/
MemcachedClient.java
1014 lines (936 loc) · 28.5 KB
/
MemcachedClient.java
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// Copyright (c) 2006 Dustin Sallings <dustin@spy.net>
package net.spy.memcached;
import java.io.IOException;
import java.net.InetSocketAddress;
import java.net.SocketAddress;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.AtomicReference;
import net.spy.SpyThread;
import net.spy.memcached.ops.CASOperationStatus;
import net.spy.memcached.ops.CancelledOperationStatus;
import net.spy.memcached.ops.DeleteOperation;
import net.spy.memcached.ops.GetOperation;
import net.spy.memcached.ops.GetsOperation;
import net.spy.memcached.ops.Mutator;
import net.spy.memcached.ops.Operation;
import net.spy.memcached.ops.OperationCallback;
import net.spy.memcached.ops.OperationState;
import net.spy.memcached.ops.OperationStatus;
import net.spy.memcached.ops.StatsOperation;
import net.spy.memcached.ops.StoreType;
/**
* Client to a memcached server.
*
* <h2>Basic usage</h2>
*
* <pre>
* MemcachedClient c=new MemcachedClient(
* new InetSocketAddress("hostname", portNum));
*
* // Store a value (async) for one hour
* c.set("someKey", 3600, someObject);
* // Retrieve a value.
* Object myObject=c.get("someKey");
* </pre>
*
* <h2>Advanced Usage</h2>
*
* <p>
* MemcachedClient may be processing a great deal of asynchronous messages or
* possibly dealing with an unreachable memcached, which may delay processing.
* If a memcached is disabled, for example, MemcachedConnection will continue
* to attempt to reconnect and replay pending operations until it comes back
* up. To prevent this from causing your application to hang, you can use
* one of the asynchronous mechanisms to time out a request and cancel the
* operation to the server.
* </p>
*
* <pre>
* // Get a memcached client connected to several servers
* MemcachedClient c=new MemcachedClient(
* AddrUtil.getAddresses("server1:11211 server2:11211"));
*
* // Try to get a value, for up to 5 seconds, and cancel if it doesn't return
* Object myObj=null;
* Future<Object> f=c.asyncGet("someKey");
* try {
* myObj=f.get(5, TimeUnit.SECONDS);
* } catch(TimeoutException e) {
* // Since we don't need this, go ahead and cancel the operation. This
* // is not strictly necessary, but it'll save some work on the server.
* f.cancel();
* // Do other timeout related stuff
* }
* </pre>
*/
public final class MemcachedClient extends SpyThread {
/**
* Maximum supported key length.
*/
public static final int MAX_KEY_LENGTH = 250;
private volatile boolean running=true;
private volatile boolean shuttingDown=false;
private final MemcachedConnection conn;
final OperationFactory opFact;
Transcoder transcoder=null;
/**
* Get a memcache client operating on the specified memcached locations.
*
* @param ia the memcached locations
* @throws IOException if connections cannot be established
*/
public MemcachedClient(InetSocketAddress... ia) throws IOException {
this(new DefaultConnectionFactory(), Arrays.asList(ia));
}
/**
* Get a memcache client over the specified memcached locations.
*
* @param addrs the socket addrs
* @throws IOException if connections cannot be established
*/
public MemcachedClient(List<InetSocketAddress> addrs)
throws IOException {
this(new DefaultConnectionFactory(), addrs);
}
/**
* Get a memcache client over the specified memcached locations.
*
* @param bufSize read buffer size per connection (in bytes)
* @param addrs the socket addresses
* @throws IOException if connections cannot be established
*/
public MemcachedClient(ConnectionFactory cf, List<InetSocketAddress> addrs)
throws IOException {
transcoder=new SerializingTranscoder();
conn=cf.createConnection(addrs);
opFact=cf.getOperationFactory();
setName("Memcached IO over " + conn);
start();
}
/**
* Set the transcoder for managing the cache representations of objects
* going in and out of the cache.
*/
public void setTranscoder(Transcoder to) {
if(to == null) {
throw new NullPointerException("Can't use a null transcoder");
}
transcoder=to;
}
/**
* Get the current transcoder that's in use.
