org.graylog2.buffers.processors.OutputBufferProcessor Maven / Gradle / Ivy
/*
* Copyright (C) 2020 Graylog, Inc.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the Server Side Public License, version 1,
* as published by MongoDB, Inc.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* Server Side Public License for more details.
*
* You should have received a copy of the Server Side Public License
* along with this program. If not, see
* .
*/
package org.graylog2.buffers.processors;
import com.codahale.metrics.Counter;
import com.codahale.metrics.InstrumentedExecutorService;
import com.codahale.metrics.Meter;
import com.codahale.metrics.MetricRegistry;
import com.codahale.metrics.Timer;
import com.google.common.util.concurrent.Futures;
import com.google.common.util.concurrent.ThreadFactoryBuilder;
import com.google.common.util.concurrent.Uninterruptibles;
import com.lmax.disruptor.WorkHandler;
import org.graylog2.Configuration;
import org.graylog2.outputs.DefaultMessageOutput;
import org.graylog2.outputs.OutputRouter;
import org.graylog2.plugin.GlobalMetricNames;
import org.graylog2.plugin.Message;
import org.graylog2.plugin.ServerStatus;
import org.graylog2.plugin.buffers.MessageEvent;
import org.graylog2.plugin.outputs.MessageOutput;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import javax.inject.Inject;
import java.util.Set;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.TimeUnit;
import static com.codahale.metrics.MetricRegistry.name;
public class OutputBufferProcessor implements WorkHandler {
private static final Logger LOG = LoggerFactory.getLogger(OutputBufferProcessor.class);
private static final String INCOMING_MESSAGES_METRICNAME = name(OutputBufferProcessor.class, "incomingMessages");
private static final String PROCESS_TIME_METRICNAME = name(OutputBufferProcessor.class, "processTime");
private final ExecutorService executor;
private final Configuration configuration;
private final ServerStatus serverStatus;
private final Meter incomingMessages;
private final Counter outputThroughput;
private final Timer processTime;
private final OutputRouter outputRouter;
private final MessageOutput defaultMessageOutput;
@Inject
public OutputBufferProcessor(Configuration configuration,
MetricRegistry metricRegistry,
ServerStatus serverStatus,
OutputRouter outputRouter,
@DefaultMessageOutput MessageOutput defaultMessageOutput) {
this.configuration = configuration;
this.serverStatus = serverStatus;
this.outputRouter = outputRouter;
this.defaultMessageOutput = defaultMessageOutput;
final String nameFormat = "outputbuffer-processor-executor-%d";
final int corePoolSize = configuration.getOutputBufferProcessorThreadsCorePoolSize();
this.executor = executorService(metricRegistry, nameFormat, corePoolSize);
this.incomingMessages = metricRegistry.meter(INCOMING_MESSAGES_METRICNAME);
this.outputThroughput = metricRegistry.counter(GlobalMetricNames.OUTPUT_THROUGHPUT);
this.processTime = metricRegistry.timer(PROCESS_TIME_METRICNAME);
}
private ExecutorService executorService(final MetricRegistry metricRegistry, final String nameFormat,
final int corePoolSize) {
final ThreadFactory threadFactory = new ThreadFactoryBuilder().setNameFormat(nameFormat).build();
return new InstrumentedExecutorService(
Executors.newFixedThreadPool(corePoolSize, threadFactory),
metricRegistry,
name(this.getClass(), "executor-service"));
}
/**
* Each message will be written to one or more outputs.
*
* The default output is always being used for every message, but optionally the message can be routed to additional
* outputs, currently based on the stream outputs that are configured in the system.
*
*
* The stream outputs are time limited so one bad output does not impact throughput too much. Essentially this means
* that the work of writing to the outputs is performed, but the writer threads will not wait forever for stream
* outputs to finish their work. This might lead to increased memory usage!
*
*
* The default output, however, is allowed to block and is not subject to time limiting. This is important because it
* can exert back pressure on the processing pipeline this way, making sure we don't run into excessive heap usage.
*
*
* @param event the message to write to outputs
* @throws Exception
*/
@Override
public void onEvent(MessageEvent event) throws Exception {
incomingMessages.mark();
final Message msg = event.getMessage();
if (msg == null) {
LOG.debug("Skipping null message.");
return;
}
LOG.trace("Processing message <{}> from OutputBuffer.", msg.getId());
final Set messageOutputs = outputRouter.getStreamOutputsForMessage(msg);
msg.recordCounter(serverStatus, "matched-outputs", messageOutputs.size());
final Future defaultOutputCompletion = processMessage(msg, defaultMessageOutput);
final CountDownLatch streamOutputsDoneSignal = new CountDownLatch(messageOutputs.size());
for (final MessageOutput output : messageOutputs) {
processMessage(msg, output, streamOutputsDoneSignal);
}
// Wait until all writer threads for stream outputs have finished or timeout is reached.
if (!streamOutputsDoneSignal.await(configuration.getOutputModuleTimeout(), TimeUnit.MILLISECONDS)) {
LOG.warn("Timeout reached. Not waiting any longer for stream output writer threads to complete.");
}
// now block until the default output has finished. most batching outputs will already been done because their
// fast path is really fast (usually an insert into a queue), but the slow flush path might block for a long time
// this exerts the back pressure to the system
if (defaultOutputCompletion != null) {
Uninterruptibles.getUninterruptibly(defaultOutputCompletion);
} else {
LOG.error("The default output future was null, this is a bug!");
}
if (msg.hasRecordings()) {
LOG.debug("Message event trace: {}", msg.recordingsAsString());
}
outputThroughput.inc();
LOG.debug("Wrote message <{}> to all outputs. Finished handling.", msg.getId());
event.clearMessages();
}
private Future processMessage(final Message msg, final MessageOutput defaultMessageOutput) {
return processMessage(msg, defaultMessageOutput, new CountDownLatch(0));
}
private Future processMessage(final Message msg, final MessageOutput output, final CountDownLatch doneSignal) {
if (output == null) {
LOG.error("Output was null!");
doneSignal.countDown();
return Futures.immediateCancelledFuture();
}
if (!output.isRunning()) {
LOG.debug("Skipping stopped output {}", output.getClass().getName());
doneSignal.countDown();
return Futures.immediateCancelledFuture();
}
Future future = null;
try {
LOG.debug("Writing message to [{}].", output.getClass());
if (LOG.isTraceEnabled()) {
LOG.trace("Message id for [{}]: <{}>", output.getClass(), msg.getId());
}
future = executor.submit(new Runnable() {
@Override
public void run() {
try (Timer.Context ignored = processTime.time()) {
output.write(msg);
} catch (Exception e) {
LOG.error("Error in output [" + output.getClass() + "].", e);
} finally {
doneSignal.countDown();
}
}
});
} catch (Exception e) {
LOG.error("Could not write message batch to output [" + output.getClass() + "].", e);
doneSignal.countDown();
}
return future;
}
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy