, SMALLINT, and INT can all be converted to FLOAT.
- BOOLEAN types cannot be converted to any other type.
- Any integral numeric type can be implicitly converted to decimal type.
- two different decimal types will be converted into a wider decimal type for both of them.
- decimal type will be converted into double if there float or double together with it.
All types when UNION-ed with strings will be promoted to strings. Other string conversions are handled by PromoteStrings.
Widening types might result in loss of precision in the following cases:
- IntegerType to FloatType
- LongType to FloatType
- LongType to DoubleType
- DecimalType to Double
2. When ANSI mode is on: The implicit conversion is determined by the closest common data type from the precedent lists from left and right child. See the comments of Object
AnsiTypeCoercionfor details. - object WindowFrameCoercion extends Rule[LogicalPlan] with TypeCoercionRule
Cast WindowFrame boundaries to the type they operate upon.