How To Register Multiple Users To Be Used In Test Thread Group Without Csv Configure

Stress testing with JMeter¶

Apache JMeter is an open source Coffee desktop application, congenital to verify functional behavior, perform load tests, and measure performance. Some of JMeter points of strength are mentioned here below:

It ships with an easy-to-use GUI;

It allows to set up multiple thread groups, different parallelism and request count, to ramp up the load;

It can use CSV files to generate semi-randomized requests;

It tin execute parameterized tests;

It reports results in a uncomplicated table;

It uses assertions for checking test results;

Information technology tin can exist executed in batch.

In the picture beneath we have summarised the basic concepts of a JMeter examination which we are going to build right afterward.

JMeter basic concepts

Configuring a simple examination¶

This section explains how to run performance tests using JMeter in guild to evaluate the GeoServer performances when serving WMS requests. The performance test aims to stress the server and evaluates the response fourth dimension and throughput with an increasing number of simulated users sending concurrent requests to the server.

Annotation

Ideally, to avoid adding actress load to the server JMeter should run on a unlike machine.

Warning

If you have performed the exercises in the security section, please get back to the layer and service security pages and open admission to everybody, on all data and all services, earlier performing the exercises in this department

From the training root, on the control line, run jmeter.bat (or jmeter.sh if yous're on Linux) to get-go JMeter:

jMeter interface
Add a new Thread Group with the mouse right click on Examination Plan tree node:

Adding a new Thread Group
In the Thread Group panel set the number of thread for the exam to 4 (this represents the number of simultaneous requests that are fabricated to GeoServer) and the ramp-up period to threescore. Also, chek Forever on the Loop Count field.

Setting the Thread Group
Add a new Loop Controller with the mouse right click on Thread Grouping tree node:

Adding a new Loop Controller
Right click on the Loop Controller tree node and add a new HTTP Asking chemical element:

Adding a new HTTP Request

In the HTTP Request enter the following basic configuration:

Field	Value
Server Name or IP	localhost
Port Number	8083
Path	geoserver/ows

../_images/jmeter9.png

HTTP Asking host/port/path configuration

From the grooming data dir root, open the data/jmeter_data/jmeter_request_params.txt , select and copy its contents in the clipboard, and then click "Add from Clipboard" in the "HTTP request" panel to setup a sample GetMap request:

HTTP parameters configuration

Add together the following listeners past right clicking on Exam Plan tree node: View results Tree , Summary Study , Graph results

Calculation a Listeners
Save this configuration into information/jmeter_data/ as jmeter_simple.jmx

At this point JMeter is configured to run a GeoServer operation examination:

Click on Run tool and select Starting time to startig the jMeter examination.

starting jMeter examination
Select View Results Tree to straight see the request informations produced and the asking issue:

The View Results Tree panel
Select Summary report to view the statistical informations about the requests:

The Aggregate Graph console
Select Graph Results to analyze the technical trend of the requests:

The Spline Visualizer panel
Click on Run tool and select Finish to end the benchmarking session

Creating a Multiscale examination¶

This chapter explains how to create a custom randomized Multiscale exam with a set up of multiple concurrent threads.

In the example before, we ran a examination on a layer always requesting the same bounding box and image size. At present we should fix a more sophisticated examination asking for different bounding boxes and resolutions, i.east. a multiscale test. Multiscale testing is useful considering it stresses GeoServer requesting new information each time, mimicking existent usage conditions and providing ameliorate testing for eventual SLD scale dependencies. With JMeter we can execute the exam by passing a CSV file containing multiple randomized bounding boxes and image dimensions.

In the first paragraph we are going to describe how to generate a CSV file for randomized requests at different scales. In the 2nd one is shown how to configure a new JMeter test with multiple simultaneous threads.

Create CSV file¶

Only for Windows machines: open the file gdal.bat under %TRAINING_ROOT% folder inside the training dwelling folder.

