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๐2
#๐ฆ๐ค๐ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ต๐ฒ๐ฎ๐๐๐ต๐ฒ๐ฒ๐ โ ๐๐ฟ๐ฎ๐ฐ๐ธ ๐๐ป๐ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ช๐ถ๐๐ต ๐ง๐ต๐ฒ๐๐ฒ ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐
โ ๐ญ. ๐ฆ๐ค๐ ๐๐ผ๐ถ๐ป๐ โ Combine data from multiple tables
๐ก INNER JOIN โ Returns matching records from both tables
๐ก LEFT JOIN โ Returns all records from the left table + matches from the right
๐ก RIGHT JOIN โ Returns all records from the right table + matches from the left
๐ก FULL JOIN โ Returns all records from both tables
โ ๐ฎ. ๐๐๐ง๐ ๐๐๐๐ง๐๐ฅ๐๐ก๐ โ Retrieve specific records efficiently
๐ก WHERE โ Filters rows before aggregation
๐ก HAVING โ Filters after aggregation
๐ก BETWEEN, IN, LIKE โ Advanced filtering
โ ๐ฏ. ๐๐๐๐ฅ๐๐๐๐ง๐๐ข๐ก & ๐๐ฅ๐ข๐จ๐ฃ๐๐ก๐ โ Summarize data
๐ก GROUP BY โ Groups data based on a column
๐ก COUNT, SUM, AVG, MIN, MAX โ Perform calculations
โ ๐ฐ. ๐ฆ๐จ๐๐ค๐จ๐๐ฅ๐๐๐ฆ & ๐๐ง๐๐ โ Break complex queries
๐ก Subquery โ Nested query inside another query
๐ก Common Table Expressions (CTE) โ Temporary named query
โ ๐ฑ. ๐๐ก๐๐๐ซ๐๐ก๐ & ๐ข๐ฃ๐ง๐๐ ๐๐ญ๐๐ง๐๐ข๐ก โ Speed up queries
๐ก Indexes โ Improve search speed
๐ก EXPLAIN PLAN โ Analyze query performance
โ ๐ฒ. ๐๐๐ฉ๐๐ก๐๐๐ ๐ฆ๐ค๐ ๐ง๐ข๐ฃ๐๐๐ฆ
๐ก Window Functions โ RANK, ROW_NUMBER, LEAD, LAG
๐ก Stored Procedures & Triggers โ Automate tasks
๐ก Normalization & Denormalization โ Optimize database design
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โ ๐ญ. ๐ฆ๐ค๐ ๐๐ผ๐ถ๐ป๐ โ Combine data from multiple tables
๐ก INNER JOIN โ Returns matching records from both tables
๐ก LEFT JOIN โ Returns all records from the left table + matches from the right
๐ก RIGHT JOIN โ Returns all records from the right table + matches from the left
๐ก FULL JOIN โ Returns all records from both tables
โ ๐ฎ. ๐๐๐ง๐ ๐๐๐๐ง๐๐ฅ๐๐ก๐ โ Retrieve specific records efficiently
๐ก WHERE โ Filters rows before aggregation
๐ก HAVING โ Filters after aggregation
๐ก BETWEEN, IN, LIKE โ Advanced filtering
โ ๐ฏ. ๐๐๐๐ฅ๐๐๐๐ง๐๐ข๐ก & ๐๐ฅ๐ข๐จ๐ฃ๐๐ก๐ โ Summarize data
๐ก GROUP BY โ Groups data based on a column
๐ก COUNT, SUM, AVG, MIN, MAX โ Perform calculations
โ ๐ฐ. ๐ฆ๐จ๐๐ค๐จ๐๐ฅ๐๐๐ฆ & ๐๐ง๐๐ โ Break complex queries
๐ก Subquery โ Nested query inside another query
๐ก Common Table Expressions (CTE) โ Temporary named query
โ ๐ฑ. ๐๐ก๐๐๐ซ๐๐ก๐ & ๐ข๐ฃ๐ง๐๐ ๐๐ญ๐๐ง๐๐ข๐ก โ Speed up queries
๐ก Indexes โ Improve search speed
๐ก EXPLAIN PLAN โ Analyze query performance
โ ๐ฒ. ๐๐๐ฉ๐๐ก๐๐๐ ๐ฆ๐ค๐ ๐ง๐ข๐ฃ๐๐๐ฆ
๐ก Window Functions โ RANK, ROW_NUMBER, LEAD, LAG
๐ก Stored Procedures & Triggers โ Automate tasks
๐ก Normalization & Denormalization โ Optimize database design
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Forwarded from ENG. Hussein Sheikho
