
org.apache.flink.table.functions.FunctionDefinition Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.flink.table.functions;
import org.apache.flink.annotation.PublicEvolving;
import org.apache.flink.table.catalog.DataTypeFactory;
import org.apache.flink.table.types.inference.TypeInference;
import java.util.Collections;
import java.util.Set;
/**
* Definition of a function. Instances of this class provide all details necessary to validate a
* function call and perform planning.
*
* A pure function definition must not contain a runtime implementation. This can be provided by
* the planner at later stages.
*
* @see UserDefinedFunction
*/
@PublicEvolving
public interface FunctionDefinition {
/** Returns the kind of function this definition describes. */
FunctionKind getKind();
/**
* Returns the logic for performing type inference of a call to this function definition.
*
*
The 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 {@link TypeInference#newBuilder()}.
*
*
See {@link BuiltInFunctionDefinitions} for concrete usage examples.
*/
TypeInference getTypeInference(DataTypeFactory typeFactory);
/** Returns the set of requirements this definition demands. */
default Set getRequirements() {
return Collections.emptySet();
}
/**
* Returns information about the determinism of the function's results.
*
* It returns true
if and only if a call to this function is guaranteed to
* always return the same result given the same parameters. true
is assumed by
* default. If the function is not purely functional like random(), date(), now(), ...
*
this method must return false
.
*
*
Furthermore, return false
if the planner should always execute this function
* on the cluster side. In other words: the planner should not perform constant expression
* reduction during planning for constant calls to this function.
*/
default boolean isDeterministic() {
return true;
}
}