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对列、订阅 —— Service Bus queues, topics, and subscriptions

作者：互联网

原文：https://docs.microsoft.com/en-us/azure/service-bus-messaging/service-bus-queues-topics-subscriptions

 

 

Azure Service Bus supports a set of cloud-based, message-oriented middleware technologies including reliable message queuing and durable publish/subscribe messaging. These brokered messaging capabilities can be thought of as decoupled messaging features that support publish-subscribe, temporal decoupling, and load-balancing scenarios using the Service Bus messaging workload. Decoupled communication has many advantages. For example, clients and servers can connect as needed and do their operations in an asynchronous fashion.

The messaging entities that form the core of the messaging capabilities in Service Bus are queues, topics and subscriptions, and rules/actions.

 

Queues

Queues offer First In, First Out (FIFO) message delivery to one or more competing consumers. That is, receivers typically receive and process messages in the order in which they were added to the queue. And, only one message consumer receives and processes each message. A key benefit of using queues is to achieve temporal decoupling of application components. In other words, the producers (senders) and consumers (receivers) don't have to send and receive messages at the same time. That's because messages are stored durably in the queue. Furthermore, the producer doesn't have to wait for a reply from the consumer to continue to process and send messages.

 

zookeeper：对列，先进先出

 

A related benefit is load-leveling, which enables producers and consumers to send and receive messages at different rates. In many applications, the system load varies over time. However, the processing time required for each unit of work is typically constant. Intermediating message producers and consumers with a queue means that the consuming application only has to be able to handle average load instead of peak load. The depth of the queue grows and contracts as the incoming load varies. This capability directly saves money with regard to the amount of infrastructure required to service the application load. As the load increases, more worker processes can be added to read from the queue. Each message is processed by only one of the worker processes. Furthermore, this pull-based load balancing allows for best use of the worker computers even if the worker computers with processing power pull messages at their own maximum rate. This pattern is often termed the competing consumer pattern.

 

kubernets && docker：cornjobs || deployments=》可扩展、负载均衡问题

 

Using queues to intermediate between message producers and consumers provides an inherent loose coupling between the components. Because producers and consumers aren't aware of each other, a consumer can be upgraded without having any effect on the producer.

对列的优势：消费者、生产者的解耦

 

 

Create queues

You can create queues using the Azure portal, PowerShell, CLI, or Resource Manager templates. Then, send and receive messages using clients written in C#, Java, Python, JavaScript, PHP, and Ruby.

 

 

Receive modes

You can specify two different modes in which Service Bus receives messages.

After the application finishes processing the message, it requests the Service Bus service to complete the second stage of the receive process. Then, the service marks the message as being consumed.

If the application is unable to process the message for some reason, it can request the Service Bus service to abandon the message. Service Bus unlocks the message and makes it available to be received again, either by the same consumer or by another competing consumer. Secondly, there's a timeout associated with the lock. If the application fails to process the message before the lock timeout expires, Service Bus unlocks the message and makes it available to be received again.

If the application crashes after it processes the message, but before it requests the Service Bus service to complete the message, Service Bus redelivers the message to the application when it restarts. This process is often called at-least once processing. That is, each message is processed at least once. However, in certain situations the same message may be redelivered. If your scenario can't tolerate duplicate processing, add additional logic in your application to detect duplicates. For more information, see Duplicate detection. This feature is known as exactly once processing.

 Note

For more information about these two modes, see Settling receive operations.

 

zookeeper锁，确保 不会丢失 消息，确保消息至少运行一次

 

Topics and subscriptions

A queue allows processing of a message by a single consumer. In contrast to queues, topics and subscriptions provide a one-to-many form of communication in a publish and subscribe pattern. It's useful for scaling to large numbers of recipients. Each published message is made available to each subscription registered with the topic. Publisher sends a message to a topic and one or more subscribers receive a copy of the message, depending on filter rules set on these subscriptions. The subscriptions can use additional filters to restrict the messages that they want to receive. Publishers send messages to a topic in the same way that they send messages to a queue. But, consumers don't receive messages directly from the topic. Instead, consumers receive messages from subscriptions of the topic. A topic subscription resembles a virtual queue that receives copies of the messages that are sent to the topic. Consumers receive messages from a subscription identically to the way they receive messages from a queue.

 

借助 对列，实现消息的 发布&订阅

from  1:1  to  1:*

 

The message-sending functionality of a queue maps directly to a topic and its message-receiving functionality maps to a subscription. Among other things, this feature means that subscriptions support the same patterns described earlier in this section with regard to queues: competing consumer, temporal decoupling, load leveling, and load balancing.

 

Create topics and subscriptions

Creating a topic is similar to creating a queue, as described in the previous section. You can create topics and subscriptions using the Azure portal, PowerShell, CLI, or Resource Manager templates. Then, send messages to a topic and receive messages from subscriptions using clients written in C#, Java, Python, JavaScript, PHP, and Ruby.

 

 

Rules and actions

In many scenarios, messages that have specific characteristics must be processed in different ways. To enable this processing, you can configure subscriptions to find messages that have desired properties and then perform certain modifications to those properties. While Service Bus subscriptions see all messages sent to the topic, you can only copy a subset of those messages to the virtual subscription queue. This filtering is accomplished using subscription filters. Such modifications are called filter actions. When a subscription is created, you can supply a filter expression that operates on the properties of the message. The properties can be both the system properties (for example, Label) and custom application properties (for example, StoreName.) The SQL filter expression is optional in this case. Without a SQL filter expression, any filter action defined on a subscription will be done on all the messages for that subscription.

For a full working example, see the TopicSubscriptionWithRuleOperationsSample sample on GitHub.

For more information about possible filter values, see the documentation for the SqlFilter and SqlRuleAction classes.

 

消息过滤问题

Java message service (JMS) 2.0 entities

The following entities are accessible through the Java message service (JMS) 2.0 API.

Learn more about the JMS 2.0 entities and about how to use them.

 

 

 

 

Next steps

For more information and examples of using Service Bus messaging, see the following advanced topics:

 

 

 

标签：Service,subscriptions,receive,Bus,messages,message
来源： https://www.cnblogs.com/panpanwelcome/p/14490211.html