1. Oracle SQL / SQL*Plus Úvod
Oracle Relational Database Management System (RDBMS) je špičkový databázový systém určený pro ukládání a získávání kritických dat. RDBMS je odpovědný za přesné ukládání dat a efektivní získávání těchto dat v reakci na dotazy uživatelů.
Oracle Corporation také dodává nástroje rozhraní pro přístup k datům uloženým v databázi Oracle. Dva z těchto nástrojů jsou známé jako SQL*Plus, rozhraní příkazového řádku a Vývojář , sbírka formulářů, sestav a grafických rozhraní. Tento výukový program představuje funkce nástroje SQL*Plus a poskytuje ukázky jeho hlavních funkcí.
Tento výukový program je určen pro studenty a databázové odborníky, kteří vyžadují úvod do SQL, úvod do práce s nástrojem Oracle SQL*Plus nebo obojí.
Tento dokument je uspořádán následovně. Stručný přehled sady produktů Oracle je poprvé uveden v části 2. V části 3 probíráme základy práce s nástrojem SQL*Plus. Structured Query Language (SQL), včetně jazyka pro definici dat (DDL) a jazyka pro manipulaci s daty (DML) je diskutován v části 4. Pokročilé příkazy SQL*Plus jsou diskutovány v části 5 a stručný úvod k uloženým procedurám a spouštěčům je uveden v části 6.
Obsah
- 1. Úvod
- 2. Produkty Oracle:Přehled
- 2.1 Nástroje pro vývoj aplikací
- 2.2 Databázové nástroje
- 2.3 Produkty pro připojení
- 2.4 Základní databázový stroj
- 2.5 Vývojová prostředí
- 3. Základy Oracle SQL*Plus
- 3.1 Spuštění Oracle SQL*Plus a/nebo SQL Developer
- 3.2 Příkazy SQL*Plus
- 3.3 Nástroje nápovědy SQL*Plus
- 4. Jazyk SQL
- 4.1 Příkazy SQL
- 4.2 SQL Data Definition Language
- 4.2.1 Vytváření, úprava a vypouštění tabulek, zobrazení, indexů a sekvencí
- 4.2.2 Prohlášení GRANT a REVOKE
- 4.2.3 Synonyma
- 4.3 SQL Data Manipulation Language
- 4.3.1 Vybrat, vložit, aktualizovat, odstranit, potvrdit a vrátit data
- 4.3.2 Zobrazení metadat tabulky
- 4.3.3 Pseudosloupce Oracle
- 4.3.4 Funkce Oracle SQL
- 4.3.5 Příklady příkazů SQL DML
- Základní vybrané příkazy
- Výběr ze 2 nebo více stolů
- Rekurzivní dotazy a aliasy tabulek
- Dotazy na strom
- Výrazy klauzule WHERE
- Příklady funkcí SQL
- Příkazy SQL DELETE
- Příkazy SQL UPDATE
- 5. Pokročilé příkazy SQL*Plus
- 5.1 Úprava vyrovnávací paměti SQL
- 5.2 Formátování výstupu SQL*Plus
- 5.3 Uložení výstupu SQL*Plus pomocí příkazu SPOOL
- 5.4 Výzva a přijímání uživatelského vstupu
- 5.5 Generování výstupu HTML z SQL*Plus
- 5.6 Shromažďování statistik a profilování příkazů SQL
- 5.7 Použití příkazu ALTER SESSION pro formáty data
- 6. Uložené procedury a spouštěče v Oracle
- 6.1 Syntaxe Oracle Trigger
- 6.2 Příklad spouštění Oracle
- 6.3 Příklad uložené procedury Oracle
2. Produkty Oracle:Přehled
Sada produktů Oracle obsahuje následující nástroje a utility:
2.1 Nástroje pro vývoj aplikací
- SQL*Plus – Nástroj příkazového řádku používaný k manipulaci s tabulkami a dalšími databázovými objekty v databázi Oracle.
- Vývojář SQL – Výkonný nástroj GUI používaný k manipulaci s tabulkami a dalšími databázovými objekty v databázi Oracle.
- Formuláře Oracle – Nástroj založený na GUI používaný k vývoji formulářů pro zadávání dat a nabídek, které přistupují k tabulkám v databázi Oracle.
- Přehledy Oracle – Nástroj založený na GUI používaný k vývoji sestav, které přistupují k tabulkám v databázi Oracle.
- Oracle JDeveloper – Integrované vývojové prostředí Java pro všeobecné použití, ve kterém jsou předem zavedeny třídy a metody používané k připojení a manipulaci se schématy v databázích Oracle. Kolekce průvodců vývojem kódu umožňuje vývojářům rychle vytvářet formuláře pro zadávání dat jako Java aplikace nebo applety a také sestavy pomocí Java Server Pages (JSP).
- Oracle Designer – Grafický nástroj používaný k vytváření a zobrazování modelů obsažených v CASE*Dictionary. CASE*Dictionary je úložiště obchodních pravidel, funkčních modelů a datových modelů používaných pro organizaci a dokumentaci úsilí o vývoj aplikací. CASE*Generator je nástroj pro generování kódu, který využívá informace uložené v CASE*Dictionary k vývoji formulářů pro zadávání dat, sestav a grafiky.
- Programátor – Včetně předkompilátorů Pro* – Knihovny rutin a utilit, které lze propojit s jazyky „C“, C++, FORTRAN, Java, ADA, COBOL nebo jinými hostitelskými jazyky a umožnit tak přístup k databázím Oracle.
Sada nástrojů pro vývojáře byla původně zaměřena na vývoj tradičních dvouvrstvých aplikací klient/server, kde klientská strana drží formuláře a sestavy uživatelská rozhraní a také většinu obchodní logiky. Obchodní logika je implementována pomocí jazyka Oracle PL/SQL. Tyto nástroje byly neustále revidovány, aby vyhovovaly třívrstvé architektuře, kde klient zpracovává pouze prvky uživatelského rozhraní, zatímco „střední vrstva“ se stará o zpracování obchodní logiky. Aktuální vydání (k podzimu 2014) je Oracle Developer Suite 11g.
2.2 Databázové nástroje
- Enterprise Manager – Sbírka nástrojů pro správu databází Oracle založená na GUI.
- SQL*DBA a SVRMGR – Nástroj, který umožňuje správci databáze (DBA) sledovat aktivitu databáze a vyladit databázi pro optimální výkon.
- Export/Import – Nástroje příkazového řádku, které umožňují uživateli nebo správci databází exportovat data z databáze Oracle do strojově čitelného souboru nebo importovat data ze strojově čitelného souboru do databáze Oracle.
- SQL*Loader – Nástroj příkazového řádku pro načtení ASCII nebo binárních datových souborů do databáze Oracle.
- Oracle*Terminál – Obslužný program používaný k přizpůsobení uživatelského rozhraní a mapování klávesnice pro všechny nástroje Oracle. Tento nástroj umožňuje všem nástrojům Oracle mít podobný „vzhled a chování“ na mnoha různých platformách hardwaru a operačních systémů.
2.3 Produkty pro připojení a middleware
- SQL*Net a Net8 – Komunikační ovladač, který umožňuje nástroji Oracle spuštěnému na klientském počítači přistupovat k datům Oracle na samostatném serveru.
- SQL*Connect a brány Oracle – Komunikační ovladač, který umožňuje nástroji Oracle spuštěnému na klientském počítači přistupovat k datům jiných společností než Oracle na serverovém počítači, jako jsou data uložená v databázi DB2 nebo databázi MS SQL Server.
- Server ORACLE – Tato komponenta, která je obvykle součástí Oracle RDBMS běžící na databázovém serveru, přijímá požadavky z klientských počítačů a odesílá je do Oracle RDBMS. Výsledky jsou poté předány zpět do klientských počítačů.
- Ovladače Oracle ODBC – Otevřete ovladače DataBase Connectivity pro připojení softwaru k databázím Oracle pomocí standardu ODBC.
2.4 Oracle Core Database Engine
- ORACLE RDBMS – Oracle Relational Database Engine s několika možnostmi kromě správy relačních dat. Mezi tyto možnosti patří:
- Oracle Web Applications Server – WWW server (HTTP server) propojený s Oracle RDBMS. Umožňuje webovým aplikacím pomocí formulářů HTML a Java přistupovat k datům a manipulovat s nimi.
- Prostorová data – Umožňuje ukládání časových a prostorových dat v Oracle RDBMS. Užitečné pro geografické informační systémy (GIS).
- Video – Poskytuje úložiště a poskytování streamovaného videa v reálném čase.
- ConText – Poskytuje ukládání a načítání textových dokumentů.
- Zprávy – Groupwarová architektura postavená na RDBMS.
- OLAP – Nástroje a databázová podpora pro on-line analytické zpracování.
- Data mining – Nástroje a databázová podpora pro dolování dat.
- Integrovaný datový slovník – Ukládá a spravuje přístup ke všem tabulkám vlastněným všemi uživateli v systému.
- SQL – Jazyk používaný pro přístup a manipulaci s databázovými daty.
- PL/SQL – Procedurální rozšíření jazyka SQL jedinečné pro řadu produktů Oracle.
2.5 Typická vývojová prostředí Oracle
Vývoj aplikací pomocí databáze Oracle vyžaduje přístup ke kopii Oracle RDBMS (nebo centrálnímu serveru Oracle RDBMS) a jednomu nebo více vývojovým nástrojům. Pro vývoj aplikací lze také použít vývojové nástroje třetích stran, jako je PowerBuilder, Visual Basic nebo Java.
Samostatný vývoj v prostředí jednoho uživatele lze provést pomocí Personal Oracle nebo Personal Oracle Lite RDBMS ve spojení s Oracle Developer nebo vývojovým nástrojem třetí strany.
