Tag Archives: Jasper

Compiling Code At Runtime with Lamar – Part 2

In my previous post, I introduced Lamar‘s ability and utilities for generating code in memory and compiling that code into usable, in memory assemblies with the Roslyn compiler. In this post I’m going to try to explain the more complicated “frames” model with Lamar that provides the backbone for the related Jasper framework’s middleware and runtime pipeline strategy.

The purpose of the “frames” model is to be able to generate dynamic methods by declaring a list of logical operations in generated code via Frame objects, then let Lamar handle:

  • Finding any missing dependencies of those frames
  • Determine what the necessary variable inputs are
  • Ordering all the frames based on dependency order just prior to generating the code

Before diving into an example, here’s a little class diagram of the main types:


The various types represent:

  • Frame – Named after the StackFrame objects within stack traces in .Net. Models a logical action done in the generated code. Concrete examples in Lamar or Jasper would be calling a method on an object, calling a constructor function, or specific frame objects to create wrapped transaction boundaries or exception handling boundaries.
  • Variable – pretty well what it sounds like. This type models a variable within the generated method, but also includes information about what Frame created it to help order the dependencies
  • IVariableSource – mechanism to “find” or create variables. Examples in Lamar include resolving a service from an IoC container, passing along a method argument, or the example below that tells you the current time
  • IMethodVariables – interface that is used by Frame classes to go find their necessary Variable dependencies.

Alrighty then, let’s make this concrete. Let’s say that we want to generate and use dynamic instances of this interface:

public interface ISaySomething
    void Speak();

Moreover, I want a version of ISaySomething that will call the following method and write the current time to the console:

public static class NowSpeaker
    public static void Speak(DateTime now)

Our dynamic class for ISaySomething will need to pass the current time to the now parameter of that method. To help out here, there’s some built in helpers in Lamar specifically to write in the right code to get the current time to a variable of DateTime or DateTimeOffset that is named “now.”

To skip ahead a little bit, let’s generate a new class and object with the following code:

// Configures the code generation rules
// and policies
var rules = new GenerationRules("GeneratedNamespace");

// Adds the "now : DateTime" variable rule to 
// our generated code
rules.Sources.Add(new NowTimeVariableSource());

// Start the definition for a new generated assembly
var assembly = new GeneratedAssembly(rules);

// Add a new generated type called "WhatTimeIsIt" that will
// implement the 
var type = assembly.AddType("WhatTimeIsIt", typeof(ISaySomething));

// Getting the definition for the method named "Speak"
var method = type.MethodFor(nameof(ISaySomething.Speak));

// Adding a frame that calls the NowSpeaker.Speak() method and
// adding it to the generated method
var @call = new MethodCall(typeof(NowSpeaker), nameof(NowSpeaker.Speak));

// Compile the new code!

After all that, if we interrogate the source code for the generated type above (type.SourceCode), we’d see this ugly generated code:

    public class WhatTimeIsIt : Lamar.Testing.Samples.ISaySomething

        public void Speak()
            var now = System.DateTime.UtcNow;


Some notes about the generated code:

  • Lamar was able to stick in some additional code to pass the current time into a new variable, and call the Speak(DateTime now) method with that value.
  • Lamar is smart enough to put that code before the call to the method (that kind of matters here)
  • The generated code uses full type names in almost all cases to avoid type collisions rather than trying to get smart with using statements in the generated code

So now let’s look at how Lamar was able to add the code to pass along DateTime.UtcNow. First off, let’s look at the code that just writes out the date variable:

public class NowFetchFrame : SyncFrame
    public NowFetchFrame(Type variableType)
        // there's some sleight of hand here that's marking
        // this new Variable as created by this frame object
        // so that the dependency relationship is made
        Variable = new Variable(variableType, "now", this);
    public Variable Variable { get; }
    public override void GenerateCode(
        GeneratedMethod method, 
        ISourceWriter writer)
        writer.WriteLine($"var {Variable.Usage} 
            = {Variable.VariableType.FullName}.{nameof(DateTime.UtcNow)};");
        Next?.GenerateCode(method, writer);

In the frame above, you’ll see that the GenerateCode() method writes its code into the source, then immediately turns around and tells the next Frame – if there is one – to generated its code. As the last step to write out the new source code, Lamar:

  1. Goes through an effort to find any missing frames and variables
  2. Sorts them with a topological sort (what frames depend on what other frames or variables, what variables are used or created by what frames)
  3. Organizes the frames into a single linked list
  4. Calls GenerateCode() on the first frame

In the generated method up above, the call to NowSpeaker.Speak(now) depends on the now variable which is in turn created by the NowFetchFrame, and that’s enough information for Lamar to order things and generate the final code.

