Change streams on databases in MongoDB - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a change stream in MongoDB?

A change stream is a feature in MongoDB that lets applications listen for real-time changes (like inserts, updates, deletes) happening in the database without polling.

beginner

How do you start watching a change stream on a MongoDB database?

You use the watch() method on the database object to open a change stream that listens to all changes in that database.

intermediate

Which MongoDB operation types can change streams detect?

Change streams can detect insert, update, replace, delete, and invalidate operations.

intermediate

What is the purpose of the resumeToken in change streams?

The resumeToken lets you restart a change stream from a specific point if the stream is interrupted, so you don't miss any changes.

intermediate

Can change streams be used on a single collection, a database, and the entire cluster?

Yes, change streams can be opened on a single collection, on a whole database, or on the entire MongoDB cluster to watch all changes.

What method do you call to start a change stream on a MongoDB database?

A watch()

B listen()

C subscribe()

D observe()

The watch() method is used to open a change stream on a database or collection.

Which of these operations will NOT trigger a change stream event?

A createIndexes

B insert

C update

D delete

Creating an index does not trigger change stream events; only data changes like insert, update, replace, delete, and invalidate do.

What does the resumeToken help with in change streams?

A Filtering events

B Restarting the stream from a saved point

C Encrypting data

D Sorting change events

The resumeToken allows resuming a change stream from where it left off after an interruption.

Can change streams be used to watch changes across all collections in a database?

A Only on system collections

B No, only on single collections

C Yes, by opening a change stream on the database

D Only on the cluster level

Opening a change stream on a database watches changes across all its collections.

Which MongoDB feature allows applications to react instantly to data changes without polling?

A Sharding

B Aggregation pipeline

C Indexes

D Change streams

Change streams provide real-time notifications of data changes without needing to poll the database.

Explain what a MongoDB change stream is and how it can be used in an application.

Think about how apps get notified instantly when data changes.

Describe the different levels at which you can open a change stream in MongoDB and what each level watches.

Consider the scope of changes you want to monitor.

Practice

1. What is the main purpose of MongoDB change streams on databases?

easy

A. To listen for real-time changes in the database

B. To backup the database automatically

C. To create indexes on collections

D. To run queries faster

Solution

1. Step 1: Understand what change streams do

   Change streams allow applications to watch for changes like inserts, updates, or deletes in real-time.

2. Step 2: Compare options with this purpose

   Only To listen for real-time changes in the database describes listening to real-time changes, which matches the main purpose of change streams.

3. Final Answer:

   To listen for real-time changes in the database -> Option A

4. Quick Check:

   Change streams = real-time listening [OK]

Hint: Change streams = real-time database updates listener [OK]

Common Mistakes:

• Confusing change streams with backups
• Thinking change streams create indexes
• Assuming change streams speed up queries

2. Which of the following is the correct syntax to start watching changes on a MongoDB database named mydb?

easy

A. watch.db('mydb')

B. db.watch('mydb')

C. db.mydb.watch()

D. db.getSiblingDB('mydb').watch()

Solution

1. Step 1: Recall how to access a database in MongoDB shell

   To access a database other than the current one, use db.getSiblingDB('mydb').

2. Step 2: Apply the watch() method on the database object

   The watch() method is called on the database object to start change streams.

3. Final Answer:

   db.getSiblingDB('mydb').watch() -> Option D

4. Quick Check:

   Use getSiblingDB to access db, then watch() [OK]

Hint: Use db.getSiblingDB('name').watch() to watch a database [OK]

Common Mistakes:

• Trying to call watch() directly on db with database name
• Using incorrect method like db.watch('name')
• Confusing method order or syntax

3. Given the following code snippet, what will be the output if a document is inserted into any collection in the testdb database?

const changeStream = db.getSiblingDB('testdb').watch();
changeStream.forEach((change) => {
  printjson(change.operationType);
});

medium

A. "update"

B. "delete"

C. "insert"

D. No output

Solution

1. Step 1: Understand what triggers the change event

   The change stream listens to all changes in the database, including inserts, updates, and deletes.

2. Step 2: Identify the operationType for an insert

   When a document is inserted, the operationType is "insert".

3. Final Answer:

   "insert" -> Option C

4. Quick Check:

   Insert triggers operationType = "insert" [OK]

Hint: Insert triggers operationType 'insert' in change stream [OK]

Common Mistakes:

• Expecting 'update' or 'delete' for insert events
• Thinking no output occurs without filters
• Confusing event names with method names

4. Identify the error in this code snippet that tries to watch changes on the sales database:

const changeStream = db.sales.watch();
changeStream.forEach((change) => {
  printjson(change);
});

medium

A. The watch() method cannot be called on a database object

B. The database should be accessed using getSiblingDB('sales') before calling watch()

C. The on() method is not valid for change streams

D. Missing parentheses after watch

Solution

1. Step 1: Check how the database is accessed

   Using db.sales accesses a collection named 'sales' in the current database, not the database itself.

2. Step 2: Correct way to access a different database

   To watch changes on the 'sales' database, use db.getSiblingDB('sales').watch().

3. Final Answer:

   The database should be accessed using getSiblingDB('sales') before calling watch() -> Option B

4. Quick Check:

   Use getSiblingDB to access database, not db.sales [OK]

Hint: Use getSiblingDB('name') to access database, not db.name [OK]

Common Mistakes:

• Assuming db.sales is a database instead of a collection
• Thinking watch() can't be called on database objects
• Confusing event handling methods

5. You want to watch only update operations on the orders database using change streams. Which code snippet correctly applies a filter to achieve this?

hard

A. db.getSiblingDB('orders').watch([{ $match: { operationType: 'update' } }])

B. db.orders.watch({ operationType: 'update' })

C. db.getSiblingDB('orders').watch({ filter: { operationType: 'update' } })

D. db.getSiblingDB('orders').watch([{ $filter: { operationType: 'update' } }])

Solution

1. Step 1: Recall how to filter change streams

   Change streams accept an aggregation pipeline array to filter events, using stages like $match.

2. Step 2: Apply correct syntax for filtering updates

   The correct filter is [{ $match: { operationType: 'update' } }] passed as an array to watch().

3. Final Answer:

   db.getSiblingDB('orders').watch([{ $match: { operationType: 'update' } }]) -> Option A

4. Quick Check:

   Use $match in array to filter change streams [OK]

Hint: Use watch([{ $match: { operationType: 'update' } }]) to filter updates [OK]

Common Mistakes:

• Passing filter as object instead of pipeline array
• Using invalid keys like 'filter' or '$filter'
• Calling watch() on collection instead of database