*/
public Transcoder getTranscoder() {
return transcoder;
}
private void validateKey(String key) {
byte[] keyBytes=KeyUtil.getKeyBytes(key);
if(keyBytes.length > MAX_KEY_LENGTH) {
throw new IllegalArgumentException("Key is too long (maxlen = "
+ MAX_KEY_LENGTH + ")");
}
// Validate the key
for(byte b : keyBytes) {
if(b == ' ' || b == '\n' || b == '\r' || b == 0) {
throw new IllegalArgumentException(
"Key contains invalid characters: ``" + key + "''");
}
}
}
private void checkState() {
if(shuttingDown) {
throw new IllegalStateException("Shutting down");
}
assert isAlive() : "IO Thread is not running.";
}
/**
* (internal use) Add a raw operation to a numbered connection.
* This method is exposed for testing.
*
* @param which server number
* @param op the operation to perform
* @return the Operation
*/
Operation addOp(final String key, final Operation op) {
validateKey(key);
checkState();
conn.addOperation(key, op);
return op;
}
CountDownLatch broadcastOp(final BroadcastOpFactory of) {
return broadcastOp(of, true);
}
private CountDownLatch broadcastOp(BroadcastOpFactory of,
boolean checkShuttingDown) {
if(checkShuttingDown && shuttingDown) {
throw new IllegalStateException("Shutting down");
}
return conn.broadcastOperation(of);
}
private Future<Boolean> asyncStore(StoreType storeType,
String key, int exp, Object value) {
CachedData co=transcoder.encode(value);
final CountDownLatch latch=new CountDownLatch(1);
final OperationFuture<Boolean> rv=new OperationFuture<Boolean>(latch);
Operation op=opFact.store(storeType, key, co.getFlags(),
exp, co.getData(), new OperationCallback() {
public void receivedStatus(OperationStatus val) {
rv.set(val.isSuccess());
}
public void complete() {
latch.countDown();
}});
rv.setOperation(op);
addOp(key, op);
return rv;
}
/**
* Asynchronous CAS operation.
*
* @param key the key
* @param casId the CAS identifier (from a gets operation)
* @param value the new value
* @return a future that will indicate the status of the CAS
*/
public Future<CASResponse> asyncCAS(String key, long casId, Object value) {
CachedData co=transcoder.encode(value);
final CountDownLatch latch=new CountDownLatch(1);
final OperationFuture<CASResponse> rv=new OperationFuture<CASResponse>(
latch);
Operation op=opFact.cas(key, casId, co.getFlags(),
co.getData(), new OperationCallback() {
public void receivedStatus(OperationStatus val) {
if(val instanceof CASOperationStatus) {
rv.set(((CASOperationStatus)val).getCASResponse());
} else if(val instanceof CancelledOperationStatus) {
// Cancelled, ignore and let it float up
} else {
throw new RuntimeException(
"Unhandled state: " + val);
}
}
public void complete() {
latch.countDown();
}});
rv.setOperation(op);
addOp(key, op);
return rv;
}
/**
* Perform a synchronous CAS operation.
*
* @param key the key
* @param casId the CAS identifier (from a gets operation)
* @param value the new value
* @return a CASResponse
*/
public CASResponse cas(String key, long casId, Object value) {
try {
return asyncCAS(key, casId, value).get();
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted waiting for value", e);
} catch (ExecutionException e) {
throw new RuntimeException("Exception waiting for value", e);
}
}
/**
* Add an object to the cache iff it does not exist already.
*
* <p>
* The <code>exp</code> value is passed along to memcached exactly as
* given, and will be processed per the memcached protocol specification:
* </p>
*
* <blockquote>
* <p>
* The actual value sent may either be
* Unix time (number of seconds since January 1, 1970, as a 32-bit
* value), or a number of seconds starting from current time. In the
* latter case, this number of seconds may not exceed 60*60*24*30 (number
* of seconds in 30 days); if the number sent by a client is larger than
* that, the server will consider it to be real Unix time value rather
* than an offset from current time.
* </p>
* </blockquote>
*
* @param key the key under which this object should be added.
* @param exp the expiration of this object
* @param o the object to store
* @return a future representing the processing of this operation
*/
public Future<Boolean> add(String key, int exp, Object o) {
return asyncStore(StoreType.add, key, exp, o);
}
/**
* Set an object in the cache regardless of any existing value.
*
* <p>
* The <code>exp</code> value is passed along to memcached exactly as
* given, and will be processed per the memcached protocol specification:
* </p>
*
* <blockquote>
* <p>
* The actual value sent may either be
* Unix time (number of seconds since January 1, 1970, as a 32-bit
* value), or a number of seconds starting from current time. In the
* latter case, this number of seconds may not exceed 60*60*24*30 (number
* of seconds in 30 days); if the number sent by a client is larger than
* that, the server will consider it to be real Unix time value rather
* than an offset from current time.
