search
HomeDatabaseSQLHow to recover accidentally deleted database data

Method to recover accidentally deleted database data: First run Recovery for SQL Server and select the recovered data in recovery; then select Custom and select the [search..] option; then select the target folder and click Start; finally select the target database.

How to recover accidentally deleted database data

Methods to recover accidentally deleted database data:

1. Run Recovery for SQL Server

How to recover accidentally deleted database data

Related learning recommendations: SQL video tutorial

2. Click File > Recover in the menu and select the file you want to restore Database data file (.mdf)

How to recover accidentally deleted database data

##3. Next > Next, enter the Recovery Configuration interface and select Custom (you can choose to recover accidental deletions from the log only after selecting Custom The data).

How to recover accidentally deleted database data

4. Next Enter the Recovery options window, select Search for deleted records, and select the log file path of the database to be recovered.

How to recover accidentally deleted database data

5. Next and select the destination folder to store the SQL statements and bat files generated during the recovery process.

How to recover accidentally deleted database data

6. Click Start to start the recovery operation (generate the corresponding SQL file and Bat file in the target folder selected in the previous step), and then SQL Server Database Creation appears. Utility window.

How to recover accidentally deleted database data

#7. Next, select the target database where the recovered data is stored.

How to recover accidentally deleted database data

8. Next, select Import available data from both database and log files

How to recover accidentally deleted database data

9. Next, Next, Then the data recovery is completed!

How to recover accidentally deleted database data

Related recommendations:

Programming Video Course

The above is the detailed content of How to recover accidentally deleted database data. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
SQL vs. MySQL: Clarifying the Relationship Between the TwoSQL vs. MySQL: Clarifying the Relationship Between the TwoApr 24, 2025 am 12:02 AM

SQL is a standard language for managing relational databases, while MySQL is a database management system that uses SQL. SQL defines ways to interact with a database, including CRUD operations, while MySQL implements the SQL standard and provides additional features such as stored procedures and triggers.

The Importance of SQL: Data Management in the Digital AgeThe Importance of SQL: Data Management in the Digital AgeApr 23, 2025 am 12:01 AM

SQL's role in data management is to efficiently process and analyze data through query, insert, update and delete operations. 1.SQL is a declarative language that allows users to talk to databases in a structured way. 2. Usage examples include basic SELECT queries and advanced JOIN operations. 3. Common errors such as forgetting the WHERE clause or misusing JOIN, you can debug through the EXPLAIN command. 4. Performance optimization involves the use of indexes and following best practices such as code readability and maintainability.

Getting Started with SQL: Essential Concepts and SkillsGetting Started with SQL: Essential Concepts and SkillsApr 22, 2025 am 12:01 AM

SQL is a language used to manage and operate relational databases. 1. Create a table: Use CREATETABLE statements, such as CREATETABLEusers(idINTPRIMARYKEY, nameVARCHAR(100), emailVARCHAR(100)); 2. Insert, update, and delete data: Use INSERTINTO, UPDATE, DELETE statements, such as INSERTINTOusers(id, name, email)VALUES(1,'JohnDoe','john@example.com'); 3. Query data: Use SELECT statements, such as SELEC

SQL: The Language, MySQL: The Database Management SystemSQL: The Language, MySQL: The Database Management SystemApr 21, 2025 am 12:05 AM

The relationship between SQL and MySQL is: SQL is a language used to manage and operate databases, while MySQL is a database management system that supports SQL. 1.SQL allows CRUD operations and advanced queries of data. 2.MySQL provides indexing, transactions and locking mechanisms to improve performance and security. 3. Optimizing MySQL performance requires attention to query optimization, database design and monitoring and maintenance.

What SQL Does: Managing and Manipulating DataWhat SQL Does: Managing and Manipulating DataApr 20, 2025 am 12:02 AM

SQL is used for database management and data operations, and its core functions include CRUD operations, complex queries and optimization strategies. 1) CRUD operation: Use INSERTINTO to create data, SELECT reads data, UPDATE updates data, and DELETE deletes data. 2) Complex query: Process complex data through GROUPBY and HAVING clauses. 3) Optimization strategy: Use indexes, avoid full table scanning, optimize JOIN operations and paging queries to improve performance.

SQL: A Beginner-Friendly Approach to Data Management?SQL: A Beginner-Friendly Approach to Data Management?Apr 19, 2025 am 12:12 AM

SQL is suitable for beginners because it is simple in syntax, powerful in function, and widely used in database systems. 1.SQL is used to manage relational databases and organize data through tables. 2. Basic operations include creating, inserting, querying, updating and deleting data. 3. Advanced usage such as JOIN, subquery and window functions enhance data analysis capabilities. 4. Common errors include syntax, logic and performance issues, which can be solved through inspection and optimization. 5. Performance optimization suggestions include using indexes, avoiding SELECT*, using EXPLAIN to analyze queries, normalizing databases, and improving code readability.

SQL in Action: Real-World Examples and Use CasesSQL in Action: Real-World Examples and Use CasesApr 18, 2025 am 12:13 AM

In practical applications, SQL is mainly used for data query and analysis, data integration and reporting, data cleaning and preprocessing, advanced usage and optimization, as well as handling complex queries and avoiding common errors. 1) Data query and analysis can be used to find the most sales product; 2) Data integration and reporting generate customer purchase reports through JOIN operations; 3) Data cleaning and preprocessing can delete abnormal age records; 4) Advanced usage and optimization include using window functions and creating indexes; 5) CTE and JOIN can be used to handle complex queries to avoid common errors such as SQL injection.

SQL and MySQL: Understanding the Core DifferencesSQL and MySQL: Understanding the Core DifferencesApr 17, 2025 am 12:03 AM

SQL is a standard language for managing relational databases, while MySQL is a specific database management system. SQL provides a unified syntax and is suitable for a variety of databases; MySQL is lightweight and open source, with stable performance but has bottlenecks in big data processing.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),