Skip to content
JMeter Assertions: The Ultimate Guide

JMeter Assertions: The Ultimate Guide

Whether you want to:

  • Check if the server response contains a specific string,
  • Or Verify the server returned an HTTP 200 OK,
  • Or check the value of a json field (using JsonPath like $.store..price).

Assertions are the way to go.

The problem is: you don't know how to get started. And the number of available assertions is overhelming. No worries!

This ultimate guide on JMeter Assertion explores every single assertion type through comprehensive examples. You'll know when and how to use each kind of assertion wisely. Once you've read this guide, assertions won't have any secrets for you anymore! Let's go.

Need professional services?
Rely on our Expertise

General Concepts

In this section, we cover the concepts which apply to all assertions. None of them depends on the type of assertion you are going to use.

Supported Assertions

JMeter Assertions Menu

JMeter Assertions are a must have to perform additional checks on the result of a Sampler. Assertions are part of the Post-Processors elements family.

JMeter offers a wide variety of assertions which can be used in a number of different scenarios:

Type Usage
Response Assertion Apply a string pattern to verify against the server response
Duration Assertion Check the response was received within a given elapsed time
Size Assertion Check the size of the server response contains the wanted number of bytes
XML Assertion Check the response is a valid XML document
Beanshell Assertion Execute your own logic using Beanshell scripting
MD5Hex Assertion Allows to check the MD5 hash of the response data (great for static files)
HTML Assertion Check html response syntax using JTidy
XPath Assertion Tests if a document is well-formed, with possible DTD validation, or putting the document through JTidy and testing with XPath
XML Shema Assertion Validate an XML response against an XML schema
JSR223 Assertion Run your own code logic using a JSR223 Script
Compare Assertion Compares results between themselves
SMIME Assertion Evaluate the sample results from the Mail Reader Sampler
JSON Assertion Execute JsonPath expressions and validate Json documents

Which assertion should you use? It boils down to the kind of response you have to check.

Assertion Scope

Assertion Scope

Assertion Scope defines to which sample results the assertion applies to:

  • Main Sample only: applies only on the result of a sampler (in most of the cases an HTTP Request),
  • Main Sample and sub-samples: some samplers can generate sub-samples. For example, It happens when enabling Retrieve All Embedded Resources on HTTP Request samplers. A sub-sample result is generated per resource (CSS, Images, Javascript etc...),
  • Sub-Samples Only: apply to sub-sample results only,
  • JMeter Variable: apply the assertion on the value of a variable (like ${foo}).

In most situations, you will want to use the Main Sample Only option. Assertions can rarely be applied on both the main result and sub-results.

Assertion Location

As we said before, Assertions are a special kind of Post-Processors.

Assertions apply to samplers defined at same level or below them. If none, it applies to the parent sampler only.

Let's use some examples to understand the concept:

Assertion Location 1

  • In the case above, the Assertion only applies to Sampler A,

Assertion Location 2

  • In this case, the assertion applies to Sampler A and Sampler B,

Assertion Location 3

  • In this case, the assertion applies to Sampler A and Sampler B and Sampler C.

The best advice I can give is: Keep Things Simple and Stupid. Define assertions as child of samplers and avoid trying to be too smart. The easier it's to understand the more maintainable the script will be.

Also, when an assertion fails, the failure is spread to the logic controller surrounding the sampler. That means failing assertions cause the associated controllers to fail too.


You must be aware that most assertions are CPU and memory hungry. The following table defines how much resources each type of assertion needs:

Assertion CPU/Memory Usage Notes
Response Assertion Moderate Regular Expressions
Duration Assertion Low
Size Assertion Low
XML Assertion High Builds XML DOM Documents
Beanshell Assertion Variable Depends on the script logic
MD5Hex Assertion Low
HTML Assertion High Parses the HTML Response
XPath Assertion High Builds XML DOM Documents
XML Schema Assertion High Builds XML DOM Documents
JSR223 Assertion Variable Depends on the script logic
Compare Assertion High Parses responses and compares them
SMIME Assertion Moderate
Json Assertion High Parses the Json document

Each color has its own signification:

  • Low: can be freely used, performance overhead is very low,
  • Moderate: use them sparingly especially on big server response (like hundreds of KBs, several MB),
  • High: mostly suitable only for functional testing or very light load (less than 10 concurrent users).

Optimizing Assertions usage is only a fraction of the things you can do to optimize JMeter for large scale tests. If you see the CPU / Memory usage go through the roof during a load test and have assertions, try disabling / removing those you don't need.

