org.apache.hadoop.io.retry.RetryPolicies Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
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*/
package org.apache.hadoop.io.retry;
import java.io.IOException;
import java.net.ConnectException;
import java.net.NoRouteToHostException;
import java.net.SocketException;
import java.net.UnknownHostException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Random;
import java.util.concurrent.TimeUnit;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.ipc.RemoteException;
import org.apache.hadoop.ipc.StandbyException;
import org.apache.hadoop.net.ConnectTimeoutException;
/**
*
* A collection of useful implementations of {@link RetryPolicy}.
*
*/
public class RetryPolicies {
public static final Log LOG = LogFactory.getLog(RetryPolicies.class);
private static ThreadLocal RANDOM = new ThreadLocal() {
@Override
protected Random initialValue() {
return new Random();
}
};
/**
*
* Try once, and fail by re-throwing the exception.
* This corresponds to having no retry mechanism in place.
*
*/
public static final RetryPolicy TRY_ONCE_THEN_FAIL = new TryOnceThenFail();
/**
*
* Keep trying forever.
*
*/
public static final RetryPolicy RETRY_FOREVER = new RetryForever();
/**
*
* Keep trying a limited number of times, waiting a fixed time between attempts,
* and then fail by re-throwing the exception.
*
*/
public static final RetryPolicy retryUpToMaximumCountWithFixedSleep(int maxRetries, long sleepTime, TimeUnit timeUnit) {
return new RetryUpToMaximumCountWithFixedSleep(maxRetries, sleepTime, timeUnit);
}
/**
*
* Keep trying for a maximum time, waiting a fixed time between attempts,
* and then fail by re-throwing the exception.
*
*/
public static final RetryPolicy retryUpToMaximumTimeWithFixedSleep(long maxTime, long sleepTime, TimeUnit timeUnit) {
return new RetryUpToMaximumTimeWithFixedSleep(maxTime, sleepTime, timeUnit);
}
/**
*
* Keep trying a limited number of times, waiting a growing amount of time between attempts,
* and then fail by re-throwing the exception.
* The time between attempts is sleepTime mutliplied by the number of tries so far.
*
*/
public static final RetryPolicy retryUpToMaximumCountWithProportionalSleep(int maxRetries, long sleepTime, TimeUnit timeUnit) {
return new RetryUpToMaximumCountWithProportionalSleep(maxRetries, sleepTime, timeUnit);
}
/**
*
* Keep trying a limited number of times, waiting a growing amount of time between attempts,
* and then fail by re-throwing the exception.
* The time between attempts is sleepTime mutliplied by a random
* number in the range of [0, 2 to the number of retries)
*
*/
public static final RetryPolicy exponentialBackoffRetry(
int maxRetries, long sleepTime, TimeUnit timeUnit) {
return new ExponentialBackoffRetry(maxRetries, sleepTime, timeUnit);
}
/**
*
* Set a default policy with some explicit handlers for specific exceptions.
*
*/
public static final RetryPolicy retryByException(RetryPolicy defaultPolicy,
Map, RetryPolicy> exceptionToPolicyMap) {
return new ExceptionDependentRetry(defaultPolicy, exceptionToPolicyMap);
}
/**
*
* A retry policy for RemoteException
* Set a default policy with some explicit handlers for specific exceptions.
*
*/
public static final RetryPolicy retryByRemoteException(
RetryPolicy defaultPolicy,
Map, RetryPolicy> exceptionToPolicyMap) {
return new RemoteExceptionDependentRetry(defaultPolicy, exceptionToPolicyMap);
}
public static final RetryPolicy failoverOnNetworkException(int maxFailovers) {
return failoverOnNetworkException(TRY_ONCE_THEN_FAIL, maxFailovers);
}
public static final RetryPolicy failoverOnNetworkException(
RetryPolicy fallbackPolicy, int maxFailovers) {
return failoverOnNetworkException(fallbackPolicy, maxFailovers, 0, 0);
}
public static final RetryPolicy failoverOnNetworkException(
RetryPolicy fallbackPolicy, int maxFailovers, long delayMillis,
long maxDelayBase) {
return new FailoverOnNetworkExceptionRetry(fallbackPolicy, maxFailovers,
delayMillis, maxDelayBase);
}
static class TryOnceThenFail implements RetryPolicy {
public RetryAction shouldRetry(Exception e, int retries, int failovers,
boolean isMethodIdempotent) throws Exception {
return RetryAction.FAIL;
}
}
static class RetryForever implements RetryPolicy {
public RetryAction shouldRetry(Exception e, int retries, int failovers,
boolean isMethodIdempotent) throws Exception {
return RetryAction.RETRY;
}
}
/**
* Retry up to maxRetries.
