What are the different processing strategies in mule?
The processing strategy can be: Synchronous Flow Processing Strategy : Mule processes messages in a single thread. Queued-Asynchronous Flow Processing Strategy : Mule uses a queue to decouple the receiver thread from the rest of the flow. For the majority of use cases, the implicit strategy selected by Mule is optimal.
What is synchronous and asynchronous flow processing in mule?
Queued-Asynchronous Flow Processing Strategy : Mule uses a queue to decouple the receiver thread from the rest of the flow. Synchronous Flow Processing Strategy: This is used to process messages in the same thread that initially received the message.
How can I fine-tune mule's flow processing?
If Mule has applied a queued-asynchronous flow processing strategy, you can fine-tune it to adjust how it behaves. Note that you can only fine-tune a queued-asynchronous strategy; you cannot do any fine-tuning for a synchronous flow.
What is queue in mule framework?
Queued-Asynchronous Flow Processing Strategy : Mule uses a queue to decouple the receiver thread from the rest of the flow. For the majority of use cases, the implicit strategy selected by Mule is optimal.
How does Mule work?
What is non blocking in Mule?
What is synchronous approach?
How to create an asynchronous flow?
What is queued asynchronous flow processing?
What is a flow processing strategy?
How to force a flow to be synchronous?
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mule - Processing strategies - Stack Overflow
By default mule sets the processing strategy for each flow ,which is optimal for most cases. It applies synchronous processing strategy (process message in single thread) depending upon exchange pattern (request response) of your flow , or if your flow uses transaction.
Threading and Asynchronous Processing | MuleSoft Documentation
All created Schedulers must be guaranteed to eventually invoke the stop() method. Invocation of this method should be tied to the lifecycle of the component that owns it. For example, if the Scheduler is owned by a configuration element, then that component should implement the Stoppable interface and invoke it as part of its own stop() call. Sources should do it during the onStop() method and ...
Asynchronous Message Processing with Mule | MuleSoft Blog
Reading Time: 5 minutes Processing messages asynchronously is an important technique when developing integration applications. Asynchronous applications are typically easier to scale, allow for the implementation of reliability patterns and sometimes better reflect use cases in the real world..Mule, not surprisingly, offers a wealth of opportunities to process messages asynchronously.
What is mule processing?
By default mule sets the processing strategy for each flow ,which is optimal for most cases. It applies synchronous processing strategy (process message in single thread) depending upon exchange pattern (request response) of your flow , or if your flow uses transaction. For other scenario it uses asynchronous processing strategy.
Is Mule 4 a task oriented execution model?
Would suggest to use Mule 4 for best performance as Mule 4 includes a new execution engine that is based on a non-blocking runtime. This is a task-oriented execution model allowing you to take advantage of non-blocking IO calls and avoid performance problems due to incorrect processing strategy configurations.
What is flow reference in Mule 3?
In Mule 3, Flow Reference was added to let flows directly reference one another without a transport in the middle.
What is a flow processing strategy?
A flow processing strategy determine s how Mule implements message processing for a given flow.
What is flow without message source?
They can be synchronous or asynchronous. Flows without message sources are sometimes called private flows.
When is a flow set to synchronous?
A flow is set to synchronous if the message source is request-response.
How many idle threads does a flow have?
The flow's thread pool is elastic and will have one idle thread that is never used.
What is the default streaming strategy in Mule 4?
File storage is the default streaming strategy in Mule 4.
How does Mule save its content?
As a component consumes the stream, Mule saves its content into a temporary buffer. The runtime then feeds the component from the temporary buffer, ensuring that each component receives the full stream, regardless of how much of the stream was already consumed by any prior component. This happens automatically and requires no special configuration by you, which prevents the need to find workarounds to save the stream elsewhere so you can access it again. This configuration automatically fixes the first two Mule 3 examples outlined above.
What is mule parallel access?
All repeatable streams support parallel access, which means that you don’t need to worry about whether two components are trying to read the same stream when each component is running on a different thread. Mule automatically ensures that when component A reads the stream it doesn’t generate any side effects in component B. This behavior enables you to perform tasks like the one described in the third example.
