The most difficult thing for us was having 3 beanstalkd servers and worrying 
about the order these queries would be executed. --chad

On Mon, Feb 10, 2014 at 12:47 AM, Isaac Foraker <[email protected]> wrote:

> Straight SQL is definitely simpler to implement on a first pass.  It can
> be a bit more complicated to lock down once you start adding
> authentication and access control.  It also moves business logic from
> the server to the client, so be cautious.
> IF
> On 02/09/2014 09:47 PM, Chad Kouse wrote:
>> Dead simple - stick SQL queries into the queue and then have a consumer 
>> actually run them. Gets a little more complex with multiple queues. --chad
>> 
>> On Sun, Feb 9, 2014 at 11:21 PM, Isaac Foraker <[email protected]> wrote:
>> 
>>> I use beanstalk queues for database updates on one of my projects to
>>> avoid DDoS'ing my web server.
>>> I wrote a server side daemon that reads messages out of a queue that
>>> look like this:
>>>   {'table': {'id': 123, 'field1', 'value', 'field2', 'value'}}
>>> It is pretty straight forward to use the YAML support built into the
>>> standard beanstalk clients to serialize your structures from your source
>>> language.  I use a ruby reader on the server, and ruby and perl clients
>>> (one of my users may have implemented a java client recently as well).
>>> If you are using Rails on your server, it is really easy to convert the
>>> table name to model with code like:
>>>   data = record-from-beanstalk-message-ybody
>>>   table = 'users'
>>>   model = table.singularize.classify.constantize
>>>   record = model.find(data['id'])
>>>   data.delete :id
>>>   record.update_attributes(data)
>>> To help reduce client/server transactions, I also implemented support of
>>> nested, relational lookups so the clients do not need to look up the IDs
>>> of related tables.  E.g.,
>>>   {'reports':
>>>     {'id': 123, 'notes': 'some notes', 'users': {'name': 'fox'}}}
>>> In this example, the user record would be looked up, and user_id would
>>> be set in the report record.
>>> Good luck in your project.
>>> IF
>>> On 02/09/2014 01:29 PM, Piotr Koryśko wrote:
>>>> Hi all,
>>>> I just found out about beanstalkd. I got lot insert/update queries per 
>>>> second in my database, which my PostgreSQL (with PgBouncer) can't handle 
>>>> (statement timeouts). I can afford to have this data available to read 
>>>> with 
>>>> some delay. 
>>>> Can I use beanstalked to create queries queue, how can I achive that? The 
>>>> documentation is quite poor.
>>>>
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