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PostgreSQLquery~10 mins

TABLESAMPLE for random sampling in PostgreSQL - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to select a random 10% sample of rows from the table named employees.

PostgreSQL
SELECT * FROM employees TABLESAMPLE [1] (10);
Drag options to blanks, or click blank then click option'
ASYSTEM
BRANDOM
CBERNOULLI
DHASH
Attempts:
3 left
💡 Hint
Common Mistakes
Using RANDOM which is not a valid TABLESAMPLE method in PostgreSQL.
Using BERNOULLI which is valid but less efficient than SYSTEM.
2fill in blank
medium

Complete the code to select a 5% random sample of rows using the BERNOULLI method.

PostgreSQL
SELECT * FROM sales TABLESAMPLE [1] (5);
Drag options to blanks, or click blank then click option'
AHASH
BRANDOM
CSYSTEM
DBERNOULLI
Attempts:
3 left
💡 Hint
Common Mistakes
Using SYSTEM which samples pages, not rows.
Using RANDOM which is not a valid method.
3fill in blank
hard

Fix the error in the code to correctly sample 20% of rows from the products table.

PostgreSQL
SELECT * FROM products TABLESAMPLE [1] (20);
Drag options to blanks, or click blank then click option'
ARANDOM
BSYSTEM
CBERNOULLI
DHASH
Attempts:
3 left
💡 Hint
Common Mistakes
Omitting parentheses around the percentage.
Using an invalid method name.
4fill in blank
hard

Fill both blanks to select a 15% random sample of rows from the orders table using the BERNOULLI method.

PostgreSQL
SELECT * FROM orders TABLESAMPLE [1] ([2]);
Drag options to blanks, or click blank then click option'
ABERNOULLI
B10
C15
DSYSTEM
Attempts:
3 left
💡 Hint
Common Mistakes
Using SYSTEM instead of BERNOULLI.
Using 10 instead of 15 for the percentage.
5fill in blank
hard

Fill all three blanks to select a 25% random sample of rows from the customers table using the SYSTEM method.

PostgreSQL
SELECT * FROM customers TABLESAMPLE [1] ([2]) REPEATABLE ([3]);
Drag options to blanks, or click blank then click option'
ABERNOULLI
BSYSTEM
C25
D12345
Attempts:
3 left
💡 Hint
Common Mistakes
Using BERNOULLI instead of SYSTEM.
Omitting the REPEATABLE clause or seed value.

Practice

(1/5)
1.

What is the main purpose of using TABLESAMPLE in a PostgreSQL query?

easy
A. To retrieve a random subset of rows from a table
B. To sort the table rows in random order
C. To permanently delete random rows from a table
D. To create a backup of the table

Solution

  1. Step 1: Understand the purpose of TABLESAMPLE

    TABLESAMPLE is used to get a random sample of rows from a table without scanning the entire table.
  2. Step 2: Compare options with TABLESAMPLE usage

    Only To retrieve a random subset of rows from a table describes retrieving a random subset of rows, which matches TABLESAMPLE's purpose.
  3. Final Answer:

    To retrieve a random subset of rows from a table -> Option A
  4. Quick Check:

    TABLESAMPLE = random subset retrieval [OK]
Hint: TABLESAMPLE returns random rows, not sorting or deleting [OK]
Common Mistakes:
  • Confusing TABLESAMPLE with ORDER BY RANDOM()
  • Thinking TABLESAMPLE deletes rows
  • Assuming TABLESAMPLE creates backups
2.

Which of the following is the correct syntax to sample approximately 10% of rows from a table named employees using the BERNOULLI method?

easy
A. SELECT * FROM employees TABLESAMPLE BERNOULLI(10);
B. SELECT * FROM employees TABLESAMPLE SYSTEM(10);
C. SELECT * FROM employees SAMPLE BERNOULLI(10);
D. SELECT * FROM employees TABLESAMPLE BERNOULLI 10;

Solution

  1. Step 1: Recall correct TABLESAMPLE syntax

    The correct syntax uses TABLESAMPLE followed by the method name and percentage in parentheses.
  2. Step 2: Check each option

