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The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.
/*
* 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.cassandra.transport;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.TimeUnit;
import java.util.function.Consumer;
import com.google.common.annotations.VisibleForTesting;
import com.google.common.base.Predicate;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import io.netty.channel.Channel;
import io.netty.channel.EventLoop;
import io.netty.util.AttributeKey;
import org.apache.cassandra.concurrent.DebuggableTask.RunnableDebuggableTask;
import org.apache.cassandra.concurrent.LocalAwareExecutorPlus;
import org.apache.cassandra.config.DatabaseDescriptor;
import org.apache.cassandra.metrics.ClientMetrics;
import org.apache.cassandra.net.FrameEncoder;
import org.apache.cassandra.service.ClientWarn;
import org.apache.cassandra.service.QueryState;
import org.apache.cassandra.service.reads.thresholds.CoordinatorWarnings;
import org.apache.cassandra.transport.ClientResourceLimits.Overload;
import org.apache.cassandra.transport.Flusher.FlushItem;
import org.apache.cassandra.transport.messages.ErrorMessage;
import org.apache.cassandra.transport.messages.EventMessage;
import org.apache.cassandra.utils.JVMStabilityInspector;
import org.apache.cassandra.utils.MonotonicClock;
import org.apache.cassandra.utils.NoSpamLogger;
import static org.apache.cassandra.concurrent.SharedExecutorPool.SHARED;
public class Dispatcher
{
private static final Logger logger = LoggerFactory.getLogger(Dispatcher.class);
@VisibleForTesting
static final LocalAwareExecutorPlus requestExecutor = SHARED.newExecutor(DatabaseDescriptor.getNativeTransportMaxThreads(),
DatabaseDescriptor::setNativeTransportMaxThreads,
"transport",
"Native-Transport-Requests");
/** CASSANDRA-17812: Rate-limit new client connection setup to avoid overwhelming during bcrypt
*
* authExecutor is a separate thread pool for handling requests on connections that need to be authenticated.
* Calls to AUTHENTICATE can be expensive if the number of rounds for bcrypt is configured to a high value,
* so during a connection storm checking the password hash would starve existing connected clients for CPU and
* trigger timeouts if on the same thread pool as standard requests.
*
* Moving authentication requests to a small, separate pool prevents starvation handling all other
* requests. If the authExecutor pool backs up, it may cause authentication timeouts but the clients should
* back off and retry while the rest of the system continues to make progress.
*
* Setting less than 1 will service auth requests on the standard {@link Dispatcher#requestExecutor}
*/
@VisibleForTesting
static final LocalAwareExecutorPlus authExecutor = SHARED.newExecutor(Math.max(1, DatabaseDescriptor.getNativeTransportMaxAuthThreads()),
DatabaseDescriptor::setNativeTransportMaxAuthThreads,
"transport",
"Native-Transport-Auth-Requests");
private static final ConcurrentMap flusherLookup = new ConcurrentHashMap<>();
private final boolean useLegacyFlusher;
/**
* Takes a Channel, Request and the Response produced by processRequest and outputs a FlushItem
* appropriate for the pipeline, which is specific to the protocol version. V5 and above will
* produce FlushItem.Framed instances whereas earlier versions require FlushItem.Unframed.
* The instances of these FlushItem subclasses are specialized to release resources in the
* right way for the specific pipeline that produced them.
*/
// TODO parameterize with FlushItem subclass
interface FlushItemConverter
{
FlushItem toFlushItem(Channel channel, Message.Request request, Message.Response response);
}
public Dispatcher(boolean useLegacyFlusher)
{
this.useLegacyFlusher = useLegacyFlusher;
}
public void dispatch(Channel channel, Message.Request request, FlushItemConverter forFlusher, Overload backpressure)
{
// if native_transport_max_auth_threads is < 1, don't delegate to new pool on auth messages
boolean isAuthQuery = DatabaseDescriptor.getNativeTransportMaxAuthThreads() > 0 &&
(request.type == Message.Type.AUTH_RESPONSE || request.type == Message.Type.CREDENTIALS);
// Importantly, the authExecutor will handle the AUTHENTICATE message which may be CPU intensive.
LocalAwareExecutorPlus executor = isAuthQuery ? authExecutor : requestExecutor;
executor.submit(new RequestProcessor(channel, request, forFlusher, backpressure));
ClientMetrics.instance.markRequestDispatched();
}
public class RequestProcessor implements RunnableDebuggableTask
{
private final Channel channel;
private final Message.Request request;
private final FlushItemConverter forFlusher;
private final Overload backpressure;
private final long approxCreationTimeNanos = MonotonicClock.Global.approxTime.now();
private volatile long approxStartTimeNanos;
public RequestProcessor(Channel channel, Message.Request request, FlushItemConverter forFlusher, Overload backpressure)
{
this.channel = channel;
this.request = request;
this.forFlusher = forFlusher;
this.backpressure = backpressure;
}
@Override
public void run()
{
approxStartTimeNanos = MonotonicClock.Global.approxTime.now();
processRequest(channel, request, forFlusher, backpressure, approxStartTimeNanos);
}
@Override
public long creationTimeNanos()
{
return approxCreationTimeNanos;
}
@Override
public long startTimeNanos()
{
return approxStartTimeNanos;
}
@Override
public String description()
{
return request.toString();
}
}
/**
* Note: this method may be executed on the netty event loop, during initial protocol negotiation; the caller is
* responsible for cleaning up any global or thread-local state. (ex. tracing, client warnings, etc.).
