boring-cyborg[bot] commented on issue #8659:
URL: https://github.com/apache/airflow/issues/8659#issuecomment-622259238
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jtmiclat opened a new issue #8659:
URL: https://github.com/apache/airflow/issues/8659
**Apache Airflow version**: 1.10.10
**Environment**:
- **Cloud provider or hardware configuration**:
- **OS** (e.g. from /etc/os-release): Pop!\_OS 18.04 LTS"l
- **Kernel** (e.g. `uname
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https://issues.apache.org/jira/browse/AIRFLOW-249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17097162#comment-17097162
]
ASF GitHub Bot commented on AIRFLOW-249:
seanxwzhang commented on a change in pull request
seanxwzhang commented on a change in pull request #8545:
URL: https://github.com/apache/airflow/pull/8545#discussion_r418414577
##
File path: airflow/models/baseoperator.py
##
@@ -392,10 +442,79 @@ def __init__(
% (self.task_id, dag.dag_id))
seanxwzhang commented on a change in pull request #8545:
URL: https://github.com/apache/airflow/pull/8545#discussion_r418404338
##
File path: airflow/utils/sla.py
##
@@ -0,0 +1,500 @@
+# Licensed to the Apache Software Foundation (ASF) under one
Review comment:
sure,
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ASF GitHub Bot commented on AIRFLOW-249:
seanxwzhang commented on a change in pull request
boring-cyborg[bot] commented on issue #8658:
URL: https://github.com/apache/airflow/issues/8658#issuecomment-622234394
Thanks for opening your first issue here! Be sure to follow the issue
template!
This is an automated
yee379 opened a new issue #8658:
URL: https://github.com/apache/airflow/issues/8658
**Apache Airflow version**:
1.10.10
**Environment**:
postgres backend
**What happened**:
i often have dag run tasks that fail. more often or not, rerunning the task
will work - even
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https://issues.apache.org/jira/browse/AIRFLOW-249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17097145#comment-17097145
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ASF GitHub Bot commented on AIRFLOW-249:
seanxwzhang commented on a change in pull request
seanxwzhang commented on a change in pull request #8545:
URL: https://github.com/apache/airflow/pull/8545#discussion_r418254475
##
File path: airflow/models/baseoperator.py
##
@@ -392,10 +442,79 @@ def __init__(
% (self.task_id, dag.dag_id))
ashb commented on a change in pull request #8637:
URL: https://github.com/apache/airflow/pull/8637#discussion_r418391929
##
File path: tests/test_configuration.py
##
@@ -440,33 +441,42 @@ def make_config():
# lookup even if we remove this explicit fallback
ashb commented on a change in pull request #8637:
URL: https://github.com/apache/airflow/pull/8637#discussion_r418391772
##
File path: tests/test_configuration.py
##
@@ -440,33 +441,42 @@ def make_config():
# lookup even if we remove this explicit fallback
potiuk commented on pull request #8635:
URL: https://github.com/apache/airflow/pull/8635#issuecomment-622204034
Please rebase. It should be fixed now.
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To respond to
DmitryRusakovKodiak opened a new issue #8657:
URL: https://github.com/apache/airflow/issues/8657
**Description**
Add a configuration option to use S3 as a DAGs storage/provider.
**Use case / motivation**
Currently Airflow assumes that all DAGs are stored in `/some/path/dags`
boring-cyborg[bot] commented on issue #8656:
URL: https://github.com/apache/airflow/issues/8656#issuecomment-622140262
Thanks for opening your first issue here! Be sure to follow the issue
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This is an automated
DmitryRusakovKodiak opened a new issue #8656:
URL: https://github.com/apache/airflow/issues/8656
Hi, guys!
We are trying to run Airflow in Kubernetes.
Currently we use KubernetesExecutor instead of Celery.
The DAGs are located in a private aws S3 bucket.
The problem, however, is
XD-DENG opened a new pull request #8655:
URL: https://github.com/apache/airflow/pull/8655
This PR is to replicate the changes done in
https://github.com/apache/airflow/pull/8633 for `1.10.*` branch
This is an automated
reltuk commented on pull request #8640:
URL: https://github.com/apache/airflow/pull/8640#issuecomment-622115328
Not sure about the most recent lint failure...I moved pylint directive
comment to the line above the class.
JonnyWaffles opened a new issue #8654:
URL: https://github.com/apache/airflow/issues/8654
Hi friends,
There is a typo in the documentation regarding customer operators
[here](https://airflow.apache.org/docs/stable/howto/custom-operator.html#creating-a-custom-operator).
