Assuming a table of 50 million last names (for example), how would one efficiently identify the top 10,000?
In our database tables we keep a number of counting columns to help reduce the number of complex look-up queries. For example, in our users table we have columns for the number of reviews written, pho
Tables stores (100,000 rows): id (pk), name, lat, lng, ... store_items (9,000,000 rows): store_id (fk), item_id (fk)
I have a VIEW which is SLOW. I don\'t like the VIEW Statements as there are lot of JOINS and UNION开发者_C百科.
My data scheme is really simple, let s say it\'s about farms tableA is the main one, with an important field \"is_active\" assuming
I have the the following SQL query Declare @tempcalctbl Table ( ItemId varchar(50), ItemLocation varchar(50),
Lets say I have the following tables: create table table_a ( id_a, name_a, primary_key (id_a) ); create table table_b
I\'m mapping some POCO classes to an existing database with several lookup tables and I was wondering what would be the most efficient or recommended way to proceed.
SELECT DISTINCT \"myapp_profile\".\"us开发者_如何学Goer_id\", \"myapp_profile\".\"name\", \"myapp_profile\".\"age\", \"auth_user\".\"id\", \"auth_user\".\"username\",
I have 2 models: Category(models.Model): name = models.CharField(max_length=30) no_of_posts = models.IntegerField(default=0) # a denormalised field to store post count
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