DSL dsl2022

David J Liang

Contact

Philadelphia, PA 19102
(601) 594-4973
[email protected]
LinkedIn
GitHub

Project: Distributed Real-Time Data Processing System

Overview

Develop a distributed, real-time data processing system in Go that ingests large volumes of data from multiple sources, processes the data concurrently, and provides real-time analytics and alerts based on the processed data. This system should be capable of horizontal scaling, fault tolerance, and handling backpressure gracefully. You can plan your own data format, the goal is to demonstrate that you understand the challenge and solve the problem with GO.

Core Components

Data Ingestion Service: Build a high-throughput ingestion service that can accept data from various sources (e.g., HTTP endpoints, WebSocket connections, and TCP sockets) and queue it for processing. This service must be able to handle bursts of data efficiently without data loss.

If you've installed PostgreSQL within WSL (Windows Subsystem for Linux) and you're trying to connect to it from pgAdmin running on your Windows environment, you'll need to take some additional steps to establish the connection. Here's how you can go about it:

1. Check PostgreSQL Service in WSL

First, make sure PostgreSQL is running within your WSL environment. You can check the service status with:

sudo systemctl status postgresql

In a React component, you can use as many useEffect hooks as you need. There is no strict limit imposed by React itself on the number of useEffect hooks you can use in a single component. You can use multiple useEffect hooks to manage different side effects within your component.

However, keep in mind that using a large number of useEffect hooks can make your component's code harder to read and understand. It's a good practice to organize your code and group related useEffect hooks together for better maintainability.

Additionally, consider the order of execution of the useEffect hooks. They will run in the order they appear in your component's code. If some useEffect hooks depend on the effects of others, you might need to manage their dependencies carefully to avoid unexpected behavior.

Overall, while there is no hard limit on the number of useEffect hooks you can use, it's important to strike a balance between using multiple hooks for specific purposes and keeping your codebase clean and

	Crypto Sentiment & Trend Analyzer Bot

	Concept: An agent that scans Twitter, Telegram, and other social media platforms for crypto-related keywords and sentiment. It aggregates data to provide real-time insights or even trigger actions (e.g., alerts or trades) based on market sentiment.
	Features:
	Natural language processing for sentiment analysis
	Real-time social media data aggregation
	Dashboard or API for external integrations

	Meme Coin Engagement Bot
	Concept: Create an agent that automatically monitors meme coin trends on Twitter and Telegram, generates engaging posts (using predefined templates or AI-generated content), and interacts with the community to boost project visibility.

	import { addTodo,filteredTodos,setFilter,toggleTodo} from './signalStore/todos'
	import NavBar from './NavBar';
	import Input from './Input';
	import DisplayList from './DisplayList';
	import ButtonsGroup from './ButtonsGroup';
	function App() {
	return (
	<>
	<div className="flex flex-col align items-center h-3/5" >
	<NavBar filteredTodos={filteredTodos}/>

	// string
	const food = "cake";
	let food2 = "fish";
	console.log({food,food2});
	// mutable vs immutable
	food2 = "fruit";
	console.log({food,food2});
	// concatenate
	console.log({foodCombined:food+food2})
	// number (integer, float, long double)

	-- Challenge 1: Count of Users
	-- Prompt: Retrieve the total number of users in the "Users" table.
	SELECT COUNT(*) AS total_users FROM Users;

	-- Challenge 2: Average Income
	-- Prompt: Calculate the average income of users in the "Profiles" table.
	SELECT AVG(income) AS average_income FROM Profiles;

	-- Challenge 3: Married Users
	-- Prompt: Retrieve the first names of all married users from the "Users" table.

	-- Create the Users table
	CREATE TABLE Users(
	id INTEGER,
	email VARCHAR(50),
	first_name VARCHAR(20),
	last_name VARCHAR(20),
	PRIMARY KEY (id)
	);

	-- Insert 20 random rows into Users table

	const items = [
	{
	title: "Vintage Bicycle",
	description: "A well-preserved vintage bicycle from the 1970s. In excellent condition.",
	price: "$250",
	seller: "John Doe",
	location: "New York, NY"
	},
	{
	title: "Antique Desk Lamp",