Vývoj pro více uživatelů ve sdíleném prostředí lze provést pomocí serveru Oracle RDBMS běžícího na serveru. Distribuované klientské počítače mohou vyvíjet aplikace pomocí kteréhokoli z výše uvedených nástrojů.
Bez ohledu na použité vývojové prostředí je nástroj Oracle SQL*Plus pohodlným a schopným nástrojem pro manipulaci s daty v databázi Oracle. V následující části je představen nástroj SQL*Plus.
3. Základy SQL*Plus
Oracle SQL*Plus je nástroj příkazového řádku, který umožňuje uživateli zadávat příkazy SQL, které mají být spouštěny přímo v databázi Oracle. SQL*Plus má schopnost formátovat výstup databáze, ukládat často používané příkazy a lze jej vyvolat z jiných nástrojů Oracle nebo z příkazového řádku operačního systému.
V následujících částech budou ukázány základní funkce SQL*Plus spolu s ukázkovými vstupy a výstupy, které demonstrují některé z mnoha funkcí tohoto produktu.
3.1 Spuštění SQL*Plus
V této části uvádíme několik obecných pokynů, jak se dostat do programu SQL*Plus a připojit se k databázi Oracle. Konkrétní pokyny pro vaši instalaci se mohou lišit v závislosti na používané verzi SQL*Plus, na tom, zda se používá SQL*Net nebo Net8 atd.
Některé tipy pro získání a instalaci softwaru Oracle naleznete na tomto odkazu.
Pokud máte nainstalovanou verzi Oracle Express Edition, tento odkaz. popíše, jak spouštět příkazy SQL v aplikaci Oracle Application Express.
Před použitím nástroje SQL*Plus nebo jakéhokoli jiného vývojového nástroje nebo nástroje musí uživatel získat účet Oracle pro DBMS. Tento účet bude obsahovat uživatelské jméno, heslo a volitelně hostitelský řetězec označující databázi, ke které se má připojit. Tyto informace lze obvykle získat od správce databáze.
Následující pokyny platí pro dvě běžně používané instalace:klient Windows XP nebo Windows 7 (dále jen klient Windows) se serverem Oracle a instalace UNIX/LINUX.
3.1.1 Spuštění SQL*Plus v systému Windows
Spuštění programu příkazového řádku SQL*Plus z Windows , klikněte na 
tlačítko, Programy, Oracle – OraHomeXX, Vývoj aplikací a poté SQL*Plus. Přibližně po 15 sekundách se objeví přihlašovací obrazovka SQL*Plus.
(Všimněte si, že XX je nahrazeno verzí databáze, kterou používáte, např. 81 pro Oracle8i, 90 pro Oracle9i atd.).
V části Uživatelské jméno: zadejte své uživatelské jméno Oracle.
Stisknutím klávesy TAB přejděte na další pole.
V části Heslo: zadejte své heslo Oracle.
Stisknutím klávesy TAB přejděte na další pole.
V Hostitelském řetězci: zadejte do pole Název služby hostitele Oracle, ke kterému se chcete připojit.
Pokud je DBMS Personal Oracle lite, pak tento řetězec může být ODBC:POLITE. Pokud je DBMS lokální osobní databází Oracle8, 8i nebo 9i, pak může být hostitelský řetězec buď beq-local, nebo v některých případech můžete toto pole ponechat prázdné a připojit se k instanci vaší lokální databáze. Ujistěte se, že je spuštěna vaše místní instance. U instalací typu klient/server s SQL*Net nebo Net8 bude tento řetězec představovat název služby nastavený pomocným softwarem SQL*Net nebo Net8.
Nakonec klikněte na tlačítko OK a dokončete proces přihlášení Oracle. SQL*Plus poté vytvoří relaci s Oracle DBMS a objeví se výzva SQL*Plus (SQL> ). Následující obrázek ukazuje výsledky přihlášení do Oracle pomocí SQL*Plus:
Příkazový řádek SQL*Plus na Oracle 11g
Pokud používáte Oracle Database 11g Express Edition poté se v nabídce Start -> Programy objeví následující položky:
Spustit příkazový řádek SQL zkratka spustí SQL*Plus s volbou /NOLOG, takže vás nebude automaticky vyžadovat zadání uživatelského jména a hesla. Místo toho zobrazí výzvu SQL>. V tomto případě pro připojení k databázi zadejte příkaz CONNECT a vyplňte odpovědi na výzvy.
Chyby při připojování k databázi
Existuje řada situací, ve kterých může dojít k chybě:
- Můžete chybně zadat své uživatelské jméno, heslo a/nebo hostitelský řetězec
- SQL*Plus a SQL*Net nemusí být na vašem klientovi Windows správně nakonfigurovány.
- Síť mezi vaším klientem Windows a serverem Oracle může mít problém
- Server Oracle může být dočasně vypnutý nebo jinak nedostupný
V kterémkoli z výše uvedených případů bude vrácena chybová zpráva. Pokud server Oracle není dostupný nebo pokud zadáte špatné uživatelské jméno nebo heslo, bude okamžitě vrácena chyba. Pokud dojde k problému se sítí, SQL*Plus může trvat několik minut, než vrátí chybu.
Zde jsou některé běžné chybové zprávy a několik návrhů, jak je vyřešit:
- CHYBA:ORA-12154:TNS:Nelze přeložit název služby
- Buď byl řetězec Host zadán chybně, nebo SQL*Net nebo Net8 nejsou správně nakonfigurovány. Ukončete SQL*Plus a zkuste se znovu přihlásit. Pokud chyba přetrvává, zkuste jiný počítač.
- CHYBA:ORA-01017:neplatné uživatelské jméno/heslo; přihlášení odepřeno
- Uživatelské jméno nebo heslo bylo zadáno nesprávně. Ukončete SQL*Plus a zkuste to znovu.
Většina verzí SQL*Plus bohužel znovu nezobrazí přihlašovací obrazovku, pokud je váš pokus o připojení neúspěšný. SQL*Plus byste měli úplně ukončit stažením nabídky Soubor a výběrem položky nabídky Konec. Poté spusťte SQL*Plus znovu od začátku.
Pro uživatele nové instalace Peronsal Oracle8, 8i nebo 9i je výchozí uživatelské jméno/heslo, které je již nastaveno, SCOTT/TIGER. Výchozí účet DBA pro všechny databáze Oracle je SYSTEM/MANAGER. Důrazně vás však nedoporučujeme procvičovat nebo provádět vývojovou práci ve schématu SYSTEM, protože může dojít k nenapravitelnému poškození vaší databáze.
Pro uživatele Personal Oracle Lite je po instalaci softwaru vytvořeno výchozí schéma databáze. Chcete-li se přihlásit do Personal Oracle Lite pomocí SQL*Plus, zadejte na přihlašovací obrazovce SQL*Plus následující hodnoty:
V části Uživatelské jméno: zadejte OOT_SCH
V části Heslo: zadejte OOT_SCH
V Hostitelském řetězci: zadejte ODBC:POLITE.
3.1.2 Spouštění SQL*Plus pod UNIX/LINUX
Ověřte si u svého správce systému, zda jsou pro spuštění SQL*Plus v prostředí Linuxu nebo Unixu potřeba nějaké speciální příkazy. Konkrétně Oracle vyžaduje nastavení některých proměnných prostředí shellu. Níže uvedené pokyny předpokládají, že toto vše bylo nastaveno.
Chcete-li spustit SQL*Plus pod Unixem nebo Linux , přihlaste se ke svému účtu Unix/Linux a na příkazovém řádku shellu (zobrazeného jako unix% níže) zadejte příkaz sqlplus následovaný návratem vozíku. Až budete vyzváni k zadání uživatelského jména, zadejte své uživatelské jméno Oracle (může být stejné nebo odlišné od názvu vašeho účtu Unix/Linux). Až budete vyzváni k zadání hesla, zadejte heslo svého účtu Oracle (nemělo by se shodovat s heslem vašeho účtu Unix/Linux).
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Chcete-li ukončit program SQL*Plus (v libovolném operačním systému), napište EXIT a stiskněte Enter nebo návrat vozíku:
SQL> EXIT
<1 name="sqldeveloper">
Vývojář SQL
Oracle SQL Developer je nástroj pro grafické uživatelské rozhraní se širokou škálou funkcí užitečných pro vývoj databázových aplikací. Kromě poskytování připojení k databázím Oracle můžete použít SQL Developer k odesílání příkazů SQL proti databázi nebo schématu (jako u SQL*Plus), zpětné analýze schématu do datového modelu, správě OLAP krychlí, spouštění úloh dolování dat a mnoha dalších více.
Oracle SQL Developer je k dispozici ke stažení zdarma z Oracle Technology Network. Vyžaduje instalaci sady Java Development Kit (JDK) na stejném počítači. SQL Developer se obvykle jednoduše rozbalí (dekomprimuje) do složky, jako je c:\sqldeveloper nebo c:\oracle\sqldeveloper nebo něco podobného.
Chcete-li spustit SQL Developer, přejděte do složky, kde byl SQL Developer rozbalen, a spusťte sqldeveloper.exe program. Můžete být vyzváni k zadání cesty ke složce Java Development Kit (JDK).
Jakmile je SQL Developer spuštěn, vytvořte nové připojení k databázi kliknutím na zelené znaménko plus v okně Připojení. Vyplňte příslušné uživatelské jméno, heslo a informace o připojovacím řetězci. Klepnutím na tlačítko Test se ujistěte, že připojení funguje. Poté uložte připojení a nakonec klikněte na tlačítko Připojit pro připojení k databázi. Měl by se objevit nový list SQL a v tu chvíli můžete začít psát příkaz SQL a odeslat je do databáze.
Webové stránky s emulátory Oracle
I když nemáte nainstalovaný Oracle, stále můžete procvičovat SQL pomocí webového emulátoru Oracle SQL. Dva příklady jsou tutoriály Point Oracle Terminal On-Line a SQL Fiddle.
