Remove pyarrow workaround. (#7884)

python-package/xgboost/data.py

@@ -2,7 +2,6 @@
 # pylint: disable=too-many-return-statements, import-error
 '''Data dispatching for DMatrix.'''
 import ctypes
-from distutils import version
 import json
 import warnings
 import os
@@ -590,13 +589,7 @@ def _from_arrow(
     if enable_categorical:
         raise ValueError("categorical data in arrow is not supported yet.")
 
-    major, _, _ = version.StrictVersion(pa.__version__).version
-    if major == 4:
-        rb_iter = iter(data.to_batches())
-    else:
-        # use_async=True to workaround pyarrow 6.0.1 hang,
-        # see Modin-3982 and ARROW-15362
-        rb_iter = iter(data.to_batches(use_async=True))
+    rb_iter = iter(data.to_batches())
     it = record_batch_data_iter(rb_iter)
     next_callback = ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_void_p)(it)
     handle = ctypes.c_void_p()