


How to Detect File Changes on an NTFS Volume
In the quest for an efficient file backup solution, a developer encounters a challenge in detecting file changes on an NTFS volume without relying on time-consuming methods. This article delves into a solution using FSCTL_ENUM_USN_DATA, providing insights into file change detection and path retrieval.
FSCTL_ENUM_USN_DATA for File Change Detection
FSCTL_ENUM_USN_DATA offers a rapid way to enumerate all files on a volume, returning file flags and USNs for easy change detection. However, accessing full file paths requires some additional work.
Matching Parent IDs for Path Retrieval
One approach to retrieving full paths is to match parent IDs with the file IDs of directories. This can be achieved by searching through all file records simultaneously or by reading records for parent directories as needed.
Code Demonstration
The provided C code illustrates how to use FSCTL_ENUM_USN_DATA to search for specific files and display information about them and their parent directories. The code allocates a buffer for record storage, opens the volume, obtains journal data, and iterates through records, filtering for files of interest and displaying details.
The above is the detailed content of Here are several question-based titles that fit your article, focusing on the core problem and solution: Direct & Concise: * How Can FSCTL_ENUM_USN_DATA Be Used to Detect NTFS File Changes Effic. For more information, please follow other related articles on the PHP Chinese website!

XML is used in C because it provides a convenient way to structure data, especially in configuration files, data storage and network communications. 1) Select the appropriate library, such as TinyXML, pugixml, RapidXML, and decide according to project needs. 2) Understand two ways of XML parsing and generation: DOM is suitable for frequent access and modification, and SAX is suitable for large files or streaming data. 3) When optimizing performance, TinyXML is suitable for small files, pugixml performs well in memory and speed, and RapidXML is excellent in processing large files.

The main differences between C# and C are memory management, polymorphism implementation and performance optimization. 1) C# uses a garbage collector to automatically manage memory, while C needs to be managed manually. 2) C# realizes polymorphism through interfaces and virtual methods, and C uses virtual functions and pure virtual functions. 3) The performance optimization of C# depends on structure and parallel programming, while C is implemented through inline functions and multithreading.

The DOM and SAX methods can be used to parse XML data in C. 1) DOM parsing loads XML into memory, suitable for small files, but may take up a lot of memory. 2) SAX parsing is event-driven and is suitable for large files, but cannot be accessed randomly. Choosing the right method and optimizing the code can improve efficiency.

C is widely used in the fields of game development, embedded systems, financial transactions and scientific computing, due to its high performance and flexibility. 1) In game development, C is used for efficient graphics rendering and real-time computing. 2) In embedded systems, C's memory management and hardware control capabilities make it the first choice. 3) In the field of financial transactions, C's high performance meets the needs of real-time computing. 4) In scientific computing, C's efficient algorithm implementation and data processing capabilities are fully reflected.

C is not dead, but has flourished in many key areas: 1) game development, 2) system programming, 3) high-performance computing, 4) browsers and network applications, C is still the mainstream choice, showing its strong vitality and application scenarios.

The main differences between C# and C are syntax, memory management and performance: 1) C# syntax is modern, supports lambda and LINQ, and C retains C features and supports templates. 2) C# automatically manages memory, C needs to be managed manually. 3) C performance is better than C#, but C# performance is also being optimized.

You can use the TinyXML, Pugixml, or libxml2 libraries to process XML data in C. 1) Parse XML files: Use DOM or SAX methods, DOM is suitable for small files, and SAX is suitable for large files. 2) Generate XML file: convert the data structure into XML format and write to the file. Through these steps, XML data can be effectively managed and manipulated.

Working with XML data structures in C can use the TinyXML or pugixml library. 1) Use the pugixml library to parse and generate XML files. 2) Handle complex nested XML elements, such as book information. 3) Optimize XML processing code, and it is recommended to use efficient libraries and streaming parsing. Through these steps, XML data can be processed efficiently.


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