`name`
boring-cyborg[bot] commented on issue #8654:
URL: https://github.com/apache/airflow/issues/8654#issuecomment-622096033
Thanks for opening your first issue here! Be sure to follow the issue
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This is an automated
YingboWang commented on pull request #8624:
URL: https://github.com/apache/airflow/pull/8624#issuecomment-622084656
@ashb Thank you for your comments.
Although the issue was raised from celery executor. It could raise question
for all executor with distributed workers: "where did
exploy commented on issue #8645:
URL: https://github.com/apache/airflow/issues/8645#issuecomment-622075183
Related PR https://github.com/apache/airflow/pull/8653
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YingboWang commented on a change in pull request #8624:
URL: https://github.com/apache/airflow/pull/8624#discussion_r418249567
##
File path: airflow/executors/base_executor.py
##
@@ -58,7 +58,7 @@ def __init__(self, parallelism: int = PARALLELISM):
self.queued_tasks:
BasPH commented on issue #8649:
URL: https://github.com/apache/airflow/issues/8649#issuecomment-622068812
Can you provide an example (screenshot/code/whatever) where that happens? As
far as I know, the next execution date is always computed with the `start_date`
and `schedule_interval`,
exploy opened a new pull request #8653:
URL: https://github.com/apache/airflow/pull/8653
Support for integer range partitioning for BigQuery tables
There is already support for time partitioning while creating BQ tables and
Google offers more options than only time partitioning.
BasPH commented on pull request #8651:
URL: https://github.com/apache/airflow/pull/8651#issuecomment-622065975
I don't really understand it yet. Could you provide a practical example?
Plus, please don't place code in `utils` unless absolutely necessary. I'm
sure we can think of a
jeffolsi commented on issue #8649:
URL: https://github.com/apache/airflow/issues/8649#issuecomment-622065472
> An immediate solution to your last sentence is to use timedelta. This is
also supported: `schedule_interval=timedelta(weeks=2)`.
It's not the same. When specifying cron exp
BasPH commented on issue #8649:
URL: https://github.com/apache/airflow/issues/8649#issuecomment-622061008
An immediate solution to your last sentence is to use timedelta. This is
also supported: `schedule_interval=timedelta(weeks=2)`.
XD-DENG commented on pull request #8633:
URL: https://github.com/apache/airflow/pull/8633#issuecomment-622061490
Hi @potiuk , I have noticed your latest CI fix. Have rebased here.
This is an automated message from the Apache
kaxil commented on pull request #8633:
URL: https://github.com/apache/airflow/pull/8633#issuecomment-622043102
> @potiuk are you fine that I go ahead to merge this first? The latest
commit only fails in the two `CI Build / Requirements` builds.
>
> @kaxil I think I also need to
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ASF GitHub Bot commented on AIRFLOW-249:
seanxwzhang commented on a change in pull request
seanxwzhang commented on a change in pull request #8545:
URL: https://github.com/apache/airflow/pull/8545#discussion_r418201150
##
File path: airflow/jobs/scheduler_job.py
##
@@ -750,7 +600,16 @@ def _process_dags(self, dags: List[DAG], session=None):
if
jonathanshir opened a new pull request #8652:
URL: https://github.com/apache/airflow/pull/8652
This PR is a part of [AIP-31], and closes #8055 #8053 #8052 .
The goal of the XComArg model is to create a communication token to be
passed between operators. In this fashion, we can wire the
acroos commented on issue #8629:
URL: https://github.com/apache/airflow/issues/8629#issuecomment-622017595
@timrourke to be honest, I didn't try many other options. It seems to me
like this will be an issue regardless of log driver indeed, according to
docker-py docs, a dict is the
jonathanshir opened a new pull request #8651:
URL: https://github.com/apache/airflow/pull/8651
This PR is a part of [AIP-31], and closes #8058
The goal of this issue is to detach the execution context from the executing
method's signature.
Before, the only way to retrieve execution
timrourke commented on pull request #8287:
URL: https://github.com/apache/airflow/pull/8287#issuecomment-622005823
thank you, @retornam, for fixing this. i ran into this issue myself after
upgrading to 1.10.10. appreciate the work :clap:
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https://issues.apache.org/jira/browse/AIRFLOW-4363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17096817#comment-17096817
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ASF GitHub Bot commented on AIRFLOW-4363:
-
timrourke commented on pull request #8287:
URL:
BigCheeze45 commented on issue #8494:
URL: https://github.com/apache/airflow/issues/8494#issuecomment-622005444
I'm also seeing the same error in my environment. We can reproduce it
consistently with a manual trigger (`schedule_interval=None`)
Executor: LocalExecutor
Backend: MSSQL
timrourke commented on issue #8629:
URL: https://github.com/apache/airflow/issues/8629#issuecomment-622004008
@acroos FYI, I tried changing `/etc/docker/daemon.json` to use `journald` to
no avail; I think this issue exists regardless of what logging driver selected.
