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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.hadoop.crypto.key.kms;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
import io.prestosql.hadoop.$internal.com.google.common.base.Preconditions;
import io.prestosql.hadoop.$internal.com.google.common.cache.CacheBuilder;
import io.prestosql.hadoop.$internal.com.google.common.cache.CacheLoader;
import io.prestosql.hadoop.$internal.com.google.common.cache.LoadingCache;
import io.prestosql.hadoop.$internal.com.google.common.util.concurrent.ThreadFactoryBuilder;
import org.apache.hadoop.classification.InterfaceAudience;
/**
* A Utility class that maintains a Queue of entries for a given key. It tries
* to ensure that there is are always at-least numValues entries
* available for the client to consume for a particular key.
* It also uses an underlying Cache to evict queues for keys that have not been
* accessed for a configurable period of time.
* Implementing classes are required to implement the
* QueueRefiller interface that exposes a method to refill the
* queue, when empty
*/
@InterfaceAudience.Private
public class ValueQueue {
/**
* QueueRefiller interface a client must implement to use this class
*/
public interface QueueRefiller {
/**
* Method that has to be implemented by implementing classes to fill the
* Queue.
* @param keyName Key name
* @param keyQueue Queue that needs to be filled
* @param numValues number of Values to be added to the queue.
* @throws IOException
*/
public void fillQueueForKey(String keyName,
Queue keyQueue, int numValues) throws IOException;
}
private static final String REFILL_THREAD =
ValueQueue.class.getName() + "_thread";
private static final int LOCK_ARRAY_SIZE = 16;
// Using a mask assuming array size is the power of 2, of MAX_VALUE.
private static final int MASK = LOCK_ARRAY_SIZE == Integer.MAX_VALUE ?
LOCK_ARRAY_SIZE :
LOCK_ARRAY_SIZE - 1;
private final LoadingCache> keyQueues;
// Stripped rwlocks based on key name to synchronize the queue from
// the sync'ed rw-thread and the background async refill thread.
private final List lockArray =
new ArrayList<>(LOCK_ARRAY_SIZE);
private final ThreadPoolExecutor executor;
private final UniqueKeyBlockingQueue queue = new UniqueKeyBlockingQueue();
private final QueueRefiller refiller;
private final SyncGenerationPolicy policy;
private final int numValues;
private final float lowWatermark;
private volatile boolean executorThreadsStarted = false;
/**
* A Runnable which takes a string name.
*/
private abstract static class NamedRunnable implements Runnable {
final String name;
private AtomicBoolean canceled = new AtomicBoolean(false);
private NamedRunnable(String keyName) {
this.name = keyName;
}
public void cancel() {
canceled.set(true);
}
public boolean isCanceled() {
return canceled.get();
}
}
private void readLock(String keyName) {
getLock(keyName).readLock().lock();
}
private void readUnlock(String keyName) {
getLock(keyName).readLock().unlock();
}
private void writeUnlock(String keyName) {
getLock(keyName).writeLock().unlock();
}
private void writeLock(String keyName) {
getLock(keyName).writeLock().lock();
}
/**
* Get the stripped lock given a key name.
*
* @param keyName The key name.
*/
private ReadWriteLock getLock(String keyName) {
return lockArray.get(indexFor(keyName));
}
private static int indexFor(String keyName) {
return keyName.hashCode() & MASK;
}
/**
* This backing blocking queue used in conjunction with the
* ThreadPoolExecutor used by the ValueQueue. This
* Queue accepts a task only if the task is not currently in the process
* of being run by a thread which is implied by the presence of the key
* in the keysInProgress set.
*
* NOTE: Only methods that ware explicitly called by the
* ThreadPoolExecutor need to be over-ridden.
