This request name is important because it will act as a key when computing stats for the reports. If the same name appears in multiple places in a Simulation, Gatling will consider those requests are of the same type and their statistics will be aggregated.
HTTP requests have to be passed to the exec method in order to be attached to the scenario and be executed. Gatling provides built-ins for the most common methods.
Those are simply the method name in minor case:. Gatling also supports custom methods e. Frameworks and developers often pass additional information in the query, which is the part of the url after the? Those are named query parameters. As all method parameters are Expression[T]i. This function will be evaluated against the user session every time this one pass through it. For a deeper look at Expression see dedicated section here.
HTTP protocol uses headers to exchange information between client and server that is not part of the message stored in the body of the request, if there is one. Headers keys are defined as constants usable in the scenario, for example: HttpHeaderNames. You can find a list of the predefined constants here. Headers can also be defined on the HttpProtocol.
For example, you might want to generate some HMAC header. This can only happen after Gatling has resolved the request, e. You can typically use its attributes to compute a new header that you will add to the existing headers. Authentication can also be defined on the HttpProtocol. Proxy can also be defined on the HttpProtocol. You can tell Gatling to override the default computed virtual host with the method virtualHost virtualHost: Expression[String] :. Virtual Host can also be defined on the HttpProtocol.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. This is an example test using Gatling. A minimal HTTP server is used as an example system under test.
Gatling simulations are written in Scala. Start the example app on port The server simply logs the request and returns any request body it receives. From the IDE, run Engine.
TIP: The Engine. The gatling-test-maven in pom. To run the tests, simply enable the profile when running mvn test command. The plugin is configured to run gatling. ExampleSimulation by default. Simply override the property simulationClass to run a different simulation.
The plugin can be configured to run all the simulations by setting the configuration property runMultipleSimulations to true. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I understand that the variable cardNumber must be added to session. There is plenty documentation stating that this is necessary. However, I have found no complete examples on how this is done correctly in the context of an execution.
I am aware that I could use a mechanism such as a feeder to move values into the session for me, but I want to do it directly and hopefully learn something in the process. From the documentation :. For those like me that are not familiar with the underscore the following also seems to work:. Learn more. Basic example for adding a value to the Gatling session needed Ask Question.
Asked 4 years, 8 months ago. Active 4 years, 8 months ago.
Viewed 18k times. Given the following Gradle 2. Active Oldest Votes. Thanks, what does the underscore represent in this case? Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name.Checks are performed on a request with the check method.
For example, on an HTTP request:. By default, Gatling follows redirects can be disabled in the protocol. If this behavior is enabled, checks will ignore intermediate responses and will target the landing response.
Targets the current page absolute URL. Useful when following redirects in order to check if the landing page is indeed the expected one. By default, it can extract 0 or 1 capture group, so the extract type is String. One can extract more than 1 capture group and define an different type with the ofType[T] extra step:. Gatling provides built-in support for extracting String tuples from Tuple2[String] to Tuple8[String].
Targets the HTTP response header of the given name. Return the full response body String. In Scala, you can use escaped strings with this notation: """my "non-escaped" string""". You can extract more than 1 capture group and define an different type with the ofType[T] extra step:. It was specified by Stefan Goessner.
You can define an different type with the ofType[T] extra step:. You can use registerJmesPathFunctions io. Gatling supports CSS Selectors. When filled, check is performed against the attribute value. Otherwise check is performed against the node text content. You can define an different return type with the ofType[T] extra step:. Specifying a Node let you perform complex deep DOM tree traversing, typically in a transform check step.
Returns a checksum of the response body. Checksums are computed efficiently against body parts as soon as they are received. They are then discarded if not needed. Returns the first occurrence. If the check targets more than a single element, find is identical to find 0.
In the case where no extracting step is defined, a find is added implicitly. Returns a given number of random matches, optionally failing is the number of actual matches is less than the expected number.Mist, das klappt leider noch nicht!
Im Moment testen wir neue Funktionen und du hast uns mit deinem Klick geholfen. Vielen Dank!
No Comments. I hope you enjoyed my first article about Gatling. The second one will go much more into detail and involves a lot of Scala code because this time, we will not only use Gatling but also extend it.
Although some community extensions already exist MQTT, Kafka … I get the impression that a lot of protocols are not covered therefore performance tests could be useful. That is why I wrote this blog post. Therefore, some classes might look different than presented here. But do not worry, this post contains the initial source code. Please note that everything within this article is based on reading the code of the existing Gatling modules official and communitythe Scala Docs and my experience working with Gatling.
So take all general statements I make with a grain of salt. Before we can start with the actual implementation, I want to cover two basics because they will appear within the example code at some point.
Because a user could use a feeder for the table names our implementation shall support the EL right from the beginning. Within the code, the EL makes things a little bit more complicated, but not too much how to use Gatling EL is explained in the documentation.
What is important for the implementation is that the EL requires us to use Expression[String] when we would use a string, e. When working with an expression, it first has to be validated. This is done by calling apply with the current session as parameter. Doing so checks whether there are any variables present in the string marked by the dollar sign and whether they are present within the session.
