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前言 何為PostgreSQL? PostgreSQL簡史 格式約定 更多信息 臭蟲匯報指導 I. 教程 章1. 從頭開始 1.1. 安裝 1.2. 體系基本概念 1.3. 創(chuàng)建一個數(shù)據(jù)庫 1.4. 訪問數(shù)據(jù)庫 章2. SQL語言 2.1. 介紹 2.2. 概念 2.3. 創(chuàng)建新表 2.4. 向表中添加行 2.5. 查詢一個表 2.6. 表間鏈接 2.7. 聚集函數(shù) 2.8. 更新 2.9. 刪除 章3. 高級特性 3.1. 介紹 3.2. 視圖 3.3. 外鍵 3.4. 事務 3.5. 窗口函數(shù) 3.6. 繼承 3.7. 結(jié)論 II. SQL語言 章4. SQL語法 4.1. 詞法結(jié)構(gòu) 4.2. 值表達式 4.3. 調(diào)用函數(shù) 章5. 數(shù)據(jù)定義 5.1. 表的基本概念 5.2. 缺省值 5.3. 約束 5.4. 系統(tǒng)字段 5.5. 修改表 5.6. 權(quán)限 5.7. 模式 5.8. 繼承 5.9. 分區(qū) 5.10. 其它數(shù)據(jù)庫對象 5.11. 依賴性跟蹤 章 6. 數(shù)據(jù)操作 6.1. 插入數(shù)據(jù) 6.2. 更新數(shù)據(jù) 6.3. 刪除數(shù)據(jù) 章7. 查詢 7.1. 概述 7.2. 表表達式 7.3. 選擇列表 7.4. 組合查詢 7.5. 行排序 7.6. LIMIT和OFFSET 7.7. VALUES列表 7.8. WITH的查詢(公用表表達式) 章8. 數(shù)據(jù)類型 8.1. 數(shù)值類型 8.2. 貨幣類型 8.3. 字符類型 8.4. 二進制數(shù)據(jù)類型 8.5. 日期/時間類型 8.6. 布爾類型 8.7. 枚舉類型 8.8. 幾何類型 8.9. 網(wǎng)絡(luò)地址類型 8.10. 位串類型 8.11. 文本搜索類型 8.12. UUID類型 8.13. XML類型 8.14. 數(shù)組 8.15. 復合類型 8.16. 對象標識符類型 8.17. 偽類型 章 9. 函數(shù)和操作符 9.1. 邏輯操作符 9.2. 比較操作符 9.3. 數(shù)學函數(shù)和操作符 9.4. 字符串函數(shù)和操作符 9.5. 二進制字符串函數(shù)和操作符 9.6. 位串函數(shù)和操作符 9.7. 模式匹配 9.8. 數(shù)據(jù)類型格式化函數(shù) 9.9. 時間/日期函數(shù)和操作符 9.10. 支持枚舉函數(shù) 9.11. 幾何函數(shù)和操作符 9.12. 網(wǎng)絡(luò)地址函數(shù)和操作符 9.13. 文本檢索函數(shù)和操作符 9.14. XML函數(shù) 9.15. 序列操作函數(shù) 9.16. 條件表達式 9.17. 數(shù)組函數(shù)和操作符 9.18. 聚合函數(shù) 9.19. 窗口函數(shù) 9.20. 子查詢表達式 9.21. 行和數(shù)組比較 9.22. 返回集合的函數(shù) 9.23. 系統(tǒng)信息函數(shù) 9.24. 系統(tǒng)管理函數(shù) 9.25. 觸發(fā)器函數(shù) 章10. 類型轉(zhuǎn)換 10.3. 函數(shù) 10.2. 操作符 10.1. 概述 10.4. 值存儲 10.5. UNION 章11. 索引 11.1. 介紹 11.2. 索引類型 11.3. 多字段索引 11.4. 索引和ORDER BY 11.5. 組合多個索引 11.6. 唯一索引 11.7. 表達式上的索引 11.8. 部分索引 11.9. 操作類和操作簇 11.10. 檢查索引的使用 章12. Full Text Search 12.1. Introduction 12.2. Tables and Indexes 12.3. Controlling Text Search 12.4. Additional Features 12.5. Parsers 12.6. Dictionaries 12.7. Configuration Example 12.8. Testing and Debugging Text Search 12.9. GiST and GIN Index Types 12.10. psql Support 12.11. Limitations 12.12. Migration from Pre-8.3 Text Search 章13. 并發(fā)控制 13.1. 介紹 13.2. 事務隔離 13.3. 明確鎖定 13.4. 應用層數(shù)據(jù)完整性檢查 13.5. 鎖和索引 章14. 性能提升技巧 14.1. 使用EXPLAIN 14.2. 規(guī)劃器使用的統(tǒng)計信息 14.3. 用明確的JOIN語句控制規(guī)劃器 14.4. 向數(shù)據(jù)庫中添加記錄 14.5. 非持久性設(shè)置 III. 服務器管理 章15. 安裝指導 15.1. 簡版 15.2. 要求 15.3. 獲取源碼 15.4. 升級 15.5. 安裝過程 15.6. 安裝后的設(shè)置 15.7. 支持的平臺 15.8. 特殊平臺的要求 章16. Installation from Source Code on Windows 16.1. Building with Visual C++ or the Platform SDK 16.2. Building libpq with Visual C++ or Borland C++ 章17. 服務器安裝和操作 17.1. PostgreSQL用戶帳戶 17.2. 創(chuàng)建數(shù)據(jù)庫集群 17.3. 啟動數(shù)據(jù)庫服務器 17.4. 管理內(nèi)核資源 17.5. 關(guān)閉服務 17.6. 防止服務器欺騙 17.7. 加密選項 17.8. 用SSL進行安全的TCP/IP連接 17.9. Secure TCP/IP Connections with SSH Tunnels 章18. 服務器配置 18.1. 設(shè)置參數(shù) 18.2. 文件位置 18.3. 連接和認證 18.4. 資源消耗 18.5. 預寫式日志 18.6. 查詢規(guī)劃 18.7. 錯誤報告和日志 18.8. 運行時統(tǒng)計 18.9. 自動清理 18.10. 客戶端連接缺省 18.12. 版本和平臺兼容性 18.11. 鎖管理 18.13. 預置選項 18.14. 