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ActiveMQ architecture and key metrics
Re: queued messages more than dequeued. The dequeue count for Topics is based on the numbers of subscribers, so it will be higher than the enqueue count when more than one subscriber is active. Unlike Queues, statistics on Topics are generally less useful than those on the individual subscriptions. But there are more than one connected and it is not as I expect one subscriber one ack two subscriber two ack??
It is not linear isn't it? Tim Bain. It wasn't clear in your second email what you were asking. To re-iterate what Art said, for Topics the enqueue count goes up once per message and the dequeue count goes up once per message per subscriber that consumes that message.
This can mean that for N consumers, you'll get N dequeues for each enqueued message if each message matches the selector for each consumer. Or it can mean that you'll get 0 dequeues if each message fails to match the selector for each consumer.
Or it can mean anything in between, depending on the specifics of how each message matches up against the selectors for each consumer. And of course a message that is still in the consumer's dispatch queue won't yet be counted as dequeued though it will be once the consumer actually consumes itso that's a second reason that the dequeue count could sometimes be less than you'd expect. So if you have no selectors and your consumers are faster than your producers and if all consumers subscribed before the first message was sent, then yes, the dequeue count will be linear with the number of consumers.
But if you have selectors that exclude some messages for some consumers, or consumers that subscribe after messages began flowing, or consumers that are running slow and have messages in their pending queues, then the dequeued count won't be linear.
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Raw Blame History. TLSConfig if err! Itoa a. Parse a. URL if err! HasPrefix u. NewRequest "GET"unil if err! SetBasicAuth a. Usernamea. Do req if err! Close if resp. ReadAll resp. TrimSpace queue. DequeueCount acc. DequeueCounter acc. GetMetrics a. QueuesURL if err! TopicsURL if err! SubscribersURL if err!Supported OS:.
Note : If you are running a ActiveMQ version older than 5. We recommend using an Oracle-provided JVM. Follow the instructions below to configure this check for an Agent running on a host. For containerized environments, see the Containerized section. Configure the agent to connect to ActiveMQ.
ActiveMQ Command Line Tools Reference
Edit activemq. See the sample activemq. Restart the agent. Collecting logs is disabled by default in the Datadog Agent, enable it in your datadog. Add this configuration block to your activemq. Restart the Agent. For containerized environments, see the Autodiscovery Integration Templates for guidance on applying the parameters below.
Collecting logs is disabled by default in the Datadog Agent. To enable it, see Kubernetes log collection documentation. By default, there is a limit of metrics. If you require additional metrics, contact Datadog support. For containerized environments, see the Autodiscovery with JMX guide.
Home Docs API. ActiveMQ Agent Check. On average the amount of time ms that messages remained enqueued. Shown as millisecond. The max the amount of time ms that messages remained enqueued. The min the amount of time ms that messages remained enqueued. The total number of messages sent to a queue since the last restart. Shown as message. The total number of messages removed from a queue acknowledged by consumer since the last restart. The total number of messages sent to a topic since the last restart.
The total number of messages removed from a topic acknowledged by consumer since the last restart. The number of messages dispatched that are awaiting acknowledgement.Practice Fusion. I wanted to see queue depth, enqueue rate, and dequeue rate as they fluctuate throughout the day and week. This is useful in a number of areas, including:.
AMQ offers an admin screen with basic queue information, including queue depth and total number of messages enqueued and dequeued. I wrote a simple Windows service to poll AMQ and publish queue metrics as performance counters.
This in turn can feed into any number of reporting tools, as well as simply providing straightforward, immediate insight via PerfMon. This is perhaps the simplest queue metric there is: how many pending messages are in the queue?
We can set alerts to trigger when queue depth gets too high. This can occur when there is a planned or unplanned outage in a downstream service but the upstream service is still running and publishing messages. It can also occur if there is an application defect in the downstream service that impacts its ability to process messages. Change in queue depth can be an important data point as well.
If queue depth is steadily increasing, it means more messages are being published than are being processed, which could indicate that the downstream component is having a problem or needs to be scaled out. If queue depth is steadily decreasing, it means the downstream component is catching up. In the case of high queue depth, how do we know what number of messages is too high?
For service A, which processes messages very quickly, a queue depth of 50, may be perfectly normal. For service B however, which processes messages much more slowly, a queue depth of 20 may signal a problem. How can we easily distinguish between these two states? In the case of changing queue depth, is there a way to predict how long it will take the system to fully catch up?
Is there a way to measure the queue latency the amount of time a message waits in the queue before being processed? The answer to the above questions lies in enqueue rate and dequeue rate. Enqueue rate is the rate at which messages are being added to the queue.
