@PublicEvolving public class AsyncScalarFunction extends UserDefinedFunction
The behavior of a AsyncScalarFunction can be defined by implementing a custom
evaluation method. An evaluation method must be declared publicly and named eval.
Evaluation methods can also be overloaded by implementing multiple methods named eval
. The first argument of the method must be a CompletableFuture of the return type. The method body must complete the
future either if there is a result or if it completes exceptionally.
By default, input and output data types are automatically extracted using reflection. If the
reflective information is not sufficient, it can be supported and enriched with DataTypeHint and FunctionHint annotations.
The following examples show how to specify an async scalar function:
// a function that accepts two INT arguments and computes a sum
class SumFunction extends AsyncScalarFunction {
public void eval(CompletableFuture future, Integer a, Integer b) {
return future.complete(a + b);
}
}
// a function that accepts either INT NOT NULL or BOOLEAN NOT NULL and computes a STRING
class StringifyFunction extends AsyncScalarFunction {
public void eval(CompletableFuture future, int i) {
return future.complete(String.valueOf(i));
}
public void eval(CompletableFuture future, boolean b) {
return future.complete(String.valueOf(b));
}
}
// a function that accepts either INT or BOOLEAN and computes a STRING using function hints | Constructor and Description |
|---|
AsyncScalarFunction() |
| Modifier and Type | Method and Description |
|---|---|
FunctionKind |
getKind()
Returns the kind of function this definition describes.
|
TypeInference |
getTypeInference(DataTypeFactory typeFactory)
Returns the logic for performing type inference of a call to this function definition.
|
close, functionIdentifier, open, toStringclone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitgetRequirements, isDeterministicpublic final FunctionKind getKind()
FunctionDefinitionpublic TypeInference getTypeInference(DataTypeFactory typeFactory)
UserDefinedFunctionThe type inference process is responsible for inferring unknown types of input arguments, validating input arguments, and producing result types. The type inference process happens independent of a function body. The output of the type inference is used to search for a corresponding runtime implementation.
Instances of type inference can be created by using TypeInference.newBuilder().
See BuiltInFunctionDefinitions for concrete usage examples.
The type inference for user-defined functions is automatically extracted using reflection.
It does this by analyzing implementation methods such as eval() or accumulate() and
the generic parameters of a function class if present. If the reflective information is not
sufficient, it can be supported and enriched with DataTypeHint and FunctionHint annotations.
Note: Overriding this method is only recommended for advanced users. If a custom type inference is specified, it is the responsibility of the implementer to make sure that the output of the type inference process matches with the implementation method:
The implementation method must comply with each DataType.getConversionClass()
returned by the type inference. For example, if DataTypes.TIMESTAMP(3).bridgedTo(java.sql.Timestamp.class) is an expected argument type, the
method must accept a call eval(java.sql.Timestamp).
Regular Java calling semantics (including type widening and autoboxing) are applied when
calling an implementation method which means that the signature can be eval(java.lang.Object).
The runtime will take care of converting the data to the data format specified by the
DataType.getConversionClass() coming from the type inference logic.
getTypeInference in interface FunctionDefinitiongetTypeInference in class UserDefinedFunctionCopyright © 2014–2024 The Apache Software Foundation. All rights reserved.