Fix errors import to avoid circular dependency

Author: sfc-gh-nqi

DESCRIPTION.md

@@ -11,7 +11,7 @@ Source code is also available at: https://github.com/snowflakedb/snowflake-conne
   - Bumped numpy dependency from <2.1.0 to <=2.2.4
   - Added Windows support for Python 3.13.
   - Add `bulk_upload_chunks` parameter to `write_pandas` function. Setting this parameter to True changes the behaviour of write_pandas function to first write all the data chunks to the local disk and then perform the wildcard upload of the chunks folder to the stage. In default behaviour the chunks are being saved, uploaded and deleted one by one.
-  - Implemented lazy import for pandas to improve module loading performance.
+  - Implemented lazy import for pandas to improve loading performance.
 
 
 - v3.15.1(May 20, 2025)

src/snowflake/connector/options.py

@@ -32,6 +32,7 @@ class MissingOptionalDependency:
 
     def __getattr__(self, item):
         from . import errors
+
         raise errors.MissingDependencyError(self._dep_name)
 
 
@@ -139,13 +140,6 @@ def _import_or_missing_keyring_option() -> tuple[ModuleLikeObject, bool]:
 
 
 # Create actual constants to be imported from this file
-try:
-    pyarrow = importlib.import_module("pyarrow")
-except ImportError:
-    # Defer errors import to avoid circular dependency
-    from . import errors
-    raise errors.MissingDependencyError("pyarrow")
-
 keyring, installed_keyring = _import_or_missing_keyring_option()
 
 
@@ -156,6 +150,14 @@ def __getattr__(name):
         except ImportError:
             return MissingPandas()
 
+    elif name == "pyarrow":
+        try:
+            return importlib.import_module("pyarrow")
+        except ImportError:
+            from . import errors
+
+            raise errors.MissingDependencyError("pyarrow")
+
     elif name == "installed_pandas":
         return installed_pandas()