| /* | |
| * Copyright (c) 2012, 2023, Oracle and/or its affiliates. All rights reserved. | |
| * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. | |
| * | |
| * This code is free software; you can redistribute it and/or modify it | |
| * under the terms of the GNU General Public License version 2 only, as | |
| * published by the Free Software Foundation. Oracle designates this | |
| * particular file as subject to the "Classpath" exception as provided | |
| * by Oracle in the LICENSE file that accompanied this code. | |
| * | |
| * This code is distributed in the hope that it will be useful, but WITHOUT | |
| * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
| * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
| * version 2 for more details (a copy is included in the LICENSE file that | |
| * accompanied this code). | |
| * | |
| * You should have received a copy of the GNU General Public License version | |
| * 2 along with this work; if not, write to the Free Software Foundation, | |
| * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. | |
| * | |
| * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA | |
| * or visit www.oracle.com if you need additional information or have any | |
| * questions. | |
| */ | |
| package java.util.stream; | |
| import java.util.HashSet; | |
| import java.util.LinkedHashSet; | |
| import java.util.Objects; | |
| import java.util.Set; | |
| import java.util.Spliterator; | |
| import java.util.concurrent.ConcurrentHashMap; | |
| import java.util.concurrent.atomic.AtomicBoolean; | |
| import java.util.function.IntFunction; | |
| /** | |
| * Factory methods for transforming streams into duplicate-free streams, using | |
| * {@link Object#equals(Object)} to determine equality. | |
| * | |
| * @since 1.8 | |
| */ | |
| final class DistinctOps { | |
| private DistinctOps() { } | |
| /** | |
| * Appends a "distinct" operation to the provided stream, and returns the | |
| * new stream. | |
| * | |
| * @param <T> the type of both input and output elements | |
| * @param upstream a reference stream with element type T | |
| * @return the new stream | |
| */ | |
| static <T> ReferencePipeline<T, T> makeRef(AbstractPipeline<?, T, ?> upstream) { | |
| return new ReferencePipeline.StatefulOp<T, T>(upstream, StreamShape.REFERENCE, | |
| StreamOpFlag.IS_DISTINCT | StreamOpFlag.NOT_SIZED) { | |
| <P_IN> Node<T> reduce(PipelineHelper<T> helper, Spliterator<P_IN> spliterator) { | |
| // If the stream is SORTED then it should also be ORDERED so the following will also | |
| // preserve the sort order | |
| TerminalOp<T, LinkedHashSet<T>> reduceOp | |
| = ReduceOps.<T, LinkedHashSet<T>>makeRef(LinkedHashSet::new, LinkedHashSet::add, | |
| LinkedHashSet::addAll); | |
| return Nodes.node(reduceOp.evaluateParallel(helper, spliterator)); | |
| } | |
| @Override | |
| <P_IN> Node<T> opEvaluateParallel(PipelineHelper<T> helper, | |
| Spliterator<P_IN> spliterator, | |
| IntFunction<T[]> generator) { | |
| if (StreamOpFlag.DISTINCT.isKnown(helper.getStreamAndOpFlags())) { | |
| // No-op | |
| return helper.evaluate(spliterator, false, generator); | |
| } | |
| else if (StreamOpFlag.ORDERED.isKnown(helper.getStreamAndOpFlags())) { | |
| return reduce(helper, spliterator); | |
| } | |
| else { | |
| // Holder of null state since ConcurrentHashMap does not support null values | |
| AtomicBoolean seenNull = new AtomicBoolean(false); | |
| ConcurrentHashMap<T, Boolean> map = new ConcurrentHashMap<>(); | |
| TerminalOp<T, Void> forEachOp = ForEachOps.makeRef(t -> { | |
| if (t == null) | |
| seenNull.set(true); | |
| else | |
| map.putIfAbsent(t, Boolean.TRUE); | |
| }, false); | |
| forEachOp.evaluateParallel(helper, spliterator); | |
| // If null has been seen then copy the key set into a HashSet that supports null values | |
| // and add null | |
| Set<T> keys = map.keySet(); | |
| if (seenNull.get()) { | |
| // TODO Implement a more efficient set-union view, rather than copying | |
| keys = new HashSet<>(keys); | |
| keys.add(null); | |
| } | |
| return Nodes.node(keys); | |
| } | |
| } | |
| @Override | |
| <P_IN> Spliterator<T> opEvaluateParallelLazy(PipelineHelper<T> helper, Spliterator<P_IN> spliterator) { | |
| if (StreamOpFlag.DISTINCT.isKnown(helper.getStreamAndOpFlags())) { | |
| // No-op | |
| return helper.wrapSpliterator(spliterator); | |
| } | |
| else if (StreamOpFlag.ORDERED.isKnown(helper.getStreamAndOpFlags())) { | |
| // Not lazy, barrier required to preserve order | |
| return reduce(helper, spliterator).spliterator(); | |
| } | |
| else { | |
| // Lazy | |
| return new StreamSpliterators.DistinctSpliterator<>(helper.wrapSpliterator(spliterator)); | |
| } | |
| } | |
| @Override | |
| Sink<T> opWrapSink(int flags, Sink<T> sink) { | |
| Objects.requireNonNull(sink); | |
| if (StreamOpFlag.DISTINCT.isKnown(flags)) { | |
| return sink; | |
| } else if (StreamOpFlag.SORTED.isKnown(flags)) { | |
| return new Sink.ChainedReference<>(sink) { | |
| boolean seenNull; | |
| T lastSeen; | |
| @Override | |
| public void begin(long size) { | |
| seenNull = false; | |
| lastSeen = null; | |
| downstream.begin(-1); | |
| } | |
| @Override | |
| public void end() { | |
| seenNull = false; | |
| lastSeen = null; | |
| downstream.end(); | |
| } | |
| @Override | |
| public void accept(T t) { | |
| if (t == null) { | |
| if (!seenNull) { | |
| seenNull = true; | |
| downstream.accept(lastSeen = null); | |
| } | |
| } else if (lastSeen == null || !t.equals(lastSeen)) { | |
| downstream.accept(lastSeen = t); | |
| } | |
| } | |
| }; | |
| } else { | |
| return new Sink.ChainedReference<>(sink) { | |
| Set<T> seen; | |
| @Override | |
| public void begin(long size) { | |
| seen = new HashSet<>(); | |
| downstream.begin(-1); | |
| } | |
| @Override | |
| public void end() { | |
| seen = null; | |
| downstream.end(); | |
| } | |
| @Override | |
| public void accept(T t) { | |
| if (seen.add(t)) { | |
| downstream.accept(t); | |
| } | |
| } | |
| }; | |
| } | |
| } | |
| }; | |
| } | |
| } |