What are the types of serializers in Spark?

In Spark, there are several common types of serializers.

1. Java Serialization: Utilizing Java’s default mechanism for serializing data.
2. Kryo Serialization: Implement efficient binary serialization using the Kryo library, which is faster than Java Serialization.
3. Serialize and deserialize data using Apache Avro.
4. Utilize Protobuf for data serialization and deserialization.
5. Thrift Serialization: Utilizing Apache Thrift for data serialization and deserialization.

These types of serializers can be configured in Spark to meet various performance and requirement needs.