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null default values and `@jsoninclude` in jackson: a comprehensive tutorial

jackson, a popular java library for processing json, provides powerful mechanisms for controlling the serialization and deserialization of java objects into and from json. one important aspect of this control is handling null values. this tutorial will delve deep into how to use jackson's `@jsoninclude` annotation to manage the inclusion or exclusion of fields with `null` values during json serialization, along with the implications and best practices. we'll also explore related concepts like default values and how they interact with `@jsoninclude`.

*understanding the issue: default serialization behavior*

by default, jackson serializes all fields of a java object, regardless of whether they have `null` or non-null values. this can lead to json output that includes fields with explicit `null` values, like this:



while this is valid json, it might not be desirable in all scenarios. you might want to reduce the size of the json payload by omitting `null` values, or you might have an api requirement to exclude them for clarity.

*introducing `@jsoninclude` annotation*

the `@jsoninclude` annotation is jackson's primary tool for controlling which properties are included during serialization. it's part of the `com.fasterxml.jackson.annotation` package and provides fine-grained control over how null values, empty collections, and other empty-like states are handled.

*key `@jsoninclude.include` values:*

the `@jsoninclude` annotation takes a single argument: `value`, which is an enumeration of type `jsoninclude.include`. here are the most commonly used values:

*`jsoninclude.include.always`**: this is the *default behavior. all properties are included, regardless of their value (even if `null`).
**`jsoninclude.include.non_null`**: properties with `null` values are excluded from the serialized json. this is a very common and useful setting.
**`jsoninclude.include.non_abs ...

#NullValues #JSONPayload #DefaultValues

null default values
JSON payload
default value handling
JSON schema
data validation
optional fields
API design
error handling
data integrity
programming best practices
data serialization
default settings
configuration management
null checks
payload structure