自定義的選項 18.15. 開發(fā)人員選項 18.16. 短選項 章19. 用戶認證 19.1. pg_hba.conf 文件 19.2. 用戶名映射 19.3. 認證方法 19.4. 用戶認證 章20. 數(shù)據(jù)庫角色和權(quán)限 20.1. 數(shù)據(jù)庫角色 20.2. 角色屬性 20.3. 權(quán)限 20.4. 角色成員 20.5. 函數(shù)和觸發(fā)器 章21. 管理數(shù)據(jù)庫 21.1. 概述 21.2. 創(chuàng)建一個數(shù)據(jù)庫 21.3. 臨時庫 21.4. 數(shù)據(jù)庫配置 21.5. 刪除數(shù)據(jù)庫 21.6. 表空間 章22. 本土化 22.1. 區(qū)域支持 22.2. 字符集支持 章23. 日常數(shù)據(jù)庫維護工作 23.1. Routine Vacuuming日常清理 23.2. 經(jīng)常重建索引 23.3. 日志文件維護 章24. 備份和恢復 24.1. SQL轉(zhuǎn)儲 24.2. 文件系統(tǒng)級別的備份 24.3. 在線備份以及即時恢復(PITR) 24.4. 版本間遷移 章25. 高可用性與負載均衡,復制 25.1. 不同解決方案的比較 25.2. 日志傳送備份服務器 25.3. 失效切換 25.4. 日志傳送的替代方法 25.5. 熱備 章26. 恢復配置 26.1. 歸檔恢復設(shè)置 26.2. 恢復目標設(shè)置 26.3. 備服務器設(shè)置 章27. 監(jiān)控數(shù)據(jù)庫的活動 27.1. 標準Unix工具 27.2. 統(tǒng)計收集器 27.3. 查看鎖 27.4. 動態(tài)跟蹤 章28. 監(jiān)控磁盤使用情況 28.1. 判斷磁盤的使用量 28.2. 磁盤滿導致的失效 章29. 可靠性和預寫式日志 29.1. 可靠性 29.2. 預寫式日志(WAL) 29.3. 異步提交 29.4. WAL配置 29.5. WAL內(nèi)部 章30. Regression Tests 30.1. Running the Tests 30.2. Test Evaluation 30.3. Variant Comparison Files 30.4. Test Coverage Examination IV. 客戶端接口 章31. libpq-C庫 31.1. 數(shù)據(jù)庫聯(lián)接函數(shù) 31.2. 連接狀態(tài)函數(shù) 31.3. 命令執(zhí)行函數(shù) 31.4. 異步命令處理 31.5. 取消正在處理的查詢 31.6. 捷徑接口 31.7. 異步通知 31.8. 與COPY命令相關(guān)的函數(shù) 31.9. Control Functions 控制函數(shù) 31.10. 其他函數(shù) 31.11. 注意信息處理 31.12. 事件系統(tǒng) 31.13. 環(huán)境變量 31.14. 口令文件 31.15. 連接服務的文件 31.16. LDAP查找連接參數(shù) 31.17. SSL支持 31.18. 在多線程程序里的行為 31.19. 制作libpq程序 31.20. 例子程序 章32. 大對象 32.1. 介紹 32.2. 實現(xiàn)特點 32.3. 客戶端接口 32.4. 服務器端函數(shù) 32.5. 例子程序 章33. ECPG - Embedded SQL in C 33.1. The Concept 33.2. Connecting to the Database Server 33.3. Closing a Connection 33.4. Running SQL Commands 33.5. Choosing a Connection 33.6. Using Host Variables 33.7. Dynamic SQL 33.8. pgtypes library 33.9. Using Descriptor Areas 33.10. Informix compatibility mode 33.11. Error Handling 33.12. Preprocessor directives 33.13. Processing Embedded SQL Programs 33.14. Library Functions 33.15. Internals 章34. 信息模式 34.1. 關(guān)于這個模式 34.2. 數(shù)據(jù)類型 34.3. information_schema_catalog_name 34.4. administrable_role_authorizations 34.5. applicable_roles 34.6. attributes 34.7. check_constraint_routine_usage 34.8. check_constraints 34.9. column_domain_usage 34.10. column_privileges 34.11. column_udt_usage 34.12. 字段 34.13. constraint_column_usage 34.14. constraint_table_usage 34.15. data_type_privileges 34.16. domain_constraints 34.18. domains 34.17. domain_udt_usage 34.19. element_types 34.20. enabled_roles 34.21. foreign_data_wrapper_options 34.22. foreign_data_wrappers 34.23. foreign_server_options 34.24. foreign_servers 34.25. key_column_usage 34.26. parameters 34.27. referential_constraints 34.28. role_column_grants 34.29. role_routine_grants 34.30. role_table_grants 34.31. role_usage_grants 34.32. routine_privileges 34.33. routines 34.34. schemata 34.35. sequences 34.36. sql_features 34.37. sql_implementation_info 34.38. sql_languages 34.39. sql_packages 34.40. sql_parts 34.41. sql_sizing 34.42. sql_sizing_profiles 34.43. table_constraints 34.44. table_privileges 34.45. tables 34.46. triggered_update_columns 34.47. 