zero323 commented on a change in pull request #33900:
URL: https://github.com/apache/spark/pull/33900#discussion_r727412156



##########
File path: examples/src/main/python/sql/arrow.py
##########
@@ -32,7 +32,7 @@
 
 
 def dataframe_with_arrow_example(spark):
-    import numpy as np  # type: ignore[import]
+    import numpy as np

Review comment:
       Sorry for a delay @HyukjinKwon. It too longer longer than I expected, to 
test this properly (I had to isolate things, because mypy cache + some 
undefined quirks, caused unpredictable behavior locally, even if tested within 
conda / venv environments) .
   
   Long story short ‒ this shouldn't really impact end users.

##########
File path: .github/workflows/build_and_test.yml
##########
@@ -197,7 +197,7 @@ jobs:
     - name: Install Python packages (Python 3.8)
       if: (contains(matrix.modules, 'sql') && !contains(matrix.modules, 
'sql-'))
       run: |
-        python3.8 -m pip install numpy 'pyarrow<5.0.0' pandas scipy xmlrunner
+        python3.8 -m pip install 'numpy>=1.20.0' 'pyarrow<5.0.0' pandas scipy 
xmlrunner

Review comment:
       Strictly speaking, we don't, or we could use package version bound 
(>=1.7).
   
   But it is useful to have things consistent (of course, unless we 
intentionally test against different versions), for anyone who, like me, builds 
dev environments using tests as a guideline. If that's something that doesn't 
look right, I am happy to revert it.

##########
File path: .github/workflows/build_and_test.yml
##########
@@ -460,7 +460,7 @@ jobs:
         #   See also https://github.com/sphinx-doc/sphinx/issues/7551.
         # Jinja2 3.0.0+ causes error when building with Sphinx.
         #   See also https://issues.apache.org/jira/browse/SPARK-35375.
-        python3.9 -m pip install 'sphinx<3.1.0' mkdocs numpy 
pydata_sphinx_theme ipython nbsphinx numpydoc 'jinja2<3.0.0'
+        python3.9 -m pip install 'sphinx<3.1.0' mkdocs 'numpy>=1.20.0' 
pydata_sphinx_theme ipython nbsphinx numpydoc 'jinja2<3.0.0'
         python3.9 -m pip install sphinx_plotly_directive 'pyarrow<5.0.0' 
pandas 'plotly>=4.8'

Review comment:
       Good point!




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