Lastly, we had to use a custom IVariableSource to teach Lamar how to resolve the now variable. That code looks like this:

public class NowTimeVariableSource : IVariableSource
    public bool Matches(Type type)
        return type == typeof(DateTime) || type == typeof(DateTimeOffset);

    public Variable Create(Type type)
        if (type == typeof(DateTime))
            return new NowFetchFrame(typeof(DateTime)).Variable;

        if (type == typeof(DateTimeOffset))
            return new NowFetchFrame(typeof(DateTimeOffset)).Variable;

        throw new ArgumentOutOfRangeException(nameof(type), "Only DateTime and DateTimeOffset are supported");

Out of the box, the Lamar + Jasper combination uses variable sources for:

  • Services from the internal IoC container of the application
  • Method arguments
  • Variables that can be derived from a method argument like HttpContext.Request
  • The “now” convention shown here


I don’t know how popular this thing is going to be, but it’s powering the dynamic code generation of Jasper’s runtime pipeline and it’s the key to Jasper’s efficiency compared to other .Net tools with similar functionality. The early feedback I got was that this model was very abstract and hard to follow. I’m open to suggestions, but the very nature of needing to do the recursive dependency detection and ordering kind of necessitates a model like this in my opinion.


Compiling Code At Runtime with Lamar – Part 1

This code was originally written and proven out in the related Marten and described in a post titled Using Roslyn for Runtime Code Generation in Marten. This code was ripped out of Marten itself, but it’s happily running now in Lamar a couple years later.

As some of you know, I’ve been working on a new library called Lamar that I mean to be the next generation replacement for the venerable, but creaky StructureMap library. Besides the IoC Container support though, Lamar also provides some tooling and a model to generate and compile code at runtime, then ultimately load and use the newly generated types.

If all you want to do is take some C# code and compile that in memory to a new, in memory assembly, you can use
the Lamar.Compilation.AssemblyGenerator class.

Let’s say that you have a simple interface in your system like this:

    public interface IOperation
        int Calculate(int one, int two);

Next, let’s use AssemblyGenerator to compile code with a custom implementation of IOperation that we’ve generated
in code:

        public void generate_code_on_the_fly()
            var generator = new AssemblyGenerator();

            // This is necessary for the compilation to succeed
            // It's exactly the equivalent of adding references
            // to your project

            // Compile and generate a new .Net Assembly object
            // in memory
            var assembly = generator.Generate(@"
using Lamar.Testing.Samples;

namespace Generated
    public class AddOperator : IOperation
        public int Calculate(int one, int two)
            return one + two;

            // Find the new type we generated up above
            var type = assembly.GetExportedTypes().Single();
            // Use Activator.CreateInstance() to build an object
            // instance of our new class, and cast it to the 
            // IOperation interface
            var operation = (IOperation)Activator.CreateInstance(type);

            // Use our new type
            var result = operation.Calculate(1, 2);

There’s only a couple things going on in the code above:

  1. I added an assembly reference for the .Net assembly that holds the IOperation interface
  2. I passed a string to the ​GenerateCode() method, which successfully compiles my code and hands me back a .Net Assembly object
  3. Load the newly generated type from the new Assembly
  4. Use the new IOperation

If you’re not perfectly keen on doing brute force string manipulation to generate your code, you can
also use Lamar’s built in ISourceWriter to generate some of the code for you with
all its code generation utilities:

public void generate_code_on_the_fly_using_source_writer()
    var generator = new AssemblyGenerator();

    // This is necessary for the compilation to succeed
    // It's exactly the equivalent of adding references
    // to your project

    var assembly = generator.Generate(x =>
        x.StartClass("AddOperator", typeof(IOperation));
        x.Write("BLOCK:public int Calculate(int one, int two)");
        x.Write("return one + two;");
        x.FinishBlock();  // Finish the method
        x.FinishBlock();  // Finish the class
        x.FinishBlock();  // Finish the namespace

    var type = assembly.GetExportedTypes().Single();
    var operation = (IOperation)Activator.CreateInstance(type);

    var result = operation.Calculate(1, 2);


In Part 2, I’ll talk about the “frames” model that’s heavily used within Jasper (shown in this post).

Scheduled or Delayed Message Execution in Jasper

This is definitely not a replacement for something like Hangfire, but it’s very handy for what it does. 

Here’s a couple somewhat common scenarios in an event driven or messaging system:

  • Handling a message failed, but with some kind of problem that might be resolved if the message is retried later in a few seconds or maybe even minutes
  • A message is received that starts a long running process of some kind, and you may want to schedule a “timeout” process later that would send an email to users or do something to escalate the process if it has not finished by the scheduled time

For these kinds of use cases, Jasper supports the idea of scheduled execution, where messages can be sent with a logical “execute this message at this later time.”

