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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(dǎo) 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(wù) 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(dá)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(dá)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(dá)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(jìn)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(fù)合類型 8.16. 對象標(biāo)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(xué)函數(shù)和操作符 9.4. 字符串函數(shù)和操作符 9.5. 二進(jìn)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(dá)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(dá)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(dá)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(wù)隔離 13.3. 明確鎖定 13.4. 應(yīng)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(wù)器管理 章15. 安裝指導(dǎo) 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(wù)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(wù)器 17.4. 管理內(nèi)核資源 17.5. 關(guān)閉服務(wù) 17.6. 防止服務(wù)器欺騙 17.7. 加密選項 17.8. 用SSL進(jìn)行安全的TCP/IP連接 17.9. Secure TCP/IP Connections with SSH Tunnels 章18. 服務(wù)器配置 18.1. 設(shè)置參數(shù) 18.2. 文件位置 18.3. 連接和認(rèn)證 18.4. 資源消耗 18.5. 預(yù)寫式日志 18.6. 查詢規(guī)劃 18.7. 錯誤報告和日志 18.8. 運(yùn)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(yù)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(rèn)證 19.1. pg_hba.conf 文件 19.2. 用戶名映射 19.3. 認(rèn)證方法 19.4. 用戶認(rèn)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(hù)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(hù) 章24. 備份和恢復(fù) 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(fù)(PITR) 24.4. 版本間遷移 章25. 高可用性與負(fù)載均衡,復(fù)制 25.1. 不同解決方案的比較 25.2. 日志傳送備份服務(wù)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(fù)配置 26.1. 歸檔恢復(fù)設(shè)置 26.2. 恢復(fù)目標(biāo)設(shè)置 26.3. 備服務(wù)器設(shè)置 章27. 監(jiān)控數(shù)據(jù)庫的活動 27.1. 標(biāo)準(zhǔn)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(dǎo)致的失效 章29. 可靠性和預(yù)寫式日志 29.1. 可靠性 29.2. 預(yù)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(wù)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(wù)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(wù)器端編程 章35. 擴(kuò)展SQL 35.1. 擴(kuò)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(kuò)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(dá)式 39.5. 基本語句 39.6. 控制結(jié)構(gòu) 39.7. 游標(biāo) 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(jìn)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(yīng)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(wù)器應(yīng)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(yù)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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39.10. PL/pgSQL Under the Hood

This section discusses some implementation details that are frequently important for PL/pgSQL users to know.

39.10.1. Variable Substitution

SQL statements and expressions within a PL/pgSQL function can refer to variables and parameters of the function. Behind the scenes, PL/pgSQL substitutes query parameters for such references. Parameters will only be substituted in places where a parameter or column reference is syntactically allowed. As an extreme case, consider this example of poor programming style:

INSERT INTO foo (foo) VALUES (foo);

The first occurrence of foo must syntactically be a table name, so it will not be substituted, even if the function has a variable named foo. The second occurrence must be the name of a column of the table, so it will not be substituted either. Only the third occurrence is a candidate to be a reference to the function's variable.

Note: PostgreSQL versions before 9.0 would try to substitute the variable in all three cases, leading to syntax errors.

Since the names of variables are syntactically no different from the names of table columns, there can be ambiguity in statements that also refer to tables: is a given name meant to refer to a table column, or a variable? Let's change the previous example to

INSERT INTO dest (col) SELECT foo + bar FROM src;

Here, dest and src must be table names, and col must be a column of dest, but foo and bar might reasonably be either variables of the function or columns of src.

By default, PL/pgSQL will report an error if a name in a SQL statement could refer to either a variable or a table column. You can fix such a problem by renaming the variable or column, or by qualifying the ambiguous reference, or by telling PL/pgSQL which interpretation to prefer.

The simplest solution is to rename the variable or column. A common coding rule is to use a different naming convention for PL/pgSQL variables than you use for column names. For example, if you consistently name function variables v_something while none of your column names start with v_, no conflicts will occur.

Alternatively you can qualify ambiguous references to make them clear. In the above example, src.foo would be an unambiguous reference to the table column. To create an unambiguous reference to a variable, declare it in a labeled block and use the block's label (see Section 39.2). For example,

<<block>>
DECLARE
    foo int;
BEGIN
    foo := ...;
    INSERT INTO dest (col) SELECT block.foo + bar FROM src;

Here block.foo means the variable even if there is a column foo in src. Function parameters, as well as special variables such as FOUND, can be qualified by the function's name, because they are implicitly declared in an outer block labeled with the function's name.

Sometimes it is impractical to fix all the ambiguous references in a large body of PL/pgSQL code. In such cases you can specify that PL/pgSQL should resolve ambiguous references as the variable (which is compatible with PL/pgSQL's behavior before PostgreSQL 9.0), or as the table column (which is compatible with some other systems such as Oracle).

To change this behavior on a system-wide basis, set the configuration parameter plpgsql.variable_conflict to one of error, use_variable, or use_column (where error is the factory default). This parameter affects subsequent compilations of statements in PL/pgSQL functions, but not statements already compiled in the current session. To set the parameter before PL/pgSQL has been loaded, it is necessary to have added "plpgsql" to the custom_variable_classes list in postgresql.conf. Because changing this setting can cause unexpected changes in the behavior of PL/pgSQL functions, it can only be changed by a superuser.

