Filter expressions in DynamoDB - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a filter expression in DynamoDB?

A filter expression is a condition that DynamoDB applies after retrieving items to decide which items to return to you. It filters out items that don't match the condition.

intermediate

When is a filter expression applied during a DynamoDB query or scan?

Filter expressions are applied after DynamoDB reads the items. They do not reduce the read capacity units consumed but only reduce the data returned to you.

beginner

Which operators can you use in a DynamoDB filter expression?

You can use comparison operators like =, <, >, <=, >=, <> and logical operators like AND, OR, NOT in filter expressions.

beginner

True or False: Filter expressions reduce the number of read capacity units consumed by DynamoDB.

False. Filter expressions do not reduce read capacity units because filtering happens after reading the data.

beginner

How do you write a filter expression to find items where the attribute 'status' equals 'active'?

You write: "#status = :val" and provide a value map with ":val" set to "active" and an expression attribute names map with "#status" set to "status".

When does DynamoDB apply a filter expression?

A During table creation

B Before reading items from the table

C After reading items, before returning results

D When updating items

Filter expressions are applied after DynamoDB reads the items to decide which items to return.

Which of these is a valid operator in a DynamoDB filter expression?

A =

B ++

C &&&

D ===

The '=' operator is valid for comparison in filter expressions.

Does using a filter expression reduce the read capacity units consumed?

A Yes, always

B No, never

C Only for queries, not scans

D Only if the filter expression is simple

Filter expressions do not reduce read capacity units because filtering happens after data is read.

Which DynamoDB operation can use filter expressions?

A Both Query and Scan

B Query

C Scan

D PutItem

Both Query and Scan operations support filter expressions.

What is the purpose of a filter expression?

A To filter items before reading them

B To update items conditionally

C To create indexes

D To filter items after reading them

Filter expressions filter items after DynamoDB reads them, controlling what is returned.

Explain what a filter expression is and when it is applied in DynamoDB operations.

Think about when DynamoDB reads data and when it decides what to return.

Describe how to write a simple filter expression to return items where an attribute equals a specific value.

Remember the syntax uses placeholders for values.

Practice

1. What is the main purpose of a FilterExpression in a DynamoDB scan or query?

easy

A. To return only items that meet specific conditions after reading all data

B. To reduce the size of the table permanently

C. To speed up the write operations

D. To create new indexes automatically

Solution

1. Step 1: Understand what FilterExpression does

   A FilterExpression is used to specify conditions that items must meet to be returned after the scan or query reads the data.

2. Step 2: Differentiate from other operations

   It does not change the table or speed up writes; it only filters results after reading.

3. Final Answer:

   To return only items that meet specific conditions after reading all data -> Option A

4. Quick Check:

   FilterExpression filters results after reading [OK]

Hint: FilterExpression filters results after reading data [OK]

Common Mistakes:

• Thinking FilterExpression reduces read capacity usage
• Confusing FilterExpression with key condition
• Assuming it changes the table data

2. Which of the following is the correct syntax for a FilterExpression to find items where attribute status equals 'active' in DynamoDB?

easy

A. FilterExpression: "status = 'active'"

B. FilterExpression: "status == 'active'"

C. FilterExpression: "status equals 'active'"

D. FilterExpression: "status === 'active'"

Solution

1. Step 1: Recall DynamoDB FilterExpression syntax

   DynamoDB uses single equals sign (=) for equality in FilterExpressions.

2. Step 2: Check each option

   FilterExpression: "status = 'active'" uses correct syntax. The other options use invalid operators (==, equals, ===) or keywords.

3. Final Answer:

   FilterExpression: "status = 'active'" -> Option A

4. Quick Check:

   Use single equals (=) for equality in FilterExpression [OK]

Hint: Use single '=' for equality in FilterExpression [OK]

Common Mistakes:

• Using double or triple equals (==, ===)
• Writing 'equals' as a word
• Using incorrect operators

3. Given a DynamoDB table with items having attribute age, what will be the result of this scan with FilterExpression age < 30 if the table has ages 25, 30, 35, and 40?

medium

A. Items with ages 25 and 30

B. Items with ages 25 only

C. Items with ages 30, 35, and 40

D. Items with ages 35 and 40

Solution

1. Step 1: Understand the FilterExpression condition

   The condition is age < 30, meaning only items with age less than 30 pass the filter.

2. Step 2: Check which ages satisfy the condition

   From the list (25, 30, 35, 40), only 25 is less than 30.

3. Final Answer:

   Items with ages 25 only -> Option B

4. Quick Check:

   age < 30 means less than 30 [OK]

Hint: Remember < means strictly less than [OK]

Common Mistakes:

• Including age 30 when condition is less than 30
• Confusing < with <= operator
• Assuming filter changes data in table

4. You wrote this FilterExpression: contains(name, 'John') but it returns no results even though some items have 'John' in their name. What is the likely mistake?

medium

A. Using contains() instead of equals()

B. Not using ExpressionAttributeNames for reserved words

C. FilterExpression is case-sensitive and 'John' does not match 'john'

D. FilterExpression must be in uppercase

Solution

1. Step 1: Understand contains() behavior

   contains() checks if the attribute contains the exact substring, including case.

2. Step 2: Consider case sensitivity

   If the data has 'john' lowercase but the filter uses 'John' with uppercase J, no match occurs.

3. Step 3: Check other choices

   Using equals() instead of contains() is not the issue since contains() is appropriate for substrings; reserved words would cause a different error; FilterExpressions are not required to be uppercase.

4. Final Answer:

   FilterExpression is case-sensitive and 'John' does not match 'john' -> Option C

5. Quick Check:

   contains() is case-sensitive [OK]

Hint: Remember contains() is case-sensitive [OK]

Common Mistakes:

• Ignoring case sensitivity in contains()
• Not using ExpressionAttributeNames when needed
• Assuming contains() works like equals()

5. You want to scan a DynamoDB table to find items where score is greater than 50 and status is 'active'. Which FilterExpression correctly applies both conditions?

hard

A. FilterExpression: "score > 50, status = 'active'"

B. FilterExpression: "score > 50 OR status = 'active'"

C. FilterExpression: "score > 50 && status == 'active'"

D. FilterExpression: "score > 50 AND status = 'active'"

Solution

1. Step 1: Understand logical operators in FilterExpression

   DynamoDB uses uppercase AND and OR for combining conditions.

2. Step 2: Check each option's syntax

   FilterExpression: "score > 50 AND status = 'active'" uses correct syntax with AND and single equals. FilterExpression: "score > 50 OR status = 'active'" uses OR which is incorrect for both conditions. FilterExpression: "score > 50, status = 'active'" uses comma which is invalid. FilterExpression: "score > 50 && status == 'active'" uses && and double equals which are invalid.

3. Final Answer:

   FilterExpression: "score > 50 AND status = 'active'" -> Option D

4. Quick Check:

   Use AND in uppercase and single '=' for equality [OK]

Hint: Use uppercase AND and single '=' in FilterExpression [OK]

Common Mistakes:

• Using OR instead of AND for both conditions
• Using commas or && instead of AND
• Using double equals (==) instead of single equals (=)