Retry Later in Error Handling

The first usage of scheduled execution is in message handling error policies. Take this example below where I tell Jasper to retry handling an incoming message that fails with a TimeoutException again after a 5 second delay:

public class GlobalRetryApp : JasperRegistry
    public GlobalRetryApp()

Behind the scenes, the usage of the RetryLater()method causes Jasper to schedule the incoming message for later execution if that error policy kicks in during processing.

Scheduling Messages Locally

To schedule a message to be processed by the current system at a later time, just use the IMessageContext.Schedule() method as shown below:

public async Task schedule_locally(IMessageContext context, Guid issueId)
    var timeout = new WarnIfIssueIsStale
        IssueId = issueId

    // Process the issue timeout logic 3 days from now
    // in *this* system
    await context.Schedule(timeout, 3.Days());

This method allows you to either express an exact time or to use a TimeSpan argument for delayed scheduling. Either way, Jasper ultimately stores the scheduled message against a UTC time. IMessageContext is the main service in Jasper for sending and executing messages or commands. It will be registered in your IoC container for any Jasper application.

Sending Scheduled Messages to Other Systems

To send a message to another system that should wait to execute the message on its end, use this syntax:

public async Task send_at_5_tomorrow_afternoon_yourself(IMessageContext context, Guid issueId)
    var timeout = new WarnIfIssueIsStale
        IssueId = issueId

    var time = DateTime.Today.AddDays(1).AddHours(17);

    // Process the issue timeout at 5PM tomorrow
    // Do note that Jasper quietly converts this
    // to universal time in storage
    await context.Send(timeout, e => e.ExecutionTime = time);

Do note that Jasper immediately sends the message. For right now, the thinking is that the receiving application will be responsible for handling the execution scheduling. We may choose later to make this be the responsibility of the sending application instead to be more usable when sending messages to other systems that aren’t using Jasper.

Persistent Job Scheduling

The default, in memory message execution scheduling is probably good enough merely for delayed message processing retries as shown above, However, if you’re using the scheduled execution as part of your business workflow, you probably want to be using the durable message persistence. Today your two options are to use either Postgresql with Marten, or the new Sql Server backed message persistence.

With durable messaging, the scheduled messages are persisted to a backing database so they aren’t lost if any particular node is shut down or the whole system somehow crashes. Behind the scenes, Jasper just uses polling to check the database for any scheduled messages that are ready to execute, and pulls these expired messages into the local worker queues of a running node for normal execution.

The scheduled messages can be processed by any of the running nodes within your system, but we take some steps to guarantee that only one node will execute specific scheduled messages. Rather than using any kind of leader election, Jasper just takes advantage of advisory locks in Postgresql or application locks in Sql Server as a lightweight, global lock between the running nodes within your application. It’s a much simpler (read, less effort on my time) mechanism than trying to do some kind of leader election between running nodes. It also allows Jasper to better spread the work across all of the nodes.


Roslyn Powered Code Weaving Middleware

Jasper, with a big assist from Lamar, supports a unique middleware strategy that I believe will result in significantly higher performance, cleaner exception stack traces (and that matters), and better visibility into its runtime pipeline than similar frameworks in .Net. If you want to follow along with this code, you’ll need at least Jasper 0.8.3 that’s being indexed by Nuget as you read this and Jasper.SqlServer 0.8.2 because I managed to find some bugs while writing this post. Of course.

At this point, most .Net frameworks for messaging, local command running, or service bus message handling have some sort of support for nested middleware or what I used to call the Russian Doll Model. ASP.Net Core middleware is one example of this. Behaviors from NServiceBus is another example.

The great thing about this model when used judiciously is that it’s a great way to handle certain kinds of cross cutting concerns outside of your main HTTP route handling or message handling code. Used well, middleware will allow you to reuse a lot of code and simplify your application code by removing the need for repetitive infrastructure or workflow code.

In web development projects I’ve used or seen used middleware for:

  • Transaction management or unit of work semantics
  • Input validation where the middleware can stop further processing
  • Authentication
  • Authorization

Taking just authentication and authorization as examples, in many cases I’ve seen teams be able to get away with completely ignoring these concerns upfront while focusing on the core business functionality, then being able at a later time to just add middleware for authentication and authorization to take care of these concerns without having any impact on the existing business functionality. That’s a powerful exploitation of architectural reversibility to make development easier.

I’ve also seen this technique taken way, way too far to the point where the code was very difficult to understand. My advice is something along the lines of “don’t be stupid” and pay attention to what’s happening in your code if the middleware usage does more harm than good.

