Open Source and Free Hotel Booking Management Software

QloApps Data Cleaner

QloApps Data Cleaner is an add-on that provides you with a module that removes demo data created on the website.

It includes data on hotels, pages, rooms, orders, customers, and more.

Apart from that, it also removes data of the same created by the admin for the purpose of testing.

Now, why do we provide this functionality?

The reason is we are providing our customers the option so that they can efficiently perform the testing of the website and understand it thoroughly.

Afterward, he can launch real data on his live website.

Features of QloApps Data Cleaner

Installation of QloApps Data Cleaner

QloApps Data Cleaner is already available. You only have to install the module.

First, go to the ‘Modules and Services’ tab, and in that select ‘QloApps Data Cleaner’ and click on the install button.

After installing the module, you will see demo data already created under various tabs.

For instance, hotels, room types, customers, features, orders, and many more.

Apart from that, if you create any data under different tabs for testing purposes, these data will also get deleted.

Configuration of QloApps Data Cleaner

After installation of the module, you will see a configuration button.

Click on it and you will redirect to a new page to configure the module.

Catalog

In this Enable the option to remove all the catalog data and after that click on ‘Delete Catalog’ to remove all catalog data.

Orders and Customers

Likewise, enable the option and click on the ‘Delete orders & customers’ button to remove all the data from the orders and customer’s tab.

Functional Integrity Constraints

Under Functional Integrity Constraints, you can remove data that are created because of the existence of some primary data.

In some instances, there might be cases where there is a duplicate entry in the database so this functionality removes those data.

In other words, we can say it maintains dependent tables/ lang tables.

Go to ‘Functional Integrity Constraints’ and click on ‘Check & Fix’.

Database Cleaning

It removes all those data that expired and all those data which are not required in the future.

For instance, you have created cart rules for a period of 30 days.

So, through this option, you can remove data related to cart rules after its date expires.

Before Removing data

The images below depict the backend of the website before removing data.

Catalog

Orders and Customers

After Removing Data

The images below show the backend of the QloApps website after removing data.

Catalog

After you remove the catalog data, a confirmation message will display.

Afterward, you can see images below that show the backend of the QloApps website after removing data.

Orders and Customers

Similarly, after you remove the orders and customers’ data a confirmation message will display.

Hence, you can see the backend of the website after removing data.

Functional Integrity Constraints

It removes all the duplicate data or we can say dependent/lang tables.

Database Cleaning

As you can see it removes the data tables that cross the expiration period.

Conclusion

This was all from the QloApps Data Cleaner. I hope I was able to clarify the functioning of the module to you.

If you want to learn about the functionality of QloApps then you can visit this link: QLO Reservation System – Free Open-Source Hotel Booking & Reservation System

In case of any query, issue, or requirement please feel free to raise it on QloApps Forum

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