* </p>
* </blockquote>
*
* @param key the key under which this object should be added.
* @param exp the expiration of this object
* @param o the object to store
* @return a future representing the processing of this operation
*/
public Future<Boolean> set(String key, int exp, Object o) {
return asyncStore(StoreType.set, key, exp, o);
}
/**
* Replace an object with the given value iff there is already a value
* for the given key.
*
* <p>
* The <code>exp</code> value is passed along to memcached exactly as
* given, and will be processed per the memcached protocol specification:
* </p>
*
* <blockquote>
* <p>
* The actual value sent may either be
* Unix time (number of seconds since January 1, 1970, as a 32-bit
* value), or a number of seconds starting from current time. In the
* latter case, this number of seconds may not exceed 60*60*24*30 (number
* of seconds in 30 days); if the number sent by a client is larger than
* that, the server will consider it to be real Unix time value rather
* than an offset from current time.
* </p>
* </blockquote>
*
* @param key the key under which this object should be added.
* @param exp the expiration of this object
* @param o the object to store
* @return a future representing the processing of this operation
*/
public Future<Boolean> replace(String key, int exp, Object o) {
return asyncStore(StoreType.replace, key, exp, o);
}
/**
* Get the given key asynchronously.
*
* @param key the key to fetch
* @return a future that will hold the return value of the fetch
*/
public Future<Object> asyncGet(final String key) {
final CountDownLatch latch=new CountDownLatch(1);
final OperationFuture<Object> rv=new OperationFuture<Object>(latch);
Operation op=opFact.get(key,
new GetOperation.Callback() {
private Object val=null;
public void receivedStatus(OperationStatus status) {
rv.set(val);
}
public void gotData(String k, int flags, byte[] data) {
assert key.equals(k) : "Wrong key returned";
val=transcoder.decode(new CachedData(flags, data));
}
public void complete() {
latch.countDown();
}});
rv.setOperation(op);
addOp(key, op);
return rv;
}
/**
* Gets (with CAS support) the given key asynchronously.
*
* @param key the key to fetch
* @return a future that will hold the return value of the fetch
*/
public Future<CASValue> asyncGets(final String key) {
final CountDownLatch latch=new CountDownLatch(1);
final OperationFuture<CASValue> rv=
new OperationFuture<CASValue>(latch);
Operation op=opFact.gets(key,
new GetsOperation.Callback() {
private CASValue val=null;
public void receivedStatus(OperationStatus status) {
rv.set(val);
}
public void gotData(String k, int flags, long cas, byte[] data) {
assert key.equals(k) : "Wrong key returned";
assert cas > 0 : "CAS was less than zero: " + cas;
val=new CASValue(cas,
transcoder.decode(new CachedData(flags, data)));
}
public void complete() {
latch.countDown();
}});
rv.setOperation(op);
addOp(key, op);
return rv;
}
/**
* Gets (with CAS support) with a single key.
*
* @param key the key to get
* @return the result from the cache and CAS id (null if there is none)
*/
public CASValue gets(String key) {
try {
return asyncGets(key).get();
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted waiting for value", e);
} catch (ExecutionException e) {
throw new RuntimeException("Exception waiting for value", e);
}
}
/**
* Get with a single key.
*
* @param key the key to get
* @return the result from the cache (null if there is none)
*/
public Object get(String key) {
try {
return asyncGet(key).get();
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted waiting for value", e);
} catch (ExecutionException e) {
throw new RuntimeException("Exception waiting for value", e);
}
}
/**
* Asynchronously get a bunch of objects from the cache.
