aidp-essbase

Included with Lifetime

$97 forever

Run an MDX query against an Oracle Essbase 21c cube and materialize the result as a Spark DataFrame in an AIDP notebook. Use when the user mentions Essbase, MDX, Essbase 21c, OLAP cube, or wants to read cube data into Spark. Auth is HTTP Basic.

General

What this skill does


# `aidp-essbase` — Essbase 21c MDX → Spark

## When to use
- User wants to run an MDX SELECT against an Essbase 21c cube and load the result into Spark.
- User mentions: "Essbase", "MDX", "OLAP cube", "Essbase REST", "21c cube".

## When NOT to use
- For EPM Cloud Planning (cloud-hosted) → use [`aidp-epm-cloud`](../aidp-epm-cloud/SKILL.md).

## Prerequisites in the AIDP notebook
1. `pip install requests pandas`.
2. Helpers on `sys.path`.
3. Essbase REST URL + Basic credentials.
4. Network reachability AIDP → Essbase host (often on a private subnet — confirm `nc -zv <host> 9000`).

## Auth: HTTP Basic

Essbase 21c REST API expects `Authorization: Basic base64(user:pass)`. **The JET UI redirects to IDCS OAuth, but the REST surface is Basic-only** — passing an OCI session JWT as Bearer fails (different identity provider). Username is the Essbase service-admin (e.g. `Oacadmin1`).

If your Essbase host uses an internal CA chain not trusted by the AIDP cluster (e.g. `cealinfra.com`), pass `verify_tls=False` to the session helper. Live-validated against `https://ess21c.cealinfra.com/`.

```python
import os, urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)  # internal CA
from oracle_ai_data_platform_connectors.auth import http_basic_session
from oracle_ai_data_platform_connectors.rest.essbase import (
    execute_mdx, mdx_result_to_spark_dataframe,
)

session = http_basic_session(
    username=os.environ["ESSBASE_USER"],
    password=os.environ["ESSBASE_PASSWORD"],
    base_url=os.environ["ESSBASE_BASE_URL"],
    verify_tls=False,   # set True for trusted public CAs
)

mdx_query = """
SELECT
  {[Measures].[Sales]} ON COLUMNS,
  {[Product].[Product Family].Members} ON ROWS
FROM [Sample.Basic]
WHERE ([Year].[2026], [Scenario].[Actual])
"""

response = execute_mdx(
    session=session,
    base_url=os.environ["ESSBASE_BASE_URL"],
    application=os.environ["ESSBASE_APPLICATION"],
    cube=os.environ["ESSBASE_CUBE"],
    mdx_query=mdx_query,
)

df = mdx_result_to_spark_dataframe(spark, response)
df.show(20)
print("cells:", df.count())
```

## Gotchas
- **MDX braces `{...}` are required** around member sets — bare `[Product].[Product Family].Members` returns 400.
- **WHERE slicer** for POV — if you skip dimensions in `WHERE`, Essbase uses dimension defaults, which may be parents (returns aggregated/empty data depending on aggregation).
- **Network** — Essbase 21c is typically deployed on a private host (port 9000 / 9001). Confirm reachability before chasing MDX errors.
- **`#Missing` cells** — empty cube intersections return the literal `"#Missing"`. Helper preserves; cast as needed.
- **HTTP 200 with empty result** — Essbase returns 200 even when MDX matches nothing. Always check `df.count() == 0` rather than relying on the HTTP status.

## References
- Helpers: [scripts/oracle_ai_data_platform_connectors/rest/essbase.py](../../scripts/oracle_ai_data_platform_connectors/rest/essbase.py)
- Essbase 21c REST docs: https://docs.oracle.com/en/database/other-databases/essbase/21/essoa/

Files: 1

Size: 3.3 KB

Complexity: 8/100

Category: General

Source: https://github.com/oracle-samples/oracle-aidp-samples/tree/main/ai/claude-code-plugins/oracle-ai-data-platform-workbench-spark-connectors/skills/aidp-essbase

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