Avro schema definition in Kafka - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define the type of the Avro field.

Kafka

{
  "name": "age",
  "type": "[1]"
}

Drag options to blanks, or click blank then click option'

Aint

Bstring

Cboolean

Dfloat

Attempts:

3 left

💡 Hint

Common Mistakes

Using string instead of int for numeric fields.

Using float when decimals are not needed.

The field age should be an integer, so the type is int.

2fill in blank

medium

Complete the code to define a nullable string field in Avro.

Kafka

{
  "name": "nickname",
  "type": ["null", "[1]"]
}

Drag options to blanks, or click blank then click option'

Aboolean

Bfloat

Cstring

Dint

Attempts:

3 left

💡 Hint

Common Mistakes

Using only string without null for nullable fields.

Using int or boolean instead of string for text fields.

The field nickname can be missing or a string, so the type is a union of null and string.

3fill in blank

hard

Fix the error in the Avro schema type definition for a boolean field.

Kafka

{
  "name": "isActive",
  "type": "[1]"
}

Drag options to blanks, or click blank then click option'

Aboolean

Bint

Cstring

Dfloat

Attempts:

3 left

💡 Hint

Common Mistakes

Using string or int instead of boolean for true/false fields.

Using float for boolean fields.

The field isActive should be a boolean type, so the correct type is boolean.

4fill in blank

hard

Fill both blanks to define an Avro record with two fields: a string name and an int age.

Kafka

{
  "type": "record",
  "name": "Person",
  "fields": [
    {"name": "name", "type": "[1]"},
    {"name": "age", "type": "[2]"}
  ]
}

Drag options to blanks, or click blank then click option'

Astring

Bboolean

Cint

Dfloat

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up types for name and age fields.

Using boolean or float instead of string or int.

The name field is text, so it uses string. The age field is a whole number, so it uses int.

5fill in blank

hard

Fill all three blanks to define an Avro schema with a record named Employee having fields: id (int), name (string), and active (boolean).

Kafka

{
  "type": "record",
  "name": "Employee",
  "fields": [
    {"name": "id", "type": "[1]"},
    {"name": "name", "type": "[2]"},
    {"name": "active", "type": "[3]"}
  ]
}

Drag options to blanks, or click blank then click option'

Astring

Bint

Cboolean

Dfloat

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping types between fields.

Using float instead of int for id.

The id is a number without decimals, so int. The name is text, so string. The active field is true/false, so boolean.