* The actual sleep time of the n-th retry is f(n, sleepTime),
* where f is a function provided by the subclass implementation.
*
* The object of the subclasses should be immutable;
* otherwise, the subclass must override hashCode(), equals(..) and toString().
*/
static abstract class RetryLimited implements RetryPolicy {
final int maxRetries;
final long sleepTime;
final TimeUnit timeUnit;
private String myString;
RetryLimited(int maxRetries, long sleepTime, TimeUnit timeUnit) {
if (maxRetries < 0) {
throw new IllegalArgumentException("maxRetries = " + maxRetries+" < 0");
}
if (sleepTime < 0) {
throw new IllegalArgumentException("sleepTime = " + sleepTime + " < 0");
}
this.maxRetries = maxRetries;
this.sleepTime = sleepTime;
this.timeUnit = timeUnit;
}
@Override
public RetryAction shouldRetry(Exception e, int retries, int failovers,
boolean isMethodIdempotent) throws Exception {
if (retries >= maxRetries) {
return RetryAction.FAIL;
}
return new RetryAction(RetryAction.RetryDecision.RETRY,
timeUnit.toMillis(calculateSleepTime(retries)));
}
protected abstract long calculateSleepTime(int retries);
@Override
public int hashCode() {
return toString().hashCode();
}
@Override
public boolean equals(final Object that) {
if (this == that) {
return true;
} else if (that == null || this.getClass() != that.getClass()) {
return false;
}
return this.toString().equals(that.toString());
}
@Override
public String toString() {
if (myString == null) {
myString = getClass().getSimpleName() + "(maxRetries=" + maxRetries
+ ", sleepTime=" + sleepTime + " " + timeUnit + ")";
}
return myString;
}
}
static class RetryUpToMaximumCountWithFixedSleep extends RetryLimited {
public RetryUpToMaximumCountWithFixedSleep(int maxRetries, long sleepTime, TimeUnit timeUnit) {
super(maxRetries, sleepTime, timeUnit);
}
@Override
protected long calculateSleepTime(int retries) {
return sleepTime;
}
}
static class RetryUpToMaximumTimeWithFixedSleep extends RetryUpToMaximumCountWithFixedSleep {
public RetryUpToMaximumTimeWithFixedSleep(long maxTime, long sleepTime, TimeUnit timeUnit) {
super((int) (maxTime / sleepTime), sleepTime, timeUnit);
}
}
static class RetryUpToMaximumCountWithProportionalSleep extends RetryLimited {
public RetryUpToMaximumCountWithProportionalSleep(int maxRetries, long sleepTime, TimeUnit timeUnit) {
super(maxRetries, sleepTime, timeUnit);
}
@Override
protected long calculateSleepTime(int retries) {
return sleepTime * (retries + 1);
}
}
/**
* Given pairs of number of retries and sleep time (n0, t0), (n1, t1), ...,
* the first n0 retries sleep t0 milliseconds on average,
* the following n1 retries sleep t1 milliseconds on average, and so on.
*
* For all the sleep, the actual sleep time is randomly uniform distributed
* in the close interval [0.5t, 1.5t], where t is the sleep time specified.
*
* The objects of this class are immutable.
*/
public static class MultipleLinearRandomRetry implements RetryPolicy {
/** Pairs of numRetries and sleepSeconds */
public static class Pair {
final int numRetries;
final int sleepMillis;
public Pair(final int numRetries, final int sleepMillis) {
if (numRetries < 0) {
throw new IllegalArgumentException("numRetries = " + numRetries+" < 0");
}
if (sleepMillis < 0) {
throw new IllegalArgumentException("sleepMillis = " + sleepMillis + " < 0");
}
this.numRetries = numRetries;
this.sleepMillis = sleepMillis;
}
@Override
public String toString() {
return numRetries + "x" + sleepMillis + "ms";
}
}
private final List pairs;
private String myString;
public MultipleLinearRandomRetry(List pairs) {
if (pairs == null || pairs.isEmpty()) {
throw new IllegalArgumentException("pairs must be neither null nor empty.");
}
this.pairs = Collections.unmodifiableList(pairs);
}
@Override
public RetryAction shouldRetry(Exception e, int curRetry, int failovers,
boolean isMethodIdempotent) throws Exception {
final Pair p = searchPair(curRetry);
if (p == null) {
//no more retries.
return RetryAction.FAIL;
}
//calculate sleep time and return.
final double ratio = RANDOM.get().nextDouble() + 0.5;//0.5 <= ratio <=1.5
final long sleepTime = Math.round(p.sleepMillis * ratio);
return new RetryAction(RetryAction.RetryDecision.RETRY, sleepTime);
}
/**
* Given the current number of retry, search the corresponding pair.