Snad nejlepším dostupným nástrojem (od ledna 2017) je vlastní LiveSQL společnosti Oracle. Pokyny a příklady naleznete v tomto návodu.
Po vytvoření relace pomocí nástroje SQL*Plus mohou být vydány jakékoli příkazy SQL nebo příkazy SQL*Plus. Ve výchozím nastavení jsou všechny příkazy směrovány do schématu uživatele (které má stejný název jako uživatelské jméno Oracle). V následující části jsou představeny základní příkazy SQL*Plus.
3.2 SQL*Plus příkazy
Příkazy SQL*Plus umožňují uživateli manipulovat a odesílat příkazy SQL. Konkrétně umožňují uživateli:
- Zadávání, úpravy, ukládání, načítání a spouštění příkazů SQL
- Seznam definic sloupců pro všechny tabulky
- Formátovat, provádět výpočty, ukládat a tisknout výsledky dotazů ve formě zpráv
- Přístup a kopírování dat mezi databázemi SQL
Následuje seznam příkazů SQL*Plus a jejich funkcí. Nejčastěji používané příkazy jsou zdůrazněny kurzívou:
- / – Proveďte aktuální příkaz SQL ve vyrovnávací paměti – stejně jako RUN
- AKCEPTOVAT – Přijměte hodnotu od uživatele a vložte ji do proměnné
- APPEND – Přidá text na konec aktuálního řádku příkazu SQL ve vyrovnávací paměti
- AUTOTRACE – sledování plánu provádění příkazu SQL a shromažďování statistik
- BREAK – Nastavení chování formátování pro výstup příkazů SQL
- BTITLE – Umístěte název na spodní část každé stránky výtisku z příkazu SQL
- ZMĚNA – Nahradí text na aktuálním řádku příkazu SQL novým textem
- CLEAR – Vymazání vyrovnávací paměti
- SLOUPEC – Změna vzhledu výstupního sloupce z dotazu
- COMPUTE – provádí výpočty na řádcích vrácených z příkazu SQL
- CONNECT – připojení k jiné databázi Oracle nebo ke stejné databázi Oracle pod jiným uživatelským jménem
- KOPÍROVAT – Kopírování dat z jedné tabulky do druhé ve stejné nebo různých databázích
- DEL – Odstraní aktuální řádek ve vyrovnávací paměti
- DESCRIBE – Seznam sloupců s datovými typy tabulky (lze zkrátit jako DESC)
- UPRAVIT – Upravit aktuální příkaz SQL ve vyrovnávací paměti pomocí externího editoru, jako je vi nebo emacs
- EXIT – Ukončí program SQL*Plus
- GET – Načte příkaz SQL do vyrovnávací paměti, ale neprovádějte jej
- NÁPOVĚDA – Získejte nápovědu pro příkaz SQL*Plus (v některých instalacích)
- HOST – Přesuňte se do prostředí operačního systému
- INPUT – Přidejte jeden nebo více řádků do příkazu SQL ve vyrovnávací paměti
- LIST – Vypíše aktuální příkaz SQL ve vyrovnávací paměti
- QUIT – Ukončete program SQL*Plus
- POZNÁMKA – Vložte komentář za klíčové slovo REMARK
- RUN – Proveďte aktuální příkaz SQL ve vyrovnávací paměti
- ULOŽIT – Uložte aktuální příkaz SQL do souboru skriptu
- SET – nastavení proměnné prostředí na novou hodnotu
- ZOBRAZIT – zobrazí aktuální hodnotu proměnné prostředí
- SPOOL – Odešlete výstup z příkazu SQL do souboru
- START – Načtěte příkaz SQL umístěný v souboru skriptu a poté tento příkaz SQL spusťte
- ČASOVÁNÍ – Používá se k načasování provádění příkazů SQL pro analýzu výkonu
- TITUL – Umístěte název na horní část každé stránky ve výtisku z příkazu SQL
- UNDEFINE – smazání uživatelem definované proměnné
Příklady těchto příkazů SQL*Plus jsou uvedeny v následujících částech.
Všimněte si rozdílu mezi příkazy SQL*Plus a příkazy SQL . Příkazy SQL*Plus jsou vlastnictvím nástroje Oracle SQL*Plus. SQL je standardní jazyk, který lze použít téměř pro jakýkoli systém správy relačních databází (RDBMS).
3.3 Nástroje nápovědy SQL*Plus
Některé verze SQL*Plus ukládají dokumentaci nápovědy do databáze a zpřístupňují ji prostřednictvím příkazového řádku SQL*Plus. Novější instalace to změnily a nyní ukládají dokumentaci ve formátu HTML, který lze číst pomocí prohlížeče World Wide Web, jako je MS Internet Explorer nebo Firefox.
Následující dvě části popisují, jak vyvolat nápovědu v SQL*Plus v systémech Windows a UNIX. Metoda, kterou používáte pro přístup k nápovědě, se může lišit podle toho, jak byl váš software nainstalován.
3.3.1 Získání nápovědy v systému Windows
Chcete-li získat NÁPOVĚDU k některému z nástrojů Oracle, použijte dokumentaci Oracle8 nebo Oracle8i, která je přístupná prostřednictvím webového prohlížeče. Pro přístup k dokumentaci Oracle8 klikněte na Windows tlačítko, poté Programy, Oracle – OraHomeXX a nakonec Dokumentace Oracle8:
. Tím se spustí váš místní webový prohlížeč (Netscape Navigator/Communicator nebo Microsoft Internet Explorer) a zobrazí se okno Vítejte v knihovně dokumentace Oracle8! se zobrazí obrazovka. Odtud se kliknutím na odkaz „TEXTOVÁ VERZE“ dostanete do knihovny Oracle Product Documentation Library.
Na hlavní obrazovce dokumentace Oracle8 klikněte na Oracle8 Enterprise Edition a poté na SQL*Plus Getting Started for Windows. Další dokumentace, která může být užitečná, je:
| Soubor nápovědy/odkaz | Obsah |
|---|---|
| Reference SQL | Komplexní syntaxe pro všechny příkazy SQL |
| SQL*Plus Začínáme pro Windows | Specifické příkazy a možnosti SQL*Plus pro uživatele Windows NT/2000/XP. |
| Rychlý průvodce SQL*Plus | Rychlá referenční příručka k příkazům SQL*Plus. |
| Uživatelská příručka a reference SQL*Plus | Komplexní průvodce používáním SQL*Plus. |
Každý z nich lze nalézt na stejné stránce Oracle8 Enterprise Edition.
Všimněte si, že uspořádání obrazovky nápovědy a online dokumentace v jiných verzích Oracle8 a Oracle8i se může mírně lišit.
3.3.2 Získání nápovědy v systému UNIX
SQL> HELP SELECT
SELECT command
PURPOSE: To retrieve data from one or more tables, views, or snapshots.
SYNTAX: SELECT [DISTINCT | ALL] { *
| { [schema.]{table | view | snapshot}.*
| expr } [ [AS] c_alias ]
[, { [schema.]{table | view | snapshot}.*
| expr } [ [AS] c_alias ] ] ... }
FROM [schema.]{table | view | subquery | snapshot} [t_alias] [, [schema.]... ] ...
[WHERE condition ]
[ [START WITH condition] CONNECT BY condition]
[GROUP BY expr [, expr] ... [HAVING condition] ]
[{UNION | UNION ALL | INTERSECT | MINUS} SELECT command ]
[ORDER BY {expr|position} [ASC | DESC]
[, {expr|position} [ASC | DESC]] ...]
[FOR UPDATE [OF [[schema.]{table | view}.]column
[, [[schema.]{table | view}.]column] ...] ]
etc.
Jako poslední poznámku, Oracle zpřístupňuje většinu své dokumentace na svých webových stránkách v Oracle Documentation Center na http://www.oracle.com/technetwork/documentation/
4. Jazyk SQL
Structured Query Language (SQL) je jazyk používaný k manipulaci s relačními databázemi. SQL je velmi úzce svázán s relačním modelem.
V relačním modelu jsou data uložena ve strukturách nazývaných relace nebo tabulky . Každá tabulka má jeden nebo více atributů nebo sloupců které popisují tabulku. V relačních databázích je tabulka základním stavebním kamenem databázové aplikace. Tabulky se používají k ukládání dat o zaměstnancích, vybavení, materiálech, skladech, nákupních objednávkách, zákaznických objednávkách atd. Sloupce v tabulce Zaměstnanci mohou být například Příjmení, Jméno, Plat, Datum přijetí, Číslo sociálního pojištění atd. .
Příkazy SQL jsou vydávány za účelem:
- Definice dat – Definování tabulek a struktur v databázi (DB).
- Manipulace s daty – vkládání nových dat, aktualizace stávajících dat, mazání stávajících dat a dotazování na databázi (načítání existujících dat z databáze).
Jiný způsob, jak to říci, je, že jazyk SQL se ve skutečnosti skládá z 1) jazyka pro definici dat (DDL), který se používá k vytváření, úpravě a odstraňování objektů scema, jako jsou tabulky a indexy, a 2) jazyka pro manipulaci s daty (DML), který se používá k manipulovat s daty v těchto objektech schématu.
Jazyk SQL byl standardizován ANSI X3H2 Database Standards Committee. Dva nejnovější standardy jsou SQL-92 a SQL-99. V průběhu let každý dodavatel relačních databází zavedl nové příkazy k rozšíření jejich konkrétní implementace SQL. Implementace jazyka SQL společnosti Oracle8i odpovídá standardům SQL-99 „Entry Level“ a je částečně v souladu s přechodnými, středními a úplnými úrovněmi SQL-99. Další podrobnosti o přesně vyhovujících a nevyhovujících funkcích naleznete v příručce Oracle8i nebo Oracle9i SQL Reference.
