/** * 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.annotation.Documented; import java.lang.annotation.ElementType; import java.lang.annotation.Retention; import java.lang.annotation.RetentionPolicy; import java.lang.annotation.Target; import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFResolver2; import org.apache.hadoop.hive.ql.udf.ptf.WindowingTableFunction; @Retention(RetentionPolicy.RUNTIME) @Target(ElementType.TYPE) @Documented public @interface WindowFunctionDescription { Description description (); /** * controls whether this function can be applied to a Window. * <p> * Ranking function: Rank, Dense_Rank, Percent_Rank and Cume_Dist don't operate on Windows. * Why? a window specification implies a row specific range i.e. every row gets its own set of rows to process the UDAF on. * For ranking defining a set of rows for every row makes no sense. * <p> * All other UDAFs can be computed for a Window. */ boolean supportsWindow() default true; /** * A WindowFunc is implemented as {@link GenericUDAFResolver2}. It returns only one value. * If this is true then the function must return a List which is taken to be the column for this function in the Output table returned by the * {@link WindowingTableFunction}. Otherwise the output is assumed to be a single value, the column of the Output will contain the same value * for all the rows. */ boolean pivotResult() default false; /** * Used in translations process to validate arguments * @return true if ranking function */ boolean rankingFunction() default false; /** * Using in analytical functions to specify that UDF implies an ordering * @return true if the function implies order */ boolean impliesOrder() default false; }