I was writing JMeter tests for REST API.
Its a post request and we need to send a big xml content in request body.
So I was using CSV Data Set config to parameterize the xml content in body part.
I have created a CSV Data Set config for HTTP Request sampler.
In csv file, I am writing the whole xml content. 1 row for 1 request. It is working fine.
But I found this is bit complex as we have to maintain large lines of xml in csv file.
Is there any way we can write only xml file names or full paths in csv file and CSV DataSet config checks the name and then read the contents of that file and append in request body.
file-abc.xml
file-def.xml
I think this would be easy to maintain as we can have dedicated files for XML content.
Any way to do it using CSV DataSet config?
Or any other way to achieve the same in JMeter tests.
I found this question How to hold Xml file names in CSV Data set Config (Jmeter)
I followed its answer but I am not able to pass the xml content in request body.
Its only passing xmlfile names written in csv file in the request body.
But as per answer it reads the file from xml path/name and pass it in the parameter.
You can keep the file names or paths to the files in the CSV file and read the file content using __FileToString() function directly in the HTTP Request sampler body
If you're keeping XML files in a separate folder you might find Directory Listing Config plugin easier to use in case you want to add/remove/rename files without having to maintain the CSV mapping.
Directory Listing Config plugin can be installed using JMeter Plugins Manager
Related
I am using Karate 0.9.0 version and I want to upload data using csv file. As per new update, it is converting data into JSON. But my API supports csv file format for upload function. How can I upload csv file in post request without converting data into json?
Example
Given path 'xxx/upload'
And header Authorization = xxx
And header Content-Type = 'text/csv'
And request read('classpath:xxx.csv')
When method POST
Then status 202
P.S. This example was working in Karate version: 0.9.0.RC5
Thanks, that is indeed an edge case we hadn't thought of, but you have 2 options that will work nicely:
1) rename your CSV file to *.txt
And request read('classpath:xxx.txt')
2) use the karate.readAsString() API
And request karate.readAsString('classpath:xxx.csv')
Have added new repository items and filled all the fields with appropriate details. I wish to export this content as CSV, XML so that changes can be made in the downloaded CSV file and then import this CSV or sync automatically with the uploaded content type.
How do I proceed?
An AJAX HTTP error occurred.
HTTP Result Code: 200 Debugging information follows.
Path: /batch?id=95&op=do_nojs&op=do
StatusText: OK
I have written a REST API and now my requirement is to send the multiple JSON body to the API using POST method from JMeter. I have a csv file with four values(1,2,3,4). And in each of the four files I have the JSON body. I used :
Step-1) added the csv file to jmeter and create a reference and named it JSON_FILE
Step-2) ${__FileToString(C:Path_to_csv_file/${__eval(${JSON_FILE})}.txt,,)}
But from this I am able to access only first file i.e which is named with one. How do I send the body of all file to the API?
Help is highly appreciated.
You won't be able to use CSV Data Set Config as it will read the next value for each thread (virtual user) and/or Thread Group iteration.
If your requirement is to send all the files bodies at once you can go for an alternative approach
Add JSR223 PreProcessor as a child of the HTTP Request sampler which you use for sending the JSON payload
Put the following code into "Script" area:
def builder = new StringBuilder()
new File('/path/to/plans.csv').readLines().each { line ->
builder.append(new File(line).text).append(System.getProperty('line.separator'))
}
sampler.getArguments().removeAllArguments()
sampler.addNonEncodedArgument('', builder.toString(), '')
sampler.setPostBodyRaw(true)
the above code iterates through entries in plans.csv file, reads the file contents into a string and concatenates them altogether. Once done it sets the HTTP Request sampler body data to the generated cumulative string.
Check out The Groovy Templates Cheat Sheet for JMeter to learn more and what else could be achieved using Groovy scripting in JMeter.
Use Body data as follows in HTTP Sampler:
{__FileToString(${JSON_FILE},,)}
You have to put all the file path in your plan.csv file. At each line, there should be a file path.
Example:
Suppose, you have 4 files with JSON body which you want to use in your HTTP sampler.
Give the file path of these 4 files in your CSV file which is plan.csv. Each line contains a file path like this:
/User/file/file1.json
/User/file/file2.json
/User/file/file3.json
/User/file/file4.json
Now, in your CSV data set config, Use the proper file name of CSV file which contains all the file path and give it a variable name like JSON_FILE.
Now, Use {__FileToString(${JSON_FILE},,)} this line in your Body data. Also use the loop count value accordingly.
I want to upload .csv file on server while i get .csv file in my project . Can any one help me in that ?
You need to create web service on your server that accepts data of csv file as input.
Then you can use NSURLConnection or use NSData's writeToURL:atomically: method
I am creating a tool that is required to parse incoming MIME streams and return the email body and email attachments as separate file streams.
I am using mime4j for this purpose.
Following are the problems that I am stuck on:
How can I test whether the email body file or email attachment file that I parsed out via mime4j from MIME stream is correct?
I have a large corpus of emails available in raw mime form that I want to run my tests on and need some automated way to determine which ones might be breaking the mime parsing by mime4j and tweak the code for that.
You could decode the attachments and then re-encode them. If the re-encoded stream matches (byte-for-byte) the original, then that's a good sign that mime4j is properly handling them.
I initially parsed out a sample corpus *.eml files using mime4j. I had to manually check them for parsing errors as I had no other good choice.
Now I am using the earlier parsed out emails as testbed over which I check my parsed out results iteratively.