What Came Before and Why It Was Problematic

In FubuMVC, we supported a middleware strategy we called “behaviors” with this interface:

    public interface IActionBehavior
        Task Invoke();
        Task InvokePartial();

Calling the main HTTP action in FubuMVC’s equivalent to controller actions was a behavior. Reading the input body was a behavior. The common things like validation, authorization, authentication, and transactional management were potentially separate behavior objects. At runtime, we would use an IoC container to build out all the behaviors for the matched route, with each “outer” behavior having a reference to its “inner” behavior and each behavior having whatever services it needed to do its work injected into its constructor function.

When it worked well, it was awesome — at least in ~2010 terms when we .Net developers were just thrilled to break away from WebForms. Alas, this model has some issues:

  • It didn’t support an asynchronous model like you’d expect with more recent tooling
  • It results in an absurd number of objects being allocated for each HTTP request. Add in the mechanics around IoC scoped containers, and there was a lot of overhead just to assemble the things you needed to handle the request
  • When something went wrong, the stack traces were epic. There was so much FubuMVC-related framework noise code in the stack trace that many developers would just throw up their hands and run away (even though the real problem was clearly in their own code if they’d just looked at the top of the stack trace, but I digress….)
  • We had tools to visualize the full chain of behaviors for each route, but I don’t think that was ever fully effective for most developers who used FubuMVC

Jasper’s Approach

Not that long after publicly giving up on FubuMVC, I happened to see some articles about how the new Roslyn “compiler as a service” would allow you to compile and load assemblies on the fly from generated C# code. I theorized that this new Roslyn behavior could be exploited to create a new runtime pipeline for HTTP or messaging frameworks where you still had something like FubuMVC’s old Behavior model for cross cutting concerns, but you used some kind of code generation to “weave” in that functionality around your application code.

To make this more concrete, consider this function from a load testing harness that:

  • Handles an HTTP POST request to the url “/one”
  • Creates a new message object
  • Writes a record to the database tracking that the message was sent for the sake of verifying behavior later
  • Sends a message using Jasper’s Sql Server-backed messaging persistence

This is the actual code for the function that handles the HTTP POST:

public static async Task post_one(IMessageContext context, SqlTransaction tx)
    // Loads a pre-packaged message body from a JSON string
    var target1 = JsonConvert.DeserializeObject(_json1);
    target1.Id = Guid.NewGuid();

    await tx.StoreSent(target1.Id, "Target");

    // Send a message through Jasper
    await context.Send(target1);

When Jasper bootstraps, it will generate a new class for each known route that inherits from this class partially shown below:

    public abstract class RouteHandler
        public abstract Task Handle(HttpContext httpContext);

        // Other methods we don't care about here

The RouteHandler classes are all compiled into a new assembly on the fly, then a single instance of each is instantiated and kept in the routing tree ready to handle any incoming requests.

The various instances of RouteHandler mediate between Jasper’s built in HTTP router and the interface it expects, the action methods that handle the actual request, and any Jasper middleware that might be mixed in. In the case of the post_one method shown above, the generated RouteHandler class is this (also on a Gist if the formatting is unreadable in your browser):

    public class SqlSender_HomeEndpoint_post_one : Jasper.Http.Model.RouteHandler
        private readonly SqlServerSettings _sqlServerSettings;
        private readonly IMessagingRoot _messagingRoot;

        public SqlSender_HomeEndpoint_post_one(SqlServerSettings sqlServerSettings, IMessagingRoot messagingRoot)
            _sqlServerSettings = sqlServerSettings;
            _messagingRoot = messagingRoot;

        public override async Task Handle(Microsoft.AspNetCore.Http.HttpContext httpContext)
            var messageContext = _messagingRoot.NewContext();
            using (System.Data.SqlClient.SqlConnection sqlConnection2 = new System.Data.SqlClient.SqlConnection(_sqlServerSettings.ConnectionString))
                await sqlConnection2.OpenAsync();
                var sqlTransaction = sqlConnection2.BeginTransaction();
                await Jasper.SqlServer.SqlServerOutboxExtensions.EnlistInTransaction(messageContext, sqlTransaction);
                await SqlSender.HomeEndpoint.post_one(messageContext, sqlTransaction);
                await messageContext.SendAllQueuedOutgoingMessages();

So let’s deconstruct this generated code a little bit because there’s clearly more going on than just delegating to the post_one method. If you look up above at the post_one method, you’ll see that it’s decorated with an [SqlTransaction]attribute. That adds Jasper’s Sql Server transactional middleware into the mix. All told, the generated code:

  1. Creates a new IMessageContext object that the post_one method needs
  2. Creates and opens a new SqlConnection to the connection string specified in configuration (through the SqlServerSettings object)
  3. Starts a new transaction
  4. Enlists the IMessageContext in the current transaction using Jasper’s Sql Server-backed outbox support
  5. Calls post_one with its two arguments
  6. Commits the transaction
  7. Flushes out any queued up, outgoing messages into Jasper’s local sending queues
  8. Closes and disposes the open connection

What you don’t see in that generated code is maybe more important:

  • In this case, Jasper/Lamar didn’t have to resort to using a scoped IoC container of any kind when handling this HTTP request. That’s a lot of runtime overhead that just disappeared as compared to most other .Net frameworks that perform similar functions to Jasper
  • When something does go wrong, the exception stack traces are going to be much simpler because everything is happening in just a few methods now instead of having lots of wrapped objects implementing a middleware strategy
  • Very few object allocations compared to the way FubuMVC accomplished the exact same functionality, and that’s hugely advantageous for performance in high volume systems

I think a deeper dive blog post later is probably justified, but the implementation of the middleware is this class below:

    public class SqlTransactionFrame : AsyncFrame
        private Variable _connection;
        private bool _isUsingPersistence;
        private Variable _context;

        public SqlTransactionFrame()
            Transaction = new Variable(typeof(SqlTransaction), this);

        public bool ShouldFlushOutgoingMessages { get; set; }

        public Variable Transaction { get; }

        public override void GenerateCode(GeneratedMethod method, ISourceWriter writer)
            writer.Write($"await {_connection.Usage}.{nameof(SqlConnection.OpenAsync)}();");
            writer.Write($"var {Transaction.Usage} = {_connection.Usage}.{nameof(SqlConnection.BeginTransaction)}();");

            if (_context != null && _isUsingPersistence)
                writer.Write($"await {typeof(SqlServerOutboxExtensions).FullName}.{nameof(SqlServerOutboxExtensions.EnlistInTransaction)}({_context.Usage}, {Transaction.Usage});");

            Next?.GenerateCode(method, writer);

            if (ShouldFlushOutgoingMessages)
                writer.Write($"await {_context.Usage}.{nameof(IMessageContext.SendAllQueuedOutgoingMessages)}();");


        // This is necessary to identify other things that need to 
        // be written into the generated method as dependencies
        // to this Frame
        public override IEnumerable<Variable> FindVariables(IMethodVariables chain)
            _isUsingPersistence = chain.IsUsingSqlServerPersistence();

            _connection = chain.FindVariable(typeof(SqlConnection));
            yield return _connection;

            if (ShouldFlushOutgoingMessages)
                _context = chain.FindVariable(typeof(IMessageContext));
                // Inside of messaging. Not sure how this is gonna work for HTTP yet
                _context = chain.TryFindVariable(typeof(IMessageContext), VariableSource.NotServices);

            if (_context != null) yield return _context;

There’s a little bit of complicated goop around the code generation that’s necessary to allow Lamar to properly order the steps in the code generation, but the code generation itself is just writing C# code out — and the new C# string interpolation (finally) makes that pretty approachable in my opinion, especially compared to having to use .Net Expressions or emitting IL.


More Information

I wrote a blog post earlier this year called Jasper’s Roslyn-Powered “Special Sauce” that laid out some of the same arguments.

Using Roslyn for Runtime Code Generation in Marten presented an early form of the code generation and runtime compilation that ended up in Lamar. We ripped this out of Marten, but it still served as a proof of concept later for Jasper;)

Really, this amounts to what I think is an easier to use form of Aspect Oriented Programming.

Jasper’s “Outbox” Pattern Support

Jasper supports the “outbox pattern,”  a way to achieve consistency between the outgoing messages that you send out as part of a logical unit of work without having to resort to two phase, distributed transactions between your application’s backing database and whatever queueing technology you might be using. Why do you care? Because consistency is good, and distributed transactions suck, that’s why.

Before you read this, and especially if you’re a coworker freaking out because you think I’m trying to force you to use Postgresql, Jasper is not directly coupled to Postgresql and we will shortly add similar support to what’s shown here for Sql Server message persistence with Dapper and possibly Entity Framework.

Let’s say you have an ASP.Net Core MVC controller action like this in a system that is using Marten for document persistence:

public async Task<IActionResult> CreateItem(
    [FromBody] CreateItemCommand command,
    [FromServices] IDocumentStore martenStore,
    [FromServices] IMessageContext context)
    var item = createItem(command);

    using (var session = martenStore.LightweightSession())
        await session.SaveChangesAsync();
    var outgoing = new ItemCreated{Id = item.Id};
    await context.Send(outgoing);

    return Ok();

It’s all contrived, but it’s a relatively common pattern. The HTTP action:

  1. Receives a CreateItemCommand message from the client
  2. Creates a new Item document and persists that with a Marten document session
  3. Broadcasts an ItemCreated event to any known subscribers through Jasper’s IMessageContext service. For the sake of the example, let’s say that under the covers Jasper is publishing the message through RabbitMQ (because I just happened to push Jasper’s RabbitMQ support today).

