The article examines common pitfalls of naïve ad insertion in short‑video feeds, explains how cursor‑based pagination prevents duplicate ads, and outlines a client‑side mixing architecture that isolates services, meets strict latency requirements, and ensures accurate ad billing.
This article dissects the performance collapse of classic LIMIT‑OFFSET pagination on tables with hundreds of millions of rows, explains the underlying execution steps, presents benchmark data, and walks through a progressive set of solutions—including index tuning, Seek pagination, Cursor pagination, and sharding—complete with Go code examples and practical trade‑offs.
This article explains why deep pagination hurts performance in large datasets, demonstrates the inefficiency of offset‑based SQL queries, and presents practical alternatives such as cursor pagination, sub‑query optimizations, delayed joins, caching, business limits, and the Elasticsearch Search After technique for stable, scalable paging.
This guide walks a new e‑commerce developer through the evolution of order data synchronization—from naïve full‑table loads, through incremental and batch strategies, cursor‑based pagination, performance tuning, and finally to real‑time CDC with message queues—highlighting pitfalls and practical solutions.
This article examines the performance pitfalls of MySQL deep pagination and presents six practical optimization methods—including cursor‑based pagination, deferred joins, covering indexes, table partitioning, precomputed pages, and Elasticsearch integration—to dramatically speed up large‑scale order queries.
This article dissects the performance problems of MySQL deep pagination, explains why OFFSET‑based queries become increasingly costly, and presents six practical optimization strategies—including cursor pagination, deferred joins, covering indexes, partitioning, precomputed pages, and Elasticsearch integration—to dramatically speed up order‑lookup queries in large e‑commerce databases.
This article explains the challenges of loading historical chat messages in an instant‑messaging app and demonstrates why traditional offset pagination fails, then introduces cursor‑based pagination with SQL examples and best‑practice guidelines for reliable incremental loading.
This article presents a real‑world case study of optimizing massive batch‑processing tasks in an ad‑platform by applying query‑level improvements, cursor‑based pagination, shard‑aware batch updates, JVM‑tuned garbage collection, and distributed load‑balancing, ultimately reducing CPU usage from 80% to under 2% and cutting query‑per‑minute volume from millions to a few thousand.
This article explains how cursor‑based pagination avoids the heavy cost of offset/limit queries by using database cursors, shows practical API examples, compares query plans, and discusses why cursors improve performance and consistency for deep pagination in backend systems.
This article explains why traditional OFFSET/LIMIT pagination becomes inefficient with large tables, illustrates its performance drawbacks with real examples, and introduces a high‑performance cursor‑based pagination method that leverages indexed primary keys to dramatically speed up data retrieval.
This article explains the differences between traditional page‑number pagination and infinite‑scroll (streaming) pagination, compares their characteristics, and provides detailed front‑end and back‑end implementation methods along with common pitfalls and optimization techniques such as caching, cursor‑based paging, and client‑side deduplication.