ูุฑุตุฉ ุนู
ู ุนู ุจุนุฏ ๐งโ๐ป
ูุง ูุชุทูุจ ุงู ู ุคูู ุงู ุฎุจุฑู ุงูุดุฑูู ุชูุฏู ุชุฏุฑูุจ ูุงู ูโจ
ุณุงุนุงุช ุงูุนู ู ู ุฑููโฐ
ูุชู ุงูุชุณุฌูู ุซู ุงูุชูุงุตู ู ุนู ูุญุถูุฑ ููุงุก ุชุนุฑููู ุจุงูุนู ู ูุงูุดุฑูู
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ูุง ูุชุทูุจ ุงู ู ุคูู ุงู ุฎุจุฑู ุงูุดุฑูู ุชูุฏู ุชุฏุฑูุจ ูุงู ู
ุณุงุนุงุช ุงูุนู ู ู ุฑูู
ูุชู ุงูุชุณุฌูู ุซู ุงูุชูุงุตู ู ุนู ูุญุถูุฑ ููุงุก ุชุนุฑููู ุจุงูุนู ู ูุงูุดุฑูู
https://forms.gle/hqUZXu7u4uLjEDPv8
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ูุฑุตุฉ ุนู
ู
ุงูุนู
ู ู
ู ุงูู
ูุฒู ูู ุจุจุณุงุทุฉ ุญู ูู
ุดููุฉ ุงูุจุทุงูุฉ ููุดุจุงุจ ุงูุนุฑุจู ูููู ุงูุจุดุฑ ุญูู ุงูุนุงูู
ุ๐ ุงูู ุทุฑููู ูููุตูู ุงูู ุงูุญุฑูุฉ ุงูู
ุงููุฉ ูุจุนูุฏุงู ุนู ุดุบู ุงููุธููุฉ ุงูุญููู
ูุฉ ุงูู
ู
ูุฉ ูุงูู
ุฑุชุจุงุช ุงูุถุนููุฉ..
ุฃุตุจุญ ุงูุฑุจุญ ู ู ุงูุงูุชุฑูุช ุฃู ุฑ ุญูููู ูููุณ ููู ..๐ค
ููุฏู ูู ูุฑุตุฉ ุงูุขู ู ู ุบูุฑ ุฃู ุดูุงุฏุงุชโฆ
ุฃุตุจุญ ุงูุฑุจุญ ู ู ุงูุงูุชุฑูุช ุฃู ุฑ ุญูููู ูููุณ ููู ..๐ค
ููุฏู ูู ูุฑุตุฉ ุงูุขู ู ู ุบูุฑ ุฃู ุดูุงุฏุงุชโฆ
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๐ฆ๐ค๐ ๐๐ผ๐ถ๐ป๐ ๐๐ต๐ฒ๐ฎ๐๐๐ต๐ฒ๐ฒ๐ - ๐๐๐น๐น๐ ๐๐
๐ฝ๐น๐ฎ๐ถ๐ป๐ฒ๐ฑ
๐ช๐ต๐ ๐ท๐ผ๐ถ๐ป๐ ๐บ๐ฎ๐๐๐ฒ๐ฟ?
Joins let you combine data from multiple tables to extract meaningful insights.
Every serious data analyst or backend dev should master these.
Letโs break them down with clarity:
๐๐ก๐ก๐๐ฅ ๐๐ข๐๐ก
โ Returns only the rows with matching keys in both tables
โ Think of it as intersection
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
Customers who have placed at least one order
SELECT *
FROM Customers
INNER JOIN Orders
ON Customers.ID = Orders.CustomerID;
๐๐๐๐ง ๐๐ข๐๐ก (๐ข๐จ๐ง๐๐ฅ)
โ Returns all rows from the left table + matching rows from the right
โ If no match, right side = NULL
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
List all customers, even if theyโve never ordered
SELECT *
FROM Customers
LEFT JOIN Orders
ON Customers.ID = Orders.CustomerID;
๐ฅ๐๐๐๐ง ๐๐ข๐๐ก (๐ข๐จ๐ง๐๐ฅ)
โ Returns all rows from the right table + matching rows from the left
โ Rarely used, but similar logic
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
All orders, even from unknown or deleted customers
SELECT *
FROM Customers
RIGHT JOIN Orders
ON Customers.ID = Orders.CustomerID;
๐๐จ๐๐ ๐ข๐จ๐ง๐๐ฅ ๐๐ข๐๐ก
โ Returns all records when thereโs a match in either table
โ Unmatched rows = NULLs
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
Show all customers and all orders, whether matched or not
SELECT *
FROM Customers
FULL OUTER JOIN Orders
ON Customers.ID = Orders.CustomerID;
๐๐ฅ๐ข๐ฆ๐ฆ ๐๐ข๐๐ก
โ Returns Cartesian product (all combinations)
โ Use with care. 1,000 x 1,000 rows = 1,000,000 results!
