I executed load tests using Jmeter for 2 different scenarios and I have the Simple data writer output CSV files for the same. How do I merge these 2 results to see how the performance varies from one scenario to another?
I downloaded MergeResults plugin - upon adding the input files and clicking Merge, the output merged csv file gets created but there is no graphical representation which can aid comparing the results. Please can someone help?
I checked the instructions given in the link but I dont know what I am missing in order to plot the graph using the merged csv file.
Please can someone help me?
Merge Results generates a CSV file, if you want to see the graphical representation (chart) you need to open the file in the Listener of your choice.
Alternatively if you need to generate a chart in form of a PNG image you need to use JMeter Plugins Command Line Graph Plotting Tool like:
JMeterPluginsCMD --generate-png responsetimes.png --input-jtl your_merged_file.csv --plugin-type ResponseTimesOverTime
You can do comparison of the JMete test results easily with https://sense.blazemeter.com
Sign in to https://sense.blazemeter.com and create project
Upload the CSV files
Select a file
Click on Add to compare button at the bottom
Select the second file and click compare button
You can compare the test results in tabular form and in graphs.
Note : It is possible to compare multiple test result files
Related
I need to exclude a result from a graph in Jmeter because my graph is getting a few issues with two of them.
How can I exclude those results? I´m using the filters but I can only use one.
Thanks guys
JMeter .jtl files are basically CSV files, open it with with your favourite text/CSV editor and simply remove the "unwanted" values
You can change granularity, if you increase it - most probably it will "hide" the outstanding values
If you can distinguish the values you want to remove by tracing it down to particular Sampler labels you can filter them out using JMeter Plugins Command Line Tool or Filter Results tool, both provide --exclude-labels command-line argument where you can specify which samplers you don't want to see in results/charts.
I am using the flexible file writer in Jmeter to write the four variables that I have captured and defined in the properties file. I have used the debug sampler to verify and view results of the values of each of the 4 variables that I have used.
But when I am trying to use number of threads as more than 3 or 5, I am getting garbled and multiple values of the variables in the same column of the output csv as:
But ideally I am expecting the result to be like:
Timestamp_Queued|Timestamp_Download_Started|Timestamp_Download_Completed|Timestamp_Completed
1623596826050 1623596829514 1623596829868 1623596830045
1623596826195 1623596826434 1623596826840 1623596827071
1623596826427 1623596827736 1623596828138 1623596828319
1623596826629 1623596830096 1623596830417 1623596830600
1623596826809 1623596827113 1623596827514 1623596827692
Can someone help please. I have tried using other JS to capture the data one below the other but I am not able to capture the data in the above way. I am sure Jmeter must have an easy way to accomplish this.
Thanks!
We cannot help you by looking at the screenshot of the result file, we need to see your configuration of the flexible file writer, know how do you launch your JMeter script, is there any suspicious entries in jmeter.log file, etc.
Given that:
You declare your variables as Sample Variables
Configure the Flexible File Writer to save these variables as variable#0,variable#1,etc
Run JMeter in command-line non-GUI mode
You should get the anticipated results
More information: Using the JMeter Flexible File Writer Plugin
I'm running jmeter on a continuous integration platform from a repository and I need to generate both an xml .jtl file and csv .jtl file. Right now I am using -Jjmeter.save.saveservice.output_format=xml and a simple data writer writing to a csv file, but the csv file ends up not being formatted very well and same http calls on load tests don't get combined. If I could create log files for both that would be ideal.
What you’re doing looks correct to me.
What do you mean by csv not being formatted correctly ?
You could invert it by keeping output as csv and add a View Results Tree with filename set and in configure button, ensure you check all fields you need.
Of course, do this only in Non Gui mode.
I have large numbers PDF document, from which I need to extract text. The extracted text I use for further processing. I did this for a small subset of documents using Tesseract API in a linear approach and I get the required output. However, this takes a very long time when I have a large number of documents.
I tried to use the Hadoop environment processing capabilities (Map-Reduce) and storage (HDFS) for solving this issue. However, I am facing problem to implement Tesseract API into the Hadoop (Map-Reduce) approach. As Teserract converts the files into intermediate image files, I am confused as to how intermediate result Image files of Tesseract-API-process can be handled inside HDFS.
I have searched and unsuccesfully tried a few options earlier like:
I have extracted text from PDF by extending FileInputFormat class into my own PdfInputFormat class using Hadoop-Map-Reduce, for this i used Apache PDFBox to extract text from pdf, but when it comes to scanned-pdf's which contains image, this solution does not give me the required results.
I found few answers on the same topic stating to use -Fuse and that will help or one should generate image files locally and than upload those into hdfs for further processing. Not sure if this is the correct approach.
Would like to know approaches around this.
This is an approach found to process multiple pdf's to extract text using the power of the Hadoop Framework, and then use this text for further processing:
Put all the PDFs to be converted to text in one folder.
Create one text file per pdf to contain the path to the pdf. e.g. if I have 10 pdfs to convert, then I have 10 text files generated, each containing the unique path to the respective pdf.
These text files are given as input in the map-reduce program
Because input file size is very small only 1 input split is generated by framework for 1 input. e.g if I have 10 pdfs as input, then framework will generate 10 input-split.
From each Input-split one line(record) is read by Record-Reader and passed to one mapper as a value. So if there are 10 records(line==File Path) in input text file , 10 times mapper will run. As I have one record per input-split so one mapper-reducer is assigned to do task for that input-split.
As I have 10 input-split 10 mapper will run, parallel.
Inside the Mapper ghost-script generates images, passing the file name from Mapper value attribute. The image is converted to text using Tesseract inside the mapper itself to get the text of each pdf. This is the output.
This is passed to the reducer to do other analytics work as required.
This is the current solution. Would like feedback on this.
I am so close to having this work, I am trying to directly embed one jasper subreport into the main report xml of the other. You'd think this would be easy, but I can't find a single example on doing it. Everyone seems to use files or resources or whatever. I have one report working straight from a string and I want it to contain it's subreport.
Anyone? Syntax? Thanks!
The only way I know of to do this with JasperReports is to use a separate .jrxml file for the subreport, and include it in the main report using the subreport command.
Another option you have for any embedded reports is to use subdatasets, but as far as I know they're only useful for graphs.
As it sounds like you control the code surrounding the generation of the report, you could come up with a simple format to define multiple reports in the one string, and then have your code extract each report at runtime.
When we've needed to deal with a single file but have subreports for a JasperReport, we've used Zip files, and simply zipped up the main report and all it's necessary sub reports, and then unzipped them into a temporary directory when we need to (all in code of course)