Using CSV file in LaoadRunner(Parameterization)

Using CSV file in LaoadRunner(Parameterization)

Steps

1.Go to step navigator, then argument properties. 

 2. Give the path of CSV file as shown in below image,

close and open it again your parameters data automatically get reflected.  

LoadRunner Functions | lr Functions in loadrunner

Load-Runner Functions (View >Steps Toolbox):

1. lr_start_transaction:   used to measure the duration of a business process. Lr_start_transaction is inserted at the beginning of any request. Each lr_start_transaction is should have lr_end_transaction after the request or any process for which you want to measure or analysis duration or any other parameters.

2. lr_end_transaction: used to make end of loadRunner transaction.

Example.

    lr_start_transaction ("Transaction Name _1");

web_custom_request ("parse_6", "URL=https: //localhost:26143/skypectoc/v1/pnr/parse",

                            "Method=POST", "Resource=0", "RecContentType=application/json",

                            "Referer=", "Snapshot=t9.inf",

           "Mode=HTML",

             "EncType=application/json",LAST):

   lr_end_transaction ("Transaction Name _1", LR_AUTO);

LoadRunner Installation Guide

LoadRunner  12.02: 

Let me know if any one interested will forward you document post your email in comment.

System Requirements :

• .net Frame Work  4.5 
• Java Installed.

KeyWords:  load runnner , loadrunner, LoadRunner 12.04

why to go with hadoop ...?

 Why to go with hadoop ...?

We all know today's real time transactions, social media and other internet transaction increasing the data size means Big Data is generated rapidly. As the size of data is increased the main problem is PROCESSING that data not storing. To deal with this problem Hadoop is one of the better solutions, Hadoop gives fast processing by solving query in distributed manner. In Hadoop we don't pass data to the query machine instead of that we pass our query to that machine where appropriate(required) data is stored/located. that's why response time is reduced and we get our work done fast.

Hadoop is an open source.

Main Features: 

 1.Large Data Sets – MapReduce paired with HDFS is a successful solution for storing large volumes of unstructured and structured data. 

2. Scalable: Hadoop scales linearly to handle larger data by adding more nodes to the cluster.

3. Robust: As Hadoop runs on commodity hardware, its architecture is designed with the assumption of frequent hardware failures. It can easily handle most such failures.

4.Simple: In Hadoop it is simple to write parallel running codes.  

Hadoop as a new Emerging technology......

FREE WORKSHOP.

Where our students lagging …. They don’t know what is going in IT Industry, what are the recent trends, what should they do….etc. I am trying to make our students to know about recent technology HADOOP.

As recent trends in IT you know Hadoop is one of the new technology that recently used in many of the MNC such as Amazon, Facebook, IBM, Dell, AdaharCard System etc. I am planning to take Hadoop Workshops to make students aware of this technology and get full idea about Hadoop.

Topics Covered In Seminar.

1.    What is Hadoop

2.    Why Hadoop

3.     Features of Hadoop

4.     Complete Single Node Installation

5.     Question answer session

Mahesh chaudhar

9975470788

maheshmaeit@gmail.com