xinrong-databricks opened a new pull request #32596:
URL: https://github.com/apache/spark/pull/32596
### What changes were proposed in this pull request?
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The PR is proposed for **pandas APIs on Spark**, in order to separate
arithmetic operations shown as below into data-type-based structures.
`__add__, __sub__, __mul__, __truediv__, __floordiv__, __pow__, __mod__,
__radd__, __rsub__, __rmul__, __rtruediv__, __rfloordiv__, __rpow__,__rmod__`
DataTypeOps and subclasses are introduced.
The existing behaviors of each arithmetic operation should be preserved.
### Why are the changes needed?
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Currently, the same arithmetic operation of all data types is defined in one
function, so it’s difficult to extend the behavior change based on the data
types.
Introducing DataTypeOps would be the foundation for [pandas APIs on Spark:
Separate basic operations into data type based
structures.](https://docs.google.com/document/d/12MS6xK0hETYmrcl5b9pX5lgV4FmGVfpmcSKq--_oQlc/edit?usp=sharing).
### Does this PR introduce _any_ user-facing change?
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the documentation fix.
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No.
### How was this patch tested?
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Tests are introduced under pyspark.pandas.tests.data_type_ops. One test file
per DataTypeOps class.
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