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PostgreSQLquery~10 mins

EXPLAIN output reading in PostgreSQL - Interactive Code Practice

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

Complete the code to show the query plan for selecting all rows from the table named employees.

PostgreSQL
EXPLAIN [1] * FROM employees;
Drag options to blanks, or click blank then click option'
ASELECT
BINSERT
CUPDATE
DDELETE
Attempts:
3 left
💡 Hint
Common Mistakes
Using INSERT, UPDATE, or DELETE after EXPLAIN instead of SELECT.
Forgetting to write SELECT after EXPLAIN.
2fill in blank
medium

Complete the code to get a detailed query plan with actual run times for the query selecting all rows from employees.

PostgreSQL
EXPLAIN ([1]) SELECT * FROM employees;
Drag options to blanks, or click blank then click option'
AANALYZE
BVERBOSE
CBUFFERS
DCOSTS
Attempts:
3 left
💡 Hint
Common Mistakes
Using VERBOSE or COSTS instead of ANALYZE to get actual run times.
Not including any option and missing timing details.
3fill in blank
hard

Fix the error in the EXPLAIN command to show the query plan with buffers information for a SELECT query.

PostgreSQL
EXPLAIN (ANALYZE, [1]) SELECT * FROM employees;
Drag options to blanks, or click blank then click option'
ATIMING
BANALYZE
CBUFFERS
DVERBOSE
Attempts:
3 left
💡 Hint
Common Mistakes
Repeating ANALYZE option twice.
Using TIMING which is deprecated in newer PostgreSQL versions.
Using VERBOSE which shows more details but not buffer info.
4fill in blank
hard

Fill both blanks to create a query that shows the query plan with costs and without actual execution for a SELECT from employees.

PostgreSQL
EXPLAIN ([1], [2]) SELECT * FROM employees;
Drag options to blanks, or click blank then click option'
ACOSTS
BANALYZE
CBUFFERS
DVERBOSE
Attempts:
3 left
💡 Hint
Common Mistakes
Including ANALYZE which runs the query and shows actual times.
Using BUFFERS without ANALYZE which does not show buffer info.
5fill in blank
hard

Fill all three blanks to create a query that shows the query plan with actual execution, buffers info, and verbose output for a SELECT from employees.

PostgreSQL
EXPLAIN ([1], [2], [3]) SELECT * FROM employees;
Drag options to blanks, or click blank then click option'
AANALYZE
BBUFFERS
CVERBOSE
DCOSTS
Attempts:
3 left
💡 Hint
Common Mistakes
Omitting ANALYZE which means no actual run times.
Using COSTS instead of VERBOSE for detailed output.
Not including BUFFERS to see memory usage.

Practice

(1/5)
1. What does the EXPLAIN command in PostgreSQL primarily show?
easy
A. How PostgreSQL plans to execute a query
B. The exact data returned by the query
C. The syntax errors in the query
D. The database schema structure

Solution

  1. Step 1: Understand the purpose of EXPLAIN

    EXPLAIN shows the query plan, which is how PostgreSQL intends to run the query.
  2. Step 2: Differentiate from other commands

    It does not show actual data or errors, only the plan.
  3. Final Answer:

    How PostgreSQL plans to execute a query -> Option A
  4. Quick Check:

    EXPLAIN = query plan [OK]
Hint: EXPLAIN = query plan, not data or errors [OK]
Common Mistakes:
  • Thinking EXPLAIN shows query results
  • Confusing EXPLAIN with syntax error checks
  • Assuming EXPLAIN shows database schema
2. Which of the following is the correct syntax to get the query plan for SELECT * FROM users; in PostgreSQL?
easy
A. EXPLAIN SELECT * FROM users;
B. EXPLAIN ANALYZE users SELECT *;
C. EXPLAIN FROM users SELECT *;
D. ANALYZE EXPLAIN SELECT * FROM users;

Solution

  1. Step 1: Recall correct EXPLAIN syntax

    The correct syntax is EXPLAIN followed by the query.
  2. Step 2: Check each option

    EXPLAIN SELECT * FROM users; matches the correct syntax. Others mix keywords incorrectly.
  3. Final Answer:

    EXPLAIN SELECT * FROM users; -> Option A
  4. Quick Check:

    EXPLAIN + query = correct syntax [OK]
Hint: EXPLAIN always precedes the query [OK]
Common Mistakes:
  • Placing ANALYZE before EXPLAIN
  • Using FROM before SELECT incorrectly
  • Mixing keywords in wrong order
3. Given the EXPLAIN output below for SELECT * FROM orders WHERE customer_id = 5;, what does the line Index Scan using idx_customer_id on orders indicate?
medium
A. PostgreSQL is scanning the entire orders table
B. PostgreSQL is using an index to find matching rows
C. PostgreSQL is performing a sequential scan
D. PostgreSQL is creating a new index during query

Solution

  1. Step 1: Understand 'Index Scan' meaning

    An Index Scan means PostgreSQL uses an index to quickly find rows matching the condition.
  2. Step 2: Compare with other scan types

    Sequential scan means scanning all rows, which is not the case here.
  3. Final Answer:

    PostgreSQL is using an index to find matching rows -> Option B
  4. Quick Check:

    Index Scan = use index [OK]
Hint: 'Index Scan' means index used, not full table scan [OK]
Common Mistakes:
  • Confusing Index Scan with Sequential Scan
  • Thinking index is created during query
  • Assuming full table scan always happens
4. You run EXPLAIN ANALYZE SELECT * FROM products WHERE price > 100; but get an error saying "relation 'products' does not exist." What is the likely cause?
medium
A. EXPLAIN ANALYZE cannot be used with WHERE clauses
B. The query syntax is incorrect for EXPLAIN ANALYZE
C. The table 'products' does not exist in the current database
D. You forgot to commit the transaction

Solution

  1. Step 1: Analyze the error message

    The error says the table 'products' does not exist, meaning PostgreSQL cannot find it.
  2. Step 2: Check other options

    EXPLAIN ANALYZE works with WHERE clauses and the syntax is correct. Committing transaction is unrelated.
  3. Final Answer:

    The table 'products' does not exist in the current database -> Option C
  4. Quick Check:

    Relation not found = missing table [OK]
Hint: Check table existence if 'relation does not exist' error appears [OK]
Common Mistakes:
  • Assuming EXPLAIN ANALYZE disallows WHERE
  • Blaming syntax when table is missing
  • Thinking commit affects table visibility
5. You want to optimize a slow query. The EXPLAIN ANALYZE output shows a Seq Scan on a large table with a filter on a column. What is the best next step to improve performance?
hard
A. Drop the table and recreate it
B. Rewrite the query without the filter
C. Increase the work_mem setting
D. Create an index on the filtered column

Solution

  1. Step 1: Understand Seq Scan impact

    A Seq Scan reads all rows, which is slow on large tables when filtering.
  2. Step 2: Use index to speed filtering

    Creating an index on the filtered column lets PostgreSQL quickly find matching rows, avoiding full scan.
  3. Final Answer:

    Create an index on the filtered column -> Option D
  4. Quick Check:

    Seq Scan slow? Add index [OK]
Hint: Seq Scan slow? Add index on filter column [OK]
Common Mistakes:
  • Removing filter instead of indexing
  • Changing memory settings without indexing
  • Dropping table unnecessarily