Fivetran enrichment package

The Fivetran enrichment package enriches existing assets in Atlan associated with Fivetran connectors with column-level lineage.

Requires access to Fivetran's metadata API

Direct API

Will create a new connection

This should only be used to create the workflow the first time. Each time you run this method it will create a new connection and new assets within that connection — which could lead to duplicate assets if you run the workflow this way multiple times with the same settings.

Instead, when you want to re-crawl assets, re-run the existing workflow (see Re-run existing workflow below).

1.0.0

To enrich assets from Fivetran via API:

Java Python Raw REST API

Workflow fivetran = FivetranCrawler.directApiAuth( // (1)
                "production", // (2)
                "E77yqOsBPrRXpVp0", // (3)
                "XLQR73AKwGYmjzk5vlBMAUG4wo13VyY"; // (4)
WorkflowResponse response = fivetran.run(); // (5)

1. The FivetranCrawler package will create a workflow to enrich assets from Fivetran. The directApiAuth() method creates a workflow for crawling assets from Fivetran's API.
2. You must provide a name for the connection for Fivetran enrichment. (Though this is currently unused since the workflow only enriches existing assets, and does not create any new assets.)
3. You must provide your API key for access to Fivetran's metadata API.
4. You must specify your API secret for access to Fivetran's metadata API.

5. You can then run the workflow using the run() method on the object you've created.

   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.

Coming soon

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

1.10.6

To re-run an existing workflow for Fivetran assets:

Java Python Raw REST API

List<WorkflowSearchResult> existing = WorkflowSearchRequest // (1)
            .findByType(FivetranCrawler.PREFIX, 5); // (2)
// Determine which of the results is the Fivetran workflow you want to re-run...
WorkflowRunResponse response = existing.get(n).rerun(); // (3)

1. You can search for existing workflows through the WorkflowSearchRequest class.
2. You can find workflows by their type using the findByType() helper method and providing the prefix for one of the packages. In this example, we do so for the FivetranCrawler. (You can also specify the maximum number of resulting workflows you want to retrieve as results.)

3. Once you've found the workflow you want to re-run, you can simply call the rerun() helper method on the workflow search result. The WorkflowRunResponse is just a subtype of WorkflowResponse so has the same helper method to monitor progress of the workflow run.

   • Optionally, you can use the rerun(true) method with idempotency to avoid re-running a workflow that is already in running or in a pending state. This will return details of the already running workflow if found, and by default, it is 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.

Coming soon

Requires multiple steps through the raw REST API

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

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

1. Searching by the atlan-fivetran prefix will ensure you only find existing Fivetran assets 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.)

{
  "namespace": "default",
  "resourceKind": "WorkflowTemplate",
  "resourceName": "atlan-fivetran-1684500411" // (1)
}

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

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