# Reading Deprecation On Datasets

## Why Would You Read Deprecation?

Deprecation indicates the status of an entity. For datasets, keeping the deprecation status up-to-date is important to inform users and downstream systems of changes to the dataset's availability or reliability. By updating the status, you can prevent issues and ensure users have access to the most reliable data.

### Goal Of This Guide

This guide will show you how to read the deprecation status of dataset `fct_users_created`.

## Prerequisites

For this tutorial, you need to deploy DataHub Quickstart and ingest sample data.
For detailed steps, please refer to [Datahub Quickstart Guide](/docs/quickstart.md).

:::note
Before reading the deprecation status, you need to ensure the targeted dataset is already present in your datahub.
If you attempt to manipulate entities that do not exist, your operation will fail.
In this guide, we will be using data from sample ingestion.
If you want to know how to create datasets using APIs & SDKs, please refer to [Creating Datasets](/docs/api/tutorials/creating-datasets.md).
:::

## Read Deprecation With GraphQL

:::note
Please note that there are two available endpoints (`:8000`, `:9002`) to access GraphQL.
For more information about the differences between these endpoints, please refer to [DataHub Metadata Service](../../../metadata-service/README.md#graphql-api)
:::

### GraphQL Explorer

GraphQL Explorer is the fastest way to experiment with GraphQL without any dependencies.
Navigate to GraphQL Explorer (`http://localhost:9002/api/graphiql`) and run the following query.

```json
query {
  dataset(urn: "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created,PROD)") {
    deprecation {
      deprecated
      decommissionTime
    }
  }
}
```

If you see the following response, the operation was successful:

```python
{
  "data": {
    "dataset": {
      "deprecation": {
        "deprecated": false,
        "decommissionTime": null
      }
    }
  },
  "extensions": {}
}
```

### CURL

With CURL, you need to provide tokens. To generate a token, please refer to [Access Token Management](/docs/api/graphql/token-management.md).
With `accessToken`, you can run the following command.

```shell
curl --location --request POST 'http://localhost:8080/api/graphql' \
--header 'Authorization: Bearer <my-access-token>' \
--header 'Content-Type: application/json' \
--data-raw '{ "query": "{ dataset(urn: \"urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created,PROD)\") { deprecation { deprecated decommissionTime } } }", "variables":{} }'
```

Expected Response:

```json
{
  "data": {
    "dataset": {
      "deprecation": { "deprecated": false, "decommissionTime": null }
    }
  },
  "extensions": {}
}
```

## Read Deprecation With Python SDK

The following code reads the deprecation status of dataset `fct_users_created`.

> Coming Soon!

We're using the `MetdataChangeProposalWrapper` to change entities in this example.
For more information about the `MetadataChangeProposal`, please refer to [MetadataChangeProposal & MetadataChangeLog Events](/docs/advanced/mcp-mcl.md)