tree febfbebdd212315965efd97a00ed38aa71c29919
parent 356aca5af5b88570d43d1c0f2b417aa87b86d323
author Gengliang Wang <gengliang@apache.org> 1714848889 -0700
committer Dongjoon Hyun <dhyun@apple.com> 1714848889 -0700

[SPARK-48129][PYTHON] Provide a constant table schema in PySpark for querying structured logs

### What changes were proposed in this pull request?

Similar to https://github.com/apache/spark/pull/46375/, this PR provides a constant table schema in PySpark for querying structured logs.
The doc of logging configuration is also updated.

### Why are the changes needed?

Provide a convenient way to query Spark logs using PySpark.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Manual test

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #46384 from gengliangwang/pythonLog.

Authored-by: Gengliang Wang <gengliang@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>