1. The Origin of .NETCore When talking about .NETCore, we must not mention its predecessor .NET. Java was in the limelight at that time, and Microsoft also favored Java. The Java virtual machine on the Windows platform was developed by Microsoft based on JVM standards. It is said to be the best performance Java virtual machine at that time. However, Microsoft has its own little abacus, trying to bundle Java with the Windows platform and add some Windows-specific features. Sun's dissatisfaction with this led to a breakdown of the relationship between the two parties, and Microsoft then launched .NET. .NET has borrowed many features of Java since its inception and gradually surpassed Java in language features and form development. Java in version 1.6

ABI compatibility in C refers to whether binary code generated by different compilers or versions can be compatible without recompilation. 1. Function calling conventions, 2. Name modification, 3. Virtual function table layout, 4. Structure and class layout are the main aspects involved.

Multithreading in the language can greatly improve program efficiency. There are four main ways to implement multithreading in C language: Create independent processes: Create multiple independently running processes, each process has its own memory space. Pseudo-multithreading: Create multiple execution streams in a process that share the same memory space and execute alternately. Multi-threaded library: Use multi-threaded libraries such as pthreads to create and manage threads, providing rich thread operation functions. Coroutine: A lightweight multi-threaded implementation that divides tasks into small subtasks and executes them in turn.

Using the chrono library in C can allow you to control time and time intervals more accurately. Let's explore the charm of this library. C's chrono library is part of the standard library, which provides a modern way to deal with time and time intervals. For programmers who have suffered from time.h and ctime, chrono is undoubtedly a boon. It not only improves the readability and maintainability of the code, but also provides higher accuracy and flexibility. Let's start with the basics. The chrono library mainly includes the following key components: std::chrono::system_clock: represents the system clock, used to obtain the current time. std::chron

std::unique removes adjacent duplicate elements in the container and moves them to the end, returning an iterator pointing to the first duplicate element. std::distance calculates the distance between two iterators, that is, the number of elements they point to. These two functions are useful for optimizing code and improving efficiency, but there are also some pitfalls to be paid attention to, such as: std::unique only deals with adjacent duplicate elements. std::distance is less efficient when dealing with non-random access iterators. By mastering these features and best practices, you can fully utilize the power of these two functions.

There is no function named "sum" in the C language standard library. "sum" is usually defined by programmers or provided in specific libraries, and its functionality depends on the specific implementation. Common scenarios are summing for arrays, and can also be used in other data structures, such as linked lists. In addition, "sum" is also used in fields such as image processing and statistical analysis. An excellent "sum" function should have good readability, robustness and efficiency.

The C language function library is a toolbox containing various functions, which are organized in different library files. Adding a library requires specifying it through the compiler's command line options, for example, the GCC compiler uses the -l option followed by the abbreviation of the library name. If the library file is not under the default search path, you need to use the -L option to specify the library file path. Library can be divided into static libraries and dynamic libraries. Static libraries are directly linked to the program at compile time, while dynamic libraries are loaded at runtime.

Detailed explanation of PostgreSQL database resource monitoring scheme under CentOS system This article introduces a variety of methods to monitor PostgreSQL database resources on CentOS system, helping you to discover and solve potential performance problems in a timely manner. 1. Use PostgreSQL built-in tools and views PostgreSQL comes with rich tools and views, which can be directly used for performance and status monitoring: pg_stat_activity: View the currently active connection and query information. pg_stat_statements: Collect SQL statement statistics and analyze query performance bottlenecks. pg_stat_database: provides database-level statistics, such as transaction count, cache hit