4.1 Příkazy SQL
Následuje abecední seznam příkazů SQL, které lze vydat proti schématu databáze Oracle. Tyto příkazy jsou dostupné všem uživatelům databáze Oracle. Nejčastěji se používají zvýrazněné položky.
- ALTER – Změna existující definice tabulky, pohledu nebo indexu (DDL)
- AUDIT – sledování změn provedených v tabulce (DDL)
- KOMENTÁŘ – Přidání komentáře k tabulce nebo sloupci v tabulce (DDL)
- COMMIT – Učiní všechny poslední změny trvalé (DML – transakční)
- VYTVOŘIT – Vytvářejte nové databázové objekty, jako jsou tabulky nebo pohledy (DDL)
- SMAZAT – Odstranění řádků z databázové tabulky (DML)
- DROP – Zrušte databázový objekt, jako je tabulka, pohled nebo index (DDL)
- GRANT – Povolit jinému uživateli přístup k databázovým objektům, jako jsou tabulky nebo pohledy (DDL)
- INSERT – Vložit nová data do databázové tabulky (DML)
- Žádný AUDIT – Vypněte funkci auditování (DDL)
- REVOKE – zakáže uživateli přístup k databázovým objektům, jako jsou tabulky a pohledy (DDL)
- ROLLBACK – Vrácení všech posledních změn v databázi (DML – Transakční)
- VYBRAT – Načtení dat z databázové tabulky (DML)
- ZKRÁTIT – Odstraní všechny řádky z databázové tabulky (nelze vrátit zpět) (DML)
- AKTUALIZACE – Změňte hodnoty některých datových položek v databázové tabulce (DML)
Následuje několik krátkých příkladů příkazů SQL. U všech příkladů v tomto tutoriálu jsou klíčová slova používaná SQL a Oracle uvedena velkými písmeny, zatímco informace specifické pro uživatele, jako jsou názvy tabulek a sloupců, jsou uvedeny malými písmeny.
Chcete-li vytvořit novou tabulku pro data zaměstnanců, použijeme příkaz CREATE TABLE:
CREATE TABLE employee (employeeid VARCHAR2(9) NOT NULL, fname VARCHAR2(8), minit VARCHAR2(2), lname VARCHAR2(8), bdate DATE, address VARCHAR2(27), sex VARCHAR2(1), salary NUMBER(7) NOT NULL, superempid VARCHAR2(9), dno NUMBER(1) NOT NULL) ;
Pro vložení nových dat do tabulky zaměstnanců použijeme příkaz INSERT:
INSERT INTO employee
VALUES ('132451122', 'BUD', 'T', 'WILLIAMS',
'24-JAN-1974', '987 Western Way, Plano, TX',
'M', 42000, NULL, 5);
INSERT INTO employee
VALUES ('004321234', 'JANE', 'V', 'SMITH',
'04-JUL-1983', '44 Forth St., Easytown, WA',
'F', 56000, '132451122', 4);
Chcete-li načíst seznam všech zaměstnanců s platem vyšším než 30 000 z tabulky zaměstnanců, může být vydán následující příkaz SQL (Všimněte si, že všechny příkazy SQL končí středníkem):
SELECT fname, lname, salary FROM employee WHERE salary > 30000;
To give each employee in department 5 a 4 percent raise, the following SQL statement might be issued:
UPDATE employee
SET salary = salary * 1.04
WHERE dno = 5;
To delete an employee record from the database, the following SQL statement might be issued:
DELETE FROM employee
WHERE employeeid = '004321234' ;
The above statements are just a brief example of some of the many SQL statements and variations that are used with relational database management systems. The full syntax of these commands and additional examples are given on the next pages.
4.2 SQL Data Definition Language
In this section, the basic SQL Data Definition Language (DDL) statements are introduced and their syntax is given with examples.
An Oracle database can contain one or more schemas . A schema is a collection of database objects that can include:tables, views, indexes and sequences. By default, each user has their own the schema which has the same name as the Oracle username. For example, a single Oracle database can have separate schemas for HOLOWCZAK, JONES, JSHIH, SMITH and GREEN.
Any object in the database must be created in only one schema. The object name is prefixed by the schema name as in:schema.object_name
By default, all objects are created in the user’s own schema. For example, when JONES creates a database object such as a table, it is created in her own schema. If JONES creates an EMPLOYEE table, the full name of the table becomes:JONES.EMPLOYEE . Thus database objects with the same name can be created in more than one schema. This feature allows each user to have their own EMPLOYEE table, for example.
Database objects can be shared among several users by specifying the schema name. In order to work with a database object from another schema, a user must be granted authorization. See the section below on GRANT and REVOKE for more details.
Please note that many of these database objects and options are not available under Personal Oracle Lite. For example, foreign key constraints are not supported. Please see the on-line documentation for Personal Oracle Lite for more details.
4.2.1 Create, Alter and Drop Tables, Views and Sequences
SQL*Plus accepts SQL statements that allow a user to create, alter and drop table, view and sequence definitions. These statements are all standard ANSI SQL statements with the exception of CREATE SEQUENCE.
ALTER TABLE – Change an existing table definition. The table indicated in the ALTER statement must already exist. This statement can be used to add a new column or remove an existing column in a table, modify the data type for an existing column, or add or remove a constraint.
ALTER TABLE has the following syntax for renaming a table:
ALTER TABLE <table name> RENAME TO <new table name> ;
ALTER TABLE has the following syntax for adding a new column to an existing table:
ALTER TABLE <table name> ADD ( <column name> <data type> <[not]null> ) ;
Another ALTER TABLE option can change a data type of column. The syntax is:
ALTER TABLE <table name> MODIFY ( <column name> <new data type> <[not]null> );
Another helpful ALTER statement can be used to drop a column in a table:
ALTER TABLE <table name> DROP ( <column name> ) ;
Note:In earlier versions of Oracle (before Oracle8), there is no single command to drop a column of a table. In order to drop a column from a table, you must create a temporary table containing all of the columns and records that will be retained. Then drop the original table and rename the temporary table to the original name. This is demonstrated below in the section on Creating, Altering and Dropping Tables.
Finally, ALTER TABLE can also be used to add a constraint to a table such as for a PRIMARY KEY, FOREIGN KEY or CHECK CONSTRAINT. The syntax to add a PRIMARY KEY is:
ALTER TABLE <table name> ADD CONSTRAINT <constraint-name> PRIMARY KEY (<column-name>);
The syntax to add a FOREIGN KEY constraint is:
ALTER TABLE <table-name> ADD CONSTRAINT <constraint-name> FOREIGN KEY (<column-name>) REFERENCES <parent-table-name> (column-name);
In Oracle, you must use an ALTER TABLE statement to define a composite PRIMARY KEY (a key made up of two or more columns). To do this, use the names of the columns that constitute the composite key separated by commas as in:
ALTER TABLE <table name> ADD CONSTRAINT <constraint-name> PRIMARY KEY (<column-name1>, <column-name2>);
CREATE TABLE – Create a new table in the database. The table name must not already exist. CREATE TABLE has the following syntax:
CREATE TABLE <table_name>
( <column1_name> <data type> <[not]null>,
<column2_name> <data type> <[not]null>, . . . ) ;
An alternate syntax can be used to create a table with a subset of rows or columns from an existing table.
CREATE TABLE <table_name> AS <sql select statement> ;
DROP TABLE – Drop a table from the database. The table name must already exist in the database. The syntax for the DROP TABLE statement is:
DROP TABLE <table name> ;
CREATE INDEX – Create a new Index that facilitates rapid lookup of data. An index is typically created on the primary and/or secondary keys of the table. The basic syntax for the CREATE INDEX statement is:
CREATE INDEX <index name>
ON <table name>
( <column name>, <column name> ) ;
DROP INDEX – Drop an index from the database. The syntax for the DROP INDEX statement is:
DROP INDEX <index name> ;
CREATE SEQUENCE – Create a new Oracle Sequence of values. Sequences can be used to automatically supply unique identifiers (keys) and other unique sequence of values when inserting data into a table. The new sequence name must not exist. CREATE SEQUENCE has the following syntax:
CREATE SEQUENCE <sequence name> INCREMENT BY <increment number> START WITH <start number> MAXVALUE <maximum value> CYCLE ;
The CYCLE clause indicates if the sequence count should cycle back to the START WITH value once the MAXVALUE is reached. Without the CYCLE clause, the sequence will return an error once MAXVALUE is reached.
DROP SEQUENCE – Drop an Oracle Sequence. The sequence must exist in the schema. DROP SEQUENCE has the following syntax:
DROP SEQUENCE <sequence name> ;
CREATE VIEW – Create a new view based on a query of existing tables in the database. The table names must already exist. The new view name must not exist. CREATE VIEW has the following syntax:
CREATE VIEW <view name> AS <sql select statement> ;
where sql select statement is in the form:
SELECT <column names> FROM <table name> WHERE <where clause>
Additional information on the SELECT statement and SQL queries can be found in the next section.
Note that an ORDER BY clause may not be added to the sql select statement then defining a view.
In general, views are read-only. That is, one may query a view but it is normally the case that views can not be operated on with INSERT, UPDATE or DELETE. This is especially true in cases where views joining two or more tables together or when a view contains an aggregate function.
DROP VIEW – Drop a view from the database. The view name must already exist in the database. The syntax for the DROP VIEW command is:
DROP VIEW <view name> ;
In the following page, more examples of each of the SQL DDL commands will be provided.
