dchvn opened a new pull request #34750:
URL: https://github.com/apache/spark/pull/34750
### What changes were proposed in this pull request?
Skip identical index checking of Series.compare when config
'compute.eager_check' is disabled
### Why are the changes needed?
identical index checking is expensive, so we should use config
'compute.eager_check' to skip this one
### Does this PR introduce _any_ user-facing change?
Yes
Before this PR
```python
>>> psser1 = ps.Series([1, 2, 3, 4, 5], index=pd.Index([1, 2, 3, 4, 5]))
>>> psser2 = ps.Series([1, 2, 3, 4, 5], index=pd.Index([1, 2, 4, 3, 5]))
>>> psser1.compare(psser2)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/u02/spark/python/pyspark/pandas/series.py", line 5851, in compare
raise ValueError("Can only compare identically-labeled Series objects")
ValueError: Can only compare identically-labeled Series objects
```
After this PR, when config 'compute.eager_check' is False, pandas-on-Spark
just proceeds and performs by ignoring the identical index checking.
```python
>>> with ps.option_context("compute.eager_check", False):
... psser1.compare(psser2)
...
self other
3 3 4
4 4 3
```
### How was this patch tested?
Unit tests
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