Junior — Middle
What methods can be used to ensure the isolation of transactional operations in a database?
sobes.tech AI
Answer from AI
Transaction isolation in a database is achieved through isolation levels that control the visibility of changes between transactions. The main methods are:
- Read Uncommitted — the lowest isolation level, allows reading uncommitted data (dirty read).
- Read Committed — allows reading only committed data, preventing dirty reads.
- Repeatable Read — guarantees that data read in a transaction will not change until the transaction completes.
- Serializable — the strictest isolation level, ensures full transaction serializability.
In Python, transaction management is often handled using ORM (e.g., SQLAlchemy), where you can explicitly set the isolation level when opening a session or transaction:
from sqlalchemy import create_engine
engine = create_engine('postgresql://user:pass@localhost/db')
with engine.connect() as connection:
trans = connection.begin()
connection.execution_options(isolation_level="SERIALIZABLE")
try:
# database operations
trans.commit()
except:
trans.rollback()
raise
You can also use locks and optimistic concurrency for additional isolation.