觸發(fā)器 34.48. usage_privileges 34.49. user_mapping_options 34.50. user_mappings 34.51. view_column_usage 34.52. view_routine_usage 34.53. view_table_usage 34.54. 視圖 V. 服務器端編程 章35. 擴展SQL 35.1. 擴展性是如何實現(xiàn)的 35.2. PostgreSQL類型系統(tǒng) 35.3. User-Defined Functions 35.4. Query Language (SQL) Functions 35.5. Function Overloading 35.6. Function Volatility Categories 35.7. Procedural Language Functions 35.8. Internal Functions 35.9. C-Language Functions 35.10. User-Defined Aggregates 35.11. User-Defined Types 35.12. User-Defined Operators 35.13. Operator Optimization Information 35.14. Interfacing Extensions To Indexes 35.15. 用C++擴展 章36. 觸發(fā)器 36.1. 觸發(fā)器行為概述 36.3. 用 C 寫觸發(fā)器 36.2. 數(shù)據(jù)改變的可視性 36.4. 一個完整的例子 章37. 規(guī)則系統(tǒng) 37.1. The Query Tree 37.2. 視圖和規(guī)則系統(tǒng) 37.3. 在INSERT,UPDATE和DELETE上的規(guī)則 37.4. 規(guī)則和權(quán)限 37.5. 規(guī)則和命令狀態(tài) 37.6. 規(guī)則與觸發(fā)器得比較 章38. Procedural Languages 38.1. Installing Procedural Languages 章39. PL/pgSQL - SQL過程語言 39.1. 概述 39.2. PL/pgSQL的結(jié)構(gòu) 39.3. 聲明 39.4. 表達式 39.5. 基本語句 39.6. 控制結(jié)構(gòu) 39.7. 游標 39.8. 錯誤和消息 39.9. 觸發(fā)器過程 39.10. PL/pgSQL Under the Hood 39.11. 開發(fā)PL/pgSQL的一些提示 39.12. 從OraclePL/SQL 進行移植 章40. PL/Tcl - Tcl Procedural Language 40.1. Overview 40.2. PL/Tcl Functions and Arguments 40.3. Data Values in PL/Tcl 40.4. Global Data in PL/Tcl 40.5. Database Access from PL/Tcl 40.6. Trigger Procedures in PL/Tcl 40.7. Modules and the unknown command 40.8. Tcl Procedure Names 章41. PL/Perl - Perl Procedural Language 41.1. PL/Perl Functions and Arguments 41.2. Data Values in PL/Perl 41.3. Built-in Functions 41.4. Global Values in PL/Perl 41.6. PL/Perl Triggers 41.5. Trusted and Untrusted PL/Perl 41.7. PL/Perl Under the Hood 章42. PL/Python - Python Procedural Language 42.1. Python 2 vs. Python 3 42.2. PL/Python Functions 42.3. Data Values 42.4. Sharing Data 42.5. Anonymous Code Blocks 42.6. Trigger Functions 42.7. Database Access 42.8. Utility Functions 42.9. Environment Variables 章43. Server Programming Interface 43.1. Interface Functions Spi-spi-connect Spi-spi-finish Spi-spi-push Spi-spi-pop Spi-spi-execute Spi-spi-exec Spi-spi-execute-with-args Spi-spi-prepare Spi-spi-prepare-cursor Spi-spi-prepare-params Spi-spi-getargcount Spi-spi-getargtypeid Spi-spi-is-cursor-plan Spi-spi-execute-plan Spi-spi-execute-plan-with-paramlist Spi-spi-execp Spi-spi-cursor-open Spi-spi-cursor-open-with-args Spi-spi-cursor-open-with-paramlist Spi-spi-cursor-find Spi-spi-cursor-fetch Spi-spi-cursor-move Spi-spi-scroll-cursor-fetch Spi-spi-scroll-cursor-move Spi-spi-cursor-close Spi-spi-saveplan 43.2. Interface Support Functions Spi-spi-fname Spi-spi-fnumber Spi-spi-getvalue Spi-spi-getbinval Spi-spi-gettype Spi-spi-gettypeid Spi-spi-getrelname Spi-spi-getnspname 43.3. Memory Management Spi-spi-palloc Spi-realloc Spi-spi-pfree Spi-spi-copytuple Spi-spi-returntuple Spi-spi-modifytuple Spi-spi-freetuple Spi-spi-freetupletable Spi-spi-freeplan 43.4. Visibility of Data Changes 43.5. Examples VI. 