RaghunandanKumar opened a new pull request, #55902:
URL: https://github.com/apache/spark/pull/55902
### What changes were proposed in this pull request?
This updates the PySpark type conversion guide to make it more useful for
day-to-day users.
Changes:
- remove unfinished TODO placeholders from the page
- fix a small formatting typo in the DecimalType row
- add practical notes about runtime conversion behavior, including:
- null handling
- fixed-width numeric limits
- schema inference pitfalls for local Python data
- nested dict inference as MapType vs StructType
- BinaryType behavior under `spark.sql.execution.pyspark.binaryAsBytes`
- add a short section describing Arrow-enabled Python UDF conversion caveats
- add config-driven examples for:
- `spark.sql.pyspark.inferNestedDictAsStruct.enabled`
- `spark.sql.timestampType=TIMESTAMP_NTZ`
- `spark.sql.execution.pyspark.binaryAsBytes`
### Why are the changes needed?
The page had visible TODO markers and was missing several practical
conversion cases that commonly confuse PySpark users, especially around schema
inference and configuration-dependent behavior.
### Does this PR introduce any user-facing change?
Yes, documentation only.
### How was this patch tested?
Reviewed the rendered diff locally.
Full Spark docs/test validation was not run in this environment because Java
is not installed.
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