Lets say you have 4 types of assessments, Test, Quiz, MiniQuiz and FinalExam and we store records in the database like so
We have a table with 6 million records, and then we have a SQL which need aroun开发者_Python百科d 7 minutes to query the result. I think the SQL cannot be optimized any more.
I am trying to extract duplicate rows from my database. I have a listings table and a listings_meta table which holds additional information. The list开发者_如何学JAVAings_meta table has over 16,000 r
I\'m using SQLite to maintain a database which contains, among other things, a table with paths. The CREA开发者_如何转开发TE statement for the table looks like this
A quick question. I have a simple table with this structure: USERS_TABLE = {id}, name, number_field_1, number_field_2, number_field_3, number_field_4, number_field_5
Please scroll down to the "25/08/2010 Update". I have a query which I have turned into a view. It runs very slowly because (as far as I understand) there are several issues with indexes on t
I\'m running the following query in MYSQL select distinct straight_join cu.entryid entryid, t0.tokpos starting_position,
I have a table I\'m working on that has around 3 million tuples. It doesn\'t change too often (a few updates or inserts per week) and is read a lot. (Please don\'t comment on the varchar of length 1.
Here is my table structure MyTable ----------- ObjectID int (Identity),-- Primary Key FileName varchar(10),
I am creating sql queries and I have read in one book that when using NOT operator or LIKE operators Indexes do not work. How much true this statement is. How can we avoid this if the statement is tru
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