Let’s say that in this case we need both the document persistence and the message being sent out to either succeed together or both fail together to keep your system and any downstream subscribers consistent. Now, let’s think about all the ways things can go wrong:

  1. If we keep the code the way that it is, what if the transaction succeeds, but the call to context.Send() fails, so we’re inconsistent
  2. If we sent the message before we persisted the document, but the call to session.SaveChangesAsync() failed, we’re inconsistent
  3. The system magically fails and shuts down in between the document getting saved and the outgoing message being completely enqueued — and that’s not that crazy if the system handles a lot of messages

We’ve got a couple options. We can try to use a distributed transaction between the underlying RabbitMQ queue and the Postgresql database, but those can be problematic and are definitely not super performant. We could also use some kind of compensating transaction to reestablish consistency, but that’s just more code to write.

Instead, let’s use Jasper’s support for the “outbox” pattern with Marten:

public async Task<IActionResult> CreateItem(
    [FromBody] CreateItemCommand command,
    [FromServices] IDocumentStore martenStore,
    [FromServices] IMessageContext context)
    var item = createItem(command);
    using (var session = martenStore.LightweightSession())
        // Directs the message context to hold onto
        // outgoing messages, and persist them 
        // as part of the given Marten document
        // session when it is committed
        await context.EnlistInTransaction(session);
        var outgoing = new ItemCreated{Id = item.Id};
        await context.Send(outgoing);
        await session.SaveChangesAsync();

    return Ok();

The key things to know here are:

  • The outgoing messages are persisted in the same Postgresql database as the Item document with a native database transaction.
  • The outgoing messages are not sent to RabbitMQ until the underlying database transaction in the call to session.SaveChangesAsync() succeeds
  • For the sake of performance, the message persistence goes up to Postgresql with all the document operations in one network round trip to the database for just a wee bit of performance optimization.

For more context, here’s a sequence diagram explaining how it works under the covers using Marten’s IDocumentSessionListener:

Handling a Message w_ Unit of Work Middleware (1)

So now, let’s talk about all the things that can go wrong and how the outbox usage makes it better:

  • The transaction fails. No messages will be sent out, so there’s no inconsistency.
  • The transaction succeeds, but the RabbitMQ broker is unreachable. It’s still okay. Jasper has the outgoing messages persisted, and the durable messaging support will continue to retry the outgoing messages when the broker is available again.
  • The transaction succeeds, but the application process is killed before the outgoing message is completely sent to RabbitMQ. Same as the bullet point above.


Outbox Pattern inside of Message Handlers

The outbox usage within a message handler for the same CreateItemCommand in its most explicit form might look like this:

public static async Task Handle(
    CreateItemCommand command, 
    IDocumentStore store, 
    IMessageContext context)
    var item = createItem(command);

    using (var session = store.LightweightSession())
        await context.EnlistInTransaction(session);

        var outgoing = new ItemCreated{Id = item.Id};
        await context.Send(outgoing);


        await session.SaveChangesAsync();

Hopefully, that’s not terrible, but we can drastically simplify this code if you don’t mind some degree of “magic” using Jasper’s cascading message support and Marten transaction middleware:

public static ItemCreated Handle(
    CreateItemCommand command,
    IDocumentSession session)
    var item = createItem(command);

    return new ItemCreated{Id = item.Id};

The usage of the [MartenTransaction] attribute directs Jasper to apply a transaction against the IDocumentSession usage and automatically enlists the IMessageContext for the message in that session. The outgoing ItemCreated message returned from the action is sent out through the same IMessageContext object.


Jasper Command Line App Support you Wish Your Framework Already Had

Jasper is a new messaging and command runner framework targeting Netstandard2 my shop has been building as a replacement for part of the old FubuMVC framework. I wrote about the general vision and rationale here.

