What is the principle of oracle paging query
Jan 25, 2022 pm 04:59 PMOracle's paging query principle: 1. Use the characteristics of ORACLE's rownum field to query; 2. Query the specified number of N pieces of data; 3. Remove the M pieces of data from the specified number of N pieces of query results; 4. In web development, by passing M and N as parameters, you can get paginated results.
The operating environment of this tutorial: Windows 10 system, Oracle 11g version, Dell G3 computer.
What is the principle of oracle paging query?
The principle of paging:
1. Use the characteristics of the rownum field of ORACLE to query.
2. Query the first N pieces of data
3. Get M to N pieces of data from the query results in step 2
4. In web development Pass M and N as parameters to get paginated results.
Example: Query 20~30 records in the table, the sql statement is as follows.
select * from( select rownum as pageNo, A.* from tableName A where rownum <= 30) B where B.pageNo >=20;
Example:
--How to get the top 5 highest paid people in the employee table?
SELECT * FROM( SELECT * FROM emp ORDER BY sal DESC) WHERE Rownum<6
--How to obtain the information of the employee whose salary is ranked 5th in the employee table
SELECT * FROM( SELECT * FROM emp ORDER BY sal DESC) WHERE Rownum=5
--No content can be found in the query
--Same ROWNUM>=5 query 5 The results after the first place also failed
--This involves ROWNUM, which can only be less than but not greater than or equal to. So--an important obstacle to paging queries in Oracle database is this.
--As for the principle, ROWNUM is a pseudo column that must be arranged starting from 1 every time. So ROWNUM>=n. For example, it is not true if 1 is greater than any n (number of items). It can be found with ROWNUM=1. Because 1>=1 holds. N=2,1>=2 is not true. Therefore, only the first item can be checked for greater than or equal to. Plus less than or equal to. That’s all I can check. Therefore, this difficulty can be regarded as increasing the difficulty and obstacles of paging query.
--Method 1 The simplest query
--Articles 5 to 10.
--There is only one layer of nesting and one subquery,
SELECT * FROM (SELECT ROWNUM rn ,e.* FROM emp e WHERE ROWNUM<=10) WHERE rn>=5;
--This is actually transformed from the following method.
--That is, the new table obtained by the subquery is queried again.
--The key step is ROWNUM rn.
--And don't forget e.*, otherwise there will be no complete data.
SELECT * FROM (SELECT ROWNUM rn, e.* FROM emp e WHERE ROWNUM <= 10) table_1 WHERE table_1.rn>= 5;
--The above is not sorted, the following is sorted
--Because it must be sorted first before querying, the larger the table, the slower the efficiency.
--Method 2
SELECT * FROM (SELECT ROWNUM rm ,e.* FROM emp e order by sal DESC ) WHERE rm>=5 AND rm<=10
--The following is the method of using analytical functions;
--Method 3
SELECT * FROM (SELECT emp.*, ROW_NUMBER () OVER (ORDER BY sal DESC) rank FROM emp) WHERE rank >=6 AND rank<=10;
--But our actual query Looking at the results, it turns out they are completely different.
--Checked manually. The results of the analytical function method are correct. Don't understand.
--Can anyone explain it?
--Here comes a meaningless
SELECT * FROM (SELECT e.*, ROWNUM AS rn from ( SELECT * FROM emp ORDER BY sal DESC) e )ee WHERE ee.rn>=5 AND ee.rn<=10
--Method 4 (massive data query, such as Baidu, Tmall query)
SELECT * FROM( SELECT e.* ,ROWNUM rn FROM ( SELECT * FROM emp ORDER BY sal DESC ) e WHERE ROWNUM<=10 )WHERE rn>=6;
--Decomposition steps
--The first step:
SELECT * FROM emp ORDER BY sal DESC
--The second step:
SELECT e .*,ROWNUM rn FROM (SELECT * FROM emp ORDER BY sal DESC) e
--The third step:
SELECT e .*,ROWNUM rn FROM (SELECT * FROM emp ORDER BY sal DESC) e WHERE ROWNUM<=10
--The fourth step:
SELECT * FROM( SELECT e .*,ROWNUM rn FROM (SELECT * FROM emp ORDER BY sal DESC) e WHERE ROWNUM<=10) WHERE rn>=5
--Wrong guess.
SELECT e .*,ROWNUM rn FROM (SELECT * FROM emp ORDER BY sal DESC) e WHERE rn<=10
--To create an alias, you must query the data table.
--The query conditions are judged by conditions that do not yet exist, so they naturally fail.
--Method five, idle and boring usage
WITH ee AS ( SELECT e.*, ROWNUM rn FROM ( SELECT * FROM emp ORDER BY sal DESC )e ) SELECT ee.* FROM ee WHERE ee.rn>=5 AND ee.rn<=10
Recommended tutorial: "Oracle Video Tutorial"
The above is the detailed content of What is the principle of oracle paging query. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

