SQL2005 大数据量检索的分页
仅列出实例SQL,其他的请大家自己完成吧
@StartIndex为当前页起始序号,@EndIndex为当前页结束记录序号,可以直接作为参数输入,也可以通过输入PageSize和PageIndex计算得出代码如下:
select * from
(
select *,row_number() over(order by OrderColumn) as orderindex from TableName
) as a
where a.orderindex between @StartIndex and @EndIndex

Hot AI Tools

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

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

Undress AI Tool
Undress images for free

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)

Hot Topics





Big data structure processing skills: Chunking: Break down the data set and process it in chunks to reduce memory consumption. Generator: Generate data items one by one without loading the entire data set, suitable for unlimited data sets. Streaming: Read files or query results line by line, suitable for large files or remote data. External storage: For very large data sets, store the data in a database or NoSQL.

AEC/O (Architecture, Engineering & Construction/Operation) refers to the comprehensive services that provide architectural design, engineering design, construction and operation in the construction industry. In 2024, the AEC/O industry faces changing challenges amid technological advancements. This year is expected to see the integration of advanced technologies, heralding a paradigm shift in design, construction and operations. In response to these changes, industries are redefining work processes, adjusting priorities, and enhancing collaboration to adapt to the needs of a rapidly changing world. The following five major trends in the AEC/O industry will become key themes in 2024, recommending it move towards a more integrated, responsive and sustainable future: integrated supply chain, smart manufacturing

1. Background of the Construction of 58 Portraits Platform First of all, I would like to share with you the background of the construction of the 58 Portrait Platform. 1. The traditional thinking of the traditional profiling platform is no longer enough. Building a user profiling platform relies on data warehouse modeling capabilities to integrate data from multiple business lines to build accurate user portraits; it also requires data mining to understand user behavior, interests and needs, and provide algorithms. side capabilities; finally, it also needs to have data platform capabilities to efficiently store, query and share user profile data and provide profile services. The main difference between a self-built business profiling platform and a middle-office profiling platform is that the self-built profiling platform serves a single business line and can be customized on demand; the mid-office platform serves multiple business lines, has complex modeling, and provides more general capabilities. 2.58 User portraits of the background of Zhongtai portrait construction

MyBatis is an excellent persistence layer framework. It supports database operations based on XML and annotations. It is simple and easy to use. It also provides a rich plug-in mechanism. Among them, the paging plug-in is one of the more frequently used plug-ins. This article will delve into the principles of the MyBatis paging plug-in and illustrate it with specific code examples. 1. Paging plug-in principle MyBatis itself does not provide native paging function, but you can use plug-ins to implement paging queries. The principle of paging plug-in is mainly to intercept MyBatis

In today's big data era, data processing and analysis have become an important support for the development of various industries. As a programming language with high development efficiency and superior performance, Go language has gradually attracted attention in the field of big data. However, compared with other languages such as Java and Python, Go language has relatively insufficient support for big data frameworks, which has caused trouble for some developers. This article will explore the main reasons for the lack of big data framework in Go language, propose corresponding solutions, and illustrate it with specific code examples. 1. Go language

As an open source programming language, Go language has gradually received widespread attention and use in recent years. It is favored by programmers for its simplicity, efficiency, and powerful concurrent processing capabilities. In the field of big data processing, the Go language also has strong potential. It can be used to process massive data, optimize performance, and can be well integrated with various big data processing tools and frameworks. In this article, we will introduce some basic concepts and techniques of big data processing in Go language, and show how to use Go language through specific code examples.

There are two most common ways to paginate PHP arrays: using the array_slice() function: calculate the number of elements to skip, and then extract the specified range of elements. Use built-in iterators: implement the Iterator interface, and the rewind(), key(), current(), next(), and valid() methods are used to traverse elements within the specified range.

In big data processing, using an in-memory database (such as Aerospike) can improve the performance of C++ applications because it stores data in computer memory, eliminating disk I/O bottlenecks and significantly increasing data access speeds. Practical cases show that the query speed of using an in-memory database is several orders of magnitude faster than using a hard disk database.