4.2 SQL Data Definition Language – Continued
Creating, Altering and Dropping Tables
A table is made up of one or more columns (also called attributes in relational theory). Each column is given a name and a data type that reflects the kind of data it will store. Oracle supports four basic data types called CHAR, NUMBER, DATE and RAW. There are also a few additional variations on the RAW and CHAR data types. The basic datatypes, uses and syntax, are as follows:
- VARCHAR2 – Character data type. Can contain letters, numbers and punctuation. The syntax for this data type is:VARCHAR2(size) where size is the maximum number of alphanumeric characters the column can hold. For example VARCHAR2(25) can hold up to 25 alphanumeric characters. In Oracle8, the maximum size of a VARCHAR2 column is 4,000 bytes.The VARCHAR data type is a synonym for VARCHAR2. It is recommended to use VARCHAR2 instead of VARCHAR.
- NUMBER – Numeric data type. Can contain integer or floating point numbers only. The syntax for this data type is:NUMBER(precision, scale) where precision is the total size of the number including decimal point and scale is the number of places to the right of the decimal. For example, NUMBER(6,2) can hold a number between -999.99 and 999.99.
- DATE – Date and Time data type. Can contain a date and time portion in the format:DD-MON-YY HH:MI:SS. No additional information is needed when specifying the DATE data type. If no time component is supplied when the date is inserted, the time of 00:00:00 is used as a default. The output format of the date and time can be modified to conform to local standards. In general, to manipulate the time portion of the DATE datatype, one must make use of the TO_DATE and TO_CHAR SQL functions.
- RAW – Free form binary data. Can contain binary data up to 255 characters. Data type LONG RAW can contain up to 2 gigabytes of binary data. RAW and LONG RAW data cannot be indexed and can not be displayed or queried in SQL*Plus. Only one RAW column is allowed per table.
- LOB – Large Object data types. These include BLOB (Binary Large OBject) and CLOB (Character Large OBject). More than one LOB column can appear in a table. These data types are the prefferred method for storing large objects such as text documents (CLOB), images, or video (BLOB).
A column may be specified with a NULL or NOT NULL constraint meaning the column may or may not be left blank, respectively. This check is made just before a new row is inserted into the table. By default, a column is created as NULL if no option is given.
In addition to specifying NOT NULL constraints, tables can also be created with constraints that enforce referential integrity (relationships among data between tables). Constraints can be added to one or more columns, or to the entire table.
Each table may have one PRIMARY KEY that consists of a single column containing no NULL values and no repeated values. A PRIMARY KEY with multiple columns can be designated using the ALTER TABLE command. We create primary keys with NOT NULL constraints to uphold entity integrity.
Up to 255 columns may be specified per table. Column names and table names must start with a letter and may not contain spaces or other punctuation except for the underscore character. Column names and table names are case insensitive. This means that you can specify the names of columns and tables in any way you like. For example, the following three SELECT statements are all identical:
SELECT lname, fname, address FROM employee;
SELECT LNAME, FNAME, ADDRESS FROM EMPLOYEE;
SELECT Lname, Fname, Address FROM Employee;
In the following example, a new table called “employee” is created with ten columns of a variety of types. The columns indicated by NOT NULL will be mandatory while the other columns, by default, will be optional.
SQL> CREATE TABLE employee 2 (employeeid VARCHAR2(9) NOT NULL, 3 fname VARCHAR2(8), 4 minit VARCHAR2(2), 5 lname VARCHAR2(8), 6 bdate DATE, 7 address VARCHAR2(27), 8 sex VARCHAR2(1), 9 salary NUMBER(7) NOT NULL, 10 superempid VARCHAR2(9), 11 dno NUMBER(1) NOT NULL) ; Table created. SQL>
The numbers 2 through 11 at the start of each line indicate the line number supplied by the SQL*Plus program as this statement was typed in. We will omit these numbers in the rest of the examples to facilitate copying and pasting this material directly into a live SQL*Plus session.
DESCRIBE is a SQL*Plus command that displays the columns of a table and their data types. The syntax for the DESCRIBE command is:
DESCRIBE <table name> ;
For example, we can use DESCRIBE on the employee table just created:
SQL> DESCRIBE employee Name Null? Type ----------------------------------------- -------- ------------------------- EMPLOYEEID NOT NULL VARCHAR2(9) FNAME VARCHAR2(8) MINIT VARCHAR2(2) LNAME VARCHAR2(8) BDATE DATE ADDRESS VARCHAR2(27) SEX VARCHAR2(1) SALARY NOT NULL NUMBER(7) SUPEREMPID VARCHAR2(9) DNO NOT NULL NUMBER(1)
A new table can also be created with a subset of the columns in an existing table. In the following example, a new table called emp_department_1 is created with only the fname, minit, lname and bdate columns from the employee table. This new table is also populated with data from the employee table where the employees are from department number 1.
SQL> CREATE TABLE emp_department_1 AS SELECT fname, minit, lname, bdate FROM employee WHERE dno = 1 ; Table created. SQL> DESCRIBE emp_department_1 Name Null? Type ------------------------------- -------- ------------ FNAME VARCHAR2(8) MINIT VARCHAR2(2) LNAME VARCHAR2(8) BDATE DATE SQL>
One can also create a new table with all of the columns from the original table, but with only a subset of the rows form the original table:
SQL> CREATE TABLE high_pay_emp AS SELECT * FROM employee WHERE salary > 50000 ; Table created.
The copying of data can be suppressed by giving a WHERE clause that always evaluates to FALSE for each record in the source table. The following example makes a duplicate of the employee table but does not copy any data into it.
SQL> CREATE TABLE copy_of_employee AS SELECT * FROM employee WHERE 3=5 ; Table created.
SQL> DESCRIBE copy_of_employee Name Null? Type ----------------------------------------- -------- ------------------------- EMPLOYEEID NOT NULL VARCHAR2(9) FNAME VARCHAR2(8) MINIT VARCHAR2(2) LNAME VARCHAR2(8) BDATE DATE ADDRESS VARCHAR2(27) SEX VARCHAR2(1) SALARY NOT NULL NUMBER(7) SUPEREMPID VARCHAR2(9) DNO NOT NULL NUMBER(1)
Constraints can be added to the table at the time it is created, or at a later time using the ALTER TABLE statement. Constraints can include:
- Primary key and Unique key constraints.
- Foreign key constraints (for referential integrity).
- Check constraints – to ensure only certain values are supplied for a column.
Here is an example of creating a primary key constraint on the employeeid column (Note we first drop the existing employee table and then re-create it):
SQL> DROP TABLE employee; Table dropped. SQL> CREATE TABLE employee (employeeid VARCHAR2(9) NOT NULL, fname VARCHAR2(8), minit VARCHAR2(2), lname VARCHAR2(8), bdate DATE, address VARCHAR2(27), sex VARCHAR2(1), salary NUMBER(7) NOT NULL, superempid VARCHAR2(9), dno NUMBER(1) NOT NULL, CONSTRAINT pk_employee PRIMARY KEY (employeeid) ); Table created.
Note the name given to the constraint is pk_employee .
Referential integrity constraints can also be added. Referential integrity refers to the behavior of child records when the parent record is modified or deleted. In the following example, the dno column in the employee table references the dnumber column in the department table. If a department is deleted, all employees that reference the department are also deleted. This is given by the ON DELETE CASCADE option. (be sure to DROP TABLE employee before you try the next example).
DROP TABLE department; CREATE TABLE department (dnumber NUMBER(1), dname VARCHAR2(15), mgrempid VARCHAR2(9), mgrstartdate DATE, CONSTRAINT pk_department PRIMARY KEY (dnumber) ); DROP TABLE employee; CREATE TABLE employee (employeeid VARCHAR2(9) NOT NULL, fname VARCHAR2(8), minit VARCHAR2(2), lname VARCHAR2(8), bdate DATE, address VARCHAR2(27), sex VARCHAR2(1), salary NUMBER(7) NOT NULL, superempid VARCHAR2(9), dno NUMBER(1) NOT NULL, CONSTRAINT pk_employee PRIMARY KEY (employeeid), CONSTRAINT fk_department FOREIGN KEY (dno) REFERENCES department (dnumber) ON DELETE CASCADE);
In order to specify a foreign key constraint, the column in the parent (or master) table (e.g., the dnumber column in the department table in the above example) must be either the primary key or a unique key for the table. Thus, the parent (or master) table must be created first before the child (or detail) table is created using the above constraints.
Additional CREATE TABLE constraint statements allow the specification of what should happen when a row is deleted or updated in a parent table. In the above example, deleting a department causes all employees in that department to also be deleted. Other options include ON DELETE SET DEFAULT and ON DELETE SET NULL. In addition, the behavior of child tables when a parent table is updated can also be specified using an ON UPDATE clause.
CHECK constraints can be added to check the values for a given column. This can be used to allow only a specific set of valid values for a column. In the following example, CHECK constraints are added to limit the valid values for the sex column and to check if the salary is greater than 10,000 (be sure to DROP TABLE employee before you try the next example).
CREATE TABLE employee
(employeeid VARCHAR2(9) NOT NULL,
fname VARCHAR2(8),
minit VARCHAR2(2),
lname VARCHAR2(8),
bdate DATE,
address VARCHAR2(27),
sex VARCHAR2(1) CONSTRAINT ck_sex CHECK (sex IN ('M', 'F')),
salary NUMBER(7) NOT NULL CONSTRAINT ck_salary CHECK (salary > 10000),
superempid VARCHAR2(9),
dno NUMBER(1) NOT NULL,
CONSTRAINT pk_employee PRIMARY KEY (employeeid),
CONSTRAINT fk_dno FOREIGN KEY (dno)
REFERENCES department (dnumber)
ON DELETE CASCADE);
The CHECK constraints are activated when inserting a new row or when updating existing data. In the following example, the value given for sex is ‘m’:
SQL> insert into employee values
('123456789', 'Joe', 'M', 'Smith', '01-JUN-45',
'123 Smith St.', 'm', 45000, '123456789', 1) ;
insert into employee values
* ERROR at line 1:
ORA-02290: check constraint (HOLOWCZAK.CK_SEX) violated
In the previous examples, constraints were given names with the following prefixes:
- Primary key constraints:pk_
- Foreign key constraints:fk_
- Check constraints:ck_
Naming constraints in this fashion is simply a convenience. Any name may be given to a constraint so long as it starts with a letter an contains no other punctuation other than the underscore character.