How many MB is a repeatable stream?
For example, these settings configure an in-memory repeatable stream with a 512 KB initial size, which grows at a rate of 256 KB and allows up to 2000 KB (2 MB) of content in memory:
How many objects can you save in Mule Enterprise Edition?
This configuration is the default for Mule Enterprise Edition. This strategy uses a default configured in-memory buffer of 500 objects. If your query returns more results than the buffer size, Mule serializes those objects and writes them to your disk. You can configure the number of objects Mule stores in the in-memory buffer. The more objects you save in-memory, the better performance you get from avoiding writes to disk.
What is the in-memory strategy?
The in-memory strategy is the default configuration for the Mule Kernel (formerly called Mule Runtime Community Edition).
What is Mule 4?
Mule 4 introduces a framework to work with streamed data. To understand the changes introduced in Mule 4, it is necessary to understand how traditional data streams are consumed:
What is a Mule flow processing strategy?
A flow processing strategy determines how Mule implements message processing for a given flow. All Mule flows have an implicit processing strategy which Mule applies automatically: either synchronous or queued-asynchronous.
What is processing strategy ref?
Processing Strategy Ref option allow use to define the thread setting and pool exhaust behaviors.
What is synchronous fallback?
Synchronous Fallback: If an unsupported component is configured in a flow that is using the non-blocking processing strategy, then the flow reverts to the synchronous processing from the point in the flow. There may be advanced cases where this is desirable to take advantage of non-blocking for part of the flow, but typically it is best to stick with the synchronous processing strategy.
What is synchronous flow processing?
Synchronous Flow Processing Strategy: This is used to process messages in the same thread that initially received the message. After the flow receives a message, all processing, including the processing of the response, is done in that same thread.
What is non-blocking processing?
Non-Blocking Processing Strategy: This uses an evented non-blocking processing model to process requests. A single thread still handles each incoming request, but non-blocking components return this thread to the listener thread pool. Only upon obtaining and using a new thread, can processing continue.
Which message source supports non-blocking?
Only Message Source that supports non-blocking is the HTTP Connector Listener .
Does Mule automatically apply a processing strategy?
Even if you do not configure a processing strategy for your flow, the flow follows a processing strategy automatically applied by Mule. The processing strategy can be:
How does Mule work?
Mule has traditionally always used a threaded processing model for handling incoming requests from a Message Sources using the request-response Message Exchange Pattern . This means that the whole Mule Flow, both request and response phases, are executed using the same thread. This same thread is also used to send the response back to the client. This threaded request-response processing is used whenever the Fine-Tuning a Queued-Asynchronous Processing Strategy is used, either explicitly or by Mule implicitly selecting this strategy when one isn’t specified. This processing model can more easily be shown with this diagram:
What is non blocking in Mule?
Non-Blocking: You can use the new Non-Blocking Processing Strategy strategy available in Mule 3.7 and newer to take advantage of NIO with the HTTP Connector and avoid having threads blocked while waiting for HTTP responses , which also requires less tuning. Note: Not all components are currently supported, unsupported components cause a flow to fall back to synchronous processing.
What is synchronous approach?
The synchronous approach is used to process messages in the same thread that initially received the message. After the flow receives a message, all processing, including the processing of the response, is done in that same thread (with the exception of asynchronous scopes like Async and For Each.)
How to create an asynchronous flow?
Create an asynchronous flow by wrapping a flow-ref element in an async scope so that the contents of the flow will be processed asynchronously with the triggering flow
What is queued asynchronous flow processing?
Queued-Asynchronous Flow Processing Strategy : Mule uses a queue to decouple the receiver thread from the rest of the flow.
What is a flow processing strategy?
A flow processing strategy determine s how Mule implements message processing for a given flow.
How to force a flow to be synchronous?
To force a flow to be synchronous, add the processingStrategy attribute to the flow that you want to change and set it to synchronous.
