{"id":10690,"date":"2023-07-10T09:38:58","date_gmt":"2023-07-10T13:38:58","guid":{"rendered":"https:\/\/www.redline13.com\/blog\/?p=10690"},"modified":"2023-10-12T10:46:35","modified_gmt":"2023-10-12T14:46:35","slug":"jmeter-open-model-thread-group","status":"publish","type":"post","link":"https:\/\/www.redline13.com\/blog\/2023\/07\/jmeter-open-model-thread-group\/","title":{"rendered":"JMeter Open Model Thread Group"},"content":{"rendered":"

In previous blog posts we covered how the basic <\/span>Thread Group<\/span><\/a><\/em> is extended to perform more advanced functionality through the <\/span>Custom Thread Groups<\/span><\/a><\/em> package, and other similar plugins such as the <\/span>Arrivals Thread Group<\/em><\/span><\/a>.\u00a0 One that we have yet to discuss is the <\/span>Open Model Thread Group<\/span><\/i><\/a>.\u00a0 Presently, this built-in thread group is still marked as experimental, however it is available and used in current production releases in JMeter<\/a>.<\/span><\/p>\n

Conceptually the Open Model Thread Group<\/em> is similar to many of the Custom Thread Groups<\/em> in that it allows the test designer to create a load profile defining sustained durations of throughput to a target test application. The primary difference is in the programmatic nature of how these profiles are defined.<\/p>\n

<\/a>Configuring the Open Model Thread Group<\/h3>\n

For the Open Model Thread Group<\/em>, the basic configuration takes on the following format:<\/p>\n

rate(n<\/em>\/sec) \u2026 random_arrivals(x<\/em> min) \u2026 rate(n<\/em>\/sec)<\/strong><\/pre>\n
Using the above notation, the rate()<\/code> functions at the beginning and end specify a change in request rates, while the random_arrivals()<\/code> function specifies duration over which this change should occur. Valid time units are \u201csec<\/strong>\u201d or \u201cs<\/strong>\u201d for seconds<\/em>, \u201cmin<\/strong>\u201d or \u201cm<\/strong>\u201d for minutes<\/em>, and \u201chour<\/strong>\u201d or \u201ch<\/strong>\u201d for hours<\/em>. Our configuration can have multiple lines, with each configuration line defining a sequential point in time for our test.<\/p>\n
\"The
The load profiles for the Open Model Thread Group are defined using notational command expressions.<\/figcaption><\/figure>\n
For example, we can specify the following configuration:<\/p>\n
rate(0\/s) random_arrivals(300 s) rate(10\/s)<\/strong>\nrandom_arrivals(3600 s)<\/strong>\nrate(10\/s) random_arrivals(300 s) rate(0\/s)<\/strong><\/pre>\n
This configuration will produce the following load profile:<\/p>\n
\"Example
Example of an Open Model Thread Group load profile.<\/figcaption><\/figure>\n
<\/a>Advantages of the Open Model Thread Group<\/h3>\n
When compared to similar profiling thread groups offered in the <\/span>Custom Thread Groups<\/span><\/i> package for JMeter, the <\/span>Open Model Thread Group<\/span><\/i> offers the ability for the load profile to be scripted.\u00a0 Highly complex load profiles can be defined in just a few lines of configuration.\u00a0 Here is an example using <\/span>Groovy<\/span><\/i> scripting<\/span><\/a>:<\/span><\/p>\n
${__groovy((1..10).collect {\u00a0<\/b>\n \u00a0\u00a0\u00a0\"rate(\" + it*10 + \"\/sec) \" +\u00a0<\/b>\n \u00a0\u00a0\u00a0\"random_arrivals(10 sec) \" +\u00a0<\/b>\n \u00a0\u00a0\u00a0\"pause(1 sec)\"\u00a0<\/b>\n}.join(\" \"))}<\/b><\/pre>\n
Large changes in scalability achieved by small modifications.\u00a0 In addition, these load profiles can be made dynamic with the use of <\/span>Groovy<\/span><\/i> scripting as shown in the example above.\u00a0 The <\/span>Open Model Thread Group<\/span><\/i> is intelligent enough to be able to interpret many scripts and provide a profile view even when variables are used:<\/span><\/p>\n
\"View
View of Open Model Thread Group user interface within JMeter.<\/figcaption><\/figure>\n
\n
Did you know that RedLine13 offers a full-featured, time-limited free trial? Sign up now<\/a> and start testing today!<\/p>\n","protected":false},"excerpt":{"rendered":"
In previous blog posts we covered how the basic Thread Group is extended to perform more advanced functionality through the Custom Thread Groups package, and other similar plugins such as the Arrivals Thread Group.\u00a0 One that we have yet to discuss is the Open Model Thread Group.\u00a0 Presently, this built-in thread group is still marked as experimental, however it is available and used in current production releases in JMeter. Conceptually the Open Model Thread Group isRead More →<\/a><\/p>\n","protected":false},"author":11,"featured_media":10691,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,7],"tags":[283,628,634,318,633,424,630],"class_list":{"0":"entry","1":"post","2":"publish","3":"author-dkoziel","4":"post-10690","6":"format-standard","7":"has-post-thumbnail","8":"category-blog","9":"category-jmeter","10":"post_tag-jmeter","11":"post_tag-jmeter-plugins-2","12":"post_tag-load-profiling","13":"post_tag-load-testing","14":"post_tag-open-model-thread-group","15":"post_tag-redline13","16":"post_tag-thread-groups"},"yoast_head":"\nJMeter Open Model Thread Group - RedLine13<\/title>\n<meta name=\"description\" content=\"JMeter Open Model Thread Group is similar to other JMeter Custom Thread Groups, but load profiles are defined programmatically.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.redline13.com\/blog\/2023\/07\/jmeter-open-model-thread-group\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"JMeter Open Model Thread Group - 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