Set min pandas dependency to 1.2.5 for all providers and airflow #36698
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
boring-cyborg
bot
added
area:providers
provider:apache-hive
provider:common-sql
provider:exasol
provider:google
potiuk
requested review from
Lee-W,
Taragolis,
eladkal,
ephraimbuddy,
hussein-awala and
jscheffl
and removed request for
eladkal and
o-nikolas
hussein-awala
approved these changes
Jan 9, 2024
eladkal
approved these changes
Jan 9, 2024
Taragolis
approved these changes
Jan 9, 2024
We had some REALLY old minimum version of Pandas set for all our pandas dependency - Pandas 0.17.1 has been released in 2015 (!) Looking at the dependency tree - most of our dependencies had > 1.2.5 set - which is more than reasonable limit as Pandas 1.2.5 had been released in June 2021 - so more than 2.5 years ago. This limit bump further helps us to limit the pip backtracking that starts happening in certain situations. Extracted from: apache#36537
potiuk
force-pushed
the
upgrade-min-pandas-version-everywhere
branch
from
92bb14e to
85feaee
Compare
vincbeck
approved these changes
Jan 9, 2024
ephraimbuddy
added
the
type:misc/internal
ephraimbuddy
pushed a commit
that referenced
this pull request
Jan 11, 2024
) We had some REALLY old minimum version of Pandas set for all our pandas dependency - Pandas 0.17.1 has been released in 2015 (!) Looking at the dependency tree - most of our dependencies had > 1.2.5 set - which is more than reasonable limit as Pandas 1.2.5 had been released in June 2021 - so more than 2.5 years ago. This limit bump further helps us to limit the pip backtracking that starts happening in certain situations. Extracted from: #36537 (cherry picked from commit ecb2c9f)
68 tasks
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
6 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
We had some REALLY old minimum version of Pandas set for all our pandas dependency - Pandas 0.17.1 has been released in 2015 (!)
Looking at the dependency tree - most of our dependencies had
This limit bump further helps us to limit the pip backtracking that starts happening in certain situations.
Extracted from: #36537
^ Add meaningful description above
Read the Pull Request Guidelines for more information.
In case of fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
In case of a new dependency, check compliance with the ASF 3rd Party License Policy.
In case of backwards incompatible changes please leave a note in a newsfragment file, named
{pr_number}.significant.rstor{issue_number}.significant.rst, in newsfragments.