Asset export (basic) package

The asset export (basic) package identifies all assets that could have been enriched in some way through Atlan's UI and extracts them. The resulting CSV file can be modified or enriched, and then loaded back using the asset import package.

All assets

In this example, we’re building and running the asset-export workflow to export all assets.

However, you can also use one of the following methods to customize the scope of your asset export workflow:

• enriched_only(): sets up the package to export only assets enriched by users.
• glossaries_only(): sets up the package to export only glossaries.
• products_only(): sets up the package to export only data products.
• all_assets(): sets up the package to export all assets, whether enriched by users or not, will be exported.

Java

Coming soon

Python

Import assets from the object store

from pyatlan.client.atlan import AtlanClient
from pyatlan.model.packages import AssetExportBasic

client = AtlanClient()

workflow = (
    AssetExportBasic() # (1)
    .all_assets( # (2)
        prefix="default",
        include_description=True,
        include_glossaries=True,
        include_data_products=True,
        include_archived=True,
    )
    .object_store(prefix="/test/prefix") # (3)
    .s3( # (4)
        access_key="test-access-key",
        secret_key="test-secret-key",
        bucket="my-bucket",
        region="us-west-1",
    )
).to_workflow() # (5)

response = client.workflow.run(workflow)  # (6)

1. The AssetExportBasic package exports assets from Atlan.

2. In this example, we’re building a workflow to export all_assets(). However, you can also use one of the following methods to customize the scope of your asset export workflow:

   • enriched_only(): sets up the package to export only assets enriched by users.
   • glossaries_only(): sets up the package to export only glossaries.
   • products_only(): sets up the package to export only data products.
   • all_assets(): sets up the package to export all assets, whether enriched by users or not, will be exported.

   For all_assets(), you need to provide following:

   • prefix: starting value for a qualifiedName that will determine which assets to export, default: default (all data assets).
   • include_description: whether to extract only user-entered description (False), or to also include system-level description (True).
   • include_glossaries: whether glossaries (and their terms and categories) should be exported (True) or not (False).
   • include_data_products: whether data products (and their domains) should be exported (True) or not (False).
   • include_archived: whether to include archived assets in the export (True) or only active assets (False).

3. To set up the package to export to an object storage location, you need to provide

   • prefix: directory (path) within the object store where the exported file will be uploaded.

4. In this example, we're exporting assets to an object storage location using s3(). However, you can use different object storage methods such as gcs() or adls(). You can also configure different export delivery methods using one of the following methods:

   • email(): sets up the package to deliver the export via email.
   • direct(): sets up the package to deliver the export via direct download.

   For s3(), you need to provide following:

   • access_key: AWS access key.
   • secret_key: AWS secret key.
   • bucket: S3 bucket to upload the export file to.
   • region: name of the AWS region.

5. Convert the package into a Workflow object.

6. Run the workflow by invoking the run() method on the workflow client, passing the created object.

   Workflows run asynchronously

Remember that workflows run asynchronously. See the packages and workflows introduction for details on how to check the status and wait until the workflow has been completed. :::

Kotlin

Coming soon

Raw REST API

Create the workflow via UI only

We recommend creating the workflow only via the UI. To rerun an existing workflow, see the steps below.

Re-run existing workflow

To re-run an existing asset export basic workflow:

Java

Coming soon

Python

Re-run existing asset export basic workflow

from pyatlan.client.atlan import AtlanClient
from pyatlan.model.enums import WorkflowPackage

client = AtlanClient()

existing = client.workflow.find_by_type(  # (1)
  prefix=WorkflowPackage.ASSET_EXPORT_BASIC, max_results=5
)

# Determine which asset export basic workflow (n)
# from the list of results you want to re-run.
response = client.workflow.rerun(existing[n]) # (2)

1. You can find workflows by their type using the workflow client find_by_type() method and providing the prefix for one of the packages. In this example, we do so for the AssetExportBasic. (You can also specify the maximum number of resulting workflows you want to retrieve as results.)

2. Once you've found the workflow you want to re-run, you can simply call the workflow client rerun() method.

   • Optionally, you can use rerun(idempotent=True) to avoid re-running a workflow that's already in running or in a pending state. This will return details of the already running workflow if found, and by default, it's set to False.
   Workflows run asynchronously

Remember that workflows run asynchronously. See the packages and workflows introduction for details on how you can check the status and wait until the workflow has been completed. :::

Kotlin

Coming soon

Raw REST API

Requires multiple steps through the raw REST API

1. Find the existing workflow.
2. Send through the resulting re-run request.

POST /api/service/workflows/indexsearch

{
  "from": 0,
  "size": 5,
  "query": {
    "bool": {
      "filter": [
        {
          "nested": {
            "path": "metadata",
            "query": {
              "prefix": {
                "metadata.name.keyword": {
                  "value": "csa-asset-export-basic" // (1)
                }
              }
            }
          }
        }
      ]
    }
  },
  "sort": [
    {
      "metadata.creationTimestamp": {
        "nested": {
          "path": "metadata"
        },
        "order": "desc"
      }
    }
  ],
  "track_total_hits": true
}

1. Searching by the csa-asset-export-basic prefix will make sure you only find existing asset export basic workflows.

   Name of the workflow

The name of the workflow will be nested within the _source.metadata.name property of the response object. (Remember since this is a search, there could be multiple results, so you may want to use the other details in each result to determine which workflow you really want.) :::

POST /api/service/workflows/submit

{
  "namespace": "default",
  "resourceKind": "WorkflowTemplate",
  "resourceName": "csa-asset-export-basic-1684500411" // (1)
}

2. Send the name of the workflow as the resourceName to rerun it.