Scripting assertions like the Beanshell or JSR223 assertions have variable performance: it really depends on what your script checks. Also, as these don't have any scope UI setting, you must manually through scripting define on which sample results the script applies.

Assertion Results

The best way to see if an assertion fails is to use the View Results Tree listener. Of course, there are many other ways to Analyze JMeter Results.

View Results Tree

In the screenshot above, we can see the assertion failed. By clicking on the assertion, we can see the detailed error message:

Assertion error: false
Assertion failure: true

In this case, the response contained John Smith but the assertion checks it contains John Doe.

Let's now see in greater details how each assertion works!

Dummy Sampler

All the examples below are simulated using the Dummy Sampler.

JMeter JSON Dummy Sampler

It makes it easy to try out various assertions without the need to setup a remote endpoint with the correct response. Try it yourself!

Common Assertions

The following assertions are those which are used the most by Performance Engineers. Those assertions cover a wide range of use-cases. Knowing how to use them is the key to assert server responses properly.

Response Assertion

JMeter Response Assertion

JMeter Response Assertion Documentation

JMeter Response assertion is probably one of the most used JMeter assertion. It includes the following settings:

  • Field to test: Can be Text Response, Response code, Document (text) and more. Tells on which part of the server response the assertion should be applied,
  • Pattern Matching Rules: Contains, Matches, Equals, Substring with Not and Or options. By default, it checks that all Patterns to test are verified. By checking Or option, only one of the patterns to test must be true,
  • Patterns to test: string values which must be tested against the fields to test.

JMeter Response Assertion Failure

Typically, you want to make sure the response contains a specific text. In the example above, we check that the response contains John Doe.

Assertion error: false
Assertion failure: true
Assertion failure message: Test failed: text expected to contain /John Doe/

It's the most commonly used assertion for several reasons:

  • Reasonable performance impact,
  • Easy to use.

Personally, the Contains Pattern Matching Rules fills 95% of my needs. I guess the other options can be useful as well, but mostly only in very narrow use-cases.

The ability to customize the error message is a plus, definitely. That way, you can have your own message in results like JTL files and get a better understanding of what's wrong. Due to moderate cpu and memory footprint, this assertion can be used sparingly.

Duration Assertion

JMeter Duration Assertion

The Duration Assertion is especially useful to verify the application meets a certain level of performance. Typically, i'll use it to check the server responds within a reasonable amount of time. The Duration in milliseconds field lets you enter the expected server response time.Any response time above that limit will trigger an assertion error.

It can be seen as a way to enforce SLA (Service Level Agreement). Therefore, it's more of a performance alert than an assertion.

JMeter Duration Assertion Doc

Due to inexistent performance overhead, that's one of my preferred assertions too. As the response time is already calculated by JMeter, it just checks the response time against the specified value. The performance cost is close to nothing!

JMeter Duration Assertion Failure

Here is an example error message when this assertion fails:

Assertion error: false
Assertion failure: true
Assertion failure message: The operation lasted too long: It took 323 milliseconds, but should not have lasted longer than 1 milliseconds.

Due to Low cpu and memory footprint, this assertion can be used extensively.

Size Assertion

JMeter Size Assertion

The size assertion is pretty when you need to make sure the server response is always of a certain size:

  • Size in bytes: expected size in bytes,
  • type of comparison: many operators available including =, !=, >, <, >= and <=.

JMeter Size Assertion Doc

It's very simple to use. I personally use it to check the size of downloaded files like videos or music. I like to be sure the file has been fully downloaded by JMeter.

JMeter Size Assertion

In case of failure, you should see both the expected and the real response size in bytes:

Assertion error: false
Assertion failure: true
Assertion failure message: The result was the wrong size: It was 17 bytes, but should have been equal to 50 bytes.

Due to Low cpu and memory footprint, this assertion should be used extensively.

JSON Assertion

The JSON Assertion let you validate a JSON response. Let's take an example json response:

  "firstName": "John",
  "lastName" : "doe",
  "age"      : 26,
  "address"  : {
    "streetAddress": "naist street",
    "city"         : "Nara",
    "postalCode"   : "630-0192"
  "phoneNumbers": [
      "type"  : "iPhone",
      "number": "0123-4567-8888"
      "type"  : "home",
      "number": "0123-4567-8910"

Suppose we want to check that the first phoneNumbers type is iPhone. We would use the $.phoneNumbers[:1].type JsonPath Expression.

