zhengruifeng opened a new pull request, #37995:
URL: https://github.com/apache/spark/pull/37995
### What changes were proposed in this pull request?
to clean the intermediate cached datasets created in
`AttachDistributedSequenceExec`
1, persist the input dataset on the python side;
2, unpsersit it if the job completed;
### Why are the changes needed?
in `argmax`, `argmin`, `searchsorted`, the intermediate cached RDDs are
still cached after the job completed.
before:
```
In [1]: import pyspark.pandas as ps
...: s = ps.Series({'Corn Flakes': 100.0, 'Almond Delight': 110.0,
'Cinnamon Toast Crunch': 120.0, 'Cocoa Puff': 110.0})
...: s.argmin()
...:
...: sc._jsc.getPersistentRDDs()
Out[1]: {6: JavaObject id=o87}
In [2]: s.argmin()
Out[2]: 0
Out[3]: sc._jsc.getPersistentRDDs()
Out[3]: {6: JavaObject id=o160, 25: JavaObject id=o161}
```
after:
```
In [1]: import pyspark.pandas as ps
...: s = ps.Series({'Corn Flakes': 100.0, 'Almond Delight': 110.0,
'Cinnamon Toast Crunch': 120.0, 'Cocoa Puff': 110.0})
...: s.argmin()
...:
...: sc._jsc.getPersistentRDDs()
Out[1]: {}
In [2]: s.argmin()
Out[2]: 0
Out[3]: sc._jsc.getPersistentRDDs()
Out[3]: {}
```
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
existing suites
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