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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Postgresql (mutiple table)
Get all the data, which was updated in last 15 min, from all the table provided.
New Public File
Trigger When a New Public File is uploaded .
New Public Group
Triggers when a New Public Group created.
New Private File
Trigger When a New Private File is uploaded .
Do thisActions
Action is the task that follows automatically within your PostgreSQL integrations.
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.
Create Group
Creates a grpoup in your Pinata account.
Search Groups
Search groups based on Filter.
Update Group
Updates an existing Group.
Update Files
Update an existing file.
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Frequently Asked Questions
To start, connect both your PostgreSQL and Pinata accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in Pinata (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in Pinata. This includes choosing which data fields go into which fields of Pinata, setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and Pinata 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 PostgreSQL and Pinata. 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 Pinata
Pinata is a cloud-based platform that simplifies the process of uploading and managing files on the IPFS (InterPlanetary File System) network. It offers secure, decentralized storage solutions with seamless API integration, making it ideal for developers, content creators, and businesses managing large amounts of data.
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