I\'m lost regarding indexing.I have a moderately complex web app that I\'m building for a client and it has several count(*) queries that are all running very slow (0.3 seconds)
I\'m am trying to use a levenshtein algorithm I found on the \'net to calculate the closest value to a search term.In order to implement fuzzy term matching.My current query runs about 45 seconds long
I\'m using MS SQL. I have a huge table with indices to make this query fast: select userid from IncrementalStatistics where
I\'m trying to get the count of surveys that need to be taken which is stored in seotc, and the count of surveys completed, stored seotcresults_v2.The seotc table holds nearly 100k records, and the se
I have a table using InnoDB that stores all messages sent by my system. Currently the table have 40 million rows and grows 3/4 million per month.
Update: My bad...I have an primary key on those tables..I meant no further indexing currently on the tables. We might have it in the
Using sys.dm_os_wait_st开发者_运维百科ats I have identified what I believe is a locking problem
I have a MySQL 5.0 query regularly taking 14+ seconds, called from a web page, and users are impatient. It\'s fairly simple, selecting 11 columns from 2 tables. I have three questions:
If you have some models: class Teacher(models.Model): name = models.CharField(max_length=50) class Student(models.Mode开发者_运维百科l):
I have a table \"test\" containing millions of entries. Each row contains a floating point \"feature\" and a \"count\" how often this feature is present in item \"id\". The primary key for this table
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