> For the complete documentation index, see [llms.txt](https://lern.sunbird.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lern.sunbird.org/use/developer-guide/ml-service/data-pipeline-flink-jobs/ml-user-delete/component-diagram.md).

# Component Diagram

<figure><img src="/files/G838d8vS30us547XzEv2" alt=""><figcaption></figcaption></figure>

The Ml User Delete service is constructed upon the framework of Flink, Kafka and Mongo, a powerful approach for updating and managing data in a scalable and real-time manner.

1. **Apache Kafka** is a distributed event streaming platform that is designed for handling high volumes of real-time data. In this service, Kafka generates user data (userId, organisationId) as a JSON event when a user chooses to remove their account from the Sunbird platform.
2. **Apache Flink** is a stream processing framework that provides high-throughput, low-latency, and exactly-once processing of streaming data. Flink uses the Kafka event and establishes a connection with the Mongo database to update documents from various collections.
3. **Mongo Database** is a distributed NoSQL database that is designed to handle massive amounts of data across many commodity servers, ensuring high availability and fault tolerance. User data containing user personally identifiable information will be updated.

**Configuration variables:**

<table><thead><tr><th width="246">Variable</th><th>Default Value</th><th>Purpose</th></tr></thead><tbody><tr><td>kafka.input.topic</td><td>{{env}}.delete.user</td><td>Kafka topic from which messages/events are read to be processed.</td></tr><tr><td>kafka.groupId</td><td>{{env}}ml-user-delete-group</td><td>Kafka input topic group Id</td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://lern.sunbird.org/use/developer-guide/ml-service/data-pipeline-flink-jobs/ml-user-delete/component-diagram.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.