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Code Reviews Message consumption with priorities and consumer error handling using EasyNetQ library

Context I was tasked with developing a way to consume RabbitMQ messages that have various priorities (actually different levels of QoS). My restrictions are: high priority messages should have ...

0 answers  ·  posted 8mo ago by Alexei‭  ·  edited 8mo ago by Alexei‭

#3: Nominated for promotion by user avatar Alexei‭ · 2024-03-29T08:14:14Z (8 months ago)
#2: Post edited by user avatar Alexei‭ · 2024-03-28T21:15:29Z (8 months ago)
removing confusing detail
  • ## Context
  • I was tasked with developing a way to consume RabbitMQ messages that have various priorities (actually different levels of QoS). My restrictions are:
  • - high priority messages should have precedence over lower priority messages (must be processed more quickly)
  • - low priority messages should not "starve" (i.e. a burst of high-priority messages should not lead to lower priority not being processed at all)
  • ## Overview
  • After researching several Rabbit MQ libraries, I have picked EasyNetQ which provides some useful abstraction over RabbitMQ .NET client. One of its consumption patterns looks like this:
  • ```c#
  • var queue = Bus.Advanced.QueueDeclare(Config.QueueName);
  • _ = Bus.Advanced.Consume(queue, (body, properties, info, ct) => Task.Run(async () =>
  • {
  • // this task will be awaited internally
  • }, ct),
  • cfg =>
  • {
  • cfg.WithPrefetchCount(Config.PrefetchCount);
  • });
  • ```
  • - The library automatically ACK the message if no exception is raised
  • - If an exception passes the end of this handler, a `IConsumerErrorStrategy` (default or custom) is called to handle that exception and decide on retrial, send to some dead letter exchange
  • - there is no support for explicit ACK or NACK
  • ## Consumption with priorities
  • My case requires handling the priorities and I use another class to deal with this.
  • ```c#
  • public abstract class RabbitMqMessageConsumerBase
  • {
  • protected IBus Bus { get; private set; }
  • private IPriorityTaskScheduler _priorityTaskScheduler = default!;
  • public RabbitMqConsumerConfig Config { get; set; } = new();
  • protected RabbitMqMessageConsumerBase(IBus bus)
  • {
  • Bus = bus;
  • }
  • public void StartConsumingWithPriorities(IPriorityTaskScheduler priorityTaskScheduler)
  • {
  • _priorityTaskScheduler = priorityTaskScheduler;
  • var queue = Bus.Advanced.QueueDeclare(Config.QueueName);
  • _ = Bus.Advanced.Consume(queue, (body, properties, info, ct) => Task.Run(async () =>
  • {
  • // not copying into a byte[] may lead memory corruption and deserialization failure
  • var bodyCopy = new byte[body.Length];
  • body.Span.CopyTo(bodyCopy);
  • await ScheduleMessageProcessing(bodyCopy, properties, info, ct);
  • }, ct),
  • cfg =>
  • {
  • cfg.WithPrefetchCount(Config.PrefetchCount);
  • });
  • }
  • private async Task ScheduleMessageProcessing(byte[] bodyCopy, MessageProperties properties, MessageReceivedInfo receivedInfo, CancellationToken ct)
  • {
  • byte priorityIndex = (byte)(properties.Priority - 1);
  • await _priorityTaskScheduler.ScheduleMessageProcessing(new PriorityTaskSchedulerItem
  • {
  • PriorityIndex = priorityIndex,
  • ProcessingTask = async () =>
  • {
  • await ProcessMessage(bodyCopy, properties, receivedInfo, ct);
  • },
  • ExceptionTask = async (ex) =>
  • {
  • await ProcessMessageException(ex, bodyCopy, properties, receivedInfo, ct);
  • },
  • Ct = ct
  • });
  • }
  • ```
  • The priority task scheduler places the Task (work to be done) in a BlockingCollection based on a computed priority, effectively delaying its execution if placed after other tasks.
