Cinchy Table

Overview

Cinchy Tables are commonly used data sync sources.

Example use case

You want to set up batch sync between a Cinchy Table and HubSpot to sync important sales analytics information. You can do so by using the Cinchy Table as your source, and a REST API as your target.

The Cinchy Table source supports batch syncs. To do a real-time sync from a Cinchy Table, you would use the Cinchy Event Broker/CDC Source instead.

Info tab

You can find the parameters in the Info tab below (Image 1).

Values

Parameter	Description	Example
Title	Mandatory. Input a name for your data sync	Cinchy to HubSpot
Variables	Optional. Review our documentation on Variables here for more information about this field.
Permissions	Data syncs are role based access systems where you can give specific groups read, write, execute, and/or all of the above with admin access. Inputting at least an Admin Group is mandatory.

Image 1: The Info Tab

Source tab

The following table outlines the mandatory and optional parameters you will find on the Source tab (Image 2).

Source Details

The following parameters will help to define your data sync source and how it functions.

Parameter	Description	Example
Source	Mandatory. Select your source from the drop down menu.	Cinchy Table
Domain	Mandatory. The domain where your source table resides.	Product
Table Name	Mandatory. The name of you source table.	Q1 Sales
Suppress Duplicate Errors	Optional. This field determines whether duplicate keys in the source are to be reported as warnings (unchecked) or ignored (checked). The default is unchecked. Checking this box can be useful in the event that you only want to load the distinct values from a collection of columns in the source.

Schema

The Schema section is where you define which source columns you want to sync in your connection. You can repeat the values for multiple columns.

Parameter	Description	Example
Name	Mandatory. The name of your column as it appears in the source.	Name
Alias	Optional. You may choose to use an alias on your column so that it has a different name in the data sync.
Data Type	Mandatory. The data type of the column values.	Text
Description	Optional. You may choose to add a description to your column.

Select Show Advanced for more options for the Schema section.

Parameter	Description	Example
Mandatory	If both Mandatory and Validated are checked on a column, then rows where the column is empty are rejected If just Mandatory is checked on a column, then all rows are synced with the execution log status of failed, and the source error of "Mandatory Rule Violation" If just Validated is checked on a column, then all rows are synced.
Validate Data	If both Mandatory and Validated are checked on a column, then rows where the column is empty are rejected If just Validated is checked on a column, then all rows are synced.
Trim Whitespace	For Text data types, you can choose whether to trim the whitespace._
Max Length	Optional. You can input a numerical value in this field that represents the maximum length of the data that can be synced in your column. If the value is exceeded, the row will be rejected (you can find this error in the Execution Log).

You can choose to add in a Transformation > String Replacement by inputting the following:

Parameter	Description	Example
Pattern	Mandatory if using a Transformation. The pattern for your string replacement.
Replacement	What you want to replace your pattern with.

Note that you can have more than one String Replacement

Filter

You have the option to add a source filter to your data sync. Please review the documentation here for more information on source filters.

Image 2: Define your Source

Next steps

• Configure your Destination

• Define your Sync Actions.

• Add in your Post Sync Scripts, if required.

• Click Jobs > Start a Job to begin your sync.