Teradata miner app

✦TL;DR

Learn how to mine query history from Teradata to generate lineage and usage metrics.

||

|Connect

The Teradata miner app mines query history from Teradata to generate lineage and usage metrics. Build it with the TeradataMiner builder.

A miner does not create a connection or take a credential—it runs on an existing Teradata connection and reuses that connection's own credential, so you only supply the connection's qualifiedName.

Source extraction

Python

Mine query history from Teradata

from pyatlan.client.atlan import AtlanClient
from pyatlan.model.apps import TeradataMiner

client = AtlanClient()

response = (
    TeradataMiner(client)
    .connection( # (1)
        qualified_name="default/teradata/1700000000",
    )
    .start_date(1704067200) # (2)
    .cross_connection(False) # (3)
    .run(name="teradata-prod-miner") # (4)
)
print(response.slug, response.run_id)

1. Required. The exact qualifiedName of the existing Teradata connection to mine. Its credential is reused—no credential step is needed.
2. Optional. Earliest date (epoch seconds) from which to mine query history. The miner extracts up to two weeks of history; set 0 to use the full window.
3. Optional. Search for lineage across all connections on Atlan instead of just the selected connection. Defaults to false.
4. Always pass an explicit name for miners—a bare .run() defaults to the app id (teradata-miner) and a second run can collide.

Advanced config

Python

Custom feature-flag config

(
    TeradataMiner(client)
    .connection(qualified_name="default/teradata/1700000000")
    .start_date(0)
    .advanced_config("...") # (1)
    .custom_config('{"flag": true}') # (2)
    .run(name="teradata-prod-miner")
)

1. Set advanced configuration of the miner.
2. Custom feature-flag config as a JSON string.