  • Processing works as expected (priorities and throughput), but **a Task will be executed in another context than the client consumption one **(that one in which `ProcessTasks` runs).
  • This means that without using `TaskCompletionSource` and having the `ScheduleMessageProcessing` awaiting for `TaskCompletionSource's` Task, any raised exception during message processing will not reach the EasyNetQ handler.
  • ```c#
  • public class PriorityTaskScheduler : IPriorityTaskScheduler
  • {
  • private readonly int _maxPriority;
  • private readonly int _maxParallelism;
  • private readonly int _maxQueueSize;
  • private readonly int _blockingCollectionWaitTimeout;
  • private BlockingCollection<PriorityTaskSchedulerItem>[] _taskQueues = default!;
  • private readonly SemaphoreSlim _semaphore = new(1, 1);
  • private int _totalInProcess = 0;
  • private int _maxTotalInProcess = 0;
  • /// <summary>
  • /// specifies range in % of the total slots are searchable for current priority
  • /// if all slots have some load on them
  • /// </summary>
  • /// <remarks>index-0 correspond to priority=1</remarks>
  • private readonly int[] _prioritySearchableSlotRangePercs;
  • /// <summary>
  • /// specifies range in number of slots that are searchable for current priority
  • /// if all slots have some load on them
  • /// </summary>
  • private int[] _prioritySearchableSlotRange = default!;
  • /// <summary>
  • /// this should be set only for local dev testing
  • /// </summary>
  • public bool DiagnosticMode { get; set; } = false;
  • public PriorityTaskScheduler(PriorityTaskSchedulerConfig config)
  • {
  • _maxPriority = config.MaxPriority;
  • _maxParallelism = config.MaxParallelism;
  • _maxQueueSize = config.MaxQueueSize;
  • _blockingCollectionWaitTimeout = config.BlockingCollectionWaitTimeout;
  • _prioritySearchableSlotRangePercs = config.PrioritySearchableSlotRangePercs;
  • Init();
  • }
  • private void Init()
  • {
  • _taskQueues = new BlockingCollection<PriorityTaskSchedulerItem>[_maxParallelism];
  • _prioritySearchableSlotRange = new int[_maxPriority];
  • for (int i = 0; i < _maxPriority; i++)
  • {
  • _prioritySearchableSlotRange[i] = (int)(_maxParallelism * _prioritySearchableSlotRangePercs[i] / 100.0);
  • }
  • for (int i = 0; i < _maxParallelism; i++)
  • {
  • _taskQueues[i] = new BlockingCollection<PriorityTaskSchedulerItem>(_maxQueueSize);
  • }
  • }
  • // this is called on application startup
  • public void Start()
  • {
  • for (int i = 0; i < _maxParallelism; i++)
  • {
  • int queueIndex = i; // local copy for closure
  • Task.Run(async () => await ProcessTasks(queueIndex));
  • }
  • }
  • public async Task ScheduleMessageProcessing(PriorityTaskSchedulerItem item)
  • {
  • bool addedOk = false;
  • while (!addedOk)
  • {
  • var queue = GetQueueToUse(item.PriorityIndex);
  • addedOk = queue.TryAdd(item, _blockingCollectionWaitTimeout);
  • }
  • await item.TaskCompletionSource.Task;
  • }
  • private BlockingCollection<PriorityTaskSchedulerItem> GetQueueToUse(byte priorityIndex)
  • {
  • // compute queue index to use based on priority and current queues load
  • }
  • private async Task ProcessTasks(int queueIndex)
  • {
  • foreach (var schedulerItem in _taskQueues[queueIndex].GetConsumingEnumerable())
  • {
  • try
  • {
  • Interlocked.Increment(ref _totalInProcess);
  • if (_totalInProcess > _maxTotalInProcess)
  • _maxTotalInProcess = _totalInProcess;
  • if (DiagnosticMode)
  • LogSchedulerInfo();
  • var task = schedulerItem.ProcessingTask();
  • if (task != null)
  • await task;
  • schedulerItem.TaskCompletionSource.TrySetResult(null);
  • }
  • catch (Exception ex)
  • {
  • schedulerItem.TaskCompletionSource.TrySetException(ex);
  • if (schedulerItem.ExceptionTask != null)
  • await schedulerItem.ExceptionTask(ex);
  • }
  • finally
  • {
  • Interlocked.Decrement(ref _totalInProcess);
