Connection pooling in Flask - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is connection pooling in the context of Flask applications?

Connection pooling is a technique where a set of database connections are kept open and reused to handle multiple requests, instead of opening and closing a new connection for each request. This improves performance and resource management.

beginner

Why is connection pooling important for web applications using Flask?

Because opening a new database connection for every request is slow and resource-heavy. Connection pooling reduces latency and improves scalability by reusing existing connections.

intermediate

Which Flask extension commonly helps manage connection pooling with SQL databases?

Flask-SQLAlchemy, which uses SQLAlchemy under the hood, manages connection pooling automatically for you.

intermediate

How does connection pooling affect the number of open connections to the database?

It limits the number of open connections by reusing a fixed pool of connections, preventing too many connections from overwhelming the database.

beginner

What could happen if a Flask app does not use connection pooling when handling many requests?

The app might open too many database connections, causing slowdowns, errors, or crashes due to resource exhaustion.

What does connection pooling do in a Flask app?

A Keeps a set of database connections open to reuse them

B Closes all database connections after each request

C Creates a new database connection for every query

D Prevents the app from connecting to the database

Connection pooling keeps a set of open connections ready to reuse, improving performance.

Which Flask extension helps manage connection pooling with databases?

A Flask-SQLAlchemy

B Flask-Login

C Flask-Mail

D Flask-WTF

Flask-SQLAlchemy manages database connections and pooling automatically.

What is a main benefit of using connection pooling?

A Slower database queries

B Reduced latency and better resource use

C More memory usage

D More database connections opened

Connection pooling reduces latency and uses resources efficiently by reusing connections.

What happens if a Flask app opens a new database connection for every request without pooling?

A The app runs faster

B The app never connects to the database

C The app uses less memory

D The database may get overwhelmed and slow down

Opening too many connections can overwhelm the database and cause slowdowns.

How does connection pooling limit the number of open connections?

A By opening new connections for each query

B By closing connections immediately after use

C By reusing a fixed number of open connections

D By blocking database access

Connection pooling reuses a fixed pool of connections to limit open connections.

Explain connection pooling and why it is useful in Flask web applications.

Think about how opening a new connection each time can slow things down.

Describe how Flask-SQLAlchemy helps with connection pooling.

Consider the role of extensions in Flask for database tasks.