This article examines seven typical challenges that arise after implementing database sharding—such as global ID conflicts, cross‑shard queries, distributed transactions, shard‑key design, data migration, pagination, and operational overhead—and provides practical solutions and code examples to address each issue.
This article explains the hidden performance costs of traditional OFFSET pagination in MySQL, analyzes why deep paging becomes a bottleneck, and presents keyset (cursor) pagination and other optimization techniques as efficient alternatives for handling massive or frequently changing datasets.
The article shares a senior architect’s experience with large‑scale MySQL tables, discussing why sharding and Elasticsearch were introduced, the pagination bug caused by Sharding‑JDBC, and a comprehensive set of hardware, software, and SQL tuning recommendations, including a full MySQL configuration example.
This article explains what a feed stream is, why it exists, how it evolved from RSS to modern social feeds, classifies different feed models, outlines the challenges of real‑time delivery, and provides a detailed backend architecture, data structures, storage design, pagination strategy, and core publish‑read workflows to help engineers build reliable, high‑performance feed systems.
This article examines how pagination queries on large MySQL tables become dramatically slower as the offset grows, presents real‑world performance measurements, and offers three practical optimization strategies—including selecting only primary keys, range‑based filtering, and using ElasticSearch—to keep query latency low.
This article explains how to convert HTML content—including text, images, and tables—into PDF files using html2canvas and jsPDF, and details a dynamic pagination technique to prevent content truncation across pages, while also covering performance and export considerations.
This article introduces feed streams, explains their evolution from RSS to modern social feeds, classifies them by aggregation logic and display, discusses challenges such as real‑time performance and massive data, and presents a backend architecture with data models, pagination, write/read diffusion, and core publishing/reading workflows.
The article surveys feed‑stream systems—from their RSS roots to modern social‑media timelines—explaining classifications, core terminology, and a high‑performance architecture that uses Redis ZSET inboxes, write‑ and read‑diffusion, soft‑delete consistency, and last‑id pagination to handle massive real‑time writes, big‑V fan‑out, and efficient publishing and reading.
This article demonstrates how to use EasyExcel to efficiently export large volumes of data to Excel by improving performance through pagination, concurrent queries, and custom cell‑merging strategies, including built‑in annotations and WriteHandler implementations, while providing complete Java code examples.
This article walks through nine practical techniques—default filters, smaller page sizes, fewer joins, index tuning, straight_join, data archiving, efficient count(*), ClickHouse offloading, and read/write splitting—to dramatically improve the performance of pagination APIs handling millions of product records.
This article compares four pagination techniques—MySQL LIMIT OFFSET, LIMIT with primary‑key filtering, HasMore scrolling, and Elasticsearch pagination—explaining their implementations, advantages, drawbacks such as deep‑page performance issues, and recommending appropriate scenarios for each method.
This article presents nine practical techniques—including default filters, smaller page sizes, reduced joins, index tuning, straight_join usage, data archiving, count(*) optimization, ClickHouse offloading, and read/write splitting—to dramatically improve the speed and scalability of pagination query interfaces.
Tencent Meeting optimized its “My Recordings” list by replacing offset pagination with cursor‑based seeks, implementing a two‑layer cache separating ID lists from record details, choosing MongoDB for multi‑source aggregation, and adding reliable Kafka‑driven sync, cutting latency from 308 ms to 70 ms while supporting over 700 QPS.
The article demonstrates how combining Java generics with functional programming—using lambda‑based callbacks and generic pagination utilities—can transform repetitive data‑access code into a concise, reusable structure, while also discussing the benefits, trade‑offs, and potential debugging challenges of this approach.
This article explains how to clean up a rapidly growing MySQL log table by batching deletions, handling unindexed type columns, and using a start‑id based pagination strategy that scales from tens of millions to billions of rows without locking the database.
This article explains MyBatis plugins’ core capabilities—SQL rewriting, logging, performance monitoring, transaction enhancement, and result handling—detailing their interception points, the Java dynamic‑proxy implementation, a complete pagination plugin example, typical application scenarios, and practical best‑practice recommendations for developers.