  • if (DiagnosticMode)
  • LogSchedulerInfo();
  • }
  • }
  • }
  • }
  • ```
  • The code is functional, but the solution (blocking Tasks, but having the scheduling waiting for the Task to be completed) seems clunky.
  • Any suggestions for improving this?
  • ## Context
  • I was tasked with developing a way to consume RabbitMQ messages that have various priorities (actually different levels of QoS). My restrictions are:
  • - high priority messages should have precedence over lower priority messages (must be processed more quickly)
  • - low priority messages should not "starve" (i.e. a burst of high-priority messages should not lead to lower priority not being processed at all)
  • ## Overview
  • After researching several Rabbit MQ libraries, I have picked EasyNetQ which provides some useful abstraction over RabbitMQ .NET client. One of its consumption patterns looks like this:
  • ```c#
  • var queue = Bus.Advanced.QueueDeclare(Config.QueueName);
  • _ = Bus.Advanced.Consume(queue, (body, properties, info, ct) => Task.Run(async () =>
  • {
  • // this task will be awaited internally
  • }, ct),
  • cfg =>
  • {
  • cfg.WithPrefetchCount(Config.PrefetchCount);
  • });
  • ```
  • - The library automatically ACK the message if no exception is raised
  • - If an exception passes the end of this handler, a `IConsumerErrorStrategy` (default or custom) is called to handle that exception and decide on retrial, send to some dead letter exchange
  • - there is no support for explicit ACK or NACK
  • ## Consumption with priorities
  • My case requires handling the priorities and I use another class to deal with this.
  • ```c#
  • public abstract class RabbitMqMessageConsumerBase
  • {
  • protected IBus Bus { get; private set; }
  • private IPriorityTaskScheduler _priorityTaskScheduler = default!;
  • public RabbitMqConsumerConfig Config { get; set; } = new();
  • protected RabbitMqMessageConsumerBase(IBus bus)
  • {
  • Bus = bus;
  • }
  • public void StartConsumingWithPriorities(IPriorityTaskScheduler priorityTaskScheduler)
  • {
  • _priorityTaskScheduler = priorityTaskScheduler;
  • var queue = Bus.Advanced.QueueDeclare(Config.QueueName);
  • _ = Bus.Advanced.Consume(queue, (body, properties, info, ct) => Task.Run(async () =>
  • {
  • // not copying into a byte[] may lead memory corruption and deserialization failure
  • var bodyCopy = new byte[body.Length];
  • body.Span.CopyTo(bodyCopy);
  • await ScheduleMessageProcessing(bodyCopy, properties, info, ct);
  • }, ct),
  • cfg =>
  • {
  • cfg.WithPrefetchCount(Config.PrefetchCount);
  • });
  • }
  • private async Task ScheduleMessageProcessing(byte[] bodyCopy, MessageProperties properties, MessageReceivedInfo receivedInfo, CancellationToken ct)
  • {
  • byte priorityIndex = (byte)(properties.Priority - 1);
  • await _priorityTaskScheduler.ScheduleMessageProcessing(new PriorityTaskSchedulerItem
  • {
  • PriorityIndex = priorityIndex,
  • ProcessingTask = async () =>
  • {
  • await ProcessMessage(bodyCopy, properties, receivedInfo, ct);
  • }
  • Ct = ct
  • });
  • }
  • ```
  • The priority task scheduler places the Task (work to be done) in a BlockingCollection based on a computed priority, effectively delaying its execution if placed after other tasks.
  • Processing works as expected (priorities and throughput), but **a Task will be executed in another context than the client consumption one **(that one in which `ProcessTasks` runs).
  • This means that without using `TaskCompletionSource` and having the `ScheduleMessageProcessing` awaiting for `TaskCompletionSource's` Task, any raised exception during message processing will not reach the EasyNetQ handler.
  • ```c#
  • public class PriorityTaskScheduler : IPriorityTaskScheduler
  • {
  • private readonly int _maxPriority;
