PERF: Series.fillna for pyarrow-backed dtypes 
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/v2.0.0.rst` file if fixing a bug or adding a new feature.

Perf improvement in `Series.fillna` for pyarrow-backed dtypes.

 ```
       before           after         ratio
     [86f18282]       [34319599]
     <main>           <arrow-ea-fillna>
-        98.6±1ms       18.7±0.4ms     0.19  series_methods.Fillna.time_fillna('string[pyarrow]', 'backfill')
-        99.2±1ms       17.6±0.2ms     0.18  series_methods.Fillna.time_fillna('string[pyarrow]', 'pad')
-       1.86±0.1s      3.86±0.03ms     0.00  series_methods.Fillna.time_fillna('int64[pyarrow]', 'backfill')
-      1.89±0.07s      3.01±0.03ms     0.00  series_methods.Fillna.time_fillna('int64[pyarrow]', 'pad')

SOME BENCHMARKS HAVE CHANGED SIGNIFICANTLY.
PERFORMANCE INCREASED.
```
Looking good. Just a single comment  A few other places where this is showing up otherwise LGTM 

```
pandas/tests/extension/test_string.py::TestMissing::test_fillna_no_op_returns_copy[True-pyarrow]
pandas/tests/extension/test_string.py::TestMissing::test_fillna_no_op_returns_copy[False-pyarrow]
  /home/runner/work/pandas/pandas/pandas/tests/extension/base/missing.py:93: PerformanceWarning: Falling back on a non-pyarrow code path which may decrease performance. Upgrade to pyarrow >=7 to possibly suppress this warning.
    result = data.fillna(method="backfill")

pandas/tests/extension/test_string.py::TestMissing::test_fillna_series_method[ffill-True-pyarrow]
pandas/tests/extension/test_string.py::TestMissing::test_fillna_series_method[ffill-False-pyarrow]
pandas/tests/extension/test_string.py::TestMissing::test_fillna_series_method[bfill-True-pyarrow]
pandas/tests/extension/test_string.py::TestMissing::test_fillna_series_method[bfill-False-pyarrow]
  /home/runner/work/pandas/pandas/pandas/tests/extension/base/missing.py:123: PerformanceWarning: Falling back on a non-pyarrow code path which may decrease performance. Upgrade to pyarrow >=7 to possibly suppress this warning.
    result = pd.Series(data_missing).fillna(method=fillna_method)
``` > A few other places where this is showing up otherwise LGTM

fixed, thx

 Thanks @lukemanley  cc @mroeschke, @jbrockmendel 

It turns out `Block.fillna` does not dispatch to the underlying arrays in all cases including the simple case where method and limit are None. This highlights the impact of not dispatching for Arrow-backed arrays:

```
import pandas as pd
import pandas._testing as tm

N = 10**6
arr = pd.array(tm.rands_array(10, N), dtype="string[pyarrow]")
arr[::2] = None
ser = pd.Series(arr)

%timeit ser.fillna("foo")
60.5 ms ± 119 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)     # <- no dispatch

%timeit arr.fillna("foo")
4.89 ms ± 22.5 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)   # <- potential, if dispatched
``` 

It looks like the pattern might be to define `ArrowBackedExtensionBlock(ExtensionBlock)` with a `fillna` method that dispatches to `ArrowExtensionArray.fillna`.  However, the `Block.fillna` method is marked final. Any suggestions? Would it be problematic to remove the final attribute? I imagine `ExtensionBlock` should generally define and just dispatch to to the array's `fillna` since (at least for the foreseeable future) they will be 1D? > I imagine ExtensionBlock should generally define and just dispatch to to the array's fillna

That makes sense to me.  Would want to make sure we're not hurting perf in non-arrow cases.