org.apache.hadoop.hive.ql.exec.ComparisonOpMethodResolver 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.hadoop.hive.ql.exec;
import java.lang.reflect.Method;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
/**
* The class implements the method resolution for operators like (> < <= >= =
* <>). The resolution logic is as follows: 1. If one of the parameters is null,
* then it resolves to evaluate(Double, Double) 2. If both of the parameters are
* of type T, then it resolves to evaluate(T, T) 3. If 1 and 2 fails then it
* resolves to evaluate(Double, Double).
*/
public class ComparisonOpMethodResolver implements UDFMethodResolver {
/**
* The udfclass for which resolution is needed.
*/
private final Class extends UDF> udfClass;
/**
* Constuctor.
*/
public ComparisonOpMethodResolver(Class extends UDF> udfClass) {
this.udfClass = udfClass;
}
/*
* (non-Javadoc)
*
* @see
* org.apache.hadoop.hive.ql.exec.UDFMethodResolver#getEvalMethod(java.util
* .List)
*/
@Override
public Method getEvalMethod(List argTypeInfos) throws UDFArgumentException {
assert (argTypeInfos.size() == 2);
List pTypeInfos = null;
if (argTypeInfos.get(0).equals(TypeInfoFactory.voidTypeInfo)
|| argTypeInfos.get(1).equals(TypeInfoFactory.voidTypeInfo)) {
pTypeInfos = new ArrayList();
pTypeInfos.add(TypeInfoFactory.doubleTypeInfo);
pTypeInfos.add(TypeInfoFactory.doubleTypeInfo);
} else if (argTypeInfos.get(0).equals(TypeInfoFactory.booleanTypeInfo) &&
argTypeInfos.get(1).equals(TypeInfoFactory.booleanTypeInfo)) {
pTypeInfos = new ArrayList();
pTypeInfos.add(TypeInfoFactory.intTypeInfo);
pTypeInfos.add(TypeInfoFactory.intTypeInfo);
} else if (argTypeInfos.get(0) == argTypeInfos.get(1)) {
pTypeInfos = argTypeInfos;
} else {
pTypeInfos = new ArrayList();
pTypeInfos.add(TypeInfoFactory.doubleTypeInfo);
pTypeInfos.add(TypeInfoFactory.doubleTypeInfo);
}
Method udfMethod = null;
List evaluateMethods = new ArrayList();
for (Method m : Arrays.asList(udfClass.getMethods())) {
if (m.getName().equals("evaluate")) {
evaluateMethods.add(m);
List acceptedTypeInfos = TypeInfoUtils.getParameterTypeInfos(
m, pTypeInfos.size());
if (acceptedTypeInfos == null) {
// null means the method does not accept number of arguments passed.
continue;
}
boolean match = (acceptedTypeInfos.size() == pTypeInfos.size());
for (int i = 0; i < pTypeInfos.size() && match; i++) {
TypeInfo accepted = acceptedTypeInfos.get(i);
if (accepted != pTypeInfos.get(i)) {
match = false;
}
}
if (match) {
if (udfMethod != null) {
throw new AmbiguousMethodException(udfClass, argTypeInfos,
Arrays.asList(new Method[]{udfMethod, m}));
} else {
udfMethod = m;
}
}
}
}
if (udfMethod == null) {
throw new NoMatchingMethodException(udfClass, argTypeInfos, evaluateMethods);
}
return udfMethod;
}
}