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# What is a subsized stream? - Cracking the Java Coding Interview #javacoding #javatips

**[Java \(Official Oracle\)](https://daily.dev/sources/java-oracle)** · 1 min read · 3 upvotes · 0 comments

## Summary

Explains the concept of 'sub-sized' streams in Java, where splitting a stream into sub-streams still allows knowing the element count of each part. Lists give sub-sized streams while sets do not, due to their internal array structure. Concludes with a caution about parallel streams: only use them with easily splittable data sources, and even then, consider whether they actually improve performance.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=WLsaE5eC9k8>

## Questions this post answers

### What does it mean for a Java stream to be sub-sized?

A sub-sized stream is one where, after being split into sub-streams, the exact number of elements each sub-stream will process is still known. A stream is 'sized' when the total element count is known upfront, such as a stream from a collection where size() gives that count; it is 'sub-sized' if splitting it preserves that knowledge for each resulting part.

_Developers weighing parallel stream tradeoffs can find deeper java stream internals explainers curated on daily.dev._

### Why do lists produce sub-sized streams but sets do not?

Splitting a list into two sub-lists gives a predictable count of elements in each half, so lists produce sub-sized streams. Sets do not, because splitting a set means splitting its internal array, and the number of elements landing in each resulting sub-array is unpredictable, potentially even zero in one part and all elements in the other.

_Anyone choosing a collection type for parallel processing can track these java data structure nuances on daily.dev._

### When should I avoid using parallel streams in Java?

Avoid parallel streams when the data source is not easily splittable, since splitting the source is exactly what parallel streams rely on to distribute work. Even when a source is splittable, such as a list, parallelism should be considered carefully beforehand, since it can actually hurt application performance rather than improve it.

_Teams deciding whether parallel streams fit their workload can follow practical java performance guidance on daily.dev._

## Similar posts on daily.dev

- [High-performance programming with Java streams](https://daily.dev/posts/high-performance-programming-with-java-streams-sh9mglzje) · InfoWorld · 0 upvotes · 0 comments

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