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Profiling CPU Usage in Go: Boosting Performance

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Profiling CPU Usage in Go Programs Profiling CPU usage in Go allows you to measure the time your program spends executing various functions and code paths. This insight is invaluable for optimizing your code. Go provides built-in tools to help you with this. To get started with CPU profiling, you'll need to: Import the net/http/pprof Package : This package exposes the profiling functionality via HTTP endpoints. Include it in your code like this: import _ "net/http/pprof" Start an HTTP Server : You'll want to start an HTTP server that serves profiling data. go func() { log.Println(http.ListenAndServe("localhost:6060", nil)) }() Instrument Your Code : Use the runtime/pprof package to start and stop CPU profiling within your application: import ( "net/http" _ "net/http/pprof" "os" "runtime/pprof" ) func main() { go func() { log.Println(http.Lis...
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GO lang to print colored output

package main import ( "fmt" ) func Red(format string, args ...interface{}) { fmt.Printf("\033[31m"+format+"\033[0m", args...) } func Green(format string, args ...interface{}) { fmt.Printf("\033[32m"+format+"\033[0m", args...) } func Yellow(format string, args ...interface{}) { fmt.Printf("\033[33m"+format+"\033[0m", args...) } func Blue(format string, args ...interface{}) { fmt.Printf("\033[34m"+format+"\033[0m", args...) } func Magenta(format string, args ...interface{}) { fmt.Printf("\033[35m"+format+"\033[0m", args...) } func Cyan(format string, args ...interface{}) { fmt.Printf("\033[36m"+format+"\033[0m", args...) } func main() { // Set the foreground color to red Red("Hello, world!\n") Yellow("Hello, world!\n") Green("Hello, world!\n") Magenta("Hello, world!\n") Cyan("Hello, world!\...
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Installing golang compiler in linux machine

Download the Go 1.12.1 binary archive suitable for your operating system from the official Go website ( https://golang.org/dl/ ). wget https://dl.google.com/go/go1.12.1.linux-amd64.tar.gz Extract the downloaded archive to the /usr/local directory: sudo tar -C /usr/local -xzf go1.12.1.linux-amd64.tar.gz Add the Go binary directory to your system’s PATH environment variable by editing your shell profile file (e.g. ~/.bashrc or ~/.zshrc) and adding the following lines: export PATH=$PATH:/usr/local/go/bin Reload your shell profile to apply the changes: source ~/.bashrc go version output: go version go1.12.1 linux/amd64 lets print HelloWorld! from go package main import "fmt" func main() { fmt.Printf("HelloWorld!") } Output: HelloWorld! < Blog Archive Archive of all previous blog posts > Blog Archive Archive of all previous blog posts
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Database Access in Go: A Comprehensive Guide I. Introduction In today's fast-paced digital era, databases play a pivotal role in powering modern applications. Whether it's an e-commerce website managing thousands of products, a social media platform handling millions of user profiles, or a financial institution processing vast amounts of transaction data, efficient database access is essential for the smooth operation of these applications. This blog post aims to shed light on database access in Go, a programming language that has gained immense popularity in recent years for backend development. We will explore the fundamentals of using SQL (Structured Query Language) in Go to interact with relational databases effectively. By the end of this guide, you'll have a solid understanding of how to harness the power of Go to build robust database-driven applications. II. The Significance of Databases in Modern Applications Before diving into the ...
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Boosting Golang Application Performance with Object Caching

In the world of Golang application development, optimizing database interactions is crucial for delivering a responsive and efficient user experience. One effective technique to enhance performance is Object Caching . In this blog post, we'll delve into object caching strategies, focusing on caching frequently used objects or entities retrieved from the database. We'll explore how Golang's sync.Map can be a valuable tool for in-memory caching and provide practical examples to demonstrate its power. The Power of Object Caching Consider a typical Golang application that frequently fetches data from a database, such as user profiles, product details, or configuration settings. Without caching, every request to retrieve the same data results in a database query. This can be resource-intensive and lead to slower response times, especially as user traffic grows. Object caching involves storing frequently used objects or entities in memory, enabling rapid access to this data w...
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Boosting Golang Application Performance with Query Result Caching

In the realm of Golang application development, optimizing database queries is a critical aspect of ensuring smooth and efficient user experiences. One powerful technique to achieve this is Query Result Caching . In this blog post, we will delve into query result caching strategies, focusing on caching frequently executed queries in an in-memory cache (using Redis as an example). You'll learn how to reduce database load and improve response times, all while enhancing your Golang application's performance. The Power of Query Result Caching Consider a scenario where your Golang application frequently fetches data from a database. Without caching, every request to retrieve the same data results in a database query, even if the data hasn't changed since the last request. This can be resource-intensive and lead to slower response times. Query result caching is the practice of storing the results of frequently executed queries in an in-memory cache, such as Redis or Memcached....
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Enhancing Database Security and Performance with Parameterized Queries

In the world of database programming, security and performance are paramount concerns. One technique that addresses both of these concerns is the use of parameterized queries or prepared statements. In this blog post, we'll explore the significance of parameterized queries, their role in preventing SQL injection, and how they can potentially improve query execution speed. We'll provide practical examples to illustrate the power and versatility of this essential query optimization technique. The Importance of Parameterized Queries Parameterized queries , also known as prepared statements , are a mechanism in which placeholders are used for data values in SQL queries. These placeholders are later bound to actual data values when the query is executed. Parameterized queries offer several crucial advantages: Protection Against SQL Injection: One of the primary benefits of parameterized queries is their ability to prevent SQL injection attacks. By separating SQL cod...
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