/** * 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.parse; import java.util.Iterator; import java.util.LinkedHashMap; import java.util.Map; import org.apache.hadoop.hive.conf.HiveConf; import org.apache.hadoop.hive.ql.parse.PTFInvocationSpec.PartitioningSpec; import org.apache.hadoop.hive.ql.parse.WindowingSpec.WindowExpressionSpec; import org.apache.hadoop.hive.ql.parse.WindowingSpec.WindowFunctionSpec; /* * breakup the original WindowingSpec into a set of WindowingSpecs. * Each WindowingSpec is executed in an instance of PTFOperator, * preceded by ReduceSink and Extract. * The logic to componentize is straightforward: * - distribute Window Fn. Specs from original Window Spec into a set of WindowSpecs, * based on their Partitioning. * - A Group of WindowSpecs, is a subset of the Window Fn Invocations in the QueryBlock that * have the same Partitioning(Partition + Order spec). * - Each Group is put in a new WindowingSpec and is evaluated in its own PTFOperator instance. * - the order of computation is then inferred based on the dependency between Groups. * If 2 groups have the same dependency, then the Group with the function that is * earliest in the SelectList is executed first. */ public class WindowingComponentizer { WindowingSpec originalSpec; LinkedHashMap<PartitioningSpec, WindowingSpec> groups; public WindowingComponentizer(WindowingSpec originalSpec) throws SemanticException { super(); this.originalSpec = originalSpec; groups = new LinkedHashMap<PartitioningSpec, WindowingSpec>(); groupFunctions(); } private void groupFunctions() throws SemanticException { for (WindowExpressionSpec expr : originalSpec.getWindowExpressions()) { WindowFunctionSpec wFn = (WindowFunctionSpec) expr; PartitioningSpec wFnGrp = wFn.getWindowSpec().getPartitioning(); WindowingSpec wSpec = groups.get(wFnGrp); if (wSpec == null) { wSpec = new WindowingSpec(); groups.put(wFnGrp, wSpec); } wSpec.addWindowFunction(wFn); } } public boolean hasNext() { return !groups.isEmpty(); } public WindowingSpec next(HiveConf hCfg, SemanticAnalyzer semAly, UnparseTranslator unparseT, RowResolver inputRR) throws SemanticException { SemanticException originalException = null; Iterator<Map.Entry<PartitioningSpec, WindowingSpec>> grpIt = groups.entrySet().iterator(); while (grpIt.hasNext()) { Map.Entry<PartitioningSpec, WindowingSpec> entry = grpIt.next(); WindowingSpec wSpec = entry.getValue(); try { PTFTranslator t = new PTFTranslator(); t.translate(wSpec, semAly, hCfg, inputRR, unparseT); groups.remove(entry.getKey()); return wSpec; } catch (SemanticException se) { originalException = se; } } throw new SemanticException("Failed to breakup Windowing invocations into Groups. " + "At least 1 group must only depend on input columns. " + "Also check for circular dependencies.\n" + "Underlying error: " + originalException.getMessage()); } }