  • private readonly int _maxParallelism;
  • private readonly int _maxQueueSize;
  • private readonly int _blockingCollectionWaitTimeout;
  • private BlockingCollection<PriorityTaskSchedulerItem>[] _taskQueues = default!;
  • private readonly SemaphoreSlim _semaphore = new(1, 1);
  • private int _totalInProcess = 0;
  • private int _maxTotalInProcess = 0;
  • /// <summary>
  • /// specifies range in % of the total slots are searchable for current priority
  • /// if all slots have some load on them
  • /// </summary>
  • /// <remarks>index-0 correspond to priority=1</remarks>
  • private readonly int[] _prioritySearchableSlotRangePercs;
  • /// <summary>
  • /// specifies range in number of slots that are searchable for current priority
  • /// if all slots have some load on them
  • /// </summary>
  • private int[] _prioritySearchableSlotRange = default!;
  • /// <summary>
  • /// this should be set only for local dev testing
  • /// </summary>
  • public bool DiagnosticMode { get; set; } = false;
  • public PriorityTaskScheduler(PriorityTaskSchedulerConfig config)
  • {
  • _maxPriority = config.MaxPriority;
  • _maxParallelism = config.MaxParallelism;
  • _maxQueueSize = config.MaxQueueSize;
  • _blockingCollectionWaitTimeout = config.BlockingCollectionWaitTimeout;
  • _prioritySearchableSlotRangePercs = config.PrioritySearchableSlotRangePercs;
  • Init();
  • }
  • private void Init()
  • {
  • _taskQueues = new BlockingCollection<PriorityTaskSchedulerItem>[_maxParallelism];
  • _prioritySearchableSlotRange = new int[_maxPriority];
  • for (int i = 0; i < _maxPriority; i++)
  • {
  • _prioritySearchableSlotRange[i] = (int)(_maxParallelism * _prioritySearchableSlotRangePercs[i] / 100.0);
  • }
  • for (int i = 0; i < _maxParallelism; i++)
  • {
  • _taskQueues[i] = new BlockingCollection<PriorityTaskSchedulerItem>(_maxQueueSize);
  • }
  • }
  • // this is called on application startup
  • public void Start()
  • {
  • for (int i = 0; i < _maxParallelism; i++)
  • {
  • int queueIndex = i; // local copy for closure
  • Task.Run(async () => await ProcessTasks(queueIndex));
  • }
  • }
  • public async Task ScheduleMessageProcessing(PriorityTaskSchedulerItem item)
  • {
  • bool addedOk = false;
  • while (!addedOk)
  • {
  • var queue = GetQueueToUse(item.PriorityIndex);
  • addedOk = queue.TryAdd(item, _blockingCollectionWaitTimeout);
  • }
  • await item.TaskCompletionSource.Task;
  • }
  • private BlockingCollection<PriorityTaskSchedulerItem> GetQueueToUse(byte priorityIndex)
  • {
  • // compute queue index to use based on priority and current queues load
  • }
  • private async Task ProcessTasks(int queueIndex)
  • {
  • foreach (var schedulerItem in _taskQueues[queueIndex].GetConsumingEnumerable())
  • {
  • try
  • {
  • Interlocked.Increment(ref _totalInProcess);
  • if (_totalInProcess > _maxTotalInProcess)
  • _maxTotalInProcess = _totalInProcess;
  • if (DiagnosticMode)
  • LogSchedulerInfo();
  • var task = schedulerItem.ProcessingTask();
  • if (task != null)
  • await task;
  • schedulerItem.TaskCompletionSource.TrySetResult(null);
  • }
  • catch (Exception ex)
  • {
  • schedulerItem.TaskCompletionSource.TrySetException(ex);
  • if (schedulerItem.ExceptionTask != null)
  • await schedulerItem.ExceptionTask(ex);
  • }
  • finally
  • {
  • Interlocked.Decrement(ref _totalInProcess);
  • if (DiagnosticMode)
  • LogSchedulerInfo();
  • }
  • }
  • }
  • }
  • ```
  • The code is functional, but the solution (blocking Tasks, but having the scheduling waiting for the Task to be completed) seems clunky.
  • Any suggestions for improving this?
#1: Initial revision by user avatar Alexei‭ · 2024-03-28T21:11:14Z (8 months ago)
Message consumption with priorities and consumer error handling using EasyNetQ library
## Context