You can also set the behavior on a function-by-function basis, by inserting one of these special commands at the start of the function text:

#variable_conflict error
#variable_conflict use_variable
#variable_conflict use_column

These commands affect only the function they are written in, and override the setting of plpgsql.variable_conflict. An example is

CREATE FUNCTION stamp_user(id int, comment text) RETURNS void AS $$
    #variable_conflict use_variable
    DECLARE
        curtime timestamp := now();
    BEGIN
        UPDATE users SET last_modified = curtime, comment = comment
          WHERE users.id = id;
    END;
$$ LANGUAGE plpgsql;

In the UPDATE command, curtime, comment, and id will refer to the function's variable and parameters whether or not users has columns of those names. Notice that we had to qualify the reference to users.id in the WHERE clause to make it refer to the table column. But we did not have to qualify the reference to comment as a target in the UPDATE list, because syntactically that must be a column of users. We could write the same function without depending on the variable_conflict setting in this way:

CREATE FUNCTION stamp_user(id int, comment text) RETURNS void AS $$
    <<fn>>
    DECLARE
        curtime timestamp := now();
    BEGIN
        UPDATE users SET last_modified = fn.curtime, comment = stamp_user.comment
          WHERE users.id = stamp_user.id;
    END;
$$ LANGUAGE plpgsql;

Variable substitution does not happen in the command string given to EXECUTE or one of its variants. If you need to insert a varying value into such a command, do so as part of constructing the string value, or use USING, as illustrated in Section 39.5.4.

Variable substitution currently works only in SELECT, INSERT, UPDATE, and DELETE commands, because the main SQL engine allows query parameters only in these commands. To use a non-constant name or value in other statement types (generically called utility statements), you must construct the utility statement as a string and EXECUTE it.

39.10.2. Plan Caching

The PL/pgSQL interpreter parses the function's source text and produces an internal binary instruction tree the first time the function is called (within each session). The instruction tree fully translates the PL/pgSQL statement structure, but individual SQL expressions and SQL commands used in the function are not translated immediately.

As each expression and SQL command is first executed in the function, the PL/pgSQL interpreter creates a prepared execution plan (using the SPI manager's SPI_prepare and SPI_saveplan functions). Subsequent visits to that expression or command reuse the prepared plan. Thus, a function with conditional code that contains many statements for which execution plans might be required will only prepare and save those plans that are really used during the lifetime of the database connection. This can substantially reduce the total amount of time required to parse and generate execution plans for the statements in a PL/pgSQL function. A disadvantage is that errors in a specific expression or command cannot be detected until that part of the function is reached in execution. (Trivial syntax errors will be detected during the initial parsing pass, but anything deeper will not be detected until execution.)

A saved plan will be re-planned automatically if there is any schema change to any table used in the query, or if any user-defined function used in the query is redefined. This makes the re-use of prepared plans transparent in most cases, but there are corner cases where a stale plan might be re-used. An example is that dropping and re-creating a user-defined operator won't affect already-cached plans; they'll continue to call the original operator's underlying function, if that has not been changed. When necessary, the cache can be flushed by starting a fresh database session.

Because PL/pgSQL saves execution plans in this way, SQL commands that appear directly in a PL/pgSQL function must refer to the same tables and columns on every execution; that is, you cannot use a parameter as the name of a table or column in an SQL command. To get around this restriction, you can construct dynamic commands using the PL/pgSQL EXECUTE statement — at the price of constructing a new execution plan on every execution.

Another important point is that the prepared plans are parameterized to allow the values of PL/pgSQL variables to change from one use to the next, as discussed in detail above. Sometimes this means that a plan is less efficient than it would be if generated for a specific variable value. As an example, consider

SELECT * INTO myrec FROM dictionary WHERE word LIKE search_term;

where search_term is a PL/pgSQL variable. The cached plan for this query will never use an index on word, since the planner cannot assume that the LIKE pattern will be left-anchored at run time. To use an index the query must be planned with a specific constant LIKE pattern provided. This is another situation where EXECUTE can be used to force a new plan to be generated for each execution.

The mutable nature of record variables presents another problem in this connection. When fields of a record variable are used in expressions or statements, the data types of the fields must not change from one call of the function to the next, since each expression will be planned using the data type that is present when the expression is first reached. EXECUTE can be used to get around this problem when necessary.

If the same function is used as a trigger for more than one table, PL/pgSQL prepares and caches plans independently for each such table — that is, there is a cache for each trigger function and table combination, not just for each function. This alleviates some of the problems with varying data types; for instance, a trigger function will be able to work successfully with a column named key even if it happens to have different types in different tables.

Likewise, functions having polymorphic argument types have a separate plan cache for each combination of actual argument types they have been invoked for, so that data type differences do not cause unexpected failures.

Plan caching can sometimes have surprising effects on the interpretation of time-sensitive values. For example there is a difference between what these two functions do:

CREATE FUNCTION logfunc1(logtxt text) RETURNS void AS $$
    BEGIN
        INSERT INTO logtable VALUES (logtxt, 'now');
    END;
$$ LANGUAGE plpgsql;

and:

CREATE FUNCTION logfunc2(logtxt text) RETURNS void AS $$
    DECLARE
        curtime timestamp;
    BEGIN
        curtime := 'now';
        INSERT INTO logtable VALUES (logtxt, curtime);
    END;
$$ LANGUAGE plpgsql;

In the case of logfunc1, the PostgreSQL main parser knows when preparing the plan for the INSERT that the string 'now' should be interpreted as timestamp, because the target column of logtable is of that type. Thus, 'now' will be converted to a constant when the INSERT is planned, and then used in all invocations of logfunc1 during the lifetime of the session. Needless to say, this isn't what the programmer wanted.

In the case of logfunc2, the PostgreSQL main parser does not know what type 'now' should become and therefore it returns a data value of type text containing the string now. During the ensuing assignment to the local variable curtime, the PL/pgSQL interpreter casts this string to the timestamp type by calling the text_out and timestamp_in functions for the conversion. So, the computed time stamp is updated on each execution as the programmer expects.

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