Shutdown port number is searched automatically, starting from shutdown-port option value, by looking for unused ports. If selector for set-prop isn't found, taurus tries to create stringProp jmx element with last element of selector as name and sets given value for it. So you can create simple properties in jmx if it's necessary.
Scenario that has requests element makes Taurus to generate the script for underlying tools automatically. For now, this is available for JMeter and partially available for some other tools. The requests element must contain a list of requests, each with its settings and child elements assertions, extractors. Also there are additional configuration elements for requests-based scenario, described below.
Scenario is the sequence of steps and some settings that will be used by underlying tools JMeter, Grinder, Gatling on execution stage. Scenarios are listed in top-level scenarios element and referred from executions by their alias:. Note that timeout also sets duration assertion that will mark response failed if response time was more than timeout. Taurus allows you to use external CSV files for testing purposes. Here is a full list of options for this:. When random-order is false , data extraction will proceed in direct manner.
Data lines, which contain delimeters, will be read from the top down to the bottom, just the way they were written. Otherwise, the data will be extracted in a random way.
Also variable-names can be omitted. In such case the first line of CSV file will be used as variable names. In its simplest form it contains just the URL as string:. Extractors are the objects that attached to request to take a piece of the response and use it in following requests. The concept is based on JMeter's extractors. The following types of extractors are supported:.
Default value is 0 random.
Assertions are attached to request elements and used to set fail status on the response. Fail status for the response is not the same as response code for JMeter. Currently three types of response assertions are available. If sample is broken RC isn't and cause of assertion the same time, error message will be overwritten with assertion message.
Sometimes both of them are important and should be saved into results file.
For this case you can use following jmeter option:. Taurus allows that with jsr block. The example above uses defaults and inline script. If you want to use language different from groovy or use separate script file, please use extended form of jsr with key-value options.
By default it's set to after. Each if block should contain a mandatory then field, and an optional else field. Both then and else fields should contain lists of requests. Nested requests are to be specified with do field. If you want to loop requests forever, you can specify string forever as loop value. It allows conditional repeated execution of requests. Take note: you can specify force-parent-sample on both levels - scenario and transaction.
If both are found local transaction value has priority. You can use it to split your test plan into a few of independent scenarios that can be reused. Taurus translates each include-scenario block to a JMeter's Simple Controller and puts all scenario-level settings and requests there. Keep in mind: the following scenario-level parameters of including scenario have no effect for included ones:.
You can use it to pause or stop the current thread, or force it to go to the next loop iteration. See RFC for http authorization details. If you want to reset authorization for each test iteration you have to use clear flag and full form:. You can tune JTL file content with option write-xml-jtl. Possible values are 'error' default , 'full', or any other value for 'none'. Keep in mind: max full logging can seriously load your system. Another way to adjust verbosity is to change flags in xml-jtl-flags dictionary.
Next example shows all flags with default values you don't have to use full dictionary if you want to change some from them :. Web services deployed by Denodo are small client application running in a web applications container. Considerations on its performance must be taken into account during stress tests as well. Adequate memory configuration and connections pools for the web services with the adequate size and timeouts are important parameters.
If the number of concurrent requests we want to test is bigger than that, this setting must be changed accordingly. Ready for more? We offer a comprehensive set of training courses, taught by our technical instructors in small, private groups for getting a full, in-depth guided training in the usage of the Denodo Platform. Check out our training courses.
Toggle navigation. Other information This guide is not intended to be an exhaustive list of all the features of JMeter. Setting up the testing plan In JMeter a test plan is defined as a number of concurrent users that execute the defined operations, in our case JDBC or web services requests. In the section Thread Properties, configure the following parameters: Number of Threads users : This property represents the number of concurrent users that will be tested. Start with a value close to the amount of concurrent users using or planning to use the system at the moment, and then increase this value to try to determine the limits of the current set up.
Ramp up Period in seconds : This property tells JMeter how long to delay between starting each user.
www.cantinesanpancrazio.it/components/kawitovu/12-trovare-password-wifi.php For example, if you enter a Ramp-Up Period of 5 seconds, JMeter will finish starting all of your users by the end of the 5 seconds. If you set the value to 0, then JMeter will immediately start all of your users. It is usually a good idea to add some seconds here so the different queries defined in the following sections are not executed always at the same time in blocks. Loop Count : This property tells JMeter how many times to repeat your test. To simulate a high load during a longer period of time add a value greater than one. This will provide us with a more realistic scenario.
Usually 3 to 5 is a good number. Configure the fields as follows: Variable name bound to pool : This needs to uniquely identify the configuration. When the Server obtains enough results to complete a block, it sends this block to the driver and continues processing the next results. JDBC Driver class : com. Driver Username : test user. Password : password for test user. Validation query : Select 1 Max Number of Connections : This property represents the maximum size of the connection pool. Start with the value currently set up in your client application, and modify it if needed based on the results of your tests.
The rest of the parameters can be left with their default values. Defining the requests Select the Users element again. You will have to define the following parameters: Name : use a clear name to identify the request in the test plan. Then, select the HTTP Request element in the tree and edit the following properties Name: change the name to something that identifies this particular request.
Port number: port where the web container will be listening. In Denodo, is the default port for the web container. Method: select the method from the drop down, usually GET. Parameters: if the call requires input parameters, you can add them here. Add a listener to get a report for the Test Results The final element you need to add to your Test Plan is a Listener.
Running the test using the command line interface Once the plan is set up, you will have the tests stored in. Add any Listener like the Summary Report. Results from the file will appear in the listener.
This will allow you to monitor not only the results of the queries, but also a number of interesting parameters like: CPU usage. Memory Heap space usage. Memory Pools. GC Time. Status of the connection pools managed by Denodo to the data sources. Tuning Denodo Settings The following parameters are usually involved in the behavior of the system and may impact the result of the tests.
Java Virtual Machine memory settings The Denodo server is a Java process, and as such, it needs a memory configuration adequate to its needs.
Allocated memory is fully backed by physical memory. A heap size of 4GB is a good start point for a production deployment. The JVM announces the OS that at some point, it may request this amount of memory, but it does not need it yet. The reserved memory can be used by other processes while is not allocated by the JVM.