I am writing a query for a very specific report that contains a variable number of columns, based onspecific relationships of an item. I am open to suggetions on how to change the query if needs be, b
I have a query like below. SE开发者_如何学PythonLECT a,b,c,d FROM table_name WHERE e=1 AND f=0 GROUP BY d
I have a database ~800k records showing ticket purchases. All tables are InnoDB. The slow query is: SELECT e.id AS id, e.name AS name, e.url AS url, p.action AS action, gk.key AS `key`
I am using Oracle 10g. Here is my query select * from Entries where RefKey in (select RefKey from Entries
This question already has answers here: Closed 11 years ago. Possible Duplicate: Which is faster/best? SELECT * or SELECT column1, colum2, column3开发者_JAVA技巧, etc.
I have a database with a bunch of records and when I load up the page with the following SQL its really slow.
In MySQL, I always consider: .... WHER开发者_如何学PythonE type > 5 to be faster than: ... WHERE type != 4 AND type != 6 AND type != 10
The following query/queries get the cities the user has visited, get the places where the user has visited; and returns the places in those cities where the user hasn\'t been.
I have a sql databse which is required to store a set of demographic personal data which must be queried quickly.
I have a MySQL database with a relationship table which can be simplified to: CREATE TABLE `Paths` ( `origin` char(32) NOT NULL,
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