*
* @param keys the keys to request
* @return a Future result of that fetch
*/
public Future<Map<String, Object>> asyncGetBulk(Collection<String> keys) {
final Map<String, Object> m=new ConcurrentHashMap<String, Object>();
// Break the gets down into groups by key
final Map<MemcachedNode, Collection<String>> chunks
=new HashMap<MemcachedNode, Collection<String>>();
final NodeLocator locator=conn.getLocator();
for(String key : keys) {
validateKey(key);
final MemcachedNode primaryNode=locator.getPrimary(key);
MemcachedNode node=null;
if(primaryNode.isActive()) {
node=primaryNode;
} else {
for(Iterator<MemcachedNode> i=locator.getSequence(key);
node == null && i.hasNext();) {
MemcachedNode n=i.next();
if(n.isActive()) {
node=n;
}
}
if(node == null) {
node=primaryNode;
}
}
assert node != null : "Didn't find a node for " + key;
Collection<String> ks=chunks.get(node);
if(ks == null) {
ks=new ArrayList<String>();
chunks.put(node, ks);
}
ks.add(key);
}
final CountDownLatch latch=new CountDownLatch(chunks.size());
final Collection<Operation> ops=new ArrayList<Operation>();
GetOperation.Callback cb=new GetOperation.Callback() {
@SuppressWarnings("synthetic-access")
public void receivedStatus(OperationStatus status) {
if(!status.isSuccess()) {
getLogger().warn("Unsuccessful get: %s", status);
}
}
public void gotData(String k, int flags, byte[] data) {
Object val = transcoder.decode(new CachedData(flags, data));
// val may be null if the transcoder did not understand
// the value.
if(val != null) {
m.put(k, val);
}
}
public void complete() {
latch.countDown();
}
};
// Now that we know how many servers it breaks down into, and the latch
// is all set up, convert all of these strings collections to operations
final Map<MemcachedNode, Operation> mops=
new HashMap<MemcachedNode, Operation>();
for(Map.Entry<MemcachedNode, Collection<String>> me
: chunks.entrySet()) {
Operation op=opFact.get(me.getValue(), cb);
mops.put(me.getKey(), op);
ops.add(op);
}
assert mops.size() == chunks.size();
checkState();
conn.addOperations(mops);
return new BulkGetFuture(m, ops, latch);
}
/**
* Varargs wrapper for asynchronous bulk gets.
*
* @param keys one more more keys to get
* @return the future values of those keys
*/
public Future<Map<String, Object>> asyncGetBulk(String... keys) {
return asyncGetBulk(Arrays.asList(keys));
}
/**
* Get the values for multiple keys from the cache.
*
* @param keys the keys
* @return a map of the values (for each value that exists)
*/
public Map<String, Object> getBulk(Collection<String> keys) {
try {
return asyncGetBulk(keys).get();
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted getting bulk values", e);
} catch (ExecutionException e) {
throw new RuntimeException("Failed getting bulk values", e);
}
}
/**
* Get the values for multiple keys from the cache.
*
* @param keys the keys
* @return a map of the values (for each value that exists)
*/
public Map<String, Object> getBulk(String... keys) {
return getBulk(Arrays.asList(keys));
}
/**
* Get the versions of all of the connected memcacheds.
*/
public Map<SocketAddress, String> getVersions() {
final Map<SocketAddress, String>rv=
new ConcurrentHashMap<SocketAddress, String>();
CountDownLatch blatch = broadcastOp(new BroadcastOpFactory(){
public Operation newOp(final MemcachedNode n,
final CountDownLatch latch) {
final SocketAddress sa=n.getSocketAddress();
return opFact.version(
new OperationCallback() {
public void receivedStatus(OperationStatus s) {
rv.put(sa, s.getMessage());
}
public void complete() {
latch.countDown();
}
});
}});
try {
blatch.await();
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted waiting for versions", e);
}
return rv;
}
/**
* Get all of the stats from all of the connections.
*/
public Map<SocketAddress, Map<String, String>> getStats() {
return getStats(null);
}
private Map<SocketAddress, Map<String, String>> getStats(final String arg) {
final Map<SocketAddress, Map<String, String>> rv
=new HashMap<SocketAddress, Map<String, String>>();
CountDownLatch blatch = broadcastOp(new BroadcastOpFactory(){
public Operation newOp(final MemcachedNode n,
final CountDownLatch latch) {
final SocketAddress sa=n.getSocketAddress();
rv.put(sa, new HashMap<String, String>());
return opFact.stats(arg,
new StatsOperation.Callback() {
public void gotStat(String name, String val) {
rv.get(sa).put(name, val);
}
@SuppressWarnings("synthetic-access") // getLogger()
public void receivedStatus(OperationStatus status) {
if(!status.isSuccess()) {
getLogger().warn("Unsuccessful stat fetch: %s",
status);
}
}
public void complete() {
latch.countDown();
}});
}});
try {
blatch.await();
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted waiting for stats", e);
}
return rv;
}
private long mutate(Mutator m, String key, int by, long def, int exp) {
final AtomicLong rv=new AtomicLong();
final CountDownLatch latch=new CountDownLatch(1);
addOp(key, opFact.mutate(m, key, by, def, exp, new OperationCallback() {
public void receivedStatus(OperationStatus s) {
// XXX: Potential abstraction leak.