To safely and thoroughly uninstall MySQL and clean all residual files, follow the following steps: 1. Stop MySQL service; 2. Uninstall MySQL packages; 3. Clean configuration files and data directories; 4. Verify that the uninstallation is thorough.

Oracle is not only a database company, but also a leader in cloud computing and ERP systems. 1. Oracle provides comprehensive solutions from database to cloud services and ERP systems. 2. OracleCloud challenges AWS and Azure, providing IaaS, PaaS and SaaS services. 3. Oracle's ERP systems such as E-BusinessSuite and FusionApplications help enterprises optimize operations.

MongoDB is suitable for unstructured data and high scalability requirements, while Oracle is suitable for scenarios that require strict data consistency. 1.MongoDB flexibly stores data in different structures, suitable for social media and the Internet of Things. 2. Oracle structured data model ensures data integrity and is suitable for financial transactions. 3.MongoDB scales horizontally through shards, and Oracle scales vertically through RAC. 4.MongoDB has low maintenance costs, while Oracle has high maintenance costs but is fully supported.

Abstract of the first paragraph of the article: When choosing software to develop Yi framework applications, multiple factors need to be considered. While native mobile application development tools such as XCode and Android Studio can provide strong control and flexibility, cross-platform frameworks such as React Native and Flutter are becoming increasingly popular with the benefits of being able to deploy to multiple platforms at once. For developers new to mobile development, low-code or no-code platforms such as AppSheet and Glide can quickly and easily build applications. Additionally, cloud service providers such as AWS Amplify and Firebase provide comprehensive tools

The main difference between MySQL and Oracle is licenses, features, and advantages. 1. License: MySQL provides a GPL license for free use, and Oracle adopts a proprietary license, which is expensive. 2. Function: MySQL has simple functions and is suitable for web applications and small and medium-sized enterprises. Oracle has powerful functions and is suitable for large-scale data and complex businesses. 3. Advantages: MySQL is open source free, suitable for startups, and Oracle is reliable in performance, suitable for large enterprises.

The difference between MySQL and Oracle in performance and scalability is: 1. MySQL performs better on small to medium-sized data sets, suitable for fast scaling and efficient reading and writing; 2. Oracle has more advantages in handling large data sets and complex queries, suitable for high availability and complex business logic. MySQL extends through master-slave replication and sharding technologies, while Oracle achieves high availability and scalability through RAC.

MySQL uses GPL and commercial licenses for small and open source projects; Oracle uses commercial licenses for enterprises that require high performance. MySQL's GPL license is free, and commercial licenses require payment; Oracle license fees are calculated based on processors or users, and the cost is relatively high.

The key to learning Java without taking detours is: 1. Understand core concepts and grammar; 2. Practice more; 3. Understand memory management and garbage collection; 4. Join online communities; 5. Read other people’s code; 6. Understand common libraries and frameworks; 7. Learn to deal with common mistakes; 8. Make a learning plan and proceed step by step. These methods can help you master Java programming efficiently.