A validation can either be a Success or a Failure those are Gatling classes, do not mix them up with scala. Success and scala. Therefore, after applying the session, we have to check which one resulted. Depending on the value returned, we can continue. If you start with the implementation of a Gatling extension you can of course avoid using Expression and simply use strings.
But be aware that later you will have to replace all strings with expressions if you want to use variables. The StatsEngine is the class that is needed in order to log response times. You might find tutorials on the internet in which the engine is not used.Since the above does not include the karate-apache or karate-jersey dependency you will need to include that as well.
It is worth calling out that in the sample project, we are perf-testing Karate test-doubles! A truly self-contained demo. For those who use Gradlethis sample build. The approach is fairly simple, and does not require the use of any Gradle Gatling plugins.
Most problems when using Karate with Gradle occur when "test-resources" are not configured properly. As of now the Gatling concept of "throttle" and related syntax is not supported. Most teams don't need this, but you can declare "pause" times in Karate, see pauseFor. Also the concept of Gatling " groups " is not supported where you can have sub-groups within groups. However custom grouping via the nameResolver is sufficient for most teams.
Let's look at an example :. This piece is needed because Karate is responsible for making HTTP requests while Gatling is only measuring the timings and managing threads. This is optional, and is useful for teams that need more control over the "segregation" of requests described above.
You can supply a function that takes 2 Karate core-objects as arguments. The example below over-rides the "request name" with the value of a custom-header:. For convenience, if the nameResolver returns nullKarate will fall-back to the default strategy.
And HttpRequestBuilder. So any HTTP request where a karate-name header is present can be "collected" in the Gatling report under a different name. This is how it could look like in a Karate feature example :. If non-zero, this pause will be applied before the invocation of the matching HTTP request. We recommend you set that to 0 for everything unless you really need to artifically limit the requests per second. Make sure you wire up the protocol in the Gatling setUp.
If you use a nameResolvereven those names can be used in the pauseFor lookup instead of a URL pattern. Also see how to pause without blocking threads if you really need to do it within a Karate feature, for e. This declares a whole Karate feature as a "flow". Note how you can have concurrent flows in the same Gatling simulation. In the code above, note how a single Scenario or multiple can be "chosen" by appending the tag name to the Feature path.
This allows you to re-use only selected tests out of your existing functional or regression test suites for composing a performance test-suite.
If multiple Scenario -s have the tag on them, they will all be executed. The order of execution will be the order in which they appear in the Feature. The above Tag Selector approach is designed for simple cases where you have to pick and run only one Scenario out of many.
Sometimes you will need the full flexibility of tag combinations and "ignore". The karateFeature method takes an optional vararg set of Strings after the first feature-path argument.
For example you can do this:. So you can refer to the user-id for the thread as follows:.Feeder is a type alias for Iterator[Map[String, T]]meaning that the component created by the feed method will poll Map[String, T] records and inject its content.
The structure DSL provides a feed method. You can also feed multiple records all at once. If so, attribute names, will be suffixed. When using the default queue strategy, make sure that your dataset contains enough records. If your feeder runs out of record, behavior is undefined and Gatling will forcefully shut down.
For example:. This location can be overridden, see Configuration. The exploded structure might no longer be there at runtime, all the more when deploying with FrontLine. Our parser honors the RFC specification. This mode works best with reasonably small files that can be parsed quickly without delaying simulation start time and easily sit in memory. This behavior was the default prior to Gatling 3.
Data is then read by chunks. The default size of this buffer is 2, and can be changed. Default behavior is an adaptive policy based on unzipped, sharded file size, see gatling. Gatling will use eager below threshold and batch above. If your files are very large, you can provide them zipped and ask gatling to unzip them on the fly:.
For example, if you have a file with 30, records deployed on 3 nodes, each will use a 10, records slice. Do not forget to add the required JDBC driver jar in the classpath lib folder in the bundle. Gatling supports a feeder that reads data from a Sitemap file.
Note that since v2. It is possible to load millions of keys in a few seconds in Redis and Gatling will read them off memory directly.
For example: a simple Scala function to generate a file with 1 million different urls ready to be loaded in a Redis list named URLS :. For example, a csv feeder would give you only Strings, but you might want to convert one of the attribute into an Int. Sometimes, you just might want to reuse or convenient built-in feeders for custom needs and get your hands on the actual records.
Beware that each readRecords call will read the underlying source, eg parse the CSV file. Sometimes, you could want to filter the injected data depending on some information from the Session. Consider the following example, where you have 2 files and want to inject data from the second one, depending on what has been injected from the first one. Gatling documentation Session Feeders Feeder is a type alias for Iterator[Map[String, T]]meaning that the component created by the feed method will poll Map[String, T] records and inject its content.
Note You can also feed multiple records all at once. Warning When using the default queue strategy, make sure that your dataset contains enough records. This strategy is the recommended one. This strategy should only be used when using the Gatling bundle.
Use this strategy if you want your feeder files to be deployed separately. The only difference is that header fields get trimmed of wrapping whitespaces. Gatling can read data from Redis using one of the following Redis commands.