Were you able to
XD-DENG commented on pull request #8633:
URL: https://github.com/apache/airflow/pull/8633#issuecomment-622003671
@potiuk are you fine that I go ahead to merge this first? The latest commit
only fails in the two `CI Build / Requirements` builds.
@kaxil I think I also need to prepare
XD-DENG commented on a change in pull request #8633:
URL: https://github.com/apache/airflow/pull/8633#discussion_r418181679
##
File path: tests/www/test_views.py
##
@@ -521,6 +521,8 @@ def test_dag_stats(self):
def test_task_stats(self):
resp =
peter-volkov commented on issue #8650:
URL: https://github.com/apache/airflow/issues/8650#issuecomment-621995310
Related discussion in Slack
https://app.slack.com/client/TCQ18L22Z/CUKA3KQ81/thread/CUKA3KQ81-1588259396.032300
peter-volkov opened a new issue #8650:
URL: https://github.com/apache/airflow/issues/8650
There is a Yandex.Cloud provider in master branch.
However, I want it completely backported to Airflow 1.* to distribute among
the clients.
The problem is this provider requires a custom
boring-cyborg[bot] commented on issue #8650:
URL: https://github.com/apache/airflow/issues/8650#issuecomment-621991083
Thanks for opening your first issue here! Be sure to follow the issue
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jeffolsi commented on pull request #7703:
URL: https://github.com/apache/airflow/pull/7703#issuecomment-621988474
can this bug fix be released in next version?
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ASF GitHub Bot commented on AIRFLOW-6481:
-
jeffolsi commented on pull request #7703:
URL:
jhtimmins commented on a change in pull request #8637:
URL: https://github.com/apache/airflow/pull/8637#discussion_r418110002
##
File path: airflow/configuration.py
##
@@ -188,25 +189,37 @@ def _validate(self):
for section, replacement in
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ASF GitHub Bot commented on AIRFLOW-2971:
-
aneesh-joseph edited a comment on pull request
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ASF GitHub Bot commented on AIRFLOW-2971:
-
aneesh-joseph edited a comment on pull request
aneesh-joseph edited a comment on pull request #6277:
URL: https://github.com/apache/airflow/pull/6277#issuecomment-621935133
@colinjc thanks for this one, I'm using a custom health check script(based
on this) for my k8s probes. Can you get this in, so that I can directly use
this?
aneesh-joseph edited a comment on pull request #6277:
URL: https://github.com/apache/airflow/pull/6277#issuecomment-621935133
@colinjc thanks for this one, I'm using a custom health check script(based
on this) for my k8s deployment. Can you get this in, so that I can directly use
this?
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ASF GitHub Bot commented on AIRFLOW-2971:
-
aneesh-joseph commented on pull request #6277:
URL:
aneesh-joseph commented on pull request #6277:
URL: https://github.com/apache/airflow/pull/6277#issuecomment-621935133
@colinjc thanks for this one, I'm using it as a health check script for my
k8s deployment. Can you get this in, so that I can directly use this?
jeffolsi opened a new issue #8649:
URL: https://github.com/apache/airflow/issues/8649
**Description**
Allow DAG to accept list of cron expression and schedule the dag in
correlation to all of them.
Similar to how it can be done in cron job
**Use case / motivation**
Some
jhtimmins commented on pull request #8637:
URL: https://github.com/apache/airflow/pull/8637#issuecomment-621927544
Depends on https://github.com/apache/airflow/pull/8463. @dimberman mind
adding that to the description?
