The article chronicles the twelve‑year evolution of China’s Database Technology Conference (DTCC), showing how it transformed isolated DBA communities into a collaborative ecosystem, introduced new topics such as cloud and NoSQL, and enabled figures like 那海蓝蓝 to shape the nation’s database engineering landscape.
The 17th China Database Technology Conference (DTCC 2026) ran from August 20‑22 in Beijing, gathering top experts to discuss database kernel innovations, cloud‑native and distributed practices, AI‑driven data, vector databases, real‑time warehouses, and the emerging Agent era, while showcasing cutting‑edge solutions from Dameng, Tencent Cloud, Alibaba Cloud, OceanBase and GoldenDB.
The article explains that NL2SQL translates natural language into SQL queries, offering a narrow but reliable form of data‑centric programming, while highlighting its boundaries, recent multi‑step extensions, and its role within broader natural‑language‑to‑code ecosystems.
This article explains the four fundamental SQL JOIN types, shows when to use each in real business scenarios, and provides a step‑by‑step example that creates tables, inserts data, and demonstrates LEFT and INNER JOIN queries with practical tips for readability.
The article analyzes why network timeouts, client retries, user double‑clicks, and at‑least‑once MQ delivery cause duplicate intents, then details five practical idempotency techniques—conditional updates, unique constraints, Idempotency‑Key tokens, state machines with optimistic locks, and distributed locks—along with their trade‑offs and monitoring tips.
The article presents a systematic, three‑layer approach to uncovering root causes of database performance test failures, illustrating each step with real‑world financial and e‑commerce case studies, key metrics to monitor, reproducible fault injection techniques, and a baseline‑driven change‑gate process.
This article explains how the SQL UPDATE statement modifies existing rows, emphasizes the necessity of a WHERE clause to avoid full‑table changes, provides single‑row, batch, and multi‑column examples, and advises verifying data with SELECT before executing updates in production.
Redis Cluster enforces a single database (DB 0) because its slot‑based sharding model relies on a global 16,384‑slot map, and supporting multiple databases would break slot consistency, migration, and scalability, so developers must use key prefixes, separate instances, or multiple clusters to achieve logical isolation.
DBX is a 20 MB open‑source database client that supports over 70 databases, runs natively on macOS, Windows and Linux, and includes an AI SQL assistant, offering a faster, cheaper alternative to Navicat and DBeaver for backend and ops engineers.
When query results appear unordered, the SQL ORDER BY clause lets you instantly arrange rows by ascending or descending values—such as timestamps, amounts, or multiple fields—providing clean, organized output for latest‑first displays, statistical sorting, and tidy list presentations.
As enterprises add more systems, data volumes explode while accessing it becomes harder; this article defines data architecture, explains how databases, data warehouses, data lakes, and data middle platforms each solve distinct layers, and outlines the key questions and challenges for building a unified, reusable data ecosystem.
This tutorial explains the purpose of the SQL INSERT statement, compares column‑specified and full‑field syntax, shows single‑row and batch‑row examples using a UserInfo table, and highlights common pitfalls such as column‑value ordering, quoting rules, and auto‑increment IDs.
The article explains that in a LEFT JOIN the ON clause determines how rows are matched but never filters out rows from the left table, while a WHERE clause is applied after the join and can remove left‑table rows, illustrated with concrete SQL examples and step‑by‑step analysis.
This article examines the trade‑offs of UUID, ULID, and Sqid for PHP applications, explaining their designs, storage implications, ordering behavior, security considerations, and provides concrete code examples and a decision‑flow to help developers pick the right identifier for their use case.
This article walks MySQL developers through the essential architectural, schema, data‑type, SQL‑dialect, transaction, vacuum, indexing, and extension differences when moving to PostgreSQL, providing concrete examples, code snippets, and best‑practice recommendations to avoid common pitfalls.
This article reviews five standout open-source tools—Turbovec for Rust-based vector search, Larql as a high-performance GraphQL engine, GoNavi a lightweight multi-source database client, Canvas UI a WebGL-enhanced HTML component library, and Kero a native macOS terminal workspace—highlighting their design choices, performance benefits, and ideal use cases.
The article explains the differences between database sharding, table sharding, and combined sharding, outlines interview expectations, details vertical and horizontal splitting strategies, discusses when to apply each technique, and reviews practical tools such as ShardingSphere and MyCat for Java projects.