JMeter JSON Assertion

We would then configure it as following in JMeter:

  • Assert JsonPath Exists: $.phoneNumbers[:1].type,
  • Additional Assert Value: if checked, also assert the value is equal to the Expected Value,
  • Expected Value: iPhone.

Now suppose we put Samsung Galaxy in Expected Value instead.

JMeter JSON Assertion Failure

As expected, the assertion fails because the phoneNumbers first type is iPhone.

Assertion error: false
Assertion failure: true
Assertion failure message: Value expected to be 'Samsung Galaxy', but found '["iPhone"]'

For more information about how to use JsonPath, refer to our article on JMeter Json Path Extractor. It goes into much greater details about the subject.

This assertion has a High cpu and memory footprint because it parses Json responses and converts them into an object representation.

XPath Assertion

JMeter XPath Assertion

XPath is a query language for selecting nodes from an XML document. What can we do with that? It's the equivalent of JsonPath but for XML responses. Take a look at our excellent XPath Extractor Guide if you want to learn how XPath works.

This assertion is mostly suitable for SOAP Web Services.

JMeter XPath Assertion Doc

Like the XPath Extractor, it has several advanced settings like:

  • Use Tidy: enable it if the XML is not well-formed,
  • Use Namespaces: must be enabled to validate nodes like foo:singer in the example below,
  • Validate XML: make sure the XML is well-formed, fail otherwise,
  • Fetch External DTDs: download referenced XML Document Type Definitions.

Most of the time, you can leave those settings as is (all unchecked). Unless the XML to assert is invalid, the default parser is just fine.

Let's take the same XML document as example response:

<root xmlns:foo="" xmlns:bar="">
    <actor id="1">Christian Bale</actor>
    <actor id="2">Liam Neeson</actor>
    <actor id="3">Michael Caine</actor>
    <foo:singer id="4">Tom Waits</foo:singer>
    <foo:singer id="5">B.B. King</foo:singer>
    <foo:singer id="6">Ray Charles</foo:singer>

Now let's configure the XPath assertion with XPath Assertion: //actor[@id='4']. This expression is known to fail because there is no actor with id=4.

JMeter XPath Assertion

Running the assertion should fail with the following message:

Assertion error: false
Assertion failure: true
Assertion failure message: No Nodes Matched //actor[@id='4']

This assertion has a High cpu and memory usage (especially with big XML responses) because it parses XML responses and converts them to an object representation. Avoid using it during load tests.

JSR223 Assertion

JMeter JSR223 Assertion

The JSR223 Assertion is the successor to the BeanShell Assertion. It provides much more flexibility on the scripting language (it supports beanshell, groovy, java, jexl and Javascript) and is way faster than beanshell. (at the condition to use groovy)

JMeter JSR223 Assertion Doc

In most of the cases, you'll leave the extra settings (like Parameters and Script File) alone. These are mostly used when you need to share scripting functions accross multiple JMX projects. In this case, you need to share the scripts, thus make them reusable by putting the common script in a separate file.

For example, if we want to check the previous result response time with a JSR223 script, we would do the following:

def response_time = prev.getTime().toInteger();

def expected_response_time = 0;

if (response_time > expected_response_time) {
 AssertionResult.setFailureMessage("The expected response time is : " + expected_response_time + "ms but it took: " + response_time + "ms");

Of course, it will fail because we want a response time of 0ms.

JMeter JSR223 Assertion Failure

This assertion has a Variable, which means the CPU and memory usage varies depending on the logic implemented inside the script. Generally speaking, avoid heavy computation in assertions.

Less Used Assertions

XML Assertion

JMeter XML Assertion

The XML assertion is great to check if the response is a valid XML document. But, that's the only use-case of this assertion. It can be useful in functional testing when you need to check the server response is well-formed.

JMeter XML Assertion Failure

In case of error (like invalid XML response), you should see an error message like the following:

Assertion error: true
Assertion failure: true
Assertion failure message: Content is not allowed in prolog.

Due to High cpu and memory footprint, this assertion should be avoided during load tests.

XML Schema Assertion

JMeter XML Schema Assertion

This assertion allows to check an XML response is conform to a certain XML Schema DTD. I guess the usage is anecdotical, I've personally never used it.

It may be suited best for SOAP Web Services where responses must follow a strict schema.

Due to High cpu and memory footprint, it's suitable for functional testing but not load testing.

Beanshell Assertion

JMeter Beanshell Assertion

BeanShell is a lightweight scripting engine for Java. However, performances are much worse than JSR223 scripting. It's highly recommended to use the JSR223 scripting instead.