The ALTER TABLE command can be used to add a new column to an existing table or to change the data type of an existing column. The following examples add a new column manager to an existing table named emp_department_1 and then modify the data type of the fname sloupec.
SQL> DESCRIBE emp_department_1 Name Null? Type ------------------------------- -------- ----------- FNAME VARCHAR2(8) MINIT VARCHAR2(2) LNAME VARCHAR2(8) BDATE DATE SQL> ALTER TABLE emp_department_1 ADD (manager VARCHAR2(8)) ; Table altered. SQL> ALTER TABLE emp_department_1 MODIFY (fname VARCHAR2(15)); Table altered. SQL> DESCRIBE emp_department_1 Name Null? Type ------------------------------- -------- ---------- FNAME VARCHAR2(15) MINIT VARCHAR2(2) LNAME VARCHAR2(8) BDATE DATE MANAGER VARCHAR2(8)
The ALTER TABLE command can also be used to change the datatype of column provided there is no data in the table . To get around this if there is data in the table, create a temporary table using all of the data from the existing table, delete the existing records from the original table, alter the datatype, and then insert the records from the temporary table back into the original table. For example, assume the emp_department_1 table has some records in it and we want to change the datatype for the MANAGER column:
CREATE TABLE temp AS SELECT * FROM emp_department_1; DELETE FROM emp_department_1; ALTER TABLE emp_department_1 MODIFY (manager VARCHAR2(15)); INSERT INTO emp_department_1 SELECT * FROM temp; DROP TABLE temp;
This trick can also be used to drop a column from a table. Assume the Employee table has the following columns:employeeid, fname, minit, lname, bdate, address, sex, salary, superssn and dno, and we want to drop the salary column from the table (notice the salary column is not in the SELECT statement):
CREATE TABLE temp AS SELECT employeeid, fname, minit, lname, bdate, address, sex, superssn, dno FROM employee; DROP TABLE employee; CREATE TABLE employee AS SELECT * FROM temp;
The DROP TABLE command can be used to drop a table definition and all of its data from the database. In the following example, the table emp_department_1 created previously, is dropped from the database.
SQL> DROP TABLE emp_department_1 ; Table dropped.
To see which tables are defined in a schema, submit a query to the USER_TABLES view of the database system catalog:
SQL> SELECT table_name FROM USER_TABLES ; TABLE_NAME --------------- DEPARTMENT EMPLOYEE STUDENTS
To see which constraints are defined in a schema, submit a query to the USER_CONSTRAINTS view of the database system catalog:
SQL> SELECT constraint_name, constraint_type, table_name FROM user_constraints ; CONSTRAINT_NAME C TABLE_NAME ------------------------------ - --------------- SYS_C004797 C DEPARTMENT PK_DEPARTMENT P DEPARTMENT SYS_C004794 C EMPLOYEE SYS_C004795 C EMPLOYEE SYS_C004796 C EMPLOYEE PK_EMPLOYEE P EMPLOYEE FK_DEPARTMENT R EMPLOYEE
Note that the middle column “constraint_type” has values such as “C” for Check constraint (could be NOT NULL for example), “P” for Primary Key constraint and “R” for Referential Integrity (Foreign Key) constraint.
Exercise 2:Creating and Altering Tables
For this exercise, create an index on the STUDENTS table for the StudentName column. Be sure to give this index an appropriate name.
Create an index on the COURSES table for the semester and year columns (together).
Creating and Dropping Views
In the SQL language, a view is a representation of one or more tables. A view can be used to hide the complexity of relationships between tables or to provide security for sensitive data in tables. In the following example, a limited view of the employee table is created. When a view is defined, a SQL statement is associated with the view name. Whenever the view is accessed, the SQL statement will be executed.
In the following example, the view emp_dno_1 is created as a limited
number of columns (fname, lname, dno ) and limited set of data ( WHERE dno=1 ) from the employee tabulka.
CREATE VIEW vw_emp_dno_1
AS SELECT fname, lname, dno
FROM employee
WHERE dno = 1;
View created.
Once the view is created, it can be queried with a SELECT statement as if it were a table.
SELECT * FROM vw_emp_dno_1 ; FNAME LNAME DNO -------- -------- --------- JAMES BORG 1
Views can be dropped in a similar fashion to tables. The DROP VIEW command provides this facility. In the following example, the view just created is dropped.
DROP VIEW vw_emp_dno_1 ; View dropped.
Views can also be created to join several tables together. The following is an example of creating a view that joins two tables:
SQL> CREATE VIEW vw_dept_managers AS
SELECT dnumber, dname, mgrempid, lname, fname
FROM employee, department
WHERE employee.ssn = department.mgrssn ;
View created.
SQL> SELECT * FROM vw_dept_managers ;
DNUMBER DNAME MGREMPID LNAME FNAME
------- --------------- ---------- -------- --------
5 RESEARCH 333445555 WONG FRANKLIN
4 ADMINISTRATION 987654321 WALLACE JENNIFER
1 HEADQUARTERS 888665555 BORG JAMES
This view can then be used as part of other queries or as the basis for developing applications.
As a final example, a view can be created that contains an aggregate function. In the following example, a view is created that returns the average salary of all employees per department.
SQL> CREATE VIEW vw_dept_average_salary AS
SELECT dnumber, dname, AVG(salary) AS average_salary
FROM department, employee
WHERE employee.dno = department.dnumber
GROUP BY dnumber, dname ;
View created.
SQL> SELECT * FROM vw_dept_average_salary ;
DNUMBER DNAME AVERAGE_SALARY
---------- --------------- --------------
1 HEADQUARTERS 55000
4 ADMINISTRATION 31000
5 RESEARCH 33250
Note the use of the column alias AS average_salary and the mandatory GROUP BY clause. More details on column aliases and various features of SELECT statements in given in Section 4.3 on SQL DML.
In general, views are read-only as the above cases demonstrate.
To see which views are defined in a schema, submit a query to the USER_VIEWS view of the database system catalog:
SQL> SELECT view_name FROM user_views ; VIEW_NAME -------------------------- VW_DEPT_AVERAGE_SALARY VW_DEPT_MANAGERS VW_EMP_DNO_1
Exercise 3:Creating Views
For this exercise, create a view called VW_CIS_MAJORS basd upon the following SQL SELECT statement:
SELECT * FROM students WHERE major = 'CIS';
Query the view and show the output.
Create another view called VW_COURSES_TAKEN based upon the following SQL SELECT statement:
SELECT name, major, coursenumber, coursename,
semester, year, grade
FROM students, courses
WHERE students.studentid = courses.studentid;
Before querying this view, format the output column by submitting the following SQL*Plus COLUMN FORMAT commands:
COLUMN name FORMAT A8 COLUMN coursename FORMAT A15 COLUMN major FORMAT A10 COLUMN year FORMAT 9999
As discussed in Section 5.2, the format command changes the way data is displayed in SQL*Plus. It does not change how the data is stored in the tables.
Query the VW_COURSES_TAKEN view and show the output.
Creating, Altering and Dropping Sequences
The Oracle database provides a database object known as a Sequence. Sequences are used to automatically generate a series of unique numbers such as those used for Employee Id or Part Number columns. Sequences are not part of the ANSI SQL-92 standard. In the following example, an Oracle Sequence for Employee Id is created. The numbers to be generated will be between 1001 and 9999. As a rule of thumb, sequences can be named with the prefix seq to differentiate them from other database objects.
CREATE SEQUENCE seq_department_number
START WITH 1
MAXVALUE 9999
NOCYCLE ;
Sequence created.
In this example, the sequence will begin its numbering at 1 and count up (in increments of 1 which is the default) until it reaches 9999. Once the MAXVALUE is reached, accessing the sequence will return an error.
Sequences are accessed using a SELECT statement with a special table called DUAL . The DUAL table is a placeholder that exists in all schemas by default. In the following example, the next value in the seq_department_number sequence is retrieved:
SELECT seq_department_number.nextval FROM dual ;
NEXTVAL
---------
6
Sequences can also be used in INSERT statements to automatically provide the next value for a key. For example, to insert a new department row with the next department id in the sequence, the following statement would be issued:
INSERT INTO department VALUES
(seq_department_number.nextval, 'Finance',
'123456789', '01'-JAN-1990');
1 Row Created.
As with most database objects, Oracle Sequences can be dropped using a DROP SEQUENCE command. Dropping a sequence and then re-creating it has the effect of resetting the sequence to its START WITH number. In the following example, the department number sequence created previously is dropped.
DROP SEQUENCE seq_department_number ; Sequence dropped.
Sequences can also be altered to change the INCREMENT BY, MAXVALUE or START WITH values. The ALTER SEQUENCE statement achieves these changes.
To see which sequences are defined in a schema, submit a query to the USER_SEQUENCES view of the database system catalog:
SQL> SELECT sequence_name, min_value, max_value, last_number
FROM USER_SEQUENCES ;
SEQUENCE_NAME MIN_VALUE MAX_VALUE LAST_NUMBER
------------------------------ ---------- ---------- -----------
SEQ_DEPARTMENT_NUMBER 1 600 6
Exercise 4:Working with Sequences
For this exercise, start by creating an Oracle Sequence called seq_student_id . Have the sequence start numbering at 120 and go up to 999.
Then, write an SQL INSERT statement to insert a new record for the following person:
Name: Joe Major: CIS GPA: 3.85 TutorID: 103
Use the seq_student_id.nextval as the StudentID. Finally, use a SELECT statement to query the VW_CIS_MAJOR and see if the record was inserted properly.
