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On this page
  • 1. Overview
  • 1.1 Considerations
  • 2. Info Tab
  • 3. Source Tab
  • 4. Next Steps
  • Appendix A
  • Data Types

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  1. Data Syncs
  2. Supported Data Sync Sources

MongoDB Collection

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Last updated 1 year ago

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1. Overview

is a scalable, flexible NoSQL document database platform known for its horizontal scaling and load balancing capabilities, which has given application developers an unprecedented level of flexibility and scalability.

1.1 Considerations

Please review the following considerations prior to setting up your MongoDB Collection data sync source:

  • We currently only support SCRAM authentication (Mongo 4.0+).

  • Syncs are column based. This means that you must flatten the MongoDB source document prior to sync by using a projection (See section 2: Projection (JSON Object)).

  • The column names used in the source must match elements on the root object, with the exception of "$" which can be used to retrieve the full document.

  • By default, MongoDB batch size is 101.

  • By default, bulk operations size is 5000.

  • Due to a conversion of doubles to decimals that occurs during the sync process, minor data losses may occur.

  • The following data types are not supported:

    • Binary Data

    • Regular Expression

    • DBPointer

    • JavaScript

    • JavaScript code with scope

    • Symbol

    • Min Key

    • Max Key

  • The following data types are supported with conversions:

    • ObjectID is supported, but converted to string

    • Object is supported, but converted to JSON

    • Array is supported, but converted to JSON

    • Timestamp is supported, but converted to 64-bit integers

The MongoDB Collection source supports batch syncs. (To enable real-time syncs with MongoDB, use the MongoDB Collection (Cinchy Event Triggered) source 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

MongoDB to Cinchy

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.

MongoDB Collection

Connection String

Example (Default):

mongodb+srv://<username>:<password>@<mongo host URI>

Example (Against different database):

mongodb+srv://<username>:<password>@<mongo host URI>?authSource=<authentication_db>

Database

Blog

Collection

Article

Type

Query (JSON Object)

A query for retrieving your data. This option appears if you have selected db.collection.find().

Projection (JSON Object)

This option appears if you have selected db.collection.find(). Syncs are column based. This means that you must flatten the MongoDB source document prior to sync using a projection.

Pipeline (JSON Array of Objects)

Use SSL

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.

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

Optional if data type = text. 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 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, 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

Example Query

// query: where "Price" is less than 10

blog> db.Articles.find({ "Price": { "$lt": 10 } })
[
  {
    _id: ObjectId("63d8137bd755fcdeed234403"),
    Name: 'Shirt',
    Price: 9.95,
    Details: { Color: 'White', Size: 'Small' },
    Stock: 61
  }
]

Example Projection

// Flatten the document

blog> db.Articles.find({}, { Name: 1, Price: 1, Color: "Details.Color", Size: "Details.Size", Stock: 1 })
[
  {
    _id: ObjectId("63d812afd755fcdeed234402"),
    Name: 'Shirt',
    Price: 19.95,
    Stock: 12,
    Color: 'Details.Color',
    Size: 'Details.Size'
  },
  {
    _id: ObjectId("63d8137bd755fcdeed234403"),
    Name: 'Shirt',
    Price: 9.95,
    Stock: 61,
    Color: 'Details.Color',
    Size: 'Details.Size'
  }
]

4. Next Steps

  • To run a batch sync, select Jobs > Start Job.

Appendix A

Data Types

The MongoDB Collection Data Source obtains BSON documents from MongoDB. BSON, short for Binary JSON, is a binary-encoded serialization of JSON-like documents. Like JSON, BSON sup­ports the em­bed­ding of doc­u­ments and ar­rays

with­in other documents and arrays. BSON also con­tains extensions that allow representation of data types that are not part of the JSON spec. For ex­ample BSON makes a distinction between Int32 and Int64.

The following table shows how MongoDB data types are translated in Cinchy.

MongoDB
Cinchy
Notes

Double

Number

Supported

String

Text

Supported

Object

Text (JSON)

Supported

Array

Text (JSON)

Supported

Binary Data

Binary

Unsupported

ObjectId

Text

Supported

Boolean

Bool

Supported

Date

Date

Supported

Null

-

Supported

RegEx

-

Unsupported

JavaScript

-

Unsupported

Timestamp

Number

Supported

32-bit Integer

Number

Supported

64-bit Integer

Number

Supported

Decimal28

Number

Supported

Min Key

-

Unsupported

Max Key

-

Unsupported

-

Geography

Unsupported

-

Geometry

Unsupported

Optional. Review our for more information about this field.

Mandatory. This is the encrypted connection string. You can review MongoDB's Connection String guide and parameter descriptions Do not include the /[database] in your connection URL. By default services like MongoDB Atlas will automatically include it when copying the connection string. If authenticating against a database other than the admin db, please provide the name of the database associated with the user’s credentials using the authSource parameter.

Mandatory. The name of the that contains the collection listed in the "Collection" parameter.

Mandatory. The name of your

Mandatory. The method for retrieving your data. This will be either: - db.collection.find(): This method is used to select documents in a collection when there is no need to transform (e.g. flatten or aggregate) the data. It is used for basic queries where query and projection are sufficient. - db.collection.aggregate(): This method is used when there is a need to transform the data in a collection. It is used for more complex scenarios with single or multi-stages pipelines. In general, you will yield the quickest performance by using the find method, unless you need a

consists of one or more stages that process documents. This option appears if you have selected db.collection.aggregate().

This checkbox can be used to define the use of authentication for your sync. If checked, you will need to input the following values taken from your cert: - SSL Key PEM - SSL Certificate PEM - SSL CLA PEM

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.

Define your .

To run a real-time sync (using the Cinchy Event Triggered MongoDB Source), and enable it to begin your sync.

MongoDB
Destination
Sync Behaviour
Post Sync Scripts
set up your Listener Config
documentation on Parameters here
here.
MongoDB database
MongoDB collection.
specific aggregation operator.
An aggregation pipeline
x.509 certificate
Example Query
Example Projection
You can review the supported data types and their translations here.
Permissions
Schema
Image 1: The Info Tab
Image 2: The Source Tab