To efficiently purge old user‑operation logs while retaining the most recent three months and preserving type‑c entries, the article recommends abandoning offset pagination and MyBatis PageHelper, using primary‑key‑based pagination with a tracked startId, in‑memory filtering, intelligent startId recalculation, and optional sleep intervals to avoid database overload.
This article explains the challenges of executing full‑table UPDATE statements on large MySQL tables using row‑based binlog replication, analyzes deep pagination issues, and presents a batch‑processing strategy with FORCE INDEX, SQL_NO_CACHE and controlled rate limiting to safely migrate data at scale.
The article analyzes a production out‑of‑memory crash triggered by a pagination bug that misused the OFFSET parameter, explains why the error escaped testing and code review, and presents corrected pagination techniques for Oracle, MySQL and MyBatis to prevent similar failures.
This article explains how PHP's array_slice() function works, detailing its parameters, basic syntax, and providing three clear code examples that demonstrate extracting subsets of arrays, preserving keys, and using the function for pagination.
This article examines why MySQL pagination using large LIMIT OFFSET values becomes increasingly slow, explains the underlying scanning behavior, and presents six practical optimization techniques—including indexed subqueries, cursor‑based pagination, column selection, partitioning, caching, and hardware considerations—to dramatically improve query performance on massive tables.
This article presents a comprehensive collection of Spring Boot best practices—including package structuring, design patterns, starter usage, dependency management, constructor injection, SLF4J logging, pagination, caching, exception handling, naming conventions, and code quality tools—to help developers build more efficient, maintainable, and robust Java backend applications.
This article analyzes a slow MySQL pagination query caused by uneven data distribution and range scans, demonstrates how to examine execution plans and data distribution, and shows that adding a composite index with Index Condition Pushdown dramatically reduces scanned rows and query time.
This article analyzes common anomalies caused by the PageHelper pagination plugin in a Java backend project—such as duplicate user registration, limited query results, and password‑reset errors—traces them to ThreadLocal misuse, explains the internal workflow of startPage, getLocalPage, and clearPage, and offers practical recommendations to avoid these pitfalls.
This article explains why using OFFSET and LIMIT for pagination becomes inefficient on large tables, illustrates the performance impact with examples, and proposes a cursor‑based pagination alternative that leverages indexed primary keys to achieve faster, scalable queries.
The article examines why MySQL LIMIT pagination becomes slower on deeper pages of a 500,000‑row table, analyzes query execution plans, and presents three optimization strategies—ordered index filtering, subquery pagination, and join‑based pagination—to improve performance in real‑world scenarios.
This article explains common MySQL performance pitfalls such as large‑offset pagination, implicit type conversion, inefficient UPDATE/DELETE joins, mixed ordering, EXISTS subqueries, predicate push‑down, early data reduction, and intermediate result set push‑down, and provides concrete rewrites that turn multi‑second queries into millisecond‑level executions.
This article explains why using OFFSET with LIMIT becomes a performance bottleneck on massive tables, demonstrates the inefficiency of full‑table scans, and introduces a faster cursor‑based pagination technique that leverages indexed primary keys for efficient data retrieval.
This article explains how PHP's array_slice() function works, detailing its syntax, parameters, and providing multiple code examples that demonstrate extracting subsets of arrays, preserving keys, and using it for pagination in backend development.
This article explains how OFFSET and LIMIT cause severe performance problems on large tables due to full‑table scans, demonstrates the issue with real‑world examples, and presents a more efficient cursor‑based (keyset) pagination technique as a practical alternative.
This article explains how using a Java thread pool for multithreaded pagination can dramatically speed up large‑scale data queries, outlines thread‑pool concepts and benefits, details ThreadPoolExecutor parameters and work‑queue options, and reviews common rejection policies and built‑in pool factories.
This article explains MySQL recursive queries using WITH RECURSIVE, detailing their structure, execution process, common use cases, and provides a step‑by‑step example with table creation, data insertion, and a paginated hierarchical query.
This article explains how PageHelper's static ThreadLocal pagination parameters can be polluted by exceptions or thread reuse, leading to incorrect query results, and provides detailed analysis of the plugin's internals together with practical solutions such as invoking clearPage() via filters or aspects.
