jorisvandenbossche commented on a change in pull request #12565:
URL: https://github.com/apache/arrow/pull/12565#discussion_r821567550
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File path: dev/tasks/tasks.yml
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@@ -1392,6 +1392,7 @@ tasks:
PYTHON: "{{ python_version }}"
PANDAS: "{{ pandas_version }}"
NUMPY: "{{ numpy_version }}"
+ PARQUET_REQUIRE_ENCRYPTION: "OFF"
{% if cache_leaf %}
# use the latest pandas release, so prevent reusing any cached layers
flags: --no-leaf-cache
Review comment:
> It is. I suggest to remove `cache_leaf` jinja variable and just set
`flags: --no-leaf-cache` for all cases.
I just inverted the check, but can also remove it altogether. I assume the
cache is still useful for the one build with fixed pandas version?
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