This article mainly describes the MySQL query optimizer In the MySQL query optimization series. When you submit a query, the MySQL database will analyze it, it mainly depends on whether it can be used for optimization to make processing of the
than 10,000 rows of data.26. Before using a cursor-based method or temporal table method, you should first look for a set-based solution to solve the problem, and the set-based approach is generally more efficient.27. As with temporary tables, cursors are not unusable. Using Fast_forward cursors on small datasets is often preferable to other progressive processing methods, especially if you must reference several tables to obtain the required data. Routines that include "totals" in the result s
Oracle multi-Table query optimization and Oracle Optimization
ORACLE has a high-speed buffer concept. This high-speed buffer is used to store the executed SQL statements. Therefore, oracle has to do a lot of work when executing SQL statements, such as parsing SQL statements and estimating index utilization, bind variables, read data blocks, and so on. Assuming th
Query optimizer of MySQL Query optimization series (1) when you submit a query, MySQL will analyze it to see if some optimization can be done to make it faster. This section describes how the query optimizer works. If you want to
Java Engineering Optimization-ORM framework Query Optimization Principle
As we all know, in the current popular enterprise-level architecture, ORM has always been the most basic part. At the bottom of the architecture design, it provides object-oriented Operation Support for the logic layer, the fact is always different from what we expected. When ORM provides a
procedure, TRUNCATE table first, and then drop table, which avoids longer locking of the system tables. 25. Avoid using cursors as much as possible, because cursors are inefficient and should be considered for overwriting if the cursor is manipulating more than 10,000 rows of data. 26. Before using a cursor-based method or temporal table method, you should first look for a set-based solution to solve the problem, and the set-based approach is generally more efficient. 27. As with temporary tabl
Boss said that the usual query data large data to avoid using the join would rather once the data of a table to find out to use this data to do the query and do not use too much of the join as much as possible into the query to do, please the big God to say that the SQL optimization
Reply content:
Boss said that t
copy of the original table, but in fact each server has only one member table and a distributed partition view. The data location is transparent to the application.11. Rebuild the index DBCC reindex, DBCC indexdefrag, shrink data and log DBCC shrinkdb, and DBCC shrinkfile.Set automatic log shrinking. Do not set Automatic database growth for large databases, which will reduce server performance.
T-SQL is very well written. The following lists common points:First, the
ORACLE multi-Table query optimization and ORACLE Optimization
ORACLE has a high-speed buffer concept. This high-speed buffer is used to store the executed SQL statements. Therefore, oracle has to do a lot of work when executing SQL statements, such as parsing SQL statements and estimating index utilization, bind variables, read data blocks, and so on. Assuming th
member table and one distributed partitioned view on each server. The location of the data is transparent to the application.11. Rebuild the index DBCC REINDEX, DBCC INDEXDEFRAG, shrink data and log DBCC SHRINKDB,DBCC shrinkfile. Sets the auto-shrink log. For large databases do not set the database autogrow, it will degrade the performance of the server. There's a lot of emphasis on T-SQL, and here's a list of common points: first, the DBMS processes
Label:1, what is a subquery, table association query:Subquery: Refers to using a SELECT query statement in the Select or WHERE clause in the main SQL statement; Select A.name, (select B.name from B where b.id=a.id) from a where a.name lik ' a %‘Table Association query: refers to multiple tables union query; Select A.name,b.name from a A, where a.id=b.id and a.nam
cursors are inefficient and should be considered for overwriting if the cursor is manipulating more than 10,000 rows of data.26. Before using a cursor-based method or temporal table method, you should first look for a set-based solution to solve the problem, and the set-based approach is generally more efficient.27. As with temporary tables, cursors are not unusable. Using Fast_forward cursors on small datasets is often preferable to other progressive processing methods, especially if you must
SQLite is a typical embedded DBMS with many advantages. It is lightweight and small after compilation. One of the reasons is that it is relatively simple in query optimization, it only uses the index mechanism for optimization:
I. Factors affecting query performance:
1. The
The optimizations described in the previous section are implemented by a MySQL user with no privileges. The system administrator who can control the MySQL server or computer can perform additional optimization measures. For example, some server parameters are attached to the query processing process and can be adjusted, and some hardware configuration factors have a direct impact on the
distributed partitioned view on each server. The location of the data is transparent to the application. 11. Rebuild Index Dbccreindex,dbccindexdefrag, shrink data and log dbccshrinkdb, Dbccshrinkfile. Set the auto-shrink log. For large databases do not set the database autogrow, it will degrade the performance of the server. There's a lot of emphasis on T-SQL, and here's a list of common points: first, the DBMS processes the
Mysql database performance optimization sub-query and mysql database performance optimization
I remember that when I was working on a project, I heard a sentence and tried not to use subqueries. So let's take a look at this article to see if this sentence is correct.
Before that, we need to introduce some conceptual things and mysql's rough statement processing.
MySQL Query Optimization: Use a subquery instead of a non-primary key to connect to the query instance to introduce bitsCN.com one-to-many two tables. Generally, the foreign key of one table is associated with the primary key of another table. However, there are also some unusual situations, that is, two tables are not joined by the primary key of one of the tabl
Tags: Express with reference processing varchar stsmysq reconstruction attention Turn from HTTP://BLOG.163.COM/ZHANGJIE_0303/BLOG/STATIC/9908270620146951355834/1. To optimize the query, avoid full table scanning, first consider the Where and order by An index is built on the column involved. 2. You should try to avoid null values in the WHERE clause to judge the field, otherwise it will cause the engine to abandon using the index for full table sca
I believe that everyone is using hibernate (I am using 3.6 here, because I prefer spring, but the hibernate4.x series are a lot of duplicates with spring later, and spring also thinks that, hibernate4.x is a very well-developed framework. spring3.x has discarded Many hibernate support classes since then, so I will not upgrade hibernate, during the configuration of the hibernate ing file, if there is one-to-many (or many-to-many) attributes, hintify provides an
MySQL Query Optimization: LIMIT1 avoids full table scan to improve query efficiency bitsCN.com. in some cases, if only one query result is found, using LIMIT 1 in SQL statements will improve query efficiency.
For example, the following user table (primary key id, email addre
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.