Sql Compare With Null

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optimization of SQL Server database under large data volume

1.1: Increase the secondary data file from SQL SERVER 2005, the database does not default to generate NDF data files, generally have a main data file (MDF) is enough, but some large databases, because of information, and query frequently, so in order to improve the speed of query, You can store some of the records in a table or some of the tables in a different data file. Because the CPU and memory speed is much larger than the hard disk read and write speed, so you can put different data files on different physical hard drive, so that the execution of the query, ...

Mysql database sql statement commonly used optimization methods

MySQL database sql statement commonly used optimization methods 1. Query optimization, should try to avoid full table scan, should first consider where and order by the columns involved in the establishment of the index. 2. Should be avoided in the where clause on the field null value judgment, otherwise it will cause the engine to abandon the use of indexes and full table scan, such as: select id from t where num is null You can set the default value of num 0, to ensure that Num column table does not null value ...

String Pattern Matching in MySQL

MySQL provides standard SQL pattern matching and a format based on pattern matching of extended regular expressions like Unix utilities such as vi, grep and sed. Standard SQL Pattern Matching SQL pattern matching allows you to match any single character with "_" and "%" with any number of characters (including zero characters). In MySQL, the default SQL mode is case-insensitive. Here are some examples. Note that you can not use = or! = While you are using SQL mode, and use LIKE or NOT LIKE to compare operators ...

Several types of SQL connections: internal, leftist, right, full, cross connection

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp;     SQL connections can be divided into internal, external, and cross joins. Database data: Book table ...

Mysql increase the index of the three principles

First, the importance of the index The index is used to quickly find a column in a particular value of the line. Instead of using an index, MySQL must start with the first record and then read the entire table until it finds the relevant row. The larger the table, the more time it takes. If the table in the query column index, MySQL can quickly reach a location to search the middle of the data file, there is no need to see all the data. Note that if you need to access most of the rows, sequential reads are much faster since we avoid disk searches. If you use Xinhua Dictionary to find "Zhang" the Chinese characters, do not use the directory, then ...

Lucene.Net Multi-field multiple index directory search

Lucene.Net is an open source project for Full-text indexing that is currently widely used in. NET environments and is used for full-text indexing in project development. A few small problems in the development process are searching for multiple fields and multiple indexed directories. 1, a multiple-field search is to have more than one field of the content of the comparison search, similar concepts in SQL is select * from Table where a like '%query% ' or b '%query% '. Luce ...

Recent study NoSQL read some information

After completing one of the biggest projects of the year, the focus is shifting from PM's role to storage-related work, so it took some time outside of the work to focus on NoSQL related information (mainly from blog.nosqlfan.com) NoSQL related [translate] nosql ecosystem Http://blog.nosqlfan.com/html/2171.html//This is the best and most complete document I have seen NoSQL speak about nos ...

Set up MySQL query optimization from four details

It is well known that query optimization is an unavoidable topic in any database. For database engineers, optimization is the most challenging job. MySQL Open source database is no exception. In fact, the author believes that the database optimization is not as much as we imagine the suffering.   Under normal circumstances, you can start from the following four details to do a good job in the MySQL database query optimization. First, use the Explain keyword to evaluate the flaw in the query statement as shown in the following figure, now the author in the database to execute a simple select ...

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