Run:

Linux:

cd $TRAINING_ROOT/geoserver_data/information/boulder  gdalinfo srtm_boulder.tiff

Windows:

                        cd                        %                        TRAINING_ROOT                        %\geoserver_data\data\boulder                        gdalinfo                        srtm_boulder                        .                        tiff

The output of the control will be something similar this:

                    Driver                    :                    GTiff                    /                    GeoTIFF                    Files                    :                    srtm_boulder                    .                    tiff                    Size                    is                    2520                    ,                    1800                    Coordinate                    System                    is                    :                    GEOGCS                    [                    "WGS 84"                    ,                    DATUM                    [                    "WGS_1984"                    ,                    SPHEROID                    [                    "WGS 84"                    ,                    6378137                    ,                    298.257223563                    ,                    AUTHORITY                    [                    "EPSG"                    ,                    "7030"                    ]],                    AUTHORITY                    [                    "EPSG"                    ,                    "6326"                    ]],                    PRIMEM                    [                    "Greenwich"                    ,                    0                    ],                    Unit of measurement                    [                    "degree"                    ,                    0.0174532925199433                    ],                    Potency                    [                    "EPSG"                    ,                    "4326"                    ]]                    Origin                    =                    (                    -                    105.700138888888890                    ,                    xl.300138888888888                    )                    Pixel                    Size                    =                    (                    0.000277777777778                    ,                    -                    0.000277777777778                    )                    Metadata                    :                    AREA_OR_POINT                    =                    Area                    Image                    Structure                    Metadata                    :                    INTERLEAVE                    =                    Band                    Corner                    Coordinates                    :                    Upper                    Left                    (                    -                    105.7001389                    ,                    40.3001389                    )                    (                    105                    d42                    ' 0.50"Westward, 40d18'                    0.fifty                    "N)                    Lower                    Left                    (                    -                    105.7001389                    ,                    39.8001389                    )                    (                    105                    d42                    ' 0.fifty"W, 39d48'                    0.fifty                    "Northward)                    Upper                    Right                    (                    -                    105.0001389                    ,                    forty.3001389                    )                    (                    105                    d                    0                    ' 0.50"West, 40d18'                    0.l                    "N)                    Lower                    Right                    (                    -                    105.0001389                    ,                    39.8001389                    )                    (                    105                    d                    0                    ' 0.50"Westward, 39d48'                    0.50                    "N)                    Center                    (                    -                    105.3501389                    ,                    40.0501389                    )                    (                    105                    d21                    ' 0.fifty"W, 40d three'                    0.fifty                    "N)                    Band                    1                    Block                    =                    256                    x256                    Type                    =                    Int16                    ,                    ColorInterp                    =                    Gray                    Overviews                    :                    1260                    x900                    ,                    630                    x450                    ,                    315                    x225                    ,                    158                    x113                    ,                    79                    x57                    ,                    xl                    x29

The data needed to create a multiscale CSV file are:

Tile Size 256 10 256

Pixel Size 0.000277777777778

Bounding Box ((-105.7001389, -105.0001389), (39.8001389, 40.3001389))

Run:

Linux::
cd $TRAINING_ROOT/information/jmeter_data  python ./wms_request.py -count 100 -region -105.seven 39.8 -105.0 40.three -minres 0.00028 -maxres 0.00224 -minsize 256 256 -maxsize 1024 1024 > multiscale.csv                          
Windows::
cd %TRAINING_ROOT%\data\jmeter_data  wms_request.py -count 100 -region -105.7 39.viii -105.0 40.three -minres 0.00028 -maxres 0.00224 -minsize 256 256 -maxsize 1024 1024 > multiscale.csv                          
wms_request.py is a python script which generates randomized requests at different bounding box and resolutions. The parameters are described in the following tabular array:

Parameter Description

count Indicates the number of requests to generate

region Indicates the maximum bounding box of each asking

minres/maxres Indicates the minimum and maximum value for the Pixel Size to request (Typically it should be at least the minimum resolution)

minsize/maxsize Indicates the minimum and maximum dimensions of the requested paradigm (Typically information technology should exist at least equally large as the tile size)

The CSV file is structured following the rule $width;$height;$bbox .

For example 290;444;-105.5904,39.910198,-105.48776,xl.067338 indicates a request of size 290x444 and Bounding box [-105.5904,39.910198,-105.48776,forty.067338].

JMeter must be configured for parsing the CSV file correctly by using the CSV Data Ready Config element.

Configure JMeter¶

From the training root, on the command line, run jmeter.bat (or jmeter.sh if yous're on Linux) to start JMeter:

jMeter interface
Add three new items of blazon Thread Group chosen one, 2, 4
For each Thread Grouping fix the Number of Thread (users) field equal to the Thread Grouping proper name, the Ramp-Up Period and Loop Count fields to 1.

