Front-End Challenge Accepted: CSS 3D Cube
SQL Server Profiler is a graphical tool provided by Microsoft SQL Server for monitoring and analyzing the activity and performance of SQL Server databases. It allows database administrators, developers, and analysts to capture and view events and interactions with an SQL Server instance, such as SQL statements, stored procedures, and system events. SQL Server Profiler is a valuable tool for diagnosing performance issues, troubleshooting problems, and auditing database activity.
Here are some examples of how SQL Server Profiler can be used:
➡ Performance Tuning: SQL Server Profiler is often used to identify performance bottlenecks in database applications.
➡ Query Analysis: Profiler can help you analyze the behavior of specific queries, including the number of times they are executed, the execution plan used, and the resources consumed. This is essential for query optimization.
➡ Deadlock Detection: Profiler can capture information about deadlocks, which occur when multiple processes are waiting for resources that are held by each other. By analyzing deadlock events, you can understand the causes and take steps to prevent them.
➡ Security Auditing: You can use Profiler to track and audit database activity to ensure compliance with security and auditing requirements. For example, you can capture logins, logouts, and permission changes.
➡ Monitoring Long-Running Transactions: Profiler allows you to monitor and analyze long-running transactions. This is useful for identifying and dealing with transactions that are taking longer to complete than expected.
➡ Data Change Tracking: Profiler can capture events related to data changes, including inserts, updates, and deletes. This is useful for tracking changes to specific tables or rows.
➡ Resource Usage Analysis: Profiler can capture information about resource usage, such as CPU, memory, and I/O, which is helpful for diagnosing performance issues
➡ Troubleshooting Application Issues: When an application is experiencing issues related to database interactions, Profiler can capture the SQL statements and other events related to the problem, helping you identify the root cause.
Here’s how you typically use SQL Server Profiler:
➡ Launch Profiler: Open SQL Server Profiler from (SSMS) or as a standalone application.
➡ Create a New Trace: Start a new trace by specifying the events and data columns you want to capture. You can choose from a wide range of predefined templates or create custom traces.
➡ Analyze Data: Once data is captured, you can analyze it in real-time or save it to a trace file for offline analysis.
➡ Identify Issues: Use the collected data to identify performance issues, bottlenecks, security violations, or other problems.
➡ Optimize and Troubleshoot: Based on your analysis, you can optimize queries, address security concerns, or troubleshoot issues in your SQL Server environment.
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Redis Cache in asp.net Core
✅ Redis is an open-source, in-memory data structure store used as a database, cache, and message broker. It is commonly used in ASP.NET Core applications for caching data to improve performance.
To use Redis as a cache in an ASP.NET Core application, you'll need to follow these steps:
✅ Install the Redis NuGet Package:
First, install the StackExchange.Redis NuGet package, which is a popular Redis client for .NET.
dotnet add package StackExchange.Redis
✅ Configure Redis Connection:
In your Startup.cs file, configure the Redis connection in the ConfigureServices method:
services.AddStackExchangeRedisCache(options =>
{
options.Configuration = "localhost:6379"; // Replace with your Redis server and port
options.InstanceName = "SampleInstance"; // Replace with a suitable instance name
});
✅ Using Redis Cache in a Controller:
You can now use the Redis cache in your controller by injecting IDistributedCache and using it to cache and retrieve data.
public class SampleController : Controller
{
private readonly IDistributedCache _cache;public SampleController(IDistributedCache cache)
{
_cache = cache;
}public IActionResult Index()
{
// Set cache entry
string cacheKey = "sampleData";
string cachedData = _cache.GetString(cacheKey);if (cachedData != null)
{
// Data found in cache, use it
return Ok($"Cached Data: {cachedData}");
}
else
{
// Data not found in cache, fetch from the source (e.g., database)
var data = GetDataFromSource();
cachedData = JsonConvert.SerializeObject(data);// Set the data in the cache with a specific expiration time (e.g., 5 minutes)
var cacheEntryOptions = new DistributedCacheEntryOptions
{
AbsoluteExpirationRelativeToNow = TimeSpan.FromMinutes(5)
};
_cache.SetString(cacheKey, cachedData, cacheEntryOptions);return Ok($"Data from source: {cachedData}");
}
}private List<string> GetDataFromSource()
{
// Simulate fetching data from a database or another source
return new List<string> { "Data1", "Data2", "Data3" };
}
}
In this example, we first configure the Redis cache in the Startup.cs file using AddStackExchangeRedisCache. We then use the IDistributedCache interface to cache and retrieve data in the controller. If the data is found in the cache, it is returned; otherwise, it is fetched from the source, serialized, and stored in the cache for future requests.
✅ Make sure you have a running Redis server and adjust the connection configuration accordingly in ConfigureServices. Also, customize the caching logic based on your specific requirements and data retrieval strategies.
Firebase with asp.net Core
Firebase is a platform developed by Google that provides a variety of services, including real-time databases, authentication, cloud messaging, and more. To use Firebase with an ASP.NET Core application, you'll typically interact with Firebase services through its REST API using HttpClient or libraries that facilitate integration.
Here's a general outline of how you can use Firebase services (e.g., Firebase Authentication, Firebase Realtime Database) with an ASP.NET Core application:
✅ Firebase Setup:
Go to the Firebase Console
https://console.firebase.google.com/?pli=1
and create a Firebase project.
Configure the Firebase services you want to use (e.g., Firebase Authentication, Firebase Realtime Database).
Obtain the necessary credentials (e.g., API keys, service account credentials) for accessing Firebase services.
