postgresql query optimization

MySQL query too slow is a very annoying thing, so, the author has spent some time to organize the MySQL Query speed optimization program, this article is all the author's personal views, such as questions or wrong welcome to communicate and correct, we learn together progress. Count () Optimization for MySQL large tab

It is well known that in today's popular enterprise architecture, ORM has always been the most basic part, at the bottom of the architecture design, providing object-oriented operational support to the logical layer, and the fact is always biased with our expectations, ORM in providing a better operating experience, also lost a part of native SQL flexibility and efficiency, Of course, this problem does not affect our use of ORM framework, but it hinders our website traffic, especially in the ent

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 tables, cursors are not unusable. Using Fast_forward cursors on small datasets is often preferabl

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

,'YYYYMMDD') Rangebetween thePreceding Currentrow)End asf70115_70011, Case whenA.c_date>To_char (sysdate-3,'YYYYMMDD') Then sum(VALUEF1) Over(Partition byA.code,a. Year Order byTo_date (A.c_date,'YYYYMMDD') Rangebetween thePreceding Currentrow)End asf70104_70011, Case whenA.c_date>To_char (sysdate-3,'YYYYMMDD') Then sum(VALUEF6) Over(Partition byA.code,a. Year Order byTo_date (A.c_date,'YYYYMMDD') Rangebetween thePreceding Currentrow)End asf70126_70011, Case whenA.c

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

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

rcvblls.balance>0ORDER by Cust.nameInto TEMP cust_with_balanceThen query in the temporary table in the following way:SELECT * from Cust_with_balanceWHERE postcode> "98000"The rows in the staging table are less than the rows in the primary table, and the physical order is the required order, reducing disk I/O, so the query effort can be significantly reduced.Note: Changes to the primary table are not reflec

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

Optimization of SQL massive data query and non-use like processing solutions, data query like 1. To optimize the query, try to avoid full table scanning. First, consider creating an index on the columns involved in where and order. 2. Try to avoid null value determination on the field in the where clause. Otherwise, th

Optimization of SQL massive data query and non-use like processing solutions, data query like 1. To optimize the query, try to avoid full table scanning. First, consider creating an index on the columns involved in where and order.2. Try to avoid null value determination on the field in the where clause. Otherwise, the

Label:Posted by Talks on 2012/02/24 | The first chapter of the prefaceSecond connection optimizationThird Article index optimizationFour-piece query optimizationThe fifth chapter to the actual combatQuery optimizationQuery optimization involves the use of indexes, sorting, group operations, and their writing habits when users query data. (original link http://ddb

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

. Method Three: Using connection query Connection queries include: 1. Self-connect (join equals inner JOIN): Query result is data that exists on both sides 2. Left join to the left join: return all data on the right, return to the back, null not present 3. Right join: Return all data on the right, return on left, no null 4. Fully connected full join: Returns if one of the tables exists and the other does

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

What is a slow query?When the query executes more than the specified time (long_query_time) of the MySQL system setting, the query is called a slow query and is logged into the slow query log file.Logging slow query log settings i

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