The article provides a detailed 2026 H1 review of global database trends, highlighting the shift to AI‑native and lake‑house architectures, summarizing major version releases across RDBMS, NoSQL, big‑data ecosystems and domestic solutions, and analyzing their technical features, compliance, performance and market implications.
Many enterprises with ERP, CRM and other systems mistakenly treat a data warehouse as just a larger database, but the article explains that databases support transaction processing while data warehouses provide a stable, unified analytics layer, detailing their distinct goals, architectures, layer designs and the critical role of reliable data integration.
The article explains what SQL Server 2012 stored procedures are, outlines their core advantages, provides a reusable syntax template, walks through three practical examples (no‑parameter, parameterized, and default‑parameter procedures), and covers how to alter, drop, appropriate use cases, and common beginner mistakes.
The article explains why disaster‑recovery is essential for architects, defines backup versus DR, introduces RPO/RTO, examines key pitfalls such as sync‑async trade‑offs and split‑brain, compares cold, warm, hot and active‑active setups, and traces the technical evolution from manual tape copies to modern consensus‑based multi‑active geo‑replication.
The pgrust project rewrites PostgreSQL's core in Rust, passes all 46,066 official regression tests, supports standard SQL and the psql client, but remains experimental, exploring a thread‑per‑connection model and showcasing how AI‑driven coding can lower the cost of large‑scale infrastructure rewrites.
The article identifies eight easy-to-overlook SQL habits—such as using SELECT *, applying functions on indexed columns, careless LIKE patterns, improper IN/OR logic, deep offset pagination, unconditional UPDATE/DELETE, excessive indexing, and ignoring execution plans—that can cause slow queries, lock tables, index failures, and even data loss, and provides concrete examples and safer alternatives.
Most slow SQL statements stem from poor query writing—such as index‑breaking functions, implicit type casts, leading wildcards, unnecessary column selection, improper joins, sorting, grouping, and pagination—rather than merely the size of the data, and the article shows how to diagnose and fix each issue.
This article introduces time‑series databases, explains their core characteristics and typical use cases, and provides detailed overviews of InfluxDB, TimescaleDB, and Prometheus—including data models, query languages, configuration examples, and code snippets for practical integration.
This article explains what serverless databases are, compares them with traditional databases, and provides detailed overviews, core concepts, and code examples for four major services—PlanetScale, Neon, Supabase, and Turso—highlighting features such as automatic scaling, pay‑as‑you‑go pricing, and global replication.
Milvus 3.0 replaces the dual‑track write path of 2.x with a unified WAL‑first design, introduces a three‑layer channel model (PChannel, VChannel, CChannel) and a five‑layer interceptor chain, adds the Woodpecker WAL that outperforms Kafka/Pulsar by up to 5.8×, and provides pluggable back‑ends, atomic broadcasting, and provable recovery mechanisms.
This article presents a 21‑day learning roadmap for the Shifen Architect certification, covering system architecture fundamentals, database and high‑frequency topics, case analysis, and software engineering, with suggested study order, methods, and key concepts for each day.
This article explains why a single‑node Redis deployment is a single‑point‑of‑failure and walks through building a highly available Redis cluster using master‑slave replication, Sentinel monitoring and automatic failover, split‑brain prevention, production deployment guidelines, common pitfalls, and client‑side connection strategies.
This roundup highlights 17 notable GitHub open‑source projects that gained traction in June, spanning computer‑vision toolkits, AI‑driven video production, product‑manager skill markets, multi‑agent development environments, lightweight database clients, Apple‑optimized containers, code‑base knowledge graphs, NVIDIA's world‑model platform, Alibaba's in‑process vector DB, and a collection of Windows‑focused AI utilities.
This article walks through building a production‑grade webhook system with Spring Boot 3.5, covering webhook fundamentals, a decoupled event‑driven architecture, database schema, entity and repository definitions, a dispatcher service with HMAC signing, exponential‑backoff retry, asynchronous execution, and dead‑letter handling.
This article walks through a systematic, step‑by‑step troubleshooting guide for MySQL "Too many connections" errors, showing how to verify the symptom, inspect server variables, analyze connection status, identify common root causes such as connection‑pool misconfiguration, leaked connections, and long‑running queries, and apply safe fixes and preventive measures.
This guide lists the twenty most frequent pitfalls that new operations engineers encounter, explains why they happen, and provides step‑by‑step safe practices, code examples, risk classifications and a verification checklist to help prevent costly outages and data loss.
