emecii opened a new pull request, #1716:
URL: https://github.com/apache/datafusion-python/pull/1716
# Which issue does this PR close?
Closes #970.
# Rationale for this change
`CREATE EXTERNAL TABLE ... OPTIONS ('aws.…' ...)` fails because `aws` is not
a
SQL configuration namespace. The Python API already supports this workflow by
configuring an `AmazonS3` object and registering it on the `SessionContext`,
but
the object-store guide only showed `register_parquet`.
# What changes are included in this PR?
- Make the existing S3 example self-contained by adding its imports and
`SessionContext` construction.
- Document the supported S3-plus-SQL-DDL path after the object store is
registered.
- State that S3 credentials belong on `AmazonS3`, rather than in SQL
`OPTIONS`.
# Are there any user-facing changes?
Yes. The user guide now explains how to use an already registered S3 object
store with `CREATE EXTERNAL TABLE`.
Validation: checked the documentation diff, parsed all eight Python snippets
in
the page with `ast.parse`, and verified the SQL DDL reaches the configured S3
object store with the published DataFusion wheel. The example is deliberately
documented as requiring valid S3 credentials.
I understand and reviewed this AI-assisted documentation change end-to-end.
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