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Languages & runtimes · #clojure
Learn how to diagnose and resolve memory leaks in Clojure caused by lazy sequence head retention, including heap dump analysis and realization strategies.
Transducers compose reducing functions into a single-pass pipeline, eliminating intermediate sequences for large or infinite Clojure data.
Learn how Clojure transducers let you compose map, filter, and take without creating intermediate collections, reducing allocation and enabling constant‑space processing.
When building millions‑element vectors in Clojure, repeated immutable updates can kill performance. Transients give a mutable view that lets you bulk‑construct efficiently. This blog explains how, with a concrete 10 million‑int example, and outlines the trade‑offs you must consider.
Learn how to use Clojure’s transient collections to speed up tight loops that build huge vectors. This guide walks through the steps, checks, and recovery options for safe, high‑performance code.
Use core.async channels and go blocks to coordinate Clojure work with blocking-style syntax while parking threads, not blocking OS threads.
Transducers detach a transformation from its source and sink. Define one pipeline with comp, then run it through into, sequence, and transduce.
Learn how to use clojure.spec to validate data shapes and instrument function contracts, with a worked example, runtime limits, and common mistakes to avoid.
Learn how core.async channels and go blocks coordinate asynchronous work, choose the right buffer for back-pressure, and avoid the most common production mistake: blocking inside a go block.