The article analyzes why traditional LIMIT/OFFSET pagination fails when data is split across multiple databases, presents a global query approach with its trade‑offs, and proposes an optimized "no‑skip" method plus practical tips using ShardingSphere and Elasticsearch.
The article explains that idempotency prevents the same operation from being executed twice, illustrates a real double‑charge bug, evaluates five concrete approaches—including Redis check‑then‑set, DB unique index, optimistic lock, Redis distributed lock, and a message deduplication table—details their failure conditions and suitable scenarios, and recommends combining Redis lock with a database unique index for the most robust protection.
Fifteen years after an internship at Nanda Tongyong, the author returns as an external expert to reflect on personal growth, the evolution of the GBase product line—from the early MPP database to AI‑native HTAP solutions—highlighting technical innovations, benchmark results, and the broader impact on the domestic database ecosystem.
The article traces how low‑level programming harnesses—from ENIAC wiring and punch‑card code to assembly, compilers, operating systems, database optimizers, and memory‑management techniques—have been progressively abstracted away by tools, type systems, and language semantics, highlighting what has been "eaten" and what still requires manual expertise.
When network timeouts or retries cause the same payment request to be processed multiple times, duplicate requests become a common failure mode in distributed systems; this article explains five practical idempotency strategies—unique DB indexes, token checks, state machines, Redis SETNX, and downstream dedup tables—and offers guidance on choosing the right approach.
Dolt is an open‑source, MySQL‑compatible database that embeds Git’s version‑control model, letting you commit, branch, merge and audit table data just like source code, with simple installation, CLI commands, SQL stored procedures, GitHub remote support, and CI integration.
This article offers a comprehensive 2026 overview of Redis commands, organized by function, with clear usage examples, return values, performance notes, and best‑practice recommendations such as avoiding KEYS in production and using SCAN, making it a practical reference for developers and architects.
The article explains why dirty data appears in API automation tests, outlines five practical cleanup strategies—including teardown, setup, transaction rollback, unique ID isolation, and data‑factory soft deletes—and provides a complete Pytest‑based Python implementation with code examples and special‑case handling to keep test environments clean and reliable.
The article argues that a 100% accuracy claim for Text2SQL is misleading without considering stability, coverage, and pass‑rate metrics, and it details a deterministic NLQ pipeline that converts natural language to a verifiable intermediate format before rule‑based SQL compilation.
This article provides a detailed walkthrough of the 15 most commonly used Redis commands—including key, hash, list, set, sorted‑set, and monitoring operations—showing syntax, return values, typical use cases, performance characteristics, and cautions for production environments.
The article explains why many developers stuck with MySQL should consider PostgreSQL, highlighting its superior SQL standards support, MVCC concurrency, rich indexing, JSONB performance, full‑text search, extensive extensions, and practical installation and Java integration steps, while also comparing pros, cons, and ideal use cases.
The fourth national security and reliability test released on May 26, 2026 lists 23 certified database products, highlighting a surge in Level II certifications, the entry of time‑series NoSQL databases, and a diversification of vendors—including telecom and fintech players—signaling a major shift in China's domestic database market.
SQLite, the server‑less, single‑file database engine, is the most widely deployed database on the planet, powering Android, iOS, browsers and countless desktop apps; this article walks through its core features, Linux installation, command‑line CRUD, language bindings for Python, C, Java and Go, plus practical backup and performance tricks.
The 2026 XCOPS Intelligent Operations Conference in Guangzhou gathered leading scholars, industry experts, and technology innovators to explore AI‑driven operational upgrades, database intelligence, cloud‑native observability, and multi‑agent architectures, with detailed talks, case studies, and practical roadmaps shared by speakers from academia, finance, and major tech firms.
The article analyzes why duplicate consumption is inevitable in MQ systems, defines message idempotency, and presents four practical solutions—including Redis SETNX, database unique indexes, state‑machine with optimistic locking, and global unique constraints—along with their pros, cons, and best‑practice guidelines for SpringBoot applications.
A veteran Java developer took a 5‑wan‑yuan retail project, relied on an end‑to‑end AI code generator for a month, then faced chaotic project structures, security flaws, and massive refactoring before discovering FeiSuan JavaAI's multi‑agent workflow that finally turned the disaster into a deliverable.
This article presents thirty practical SQL optimization tips, covering index usage, avoiding full‑table scans caused by operators like !=, NULL checks, OR, LIKE, IN, functions, and expressions, as well as best practices for temporary tables, cursors, and transaction size to improve database performance.
