i Racke,
I am getting ('The read operation timed out',) error when sending data
from ansible to snow even for some 300 lines also . could you please
suggest how this can be isolate?
On Tuesday, 31 March 2020 06:55:21 UTC-5, Stefan Hornburg (Racke) wrote:
>
> On 3/31/20 1:19 PM, Diyawary wrote:
> > Thanks For Reply Racke, I have checked with the snow guy and there side
> has no time limtiation for connection close and
> > they are saying as below-
> >
> > There are no properties restricting how long SNOW will take to respond.
> Response time restrictions are usually placed on
> > the calling application, not the receiving application.
> >
>
> If the operation is running into Ansible's timeout, it would be a
> different message. "Something like The read operation
> timed out".
>
> In my opinion this is a local problem and pretty much offtopic now.
>
> Regards
> Racke
>
> >
> > On Tuesday, 31 March 2020 16:06:27 UTC+5:30, Stefan Hornburg (Racke)
> wrote:
> >
> > On 3/31/20 12:25 PM, Diyawary wrote:
> > > I am sending some 4500 lines data from Ansible to snow table via
> uri module. however 4100 records updated to snow
> > table
> > > rest of the data did not updated this job runs around 122 or 123
> sec and throw below error. less amount of data is
> > > updated properly .
> > > *
> > > *
> > > *Status code was -1 and not [200]: Connection failure: connection
> was closed before a valid response was received:
> > ''*
> > >
> > > In my code I have already increased the timeout value- to 500 sec
> > > url:
> > > method: POST
> > > user: "{{ snow_username }}"
> > > password: "{{ snow_password }}"
> > > body: '{"List":{{list_item}}, "Region": X - DEV " }'
> > > body_format: json
> > > force_basic_auth: yes
> > > status_code: 200
> > > timeout: 500
> > > Please suggest how can resolved this issue asap.
> > > Appriciate your help in adavance
> >
> > My interpretation of the error message would be that the URL
> endpoint closed the connection, so increasing the
> > timeout on Ansible's side doesn't help.
> >
> > It is likely that the URL endpoint ran into a timeout. Maybe you
> could breakdown the data in several batches.
> >
> > Regards
> > Racke
> >
> > >
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