// The handling of incr/decr in the binary protocol is
// yet undefined.
rv.set(new Long(s.isSuccess()?s.getMessage():"-1"));
}
public void complete() {
latch.countDown();
}}));
try {
latch.await();
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted", e);
}
getLogger().debug("Mutation returned %s", rv);
return rv.get();
}
/**
* Increment the given key by the given amount.
*
* @param key the key
* @param by the amount to increment
* @return the new value (-1 if the key doesn't exist)
*/
public long incr(String key, int by) {
return mutate(Mutator.incr, key, by, 0, -1);
}
/**
* Decrement the given key by the given value.
*
* @param key the key
* @param by the value
* @return the new value (-1 if the key doesn't exist)
*/
public long decr(String key, int by) {
return mutate(Mutator.decr, key, by, 0, -1);
}
private long mutateWithDefault(Mutator t, String key,
int by, long def, int exp) {
long rv=mutate(t, key, by, def, exp);
// The ascii protocol doesn't support defaults, so I added them
// manually here.
if(rv == -1) {
Future<Boolean> f=asyncStore(StoreType.add,
key, 0, String.valueOf(def));
try {
if(f.get()) {
rv=def;
} else {
rv=mutate(t, key, by, 0, 0);
assert rv != -1 : "Failed to mutate or init value";
}
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted waiting for store", e);
} catch (ExecutionException e) {
throw new RuntimeException("Failed waiting for store", e);
}
}
return rv;
}
/**
* Increment the given counter, returning the new value.
*
* @param key the key
* @param by the amount to increment
* @param def the default value (if the counter does not exist)
* @return the new value, or -1 if we were unable to increment or add
*/
public long incr(String key, int by, int def) {
return mutateWithDefault(Mutator.incr, key, by, def, 0);
}
/**
* Decrement the given counter, returning the new value.
*
* @param key the key
* @param by the amount to decrement
* @param def the default value (if the counter does not exist)
* @return the new value, or -1 if we were unable to decrement or add
*/
public long decr(String key, int by, long def) {
return mutateWithDefault(Mutator.decr, key, by, def, 0);
}
/**
* Delete the given key from the cache.
*
* @param key the key to delete
* @param when when the deletion should take effect
*/
public Future<Boolean> delete(String key, int when) {
final CountDownLatch latch=new CountDownLatch(1);
final OperationFuture<Boolean> rv=new OperationFuture<Boolean>(latch);
DeleteOperation op=opFact.delete(key, when,
new OperationCallback() {
public void receivedStatus(OperationStatus s) {
rv.set(s.isSuccess());
}
public void complete() {
latch.countDown();
}});
rv.setOperation(op);
addOp(key, op);
return rv;
}
/**
* Shortcut to delete that will immediately delete the item from the cache.
*/
public Future<Boolean> delete(String key) {
return delete(key, 0);
}
/**
* Flush all caches from all servers with a delay of application.
*/
public Future<Boolean> flush(final int delay) {
final AtomicReference<Boolean> flushResult=
new AtomicReference<Boolean>(null);
final ConcurrentLinkedQueue<Operation> ops=
new ConcurrentLinkedQueue<Operation>();
CountDownLatch blatch = broadcastOp(new BroadcastOpFactory(){
public Operation newOp(final MemcachedNode n,
final CountDownLatch latch) {
Operation op=opFact.flush(delay, new OperationCallback(){
public void receivedStatus(OperationStatus s) {
flushResult.set(s.isSuccess());
}
public void complete() {
latch.countDown();
}});
ops.add(op);
return op;
}});
return new OperationFuture<Boolean>(blatch, flushResult) {
@Override
public boolean cancel(boolean ign) {
boolean rv=false;
for(Operation op : ops) {
op.cancel();
rv |= op.getState() == OperationState.WRITING;
}
return rv;
}
@Override
public boolean isCancelled() {
boolean rv=false;
for(Operation op : ops) {
rv |= op.isCancelled();
}
return rv;
}
@Override
public boolean isDone() {
boolean rv=true;
for(Operation op : ops) {
rv &= op.getState() == OperationState.COMPLETE;
}
return rv || isCancelled();
}
};
}
/**
* Flush all caches from all servers immediately.
