Gatling feeders and feeder strategies

Hello everyone, in our previous post Accelerate performance with Gatling: POST HTTP REQUEST we have discussed:

  • What are the different ways to send an HTTP POST request with Gatling?
  • How to play with the different types of request bodies using Gatling?

In this post, we will discuss:

  • How to send dynamic data in the request bodies with Gatling feeders?
  • What are the Gatling feeder strategies?

Let’s assume that we are simulating a use case where 1000 concurrent users are trying to register to the app. Now there are two ways to do that: one is to write a random string method and use it in our simulation and the other is to separate the data from our simulation by defining a feeder.

Gatling Feeder

The feeder is a type alias for Iterator[Map[String, T]]. Gatling DSL provides an easy to use ‘feed’ method which takes the feeder as an argument and reads the data from the feeder and injects it into the simulation.

Gatling provided multiple feeders

Character separated file feeders

Gatling provides various ways to read the data from character-separated values files. Now there are multiple use cases where we use different separator characters in our data files like | ‘ : @ # $  etc.

So we can use

  • val csvFeeder = csv(“userData.csv”) // use a comma separator
  • val tsvFeeder = tsv(“userData.tsv”) // use a tabulation separator
  • val ssvFeeder = ssv(“userData.ssv”) // use a semicolon separator
  • val customSeparatorFeeder = separatedValues(“hello.txt”, ‘#’) // use your own separator.

If we have large data files then you can use zip file in Gatling feeder and ask Gatling to unzip the data at run time using following syntax

  • val csvFeeder = csv(“userData.csv.zip”).** unzip**

JSON Feeders

Above we have seen how to send the data from the different files, but what if a user wants to use a JSON file as a feeder? Just like CSV feeder, Gatling has a JSON feeder that can inject the data from JSON file or a JSON URL with the following syntax:

JDBC Feeders

As the name said JDBC feeder provides the capability to read the data from JDBC connections. It means if a user wants to read the data from a database like MySQL or PostgreSQL they can use JDBC feeders that will take the connection URL, user credentials and query as an input and at run time it will connect with the database as per defined configuration and inject the data in the simulation.

  • jdbcFeeder(“databaseUrl”, “username”, “password”, “SELECT * FROM users”)

Gatling supports some other feeders as well, but those are dependent on the use case where if a user wants to read a sitemap file using sitemap feeders, to read data from Redis using Redis feeders and to define a custom feeder as per the use case.

#scala #gatling feeder #json feeders

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Gatling feeders and feeder strategies

Gatling feeders and feeder strategies

Hello everyone, in our previous post Accelerate performance with Gatling: POST HTTP REQUEST we have discussed:

  • What are the different ways to send an HTTP POST request with Gatling?
  • How to play with the different types of request bodies using Gatling?

In this post, we will discuss:

  • How to send dynamic data in the request bodies with Gatling feeders?
  • What are the Gatling feeder strategies?

Let’s assume that we are simulating a use case where 1000 concurrent users are trying to register to the app. Now there are two ways to do that: one is to write a random string method and use it in our simulation and the other is to separate the data from our simulation by defining a feeder.

Gatling Feeder

The feeder is a type alias for Iterator[Map[String, T]]. Gatling DSL provides an easy to use ‘feed’ method which takes the feeder as an argument and reads the data from the feeder and injects it into the simulation.

Gatling provided multiple feeders

Character separated file feeders

Gatling provides various ways to read the data from character-separated values files. Now there are multiple use cases where we use different separator characters in our data files like | ‘ : @ # $  etc.

So we can use

  • val csvFeeder = csv(“userData.csv”) // use a comma separator
  • val tsvFeeder = tsv(“userData.tsv”) // use a tabulation separator
  • val ssvFeeder = ssv(“userData.ssv”) // use a semicolon separator
  • val customSeparatorFeeder = separatedValues(“hello.txt”, ‘#’) // use your own separator.

If we have large data files then you can use zip file in Gatling feeder and ask Gatling to unzip the data at run time using following syntax

  • val csvFeeder = csv(“userData.csv.zip”).** unzip**

JSON Feeders

Above we have seen how to send the data from the different files, but what if a user wants to use a JSON file as a feeder? Just like CSV feeder, Gatling has a JSON feeder that can inject the data from JSON file or a JSON URL with the following syntax:

JDBC Feeders

As the name said JDBC feeder provides the capability to read the data from JDBC connections. It means if a user wants to read the data from a database like MySQL or PostgreSQL they can use JDBC feeders that will take the connection URL, user credentials and query as an input and at run time it will connect with the database as per defined configuration and inject the data in the simulation.