*/
private static Message.Response processRequest(ServerConnection connection, Message.Request request, Overload backpressure, long startTimeNanos)
{
if (connection.getVersion().isGreaterOrEqualTo(ProtocolVersion.V4))
ClientWarn.instance.captureWarnings();
// even if ClientWarn is disabled, still setup CoordinatorTrackWarnings, as this will populate metrics and
// emit logs on the server; the warnings will just be ignored and not sent to the client
if (request.isTrackable())
CoordinatorWarnings.init();
if (backpressure == Overload.REQUESTS)
{
String message = String.format("Request breached global limit of %d requests/second and triggered backpressure.",
ClientResourceLimits.getNativeTransportMaxRequestsPerSecond());
NoSpamLogger.log(logger, NoSpamLogger.Level.INFO, 1, TimeUnit.MINUTES, message);
ClientWarn.instance.warn(message);
}
else if (backpressure == Overload.BYTES_IN_FLIGHT)
{
String message = String.format("Request breached limit(s) on bytes in flight (Endpoint: %d, Global: %d) and triggered backpressure.",
ClientResourceLimits.getEndpointLimit(), ClientResourceLimits.getGlobalLimit());
NoSpamLogger.log(logger, NoSpamLogger.Level.INFO, 1, TimeUnit.MINUTES, message);
ClientWarn.instance.warn(message);
}
QueryState qstate = connection.validateNewMessage(request.type, connection.getVersion());
Message.logger.trace("Received: {}, v={}", request, connection.getVersion());
connection.requests.inc();
Message.Response response = request.execute(qstate, startTimeNanos);
if (request.isTrackable())
CoordinatorWarnings.done();
response.setStreamId(request.getStreamId());
response.setWarnings(ClientWarn.instance.getWarnings());
response.attach(connection);
connection.applyStateTransition(request.type, response.type);
return response;
}
/**
* Note: this method may be executed on the netty event loop.
*/
static Message.Response processRequest(Channel channel, Message.Request request, Overload backpressure, long approxStartTimeNanos)
{
try
{
return processRequest((ServerConnection) request.connection(), request, backpressure, approxStartTimeNanos);
}
catch (Throwable t)
{
JVMStabilityInspector.inspectThrowable(t);
if (request.isTrackable())
CoordinatorWarnings.done();
Predicate handler = ExceptionHandlers.getUnexpectedExceptionHandler(channel, true);
ErrorMessage error = ErrorMessage.fromException(t, handler);
error.setStreamId(request.getStreamId());
error.setWarnings(ClientWarn.instance.getWarnings());
return error;
}
finally
{
CoordinatorWarnings.reset();
ClientWarn.instance.resetWarnings();
}
}
/**
* Note: this method is not expected to execute on the netty event loop.
*/
void processRequest(Channel channel, Message.Request request, FlushItemConverter forFlusher, Overload backpressure, long approxStartTimeNanos)
{
Message.Response response = processRequest(channel, request, backpressure, approxStartTimeNanos);
FlushItem toFlush = forFlusher.toFlushItem(channel, request, response);
Message.logger.trace("Responding: {}, v={}", response, request.connection().getVersion());
flush(toFlush);
}
private void flush(FlushItem item)
{
EventLoop loop = item.channel.eventLoop();
Flusher flusher = flusherLookup.get(loop);
if (flusher == null)
{
Flusher created = useLegacyFlusher ? Flusher.legacy(loop) : Flusher.immediate(loop);
Flusher alt = flusherLookup.putIfAbsent(loop, flusher = created);
if (alt != null)
flusher = alt;
}
flusher.enqueue(item);
flusher.start();
}
public static void shutdown()
{
requestExecutor.shutdown();
authExecutor.shutdown();
}
/**
* Dispatcher for EventMessages. In {@link Server.ConnectionTracker#send(Event)}, the strategy
* for delivering events to registered clients is dependent on protocol version and the configuration
* of the pipeline. For v5 and newer connections, the event message is encoded into an Envelope,
* wrapped in a FlushItem and then delivered via the pipeline's flusher, in a similar way to
* a Response returned from {@link #processRequest(Channel, Message.Request, FlushItemConverter, Overload, long)}.
* It's worth noting that events are not generally fired as a direct response to a client request,
* so this flush item has a null request attribute. The dispatcher itself is created when the
* pipeline is first configured during protocol negotiation and is attached to the channel for
* later retrieval.
*
* Pre-v5 connections simply write the EventMessage directly to the pipeline.
*/
static final AttributeKey> EVENT_DISPATCHER = AttributeKey.valueOf("EVTDISP");
Consumer eventDispatcher(final Channel channel,
final ProtocolVersion version,
final FrameEncoder.PayloadAllocator allocator)
{
return eventMessage -> flush(new FlushItem.Framed(channel,
eventMessage.encode(version),
null,
allocator,
f -> f.response.release()));
}
}
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