JMeter learning notes

1、CSV Data Set Config

D Plate ,data.txt The content of ：

CSV Data Set Config The configuration is as follows ：

Description of each parameter ：

• Filename( file name ) ： Support relative and absolute paths . Relative path refers to the path saved by the script as the current relative path

• Variable Name( Variable name ) ： We can set as many variables as there are columns of data , Separated by commas .
  If this item is empty ,jemter Will go to parse csv Of documents header, in other words , If your csv The document has a header , Then you can not set the variable name ,jmeter The name of the header will be automatically resolved to a variable .

• Allow quoted data ： If your csv The contents of the file contain separators , The default separator is comma , Then check this item , Just enclose the value in double quotation marks

• Sharing mode ： This is more difficult to understand , We can simply think of this option as configuration jmeter How to open csv Of documents . It has 4 An option ：

  Option parameters	meaning
  All threads	All virtual users use the same csv file
  Current thread group	One per thread group csv file
  Current thread	Every thread ( Virtual user ) Use one csv file
  Identifier	Customize

2、 Regular expression extractor

Usage scenario of regular expression extractor ：

Get the data returned from dynamic changes in the application to , Save it as a parameter , It is provided for use in the future .

such as , The parameters of the next interface need to refer to the values in the returned data of a previous interface , Can pass Regular expression extractor To get the value .

The meaning of each parameter value ：

Parameters	paraphrase
Quote name	stay HTTP Waiting for request , Reference this data , The name you need
Regular expressions	Used to extract the required data
Templates	Represents the number of values extracted ： $1$: Take the first place 1 individual （ Column ） $2$: Take the first place 2 individual （ Column ） And so on :$n$: Take the first place n individual
Match the Numbers （0 For random ）	0 Represents a random value ,1 Represents all values
The default value	If the regular expression does not find a value , This default value is used

2.1、 Regular expressions —— There is only one matching value

（1） Regular expression testing

The text is as follows , It is known that 9 This number .

javawind:9

The regular expression used in the test is as follows ：

Regular expression Tester Instructions ：
The first 1 Column is the original content of the matching file , Not a match .
From 2 The column starts with the matching extraction result .

The regular expression is javawind:(.*) , It can be seen from the test results that , The first 2 Column （ That is, the index is 1 ） That is The result of extraction .

（2） Regular expression extractor configuration

Because there's only one value （ Index from 1 Start calculating ）, Value using $1$ , As shown in the figure below ：

（3） Reference in other components

When using variables , Just quote the name .

2.2、 Regular expressions —— There are multiple matching values

（1） Regular expression testing

As shown in the figure below , In a row , There are two matching values .

（2） Regular expression extractor configuration

In the last step , There are two matching values in a row , If you want to take the number 1 It's worth , Then use $1$ , If you want to take the number 2 It's worth , Then use $2$ , And so on .

（3） Reference in other components

When using variables , Just quote the name .

2.3、 Regular expressions —— There are multiple row and column matching values

There are multiple rows and columns of matching data , Is not common .

（1） Regular expression testing

As shown in the figure below , Yes 3 That's ok 2 Column matching data .

（2） Regular expression extractor configuration

analysis , If you want to get The first 2 Column 、 The first 2 It's worth it , Corresponding J yes （$2$, ${javawd_g2}） , If it's No 3 Column 、 The first 4 It's worth it , It corresponds to （$3$,${javawd_g4}）.

below , We take The first 2 Column , The first 2 That's ok , The value is 17 As an example of .

First , Regular expression extractor template filling $2$ , Said to get The first 2 Columns of data .

（3） Reference in other components

In the last step The first 2 Column On the basis of , If you want to take The first 1 That's ok The data of 16 , Then fill in ${javawd_g1} ,

If you want to take The first 2 That's ok The data of 17 , Then fill in ${javawd_g2} .

2.4、 Example ,jmeter Use the regular expression extractor to get the value and Set global variables

In the interface test , Many interfaces log in first and then , obtain token , take token Set to global variable , Then you can call other interfaces .

There will be one in the information returned after login token value , Use regular expressions to extract token Value ,

then , Use In the post processor Of BeanShell PostProcessor Set up token Is a global variable .

（1） see token value ：

see token There are many ways , Common methods are as follows .

- use fiddler Grab the bag
　　- F12 View interface information
　　- use jmeter Log in to view

（2） Regular expression extraction token

（3）BeanShell PostProcessor Set up token Is a global variable .

（4） Other interfaces use this global variable ：

add to http Header Manager

3、 Two methods of data extraction

Get the data returned in the previous step to , Save it as a parameter , For the following steps .

As shown in the figure below , Password login interface After successful execution , Return some data . In this data token 、userId Must be used in subsequent interface calls .

extract Password login interface Returns... In the value token 、userId There are two ways , The first 1 One is the regular expression extractor , The first 2 Species is JSON Extractor .

3.1、 Method 1, Regular expression extractor

extract Password login interface Returns... In the value token 、userId , As shown in the figure below .

debug sampler

You can see userId、token Extracted ; The quotation is written as ：${token}, ${userId} .

3.2、 Method 2,JSON Extractor

extract Password login interface Returns... In the value token 、userId , As shown in the figure below .

debug sampler

You can see userId、token Extracted ; The quotation is written as ：${token} ,${userId} .

3.3、 Value reference ${ }

There are two ways to extract parameters , The next step is to reference the extracted value in the next interface parameter .

As shown in the figure below , stay http I quote token value ,

Click the execute button , stay http Fruit trees in see Request data , You can see token Citation .

Execution results , As shown in the figure below , stay http Of Fruit trees View in The response data , The interface was also executed successfully .

4、 Function assistant

（1） open Function Assistant dialog

（2） choice __CSVRead Function function .

（3） Prepare the data , As shown in the figure below .

stay D Disk creation data.txt file , The contents are as follows ：

（4） To configure __CSVRead The parameter value of the function

Option parameters	meaning
CSV file to get values from	To read the full path of the file
CSV File column number	Which column of data to read . The default is 0 At the beginning ,0 Express The first 1 Column . 0 It means the first one 1 Column 1 It means the first one 2 Column And so on

After the above values are filled in , Click on Generate Button , Generate Quoted variables .

（4） reference parameter

username  It's No 1 Column , Fill in  ${__CSVRead(D:\data.txt,0)}
pwd  It's No 2 Column , Fill in  ${__CSVRead(D:\data.txt,1)}

（5） verification

A little