
When this happens...
Add visitor to queue
visitor checks in
Mark visitor as served

Automatically do this!
Find row(s) from a table
Execute a Query (advanced)
Insert Row
Update row(s) in a table
Delete row
tesitng
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new visitor is added.
runs when visitor checks in
Set a visitor's status to 'served' in Qminder to update the queue and record service completion.
Action is the task that follows automatically within your Qminder integrations.
Add a visitor to the selected line so they join the location's queue.
Find row(s) via a lookup column.
You can select, create, update or delete row(s) of table via custom SQL query.
Adds a new row into the table.
Update any existing row in the given table.
Deletes row from a table.

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To start, connect both your Qminder and MYSQL accounts to viaSocket. Once connected, you can set up a workflow where an event in Qminder triggers actions in MYSQL (or vice versa).
Absolutely. You can customize how Qminder data is recorded in MYSQL. This includes choosing which data fields go into which fields of MYSQL, setting up custom formats, and filtering out unwanted information.
The data sync between Qminder and MYSQL typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Qminder and MYSQL. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Qminder is a queue management system designed to streamline customer service and improve the waiting experience. It helps businesses manage queues efficiently, providing real-time data and insights to enhance customer satisfaction.
Learn MoreMySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL) for managing and querying data. It is widely used for its speed, reliability, and flexibility in handling large-scale database applications. MySQL is commonly employed in web development and is a key component of the popular LAMP stack (Linux, Apache, MySQL, PHP/Perl/Python).
Learn More