This can be measured as an instantaneous rate in terms of messages per minute by periodically polling the administrative interface and calculating the change in enqueue count across the polling interval time span.
What does this metric tell us? A positive enqueue rate indicates that the upstream system is publishing messages. By looking at the average and maximum enqueue rates over a day, we get a sense of how active the upstream system is, or how much demand it is feeding into the pipeline.Download JavaDocs More Source Forums Support.
In versions prior to 5. As of ActiveMQ 5. The syntax of each task remains as described below. Note also that the activemq command is still supported. Command Line Tools activemq - runs an activemq broker activemq-admin - manages a broker instance In versions prior to 5. For Unix platform it is valid for broker versions prior to 5. With version 5. Script Name activemq.
Version Option --version activemq --version Display the activemq version information. Example Description activemq Runs a broker using the default 'xbean:activemq. Task Name stop Task Usage activemq-admin stop [options] [broker names] Description Script to stop a running activemq broker. This task requires that JMX is enabled. Not set by default. It assumes that there is only one running broker.
Example Description activemq-admin list Lists the names of all running brokers in the default JMX context. This script requires that JMX is enabled. Refer to the mbean reference table below for details. If the view is omitted, all attributes and information will be displayed. Example Description activemq-admin query Display all attributes and object name information of all registered mbeans in the default JMX context. Task Name bstat Task Usage activemq-admin bstat [broker name] Description Predefined query script that displays useful statistics regarding a broker and its components.
Example Description activemq-admin bstat Display useful statistics for all registered brokers in the default JMX context. Place the entire selector criteria in double quotes " ". You can use wildcard queries by enclosing the string message property in ' '. Other than using wildcard queries to filter string properties, other queries follows the message selector format. The header view shows all the standard JMS message headers.
The custom view shows all the custom fields added to each JMS message. The body view shows the message body of the JMS message. It allows you to select specific attributes from the JMS and custom headers.
You could add the tags header: and custom: to explicitly specify where the attribute belongs to.
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Before configuring the extension, please make sure to run the below steps to check if the set up is correct.
Telnet into your activemq server from the box where the extension is deployed. You may want to validate the yaml file using a yaml validator.
Configure the path to the config. Below is the sample.
How does a Queue compare to a Topic
Note : By default, a Machine agent or a AppServer agent can send a fixed number of metrics to the controller. To change this limit, please follow the instructions mentioned here. For eg. Please visit this page to get detailed instructions on password encryption.
The steps in this document will guide you through the whole process. Workbench is an inbuilt feature provided with each extension in order to assist you to fine tune the extension setup before you actually deploy it on the controller. Please review the following document on How to use the Extensions WorkBench.
Please look at the troubleshooting document and make sure that everything is followed correctly. If after going through the Troubleshooting Document you have not been able to get your extension working, please file a ticket and add the following information.Search everywhere only in this topic. Advanced Search. Classic List Threaded. Message Dequeue count in jconsole 0 even after messages are recieved and consumed by subscribers.
Hi, I have producer which constantly is sending messages to the topic and i can see that messages are enqueued in the topic and dispatched also and i see that there are subscribers which are receiving messages.
The problem is that the dequeue count in jconsole is still shown as zero even though the subscribers are receiving messages. Has anybody faced a similar problem before? Please help me, I am really stuck on this. Thanks, Abhi. Re: Message Dequeue count in jconsole 0 even after messages are recieved and consumed by subscribers. The dequeue count increases for non-durable subscribers session transacted was true. The dequeue count does not increase for durable subscribers session transacted was true and other counts like enqueue, dispatch increases normally.
How is this possible? Is this an expected behavior? There is no documentation regarding this. Ideally, i would expect the dequeue count to increase in case of durable subscribers also.
Thanks for the reply. I am looking at the topic mbean. The dequeue count in topic mbean is 0 even if the subscribers is receiving and processing messages. Does this mean that messages are not removed from the topic and are still available? How come dequeue counter is not zero in cases where I have non-durable subscribers? What is the difference here? I am not able to understand this.
Topics never store messages. Inside the broker, messages produced to Topics are dispatched to the Topic subscriptions, which themselves may store messages. So, the dequeue count on the Topic has little meaning. Thanks for reply artnassef.
Can anyone explain this behavior? Can anybody from ActiveMQ team explain this behavior?
There really isn't a good explanation for that as far as I can tell. The regular Topic Subs make a call back to the destination Thanks for reply christian. Yeah it would be good if the metrics work in same way for both durable and non-durable subscribers. It would also be nice if it was documented somewhere in ActiveMQ docs as I couldn't find any information about this behavior in ActiveMQ docs. Can u open a jira for this?
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