Very nice. I noticed a bug in one line:
pip install pip install airflow==1.8.0
I see you've used the plugin class to add operators, so they appear in the
airflow.operators namespace.
I'm wondering about what other people are doing there and what the best way
is to add custom operators
to
Yes, we do actually use virtualenv in our Airflow production environment.We
also use Docker containers, so we don't strictly need it, but it makes it easy
for us to have a similar setup in production and on developers' machines.On dev
machines, we run multiple Python projects each hosted in its
Dear podling,
This email was sent by an automated system on behalf of the Apache
Incubator PMC. It is an initial reminder to give you plenty of time to
prepare your quarterly board report.
The board meeting is scheduled for Wed, 19 April 2017, 10:30 am PDT.
The report for your podling will form
Edgardo,
This is a great question and something that requires functionality to
address. As Airflow starts getting used for bigger workloads, we need a way
to clean up defunct resources.
- How do we delete a dag and its related resources?
- Until the recent release, the way that I stopped
To add to Siddharth's pretty extensive list (in particular, the "delete a
DAG from the code that makes up the dag bag folder, but now it shows up
with a ! icon and you have to manually set it to is_active = f" issue that
I didn't see in 1.8.0-RC4 but started seeing in 1.8.0-RC5 that became
1.8.0)
All,
I've generated a self signed certificate to use with airflow using the
following command:
openssl req -x509 -newkey rsa:4096 -sha256 -nodes -keyout key.pem -out
cert.pem -days 365
However when trying to access the site from the local machine via:
curl -k https://localhost
curl hangs and
https://issues.apache.org/jira/browse/AIRFLOW-1033
Is also 1.8 and not 1.8.0 blocker ?
Thanks.
--
Ruslan Dautkhanov
On Mon, Apr 3, 2017 at 3:20 PM, Bolke de Bruin wrote:
> Hi Chris,
>
> Please add:
>
> https://issues.apache.org/jira/browse/AIRFLOW-1011 <
>
I will do it. I will work on it today as it seems like today is the last
day to do this.
On Wed, Apr 5, 2017 at 10:29 AM, Chris Riccomini
wrote:
> Can someone please volunteer to update? Should take ~5 minutes.
>
> On Tue, Apr 4, 2017 at 8:16 PM,
Can someone please volunteer to update? Should take ~5 minutes.
On Tue, Apr 4, 2017 at 8:16 PM, wrote:
> Dear podling,
>
> This email was sent by an automated system on behalf of the Apache
> Incubator PMC. It is an initial reminder to give you plenty of time to
> prepare
:-)
If you can please include our intention to graduate after the 1.8.1 release (no
more reports ;-).
B.
> On 5 Apr 2017, at 19:32, Gurer Kiratli
> wrote:
>
> I will do it. I will work on it today as it seems like today is the last
> day to do this.
>
> On
Sure thing!
> On Apr 5, 2017, at 10:33 AM, Bolke de Bruin wrote:
>
> :-)
>
> If you can please include our intention to graduate after the 1.8.1 release
> (no more reports ;-).
>
> B.
>
>> On 5 Apr 2017, at 19:32, Gurer Kiratli
>>
Hi folks,
Here is the draft of the podling report. Please take a look and comment. If
it looks good one of the committers have to post this on this on the wiki
today!
Cheers,
Gurer
>>
Airflow
Airflow is a workflow automation and scheduling system that can be used to
author and manage data
Awesome, thanks Gurer!
On Wed, Apr 5, 2017 at 10:34 AM, Gurer Kiratli <
gurer.kira...@airbnb.com.invalid> wrote:
> Sure thing!
>
> > On Apr 5, 2017, at 10:33 AM, Bolke de Bruin wrote:
> >
> > :-)
> >
> > If you can please include our intention to graduate after the 1.8.1
>
Lgtm2 :-)
Sent from my iPhone
> On 5 Apr 2017, at 21:38, Chris Riccomini wrote:
>
> LGTM! Thanks!
>
> On Wed, Apr 5, 2017 at 11:57 AM, Gurer Kiratli <
> gurer.kira...@airbnb.com.invalid> wrote:
>
>> Hi folks,
>>
>> Here is the draft of the podling report. Please take
Please disregard this question, it was apparently my load balancer
generating the errors and curl was taking some time to come back, however
it does eventually come back.
-N
nik.hodgkin...@collectivehealth.com
On Wed, Apr 5, 2017 at 6:44 PM, Nicholas Hodgkinson
On 5 April 2017 at 10:33, Bolke de Bruin wrote:
> If you can please include our intention to graduate after the 1.8.1 release
> (no more reports ;-).
Did I miss this discussion on the mailing list? If so, can you point
me to it? If it was discussed there; there may be some
Hey Everyone,
We recently added a subdag with over 200 tasks on it and any time airflow
is running the cpu and memory usage spikes taking down the server. I am
putting the subdag in a factory outside of the dags folder and importing it
into a dag. We are using the Celery Executor, and running the
I added the following to the report, as it seemed like it was a required
question :
How would you assess the podling's maturity?Please feel free to add
your own commentary. [ ] Initial setup [ ] Working towards first
release [ ] Community building [X] Nearing graduation [ ] Other:The
Airflow
Hi all,
Hope you're well.
I implement an airflow dag and I have an issue which I don't understand.
I work on a docker stack, with : 1 redis, 1 scheduler and 1 worker
container on the same instance. On scheduler and worker I install* python
3.4* (airflow 1.8) and distributed my task with
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