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/*
* 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.solr.handler.export;
import org.apache.lucene.util.ArrayUtil;
/**
* Specialized class that reuses most of the code from {@link org.apache.lucene.util.PriorityQueue}
* but contains optimizations for the /export handler use.
*/
final class SortQueue {
protected int size = 0;
protected final int maxSize;
private final SortDoc[] heap;
private final SortDoc proto;
private SortDoc[] cache;
public SortQueue(int maxSize, SortDoc proto) {
this.proto = proto;
final int heapSize;
if (0 == maxSize) {
// We allocate 1 extra to avoid if statement in top()
heapSize = 2;
} else {
if (maxSize > ArrayUtil.MAX_ARRAY_LENGTH) {
// Don't wrap heapSize to -1, in this case, which
// causes a confusing NegativeArraySizeException.
// Note that very likely this will simply then hit
// an OOME, but at least that's more indicative to
// caller that this values is too big. We don't +1
// in this case, but it's very unlikely in practice
// one will actually insert this many objects into
// the PQ:
// Throw exception to prevent confusing OOME:
throw new IllegalArgumentException("maxSize must be <= " + ArrayUtil.MAX_ARRAY_LENGTH + "; got: " + maxSize);
} else {
// NOTE: we add +1 because all access to heap is
// 1-based not 0-based. heap[0] is unused.
heapSize = maxSize + 1;
}
}
this.heap = new SortDoc[heapSize];
this.maxSize = maxSize;
}
private static final boolean lessThan(SortDoc t1, SortDoc t2) {
return t1.lessThan(t2);
}
protected void populate() {
cache = new SortDoc[heap.length];
for (int i = 1; i < heap.length; i++) {
cache[i] = heap[i] = proto.copy();
}
size = maxSize;
}
protected void reset() {
if (cache != null) {
System.arraycopy(cache, 1, heap, 1, heap.length-1);
size = maxSize;
} else {
populate();
}
}
// ==================
/**
* Adds an Object to a PriorityQueue in log(size) time. If one tries to add
* more objects than maxSize from initialize an
*
* @return the new 'top' element in the queue.
*/
public final SortDoc add(SortDoc element) {
size++;
heap[size] = element;
upHeap();
return heap[1];
}
/** Returns the least element of the PriorityQueue in constant time. */
public final SortDoc top() {
// We don't need to check size here: if maxSize is 0,
// then heap is length 2 array with both entries null.
// If size is 0 then heap[1] is already null.
return heap[1];
}
/** Removes and returns the least element of the PriorityQueue in log(size)
time. */
public final SortDoc pop() {
if (size > 0) {
SortDoc result = heap[1]; // save first value
heap[1] = heap[size]; // move last to first
heap[size] = null; // permit GC of objects
size--;
downHeap(); // adjust heap
return result;
} else {
return null;
}
}
/**
* Should be called when the Object at top changes values. Still log(n) worst
* case, but it's at least twice as fast to
*
* <pre class="prettyprint">
* pq.top().change();
* pq.updateTop();
* </pre>
*
* instead of
*
* <pre class="prettyprint">
* o = pq.pop();
* o.change();
* pq.push(o);
* </pre>
*
* @return the new 'top' element.
*/
public final SortDoc updateTop() {
downHeap();
return heap[1];
}
/** Returns the number of elements currently stored in the PriorityQueue. */
public final int size() {
return size;
}
/** Removes all entries from the PriorityQueue. */
public final void clear() {
for (int i = 0; i <= size; i++) {
heap[i] = null;
}
size = 0;
}
private final void upHeap() {
int i = size;
SortDoc node = heap[i]; // save bottom node
int j = i >>> 1;
while (j > 0 && lessThan(node, heap[j])) {
heap[i] = heap[j]; // shift parents down
i = j;
j = j >>> 1;
}
heap[i] = node; // install saved node
}
private final void downHeap() {
int i = 1;
SortDoc node = heap[i]; // save top node
int j = i << 1; // find smaller child
int k = j + 1;
if (k <= size && lessThan(heap[k], heap[j])) {
j = k;
}
while (j <= size && lessThan(heap[j], node)) {
heap[i] = heap[j]; // shift up child
i = j;
j = i << 1;
k = j + 1;
if (k <= size && lessThan(heap[k], heap[j])) {
j = k;
}
}
heap[i] = node; // install saved node
}
}