*/
private static class UniqueKeyBlockingQueue extends
LinkedBlockingQueue {
private static final long serialVersionUID = -2152747693695890371L;
private HashMap keysInProgress = new HashMap<>();
@Override
public synchronized void put(Runnable e) throws InterruptedException {
if (!keysInProgress.containsKey(((NamedRunnable)e).name)) {
keysInProgress.put(((NamedRunnable)e).name, e);
super.put(e);
}
}
@Override
public Runnable take() throws InterruptedException {
Runnable k = super.take();
if (k != null) {
keysInProgress.remove(((NamedRunnable)k).name);
}
return k;
}
@Override
public Runnable poll(long timeout, TimeUnit unit)
throws InterruptedException {
Runnable k = super.poll(timeout, unit);
if (k != null) {
keysInProgress.remove(((NamedRunnable)k).name);
}
return k;
}
public Runnable deleteByName(String name) {
NamedRunnable e = (NamedRunnable) keysInProgress.remove(name);
if (e != null) {
e.cancel();
super.remove(e);
}
return e;
}
}
/**
* Policy to decide how many values to return to client when client asks for
* "n" values and Queue is empty.
* This decides how many values to return when client calls "getAtMost"
*/
public enum SyncGenerationPolicy {
ATLEAST_ONE, // Return atleast 1 value
LOW_WATERMARK, // Return min(n, lowWatermark * numValues) values
ALL // Return n values
}
/**
* Constructor takes the following tunable configuration parameters
* @param numValues The number of values cached in the Queue for a
* particular key.
* @param lowWatermark The ratio of (number of current entries/numValues)
* below which the fillQueueForKey() funciton will be
* invoked to fill the Queue.
* @param expiry Expiry time after which the Key and associated Queue are
* evicted from the cache.
* @param numFillerThreads Number of threads to use for the filler thread
* @param policy The SyncGenerationPolicy to use when client
* calls "getAtMost"
* @param refiller implementation of the QueueRefiller
*/
public ValueQueue(final int numValues, final float lowWatermark,
long expiry, int numFillerThreads, SyncGenerationPolicy policy,
final QueueRefiller refiller) {
Preconditions.checkArgument(numValues > 0, "\"numValues\" must be > 0");
Preconditions.checkArgument(((lowWatermark > 0)&&(lowWatermark <= 1)),
"\"lowWatermark\" must be > 0 and <= 1");
final int watermarkValue = (int) (numValues * lowWatermark);
Preconditions.checkArgument(watermarkValue > 0,
"(int) (\"numValues\" * \"lowWatermark\") must be > 0");
Preconditions.checkArgument(expiry > 0, "\"expiry\" must be > 0");
Preconditions.checkArgument(numFillerThreads > 0,
"\"numFillerThreads\" must be > 0");
Preconditions.checkNotNull(policy, "\"policy\" must not be null");
this.refiller = refiller;
this.policy = policy;
this.numValues = numValues;
this.lowWatermark = lowWatermark;
for (int i = 0; i < LOCK_ARRAY_SIZE; ++i) {
lockArray.add(i, new ReentrantReadWriteLock());
}
keyQueues = CacheBuilder.newBuilder()
.expireAfterAccess(expiry, TimeUnit.MILLISECONDS)
.build(new CacheLoader>() {
@Override
public LinkedBlockingQueue load(String keyName)
throws Exception {
LinkedBlockingQueue keyQueue =
new LinkedBlockingQueue();
refiller.fillQueueForKey(keyName, keyQueue, watermarkValue);
return keyQueue;
}
});
executor =
new ThreadPoolExecutor(numFillerThreads, numFillerThreads, 0L,
TimeUnit.MILLISECONDS, queue, new ThreadFactoryBuilder()
.setDaemon(true)
.setNameFormat(REFILL_THREAD).build());
}
public ValueQueue(final int numValues, final float lowWaterMark, long expiry,
int numFillerThreads, QueueRefiller fetcher) {
this(numValues, lowWaterMark, expiry, numFillerThreads,
SyncGenerationPolicy.ALL, fetcher);
}
/**
* Initializes the Value Queues for the provided keys by calling the
* fill Method with "numInitValues" values
* @param keyNames Array of key Names
* @throws ExecutionException
*/
public void initializeQueuesForKeys(String... keyNames)
throws ExecutionException {
for (String keyName : keyNames) {
keyQueues.get(keyName);
}
}
/**
* This removes the value currently at the head of the Queue for the
* provided key. Will immediately fire the Queue filler function if key
* does not exist.
* If Queue exists but all values are drained, It will ask the generator
* function to add 1 value to Queue and then drain it.
