| name | aidp-siebel |
| description | Read from Oracle Siebel CRM into a Spark DataFrame in an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions Siebel, Siebel CRM, S_CONTACT, S_ORG_EXT, or has a Siebel host/port. Auth is host/port + database name + user/password. Read-only. |
| allowed-tools | Read, Write, Edit, Bash |
aidp-siebel — Oracle Siebel CRM via AIDP aidataplatform
When to use
- User wants to ingest Siebel CRM data (contacts, accounts, opportunities, service requests) into a Spark DataFrame from an AIDP notebook.
- User mentions: "Siebel", "Siebel CRM", "S_CONTACT", "S_ORG_EXT", "S_OPTY", Siebel base tables.
When NOT to use
Prerequisites in the AIDP notebook
- Helpers on
sys.path (run aidp-connectors-bootstrap first).
- Env vars / OCI Vault secrets:
SIEBEL_HOST, SIEBEL_PORT (typically 1521)SIEBEL_DATABASE_NAME (Oracle SID / service)SIEBEL_USER, SIEBEL_PASSWORDSIEBEL_SCHEMA (typically SIEBEL)SIEBEL_TABLE (a Siebel base table, e.g. S_CONTACT, S_ORG_EXT)
Read
import os
from oracle_ai_data_platform_connectors.aidataplatform import (
AIDP_FORMAT, aidataplatform_options,
)
opts = aidataplatform_options(
type="ORACLE_SIEBEL",
host=os.environ["SIEBEL_HOST"],
port=int(os.environ["SIEBEL_PORT"]),
database_name=os.environ["SIEBEL_DATABASE_NAME"],
user=os.environ["SIEBEL_USER"],
password=os.environ["SIEBEL_PASSWORD"],
schema=os.environ.get("SIEBEL_SCHEMA", "SIEBEL"),
table=os.environ["SIEBEL_TABLE"],
)
df = spark.read.format(AIDP_FORMAT).options(**opts).load()
df.show(10)
Pushdown SQL
Use pushdown.sql to run a complete source query — push joins, filters, and aggregations to the Siebel DB instead of pulling whole base tables into Spark.
opts = aidataplatform_options(
type="ORACLE_SIEBEL",
host=os.environ["SIEBEL_HOST"],
port=int(os.environ["SIEBEL_PORT"]),
database_name=os.environ["SIEBEL_DATABASE_NAME"],
user=os.environ["SIEBEL_USER"],
password=os.environ["SIEBEL_PASSWORD"],
extra={
"pushdown.sql": (
"SELECT C.ROW_ID, C.LAST_NAME, C.FST_NAME, O.NAME AS ACCOUNT "
"FROM SIEBEL.S_CONTACT C "
"JOIN SIEBEL.S_ORG_EXT O ON C.PR_HELD_POSTN_ID = O.ROW_ID "
"WHERE C.STATUS_CD = 'Active'"
),
},
)
df = spark.read.format(AIDP_FORMAT).options(**opts).load()
df.show(10)
Gotchas
- Connector is read-only. Siebel data should be written back through Siebel's EAI/REST channels, not Spark. The connector is intentionally one-way.
- Underlying Oracle DB. Siebel runs on Oracle DB; network reachability rules from
aidp-oracle-db apply.
SIEBEL schema owner. Standard Siebel install owns all base tables (S_*) under the SIEBEL schema. The connector user needs SELECT privs.- Soft-delete columns. Siebel uses
ROW_ID keys and LAST_UPD for incremental ingest. Filter with WHERE LAST_UPD > :since via pushdown.sql for delta loads.
- Audit columns.
CREATED, CREATED_BY, LAST_UPD, LAST_UPD_BY are populated by triggers on every row — useful for change tracking.
References