參考手冊 I. SQL命令 Sql-abort Sql-alteraggregate Sql-alterconversion Sql-alterdatabase Sql-alterdefaultprivileges Sql-alterdomain Sql-alterforeigndatawrapper Sql-alterfunction Sql-altergroup Sql-alterindex Sql-alterlanguage Sql-alterlargeobject Sql-alteroperator Sql-alteropclass Sql-alteropfamily Sql-alterrole Sql-alterschema Sql-altersequence Sql-alterserver Sql-altertable Sql-altertablespace Sql-altertsconfig Sql-altertsdictionary Sql-altertsparser Sql-altertstemplate Sql-altertrigger Sql-altertype Sql-alteruser Sql-alterusermapping Sql-alterview Sql-analyze Sql-begin Sql-checkpoint Sql-close Sql-cluster Sql-comment Sql-commit Sql-commit-prepared Sql-copy Sql-createaggregate Sql-createcast Sql-createconstraint Sql-createconversion Sql-createdatabase Sql-createdomain Sql-createforeigndatawrapper Sql-createfunction Sql-creategroup Sql-createindex Sql-createlanguage Sql-createoperator Sql-createopclass Sql-createopfamily Sql-createrole Sql-createrule Sql-createschema Sql-createsequence Sql-createserver Sql-createtable Sql-createtableas Sql-createtablespace Sql-createtsconfig Sql-createtsdictionary Sql-createtsparser Sql-createtstemplate Sql-createtrigger Sql-createtype Sql-createuser Sql-createusermapping Sql-createview Sql-deallocate Sql-declare Sql-delete Sql-discard Sql-do Sql-dropaggregate Sql-dropcast Sql-dropconversion Sql-dropdatabase Sql-dropdomain Sql-dropforeigndatawrapper Sql-dropfunction Sql-dropgroup Sql-dropindex Sql-droplanguage Sql-dropoperator Sql-dropopclass Sql-dropopfamily Sql-drop-owned Sql-droprole Sql-droprule Sql-dropschema Sql-dropsequence Sql-dropserver Sql-droptable Sql-droptablespace Sql-droptsconfig Sql-droptsdictionary Sql-droptsparser Sql-droptstemplate Sql-droptrigger Sql-droptype Sql-dropuser Sql-dropusermapping Sql-dropview Sql-end Sql-execute Sql-explain Sql-fetch Sql-grant Sql-insert Sql-listen Sql-load Sql-lock Sql-move Sql-notify Sql-prepare Sql-prepare-transaction Sql-reassign-owned Sql-reindex Sql-release-savepoint Sql-reset Sql-revoke Sql-rollback Sql-rollback-prepared Sql-rollback-to Sql-savepoint Sql-select Sql-selectinto Sql-set Sql-set-constraints Sql-set-role Sql-set-session-authorization Sql-set-transaction Sql-show Sql-start-transaction Sql-truncate Sql-unlisten Sql-update Sql-vacuum Sql-values II. 客戶端應用程序 App-clusterdb App-createdb App-createlang App-createuser App-dropdb App-droplang App-dropuser App-ecpg App-pgconfig App-pgdump App-pg-dumpall App-pgrestore App-psql App-reindexdb App-vacuumdb III. PostgreSQL服務器應用程序 App-initdb App-pgcontroldata App-pg-ctl App-pgresetxlog App-postgres App-postmaster VII. 內(nèi)部 章44. PostgreSQL內(nèi)部概覽 44.1. 查詢路徑 44.2. 連接是如何建立起來的 44.3. 分析器階段 44.4. ThePostgreSQL規(guī)則系統(tǒng) 44.5. 規(guī)劃器/優(yōu)化器 44.6. 執(zhí)行器 章45. 