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What is the difference between the DROP and TRUNCATE commands in SQL?
  • a)
    DROP deletes the table, TRUNCATE deletes only the table data
  • b)
    TRUNCATE deletes the table, DROP deletes only the table data
  • c)
    No difference
  • d)
    Both commands modify table data
Correct answer is option 'A'. Can you explain this answer?
Verified Answer
What is the difference between the DROP and TRUNCATE commands in SQL?a...
DROP deletes the entire table, while TRUNCATE removes only its data but keeps the table structure.
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Most Upvoted Answer
What is the difference between the DROP and TRUNCATE commands in SQL?a...
Understanding DROP and TRUNCATE Commands in SQL
The SQL commands DROP and TRUNCATE are both used to manage database tables, but they serve very different purposes.
1. DROP Command
- The DROP command is used to completely remove a table from the database.
- It deletes the table structure and all its data, along with any associated constraints, indexes, and triggers.
- Once a table is dropped, it cannot be recovered unless there is a backup available.
- Example:
sql
DROP TABLE table_name;
2. TRUNCATE Command
- The TRUNCATE command is used to delete all rows from a table but keeps the table structure intact.
- It is a faster operation than DELETE because it does not log individual row deletions but rather deallocates entire data pages.
- After truncation, the table can still be used for future data insertions.
- Example:
sql
TRUNCATE TABLE table_name;
3. Key Differences
- Data Deletion: DROP deletes the table and its structure; TRUNCATE only deletes the data while retaining the structure.
- Recovery: Once a DROP command is executed, the table is gone for good unless restored from a backup. TRUNCATE allows for the table to be reused.
- Performance: TRUNCATE is generally faster than DELETE because it doesn't log each row deletion.
In summary, option 'A' accurately reflects the distinction: DROP deletes the table, while TRUNCATE deletes only the table data. Understanding these differences is crucial for effective database management.
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