> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-pipeline-5/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-pipeline-5/getting-started/homepage/create/creating-a-new-job/spark-job/readers/mongodb-reader.md).

# MongoDB Reader

This task is used to read data from MongoDB collection.

## Configuring the Meta Information tab fields <a href="#configuring-the-over-all-meta-information-tab-fields" id="configuring-the-over-all-meta-information-tab-fields"></a>

Drag the MongoDB reader task to the Workspace and click on it to open the related configuration tabs for the same. The ***Meta Information*** tab opens by default.

* **Connection Type**: Select the connection type from the drop-down:
  * **Standard**
  * **SRV**&#x20;
  * **Connection String**
* ***Port*** (\*): Provide the Port number (*It appears only with the **Standard** connection type*).
* ***Host IP Address*** (\*): The IP address of the host.
* ***Username*** (\*): Provide a username.
* ***Password*** (\*): Provide a valid password to access the MongoDB.
* ***Database Name*** (\*): Provide the name of the database where you wish to write data.
* ***Additional Parameters***: Provide details of the additional parameters.
* **Cluster Shared:** Enable this option to horizontally partition data across multiple servers.
* **Schema File Name:** Upload Spark Schema file in JSON format.
* ***Query:*** Please provide Mongo Aggregation query in this field.

<figure><img src="/files/2DYKJakWUaUBa76UbRqe" alt=""><figcaption><p><em><strong>MongoDB Reader Task</strong></em></p></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> Please click the **Save Task In Storage** icon to save the configuration for the dragged reader task.*
{% endhint %}


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