This
potiuk opened a new pull request #8648:
URL: https://github.com/apache/airflow/pull/8648
Right now requirements will be only checked during the
CI build if the setup.py has changed and if yes, clear instructions
will be given. The diff will still be printed otherwise but
it will
NBardelot commented on pull request #7682:
URL: https://github.com/apache/airflow/pull/7682#issuecomment-621906955
> I kindly ask you to verify the created PR
Yep I wrote the comment before seeing that going from master to v1-10-stable
was a mess. I fixed it. :)
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ASF GitHub Bot commented on AIRFLOW-7031:
-
NBardelot commented on pull request #7682:
URL:
[
https://issues.apache.org/jira/browse/AIRFLOW-5407?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ash Berlin-Taylor updated AIRFLOW-5407:
---
Fix Version/s: 1.10.9
> RBAC Graph View tasks are not highlighted when overing
boring-cyborg[bot] commented on issue #8647:
URL: https://github.com/apache/airflow/issues/8647#issuecomment-621876479
Thanks for opening your first issue here! Be sure to follow the issue
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This is an automated
kondla opened a new issue #8647:
URL: https://github.com/apache/airflow/issues/8647
**Apache Airflow version**:
apache-airflow = {extras = ["gcp"],version = "==1.10.9"}
**Environment**:
- **OS**: macOS Catalina
- **Install tools**: Pipenv
**What happened**:
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Ash Berlin-Taylor commented on AIRFLOW-4744:
Hi [~hkak03key],
Sorry for letting this issue
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ASF GitHub Bot commented on AIRFLOW-7031:
-
ad-m commented on pull request #7682:
URL:
ad-m commented on pull request #7682:
URL: https://github.com/apache/airflow/pull/7682#issuecomment-621868140
@mik-laj , @Fokko, do you have any comments regarding that PR?
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ASF GitHub Bot commented on AIRFLOW-7031:
-
ad-m commented on pull request #7682:
URL:
ad-m commented on pull request #7682:
URL: https://github.com/apache/airflow/pull/7682#issuecomment-621865464
I kindly ask you to verify the created PR, because you are modifying
hundreds of files and provide hundreds of commits. I am afraid that the rebase
was not carried out in an
dependabot[bot] opened a new pull request #8646:
URL: https://github.com/apache/airflow/pull/8646
Bumps [jquery](https://github.com/jquery/jquery) from 3.4.1 to 3.5.0.
Commits
https://github.com/jquery/jquery/commit/7a0a850f3d41c0412609c1d32b1e602d4afe2f4e;>7a0a850
3.5.0
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ASF GitHub Bot commented on AIRFLOW-7031:
-
NBardelot commented on pull request #7682:
URL:
NBardelot commented on pull request #7682:
URL: https://github.com/apache/airflow/pull/7682#issuecomment-621862440
@ad-m done (on branch v1-10-stable)
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To respond to
[
https://issues.apache.org/jira/browse/AIRFLOW-5438?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ash Berlin-Taylor reopened AIRFLOW-5438:
> Task Duration / Landing times - add title to axis
>
[
https://issues.apache.org/jira/browse/AIRFLOW-5438?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ash Berlin-Taylor reassigned AIRFLOW-5438:
--
Assignee: (was: Jakob Homan)
> Task Duration / Landing times - add
zachliu commented on issue #8311:
URL: https://github.com/apache/airflow/issues/8311#issuecomment-621859934
upgraded to `1.10.10` two weeks ago, just noticed this issue :sweat_smile:
This is an automated message from the
exploy opened a new issue #8645:
URL: https://github.com/apache/airflow/issues/8645
**Description**
Support for integer range partitioning for BigQuery tables
**Use case / motivation**
There is already support for time partitioning while creating BQ tables and
Google
boring-cyborg[bot] commented on issue #8645:
URL: https://github.com/apache/airflow/issues/8645#issuecomment-621836578
Thanks for opening your first issue here! Be sure to follow the issue
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This is an automated
pranjalmittal commented on issue #8565:
URL: https://github.com/apache/airflow/issues/8565#issuecomment-621830739
Created a PR for the issue: https://github.com/apache/airflow/pull/8644
This is an automated message from the
pranjalmittal opened a new pull request #8644:
URL: https://github.com/apache/airflow/pull/8644
---
SalesforceHook function `write_object_to_file` is divided to `object_to_df`
which returns a dataframe and then the `write_object_to_file` uses
`object_to_df` as the first step before
boring-cyborg[bot] commented on pull request #8644:
URL: https://github.com/apache/airflow/pull/8644#issuecomment-621830323
Congratulations on your first Pull Request and welcome to the Apache Airflow
community! If you have any issues or are unsure about any anything please check
our
kaxil commented on a change in pull request #8633:
URL: https://github.com/apache/airflow/pull/8633#discussion_r417984584
##
File path: tests/www/test_views.py
##
@@ -521,6 +521,8 @@ def test_dag_stats(self):
def test_task_stats(self):
resp =
