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  1. Data syncs
  2. Data sync sources

Mongo event

PreviousMongoDB collection source exampleNextMongoDB collection (Cinchy event)

Last updated 1 year ago

Overview

The MongoDB Event stream source works similar to Cinchy's Change Data Capture functionality. The listener subscribes to monitor the change stream of a specific collection in the database of the MongoDB server. Any actions performed on document(s) inside of that collection are picked up by the listener and sent to the queue.

Limitations

To use change streams in MongoDB, there are a few requirements your environment must meet.

  • The database must be in a or .

  • The database must use the storage engine.

  • The replica set or sharded cluster must use replica set protocol .

The MongoDB Event source supports real-time syncs.

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

Mongo Event to Cinchy

Variables

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.

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.

MongoDB Event

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

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.

None

Topic JSON

The below table can be used to help create your Topic JSON needed to set up a real-time sync.

Parameter
Description
Example

Database

Cinchy

Collection

Employee

Pipeline Stages

Optional. This parameter allows you to specify pipeline stages with filters.

  • Each stage performs an operation on the input documents. For example, a stage can filter documents, group documents, and calculate values.

  • The documents that are output from a stage are passed to the next stage.

  • An aggregation pipeline can return results for groups of documents. For example, return the total, average, maximum, and minimum values.

See the Example Topic JSON below. Our example config uses a filter to return documents with an ID between 0 and 10,000 AND documents with the location set to Montreal, OR where the operation type is 'delete'

Example Topic JSON

{
	"database": "cinchy",
	"collection": "employee",
        "changeStreamSettings": {
		"pipelineStages": [
			"{ $match: {
                                       $or: [ 
                                           { $and: [
                                                { 'fullDocument.id': { $gt: 0, $lt: 10000 } }, 
                                                { 'fullDocument.location': 'Montreal' } ] 
                                           }, 
                                           { 'operationType': 'delete' } 
                                      ]
                                } }"
		]
	}
}

Connection Attributes

The below table can be used to help create your Connection Attributes JSON needed to set up a real-time sync.

Parameter
Description
Example

connectionString

mongodb://localhost:9877

{
	"connectionString": "mongodb://localhost:9877"
}
Parameter
Description
Example

Name

Mandatory. The name of your column as it appears in the source. This field is case sensitive and preserves spaces.

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

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.

Note that you can have more than one String Replacement

Next steps

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

Note that If there is more than one listener associated with your data sync, you will need to configure the addition listeners via

Earliest will start reading from the beginning on 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 read or start reading any events. You are able to switch between Auto Offset Reset types after your initial configuration through the process outlined

Mandatory. The name of your MongoDB

Mandatory. The name of your MongoDB

In MongoDB, an aggregation pipeline consists of one or more that process documents:

Mandatory. Your MongoDB

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

Mandatory. The data type of the column values.

Configure your

Define your

Add in your , if required.

If more than one listener is needed for a real-time sync, configure it/them via

To run a real-time sync, enable your Listener from

the Listener Configuration table.
Destination
Sync Actions.
Post Sync Scripts
the Listener Config table.
the Execution tab.
Variables here
here.
database.
collection.
stages
connection string.
You can review the supported data types and their translations here.
replica set
sharded cluster
WiredTiger
version 1
Schema
Image 1: The Info Tab
Image 2: The Source Tab