The article explains why a simple JVM lock fails in multi‑instance services, illustrates the overselling problem with an e‑commerce example, and then compares three practical distributed‑lock solutions—database‑based, Redis‑based, and ZooKeeper‑based—detailing their mechanisms, strengths, weaknesses, and suitable scenarios.
The article explains the causes of duplicate requests in distributed systems, defines idempotency, and presents eight concrete implementation strategies—including token mechanisms, unique database indexes, optimistic and pessimistic locks, distributed locks, state machines, request serial numbers, and MQ‑based handling—each with code samples, advantages, drawbacks, and usage guidelines.
This article walks through the rationale, common functions, and real‑world case studies of storing and querying JSON columns in a relational database, exposing issues with null handling, batch updates, and dynamic SQL generation, and presents step‑by‑step debugging and robust solutions.
This article explains why MySQL deadlocks occur, shows how to enable and read deadlock logs, walks through three real‑world case studies, and provides practical SQL, configuration, and architectural solutions to resolve and prevent deadlocks in production environments.
ScopeDB introduces a cloud‑native, real‑time analytics database that combines structured core columns with a flexible JSON column, adaptive indexing, a custom query language (ScopeQL), and true compute‑storage separation, delivering sub‑second query latency, high throughput, and up to 70% cost reduction compared with traditional big‑data stacks.
This article walks you through a systematic, step‑by‑step process for diagnosing and fixing MySQL CPU usage spikes—from identifying the symptoms and gathering system metrics, to pinpointing problematic queries, analyzing locks and buffers, applying index and configuration tweaks, and validating the performance gains with real‑world examples and command‑line tools.
This article compiles a curated list of production‑ready Go packages covering testing, logging, error handling, caching, databases, HTTP routing, HTTP clients, fault tolerance, Kafka, and various utility libraries, explaining their key features, concrete code examples, and why they are preferred in real‑world services.
The article argues that relying on many specialized databases creates operational complexity, higher costs, and maintenance overhead, while PostgreSQL’s extensible ecosystem—offering full‑text search, vector, time‑series, JSONB, and more—delivers comparable or superior algorithms, proven performance, and a simpler, more reliable stack for the vast majority of use cases, especially in AI applications.
This article analyzes the challenges of automatically cancelling unpaid orders after 30 minutes in high‑traffic e‑commerce systems and compares three production‑grade approaches—simple scheduled polling, RabbitMQ delayed queues, and a time‑bucket plus MQ strategy—detailing their architectures, code, trade‑offs, and best‑practice recommendations.
The article argues that for typical file‑upload scenarios you should upload to MinIO first and then write to the database without trying to enforce strong distributed consistency, explaining the pitfalls of transaction‑based solutions and offering simple async cleanup strategies.
When sharding databases, independent auto‑increment IDs can collide, causing data integrity issues; this article explains why the conflict occurs and walks through five practical solutions—including UUID, custom auto‑increment steps, segment mode, Snowflake, and Meituan Leaf—detailing their trade‑offs, performance, and implementation steps.
IntelliJ IDEA already covers about 80% of development needs, but its rich plugin ecosystem lets you fine‑tune your workflow like a custom Vim setup; this article reviews essential plugins—including AceJump, Catppuccin Theme, CodeGlance Pro, Edit‑Tabs‑Location, GenerateAllSetter, GitHub Copilot, Inspection Lens, MyBatis Log Free, Power Mode II, IdeaVim, and Rainbow Brackets—detailing core features, configuration tips, and trade‑offs to help you choose wisely.
This article outlines a comprehensive, risk‑controlled SOP for migrating business data—including model changes, storage shifts, incremental dual‑write, back‑filling, full and incremental consistency checks, read‑switching, and final decommissioning—backed by concrete SQL examples and visual diagrams.
This step‑by‑step guide shows how to create a natural‑language database query assistant using Dify by preparing a test MySQL database, creating a read‑only user, installing the Dify database plugin, configuring the connection, building an Agent with a strong SQL‑capable LLM, setting prompts, adding Text‑to‑SQL and SQL‑Execute tools, testing simple, filtered and aggregate queries, and finally extending to multi‑table scenarios.
This article explains why naïve per‑record inserts or updates in SpringBoot cause severe performance problems, analyzes three common mistakes, and demonstrates how MyBatis batch processing—through connection reuse, prepared‑statement reuse, and batch transaction commits—can speed up operations by tens of times, with practical code examples and configuration tips for handling millions of rows.
