select count where

Select count (*), Count (1), and Count (column) In SQL Server, Count (*), Count (1), or Count ([column]) is perhaps the most common aggregate function. Many people cannot tell the difference between the three. This article will explain the functions,

AIn general, select COUNT (*) and select COUNT (1) both return the same resultIf the table does not have a primary key (Primary key), then count (1) is faster than COUNT (*),If there is a primary key, the primary key is the fastest when the

Generally, the returned results are the same for select count (*) and select count (1 ). If the table does not have a primary key, count (1) is faster than count, If a primary key exists, the count (primary key) is the fastest when the primary key

1. The difference between count (1), COUNT (*), and count (column name)Believe that you are always at work, or in the study of Count () in the end how to use faster. There has been a lot of doubt, some people say that count (*) faster, some people

The difference between Select count (*) and Count (1) in SQL server and the execution method, selectcount In SQL Server, Count (*), Count (1), or Count ([column]) is perhaps the most common aggregate function. Many people cannot tell the difference

Difference between Select count (*) and Count (1) in SQL server and the execution Method In SQL Server, Count (*), Count (1), or Count ([column]) is perhaps the most common aggregate function. Many people cannot tell the difference between the three.

The table structure is as follows:Mysql> Show CREATE TABLE user\g;*************************** 1. Row *************************** table:usercreate table:create Table ' user ' ( ' id ' int (ten) unsigned not NULL AUTO _increment, ' name '

The table structure is as follows: The code is as follows Copy Code Mysql> Show CREATE TABLE Userg;1. Row ***************************Table:userCreate table:create Table ' user ' (' ID ' int (a) unsigned not NULL

SQL tuning is primarily about reducing the number of consistent gets and physical reads. COUNT (1) is compared with COUNT (*): If your datasheet does not have a primary key, then count (1) is faster than COUNT (*)If you have a primary key, the

In general, select COUNT (*) and select COUNT (1) are returned with the same result. If the table does not have a primary key (Primary key), then count (1) is faster than count (*). If there is a primary key, the primary key is the fastest as