Dmitry Leskov
 

The Finite Laziness of Scala Streams

The official Haskell wiki discusses literally dozens of ways to produce a list of prime numbers, but the one that caught my attention the other day is not listed there. Its centerpiece is a fold of a recursively defined infinite list of infinite lists (lists are lazy in Haskell). In this post, I’ve documented my attempt to rewrite it in Scala using streams.

Scala Stream Hygiene III: Scalaz EphemeralStream Fills Quite A Canyon

Scalaz, an open-source pure functional programming library for Scala, provides the EphemeralStream class that does not exhibit the memory leak issues inherent to the standard scala Stream. However, it carries its own set of problems: memory overheads, performance penalties, and application disk footprint increase.

Scala Stream Hygiene II: HotSpot Kicks In

Infinite Scala streams should be marked “not for production use”, even though you can get away with breaking most of the rules listed in Part I.

Scala Stream Hygiene I: Avoiding Memory Leaks

The standard Scala Stream class is essentially a lazy List with memoization. However, memoization is undesirable when defining infinite data structures. It is possible to avoid memoization of streams by following a set of five rules, described in this first post in a 3-part series.

|