This article explains the shift from Redis's traditional single‑threaded model to the multithreaded I/O architecture introduced in Redis 6.0, detailing core design principles, performance benchmarks, Go code simulation, interview questions, and practical tuning tips for high‑concurrency workloads.
This guide walks you through identifying why MySQL CPU usage jumps, from confirming the MySQL process consumes CPU to checking connection counts, slow queries, lock waits, configuration settings, and business‑level traffic, and then provides short‑term mitigations and long‑term solutions such as read‑write splitting, sharding, and caching.
This article provides a comprehensive analysis of Redis persistence mechanisms—including RDB snapshots, AOF append‑only logs, and the hybrid RDB+AOF mode—covering their architectures, trigger methods, performance trade‑offs, rewrite processes, interview‑focused questions, and practical recommendations for production environments.
The Chinese database sector has moved beyond the question of whether domestic products exist to a fierce survival race where legacy system weight, migration engineering, and ecosystem strength determine which vendors can become lasting, cloud‑native, and AI‑ready infrastructure assets.
An online payment service suffered invisible data loss and lock timeouts because a newly deployed business branch failed to commit its transaction, leading to polluted connections that were reused by other services, and the article explains the root cause, debugging steps, code fixes, and preventive measures.
This article analyzes JD's self‑developed database kernel DongSQL, describing its architecture, the challenges of overload, flash‑sale write spikes, cache consistency, execution‑plan drift, and thread congestion, and explains how hint‑based limiting, RETURNING syntax, statement outlines, and a built‑in thread pool address each issue.
The article explains how Java 26’s native support for RFC 9562 UUIDv7 provides an ordered, unique, and standards‑compliant distributed identifier, compares it with traditional UUIDs and Snowflake, shows the new API usage, highlights hidden pitfalls, and offers practical best‑practice guidelines for production deployment.
This guide walks through a real‑world MySQL CPU‑spike incident, explains why CPU usage skyrockets, classifies root‑cause patterns, provides a 15‑minute emergency SOP, and presents long‑term engineering, architectural, and configuration fixes to prevent future overloads.
Random UUID primary keys cause severe B‑tree write performance degradation due to low cache locality, while the new UUIDv7 format embeds timestamps for sortable, efficient inserts, and JDK 26 introduces a native API to generate them, offering a practical solution for Java back‑ends.
A mysterious payment failure where orders appeared successful but were never persisted was traced to a missing transaction commit in a special code path, leading to polluted connections that silently broke subsequent transactions, and the article explains the root cause, debugging steps, fix, and preventive measures.
This article presents a comprehensive guide to 16 practical Redis use cases—including caching, distributed locks, global IDs, counters, rate limiting, bitmaps, shopping carts, timelines, message queues, lotteries, likes, product tagging, filtering, follow‑recommendation models, and ranking—complete with code snippets and data‑structure examples.
This article experimentally compares MySQL JOIN and IN (separate queries) across small, medium, and large data sets, providing PHP benchmark code, performance results, and practical conclusions on when each approach is more efficient.
In 2026 the database ecosystem faces fierce competition between MySQL and PostgreSQL, while AI emerges as a new driver prompting open‑source projects like AliSQL to release DuckDB, vector engines and intelligent CLI, reshaping how relational databases serve both transactional and analytical workloads.
An online payment outage was traced to a forgotten transaction commit in a Spring service, leading to polluted connections that silently blocked subsequent orders, and the article explains the root cause, debugging steps, quick fix, and preventive measures to avoid similar bugs.
This article analyzes the severe replication‑delay issues in MySQL master‑slave setups, identifies four typical workload patterns that cause lag, demonstrates how AliSQL's AI assistant pinpoints the root causes, and explains the kernel‑level optimizations that completely remove the delay.
This article breaks down Redis performance limits, showing that a single node can handle roughly 100‑200k simple GET/SET QPS and up to 500‑700k with multithreaded I/O, while sharded clusters can theoretically reach millions of QPS, though practical factors affect the actual throughput.
Google’s newly released Room 3.0 Alpha marks a landmark rewrite that transforms the Android‑only persistence library into a Kotlin Multiplatform solution, introducing package renaming, KSP‑only processing, coroutine‑first APIs, and experimental web support, while providing detailed migration steps and new features such as custom DAO return types.
This article reviews the Qoder JetBrains plugin, explaining its memory‑perception and dual‑engine architecture, detailing installation steps, showcasing an end‑to‑end Spring Boot voting app generated by the AI, and discussing model choices and practical benefits for Java developers.