kaxil commented on a change in pull request #8633:
URL: https://github.com/apache/airflow/pull/8633#discussion_r417984584
##
File path: tests/www/test_views.py
##
@@ -521,6 +521,8 @@ def test_dag_stats(self):
def test_task_stats(self):
resp =
kaxil commented on pull request #8633:
URL: https://github.com/apache/airflow/pull/8633#issuecomment-621813031
There is a test failure about JSON response too:
```
> self.assertEqual(set(resp.json().items()[0][1][0].keys()),
{'state', 'count',
kaxil commented on pull request #8625:
URL: https://github.com/apache/airflow/pull/8625#issuecomment-621810841
Marking it for 1.10.11 for now, when we start cherry-picking will double
check if it is fine for 1.10.11
This
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ASF GitHub Bot commented on AIRFLOW-4734:
-
kaxil commented on pull request #8625:
URL:
stackapack commented on issue #8292:
URL: https://github.com/apache/airflow/issues/8292#issuecomment-621806169
@potiuk Are you still reviewing all requirements? Happy to work on this if
not :)
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ashb commented on pull request #8637:
URL: https://github.com/apache/airflow/pull/8637#issuecomment-621726818
(Don't merge this yet, Github Actions haven't run yet)
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https://issues.apache.org/jira/browse/AIRFLOW-1925?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ash Berlin-Taylor closed AIRFLOW-1925.
--
Resolution: Fixed
> Task status colours are impossible to distinguish for colour
ashb commented on issue #7843:
URL: https://github.com/apache/airflow/issues/7843#issuecomment-621724291
@preston-m-price Can you recommend some colours that work for you please?
Not _promising_ we'll change it, but we can look at it.
(And or different shapes too.)
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ASF subversion and git services commented on AIRFLOW-4734:
--
Commit
boring-cyborg[bot] commented on pull request #8625:
URL: https://github.com/apache/airflow/pull/8625#issuecomment-621715353
Awesome work, congrats on your first merged pull request!
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ashb commented on pull request #8625:
URL: https://github.com/apache/airflow/pull/8625#issuecomment-621715491
@kaxil Think we could pull this in to 1.10.11 easily or not?
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Nedzad Campara commented on AIRFLOW-2516:
-
I can confirm this issue is still present in 1.10.9
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ASF GitHub Bot commented on AIRFLOW-4734:
-
ashb commented on pull request #8625:
URL:
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ASF GitHub Bot commented on AIRFLOW-4734:
-
boring-cyborg[bot] commented on pull request #8625:
aalemanq opened a new issue #8643:
URL: https://github.com/apache/airflow/issues/8643
Hello, I spend so many weeks trying to configure airflow using secrets in
docker swarm.
I try to use this config in my compose:
environment:
- LOAD_EX=y
-
ashb commented on a change in pull request #8624:
URL: https://github.com/apache/airflow/pull/8624#discussion_r417860289
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File path: airflow/executors/base_executor.py
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@@ -58,7 +58,7 @@ def __init__(self, parallelism: int = PARALLELISM):
self.queued_tasks:
boring-cyborg[bot] commented on issue #8643:
URL: https://github.com/apache/airflow/issues/8643#issuecomment-621708157
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ashb commented on issue #8636:
URL: https://github.com/apache/airflow/issues/8636#issuecomment-621705106
Fixed by #7364 which was released in 1.10.10.
This is an automated message from the Apache Git Service.
To respond to
ashb commented on a change in pull request #8637:
URL: https://github.com/apache/airflow/pull/8637#discussion_r417852863
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File path: airflow/configuration.py
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@@ -105,7 +106,6 @@ def default_config_yaml() -> dict:
with open(file_path) as config_file:
return
ashb commented on a change in pull request #8637:
URL: https://github.com/apache/airflow/pull/8637#discussion_r417852019
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File path: airflow/configuration.py
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@@ -188,25 +189,37 @@ def _validate(self):
for section, replacement in self.deprecated_values.items():
ashb commented on a change in pull request #8637:
URL: https://github.com/apache/airflow/pull/8637#discussion_r417851317
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File path: airflow/configuration.py
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@@ -158,7 +158,8 @@ class AirflowConfigParser(ConfigParser):
# about. Mapping of section -> setting -> { old,
ashb commented on pull request #8637:
URL: https://github.com/apache/airflow/pull/8637#issuecomment-621698837
This lets us pull the change back in to 1.10.x, so that by the time 2.0 is
around people will have had time and notice to update, without reading (the now
quite long) UPDATING.md.
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