Earlier today I made a v0.7.0 release of Jasper and its related extensions. The pace of development has kicked back up because we’re getting ready to start doing load and chaos testing with our QA folks later this week and we’re already transitioning some smaller, low volume systems to Jasper. The highlights this time are:

  • A lot of optimization for the “cold start” time, especially if you’re using Jasper in combination with ASP.Net Core. I collapsed the ASP.Net Core support back to the core library, so this post is already obsolete.
  • The integration with ASP.Net Core is a lot tighter. For example, Jasper is now using the ASP.Net Core logging under its covers, the ASP.Net Core IHostedService, and just generally plays nicer when used in combination with ASP.Net Core applications.
  • Jasper now has some support for stateful sagas, but only with Marten-backed persistence. I’ll blog about this one soon, and there will be other saga persistence options coming fairly soon. Sql Server backed persistence at a bare minimum.
  • Finer grained control over how certain message types are published
  • Mild improvements to the Marten integration. Again, Jasper isn’t hard coupled to Marten and Postgresql, but it’s just been easy to prove out concepts with Marten first.
  • More command line usages that I’m showing in the rest of this post;)

Command Line Integration

First off, let’s say that you have a simple Jasper application that listens for incoming messages at a designated port configured with this class:

public class SubscriberApp : JasperRegistry
    public SubscriberApp()
        // Listen for incoming messages via the
        // built in, socket transport in a 
        // fire and forget way at port 2222

To run your Jasper application as a console application, you can use the Jasper.CommandLine library as a quick helper that also adds some diagnostic commands you may find helpful during both development and deployment time. Using your SubscriberApp class above, you can bootstrap your application in a console application like this:

class Program
    static int Main(string[] args)
        return JasperAgent.Run(args);

Once that’s done, you can immediately run your application from the command line with dotnet run, which would give you some output like this:

Running service 'SubscriberApp'
Application Assembly: Subscriber, Version=, Culture=neutral, PublicKeyToken=null
Hosting environment: Production
Content root path: [the IHostedEnvironment.ContentRootPath value]
Hosted Service: Jasper.Messaging.MessagingActivator
Hosted Service: Jasper.Messaging.NodeRegistration
Listening for loopback messages
Listening for messages at [url]/messages
Listening for messages at [url]/messages/durable

Active sending agent to loopback://replies/
Active sending agent to loopback://retries/
Handles messages:
            [Message Type]: [Handler Type and Handler Method Name]

Now listening on: [listener Uri]
Application started. Press Ctrl+C to shut down.

Other than a little bit of contextual information, it’s about what you would get with the ASP.Net Core command line support. If you’re not familiar with the dotnet cli, you can pass command line arguments to your Program.Main() ​method by using double dashes to separate arguments that apply to dotnet run from the arguments that get passed into your main method. Using the Oakton library for parsing Linux style command arguments and flags, your Jasper application can also respond to other commands and optional flags.

Knowing all that, this:

dotnet run -- -v


dotnet run -- --verbose

will run your application with console and debug loggers, and set the minimum log level in the ASP.Net Core logging to “Debug.”

Alternatively, you can also override the log level by:

dotnet run -- --log-level Information


dotnet run -- -l Trace

where the value is one of the values in the LogLevel enumeration.

To override the environment your application is running under, you can use this flag:

dotnet run -- --environment Development

or use the “-e” short version of that.

So what, what else do you got?

You can run a Jasper application, but there’s actually quite a bit more. If you type dotnet run -- ?, you can see the other available commands:


Screen Shot 2018-04-11 at 3.53.09 PM

The “export-json-schema” and “generate-message-types” commands are from an extension library that allows you to export JSON schema documents for the known message types or generate C# classes with the necessary Jasper message type identity from JSON schema documents. The command line support is extensible, allowing you to add prepackaged commands from addon Nugets or even be exposed from your own application. I’m going to leave that to a later post or *gasp*, updated documentation.

Preview the Generated Code

If you read my earlier post on Jasper’s Roslyn-Powered “Special Sauce,” you know that Jasper internally generates and compiles glue code to handle messages or HTTP requests. To help troubleshoot applications or just to understand the interplay between message handlers and any configured middleware, you can use this command to either list out the generated code or export it to a file:

dotnet run -- code -f export.cs


Check out the IoC Container Configuration

As a long time IoC tool author and user, I’m painfully aware that people run into issues with service registrations being incorrect or using erroneous lifecycles. To help ease those issues, Jasper allows you to see the service registrations of your entire application with this command:

dotnet run -- services

This is just displaying the output of the Lamar WhatDoIHave() report, similar to StructureMap’s WhatDoIHave() functionality.

Validate the System

As part of deployment or maybe even local development, you can choose to just start up the application, run all the registered environment checks, and verify that all the known message handlers and HTTP routes can be successfully compiled — with oodles of ugly red textual output if any check along the way fails. That’s done with dotnet run -- validate.


Manage Subscriptions

It’s admittedly kind of boring and I’m running out of time before I need to head home, but there is a dotnet run -- subscriptions command that you can use to manage message subscriptions at deployment or build time that’s documented here.