JMeter BeanShell Assertion Doc

You can for example use the following script: (very similar to Java)

Failure = true;
FailureMessage = "This is an Error Message";

And the result should be the error message configured.

JMeter BeanShell Assertion Failure

It's not straight forward to use as you need to learn the scripting language (which is very similar to Java). But, it's much more customizable than any other assertion.

A variety of variables are available directly into the script:

  • log - the Logger Object. Example: log.warn("Message"[,Throwable]),
  • SampleResult, prev: the SampleResult Object; read-write,
  • Response: the response Object; read-write,
  • Failure: boolean; read-write; used to set the Assertion status,
  • FailureMessage: String; read-write; used to set the Assertion message,
  • ResponseData: the response body (byte []),
  • ResponseCode: like 200, 404 etc,
  • ResponseMessage: e.g. OK,
  • ResponseHeaders - contains the HTTP response headers,
  • RequestHeaders: contains the HTTP request headers,
  • SampleLabel: name of the sampler,
  • SamplerData: data that was sent to the server,
  • ctx - JMeterContext with various methods to access the current thread, previous sampler and more,
  • vars: JMeterVariables to get/set variables from the script.

Need some examples? See our reusable example scripts blog post.

Due to High cpu and memory footprint, prefer the JSR223 Assertion. It's very similar but much faster to execute.

MD5Hex Assertion

JMeter MD5Hex Assertion

Performs an MD5 hash of the server response and compares it against the given Md5 hash. It perfectly fits the case you want to check a downloaded file is intact.

It has only one setting:

  • MD5Hex: enter the expected response MD5 hash.

Like explained on Wikipedia:

The MD5 algorithm is a widely used hash function producing a 128-bit hash value. Although MD5 was initially designed to be used as a cryptographic hash function, it has been found to suffer from extensive vulnerabilities.

Let's try to run it against our dummy sampler with a random md5 hash provided.

JMeter MD5Hex Assertion Failure

As expected, the assertion fails because the MD5 hashes are different.

Assertion error: false
Assertion failure: true
Assertion failure message: Error asserting MD5 sum : got c9ed4e51d70d5fb374d12e63db2e42d4 but should have been c05f1d607f5f8a72c9a58652b845e98e

As the server response must be exactly the same on every check, it's only suitable for static resources check. Any dynamic web page will probably yield an assertion error because the content is different.

Due to Moderate cpu usage, it can be used to check file integrity during small load tests.

HTML Assertion

JMeter HTML Assertion

This assertion checks the HTML response is a well-formed HTML document. The strictness level can be configured by setting Error Threshold and Warning Threshold to upper levels (other than 0). It's mostly well suited for functional testing.

Obviously, You don't want to check HTML response validity when throwing thousands of hits per second on your servers.

It can be configured with the following settings:

  • DocType: omit, auto, strict or loose. Defines whenever the HTML DocType is taken into account or not,
  • Format: HTML, XHTML or XML. Depends on the type of response to validate,
  • Errors only: ignore warnings if any,
  • Error and Warning Thresholds: set the number of tolerated errors and warnings,
  • Filename: outputs a JTidy report there.

Here is an example JTidy report:

line 1 column 1 - Error: <root> is not recognized!
line 1 column 1 - Warning: missing <!DOCTYPE> declaration
line 1 column 1 - Warning: discarding unexpected <root>
line 2 column 3 - Error: <actors> is not recognized!
InputStream: Document content looks like HTML 3.2
2 warnings, 2 errors were found!
This document has errors that must be fixed before
using HTML Tidy to generate a tidied up version.

JMeter HTML Assertion

Usually, a failure looks like:

Assertion error: false
Assertion failure: true
Assertion failure message: Tidy Parser errors:   9 (allowed 0) Tidy Parser warnings: 21 (allowed 0)

Due to High cpu and memory usage, avoid using HTML assertions during load tests. It parses HTML responses which consumes a lot of resources.

Final Words

While assertions provide a convenient way to validate server responses are as expected, you should be aware it has a cost. Most fancy assertions like JSON or XPath assertions should only be used in light load test (a few concurrent users), or in functional tests (usually one single user).

When used wisely, scripting assertions like Beanshell or JSR223 can solve problems other assertions won't even touch. But, again beware of the performance drawback: scripts should do as little computation as possible.

Load Testing is a discipline which requires a strong attention to performance. Make sure to read our guide explaining how to optimize JMeter for large scale to avoid common JMeter pitfalls.

Want to become a super load tester?
Request a Demo