系統(tǒng)表 45.1. 概述 45.2. pg_aggregate 45.3. pg_am 45.4. pg_amop 45.5. pg_amproc 45.6. pg_attrdef 45.7. pg_attribute 45.8. pg_authid 45.9. pg_auth_members 45.10. pg_cast 45.11. pg_class 45.12. pg_constraint 45.13. pg_conversion 45.14. pg_database 45.15. pg_db_role_setting 45.16. pg_default_acl 45.17. pg_depend 45.18. pg_description 45.19. pg_enum 45.20. pg_foreign_data_wrapper 45.21. pg_foreign_server 45.22. pg_index 45.23. pg_inherits 45.24. pg_language 45.25. pg_largeobject 45.26. pg_largeobject_metadata 45.27. pg_namespace 45.28. pg_opclass 45.29. pg_operator 45.30. pg_opfamily 45.31. pg_pltemplate 45.32. pg_proc 45.33. pg_rewrite 45.34. pg_shdepend 45.35. pg_shdescription 45.36. pg_statistic 45.37. pg_tablespace 45.38. pg_trigger 45.39. pg_ts_config 45.40. pg_ts_config_map 45.41. pg_ts_dict 45.42. pg_ts_parser 45.43. pg_ts_template 45.44. pg_type 45.45. pg_user_mapping 45.46. System Views 45.47. pg_cursors 45.48. pg_group 45.49. pg_indexes 45.50. pg_locks 45.51. pg_prepared_statements 45.52. pg_prepared_xacts 45.53. pg_roles 45.54. pg_rules 45.55. pg_settings 45.56. pg_shadow 45.57. pg_stats 45.58. pg_tables 45.59. pg_timezone_abbrevs 45.60. pg_timezone_names 45.61. pg_user 45.62. pg_user_mappings 45.63. pg_views 章46. Frontend/Backend Protocol 46.1. Overview 46.2. Message Flow 46.3. Streaming Replication Protocol 46.4. Message Data Types 46.5. Message Formats 46.6. Error and Notice Message Fields 46.7. Summary of Changes since Protocol 2.0 47. PostgreSQL Coding Conventions 47.1. Formatting 47.2. Reporting Errors Within the Server 47.3. Error Message Style Guide 章48. Native Language Support 48.1. For the Translator 48.2. For the Programmer 章49. Writing A Procedural Language Handler 章50. Genetic Query Optimizer 50.1. Query Handling as a Complex Optimization Problem 50.2. Genetic Algorithms 50.3. Genetic Query Optimization (GEQO) in PostgreSQL 50.4. Further Reading 章51. 索引訪問方法接口定義 51.1. 索引的系統(tǒng)表記錄 51.2. 索引訪問方法函數(shù) 51.3. 索引掃描 51.4. 索引鎖的考量 51.5. 索引唯一性檢查 51.6. 索引開銷估計函數(shù) 章52. GiST Indexes 52.1. Introduction 52.2. Extensibility 52.3. Implementation 52.4. Examples 52.5. Crash Recovery 章53. GIN Indexes 53.1. Introduction 53.2. Extensibility 53.3. Implementation 53.4. GIN tips and tricks 53.5. Limitations 53.6. Examples 章54. 數(shù)據(jù)庫物理存儲 54.1. 數(shù)據(jù)庫文件布局 54.2. TOAST 54.3. 自由空間映射 54.4. 可見映射 54.5. 數(shù)據(jù)庫分頁文件 章55. BKI后端接口 55.1. BKI 文件格式 55.2. BKI命令 55.3. 系統(tǒng)初始化的BKI文件的結(jié)構(gòu) 55.4. 例子 章56. 規(guī)劃器如何使用統(tǒng)計信息 56.1. 行預期的例子 VIII. 附錄 A. PostgreSQL錯誤代碼 B. 日期/時間支持 B.1. 日期/時間輸入解析 B.2. 日期/時間關(guān)鍵字 B.3. 日期/時間配置文件 B.4. 日期單位的歷史 C. SQL關(guān)鍵字 D. SQL Conformance D.1. Supported Features D.2. Unsupported Features E. 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The Source Code Repository H.1. Getting The Source Via Git I. 文檔 I.1. DocBook I.2. 工具集 I.3. 制作文檔 I.4. 文檔寫作 I.5. 風格指導 J. 首字母縮略詞 參考書目 Bookindex Index
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F.23. pgbench