Next up:

I’ll get a decent, business facing example of Jasper’s stateful saga support.


Integrating Jasper into ASP.Net Core

Continuing a blog series on Jasper functionality:

  1. Jasper’s Configuration Story 
  2. Jasper’s Extension Model
  3. Integrating Marten into Jasper Applications
  4. Durable Messaging in Jasper 
  5. Integrating Jasper into ASP.Net Core (this one)
  6. Jasper’s HTTP Transport
  7. Jasper’s “Outbox” Support within ASP.Net Core Applications

There will be some need for completely headless services written with Jasper that rely strictly on TCP connections or yet to come queueing transports, but I expect that most of the systems at work where we’ll use Jasper will be within ASP.Net Core applications.

Moreover, as a nasty lesson learned from my hubristic attempts at creating a freestanding development ecosystem with FubuMVC, Jasper is meant to be merely a good citizen within the greater server side ASP.Net Core ecosystem. In regards to this blog post, that means using as much of the standard Hosting model as possible. For example, Jasper supports the IHostedService model from ASP.Net Core out of the box for long running background services or startup and shutdown actions.

As of Jasper 0.6, I pulled the HTTP support and ASP.Net Core integration into a separate Jasper.Http Nuget. This might feel like the tail wagging the dog, but I really only did this to optimize the core Jasper testing suite because bootstrapping ASP.Net Core on every integration test was slowing the automated build down too much. If I can find a way to optimize or at least parallelize much more of the bootstrapping with the messaging, I will consider merging things back together again later.

When Jasper is integrated into an ASP.Net Core system, it:

  • Adds more service registrations to the application
  • Bootstraps the JasperRuntime object and places that within the container so that the Jasper transports will be cleanly shut down when the IWebHost is disposed
  • Replaces the built in DI container with Lamar (Jasper only works with Lamar at this point)
  • Jasper also sneaks in some ASP.Net Core middleware to add its own routes into the application, which I’ll show off in the next post about Jasper’s HTTP messaging transport

All of this is documented in the Jasper Getting Started page and in the specific documentation for ASP.Net Core integration.

Longer term, I might try to move Jasper closer to the existing ASP.Net Core bootstrapping mechanisms.

Bootstrapping ASP.Net Core the Idiomatic Jasper Way

The first option is really about adding HTTP support to an idiomatic Jasper application. In this case, you just use the JasperHttpRegistry from the Jasper.Http library as the base class for your application definition like so:

public class AppWithMiddleware : JasperHttpRegistry
    public AppWithMiddleware()
        // Do the normal stuff you do to configure
        // service registrations, configuration, and
        // messaging support

        Http.Configure(app =>

            // Explicitly control the order in which the Jasper
            // middleware is placed within the ASP.Net Core
            // pipeline. 

            // Just to show how you can configure ASP.Net Core
            // middleware that runs after Jasper's RequestDelegate,
            // but do note that Jasper has its own default "not found"
            // behavior
            app.Run(c =>
                c.Response.StatusCode = 404;

                return c.Response.WriteAsync("Not found");

A couple things to note:

  • The Http property in the class shown above is just the IWebHostBuilder interface you’re already used to if you use ASP.Net Core today
  • If the call to IApplicationBuilder.AddJasper() is omitted, Jasper will add its own middleware to the very end of the pipeline
  • The HTTP bootstrapping in the idiomatic model is somewhat parallelized with the messaging support bootstrapping
  • I’d argue that this usage makes the ASP.Net Core StartUp conventional configuration model unnecessary, but you’re perfectly able to continue using that if you want.

I hope to do more optimizations to the cold startup time in the future for the idiomatic Jasper approach that would make this option be more attractive. Right now, the biggest reason to use this approach over the following is to be able to use Jasper’s console application harness and Storyteller integration.


Adding Jasper to an Existing ASP.Net Core System

You can also add Jasper to an existing ASP.Net Core system using its idiomatic bootstrapping approach. In this case, you still start with the JasperHttpRegistry base class from the Jasper.Http library, but you mostly use this to configure the messaging support:

public class SimpleJasperBusApp : JasperHttpRegistry
    public SimpleJasperBusApp()
        // Enable the HTTP messaging transport
        // Listen for TCP messages at port 2222

Then, to add the Jasper support to your ASP.Net Core application, you would add these calls:

var builder = new WebHostBuilder();
    // This *has* to be the last call 
    // to your IWebHostBuilder

theHost = builder.Build();


I hate this from a usability perspective, but for right now, the call to UseJasper() has to be added after any other IStartUp registration including the UseStartup<T>() method. You still have the same ability to explicitly control the order of the Jasper middleware within your ASP.Net Core middleware pipeline.