Re: Python 2: unicode vs str param causing slowness

Shai Berger <shai-9mtU2oJkgntWk0Htik3J/[email protected]> Thu, 22 Jan 2015 13:03:14 +0200
Newsgroups gmane.comp.python.db.cx-oracle
Message-ID <[email protected]>
Django sets it to ".UTF8".

On 22 בינואר 2015 12:46:07 GMT+02:00, Vladimir Ryabtsev <[email protected]> wrote:
>Dayton,
>what is the value of NLS_LANG on client machine?
>What is returned by 'SELECT USERENV ('language') FROM DUAL' when
>calling
>from django?
>
>2015-01-21 21:37 GMT+03:00 Dayton Gomez <[email protected]>:
>
>> I grabbed the ful query, plus the bound variables. I get this for
>bound
>> vars:
>>
>> DATATYPE_STRING   VALUE_STRING
>> ---------------------------    ----------------------
>> NVARCHAR2(32)        ios
>>
>> It seems right. The only thing I notice is that the table definition
>is
>> for NVARCHAR2(20).
>>
>> From: Vladimir Ryabtsev <[email protected]>
>> Reply-To: "[email protected]" <
>> [email protected]>
>> Date: Tuesday, January 20, 2015 2:42 PM
>> To: "[email protected]" <
>> [email protected]>
>> Subject: Re: [cx-oracle-users] Python 2: unicode vs str param causing
>> slowness
>>
>> Hi,
>> Did you try to look the text of actual query that being executed when
>you
>> come across the slowness?
>> Something like this:
>>
>http://stackoverflow.com/questions/55899/how-to-see-the-actual-oracle-sql-statement-that-is-being-executed
>> You can also find out the datatype of your bound variable :platform
>as
>> mentioned here:
>>
>http://stackoverflow.com/questions/1707291/how-to-get-the-last-executed-sql-statement-and-bind-variable-values-in-oracle
>> This will you give a clue about implicit datatype conversion.
>> I don't think it's a django thing.
>>
>>
>>
>>
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------------------------------------------------------------------------------
New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
GigeNET is offering a free month of service with a new server in Ashburn.
Choose from 2 high performing configs, both with 100TB of bandwidth.
Higher redundancy.Lower latency.Increased capacity.Completely compliant.
http://p.sf.net/sfu/gigenet

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