pgbench is a simple program for running benchmark tests on PostgreSQL. It runs the same sequence of SQL commands over and over, possibly in multiple concurrent database sessions, and then calculates the average transaction rate (transactions per second). By default, pgbench tests a scenario that is loosely based on TPC-B, involving five SELECT, UPDATE, and INSERT commands per transaction. However, it is easy to test other cases by writing your own transaction script files.

Typical output from pgbench looks like:

transaction type: TPC-B (sort of)
scaling factor: 10
query mode: simple
number of clients: 10
number of threads: 1
number of transactions per client: 1000
number of transactions actually processed: 10000/10000
tps = 85.184871 (including connections establishing)
tps = 85.296346 (excluding connections establishing)

The first six lines report some of the most important parameter settings. The next line reports the number of transactions completed and intended (the latter being just the product of number of clients and number of transactions per client); these will be equal unless the run failed before completion. The last two lines report the TPS rate, figured with and without counting the time to start database sessions.

F.23.1. Overview

The default TPC-B-like transaction test requires specific tables to be set up beforehand. pgbench should be invoked with the -i (initialize) option to create and populate these tables. (When you are testing a custom script, you don't need this step, but will instead need to do whatever setup your test needs.) Initialization looks like:

pgbench -i [ other-options ] dbname

where dbname is the name of the already-created database to test in. (You may also need -h, -p, and/or -U options to specify how to connect to the database server.)

Caution

pgbench -i creates four tables pgbench_accounts, pgbench_branches, pgbench_history, and pgbench_tellers, destroying any existing tables of these names. Be very careful to use another database if you have tables having these names!

At the default "scale factor" of 1, the tables initially contain this many rows:

table                   # of rows
---------------------------------
pgbench_branches        1
pgbench_tellers         10
pgbench_accounts        100000
pgbench_history         0

You can (and, for most purposes, probably should) increase the number of rows by using the -s (scale factor) option. The -F (fillfactor) option might also be used at this point.

Once you have done the necessary setup, you can run your benchmark with a command that doesn't include -i, that is

pgbench [ options ] dbname

In nearly all cases, you'll need some options to make a useful test. The most important options are -c (number of clients), -t (number of transactions), -T (time limit), and -f (specify a custom script file). See below for a full list.

Section F.23.2 shows options that are used during database initialization, while Section F.23.3 shows options that are used while running benchmarks, and Section F.23.4 shows options that are useful in both cases.

