REPLACE(original_string, search_string, replacement_string) 
or 
SELECT REPLACE('Hello, World!', 'World', 'Universe'); -- Returns 'Hello, Universe!' 

SELECT CEIL(5.2); -- Returns 6 
SELECT CEIL(-3.8); -- Returns -3 
SELECT CEIL(10); -- Returns 10 (no change as it's already an integer)

SELECT FLOOR(5.7); -- Returns 5 
SELECT FLOOR(-3.2); -- Returns -4 
SELECT FLOOR(10); -- Returns 10 (no change as it's already an integer)

SELECT 
 employee_name, 
 salary, 
 CASE 
 WHEN salary < 30000 THEN 'Low Income' 
 WHEN salary >= 30000 AND salary < 60000 THEN 'Medium Income' 
 WHEN salary >= 60000 THEN 'High Income' 
 ELSE 'Unknown' 
 END AS income_category 
FROM 
 employees;

async function* fetchUsers() { 
 let page = 1; 
 const perPage = 10; // Number of users per page

 while (true) { 
  const response = await fetch(`https://api.example.com/users?page=${page}&per_page=${perPage}`); 
  const users = await response.json();

  if (users.length === 0) { 
    // No more users to fetch 
    break; 
  }

  for (const user of users) { 
    yield user; 
  }

  page++; 
 } 
}

// Usage: 
const userGenerator = fetchUsers();(async () => { 
 for await (const user of userGenerator) { 
 console.log(`User: ${user.name}, Email: ${user.email}`); 
 } 
})();

{ 
 "range": { 
   "price": { 
     "gte": 20, 
     "lte": 50 
   } 
 } 
} 

{ 
 "range": { 
   "event_date": { 
     "gte": "2023-01-01", 
     "lte": "2023-12-31" 
   } 
 } 
}

SELECT regexp_match(column_name, 'your_regex_pattern') AS matched_text 
FROM table_name; 

SELECT MIN(column_name) FROM table_name; 

SELECT MAX(column_name) FROM table_name; 

SELECT order_id, string_agg(product_name, ', ') AS products 
FROM order_details 
GROUP BY order_id; 

-- Example: Match strings that end with '-dev' 
SELECT * 
FROM your_table 
WHERE your_column LIKE '%-dev';

UPPER(string) 

LOWER(string) 

-- Create a view named "customer_orders" to show orders for a specific customer 
CREATE VIEW customer_orders AS 
SELECT order_id, order_date 
FROM orders 
WHERE customer_id = '12345';

SUBSTRING(string FROM start_position [FOR length])

SELECT column1, column2, ... 
FROM table_name 
WHERE column_name IN (value1, value2, ...);