* @return the corresponding pair,
* or null if the current number of retry > maximum number of retry.
*/
private Pair searchPair(int curRetry) {
int i = 0;
for(; i < pairs.size() && curRetry > pairs.get(i).numRetries; i++) {
curRetry -= pairs.get(i).numRetries;
}
return i == pairs.size()? null: pairs.get(i);
}
@Override
public int hashCode() {
return toString().hashCode();
}
@Override
public boolean equals(final Object that) {
if (this == that) {
return true;
} else if (that == null || this.getClass() != that.getClass()) {
return false;
}
return this.toString().equals(that.toString());
}
@Override
public String toString() {
if (myString == null) {
myString = getClass().getSimpleName() + pairs;
}
return myString;
}
/**
* Parse the given string as a MultipleLinearRandomRetry object.
* The format of the string is "t_1, n_1, t_2, n_2, ...",
* where t_i and n_i are the i-th pair of sleep time and number of retires.
* Note that the white spaces in the string are ignored.
*
* @return the parsed object, or null if the parsing fails.
*/
public static MultipleLinearRandomRetry parseCommaSeparatedString(String s) {
final String[] elements = s.split(",");
if (elements.length == 0) {
LOG.warn("Illegal value: there is no element in \"" + s + "\".");
return null;
}
if (elements.length % 2 != 0) {
LOG.warn("Illegal value: the number of elements in \"" + s + "\" is "
+ elements.length + " but an even number of elements is expected.");
return null;
}
final List pairs
= new ArrayList();
for(int i = 0; i < elements.length; ) {
//parse the i-th sleep-time
final int sleep = parsePositiveInt(elements, i++, s);
if (sleep == -1) {
return null; //parse fails
}
//parse the i-th number-of-retries
final int retries = parsePositiveInt(elements, i++, s);
if (retries == -1) {
return null; //parse fails
}
pairs.add(new RetryPolicies.MultipleLinearRandomRetry.Pair(retries, sleep));
}
return new RetryPolicies.MultipleLinearRandomRetry(pairs);
}
/**
* Parse the i-th element as an integer.
* @return -1 if the parsing fails or the parsed value <= 0;
* otherwise, return the parsed value.
*/
private static int parsePositiveInt(final String[] elements,
final int i, final String originalString) {
final String s = elements[i].trim();
final int n;
try {
n = Integer.parseInt(s);
} catch(NumberFormatException nfe) {
LOG.warn("Failed to parse \"" + s + "\", which is the index " + i
+ " element in \"" + originalString + "\"", nfe);
return -1;
}
if (n <= 0) {
LOG.warn("The value " + n + " <= 0: it is parsed from the string \""
+ s + "\" which is the index " + i + " element in \""
+ originalString + "\"");
return -1;
}
return n;
}
}
static class ExceptionDependentRetry implements RetryPolicy {
RetryPolicy defaultPolicy;
Map, RetryPolicy> exceptionToPolicyMap;
public ExceptionDependentRetry(RetryPolicy defaultPolicy,
Map, RetryPolicy> exceptionToPolicyMap) {
this.defaultPolicy = defaultPolicy;
this.exceptionToPolicyMap = exceptionToPolicyMap;
}
public RetryAction shouldRetry(Exception e, int retries, int failovers,
boolean isMethodIdempotent) throws Exception {
RetryPolicy policy = exceptionToPolicyMap.get(e.getClass());
if (policy == null) {
policy = defaultPolicy;
}
return policy.shouldRetry(e, retries, failovers, isMethodIdempotent);
}
}
static class RemoteExceptionDependentRetry implements RetryPolicy {
RetryPolicy defaultPolicy;
Map exceptionNameToPolicyMap;
public RemoteExceptionDependentRetry(RetryPolicy defaultPolicy,
Map,
RetryPolicy> exceptionToPolicyMap) {
this.defaultPolicy = defaultPolicy;
this.exceptionNameToPolicyMap = new HashMap();
for (Entry, RetryPolicy> e :
exceptionToPolicyMap.entrySet()) {
exceptionNameToPolicyMap.put(e.getKey().getName(), e.getValue());
}
}
public RetryAction shouldRetry(Exception e, int retries, int failovers,
boolean isMethodIdempotent) throws Exception {
RetryPolicy policy = null;
if (e instanceof RemoteException) {
policy = exceptionNameToPolicyMap.get(
((RemoteException) e).getClassName());
}
if (policy == null) {
policy = defaultPolicy;
}
return policy.shouldRetry(e, retries, failovers, isMethodIdempotent);
}
}
static class ExponentialBackoffRetry extends RetryLimited {
public ExponentialBackoffRetry(
int maxRetries, long sleepTime, TimeUnit timeUnit) {
super(maxRetries, sleepTime, timeUnit);
if (maxRetries < 0) {
throw new IllegalArgumentException("maxRetries = " + maxRetries + " < 0");
} else if (maxRetries >= Long.SIZE - 1) {
//calculateSleepTime may overflow.
