{"id":15002395,"url":"https://github.com/dbdoctor-das/dbdoctor","last_synced_at":"2025-10-30T08:31:18.879Z","repository":{"id":255617890,"uuid":"852023481","full_name":"DBdoctor-DAS/DBdoctor","owner":"DBdoctor-DAS","description":"DBdoctor team technical articles shared with tutorials","archived":false,"fork":false,"pushed_at":"2024-09-11T02:04:28.000Z","size":2331,"stargazers_count":28,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-02T07:22:55.025Z","etag":null,"topics":["audit-log","basic-monitoring","dbdoctor","gbase-8a","index-recommendation","instance-inspection","lock-perspective","mysql","oceanbase","oracle","performance-insight","performance-monitoring","polardb-x","postgresql-database","root-cause-diagnosis","sql-audit","sql-server","storage-analysis","tdsql"],"latest_commit_sha":null,"homepage":"https://www.dbdoctor.cn/","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DBdoctor-DAS.png","metadata":{"files":{"readme":"README.CN.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-09-04T05:03:20.000Z","updated_at":"2024-12-08T05:40:30.000Z","dependencies_parsed_at":"2024-09-09T03:26:34.946Z","dependency_job_id":null,"html_url":"https://github.com/DBdoctor-DAS/DBdoctor","commit_stats":null,"previous_names":["dbdoctor-das/dbdoctor"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DBdoctor-DAS%2FDBdoctor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DBdoctor-DAS%2FDBdoctor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DBdoctor-DAS%2FDBdoctor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DBdoctor-DAS%2FDBdoctor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DBdoctor-DAS","download_url":"https://codeload.github.com/DBdoctor-DAS/DBdoctor/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238945668,"owners_count":19556700,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["audit-log","basic-monitoring","dbdoctor","gbase-8a","index-recommendation","instance-inspection","lock-perspective","mysql","oceanbase","oracle","performance-insight","performance-monitoring","polardb-x","postgresql-database","root-cause-diagnosis","sql-audit","sql-server","storage-analysis","tdsql"],"created_at":"2024-09-24T18:49:58.234Z","updated_at":"2025-10-30T08:31:13.478Z","avatar_url":"https://github.com/DBdoctor-DAS.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch2 align=\"center\"\u003e\n  \u003cimg width=\"280\" src=\"./images/logo.png\" \u003e\n  \u003cp\u003eDBdoctor，致力于解决数据库的一切性能问题\u003c/p\u003e\n  \u003cdiv align=\"center\"\u003e\n    \u003ca\u003e\n        \u003cimg src=\"https://img.shields.io/badge/author-DBdoctor-DAS.svg\"\u003e\n    \u003c/a\u003e\n    \u003ca\u003e\n        \u003cimg src=\"https://img.shields.io/github/license/DBdoctor-DAS/DBdoctor.svg\"\u003e\n    \u003c/a\u003e\n  \u003c/div\u003e\n\u003c/h2\u003e\nDBdoctor是一款内核级数据库性能诊断软件，致力于解决数据库的一切性能问题。\n就像对数据库做全身CT，帮助您一分钟内找到数据库性能问题，实现数据库性能诊断百倍提效。\n针对数据库性诊断门槛高、耗时长的问题，DBdoctor提供了快速易用的解决方案，\n基于海量数据实时分析技术，深入到数据库内核，提供精准的诊断分析和优化建议。\n\n[English Version](./README.md)\n\n## 简介\n\n- [DBdoctor简介](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/dbdoctor-introduce.md)\n- [下载安装包](https://www.dbdoctor.cn/h-col-133.html)\n- [在线试用](https://demo.dbdoctor.cn/)\n- [产品文档](https://demo.dbdoctor.cn/modules/dbDoctor/mdPreview/index.html?readme=help#/)\n\n## 技术相关文章\n\n- [DBdoctor推出无Agent轻量级纳管解决方案](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/DbdoctorIntroducesAgentlessLightweightManagementSolution.md)\n- [MySQL Using temporary案例详解及优化方法](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/MySQLUsingTemporary.md)\n- [内存耗尽！如何快速定位Java OOM问题根因](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/OutOfMemory.md)\n- [一条SQL使用order by，引发IO问题](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/AnSqlLineUsesOrderBy.md)\n- [一个接口未做超时处理，引发数据库hang了](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/AnInterfaceDidNotTimeOut.md)\n- [还在用JVM跑你的Java代码吗？太慢了，试试Oracle的GraalVM吧](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/StillRunningYourJavaCodeWithTheJvm.md)\n- [MySQL加个索引都可能丢数据，这个坑你知道吗？](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/MysqlCanLoseDataByAddingAnIndex.md)\n- [DBA必备！如何使用DBdoctor进行索引推荐](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/HowDoIUseDbdoctorForIndexRecommendations.md)\n- [Docker Hub无法访问，DBdoctor的应对之策](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/DockerhubCannotBeAccessed.md)\n- [数据库索引推荐大PK，DBdoctor和资深DBA的终极较量](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/DatabaseIndexRecommendedLargePk.md)\n- [端午特别篇：你真的了解数据库索引吗？](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/DoYouReallyKnowAnythingAboutDatabaseIndexing.md)\n\n- [被锁住的大象(Postgres)，如何跟MySQL赛跑](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/TheChainedElephant.md)\n\n- [史上最强的SQL审核工具，求挑战！](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/TheMostPowerfulSqlAuditToolEver.md)\n\n- [用DBdoctor做数据库巡检：顺滑应对春节流量洪峰](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/CopeWithTheSpringFestivalTrafficPeak.md)\n\n- 数据库纳管\n    - [DBdoctor快速纳管OceanBase](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/DbdoctorQuicklyManagesOceanbase.md)\n    - [性能诊断工具DBdoctor如何快速纳管数据库PolarDB-X](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/DbdoctorQuicklyManagesPolardb-x.md)\n    - [DBdoctor如何纳管公有云RDS](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/HowDoesDbdoctorManagePublicCloudRds.md)\n    - [DBdoctor快速纳管SQL Server](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/DbdoctorQuicklyManagesSqlServer.md)\n    - [DBdoctor快速纳管GBase 8a数据库](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/DbdoctorQuicklyManageGbase.md)\n\n## 教程相关文章\n\n- EBPF\n    - [eBPF实战教程一 | 手把手教你用eBPF诊断MySQL(含源码)](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/EBPF01.md)\n    - [eBPF实战教程二｜数据库网络流量最精准的量化方法(含源码)](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/EBPF02.md)\n    - [eBPF实战教程三｜数据库磁盘IO最精准的量化方法(含源码)](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/EBPF03.md)\n    - [eBPF实战教程四 | 用蜜蜂(eBPF)来追踪海豚(MySQL)，性能追的上吗？](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/UseEbpfToTrackMysql.md)\n    - [eBPF实战教程五｜如何使用USDT探针定位MySQL异常访问(含源码)](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/EBPF05.md)\n    - [eBPF实战教程六｜USDT的预埋与性能测评](https://github.com/DBdoctor-DAS/DBdoctor/blob/main/articles/EBPF06.md)\n    ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbdoctor-das%2Fdbdoctor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdbdoctor-das%2Fdbdoctor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbdoctor-das%2Fdbdoctor/lists"}