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Group a list of objects by an attribute

java
prompt-engineering
performance
collections
Anton ShumikhinbyAnton Shumikhin·Dec 5, 2024
TLDR

Easily group objects in Java using Collectors.groupingBy from the Stream API. It returns a Map with attribute values as keys, and lists of objects grouped by these attributes as the values.

Map<Integer, List<Person>> peopleGroupedByAge = people.stream() .collect(Collectors.groupingBy(Person::getAge));

Here, Person::getAge is our classifier function that extracts the age (grouping attribute) from each person. peopleGroupedByAge becomes a Map, effectively categorizing our lovely people based on their ages.

Deep diving into the nuts and bolts

Handling null like a pro

While using Collectors.groupingBy, you might encounter null values. Use the might of Optional.ofNullable and Optional.orElseGet to handle them effectively. These classes provide a clean API to handle potential null values.

Layering your groups

For grouping objects based on multiple attributes, consider using nested groupingBy. It provides the power to structure your data in hierarchical groups.

Optimal performance tips

Remember, using groupingBy isn't just about getting the answer. Think about performance optimization. Use the features of Java 8 to write clean, effective, and smart code.

Diving even deeper

Going beyond lists

Although the grouped items are usually presented as List, you may use various types of Collection containers, depending on your specific needs and constraints.

Addressing concurrency

For concurrent programming scenarios, use ConcurrentHashMap for storing groups. The Stream API also supports parallel execution with .parallelStream(). Remember, with great power comes great responsibility, so use with care!

Multiple attribute grouping

Create composite key class or use tuples for grouping with multiple attributes. This comes handy when one attribute simply doesn't cut it.

Expert tips and tricks

The objects as attribute values

If objects serve as your attribute values, ensure that equals and hashCode methods are correctly implemented. This is crucial for the proper functioning of the HashMap, which relies heavily on these methods.

Map-free grouping

You may perform grouping with a stream pipeline and additional operations such as filtering, reducing, or mapping without relying on a map. Java 8 has got your back!

Statistics on groups

groupingBy can do more than mere grouping. Combining it with Collectors.summarizingInt, summarizingDouble, or summarizingLong can offer fascinating insights into your data, including count, sum, min, average, and max.