I was tasked with developing a way to consume RabbitMQ messages that have various priorities (actually different levels of QoS). My restrictions are:

- high priority messages should have precedence over lower priority messages (must be processed more quickly)
- low priority messages should not "starve" (i.e. a burst of high-priority messages should not lead to lower priority not being processed at all)

## Overview

After researching several Rabbit MQ libraries, I have picked EasyNetQ which provides some useful abstraction over RabbitMQ .NET client. One of its consumption patterns looks like this:

```c#
var queue = Bus.Advanced.QueueDeclare(Config.QueueName);
_ = Bus.Advanced.Consume(queue, (body, properties, info, ct) => Task.Run(async () =>
{
   // this task will be awaited internally
}, ct),
cfg =>
{
	cfg.WithPrefetchCount(Config.PrefetchCount);
});
```

- The library automatically ACK the message if no exception is raised
- If an exception passes the end of this handler, a `IConsumerErrorStrategy` (default or custom) is called to handle that exception and decide on retrial, send to some dead letter exchange
- there is no support for explicit ACK or NACK

## Consumption with priorities

My case requires handling the priorities and I use another class to deal with this.


```c#
public abstract class RabbitMqMessageConsumerBase
{
    protected IBus Bus { get; private set; }
    private IPriorityTaskScheduler _priorityTaskScheduler = default!;

    public RabbitMqConsumerConfig Config { get; set; } = new();

    protected RabbitMqMessageConsumerBase(IBus bus)
    {
        Bus = bus;
    }
	
    public void StartConsumingWithPriorities(IPriorityTaskScheduler priorityTaskScheduler)
    {
        _priorityTaskScheduler = priorityTaskScheduler;

        var queue = Bus.Advanced.QueueDeclare(Config.QueueName);
        _ = Bus.Advanced.Consume(queue, (body, properties, info, ct) => Task.Run(async () =>
        {
            // not copying into a byte[] may lead memory corruption and deserialization failure
            var bodyCopy = new byte[body.Length];
            body.Span.CopyTo(bodyCopy);

            await ScheduleMessageProcessing(bodyCopy, properties, info, ct);
        }, ct),
        cfg =>
        {
            cfg.WithPrefetchCount(Config.PrefetchCount);
        });
    }

    private async Task ScheduleMessageProcessing(byte[] bodyCopy, MessageProperties properties, MessageReceivedInfo receivedInfo, CancellationToken ct)
    {
        byte priorityIndex = (byte)(properties.Priority - 1);

        await _priorityTaskScheduler.ScheduleMessageProcessing(new PriorityTaskSchedulerItem
        {
            PriorityIndex = priorityIndex,
            ProcessingTask = async () =>
            {
                await ProcessMessage(bodyCopy, properties, receivedInfo, ct);
            },
            ExceptionTask = async (ex) =>
            {
                await ProcessMessageException(ex, bodyCopy, properties, receivedInfo, ct);
            },
            Ct = ct
        });
    }

```

The priority task scheduler places the Task (work to be done) in a BlockingCollection based on a computed priority, effectively delaying its execution if placed after other tasks.

Processing works as expected (priorities and throughput), but **a Task will be executed in another context than the client consumption one **(that one in which `ProcessTasks` runs).

