Cinchy Event Broker/CDC

Overview

The Cinchy Event Broker/CDC (Change Data Capture) source allows you to capture data changes on your table and use these events in your data syncs.

Use Case

To mitigate the labour and time costs of hosting information in a silo and remove the costly integration tax plaguing your IT teams, you want to connect your legacy systems into Cinchy to take advantage of the platform's sync capabilities.

To do this, you can set up a real-time sync between a Cinchy Table and Salesforce that updates Salesforce any time data is added, updated, or deleted on the Cinchy side. If you enable change notifications on your Cinchy table, you can set up a data sync and listener config with your source as the Cinchy Event Broker/CDC.

tip

The Cinchy Event Broker/CDC supports both batch syncs and real-time syncs (most common).

Remember to set up your listener config if you are creating a real-time sync.

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	CDC
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 the above with admin access. Inputting at least an Admin Group is mandatory.

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 Event Broker/CDC
Run Query	Optional. If true, executes a saved query. Uses the Cinchy ID of the changed record as a parameter. See Appendix A for more.
Path to Iterate	Optional. Provides the JSON path to the array of items you want to sync. Applicable if your event message contains JSON values.

Listener Configuration

To set up a real-time sync, you must configure your Listener values. You can do so through the Connections UI.

If there is more than one listener associated with your data sync, you will need to configure the addition listeners via the Listener Configuration table.

If you are creating a CDC listener config for a Cinchy Event Triggered REST API data source, pay in mind the following unique constraints:

• Column names in the listener config shouldn't contain spaces. If they do, they will be automatically removed. For example, a column named First Name will become @FirstName.
• The replacement variable names are case sensitive.
• Column names in the listener config shouldn't be prefixes of other column names. For example, if you have a column called Name, you shouldn't have another called "Name2" as the value of @Name2 may end up being replaced by the value of @Name suffixed with a 2.

Reset behaviour

Parameter	Description	Example
Auto Offset Reset	Earliest, Latest or None. In the case where the listener is started and either there is no last message ID, or when the last message ID is invalid (due to it being deleted or it's just a new listener), it will use this column as a fallback to determine where to start reading events from. Earliest will start reading from the beginning of the queue (when the CDC was enabled on the table). This might be a suggested configuration if your use case is recoverable or re-runnable and if you need to reprocess all events to ensure accuracy. Latest will fetch the last value after whatever was last processed. This is the typical configuration. None won't start reading any events. You are able to switch between Auto Offset Reset types after your initial configuration through the process outlined here.	None

Topic JSON

A Topic JSON is necessary for all real-time syncs. Enter your JSON parameters through the Connections UI, or edit them directly through the Listener Configuration table..

Topic JSON parameters

Parameter	Description	Example Value
tableGuid	Mandatory. GUID of the table you are reading from.	ef6710ca-6e59-4b4a-86d3-f6d24ed7658b
fields	Array of objects specifying columns to fetch.	See fields section below.
filter	WHERE clause for filtering records.	New.[Is Valid] = 1 AND (New.[Is Excluded] = 0 OR New.[Is Excluded] IS NULL)
messageKeyExpression	The messageKeyExpression parameter specifies a key that the listener application uses to route messages into specific topics within a Kafka broker. See below for more information.	value
next_cursor	The next_cursor parameter serves as an offset marker for paginated data retrieval in API requests. It helps in fetching large data sets chunk by chunk, making the process more manageable and efficient.	ABCS
batchSize	Number of records read per request.	1000

Fields Section

The following expands on the available parameters within the fields section above.

Field Property	Description	Example Value
column	Column name to fetch from the table.	Cinchy Id
alias	Alias for the column.	CinchyId
deserializeJsonValue	Converts text to JSON on read out.	true

Topic JSON example

The following is a topic JSON example:

{
  "tableGuid": "420c1851-31ed-4ada-a71b-31659bca6f92",
  "fields": [
    {
      "column": "Cinchy Id",
      "alias": "CinchyId"
    },
    {
      "column": "First Name",
      "alias": "Firstname"
    },
    {
      "column": "Last Name",
      "alias": "Lastname"
    }
  ],
  "messageKeyExpression": "CONCAT(New.[CinchyId], '-', New.[Name])",
  "filter": "New.[Lastname] IS not null OR (New.[CinchyId] is not null)",
  "batchSize": 100
}

Listener Configuration Parameters

messageKeyExpression

Each of your Event Listener message keys a message key. By default, this key is dictated by the Cinchy ID of the record being changed.

When the worker processes your Event Listener messages, it does so in batches, and for efficiency and to guarantee order, messages that contain the same key won't be processed in the same batch.

The messageKeyExpression property allows you to change the default message key to something else.

Use Case

• Ensuring records with the same message key can be updated with the proper ordering to reflect an accurate collaboration log history.

Example Syntax

In this example, we want the message key to be based on the [Employee Id] and [Name] column of the table that CDC is enabled on.

{ "messageKeyExpression": "CONCAT(New.[Employee Id], '-', New.[Name])", … }

Old vs New Filter

The Cinchy Event Broker/CDC Stream Source has the unique capability to use "Old" and "New" parameters when filtering data. This filter can be a powerful tool for ensuring that you sync only the specific data that you want.

The "New" and "Old" parameters are based on updates to single records, not columns/rows.

"New" Example:

In the below filter, we only want to sync data where the [Approval State] of a record is newly Approved. For example, if a record was changed from Draft to Approved, the filter would sync the record.

::: info Due to internal logic, newly created records will be tagged as both **New** and **Old**. :::

"filter": "New.[Approval State] = 'Approved'

"Old" Example:

In the below filter, we only want to sync data where the [Status] of a record was In Progress but has since been updated to any other [Status]. For example, if a record was changed from In Progress to Done, the filter would sync the record.

::: info Due to internal logic, newly created records will be tagged as both **New** and **Old**. :::

"filter": "Old.[Status] = `In Progress`

Connection Attributes

You don`t need to provide Connections Attributes when using the Cinchy CDC Stream Source.

If you're inputting your configuration via the Listener Config table, you must insert the below text into the column:

{}

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	Optional if data type = text. For Text data types, you can choose whether to trim the whitespace._
Max Length	Optional if data type = text. 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.

Filter

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

Next steps

• Configure your Destination.
• Define your Sync Actions.
• Add in your Post Sync Scripts, if required.
• If more than one listener is needed for a real-time sync, configure it/them via the Listener Config table.
• To run a real-time sync, enable your Listener from the Execution tab.

Appendix A - Source Parameters

The following sections outline more information about specific parameters you can find on this source.

Run Query

The Run Query parameter is available as an optional value for the Cinchy Event Broker/CDC connector. If set to true it executes a saved query; whichever record triggered the event becomes a parameter in that query. Thus the query now becomes the source instead of the table itself.

You are able to use any parameters defined in your listener config.

Example

The example below is a data sync using the Event Broker/CDC as a source. Our Listener Config has been set with the CinchyID attribute (Image 4).

We can enable the Run Query function to use the saved query "CDC Product Ticket Datestamps" as our source instead (Image 5). If we change the data from Record A in our source table to trigger our event, the Query Parameters below show that the Cinchy ID of Record A will be used in the query. This query is now our source.

It would appear in the data sync config XML as follows:

  <CinchyEventBrokerDataSource runQuery="true" domain="Product" name="CDC Product Ticket Datestamp" parameters="{&quot;@id&quot;: &quot;Cinchy Id&quot; }">