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Use standard PowerShell cmdlets to access MongoDB tables.
The CData Cmdlets Module for MongoDB is a standard PowerShell module offering straightforward integration with MongoDB. Below, you will find examples of using our MongoDB Cmdlets with native PowerShell cmdlets.
About MongoDB Data Integration
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
- Access data from MongoDB 2.6 and above, ensuring broad usability across various MongoDB versions.
- Easily manage unstructured data thanks to flexible NoSQL (learn more here: Leading-Edge Drivers for NoSQL Integration).
- Leverage feature advantages over other NoSQL drivers and realize functional benefits when working with MongoDB data (learn more here: A Feature Comparison of Drivers for NoSQL).
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
Getting Started
Creating a Connection to Your MongoDB Data
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
$conn = Connect-MongoDB -Server "$Server" -Port "$Port" -Database "$Database" -User "$User" -Password "$Password"
Selecting Data
Follow the steps below to retrieve data from the restaurants table and pipe the result into to a CSV file:
Select-MongoDB -Connection $conn -Table restaurants | Select -Property * -ExcludeProperty Connection,Table,Columns | Export-Csv -Path c:\myrestaurantsData.csv -NoTypeInformation
You will notice that we piped the results from Select-MongoDB into a Select-Object cmdlet and excluded some properties before piping them into an Export-Csv cmdlet. We do this because the CData Cmdlets append Connection, Table, and Columns information onto each "row" in the result set, and we do not necessarily want that information in our CSV file.
The Connection, Table, and Columns are appended to the results in order to facilitate piping results from one of the CData Cmdlets directly into another one.Deleting Data
The following line deletes any records that match the criteria:
Select-MongoDB -Connection $conn -Table restaurants -Where "Name = Morris Park Bake Shop" | Remove-MongoDB
Inserting and Updating Data
The cmdlets make data transformation easy as well as data cleansing. The following example loads data from a CSV file into MongoDB, checking first whether a record already exists and needs to be updated instead of inserted.
Import-Csv -Path C:\MyrestaurantsUpdates.csv | %{ $record = Select-MongoDB -Connection $MongoDB -Table restaurants -Where ("_id = `'"+$_._id+"`'") if($record){ Update-MongoDB -Connection $mongodb -Table restaurants -Columns ("borough","cuisine") -Values ($_.borough, $_.cuisine) -Where ("_id = `'"+$_._id+"`'") }else{ Add-MongoDB -Connection $mongodb -Table restaurants -Columns ("borough","cuisine") -Values ($_.borough, $_.cuisine) } }
As always, our goal is to simplify the way you connect to data. With cmdlets users can install a data module, set the connection properties, and start building. Download Cmdlets and start working with your data in PowerShell today!