* @param keyName String key name
* @return E the next value in the Queue
* @throws IOException
* @throws ExecutionException
*/
public E getNext(String keyName)
throws IOException, ExecutionException {
return getAtMost(keyName, 1).get(0);
}
/**
* Drains the Queue for the provided key.
*
* @param keyName the key to drain the Queue for
*/
public void drain(String keyName) {
try {
Runnable e;
while ((e = queue.deleteByName(keyName)) != null) {
executor.remove(e);
}
writeLock(keyName);
try {
keyQueues.get(keyName).clear();
} finally {
writeUnlock(keyName);
}
} catch (ExecutionException ex) {
//NOP
}
}
/**
* Get size of the Queue for keyName. This is only used in unit tests.
* @param keyName the key name
* @return int queue size
*/
public int getSize(String keyName) {
readLock(keyName);
try {
// We can't do keyQueues.get(keyName).size() here,
// since that will have the side effect of populating the cache.
Map> map =
keyQueues.getAllPresent(Arrays.asList(keyName));
if (map.get(keyName) == null) {
return 0;
}
return map.get(keyName).size();
} finally {
readUnlock(keyName);
}
}
/**
* This removes the "num" values currently at the head of the Queue for the
* provided key. Will immediately fire the Queue filler function if key
* does not exist
* How many values are actually returned is governed by the
* SyncGenerationPolicy specified by the user.
* @param keyName String key name
* @param num Minimum number of values to return.
* @return List values returned
* @throws IOException
* @throws ExecutionException
*/
public List getAtMost(String keyName, int num) throws IOException,
ExecutionException {
LinkedBlockingQueue keyQueue = keyQueues.get(keyName);
// Using poll to avoid race condition..
LinkedList ekvs = new LinkedList();
try {
for (int i = 0; i < num; i++) {
readLock(keyName);
E val = keyQueue.poll();
readUnlock(keyName);
// If queue is empty now, Based on the provided SyncGenerationPolicy,
// figure out how many new values need to be generated synchronously
if (val == null) {
// Synchronous call to get remaining values
int numToFill = 0;
switch (policy) {
case ATLEAST_ONE:
numToFill = (ekvs.size() < 1) ? 1 : 0;
break;
case LOW_WATERMARK:
numToFill =
Math.min(num, (int) (lowWatermark * numValues)) - ekvs.size();
break;
case ALL:
numToFill = num - ekvs.size();
break;
}
// Synchronous fill if not enough values found
if (numToFill > 0) {
refiller.fillQueueForKey(keyName, ekvs, numToFill);
}
// Asynch task to fill > lowWatermark
if (i <= (int) (lowWatermark * numValues)) {
submitRefillTask(keyName, keyQueue);
}
return ekvs;
}
ekvs.add(val);
}
} catch (Exception e) {
throw new IOException("Exception while contacting value generator ", e);
}
return ekvs;
}
private void submitRefillTask(final String keyName,
final Queue keyQueue) throws InterruptedException {
if (!executorThreadsStarted) {
synchronized (this) {
if (!executorThreadsStarted) {
// To ensure all requests are first queued, make coreThreads =
// maxThreads
// and pre-start all the Core Threads.
executor.prestartAllCoreThreads();
executorThreadsStarted = true;
}
}
}
// The submit/execute method of the ThreadPoolExecutor is bypassed and
// the Runnable is directly put in the backing BlockingQueue so that we
// can control exactly how the runnable is inserted into the queue.
queue.put(
new NamedRunnable(keyName) {
@Override
public void run() {
int cacheSize = numValues;
int threshold = (int) (lowWatermark * (float) cacheSize);
// Need to ensure that only one refill task per key is executed
try {
writeLock(keyName);
try {
if (keyQueue.size() < threshold && !isCanceled()) {
refiller.fillQueueForKey(name, keyQueue,
cacheSize - keyQueue.size());
}
if (isCanceled()) {
keyQueue.clear();
}
} finally {
writeUnlock(keyName);
}
} catch (final Exception e) {
throw new RuntimeException(e);
}
}
}
);
}
/**
* Cleanly shutdown
*/
public void shutdown() {
executor.shutdownNow();
}
}