This article analyzes why the total record count returned by PageHelper mismatches the actual number of rows, examines the underlying PageInfo and PageSerializable source code, and provides a concrete solution that avoids type conversion and directly constructs PageInfo from the mapper result to ensure accurate pagination.
This article explains Elasticsearch fundamentals—including clusters, nodes, shards, replicas, segments, routing, indexing, updates, deletions, search flow, pagination methods, and visualization tools—while offering practical optimization recommendations for high‑performance and scalable deployments.
This article explains pagination rationalization in SpringBoot using MyBatis PageHelper, illustrates common unreasonable pagination scenarios, demonstrates a bug caused by page deletion, and shows how a simple two‑line configuration or per‑query setting resolves the issue while detailing the underlying implementation.
This article explains why using OFFSET and LIMIT for pagination becomes a performance bottleneck on massive tables, illustrates the cost of full‑table scans, and introduces a cursor‑based pagination technique that leverages primary‑key ordering for efficient data retrieval.
Unexpected duplicate registrations, truncated query results, and password‑reset SQL errors in a Java backend were traced to PageHelper’s ThreadLocal pagination state persisting across requests when startPage() is called without immediate query execution, so developers should ensure immediate execution or manually clear the ThreadLocal to prevent stale LIMIT clauses.
The article analyzes unexpected behaviors caused by PageHelper in a Java backend project—such as duplicate registrations, limited query results, and password update errors—by dissecting its source code, ThreadLocal usage, and the importance of proper startPage() and clearPage() handling.
The article explains how to use Redis Sorted Sets for efficient pagination, employ Hashes with HSCAN for multi‑condition fuzzy matching, combine both techniques into a unified solution, and apply expiration‑based optimizations to keep the cache lightweight and responsive.
This article examines the challenges of querying massive follower lists stored in MySQL, compares limit‑based pagination with tag‑record and range‑limit methods, and offers practical indexing and query‑optimization recommendations for handling tables containing hundreds of millions of rows.
This article introduces a Vue 3 GridList component that supports responsive grid layouts, server‑side pagination via a request function, and virtual scrolling to render only visible items, providing performance improvements for large data sets while offering clear usage examples and full source code.
This article explains how to create a MySQL database and table, connect to it using PHP PDO, and implement server‑side pagination with configurable page size, total‑page calculation, and navigation links, providing complete code examples for each step.
This guide walks through integrating MyBatis‑Plus with Spring Boot, covering dependency setup, configuration, entity annotations, CRUD operations, pagination, logical deletion, enum handling, automatic field filling, multi‑data‑source support, and testing with concrete code examples and detailed explanations.
This article introduces MyBatis-Plus, an enhancement layer for MyBatis, and walks through its core features—non‑intrusive CRUD, Lambda queries, primary‑key strategies, automatic field filling, optimistic locking, pagination, logical delete, performance analysis, condition builders, and a code generator—providing complete code examples and configuration steps for Spring Boot integration.
When a system’s data grows, MySQL queries can become slow and cause latency; this article presents practical optimization strategies—including query tuning, pagination, join improvements, subquery replacement, order‑by and group‑by enhancements, and count() efficiency—illustrated with sample tables, code snippets, and performance screenshots.
This article recounts three production‑level pagination bugs encountered in a payment system, explains why they occurred—ranging from naive batch processing to MySQL's nondeterministic LIMIT behavior—and shows how proper pagination, ThreadLocal cleanup, and deterministic ordering resolve the issues.
This article explains why MySQL's LIMIT offset,size becomes slower as the offset grows, compares it with LIMIT size, details the internal execution using primary and secondary indexes, discusses deep pagination issues, and presents practical optimization techniques to improve query performance.
This article explains how to achieve conditional fuzzy queries and pagination in Redis by leveraging Sorted Sets and Hashes, detailing command usage, data modeling, combination strategies, and performance optimizations such as expiration and real‑time updates.
This article explains how to use Redis Sorted Sets for efficient pagination, leverages Hashes and HSCAN for multi‑condition fuzzy searches, and combines both techniques with optimization strategies such as temporary ZSet expiration and real‑time update handling to build a practical caching‑layer query solution.