✅ Firebase Authentication:
To use Firebase Authentication with your ASP.NET Core application, you'll interact with Firebase Authentication using its REST API. You'll make HTTP requests to authenticate users, create accounts, etc. You'll need to use the HttpClient in your ASP.NET Core application to send requests to the Firebase Authentication REST API.
✅ Firebase Realtime Database:
To use Firebase Realtime Database with your ASP.NET Core application, you'll again interact with Firebase using its REST API. This involves sending HTTP requests to read and write data to the Firebase Realtime Database.
Here's a basic example of using HttpClient to interact with Firebase Authentication and Firebase Realtime Database in an ASP.NET Core application:
using System;
using System.Net.Http;
using System.Threading.Tasks;
public class FirebaseService
{
private readonly HttpClient _httpClient;
public FirebaseService(HttpClient httpClient)
{
_httpClient = httpClient;
}
public async Task<string> AuthenticateUserAsync(string email, string password)
{
string apiUrl = "https://identitytoolkit.googleapis.com/v1/accounts:signInWithPassword?key=YOUR_API_KEY";
var request = new
{
email,
password,
returnSecureToken = true
};
var response = await _httpClient.PostAsJsonAsync(apiUrl, request);
if (!response.IsSuccessStatusCode)
{
throw new Exception("Authentication failed.");
}
var responseBody = await response.Content.ReadAsAsync<AuthenticationResponse>();
return responseBody.IdToken;
}
public async Task<string> GetDataFromRealtimeDatabaseAsync(string idToken)
{
string apiUrl = $"https://YOUR_PROJECT_NAME.firebaseio.com/YOUR_DB_PATH.json?auth={idToken}";
var response = await _httpClient.GetAsync(apiUrl);
if (!response.IsSuccessStatusCode)
{
throw new Exception("Failed to fetch data from the database.");
}
var data = await response.Content.ReadAsStringAsync();
return data;
}
}
public class AuthenticationResponse
{
public string IdToken { get; set; }
}
Make sure to replace "YOUR_API_KEY", "YOUR_DB_PATH", and "YOUR_PROJECT_NAME" with your actual Firebase API key, Realtime Database path, and Firebase project name.
Remember to register the HttpClient and FirebaseService in the ASP.NET Core Startup.cs file. Also, configure the HttpClient with the necessary base address and other settings if needed.
Installing SQL Server on Azure
- Download DOCKER DESKTOP
Download Docker desktop from https://www.docker.com/products/docker-desktop/
2. DOCKERHUB.COM
Register/login at Dockerhub.com. We will sql server download image from here.
3. SEARCH IMAGE
Search Azure SQL Edge Image from docker hub and install on local machine
open the terminal and type
docker pull mcr.microsoft.com/azure-sql-edge
It will pull docker image on your machine
then type this command on termainal
docker run -e “ACCEPT_EULA=1” -e “MSSQL_SA_PASSWORD=Pass@word123” -e “MSSQL_PID=Developer” -e “MSSQL_USER=SA” -p 1433:1433 -d –name=mssql mcr.microsoft.com/azure-sql-edge
“ACCEPT_EULA=1” accept user agreement
MSSQL_SA_PASSWORD set strong password for sql server
MSSQL_PID=Developer sql server developer edition will be installed.
MSSQL_USER=SA. User name is sa for sql server
-p 1433:1433 port 1433 will be assigned
D detach mode means terminal will be free to use.
–name name of container
mcr.microsoft.com/azure-sql-edge docker hub repository name
4. AZURE DATA STUDIO
Download Azure Data Studio for MAC Apple silicon
connect with the server using the credentials specified while running the container.
Here is the video explanation
In SQL Server, a trigger is a special type of stored procedure that is automatically executed in response to a specific event, such as an INSERT, UPDATE, or DELETE operation on a table. Triggers are used to enforce business rules, maintain data integrity, and automate certain tasks when changes are made to the data in a table. SQL Server supports two main types of triggers:
➡ DML Triggers (Data Modification Language Triggers):
➡ DML triggers are fired in response to data modification operations, such as INSERT, UPDATE, or DELETE operations on a table. There are two types of DML triggers:
➡ AFTER Trigger (FOR/AFTER INSERT, UPDATE, DELETE): These triggers are executed after the data modification operation is completed. They are often used for auditing or logging changes.
➡ INSTEAD OF Trigger (INSTEAD OF INSERT, UPDATE, DELETE): These triggers replace the original data modification operation. They are often used for handling complex data validation or data transformation.
Here’s an example of a simple AFTER INSERT trigger:
CREATE TRIGGER trgAfterInsert
ON YourTable
AFTER INSERT
AS
BEGIN
— Trigger logic here
END;
➡ DDL Triggers (Data Definition Language Triggers):
➡ DDL triggers are fired in response to data definition language operations, such as CREATE, ALTER, or DROP statements. They are used to monitor and control changes to the database schema and server-level events.
Here’s an example of a DDL trigger:
CREATE TRIGGER ddlTrigger
ON DATABASE
FOR CREATE_TABLE
AS
BEGIN
— Trigger logic here
END;
➡ Triggers can be used to perform various tasks, such as:
Enforcing referential integrity by checking and blocking invalid data modifications.
➡ Logging changes to a table for auditing purposes.
➡ Automatically updating related records in other tables.
Restricting certain data modification operations based on business rules.
Handling complex data transformation or validation before saving data to the database.
➡ It’s important to be cautious when using triggers because they can introduce complexity to the database schema and may impact performance if not used carefully. Make sure that triggers are well-documented and thoroughly tested to ensure they function correctly and efficiently in your database environment.