Esempio n. 1
0
        static void Main(string[] args)
        {
            Action task = () =>
            {
                System.Threading.Thread.Sleep(5000);
            };

            Action taskerror = () =>
            {
                System.Threading.Thread.Sleep(5000);
                throw new SystemException("AHA, this is an error");
            };

            var token    = new System.Threading.CancellationTokenSource();
            var consumer = new ConsumerSystem(4, token);

            var msg1 = System.Threading.Tasks.Task <JOBRESULT> .Factory
                       .StartNew(() => consumer.AddJob(4, new System.Action(task)), token.Token);

            var msg2 = System.Threading.Tasks.Task <JOBRESULT> .Factory
                       .StartNew(() => consumer.AddJob(4, new System.Action(taskerror)), token.Token);

            var result1 = msg1.Result;
            var resutl2 = msg2.Result;

            consumer.Stop();

            Console.WriteLine("Hello World!");
        }
Esempio n. 2
0
 public static async Task TearDownAkkaAsync()
 {
     try
     {
         await ConsumerSystem.Terminate();
     }
     catch
     {
         // no-op
     }
 }
Esempio n. 3
0
 private async Task TeardownActorSystemsAsync()
 {
     /*
      * await Task.WhenAll(
      *  ProducerSystem.Terminate(),
      *  ConsumerSystem.Terminate());
      */
     try
     {
         await ConsumerSystem.Terminate();
     } catch {}
 }
Esempio n. 4
0
        public async Task GlobalSetupAkkaAsync()
        {
            await SetupKafkaAsync();
            await SetupAkkaAsync();

            StartProducer();

            var consumerSettings = ConsumerSettings <Null, string>
                                   .Create(ConsumerSystem, null, null)
                                   .WithBootstrapServers(Docker.KafkaAddress)
                                   .WithGroupId(KafkaGroup);

            var(control, queue) = KafkaConsumer.PlainSource(consumerSettings, Subscriptions.Topics(KafkaTopic))
                                  .ToMaterialized(
                Sink.Queue <ConsumeResult <Null, string> >()
                .AddAttributes(new Attributes(new Attributes.InputBuffer(2000, 4000))),
                Keep.Both)
                                  .Run(ConsumerSystem.Materializer());

            _kafkaControl = control;
            _sink         = queue;
        }
Esempio n. 5
0
        public static async Task <int> Main(string[] args)
        {
            // Setup
            await SetupKafkaAsync();
            await SetupAkkaAsync();

            List <CpuUsage> usageBeforeLoad;
            List <CpuUsage> usageAfterLoad;

            try
            {
                _log = Logging.GetLogger(ConsumerSystem, nameof(Program));

                // Create topic on Kafka server
                var builder = new AdminClientBuilder(new AdminClientConfig
                {
                    BootstrapServers = Benchmark.Docker.KafkaAddress
                });
                using (var client = builder.Build())
                {
                    await client.CreateTopicsAsync(new[] { new TopicSpecification
                                                           {
                                                               Name              = KafkaTopic,
                                                               NumPartitions     = 3,
                                                               ReplicationFactor = 1
                                                           } });
                }

                // Set up consumer
                var consumerSettings = ConsumerSettings <string, string> .Create(ConsumerSystem, null, null)
                                       .WithBootstrapServers(Benchmark.Docker.KafkaAddress)
                                       .WithStopTimeout(TimeSpan.FromSeconds(1))
                                       .WithProperty("auto.offset.reset", "earliest")
                                       .WithGroupId(KafkaGroup);

                var control = KafkaConsumer.PlainPartitionedSource(consumerSettings, Subscriptions.Topics(KafkaTopic))
                              .GroupBy(3, tuple => tuple.Item1)
                              .SelectAsync(8, async tuple =>
                {
                    var(topicPartition, source) = tuple;
                    _log.Info($"Sub-source for {topicPartition}");
                    var sourceMessages = await source
                                         .Scan(0, (i, message) => i + 1)
                                         .Select(i =>
                    {
                        ReceivedMessage.IncrementAndGet();
                        return(LogReceivedMessages(topicPartition, i));
                    })
                                         .RunWith(Sink.Last <long>(), ConsumerSystem.Materializer());

                    _log.Info($"{topicPartition}: Received {sourceMessages} messages in total");
                    return(sourceMessages);
                })
                              .MergeSubstreams()
                              .AsInstanceOf <Source <long, IControl> >()
                              .Scan(0L, (i, subValue) => i + subValue)
                              .ToMaterialized(Sink.Last <long>(), Keep.Both)
                              .MapMaterializedValue(tuple => DrainingControl <long> .Create(tuple.Item1, tuple.Item2))
                              .Run(ConsumerSystem.Materializer());

                // Delay before benchmark
                await Task.Delay(TimeSpan.FromSeconds(DefaultDelay));

                // Warmup
                await CollectSamplesAsync(DefaultWarmUpRepeat, DefaultSampleDuration, "[Warmup]");

                // Collect CPU usage before load
                usageBeforeLoad = await CollectSamplesAsync(DefaultRepeat, DefaultSampleDuration, "[CPU Usage Before Load]");

                // Create load
                var producerSettings = ProducerSettings <string, string> .Create(ConsumerSystem, null, null)
                                       .WithBootstrapServers(Benchmark.Docker.KafkaAddress);

                await Source
                .From(Enumerable.Range(1, DefaultMessageCount))
                .Select(elem => new ProducerRecord <string, string>(KafkaTopic, "key", elem.ToString()))
                .RunWith(KafkaProducer.PlainSink(producerSettings), ConsumerSystem.Materializer());

                // Wait until consumer consumed all messages
                var stopwatch = Stopwatch.StartNew();
                while (stopwatch.Elapsed.TotalSeconds < DefaultTimeout && ReceivedMessage.Current < DefaultMessageCount)
                {
                    await Task.Delay(100);
                }
                stopwatch.Stop();
                if (stopwatch.Elapsed.TotalSeconds > DefaultTimeout)
                {
                    throw new Exception($"Timed out while waiting consumer to process {DefaultMessageCount} messages");
                }

                // Delay before benchmark
                await Task.Delay(TimeSpan.FromSeconds(DefaultDelay));

                // Collect CPU usage after load
                usageAfterLoad = await CollectSamplesAsync(DefaultRepeat, DefaultSampleDuration, "[CPU Usage After Load]");
            }
            finally
            {
                // Tear down
                await TearDownAkkaAsync();
                await TearDownKafkaAsync();
            }

            Console.WriteLine("CPU Benchmark complete.");
            await GenerateReportAsync(usageBeforeLoad, "BeforeLoad", DefaultSampleDuration, DefaultRepeat);
            await GenerateReportAsync(usageAfterLoad, "AfterLoad", DefaultSampleDuration, DefaultRepeat);

            return(0);
        }