This article introduces MyBatis-Plus, outlines its non‑intrusive features and CRUD enhancements, walks through integrating it with a Spring Boot project, demonstrates entity, mapper and service definitions, explains common annotations, showcases the powerful Wrapper condition builder, and covers pagination configuration for everyday backend development.
This article analyzes the performance problems of LIMIT‑based pagination on massive MySQL tables and presents three progressively more efficient solutions—including a simple LIMIT approach, a tag‑record method using the last primary key, and a range‑limit method with cached min‑ID—along with best‑practice indexing recommendations to keep query latency in the tens of milliseconds even for tables containing billions of rows.
This article explains the core principles and multiple usage patterns of MyBatis PageHelper for pagination, demonstrates code examples, details its internal ThreadLocal and interceptor mechanisms, and highlights common pitfalls with safe versus unsafe practices to ensure reliable data retrieval.
The article recounts three real‑world pagination bugs—batch‑processing loops, misuse of MyBatis PageHelper, and nondeterministic results from identical ORDER BY values—explaining why they occur, how they manifest in production, and concrete fixes to avoid data loss or endless loops.
This article explains the principle of pagination and provides three reusable PHP functions—get_total_pages, get_offset, and generate_pagination—along with example code to calculate total pages, determine record offsets, and render a navigation bar for efficient web page data paging.
This article examines why combining ORDER BY with LIMIT in MySQL pagination can produce duplicate rows on subsequent pages, analyzes the optimizer’s priority‑queue behavior introduced in version 5.6, and presents practical solutions such as using unique sort keys, adding ID ordering, and understanding deep‑pagination limitations.
When a single MySQL table grows to millions of rows, offset‑based pagination becomes painfully slow, so this article explains why, measures the performance impact, and presents three practical sharding‑aware pagination strategies—including global query, jump‑page prohibition, and a two‑step query method—along with concrete SQL rewrites and optimization tips.
This article explains how to create a generic useList hook for Vue 3 that handles pagination, data fetching, filtering, resetting, exporting, and customizable success/error hooks, complete with TypeScript generics and Element‑Plus UI integration.
The article explains how large‑offset (deep) pagination in MySQL and distributed databases degrades performance and increases memory and bandwidth usage, and describes VtDriver's streaming and SQL‑rewrite techniques along with practical recommendations such as range queries and sub‑queries to mitigate these issues.
This article walks through a real‑world incident where a pagination‑related slow‑query caused massive CPU spikes, details the step‑by‑step investigation, and presents several MySQL optimization techniques—including ID‑based queries, sub‑queries, and cursor‑based pagination—that ultimately resolved the performance crisis.
This article explains how to split a massive MySQL table into smaller tables, use the MERGE engine to create a unified view, troubleshoot common errors, and implement efficient pagination across the split tables with example SQL and Java code.
This article explains how Elasticsearch pagination works with from/size, why deep paging can cause performance problems, and compares alternative techniques such as Scroll, Scroll‑Scan, Sliced Scroll, Search After, and point‑in‑time (PIT) searches for handling large result sets efficiently.
The article examines various MySQL pagination strategies—including simple LIMIT clauses, sub‑query approaches, ID‑range filtering, and temporary‑table methods—provides performance measurements on a table with millions of rows, and offers practical recommendations for reducing query latency in large datasets.
This article evaluates MyBatis-Plus (MP) for Java backend development, highlighting its convenient CRUD shortcuts, code examples, maintenance challenges, magic value pitfalls, and recommended practices such as using LambdaQueryWrapper, pagination, and avoiding overly complex SQL within MP.
This article walks through a real‑world MySQL deep‑pagination incident, detailing the timeline, root‑cause analysis, and multiple optimization techniques—including ID‑based queries, sub‑queries, and cursor pagination—that ultimately stabilized the system and eliminated slow‑SQL overload.
This article explains what JSON API is, outlines its key advantages such as compound documents, sparse fieldsets, optional features, pagination and caching, compares it with GraphQL, and illustrates its practical use through a FitBit case study, helping readers decide if it fits their API design needs.
This article explains how to use Redis Sorted Sets and Hashes to achieve pagination, fuzzy multi‑condition queries, and their combination, while also discussing performance optimizations such as expiration and update strategies for generated ZSet collections.