This article explains how to store and query extensible JSON columns in a MySQL‑based system, lists the most useful JSON functions, walks through several real‑world scenarios—including dynamic extension queries and weight‑management cases—identifies subtle bugs caused by null values, and presents step‑by‑step SQL and MyBatis fixes to ensure reliable batch updates.
A newcomer replaced MyBatis with MyBatis‑Plus in an old MySQL‑based project, encountered a "Conversion not supported for type java.time.LocalDateTime" error, traced it to MyBatis 3.5.1 dropping built‑in type handling and an outdated mysql‑connector‑java driver, and resolved it by upgrading the driver while also fixing a related validation bug that caused production failures.
This article explains why using SELECT * does not automatically invalidate MySQL indexes, explores common scenarios that cause index loss such as left‑most prefix violations, function calls, implicit type conversions, wildcard LIKE patterns, OR/IN/NOT IN misuse, and ORDER BY pitfalls, and provides practical optimization recommendations with concrete SQL examples and verification methods.
The article examines why traditional manual or full‑backup test data creation becomes a performance bottleneck in modern micro‑service, TB‑scale environments, identifies three structural imbalances—data‑dependency, generation‑logic, and semantic redundancy—and presents a three‑layered optimization framework plus engineering best‑practices that can cut data‑prep time by up to 68%.
This article explains how Lance's Python API creates scalar and vector indexes, walks through the internal Rust implementation of the create_index workflow, and details the transaction, commit, and error‑handling mechanisms that ensure atomic and consistent index creation.
This guide explains why MySQL replication lag spikes, how to distinguish IO‑thread pull problems from SQL‑thread apply bottlenecks, provides step‑by‑step commands, configuration examples, real‑world case studies, best‑practice recommendations, and monitoring setups to reliably troubleshoot and prevent replication delays.
While many believe that using SELECT * inevitably disables indexes, MySQL’s optimizer only skips indexes when a full table scan is cheaper, and patterns such as violating the left‑most prefix, applying functions or implicit casts, leading‑wildcard LIKE, OR/IN misuse, and mismatched ORDER BY can cause index invalidation, prompting some companies to forbid SELECT * in production.
Illia Polosukhin, one of the authors of the Transformer paper, rewrote OpenClaw in Rust as IronClaw, adding multiple security layers, a database‑backed memory system, WASM sandboxing, encrypted credential storage, and extensible agent components to make AI agents both safe and efficient.
An online payment service failed when a newly added business logic forgot to commit its transaction, leaving a polluted connection that silently blocked subsequent orders, and the post‑mortem explains the root cause, debugging steps, code fixes, and preventive measures.
This article walks through practical techniques for designing a highly concurrent Python backend that stays stable under load, covering architecture planning, async programming, load balancing, database scaling, distributed tasks, caching, rate limiting, monitoring, and graceful shutdown.
The article examines the long‑awaited Go proposal to add a crypto/uuid package, explains UUID version history, the design choices behind the minimal API, why only V4 and V7 are provided, and how developers can smoothly migrate from the third‑party google/uuid library.
This article breaks down the essential technical and soft‑skill competencies—ranging from deep Linux kernel knowledge and database optimization to cloud‑native Kubernetes expertise, observability, automation, cost‑saving architecture, and security—that distinguish high‑salary operations engineers and provides a practical roadmap for achieving them.
This guide explains the advantages of using PDO instead of mysqli for PHP database connections, walks through MySQL and PostgreSQL setup with detailed code examples, recommended configuration options, and a checklist for troubleshooting common connection errors.
A recent production incident revealed that a forgotten transaction commit in one service left a database connection polluted, causing unrelated payment requests to fail silently, and the article walks through the root cause, debugging steps, code fixes, and preventive measures.
A payment service showed successful orders but no data in the database, leading to lock timeouts; the root cause was a hidden missing commit in a special code path that polluted the connection pool, causing other services to inherit an uncommitted transaction and fail intermittently.
A payment service failed to insert orders despite successful payments, showing no errors, occasional lock timeouts, and intermittent success, which was traced to a missing transaction commit that polluted reused connections, causing unrelated business failures until the bug was fixed and preventive measures were added.
The article details Du Xiaoman's 2023 campus hiring salaries for Java backend roles, explains the significance of signing bonuses, shares a successful intern story, and provides in‑depth interview preparation covering thread pools, locks, AQS, CAS, SQL optimization, sharding, MVCC, and transaction isolation levels.
