My tasks are increasing in retry count but I have no logs showing they ever
executed. My backends are shutting down pre-maturely (that process these
tasks) and again, no errors or anything in the logs explaining why. Not
sure if this is a backend or taskqueue issue. Here is the latency graph
started
connecting again, the instances came back up.
Prateek Malhotra
Project Manager/Lead Web Applications Developer
ReferABuyer.com - Developer of the Automatic$eller Software!
1973 Washington Valley Road
Martinsville, NJ 08836
Phone: 732-868-4421
Fax: 732-356-5875
http
codes. What is your backend doing? Does it depend on any non-GAE APIs?
-
-Vinny P
Technology Media Advisor
Chicago, IL
@GOV on AppDotNet: https://alpha.app.net/gov
On Tuesday, April 2, 2013 11:29:53 AM UTC-5, Prateek Malhotra wrote:
My tasks are increasing in retry count
I keep getting Server 500 errors when I try to access the admin section of
my application on the non-default version. It works fine locally, it was
working fine last week (no modifications since), and it works fine on the
default version (only from my custom domain, NOT from
The URL the 500 error appears on is as
follows: http://app_version.app_id.appspot.com/_ah/conflogin
On Tuesday, May 28, 2013 4:53:19 PM UTC-4, Prateek Malhotra wrote:
I keep getting Server 500 errors when I try to access the admin section of
my application on the non-default version
Today all of the sudden in my Python app the code `str(datetime.datetime)`
started producing results with a time zone offset (e.g. +) at the end
where it wasn't done before. The only difference I can see to my app is the
change from 1.8.8 to 1.8.9. It broke some code that was expecting
on jumping the gun there.
Thank you,
Prateek Malhotra
Project Manager/Lead Web Applications Developer
ReferABuyer.com - Developer of the Automatic$eller Software!
1973 Washington Valley Road
Martinsville, NJ 08836
Phone: 732-868-4421
Fax: 732-356-5875
http://www.referabuyer.com
prat
Hello,
I am trying to understand running a map-reduce job a little better. I know
a lot of datastore operations are required to keep the state of the job,
but how does the mapreduce library keep track of yielded data?
I am running a job to process over 13 million entities and normalize some
We have a process that splits a job between backend instances and
synchronizes via memcache (not the best method, I know, but it has been
working for us). Earlier in the day, we started seeing weird behavior. Its
one or more of the following:
1. Backends are acting funky
2. Memcache
The status dashboard keeps switching between Elevated and Normal and
these graphs show an obvious spike in latency:
Memcache Set:
https://lh4.googleusercontent.com/-1MEvD3r645s/UQLsMBFp-CI/AAw/G0mcAtUj-xI/s1600/memcache_put.png
HR Datastore Queries:
on the reports and that's
taking 15 minutes or more.
Any help would be greatly appreciated!
-Prateek
On Friday, January 25, 2013 3:36:26 PM UTC-5, Prateek Malhotra wrote:
The status dashboard keeps switching between Elevated and Normal and
these graphs show an obvious spike in latency
Sorry, I meant if I put in the names of the module I want, 'default', or
even if I omit all parameters, the error is raised. It was my impression
that if the parameters were not supplied, it should pick up the current
module/version and return that information to me.
On Sun, Mar 16, 2014 at
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