✦TL;DR

Learn how to crawl Teradata assets and publish them to Atlan for discovery.

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Teradata assets app

The Teradata assets app crawls Teradata databases, tables, views, and columns and publishes them to Atlan. Build it with the TeradataCrawler builder.

Creating an app creates a new connection

Each create mints a new connection and new assets. To re-crawl, re-run the existing workflow (see Re-run an existing app).

Teradata supports two authentication methods: basic (TD2) and LDAP.

Basic authentication

Python

Teradata crawling with basic auth

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

client = AtlanClient()

response = (
    TeradataCrawler(client)
    .basic( # (1)
        username="atlan_user", # (2)
        password="••••••", # (3)
        host="teradata.example.com", # (4)
    )
    .connection(
        name="production-teradata",
        admin_roles=[client.role_cache.get_id_for_name("$admin")],
    )
    .include_metadata({"my_db": ["sales", "marketing"]}) # (5)
    .run(name="teradata-prod")
)
print(response.slug, response.run_id)

1. Step 1—Credential. Username/password (TD2) auth; the secret is vaulted.
2. Required. Username.
3. Required. Password.
4. Optional. Host. The port (port=) is optional.
5. Databases/schemas to crawl, as {database: [schema, ...]}.

LDAP authentication

Python

Teradata crawling with LDAP

(
    TeradataCrawler(client)
    .ldap(username="atlan_user", password="••••••", host="teradata.example.com") # (1)
    .connection(name="production-teradata", admin_roles=[...])
    .run(name="teradata-prod")
)

1. LDAP auth—same parameters as basic; host and port are optional.

Configuration options

All metadata options are optional:

Python

Teradata metadata configuration

(
    TeradataCrawler(client)
    .basic(username="atlan_user", password="••••••", host="...")
    .connection(name="production-teradata", admin_roles=[...])
    .include_metadata({"my_db": ["sales", "marketing"]}) # (1)
    .exclude_metadata({"my_db": ["staging"]}) # (2)
    .exclude_regex_for_tables_views(".*_tmp$") # (3)
    .enable_source_level_filtering(False) # (4)
    .advanced_config("...") # (5)
    .run(name="teradata-prod")
)

1. Databases/schemas to include, as {database: [schema, ...]}.
2. Databases/schemas to exclude—exclude takes priority over include.
3. Regex of tables/views to ignore.
4. Apply schema-level filtering at the source (only include-filter schemas are fetched).
5. Controls experimental crawler features.