This article explains three MySQL pagination methods—simple LIMIT syntax, MyBatis RowBounds logical pagination, and the powerful MyBatis-PageHelper plugin—detailing their usage, configuration, code examples, and performance considerations to help Java developers efficiently handle large data sets.
This article demonstrates how to generate, insert, and query millions of rows in a MySQL 5.7 table, measures pagination performance under varying offsets and result sizes, and presents several optimization techniques—including sub‑queries, indexed look‑ups, and column selection—to dramatically reduce query latency.
This article explains how to achieve efficient pagination and multi‑condition fuzzy searches in Redis by leveraging Sorted Sets for ordered paging, Hashes with HSCAN for pattern matching, and combining both techniques with caching and expiration strategies to optimize performance.
This article details a real‑world incident of severe pagination slow queries, walks through the timeline of detection, diagnosis, and mitigation steps, and presents multiple MySQL optimization techniques—including ID‑based queries, sub‑queries, scroll queries, and join‑based solutions—to resolve deep pagination performance issues.
This article examines why MySQL LIMIT pagination becomes slower with deeper offsets on a 500,000‑row table, demonstrates the performance impact with concrete queries, and presents three optimization strategies—including using ordered primary keys, subqueries, and join‑based approaches—to reduce scan range and improve query speed.
This article explains the concept of data pagination, compares server‑side and client‑side approaches, outlines their implementation details, advantages and disadvantages, and discusses testing strategies and common issues to consider when handling large data sets in web applications.
This article explains how to implement efficient pagination and multi‑condition fuzzy queries in Redis using Sorted Sets and Hashes, outlines the underlying commands, discusses combining both techniques, and offers optimization strategies such as expiration handling to maintain cache performance.
This article explains three progressively refined approaches to caching paginated list data—directly caching whole pages, caching individual object entries after querying ID lists, and caching both ID lists and object entries—highlighting trade‑offs, implementation details, and performance considerations using Java and Redis.
This article walks through creating a 10‑million‑row MySQL table, measuring pagination performance with LIMIT, and applying practical optimizations—such as index‑based subqueries, ID‑range queries, and column selection—to dramatically reduce query latency on large data sets.
This article explains three progressively finer-grained approaches to caching paginated lists in Java—directly caching whole pages, caching individual objects after retrieving their IDs, and caching both ID lists and object entries using Redis structures—along with code examples and performance considerations.
This article explains how JD.com’s retail shopping‑cart team tackled growing business complexity by redesigning the cart with a full asynchronous architecture, detailing the overall solution, implementation challenges such as fine‑grained retries and monitoring, and the resulting performance gains.
The article details how a finance team tackled a 50‑million‑row MySQL transaction table by analyzing the pre‑split problems, defining split goals, choosing sharding‑jdbc, addressing multi‑datasource transaction and pagination issues, designing a phased migration and rollout plan, and summarizing lessons learned.
This article demonstrates how to generate, insert, and query ten‑million‑row MySQL tables, measures the latency of ordinary LIMIT pagination, analyzes the impact of offset size and result set size, and presents practical optimization techniques such as sub‑query pagination and ID‑range filtering to dramatically improve query speed.
This article walks through creating a 10‑million‑row MySQL table, measuring pagination query times under different offsets and result sizes, and presents practical optimizations such as sub‑queries, ID‑range filtering, and column selection to dramatically improve performance while explaining why using SELECT * is discouraged.
This article shows how to generate tens of millions of rows in MySQL, measure insertion and pagination performance, and apply practical optimizations such as sub‑queries for large offsets and column selection to dramatically speed up queries on huge data sets.
This tutorial shows how to use the MyBatis‑Plus‑Join (MPJ) extension to perform left‑join queries, modify mappers, build queries with MPJLambdaWrapper and MPJQueryWrapper, and add pagination, eliminating the need for manual XML SQL while improving development efficiency.
This article demonstrates how to generate millions of test rows in MySQL, analyzes the performance impact of deep pagination using LIMIT, explains why non‑clustered index lookups cause costly table scans, and presents two optimization approaches—sub‑query ID filtering and key‑set pagination—to dramatically reduce query latency.
The article explains that MyBatis PageHelper performs an extra full‑table count query causing pagination to take over eight seconds on a 10,000‑row table, analyzes the root cause, and provides a concrete solution by customizing the count SQL with a _COUNT method and optimized mapper definitions.
The article shows a straightforward Python + Selenium script, generated by ChatGPT, that logs into a website and verifies pagination, illustrated with code screenshots and brief commentary on the author’s experience finding the problem on Zhihu.
This article explores web pagination across database, backend, and frontend layers, detailing MySQL LIMIT syntax, Java pagination implementations with PageHelper and Spring Data JDBC, and UI approaches using Thymeleaf and Element UI, providing code examples and comparative insights for developers.
This tutorial walks through integrating MyBatis‑Plus into a Spring Boot project, covering dependency setup, configuration of data sources, entity annotations, service and mapper layers, pagination, logical deletion, enum handling, automatic field filling, multi‑datasource support, and testing with full code examples.
This article details a robust solution for exporting massive MySQL datasets—potentially millions of rows—to Excel by leveraging asynchronous processing with jobs or MQ, the memory‑efficient EasyExcel library, pagination, multi‑sheet handling, OSS storage, and WebSocket notifications, ensuring performance and usability.
This article recounts a real‑world MySQL pagination outage, detailing how deep‑page queries caused massive CPU spikes, the step‑by‑step investigation, and the series of SQL redesigns—including ID‑based range queries, sub‑queries, scroll queries and join‑based solutions—that finally restored stable performance.
This article examines how MySQL uses secondary indexes to find the K‑th largest value, analyzes the O(N) time complexity caused by offset pagination, explains the underlying B+‑tree double‑linked list behavior, and presents three optimization strategies—including index covering, pagination redesign, and boundary prediction—to dramatically improve performance.
This article explains how Elasticsearch handles deep pagination, compares the traditional from/size method with Scroll and Search After techniques, details their internal query and fetch phases, provides practical code examples, and offers guidance on choosing the right approach for large‑scale search workloads.
This article analyzes Elasticsearch’s three pagination methods—from/size, scroll, and search after—explaining their internal query and fetch phases, performance trade‑offs for deep paging, and provides Java implementation examples and practical recommendations.
Combining MySQL LIKE fuzzy search with pagination can push exact‑match rows to later pages, causing duplicate brand entries; this article explains the root cause, demonstrates failing queries, and presents several fixes—including adjusting page size, splitting exact and fuzzy queries, and using CHAR_LENGTH and LOCATE functions for custom ordering.
This article examines Elasticsearch's three pagination strategies—basic from/size, scroll-based deep paging, and the newer search after method—detailing their execution phases, performance implications, code examples, and practical recommendations for choosing the appropriate approach based on data volume and real‑time requirements.
This article examines Elasticsearch's deep pagination challenges and presents three practical solutions—basic from/size, scroll API, and search after—detailing their execution phases, performance trade‑offs, code examples, and guidance on when to choose each method for efficient data retrieval.
This article explains why traditional ORDER BY … LIMIT pagination becomes slow on tens of millions of rows, analyzes the underlying index scan cost, and presents two practical optimizations—delayed join using covering indexes and a bookmark‑based approach—showing how they can cut execution time to a third or even a tenth of the original.
This tutorial walks through the front‑end portion of a publishing platform series, demonstrating how to build a Vue 3 and Element‑plus UI with TailwindCSS, implement server‑side pagination via Koa, integrate Axios with proxy and interceptors, and add complete CRUD operations—including create, edit, and delete dialogs—while showcasing the essential code snippets.
This article explains how to handle massive MySQL tables by splitting a single large table into multiple smaller tables, creating a MERGE (union) table to combine them, and using the merged view to implement efficient pagination, including necessary SQL statements and troubleshooting tips.
This article provides a step‑by‑step tutorial on adding MyBatis‑Plus to a Spring Boot project, covering dependency setup, configuration, entity annotations, CRUD operations, pagination, logical deletion, enum handling, automatic field filling, multi‑datasource support, and testing with full code examples.