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
Show all possible product and supplier pairings
SELECT *
FROM Products
CROSS JOIN Suppliers;
๐ฆ๐๐๐ ๐๐ข๐๐ก
โ Join a table to itself
โ Used for hierarchical data like employees & managers
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
Find each employeeโs manager
SELECT A.Name AS Employee, B.Name AS Manager
FROM Employees A
JOIN Employees B
ON A.ManagerID = B.ID;
๐๐ฒ๐๐ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ๐
โ Always use aliases (A, B) to simplify joins
โ Use JOIN ON instead of WHERE for better clarity
โ Test each join with LIMIT first to avoid surprises
---
๐ช๐ต๐ ๐ท๐ผ๐ถ๐ป๐ ๐บ๐ฎ๐๐๐ฒ๐ฟ?
Joins let you combine data from multiple tables to extract meaningful insights.
Every serious data analyst or backend dev should master these.
Letโs break them down with clarity:
๐๐ก๐ก๐๐ฅ ๐๐ข๐๐ก
โ Returns only the rows with matching keys in both tables
โ Think of it as intersection
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
Customers who have placed at least one order
SELECT *
FROM Customers
INNER JOIN Orders
ON Customers.ID = Orders.CustomerID;
๐๐๐๐ง ๐๐ข๐๐ก (๐ข๐จ๐ง๐๐ฅ)
โ Returns all rows from the left table + matching rows from the right
โ If no match, right side = NULL
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
List all customers, even if theyโve never ordered
SELECT *
FROM Customers
LEFT JOIN Orders
ON Customers.ID = Orders.CustomerID;
๐ฅ๐๐๐๐ง ๐๐ข๐๐ก (๐ข๐จ๐ง๐๐ฅ)
โ Returns all rows from the right table + matching rows from the left
โ Rarely used, but similar logic
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
All orders, even from unknown or deleted customers
SELECT *
FROM Customers
RIGHT JOIN Orders
ON Customers.ID = Orders.CustomerID;
๐๐จ๐๐ ๐ข๐จ๐ง๐๐ฅ ๐๐ข๐๐ก
โ Returns all records when thereโs a match in either table
โ Unmatched rows = NULLs
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
Show all customers and all orders, whether matched or not
SELECT *
FROM Customers
FULL OUTER JOIN Orders
ON Customers.ID = Orders.CustomerID;
๐๐ฅ๐ข๐ฆ๐ฆ ๐๐ข๐๐ก
โ Returns Cartesian product (all combinations)
โ Use with care. 1,000 x 1,000 rows = 1,000,000 results!
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
Show all possible product and supplier pairings
SELECT *
FROM Products
CROSS JOIN Suppliers;
๐ฆ๐๐๐ ๐๐ข๐๐ก
โ Join a table to itself
โ Used for hierarchical data like employees & managers
๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ:
Find each employeeโs manager
SELECT A.Name AS Employee, B.Name AS Manager
FROM Employees A
JOIN Employees B
ON A.ManagerID = B.ID;
๐๐ฒ๐๐ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ๐
โ Always use aliases (A, B) to simplify joins
โ Use JOIN ON instead of WHERE for better clarity
โ Test each join with LIMIT first to avoid surprises
---
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SQL Query Optimaztion.pdf
897.9 KB
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Forwarded from Machine Learning with Python
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Forwarded from Thomas
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SQL interview.pdf
4.6 MB
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โ๏ธ Understanding DELETE vs. TRUNCATE.
โ๏ธ Exploring Primary Key vs. Unique Key.
โ๏ธ Mastering ACID properties for data reliability.
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