


SQL Server 2008 Enhancements to Handling Implicit Data Type Conversions in Execution Plans
Verified by the following test, first establish a test table with uneven data distribution.
USE tempdb GOCREATE TABLE _t( c varchar(50) );CREATE INDEX IX_c ON _t( c );GO-- 加入 10000 条数据INSERT _tSELECT (9999 + id) FROM( SELECT TOP 10000 id = ROW_NUMBER() OVER( ORDER BY GETDATE() ) FROM sys.all_columns a, sys.all_columns )ID -- 将 100 - 10000 的数据变成相同值UPDATE _t SET c = '' WHERE c >= '10100'
Then use the varhcar and nvarchar values to test the estimated number of rows in the execution plan that satisfy 1 condition and 8900 conditions respectively.
ALTER INDEX IX_c ON _t REBUILD;GOSET SHOWPLAN_ALL ONGOSELECT * FROM _t WHERE c = '10005'; -- 实际1条GOSET SHOWPLAN_ALL OFF;GOALTER INDEX IX_c ON _t REBUILD;GOSET SHOWPLAN_ALL ONGOSELECT * FROM _t WHERE c = N'10005'; -- 实际1条GOSET SHOWPLAN_ALL OFF;GOALTER INDEX IX_c ON _t REBUILD;GOSET SHOWPLAN_ALL ONGOSELECT * FROM _t WHERE c = ''; -- 实际9900条GOSET SHOWPLAN_ALL OFF;GOALTER INDEX IX_c ON _t REBUILD;GOSET SHOWPLAN_ALL ONGOSELECT * FROM _t WHERE c = N''; -- 实际9900条GOSET SHOWPLAN_ALL OFF;GO
The estimated number of rows in the obtained query plan is shown in the figure below
It can be seen from the estimated number of data rows displayed in the figure , for varchar values (no hidden data type conversion required), the estimated results are accurate. But for the nvarchar value, no matter whether the specified value has only one piece of data or 8900 data matching, the estimated result is 99.0099, which shows that the estimate does not take into account the value we specified.
Further testing with variables
ALTER INDEX IX_c ON _t REBUILD;GOSET SHOWPLAN_ALL ONGODECLARE @v varchar;SELECT * FROM _t WHERE c = @v; -- varcharGOSET SHOWPLAN_ALL OFF;GOALTER INDEX IX_c ON _t REBUILD;GOSET SHOWPLAN_ALL ONGODECLARE @nv nvarchar;SELECT * FROM _t WHERE c = @nv; -- nvarcharGOSET SHOWPLAN_ALL OFF;GO
The results are as shown below:
Whether it is a varchar or nvarchar variable, the estimated number of rows is It is 99.0099. This value is the same as the result of using nvarchar constant value. It seems that the SQL Server query optimizer should indeed treat the result of GetRangeThroughConvert as a variable. This should be a poorly considered design consideration. After all, a fixed constant value is specified. When , the result of GetRangeThroughConvert should also be a certain value.
This article explains the relevant content of SQL Server. For more related content, please pay attention to the php Chinese website.
Related recommendations:
How to implement infinite-level parent-child relationship query in a single sentence in MySQL
SQL Server FileStream with progress How to access
What to do if you forget your SQL Server administrator password
The above is the detailed content of SQL Server 2008 Enhancements to Handling Implicit Data Type Conversions in Execution Plans. For more information, please follow other related articles on the PHP Chinese website!

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment