1 views collected around this technical thread.
This article provides an in‑depth overview of Glide 4.11, covering its basic usage, the four‑step request lifecycle, six‑step image loading flow, caching mechanisms, initialization, configuration options, and common interview‑style questions for Android developers.
The article explains that Android OOM crashes often stem from oversized bitmaps, showing how a 36 KB image can consume 2.4 MB RAM, compares Glide and Picasso scaling, recommends using appropriate bitmap configs (ARGB_8888 vs RGB_565), matching image dimensions to view size, and provides Kotlin Glide module code for dynamic format selection to optimize memory usage.
This article provides an in‑depth tutorial on Glide 4.11, covering its basic usage, the four‑step decode task startup, six‑step image loading flow, caching mechanisms, initialization process, and extensive configuration options for Android developers.
The article dissects Glide’s lifecycle management by tracing how Glide.with creates a singleton RequestManager via RequestManagerRetriever, caches headless RequestManagerFragments, forwards Activity/Fragment callbacks through ActivityFragmentLifecycle to pause, resume, or clear image requests, monitors network changes with a ConnectivityMonitor, and responds to memory pressure via component callbacks, thereby integrating Android component lifecycles, connectivity, and memory management into its image‑loading engine.
The article dissects Glide’s five‑level caching system—active resources, memory cache, resource and data disk caches, and network cache—explaining how active weak references feed the LRU memory cache, how DiskCacheStrategy governs transformed and raw data storage, and how I/O and network tasks run on separate executors while network responses are cached before delivery.
The article analyzes an OOM issue in the Beike Android app caused by large image memory usage, compares Picasso and Glide memory footprints, describes the refactoring effort required to switch libraries, explains Glide's two‑level caching mechanism, and highlights the performance and stability benefits for pre‑Android 8.0 devices.