4.2.2 Grant and Revoke Statements
The GRANT and REVOKE statements allow a user to control access to objects (Tables, Views, Sequences, Procedures, etc.) in their schema. The Grant command grants authorization for a subject (another user or group) to perform some action (SELECT, INSERT, UPDATE, DELETE, ALTER, INDEX) on an object (Table, View, stored procedure, sequence or synonym).
The actions are defined as follows:
- SELECT – allows a subject to select rows from the object.
- INSERT – allows a subject to insert rows into the object.
- UPDATE – allows a subject to update rows in the object.
- DELETE – allows a subject to delete rows from the object.
- ALTER – allows a subject to alter the object. For example, add a column or change a constraint.
- INDEX – allows a subject to create an index on the object.
- EXECUTE – allows a subject to execute a stored procedure or trigger.
In addition to objects such as tables, the SELECT and UPDATE actions may also be granted on individual columns in a table or view.
The general syntax for the GRANT statement is:
GRANT <action1>, <action2>, ... ON tablename TO subject;
For example, assume user ALICE wishes to allow another user BOB to view the rows in the employee table. ALICE would execute the following GRANT statement:
GRANT SELECT ON employee TO BOB ;
At this point, user BOB may now issue SQL SELECT statements on the table ALICE.employee . For example, user BOB may execute:
SELECT fname, minit, lname, employeeid FROM ALICE.employee ; FNAME MI LNAME EMPLOYEEID -------- -- -------- ---------- JOHN B SMITH 123456789 FRANKLIN T WONG 333445555 ALICIA J ZELAYA 999887777 JENNIFER S WALLACE 987654321 RAMESH K NARAYAN 666884444 JOYCE A ENGLISH 453453453 AHMAD V JABBAR 987987987 JAMES E BORG 888665555 etc.
The REVOKE statement reverses the authorization by removing privileges from a subject (user). The syntax for REVOKE is:
REVOKE <action> ON <object> FROM <subject>
For example, to revoke Bob’s privileges to read the employee table, Alice might execute this revoke statement:
REVOKE SELECT ON employee FROM BOB ;
One can also REVOKE only a portion of the privileges from a user. For example, suppose ALICE granted the following:
GRANT SELECT, INSERT, UPDATE, DELETE ON department TO BOB ;
However, later on she decides that BOB should only be able to select from the department table. The following REVOKE statement would address the situation:
REVOKE INSERT, UPDATE, DELETE ON department FROM BOB ;
This would leave BOB with only the select privilege on the department table.
A shortcut to revoking all of the privileges on an object can be given by using the keyword ALL in the REVOKE statement. For example, if ALICE wishes to revoke all privileges on department from BOB, she could submit:
REVOKE ALL ON department FROM BOB;
A special group of users called PUBLIC represents all of the users in a database instance. GRANT can be used with the PUBLIC group to allow all users to work with a table. For example the following GRANT statement allows any user to select records from the employee table:
GRANT SELECT ON employee TO PUBLIC;
The current authorizations in effect can be viewed by selecting from the USER_TAB_PRIVS view. In the following example, the columns are first formatted (more examples of this are given in a later section), and then the privileges for the user (table owner) ALICE are displayed.
COLUMN grantee FORMAT A10 COLUMN grantor FORMAT A10 COLUMN owner FORMAT A10 COLUMN table_name FORMAT A10 COLUMN privilege FORMAT A10 SELECT * FROM USER_TAB_PRIVS ; GRANTEE OWNER TABLE_NAME GRANTOR PRIVILEGE GRA ---------- ---------- ---------- ---------- ---------- --- BOB ALICE EMPLOYEE ALICE SELECT NO
A quick way to generate a list of GRANT statements for every table in your schema is to run a query on the catalog that forms the GRANT statements:
SELECT 'GRANT SELECT, INSERT, UPDATE, DELETE ON '
|| table_name || ' TO username;'
FROM cat
WHERE table_type = 'TABLE';
In the above example, username is the name of the user you would like to grant access to.
The result of this query is something like the following:
GRANT SELECT, INSERT, UPDATE, DELETE ON DEPARTMENT TO username; GRANT SELECT, INSERT, UPDATE, DELETE ON DEPENDENT TO username; GRANT SELECT, INSERT, UPDATE, DELETE ON DEPT_LOCATIONS TO username; GRANT SELECT, INSERT, UPDATE, DELETE ON EMPLOYEE TO username; GRANT SELECT, INSERT, UPDATE, DELETE ON PROJECT TO username; GRANT SELECT, INSERT, UPDATE, DELETE ON WORKS_ON TO username;
This output can then be copied and pasted back in to put the grant statements into effect.
To see which privileges you have granted to others, submit a query to the USER_TAB_PRIVS_MADE view of the database system catalog:
SQL> SELECT grantee, table_name, grantor, privilege FROM USER_TAB_PRIVS_MADE; GRANTEE TABLE_NAME GRANTOR PRIVILEGE ---------- --------------- -------------- ---------- SMITH DEPARTMENT HOLOWCZAK INSERT SMITH DEPARTMENT HOLOWCZAK SELECT SMITH DEPARTMENT HOLOWCZAK UPDATE SMITH EMPLOYEE HOLOWCZAK SELECT
To see which privileges have been grated to you, submit a query to the USER_TAB_PRIVS_RECD view of the database system catalog:
SQL> SELECT owner, table_name, grantor, privilege FROM USER_TAB_PRIVS_RECD; OWNER TABLE_NAME GRANTOR PRIVILEGE ------------ --------------- -------------- ---------- SMITH STUDENT SMITH SELECT SMITH STUDENT SMITH INSERT SMITH STUDENT SMITH UPDATE SMITH STUDENT SMITH DELETE
In the above example, user SMITH has granted SELECT, INSERT, UPDATE and DELETE to the user who issued the query on USER_TAB_PRIVS_RECD (HOLOWCZAK in this case).
One additional caveat:When one user inserts, deletes or updates data in a table, that user should issue an explicit COMMIT; so that these changes become visible to others who may have permissions to view the table.
Exercise 5:GRANT and REVOKE
GRANT SELECT privileges to another member of your group. Have them query your STUDENTS table.
Then REVOKE the SELECT privilege from the STUDENTS table. Have your group member try to query the table after you have revoked access and see what happens.
Query the USER_TAB_PRIVS_RECD and USER_TAB_PRIVS_MADE views to see which privileges have been granted to you and which ones you have granted to others.
4.2.3 Synonyms in Oracle
In many cases, a schema is created under a single username but other users must have access to the tables, sequences and stored procedures. One possibility is to code all queries and applications to specifically access these database objects by providing a schema name. For example;
SELECT * FROM alice.employee;
This query selects all of the columns and rows from the employee table in user alice’s schema.
One problem with this method is that if the tables move to another user’s schema, all of the references will need to change.
An alternative is to use Synonyms to provide a pointer to the schema and database objects. A Synonym is like a pointer in that is has a name that is recognized in the local schema that, when addressed, will resolve to the schema.object name in another user’s schema.
Synonyms are created with the CREATE SYNONYM command:
CREATE SYNONYM <synonym_name> FOR <schema>.<object> ;
One can create synonyms for tables, views, sequences and stored procedures.
For example, if Bob wishes to have access to Alice’s employee table, first, Alice would need to GRANT access to her table using the GRANT command, and then Bob would create a synonym using:
CREATE SYNONYM employee FOR alice.employee;
Now Bob can execute the following query:
SELECT * FROM employee ;
The above query will return all columns and rows from the employee table in Alice’s schema.
If the tables are moved to another schema such as Abe’s schema, then only the synonyms need to be dropped and recreated. All applications will run the same.
To generate a list of CREATE SYNONYM statements, use the following type of query:
SELECT 'CREATE SYNONYM ' || table_name ||
' FOR schema.' || table_name || ' ;'
FROM cat
WHERE table_type = 'TABLE' ;
Where schema is the username containing the tables. This results in the following output that can be pasted back into SQL*Plus by each user to create the set of synonyms:
CREATE SYNONYM DEPARTMENT FOR schema.DEPARTMENT ; CREATE SYNONYM DEPENDENT FOR schema.DEPENDENT ; CREATE SYNONYM DEPT_LOCATIONS FOR schema.DEPT_LOCATIONS ; CREATE SYNONYM EMPLOYEE FOR schema.EMPLOYEE ; CREATE SYNONYM PROJECT FOR schema.PROJECT ; CREATE SYNONYM STUDENTS FOR schema.STUDENTS ; CREATE SYNONYM WORKS_ON FOR schema.WORKS_ON ;
To see which synonyms have been created in your schema, query to the USER_SYNONYMS view of the database system catalog:
SQL> SELECT synonym_name, table_owner, table_name FROM USER_SYNONYMS ; SYNONYM_NAME TABLE_OWNER TABLE_NAME ------------ ------------ ------------ EMPLOYEE SMITH EMPLOYEE DEPARTMENT SMITH DEPARTMENT
In this section, the SQL commands for creating, altering and deleting tables, views and sequences, and granting and revoking access to database objects have been introduced. A typical database may have a dozen or more related tables with several columns each. To facilitate the creation and deletion of a large number of tables, the CREATE statements can be placed into a file and executed using the SQL*Plus START příkaz.
4.3 SQL Data Manipulation Language (DML)
In this section, we discuss SQL statements that can be used to manipulate data in tables and views.
4.3.1 Select, Insert, Update, Delete, Commit and Rollback Data
SQL*Plus allows the user to enter SQL statements to select, insert, update and delete rows in database tables. These are all standard SQL statements.
- COMMIT – Make all recent changes to the database permanent. Changes that have occurred since the last commit are made permanent. A commit can be done explicitly using the following syntax:
COMMIT ;
A commit is also done implicitly when the next SQL DDL statement is executed or the user exits SQL*Plus.