*/
public Future<Boolean> flush() {
return flush(-1);
}
/**
* Infinitely loop processing IO.
*/
@Override
public void run() {
while(running) {
try {
conn.handleIO();
} catch(IOException e) {
getLogger().warn("Problem handling memcached IO", e);
}
}
getLogger().info("Shut down memcached client");
}
/**
* Shut down immediately.
*/
public void shutdown() {
shutdown(-1, TimeUnit.MILLISECONDS);
}
/**
* Shut down this client gracefully.
*/
public boolean shutdown(long timeout, TimeUnit unit) {
shuttingDown=true;
String baseName=getName();
setName(baseName + " - SHUTTING DOWN");
boolean rv=false;
try {
// Conditionally wait
if(timeout > 0) {
setName(baseName + " - SHUTTING DOWN (waiting)");
rv=waitForQueues(timeout, unit);
}
} finally {
// But always begin the shutdown sequence
try {
setName(baseName + " - SHUTTING DOWN (telling client)");
running=false;
conn.shutdown();
setName(baseName + " - SHUTTING DOWN (informed client)");
} catch (IOException e) {
getLogger().warn("exception while shutting down", e);
}
}
return rv;
}
/**
* Wait for the queues to die down.
*/
public boolean waitForQueues(long timeout, TimeUnit unit) {
CountDownLatch blatch = broadcastOp(new BroadcastOpFactory(){
public Operation newOp(final MemcachedNode n,
final CountDownLatch latch) {
return opFact.noop(
new OperationCallback() {
public void complete() {
latch.countDown();
}
public void receivedStatus(OperationStatus s) {
// Nothing special when receiving status, only
// necessary to complete the interface
}
});
}}, false);
try {
return blatch.await(timeout, unit);
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted waiting for queues", e);
}
}
static class BulkGetFuture implements Future<Map<String, Object>> {
private final Map<String, Object> rvMap;
private final Collection<Operation> ops;
private final CountDownLatch latch;
private boolean cancelled=false;
public BulkGetFuture(Map<String, Object> m,
Collection<Operation> getOps, CountDownLatch l) {
super();
rvMap = m;
ops = getOps;
latch=l;
}
public boolean cancel(boolean ign) {
boolean rv=false;
for(Operation op : ops) {
rv |= op.getState() == OperationState.WRITING;
op.cancel();
}
cancelled=true;
return rv;
}
public Map<String, Object> get()
throws InterruptedException, ExecutionException {
try {
return get(Long.MAX_VALUE, TimeUnit.MILLISECONDS);
} catch (TimeoutException e) {
throw new RuntimeException("Timed out waiting forever", e);
}
}
public Map<String, Object> get(long timeout, TimeUnit unit)
throws InterruptedException,
ExecutionException, TimeoutException {
if(!latch.await(timeout, unit)) {
throw new TimeoutException("Operation timed out.");
}
for(Operation op : ops) {
if(op.isCancelled()) {
throw new ExecutionException(
new RuntimeException("Cancelled"));
}
if(op.hasErrored()) {
throw new ExecutionException(op.getException());
}
}
return rvMap;
}
public boolean isCancelled() {
return cancelled;
}
public boolean isDone() {
return latch.getCount() == 0;
}
}
static class OperationFuture<T> implements Future<T> {
private final CountDownLatch latch;
private final AtomicReference<T> objRef;
private Operation op;
public OperationFuture(CountDownLatch l) {
this(l, new AtomicReference<T>(null));
}
public OperationFuture(CountDownLatch l, AtomicReference<T> oref) {
super();
latch=l;
objRef=oref;
}
public boolean cancel(boolean ign) {
assert op != null : "No operation";
op.cancel();
// This isn't exactly correct, but it's close enough. If we're in
// a writing state, we *probably* haven't started.
return op.getState() == OperationState.WRITING;
}
public T get() throws InterruptedException, ExecutionException {
latch.await();
assert isDone() : "Latch released, but operation wasn't done.";
if(op != null && op.hasErrored()) {
throw new ExecutionException(op.getException());
}
if(isCancelled()) {
throw new ExecutionException(new RuntimeException("Cancelled"));
}
return objRef.get();
}
public T get(long duration, TimeUnit units)
throws InterruptedException, TimeoutException {
if(!latch.await(duration, units)) {
throw new TimeoutException("Timed out waiting for operation");
}
return objRef.get();
}
void set(T o) {
objRef.set(o);
}
void setOperation(Operation to) {
op=to;
}