This means that without using `TaskCompletionSource` and having the `ScheduleMessageProcessing` awaiting for `TaskCompletionSource's` Task, any raised exception during message processing will not reach the EasyNetQ handler.

```c#
public class PriorityTaskScheduler : IPriorityTaskScheduler
{
    private readonly int _maxPriority;
    private readonly int _maxParallelism;
    private readonly int _maxQueueSize;
    private readonly int _blockingCollectionWaitTimeout;

    private BlockingCollection<PriorityTaskSchedulerItem>[] _taskQueues = default!;
    private readonly SemaphoreSlim _semaphore = new(1, 1);

    private int _totalInProcess = 0;
    private int _maxTotalInProcess = 0;


    /// <summary>
    /// specifies range in % of the total slots are searchable for current priority
    /// if all slots have some load on them
    /// </summary>
    /// <remarks>index-0 correspond to priority=1</remarks>
    private readonly int[] _prioritySearchableSlotRangePercs;

    /// <summary>
    /// specifies range in number of slots that are searchable for current priority
    /// if all slots have some load on them
    /// </summary>
    private int[] _prioritySearchableSlotRange = default!;

    /// <summary>
    /// this should be set only for local dev testing
    /// </summary>
    public bool DiagnosticMode { get; set; } = false;

    public PriorityTaskScheduler(PriorityTaskSchedulerConfig config)
    {
        _maxPriority = config.MaxPriority;
        _maxParallelism = config.MaxParallelism;
        _maxQueueSize = config.MaxQueueSize;
        _blockingCollectionWaitTimeout = config.BlockingCollectionWaitTimeout;
        _prioritySearchableSlotRangePercs = config.PrioritySearchableSlotRangePercs;

        Init();
    }

    private void Init()
    {
        _taskQueues = new BlockingCollection<PriorityTaskSchedulerItem>[_maxParallelism];
        _prioritySearchableSlotRange = new int[_maxPriority];

        for (int i = 0; i < _maxPriority; i++)
        {
            _prioritySearchableSlotRange[i] = (int)(_maxParallelism * _prioritySearchableSlotRangePercs[i] / 100.0);
        }

        for (int i = 0; i < _maxParallelism; i++)
        {
            _taskQueues[i] = new BlockingCollection<PriorityTaskSchedulerItem>(_maxQueueSize);
        }
    }

    // this is called on application startup
    public void Start()
    {
        for (int i = 0; i < _maxParallelism; i++)
        {
            int queueIndex = i; // local copy for closure
            Task.Run(async () => await ProcessTasks(queueIndex));
        }
    }

    public async Task ScheduleMessageProcessing(PriorityTaskSchedulerItem item)
    {
        bool addedOk = false;
        while (!addedOk)
        {
            var queue = GetQueueToUse(item.PriorityIndex);
            addedOk = queue.TryAdd(item, _blockingCollectionWaitTimeout);
        }

        await item.TaskCompletionSource.Task;
    }

    private BlockingCollection<PriorityTaskSchedulerItem> GetQueueToUse(byte priorityIndex)
    {
         // compute queue index to use based on priority and current queues load
    }

     private async Task ProcessTasks(int queueIndex)
    {
        foreach (var schedulerItem in _taskQueues[queueIndex].GetConsumingEnumerable())
        {
            try
            {
                Interlocked.Increment(ref _totalInProcess);
                if (_totalInProcess > _maxTotalInProcess)
                    _maxTotalInProcess = _totalInProcess;

                if (DiagnosticMode)
                    LogSchedulerInfo();

                var task = schedulerItem.ProcessingTask();
                if (task != null)
                    await task;

                schedulerItem.TaskCompletionSource.TrySetResult(null);
            }
            catch (Exception ex)
            {
                schedulerItem.TaskCompletionSource.TrySetException(ex);

                if (schedulerItem.ExceptionTask != null)
                    await schedulerItem.ExceptionTask(ex);
            }
            finally
            {
                Interlocked.Decrement(ref _totalInProcess);

                if (DiagnosticMode)
                    LogSchedulerInfo();
            }
        }
    }
}
```

The code is functional, but the solution (blocking Tasks, but having the scheduling waiting for the Task to be completed) seems clunky.

Any suggestions for improving this?