Setting the Thread Group (here: Thread Group 1)
In the Examination Plan section, bank check the Run Thread Groups consecutively checkbox
Add together a new Loop Controller to the first Thread Grouping object
Right click on the Loop Controller tree node and add a new HTTP Request chemical element with the same name of the Thread Group:

Setting the HTTP Request

In each HTTP Asking add together the post-obit fields to the panel:

Name Value Encode? Include Equals?

bbox ${bbox} unchecked checked

tiptop ${height} unchecked checked

width ${width} unchecked checked

Which should look like in the moving-picture show

HTTP Request panel configuration

Uncheck the Follow Redirects and Utilise KeepAlive checkbox
Right click on the Loop Controller tree node and add a new CSV Data Fix Config chemical element:

Setting the CSV Data Set Config

Configure the CSV Data Ready Config as follows:

Field name Value

Filename ./multiscale.csv

Variable names width,acme,bbox

Delimiter ;

Configuring the CSV Data Set Config

Right click the loop controller and choose "Re-create", then right click the other thread groups (1 past one) and choose "paste" to go a full copy of the controller, HTTP sampler and CSV confiuration. Adjust each "HTTP request" node name to match the thread group name (1, 2 and iv)

Configure the Loop Controller along the following schema:

Thread Group

1

Loop Controller –> Loop Count

100

Thread Group

2

Loop Controller –> Loop Count

50

Thread Group

four

Loop Controller –> Loop Count

50

From the Test Plan tree node add together an HTTP Asking Defaults element (Config Element -> HTTP Asking Defaults) and enter the following basic configuration:

Field	Value
Server Proper name or IP	localhost
Port Number	8083
Path	geoserver/ows

Information technology should look like this:

../_images/jmeter9.png

HTTP Default Request host/port/path configuration

From the training data dir root, open the information/jmeter_data/jmeter_request_params_2.txt , select and copy its contents in the clipboard, then click Add from Clipboard in the HTTP request panel to prepare upwardly a sample GetMap request:
Add together the following listeners by right clicking on Test Plan tree node: View results Tree and Summary Report
Add the following assertions by right clicking on Test Plan tree node: Response Assertion

Calculation Assertions

Note

Using Assertions is helpful because it avoids to continuously exercise a visual bank check on the results.

Configure the Response Assertion following this table:

Field Value

Apply to Main sample only

Response field to exam Response Headers

Pattern Matching Rules Contains

In the Pattern to exam panel add together:

The final result should look similar in the picture:

Configuring Response Assertion

The overall test plan should look equally follows. Save it in the jmeter_data directory every bit multiscale.jmx

Saving the multiscale criterion

At this signal JMeter is configured to run a GeoServer performance test:

Select the Test Plan tree node and select Run - Start from the top menu to start the JMeter exam.

starting JMeter exam
Select View Results Tree to direct see the request information produced and the requests results:

The View Results Tree console with a sample request

Another request with dissimilar resolution and bounding box
Select Summary Report to view the statistical information about the requests:

Suymmary report console

Thread Group 1	Loop Controller –> Loop Count 100
Thread Group 2	Loop Controller –> Loop Count 50
Thread Group four	Loop Controller –> Loop Count 50

How To Register Multiple Users To Be Used In Test Thread Group Without Csv Configure

Stress testing with JMeter¶

Configuring a simple examination¶

Creating a Multiscale examination¶

Create CSV file¶

Configure JMeter¶

How To Register Multiple Users To Be Used In Test Thread Group Without Csv Configure,

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Tile Size	256 10 256
Pixel Size	0.000277777777778
Bounding Box	((-105.7001389, -105.0001389), (39.8001389, 40.3001389))

Parameter	Description
count	Indicates the number of requests to generate
region	Indicates the maximum bounding box of each asking
minres/maxres	Indicates the minimum and maximum value for the Pixel Size to request (Typically it should be at least the minimum resolution)
minsize/maxsize	Indicates the minimum and maximum dimensions of the requested paradigm (Typically information technology should exist at least equally large as the tile size)

Name	Value	Encode?	Include Equals?
bbox	${bbox}	unchecked	checked
tiptop	${height}	unchecked	checked
width	${width}	unchecked	checked

Field name	Value
Filename	./multiscale.csv
Variable names	width,acme,bbox
Delimiter	;

Field	Value
Apply to	Main sample only
Response field to exam	Response Headers
Pattern Matching Rules	Contains