using count in sql

The number of records in the database table is: Sql> Select COUNT (*) from table_name t; COUNT (*)----------6873 1, using the statistical results of COUNT (*): Sql> alter session Set Nls_language = "American"; Session altered. Sql> set timing on;Sql>

In SQL Server, COUNT (*) or COUNT (1) or count ([column]) may be the most commonly used aggregate function. A lot of people actually have a clear distinction between the three. This article will describe the roles, relationships, and principles

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

For more information about bugs fixed in SQL Server 2000 Service Pack 4, click the following article number to view the article in the Microsoft Knowledge Base:314128 FIX: When an RPC call is performed, Access with conflicting values includes an

Execution effect: 1. Count (1) and COUNT (*) when the table has a larger amount of data, using count (1) is more time-consuming than using count (*) when analyzing the table. From the execution plan, the effect of count (1) and COUNT (*) is the

SQL Optimization-count, table join sequence, conditional order, in, exist, countexist 1. About count I have read some articles about count (*) and count (Column). Is the efficiency of count (column) higher than that of count? In fact, I personally

If NULL participates in the aggregation operation, all other aggregation functions except count (*) ignore null. Such as:ID DD1 E2 NULLSelect COUNT (*) from table--the result is 2Select COUNT (DD) from table---result is 1Efficiency issues:When the

In cases where null is not considered, if NULL participates in the aggregation operation, the aggregate function except COUNT (*) ignores null.Count (1) and count (primary key) both scan the primary key index to get the data,COUNT (*) is the scan

35. use SQL query analyzer and SQL profilerUse SQL query AnalyzerUse SQL profilerOptimize T-SQL statementSummaryIn this chapter, we will continue with the description of the pre-stored procedures in Chapter 21st. This chapter describes how to use

In this paper, the optimization of count, table connection order, conditional order, in and exist in SQL optimization is very practical. Details are as follows: One, about count Have you seen some online articles about count (*) and count (columns)