v5.0 - v5.5 Data Sync Documentation
  • Overview
  • Release Notes
    • V4.5
    • V4.6
    • v4.7
    • v4.8
    • v4.9
    • v4.10
    • v4.12
    • v4.13
  • v4 Connections Installation Guide
    • v5 Connections and CLI Installation Guide
  • v4 Worker/Listener Installation Guide
    • v5 Worker/Listener Installation Guide
  • Upgrades & Config Changes
  • Builder Guide
    • Overview
    • Types of Data Syncs
    • Subscribing to Event Streams
      • Supported Stream Sources
        • Amazon Simple Queue Service (SQS)
        • Cinchy Change Data Capture
        • Data Polling
        • Kafka Topic
        • MongoDB
        • Salesforce
          • Push Topic
          • Platform Event
    • Configuring a Data Sync
      • Connections Experience & XML Config Reference
        • Info
          • Parameters
            • String Escape
        • Source Config Reference
          • Schema Columns
            • Calculated Column Examples
          • Auth Requests
          • Request Headers
          • Pagination
          • Source Filter
        • Target Destination Config Reference
          • Column Mappings
          • Target Destination Filter
        • Sync Behaviour
        • Post Sync
        • Permissions
        • Jobs
        • Connections Usage Example
      • Data Validation
      • Transformations
        • StringReplacement
      • Supported Data Sources
        • File Based Source
          • Binary File
            • Binary File Data Source Example
          • Delimited File
            • Delimited File Data Source XML Example
          • Fixed Width File
          • Excel
            • Excel Source XML Example
        • Cinchy Event Broker/CDC
          • Cinchy Event Broker/CDC XML Config Example
        • Cinchy Table
          • Cinchy Table XML Config Example
        • Cinchy Query
          • Cinchy Query Data Source Example
        • Copper
        • DB2
        • Dynamics 2015
        • Dynamics
        • DynamoDB
        • Kafka Topic
          • Apache AVRO Data Format
          • Kafka Topic Source Example
        • LDAP
        • MongoDB Collection
          • MongoDB Collection Source XML Example
        • MongoDB Collection (Cinchy Event Triggered)
        • MS SQL Server Query
        • MS SQL Server Table
        • ODBC Table
        • ODBC Query
        • Oracle Table
        • Oracle Query
        • Parquet
        • Polling Event
          • Polling Event Example
        • REST API (Cinchy Event Triggered)
        • REST API
          • REST API XML Example
        • SAP SuccessFactors
        • Salesforce Object (Bulk API)
        • Salesforce Platform Event
        • Salesforce Push Topic
        • Snowflake
          • Snowflake Source XML Example
        • SOAP 1.2 Web Service
      • Supported Sync Targets
        • Cinchy Table
        • DB2 Table
        • Dynamics
        • Kafka Topic
        • MongoDB Collection (Column Based)
        • MS SQL Server Table
        • Oracle Table
        • REST API
        • Salesforce
        • Salesforce Object
        • Snowflake Table
          • Snowflake Table Target XML Example
        • SOAP 1.2 Web Service
    • Common Design Patterns
    • Testing a Data Sync
    • Promoting a Data Sync
    • Scheduling a Data Sync
    • CLI Command List
    • Connections Functions
    • Monitoring
  • Cinchy Platform Documentation
Powered by GitBook
On this page
  • 1. Overview
  • 2. Info Tab
  • 3. Source Tab

Was this helpful?

  1. Builder Guide
  2. Configuring a Data Sync
  3. Supported Data Sources

Cinchy Table

PreviousCinchy Event Broker/CDC XML Config ExampleNextCinchy Table XML Config Example

Last updated 2 years ago

Was this helpful?

1. 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 instead.

2. Info Tab

You can review the parameters that can be found in the info tab below (Image 1).

Values

Parameter
Description
Example

Title

Mandatory. Input a name for your data sync

Cinchy to Hubspot

Version

Mandatory. This is a pre-populated field containing a version number for your data sync. You can override it if you wish.

1.0.0

Parameters

3. Source Tab

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

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.

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.

There are other options available for the Schema section if you click on Show Advanced.

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

If your data type was chosen as "text", you can choose whether to trim the whitespace (that is, spaces and other non-printing characters).

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, i.e. the string that will be searched and replaced.

Replacement

What you want to replace your pattern with.

Note that you can have more than one String Replacement

Optional. Review our documentation on for more information about this field.

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

documentation here
Parameters here
Cinchy Event Broker/CDC Source
Image 1: The Info Tab
Image 2: Define your Source