F.23.2. pgbench Initialization Options

pgbench accepts the following command-line initialization arguments:

-F fillfactor

Create the pgbench_accounts, pgbench_tellers and pgbench_branches tables with the given fillfactor. Default is 100.

-i

Required to invoke initialization mode.

-s scale_factor

Multiply the number of rows generated by the scale factor. For example, -s 100 will create 10,000,000 rows in the pgbench_accounts table. Default is 1.

F.23.3. pgbench Benchmarking Options

pgbench accepts the following command-line benchmarking arguments:

-c clients

Number of clients simulated, that is, number of concurrent database sessions. Default is 1.

-C

Establish a new connection for each transaction, rather than doing it just once per client session. This is useful to measure the connection overhead.

-d

Print debugging output.

-D varname=value

Define a variable for use by a custom script (see below). Multiple -D options are allowed.

-f filename

Read transaction script from filename. See below for details. -N, -S, and -f are mutually exclusive.

-j threads

Number of worker threads within pgbench. Using more than one thread can be helpful on multi-CPU machines. The number of clients must be a multiple of the number of threads, since each thread is given the same number of client sessions to manage. Default is 1.

-l

Write the time taken by each transaction to a log file. See below for details.

-M querymode

Protocol to use for submitting queries to the server:

  • simple: use simple query protocol.

  • extended: use extended query protocol.

  • prepared: use extended query protocol with prepared statements.

The default is simple query protocol. (See Chapter 46 for more information.)

-n

Perform no vacuuming before running the test. This option is necessary if you are running a custom test scenario that does not include the standard tables pgbench_accounts, pgbench_branches, pgbench_history, and pgbench_tellers.

-N

Do not update pgbench_tellers and pgbench_branches. This will avoid update contention on these tables, but it makes the test case even less like TPC-B.

-s scale_factor

Report the specified scale factor in pgbench's output. With the built-in tests, this is not necessary; the correct scale factor will be detected by counting the number of rows in the pgbench_branches table. However, when testing custom benchmarks (-f option), the scale factor will be reported as 1 unless this option is used.

-S

Perform select-only transactions instead of TPC-B-like test.

-t transactions

Number of transactions each client runs. Default is 10.

-T seconds

Run the test for this many seconds, rather than a fixed number of transactions per client. -t and -T are mutually exclusive.

-v

Vacuum all four standard tables before running the test. With neither -n nor -v, pgbench will vacuum the pgbench_tellers and pgbench_branches tables, and will truncate pgbench_history.

F.23.4. pgbench Common Options

pgbench accepts the following command-line common arguments:

-h hostname

The database server's host name

-p port

The database server's port number

-U login

The user name to connect as

F.23.5. What is the "transaction" actually performed in pgbench?

The default transaction script issues seven commands per transaction:

  1. BEGIN;

  2. UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;

  3. SELECT abalance FROM pgbench_accounts WHERE aid = :aid;

  4. UPDATE pgbench_tellers SET tbalance = tbalance + :delta WHERE tid = :tid;

  5. UPDATE pgbench_branches SET bbalance = bbalance + :delta WHERE bid = :bid;

  6. INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);

  7. END;

If you specify -N, steps 4 and 5 aren't included in the transaction. If you specify -S, only the SELECT is issued.

F.23.6. Custom Scripts

pgbench has support for running custom benchmark scenarios by replacing the default transaction script (described above) with a transaction script read from a file (-f option). In this case a "transaction" counts as one execution of a script file. You can even specify multiple scripts (multiple -f options), in which case a random one of the scripts is chosen each time a client session starts a new transaction.

The format of a script file is one SQL command per line; multiline SQL commands are not supported. Empty lines and lines beginning with -- are ignored. Script file lines can also be "meta commands", which are interpreted by pgbench itself, as described below.

There is a simple variable-substitution facility for script files. Variables can be set by the command-line -D option, explained above, or by the meta commands explained below. In addition to any variables preset by -D command-line options, the variable scale is preset to the current scale factor. Once set, a variable's value can be inserted into a SQL command by writing :variablename. When running more than one client session, each session has its own set of variables.

Script file meta commands begin with a backslash (\). Arguments to a meta command are separated by white space. These meta commands are supported:

\set varname operand1 [ operator operand2 ]

Sets variable varname to a calculated integer value. Each operand is either an integer constant or a :variablename reference to a variable having an integer value. The operator can be +, -, *, or /.

