Connect Duply and MYSQL to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Image Created
Triggers when a new image is generated
New Template Created
Triggers when a new template is created
New Video Created
Triggers when a new video is created
Do thisActions
Action is the task that follows automatically within your Duply integrations.
Generate Image
Generate your image from a template
Generate Video
Generate a Video
Find row(s) from a table
Find row(s) via a lookup column.
Execute a Query (advanced)
You can select, create, update or delete row(s) of table via custom SQL query.
Insert Row
Adds a new row into the table.
Update row(s) in a table
Update any existing row in the given table.
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Frequently Asked Questions
To start, connect both your Duply and MYSQL accounts to viaSocket. Once connected, you can set up a workflow where an event in Duply triggers actions in MYSQL (or vice versa).
Absolutely. You can customize how Duply 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 Duply 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 Duply 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.
About MYSQL
MySQL 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).
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