See https://groups.google.com/d/msg/web2py/1ULZttF2a-k/r5ZeDbTfAAAJ.
You can start by setting cacheable=True to see if that helps, and then try
the custom processor if it's still too slow.
Anthony
On Monday, November 19, 2018 at 7:53:25 AM UTC-5, Thomas Klopf wrote:
>
> Hi Massimo, thanks for the info! Please do you have more info about not
> converting to objects?
>
> On Sunday, September 2, 2018 at 10:51:21 PM UTC+2, Massimo Di Pierro wrote:
>>
>> You can with
>>
>> db = DAL('oracle:...)
>> db.connection.cursor.arraysize =100000
>>
>> But I suspect the problem is another. The problem is that web2py turns
>> the response into objects and that takes a lot of time.
>> If you do not want that there is a way to prevent it.
>>
>> On Sunday, 2 September 2018 11:03:30 UTC-7, Thomas Klopf wrote:
>>>
>>> Hi everyone!
>>> Please I'd appreciate some tips on a problem I'm having.. I have a
>>> remote Oracle DB I'm connecting to with web2py, and performance is very
>>> slow retrieving large select queries/result sets. I tried manually
>>> connecting with the cx_Oracle package, and found a huge performance
>>> increase by setting the "arraysize" value really high, e.g.:
>>>
>>> db = cx_Oracle.connect("blablabla")
>>> cursor = db.cursor()
>>> cursor.arraysize =100000
>>> cursor.execute(somesql)
>>>
>>> but please how can I change this 'arraysize' value within web2py/DAL
>>> with the Oracle driver?
>>>
>>> Thanks!
>>> Tom
>>>
>>>
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