Example:

\set ntellers 10 * :scale

\setrandom varname min max

Sets variable varname to a random integer value between the limits min and max inclusive. Each limit can be either an integer constant or a :variablename reference to a variable having an integer value.

Example:

\setrandom aid 1 :naccounts

\sleep number [ us | ms | s ]

Causes script execution to sleep for the specified duration in microseconds (us), milliseconds (ms) or seconds (s). If the unit is omitted then seconds are the default. number can be either an integer constant or a :variablename reference to a variable having an integer value.

Example:

\sleep 10 ms

\setshell varname command [ argument ... ]

Sets variable varname to the result of the shell command command. The command must return an integer value through its standard output.

argument can be either a text constant or a :variablename reference to a variable of any types. If you want to use argument starting with colons, you need to add an additional colon at the beginning of argument.

Example:

\setshell variable_to_be_assigned command literal_argument :variable ::literal_starting_with_colon

\shell command [ argument ... ]

Same as \setshell, but the result is ignored.

Example:

\shell command literal_argument :variable ::literal_starting_with_colon

As an example, the full definition of the built-in TPC-B-like transaction is:

\set nbranches :scale
\set ntellers 10 * :scale
\set naccounts 100000 * :scale
\setrandom aid 1 :naccounts
\setrandom bid 1 :nbranches
\setrandom tid 1 :ntellers
\setrandom delta -5000 5000
BEGIN;
UPDATE pgbench_accounts SET abalance = abalance + :delta WHERE aid = :aid;
SELECT abalance FROM pgbench_accounts WHERE aid = :aid;
UPDATE pgbench_tellers SET tbalance = tbalance + :delta WHERE tid = :tid;
UPDATE pgbench_branches SET bbalance = bbalance + :delta WHERE bid = :bid;
INSERT INTO pgbench_history (tid, bid, aid, delta, mtime) VALUES (:tid, :bid, :aid, :delta, CURRENT_TIMESTAMP);
END;

This script allows each iteration of the transaction to reference different, randomly-chosen rows. (This example also shows why it's important for each client session to have its own variables — otherwise they'd not be independently touching different rows.)

F.23.7. Per-transaction logging

With the -l option, pgbench writes the time taken by each transaction to a log file. The log file will be named pgbench_log.nnn, where nnn is the PID of the pgbench process. If the -j option is 2 or higher, creating multiple worker threads, each will have its own log file. The first worker will use the same name for its log file as in the standard single worker case. The additional log files for the other workers will be named pgbench_log.nnn.mmm, where mmm is a sequential number for each worker starting with 1.

The format of the log is:

client_id transaction_no time file_no time_epoch time_us

where time is the elapsed transaction time in microseconds, file_no identifies which script file was used (useful when multiple scripts were specified with -f), and time_epoch/time_us are a UNIX epoch format timestamp and an offset in microseconds (suitable for creating a ISO 8601 timestamp with fractional seconds) showing when the transaction completed.

Here are example outputs:

 0 199 2241 0 1175850568 995598
 0 200 2465 0 1175850568 998079
 0 201 2513 0 1175850569 608
 0 202 2038 0 1175850569 2663

F.23.8. Good Practices

It is very easy to use pgbench to produce completely meaningless numbers. Here are some guidelines to help you get useful results.

In the first place, never believe any test that runs for only a few seconds. Use the -t or -T option to make the run last at least a few minutes, so as to average out noise. In some cases you could need hours to get numbers that are reproducible. It's a good idea to try the test run a few times, to find out if your numbers are reproducible or not.

For the default TPC-B-like test scenario, the initialization scale factor (-s) should be at least as large as the largest number of clients you intend to test (-c); else you'll mostly be measuring update contention. There are only -s rows in the pgbench_branches table, and every transaction wants to update one of them, so -c values in excess of -s will undoubtedly result in lots of transactions blocked waiting for other transactions.

The default test scenario is also quite sensitive to how long it's been since the tables were initialized: accumulation of dead rows and dead space in the tables changes the results. To understand the results you must keep track of the total number of updates and when vacuuming happens. If autovacuum is enabled it can result in unpredictable changes in measured performance.

A limitation of pgbench is that it can itself become the bottleneck when trying to test a large number of client sessions. This can be alleviated by running pgbench on a different machine from the database server, although low network latency will be essential. It might even be useful to run several pgbench instances concurrently, on several client machines, against the same database server.

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