SQL Server 2005 for mass data processing

The size of a very large database often reaches hundreds of GB, sometimes even in terabytes. The amount of data on a single table tends to be hundreds of billions of records, and the number of records grows over time. This not only affects the operation efficiency of the database, but also increases the difficulty of maintaining the database. In addition to the amount of data in the table, the different access modes to the table can also affect performance and availability. These problems can be greatly improved by the reasonable zoning of large tables. When tables and indexes become very large, partitioning can increase the efficiency of the system by dividing the data into smaller, more manageable parts. If the system has multiple CPUs or multiple disk subsystems, better performance can be achieved through parallel operations. So partitioning a large table is a very efficient way to deal with massive amounts of data. This article provides a concrete example of how to create and modify partitioned tables, and how to view partitioned tables.

1 SQL Server 2005

SQL Server 2005 is a database platform that Microsoft launched in the five years after the launch of SQL Server 2000, its database engine provides more secure and reliable storage for relational data and structured data, enabling users to build and manage highly available and high-performance data applications for the business. In addition, SQL Server 2005 combines analysis, reporting, integration, and notification capabilities. This enables organizations to build and deploy cost-effective BI solutions that help teams bring data applications to various areas of business through scorecards, Dashboard, Web services, and mobile devices. Whether you are a developer, a database administrator, an information worker, or a decision maker, SQL Server 2005 can provide innovative solutions and get more benefit from your data.

The new features it brings, such as T-SQL enhancements, data partitioning, service proxies, and integration with the. Net framework, are greatly enhanced in terms of manageability, availability, scalability, and security.

The concrete implementation method of 2 table partitioning

Table partitions are divided into horizontal and vertical partitions. A horizontal partition divides a table into multiple tables. Each table contains the same number of columns, but fewer rows. For example, you can partition a table that contains 1 billion rows horizontally into 12 tables, each representing one months of data in a specific year. Any query that requires a specific month's data simply references the table of the corresponding month. A vertical partition, however, divides the original table into multiple tables that contain only a few columns. Horizontal partitioning is the most common partitioning method, and this article introduces the concrete implementation methods with horizontal partitioning.