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MarkLogic Connector for Hadoop MapReduce
/*
* Copyright 2003-2017 MarkLogic Corporation
*
* Licensed 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 com.marklogic.mapreduce.utilities;
import java.util.concurrent.PriorityBlockingQueue;
import com.marklogic.mapreduce.DocumentURI;
/**
* Statistical Assignment Policy for fastload
*/
public class StatisticalAssignmentPolicy extends AssignmentPolicy {
private PriorityBlockingQueue pq;
private long[] frmtCount;
private int batch;
public StatisticalAssignmentPolicy(long[] stats, int batch) {
policy = AssignmentPolicy.Kind.STATISTICAL;
frmtCount = new long[stats.length];
this.batch = batch;
pq = new PriorityBlockingQueue(stats.length);
for (int i = 0; i < stats.length; i++) {
pq.add(new Stats(i, stats[i]));
frmtCount[i] = stats[i];
}
}
/**
* Most of the time, frmtCount increase by batch; instead of waiting the
* batch actually accumulated, we increment the batch in the priority. In
* this way, we merge two operations (peek and remove) into one operation
* (take). What's more, the take operation only takes O(1) time while the
* remove operation takes O(n) time, where n is # forests.
*
* The down-side is, if insertContentCollectErrors happens to collect
* errors, # of docs with errors is not excluded in the stats in the
* queue
*
* @return forest index
* @throws InterruptedException
*/
private int popAndInsert() throws InterruptedException {
//take() will wait if pq is temporarily empty
Stats min = pq.take();
if (LOG.isTraceEnabled()) {
LOG.trace("picked forest# " + min.fIdx + " with "
+ min.frmtCount + " docs");
}
min.frmtCount += batch;
pq.offer(min);
int idx = min.fIdx;
frmtCount[idx] = min.frmtCount;
return idx;
}
/**
* add count to forest with index fIdx, which may not be the forest with
* minimum frmtCount. Used by fragment count rollback.
*
* @param fIdx
* @param count
*/
public void updateStats(int fIdx, long count) {
synchronized (pq) {
frmtCount[fIdx] += count;
Stats tmp = new Stats(fIdx, frmtCount[fIdx]);
// remove the stats object with the same fIdx
pq.remove(tmp);
pq.offer(tmp);
}
if (LOG.isTraceEnabled()) {
LOG.trace("update forest " + fIdx);
}
}
/**
* get the index of the forest with smallest number of docs
*/
@Override
public int getPlacementForestIndex(DocumentURI uri) {
int idx = 0;
try {
idx = popAndInsert();
} catch (InterruptedException e) {
LOG.error("Statistical assignment gets interrupted");
}
return idx;
}
private class Stats implements Comparable {
int fIdx;
long frmtCount;
public Stats(int fIdx, long frmtCount) {
super();
this.fIdx = fIdx;
this.frmtCount = frmtCount;
}
public int compareTo(Stats o) {
if (frmtCount > o.frmtCount)
return 1;
else if (frmtCount < o.frmtCount)
return -1;
else
return 0;
}
public boolean equals(Object obj) {
if (obj == null)
return false;
if (obj == this)
return true;
if (obj.getClass() != getClass())
return false;
return fIdx == ((Stats) obj).fIdx;
}
}
}