Django: Count Queries and Query time without using connection.queries


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For performance monitoring I want to send the count of total queries and the elapsed query time for each request to statsd. In dev/staging I can use connection.queries but I obviously don't want to enable debug on production.


Is there another way to do this without writing a custom cursor wrapper? Anyone have experience doing this?


Related to : Django: Count Queries and Query time without using connection.queries
Nested sql count from two count queries into one query
Web Design

I am struggling with a way to combine two queries into one (obvious i am not an sql guru ;))


SELECT COUNT(orderid) AS TotalAmountOfOrders
FROM tableorder
WHERE (YEAR(orderDate) BETWEEN 2012 AND 2012)
SELECT COUNT(errorid) AS AmountOfErrorsOnOrders
FROM tableError
WHERE (YEAR(errorDate) BETWEEN 2012 AND 2012)

The problem is if i am just adding them as


SELECT COUNT(orderid) AS ...,COUNT(errorid) AS ...
From tableorder inner join tableError

I am not getting the total amount but only the amount of orders with errors

how to resolve General error: 2014 Cannot execute queries while other unbuffered queries are active. using PDO connection
Web Design

While i am executing second Stored procedure with same connection statement(Using PDO), getting the below error.


=================================================


SQLSTATE[HY000]:
General error: 2014 Cannot execute queries while other unbuffered queries are active. Consider using PDOStatement::fetchAll().
Alternatively, if your code is only ever going to run against mysql, you may enable query buffering by setting the
PDO::MYSQL_ATTR_USE_BUFFERED_QUERY attribute.


=======================================================


This is my code in drupal


$conn->setAttribute(
How come queries aren't being added to Django's db.connection.queries in tests?
Web Design

I'm trying to capture the queries which my code submits to the database by examining the contents of django.db.connection.queries. For some reason though, after all the automatically produced setup queries are logged, no further queries are logged from my own code. The following test case demonstrates the behavior.


from django.test import TestCase
from django.db import reset_queries, connection
from django.contrib.auth.models import User
from django.conf import settings
class Test1(TestCase):
def setUp(self):
settings.DEBUG = True
def test1(self):
self.assert_(settin
Django: Count Queries and Query time without using connection.queries
Web Design

For performance monitoring I want to send the count of total queries and the elapsed query time for each request to statsd. In dev/staging I can use connection.queries but I obviously don't want to enable debug on production.


Is there another way to do this without writing a custom cursor wrapper? Anyone have experience doing this?


Django queries: how to annotate with a filtered count?
Web Design

Suppose I have a Book model with a language field and a foreign key to a Publisher model.


Currently I use a Count annotation in a custom Publisher manager to allow me to add to the admin a sortable column with the number of books by each publisher. (see http://stackoverflow.com/questions/3491766/how-to-add-a-sortable-count-column-to-the-django-admin-of-a-model-with-a-many-to )


My problem now is that I need to have a different column count for the books published in each language.


Is there any way to make the annotation subject to a filter of the related model?


Using django.db.connection.queries
Web Design

I've got a Python/Django application which runs quite a lot of SQL statements. For debugging purposes, I thought I should create a simple view for me which just lists all the SQL statements that have been run.


According to the documentation, this code should be enough to do that:


from django.db import connection
connection.queries

as long as DEBUG is True.


However, this is not giving me anything. DEBUG is most certainly set to True. In what context is this connection.queries stored? I'm mean, I should be able to execute one page which executes a lot of SQL statements, and then ju


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