    SELECT * FROM employees TABLESAMPLE BERNOULLI(10); matches the correct syntax exactly. SELECT * FROM employees TABLESAMPLE SYSTEM(10); uses SYSTEM instead of BERNOULLI. SELECT * FROM employees SAMPLE BERNOULLI(10); misses TABLESAMPLE keyword. SELECT * FROM employees TABLESAMPLE BERNOULLI 10; misses parentheses around 10.
  3. Final Answer:

    SELECT * FROM employees TABLESAMPLE BERNOULLI(10); -> Option A
  4. Quick Check:

    Correct TABLESAMPLE syntax = SELECT * FROM employees TABLESAMPLE BERNOULLI(10); [OK]
Hint: Use TABLESAMPLE METHOD(percentage) with parentheses [OK]
Common Mistakes:
  • Omitting TABLESAMPLE keyword
  • Using wrong method name
  • Missing parentheses around percentage
3.

Given a table products with 1000 rows, what is the expected approximate number of rows returned by this query?

SELECT * FROM products TABLESAMPLE SYSTEM(5);
medium
A. Exactly 5 rows
B. About 50 rows
C. About 500 rows
D. All 1000 rows

Solution

  1. Step 1: Understand SYSTEM sampling percentage

    SYSTEM(5) means approximately 5% of rows are sampled.
  2. Step 2: Calculate expected rows from 1000 total

    5% of 1000 is 0.05 * 1000 = 50 rows approximately.
  3. Final Answer:

    About 50 rows -> Option B
  4. Quick Check:

    5% of 1000 = 50 [OK]
Hint: Percentage in TABLESAMPLE is approximate row count percent [OK]
Common Mistakes:
  • Confusing percentage with exact row count
  • Assuming SYSTEM returns fewer rows than BERNOULLI always
  • Thinking TABLESAMPLE returns all rows
4.

Identify the error in this query that tries to sample 20% of rows using BERNOULLI:

SELECT * FROM orders TABLESAMPLE BERNOULLI 20;
medium
A. TABLESAMPLE keyword is misspelled
B. BERNOULLI method cannot be used with TABLESAMPLE
C. Percentage value must be between 0 and 1
D. Missing parentheses around the percentage value

Solution

  1. Step 1: Check TABLESAMPLE BERNOULLI syntax

    The percentage must be inside parentheses, like BERNOULLI(20).
  2. Step 2: Identify the error in the query

    The query misses parentheses around 20, causing syntax error.
  3. Final Answer:

    Missing parentheses around the percentage value -> Option D
  4. Quick Check:

    Percentage needs parentheses in TABLESAMPLE [OK]
Hint: Always put percentage in parentheses after method name [OK]
Common Mistakes:
  • Omitting parentheses around percentage
  • Using invalid percentage range
  • Misspelling TABLESAMPLE keyword
5.

You want to quickly test a query on a large table sales but need a random sample that is more uniformly random than SYSTEM sampling. Which query is best?

Options:
A) SELECT * FROM sales TABLESAMPLE SYSTEM(10);
B) SELECT * FROM sales TABLESAMPLE BERNOULLI(10);
C) SELECT * FROM sales ORDER BY RANDOM() LIMIT 100;
D) SELECT * FROM sales TABLESAMPLE SYSTEM(100);
hard
A. Use SYSTEM sampling for speed but less randomness
B. Use ORDER BY RANDOM() for perfect randomness but slower
C. Use BERNOULLI sampling for better randomness
D. Use SYSTEM sampling with 100% to get all rows

Solution

  1. Step 1: Compare randomness and speed of methods

    SYSTEM is faster but less random; BERNOULLI is slower but more uniformly random.
  2. Step 2: Choose best method for uniform randomness and speed

    BERNOULLI(10) gives a good balance of randomness and reasonable speed for sampling.
  3. Final Answer:

    Use BERNOULLI sampling for better randomness -> Option C
  4. Quick Check:

    BERNOULLI = better randomness than SYSTEM [OK]
Hint: BERNOULLI is more random; SYSTEM is faster [OK]
Common Mistakes:
  • Choosing SYSTEM when better randomness is needed
  • Using ORDER BY RANDOM() on large tables (slow)
  • Misunderstanding 100% SYSTEM returns all rows
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