SQL · Theory

LIKE

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LIKE

Don’t start LIKE with jargon. Start with a LIKE dry-run. That is the whole point.

LIKE order — meaning → one LIKE step Rohit can write from memory → one limit. Dumping ten features helps nobody.

Without LIKE, lab hour gets messy and a LIKE dry-run is hard to trust.

LIKE shows up in lab hour. Name a LIKE dry-run, not “a real-world scenario”.

LIKE miss — skipping the failure case for LIKE. Fix it before you talk about advanced SQL.

LIKE is not a lonely heading. Rohit ties it to a LIKE dry-run.

Viva for LIKE: what it is → one LIKE step Rohit can write from memory → the mistake (skipping the failure case for LIKE).

Exam tip

Board: a LIKE dry-run. Dry-run LIKE. Name the trap: skipping the failure case for LIKE.

LIKE — sample query

CREATE TABLE products (id INTEGER PRIMARY KEY, name TEXT, price REAL);
INSERT INTO products VALUES (1, 'Pen', 10), (2, 'Book', 200), (3, 'Bag', 50);
SELECT * FROM products
WHERE price BETWEEN 20 AND 150 AND name LIKE 'B%';

LIKE — wHERE combines predicates with AND/OR; LIKE does pattern match.

Short notes

DefLIKE — Rohit uses it for a LIKE dry-run in lab hour.
RuleLIKE → one LIKE step Rohit can write from memory.
RememberLIKE + an index (lab hour).
UseLIKE in lab hour (a LIKE dry-run).
TrapLIKE — skipping the failure case for LIKE.
ExLIKE → a LIKE dry-run.

CREATE TABLE products (id INTEGER PRIMARY KEY, name TEXT, price REAL); INSERT INTO products VALUES (1, 'Pen', 10), (2, 'Book', 200), (3, 'Bag', 50); SELECT * FROM products WHERE price BETWEEN 20 AND 150 AND name LIKE 'B%';

LIKE

LIKE — sample query

Short notes

Questions

LIKE

LIKE — sample query

Short notes

Questions