You could queue the tasks in a broker (rabbitmq for example) and use a
fixed number of celery workers to process them and save them to the
database, assuming:

- you don't have 1000 requests per second all the time
- you don't need the data to be stored immediately

On 1/4/17, Avraham Serour <[email protected]> wrote:
> can you elaborate on this scenario? how and why can your database shutdown?
>
> I second the suggestion about returning error and telling the client to try
> later, but it should be >=500 not 400. 4xx Are for client errors, 5xx are
> for server errors. see http://www.restapitutorial.com/httpstatuscodes.html
>
> On Wed, Jan 4, 2017 at 10:47 PM, Vinicius Assef <[email protected]>
> wrote:
>
>> Or you could return a http status 400 if the transaction couldn't be
>> committed. So, the client should re-run the request later.
>>
>> If this is not an option, you should lay upon a queue as you suggested.
>>
>> Bad things always can happen. So, try your best to avoid i/o problems
>> if your clients cannot re-make requests in case of problems in your
>> side.
>>
>> --
>> Vinicius Assef
>>
>>
>>
>> On 4 January 2017 at 14:39, Bruno Barbosa <[email protected]> wrote:
>> > Hello everybody!
>> >
>> > I have an application that receives about 1000 POST requests per
>> > second.
>> On
>> > each request I writte a line on my database table. On this scenario my
>> > database can shutdown during execution.
>> >
>> > Is it a good pratice to store these data on array in cache (redis) and
>> > on
>> > each minute through celery get then and use a bulk_create to insert all
>> data
>> > on database?
>> >
>> > Bruno
>> > --
>> >
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