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Table of Contents
Basic usage: merge multiple streams into one stream
Applicable scenario 1: Handling nested collection structure
Applicable scenario 2: String segmentation and combination
Tips: The difference between flatMap and map
Home Java javaTutorial How to use Java Stream flatMap()?

How to use Java Stream flatMap()?

Jul 11, 2025 am 03:17 AM
flatMap

The purpose of flatMap() is to convert each element in the stream into a new stream and merge it into a unified stream. Its core uses include: 1. Processing nested collections, such as flattening List> into List; 2. Split and combine strings, such as splitting strings by spaces or commas and collecting all words or tags; 3. Used differently from map, map is a one-to-one map, while flatMap is a one-to-many map, suitable for scenes where one element needs to generate multiple elements.

How to use Java Stream flatMap()?

Java's Stream.flatMap() is a very useful but confusing method at the beginning. Simply put, its function is to convert each element in the stream into a new stream, and then "flat" these streams into a unified stream output. It is often used to process nested structure data, such as lists of lists, string splitting, etc.

How to use Java Stream flatMap()?

Basic usage: merge multiple streams into one stream

Suppose you have a List<string></string> where you want to split each string into words by spaces, and finally get a stream of all words:

 List<String> sentences = Arrays.asList("hello world", "java stream flatmap");
List<String> words = sentences.stream()
    .flatMap(s -> Arrays.stream(s.split(" ")))
    .collect(Collectors.toList());

The key point here is: split(" ") turns each sentence into an array, while Arrays.stream(...) turns the array into a stream. flatMap() "stitches" these streams instead of forming a stream of streams ( Stream<Stream<String>> ).

How to use Java Stream flatMap()?

Applicable scenario 1: Handling nested collection structure

One of the most common usage scenarios is to deal with nested collection structures, such as List<List<T>> , which you want to turn into a flat List<T> :

 List<List<Integer>> nestedLists = Arrays.asList(
    Arrays.asList(1, 2),
    Arrays.asList(3, 4),
    Arrays.asList(5)
);

List<Integer> flatList = nestedLists.stream()
    .flatMap(List::stream)
    .collect(Collectors.toList());

This allows you to easily flatten the multi-layer structure without manually traversing each sublist and adding it to the results.

How to use Java Stream flatMap()?
  • Use List::stream to convert each sublist into a stream directly
  • flatMap automatically merges these streams into one whole

Applicable scenario 2: String segmentation and combination

In addition to handling collection nesting, flatMap is also very convenient when processing strings. For example, you have a set of text lines, each line has multiple comma-separated tags, and you want to extract all tags and deduplicate them:

 List<String> lines = Arrays.asList("java,stream", "flatmap,example", "java,functional");

Set<String> uniqueTags = lines.stream()
    .flatMap(line -> Arrays.stream(line.split(",")))
    .collect(Collectors.toSet());

In this example:

  • Each line is split into a string array
  • Then convert to stream through Arrays.stream(...)
  • Finally, all streams are flattened and collected into a Set to complete the dereload.

Tips: The difference between flatMap and map

Many beginners will confuse map and flatMap , but the difference is actually very simple:

  • map is a one-to-one mapping: one element becomes another element
  • flatMap is a one-to-many mapping: one element becomes multiple elements (returned as streams)

If you use map to process the examples like the one above, you will get a structure like Stream<stream>></stream> , and then you have to process another layer of stream, which will be even more troublesome.


Basically that's it. The key to mastering flatMap is to understand that it is a tool used to "expand" multiple streams, rather than a simple data transformation. As long as you encounter a scenario where you need to break up and merge, you can consider it.

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