  • jdbcFeeder(“databaseUrl”, “username”, “password”, “SELECT * FROM users”)

Gatling supports some other feeders as well, but those are dependent on the use case where if a user wants to read a sitemap file using sitemap feeders, to read data from Redis using Redis feeders and to define a custom feeder as per the use case.

#scala #gatling feeder #json feeders

Kanika Khetan

1603784360

What are the different types of business level strategies?

A business strategy professional with her strong business acumen knows when and which business-level strategies to apply, so as to slice through the competition and gain an edge over its competitors.

But wait! What are business-level strategies?

The business-level strategy is defined as a strategy that addresses the basic question of how a business aims to compete in its particular industry. In simple words: A business-level strategy helps businesses differentiate themselves from their competitors.

While it may be easy to understand the whats and hows of business-level strategy, the complication arises when one has to choose the type of business strategy that will help the organization to stay ahead of its competition.

Business Strategy – Business Level Strategies for Astounding Success!

As a business strategy professional, it is important to know that while there are numerous business-level strategies – the key is to find the right business strategy that will help your business gain added advantage over your competitors. As discussed there are numerous business-level strategies – let’s have a look at the five important ones –

  1. Cost leadership strategy: This business strategy competes with a broad range of businesses based on cost.
  2. Differentiation strategy: It competes by using a product or service with completely unique features.
  3. Focused differentiation: This type of business-level strategy not only competes through differentiation but also (uniqueness of product/service) but also selects a small portion of the market on which it lays its focus.
  4. Focused low-cost: This type of strategy competes not only through cost but also by selecting a small portion of the market that needs to be focused.
  5. Integrated low-cost differentiation: It is a business strategy that competes by using both low cost and differentiation.

#business strategy professional #business strategy #business #strategy

Erwin  Boyer

Erwin Boyer

1624638660

Chatbot Strategy with QnA Maker

Learn as you go without egg on your face

Implementing chatbots incrementally can not only save you the troubles associated with chatbots but can also service a valuable purpose to your organization along the way. One incredibly easy way to begin this journey is with Microsoft QnA Maker. (This article is not sponsored by Microsoft, nor have they had any editorial influence.)

It’s no secret chatbots are serving uses across industries, especially in customer service. They “talk” to customers, which is a decent self-service use case for chatbots, but it’s also a cautionary tale of “too much too soon.” There are a number of examples where chatbots have failed in their mission.

I’m proposing a path to more easily learn what others have learned the hard way without the risks, while accomplishing an important goal within your organization; effectively sharing institutional knowledge.

Sounds too good to be true.

Fair enough, but it’s not. QnA Maker is less chatbot and more knowledge base, but make no mistake, that knowledge base is exposed as a chatbot. Think about what that can mean. Imagine a SharePoint search that actually works and imagine testing it all out inside your own company before going to the public too soon.

#chatbots #chatbot-platforms #qna-maker #chatbot strategy with qna maker #chatbot strategy #strategy

Multichannel Marketing Strategy: Why It Matters? How Does It Work Like A Pro? And More

Multi-channel marketing is no more an abstract concept about which businesses are unaware of. It’s providing unheralded opportunities from huge conglomerates to SMBs to enjoy significant results with a 360-degree view of customers.

The brands that are still resisting and taking the back seat, then plugging in with the customers, offering the customers what they would love to have, and boundless growth is implausible.

Want to create orchestrating multi-channel marketing campaigns to change the wind of sales and ROI? If so, get connected with top digital marketing companies that help you with the right tools, strategy, and additional tips.

Read More: Multichannel Marketing Strategy

#top digital marketing companies #multichannel marketing strategy #marketing strategies #digital marketing strategy #multichannel marketing campaigns

Appsinvo : Effective Strategies for Cloud Migration in 2021

There are many types of cloud strategies for cloud migration and platforms are available that strengthen the enterprises to explore the myriads of choices before completing to one particular environment. The app architecture gives you a chance for the company to review the optimization interoperability of the app with the platform. https://www.appsinvo.com/blog/effective-strategies-for-cloud-migration-in-2021/

#strategies for cloud migration #what is a strategy for cloud migration #what is a strategy for cloud migration