Category Archives: Java

Obscure IntelliJ IDEA "bug" with maven jdk profile activation "not working"

Since Java 9 it is popular to activate additional dependencies which were removed from the core JDK through maven profile.

Using Java 11 , jaxb-api would correctly show in maven dependency tree and Docker packaged application would work correctly with the dependency jar in the classpath.

However, when running the app from IntelliJ it would fall apart with

Opening module dependencies in IDE would show that jaxb-api is not on the list of dependencies. IntelliJ is therefore not activating the maven profile correctly even though:

  • maven compiler release is set to 11
  • project and Module SDK is set to Java 11
  • app is run with Java 11

Why is that? There is this snippet in IntelliJ Maven Profiles documentation:

If you use a profile activation with the JDK condition (JDK tags in the POM: <jdk></jdk>), IntelliJ IDEA will use the JDK version of the Maven importer instead of the project's JDK version when syncing the project and resolving dependencies. Also, if you use https certificates, you need to include them manually for the Maven importer as well as for the Maven runner.

Why IntelliJ developers decided to tie the maven profile activation to importer I do not know. It would make much more sense to tie it to Project/Module SDK. If app is being developed with Java 11 target one would expect to activate that profile at build and runtime, not at import time.

With more digging around I managed to find an issue complaining about this problem. Unfortunately the issue is 4 years old now with no apparent activity. Preferrably the default should be changed, if not at least give us an option to choose the source of profile activation in preferences.

 

 

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Receive only the data your client needs – full dynamic JSON filtering with Jackson

A lot of times JSON returned by your REST API grows to incredibly big structures and data sizes due to business logic complexity that is added over time. Then there are API methods returning a list of objects which can be huge in size. If you serve multiple clients, each one can have different demands on what is and is not needed from that data so backend can't decide on it's own what to prune and what to keep. Ideally, backend would always return full JSON by default but allow clients to specify exactly what they want and have backend adjust the response accordingly.  We can achieve this using the power of Jackson library.

Goal:
– allow REST API clients to decide on their own which parts of JSON to receive (full JSON filtering)

Resources for this tutorial:
– Microprofile or JakartaEE platform (JAX-RS)
– Jackson library
– Java classes (lib) representing your API responses which are serialized to JSON
– some custom code to bring things together

The lib module

First lets define a few classes which represent our JSON responses.

Our lib serialized to JSON would look something like this:

Let's say one of our clients only needs the engine horse power and brand information. We want to be able to specify a query parameter like filter=car:engine,brand;engine:hp and receive the following:

Step in Jackson

Jackson provides an annotation for such tasks called @JsonFilter. This annotation expects a filter name as a parameter and a named filter must be applied to serialization mapper, for example:

As you can see, all we need is already there but is a rather static affair. We need to take this and make it fully dynamic and client driven.

The reason filter needs a name is because each one is bound to a class and attribute filtering is done on that class. What we need to do is transform car:engine,brand into a carFilter and SimpleBeanPropertyFilter.filterOutAllExcept("engine", "brand").

For starters, lets add the filters to our classes:

There is one thing about this that bothers me.. the filter name is a static String so it is refactor unfriendly if class name changes some day. Couldn't we just name the filters by taking a look at the name of the underlying class? Yes we can, by extending Jackson introspection:

With this, any class annotated with @JsonFilter("") will automatically get a filter called classNameFilter. We no longer need to specify filter names and keep them in sync with class names.

Our lib now looks like:

Next step is to transform and apply the query parameters into our filter structure.

First, register a Jackson provider for JAX-RS server:

We register our own introspector and disable failures on unknown filters (in case client filters by something nonexisting).

Provider must be registered in your rest Application.

Finally, we implement our own MessageBodyWriter to override the default serialization and apply the filters dynamically.

getFilterLogic method assembles the query parameter structure into a map of <String className, Set<String> fields> which is then applied as a Jackson filter.

Finally, we need to register our JsonFilterProvider in our Application as we did with JacksonProvider.

One small deficiency with this solution is that once you specify a class with fields to filter, it will be filtered wherever in the nested JSON structure it appears, you can't just filter a specific class at a specific level. Realistically, I think this is a rather minor problem compared to the benefits and the simplicity of the implementation.

Finally a question on documentation. How do you tell the client developer about all the possible filter object names and their attributes? If you use OpenAPI you are 95% there. Simply document that you can filter by model name followed by attribute name. Client developer can easily figure out the names from your OpenAPI specification. The only remaining problem is when you don't want to allow filtering on all classes. In this case my approach would be to document a filterable class in OpenAPI description:

This manual approach of documenting goes against the rest of the paradigm so a real purist would write an OpenAPI extension that would introspect all @JsonFilter annotations and modify the descriptions automatically. But let's leave that for a future blog post.

 

A similar, more advanced and out-of-the-box solution is squiggly, which also uses Jackson under the hood.

 

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