throw new IllegalArgumentException("maxRetries = " + maxRetries
+ " >= " + (Long.SIZE - 1));
}
}
@Override
protected long calculateSleepTime(int retries) {
return calculateExponentialTime(sleepTime, retries + 1);
}
}
/**
* Fail over and retry in the case of:
* Remote StandbyException (server is up, but is not the active server)
* Immediate socket exceptions (e.g. no route to host, econnrefused)
* Socket exceptions after initial connection when operation is idempotent
*
* The first failover is immediate, while all subsequent failovers wait an
* exponentially-increasing random amount of time.
*
* Fail immediately in the case of:
* Socket exceptions after initial connection when operation is not idempotent
*
* Fall back on underlying retry policy otherwise.
*/
static class FailoverOnNetworkExceptionRetry implements RetryPolicy {
private RetryPolicy fallbackPolicy;
private int maxFailovers;
private long delayMillis;
private long maxDelayBase;
public FailoverOnNetworkExceptionRetry(RetryPolicy fallbackPolicy,
int maxFailovers) {
this(fallbackPolicy, maxFailovers, 0, 0);
}
public FailoverOnNetworkExceptionRetry(RetryPolicy fallbackPolicy,
int maxFailovers, long delayMillis, long maxDelayBase) {
this.fallbackPolicy = fallbackPolicy;
this.maxFailovers = maxFailovers;
this.delayMillis = delayMillis;
this.maxDelayBase = maxDelayBase;
}
@Override
public RetryAction shouldRetry(Exception e, int retries,
int failovers, boolean isMethodIdempotent) throws Exception {
if (failovers >= maxFailovers) {
return new RetryAction(RetryAction.RetryDecision.FAIL, 0,
"failovers (" + failovers + ") exceeded maximum allowed ("
+ maxFailovers + ")");
}
if (e instanceof ConnectException ||
e instanceof NoRouteToHostException ||
e instanceof UnknownHostException ||
e instanceof StandbyException ||
e instanceof ConnectTimeoutException ||
isWrappedStandbyException(e)) {
return new RetryAction(
RetryAction.RetryDecision.FAILOVER_AND_RETRY,
// retry immediately if this is our first failover, sleep otherwise
failovers == 0 ? 0 :
calculateExponentialTime(delayMillis, failovers, maxDelayBase));
} else if (e instanceof SocketException ||
(e instanceof IOException && !(e instanceof RemoteException))) {
if (isMethodIdempotent) {
return RetryAction.FAILOVER_AND_RETRY;
} else {
return new RetryAction(RetryAction.RetryDecision.FAIL, 0,
"the invoked method is not idempotent, and unable to determine " +
"whether it was invoked");
}
} else {
return fallbackPolicy.shouldRetry(e, retries, failovers,
isMethodIdempotent);
}
}
}
/**
* Return a value which is time increasing exponentially as a
* function of retries, +/- 0%-50% of that value, chosen
* randomly.
*
* @param time the base amount of time to work with
* @param retries the number of retries that have so occurred so far
* @param cap value at which to cap the base sleep time
* @return an amount of time to sleep
*/
private static long calculateExponentialTime(long time, int retries,
long cap) {
long baseTime = Math.min(time * (1L << retries), cap);
return (long) (baseTime * (RANDOM.get().nextDouble() + 0.5));
}
private static long calculateExponentialTime(long time, int retries) {
return calculateExponentialTime(time, retries, Long.MAX_VALUE);
}
private static boolean isWrappedStandbyException(Exception e) {
if (!(e instanceof RemoteException)) {
return false;
}
Exception unwrapped = ((RemoteException)e).unwrapRemoteException(
StandbyException.class);
return unwrapped instanceof StandbyException;
}
}