Apache Kafka - Real-time Stream Processing (Master Class) - AVRO Schema to POJO for AVRO Serdes

This video tutorial covers Avro serialization, a popular choice for big data projects. It explains how to create Avro schemas, including handling limitations like inheritance by combining schemas. The tutorial guides through defining fields and complex types, such as arrays, using Avro schema syntax. It also demonstrates generating Java classes from these schemas using Maven, detailing necessary plugins and configurations. The video concludes with a note on using Avro-generated POJOs in Kafka, to be covered in future lectures.

What is a major limitation of Avro compared to JSON when it comes to schema design?

• Avro does not support inheritance.

• Avro requires more storage space.

• Avro cannot handle large data sets.

• Avro is not compatible with Java.

What is the first step in defining an Avro schema?

• Specify the field types.

• List all the fields.

• Define a namespace.

• Create a Maven project.

In Avro schema definitions, what is typically used to generate a Java class?

• Record

• Array

• Integer

• String

How do you define an array in an Avro schema?

• Using a simple type definition.

• Using a list of strings.

• By specifying the type as 'array' and defining the items.

• By creating a new schema for each element.

What is required to compile the generated Avro code?

• A specific version of Java.

• A separate build tool.

• A JSON parser.

• Avro packages.

Which plugin is used to generate class definitions from Avro schemas?

• Java Build Plugin

• JSON Schema Plugin

• Avro Maven Plugin

• Maven Compiler Plugin

What additional step is necessary when cross-referencing schemas in Avro?

• Using a different serialization format.

• Defining a new schema type.

• Importing the referenced files.

• Creating a new namespace.