- DELETE – Delete one or more rows from a table. The syntax for this SQL statement is:
DELETE FROM <table name> WHERE <where clause>If the WHERE clause is omitted, all rows in the table will be deleted.
- INSERT – Insert a row of data into a table. The syntax for this SQL statement is:
INSERT INTO <table name> (column1, column2 . . .) VALUES (value1, value2, . . .)If a value for each column in the table is supplied, then the columns do not need to be listed in the first set of parenthesis. Values can be of 3 types:Character, Number or Date. Each one requires a slightly different format when inserting:
- Character – Must be enclosed within single quotes
For example:‘Bill Smith’ - Number – No quotes are required
For example:123, 44000.12 - Date – Enclosed in single quotes in the format ‘DD-MON-YYYY’
For example:’26-JUN-1996′
Note that different versions of Oracle accept only 2 digit years
for an INSERT statement. All newer versions (from Oracle8 on)
appear to default to using 4 digit years.
To insert TIME into a DATE column, use the TO_DATE function. For example,
the following function will insert the 26th of June 1996 at 5:00pm:
TO_DATE(’26-JUN-1996 17:00′, ‘DD-MON-YYYY HH24:MI’)
All values, regardless of data type, must be separated by commas.
Another option for the INSERT statement is to pull some data from another table. The syntax is:
INSERT INTO <table name> SELECT <columns> FROM <table> WHERE <where-clause>For example, assume table1 and table2 have the same number of columns and the corresponding columns have the same data types. To insert all data currently in
table1 into table2:INSERT INTO table2 SELECT * FROM table1; - Character – Must be enclosed within single quotes
- ROLLBACK – Undo all recent changes to the database. A rollback can only undo changes made since the last commit. The syntax for the ROLLBACK command is:
ROLLBACK ;
- SELECT – Retrieve existing rows from a table. If the table is empty, a message indicating that no rows were found will be displayed. A simplified syntax for the SELECT statement is:
SELECT <column1, column2, . . .> FROM <table1, table2, . . .> WHERE <where clause> GROUP BY <column1, column2, . . .> HAVING <having clause> ORDER BY <column1, column2, . . .>The WHERE clause, GROUP BY, HAVING and ORDER BY statements are optional. If a WHERE
clause if omitted, all rows in the table will be retrieved. If the ORDER BY statement is omitted, there is no specific order in which the rows will be displayed. GROUP BY and HAVING are used in conjunction with aggregate functions (functions that operate
on more than one record). If all columns in the table are to be retrieved, an asterisk (*) may be substituted for the entire list of columns after the SELECT key word.More than one table can be specified in the FROM clause. The WHERE clause typically contains logic expressions (such as
WHERE salary > 40000) that are
evaluated for each row in the table.A more complete syntax for the SELECT statement is:
SELECT <column1, column2, . . .> FROM <schema.table1, schema.table2, . . .> | <view> WHERE <where clause> CONNECT BY <connect by expression> GROUP BY <group by expression> HAVING <having clause> ORDER BY <column1, column2, ....> ASC | DESC
- UPDATE – Change the values of existing rows in a table in the database. One or more rows must exist in the table in order to successfully update data. The syntax for this SQL statement is:
UPDATE <table name> SET <column name> = <expression> WHERE <where clause>The expression can be either a single value or an arithmetic expression including another column in the table. More than one column can be updated at a time by adding additional column name =expression pairs separated by commas. If the WHERE clause is omitted, the update is applied to all rows in the table.
For example, to give all employees in the marketing department a 3% raise:
UPDATE employee SET salary = salary * 1.03 WHERE dno = (SELECT dno FROM department WHERE dname = 'MARKETING');
In the following example, a new row is inserted into the employee stůl. Since a value is supplied for each column, the columns do not need to be explicitly listed.
DESCRIBE employee ;
Name Null? Type
------------------------------- -------- ----
EMPLOYEEID NOT NULL VARCHAR2(9)
FNAME VARCHAR2(8)
MINIT VARCHAR2(2)
LNAME VARCHAR2(8)
BDATE DATE
ADDRESS VARCHAR2(27)
SEX VARCHAR2(1)
SALARY NOT NULL NUMBER(7)
SUPEREMPID VARCHAR2(9)
DNO NOT NULL NUMBER(1)
INSERT INTO employee
VALUES ('123456789', 'JOHN', 'B', 'SMITH', '09-JAN-1975',
'731 FONDREN, HOUSTON, TX', 'M', 30000, '333445555', 5) ;
1 row created.
To check the contents of the employee table, a SELECT statement is done on the table.
SELECT fname, minit, lname, employeeid, bdate,
address, sex, superempid, dno
FROM employee;
FNAME MI LNAME EMPLOYEEID BDATE ADDRESS S SALARY SUPEREMPID DNO
-------- -- -------- ---------- ----------- ------------------------- - ------ ---------- ---
JOHN B SMITH 123456789 09-JAN-1975 731 FONDREN, HOUSTON, TX M 30000 333445555 5
FRANKLIN T WONG 333445555 08-DEC-1965 638 VOSS,HOUSTON TX M 40000 888665555 5
ALICIA J ZELAYA 999887777 19-JUL-1978 3321 CASTLE, SPRING, TX F 25000 987654321 4
JENNIFER S WALLACE 987654321 20-JUN-1951 291 BERRY, BELLAIRE, TX F 43000 888665555 4
RAMESH K NARAYAN 666884444 15-SEP-1972 975 FIRE OAK, HUMBLE, TX M 38000 333445555 5
JOYCE A ENGLISH 453453453 31-JUL-1982 5631 RICE, HOUSTON, TX F 25000 333445555 5
AHMAD V JABBAR 987987987 29-MAR-1979 980 DALLAS, HOUSTON, TX M 25000 987654321 4
JAMES E BORG 888665555 10-NOV-1947 450 STONE, HOUSTON, TX M 55000 1
8 rows selected.
In the next example, a row in the employee table is updated.
UPDATE employee
SET salary = salary * 1.04
WHERE dno = 4;
3 rows updated.
SELECT fname, minit, lname, employeeid, bdate,
address, sex, superempid, dno
FROM employee ;
FNAME MI LNAME EMPLOYEEID BDATE ADDRESS S SALARY SUPEREMPID DNO
-------- -- -------- ---------- ----------- ------------------------- - ------ ---------- ---
JOHN B SMITH 123456789 09-JAN-1975 731 FONDREN, HOUSTON, TX M 30000 333445555 5
FRANKLIN T WONG 333445555 08-DEC-1965 638 VOSS,HOUSTON TX M 40000 888665555 5
ALICIA J ZELAYA 999887777 19-JUL-1978 3321 CASTLE, SPRING, TX F 26000 987654321 4
JENNIFER S WALLACE 987654321 20-JUN-1951 291 BERRY, BELLAIRE, TX F 44720 888665555 4
RAMESH K NARAYAN 666884444 15-SEP-1972 975 FIRE OAK, HUMBLE, TX M 38000 333445555 5
JOYCE A ENGLISH 453453453 31-JUL-1982 5631 RICE, HOUSTON, TX F 25000 333445555 5
AHMAD V JABBAR 987987987 29-MAR-1979 980 DALLAS, HOUSTON, TX M 26000 987654321 4
JAMES E BORG 888665555 10-NOV-1947 450 STONE, HOUSTON, TX M 55000 1
8 rows selected.
In the final example, a row is deleted from the employee tabulka.
SQL> DELETE FROM employee
WHERE dno = 5;
4 rows deleted.
SQL> COMMIT ;
Commit complete.
In the final example, if the ROLLBACK command was given instead of the COMMIT command, the rows would have been undeleted.
4.3.2 Displaying Oracle Table Metadata (Data about the data)
Once database objects have been created, it is often useful to query the data dictionary to see the various characteristics of the objects. In this section, we describe several ways to query the data dictionary to retrieve this information.
Note that many of these statements and commands will not work properly under Personal Oracle Lite.
The Oracle Data Dictionary maintains a collection of USER_ views that are accessible from each user’s schema. The following table summarizes these views:
| USER View | Contents | Typical Query |
|---|---|---|
| USER_TABLES | Table names and storage details about tables a user owns | SELECT table_name FROM USER_TABLES; |
| CAT or TAB | Brief list of tables and views for a user | SELECT * FROM CAT; or SELECT * FROM TAB; |
| COL | Column names and NOT NULL constraints. |
SELECT colno, cname, coltype,
width, scale, precision, nulls
FROM col
WHERE tname = 'EMPLOYEE'
ORDER BY col.colno; |
| USER_INDEXES | Indexes defined on tables the user owns | COLUMN table_owner FORMAT A12 SELECT index_name, table_owner, table_name FROM USER_INDEXES; |
| USER_VIEWS | View names and view definitions (queries) a user owns | SELECT view_name, text FROM USER_VIEWS; |
| USER_SEQUENCES | Sequence definitions and current values for sequences a user owns | SELECT * FROM USER_SEQUENCES; |
| USER_TRIGGERS | Trigger names and definitions for triggers a user owns | SELECT trigger_name, trigger_body FROM USER_TRIGGERS; |
| USER_ERRORS | Contains information about the last error that occurred in a user’s schema due to a trigger or procedure compilation error. | SELECT * FROM USER_ERRORS; |
| USER_CONSTRAINTS | Constraints on tables a user owns. Includes column constraints such as NOT NULL, CHECK and foreign key constraints. | SELECT constraint_name, table_name,
search_condition
FROM USER_CONSTRAINTS
WHERE table_name = 'EMPLOYEE';
|
| USER_OBJECTS | All database objects a user owns. Includes tables, views, sequences, indexes, procedures, triggers, etc. | COLUMN object_name FORMAT A35 SELECT object_name, object_type FROM USER_OBJECTS; |
| USER_SOURCE | Source code for stored procedures owned by the user. | To see which procedures exist:SELECT DISTINCT NAME from USER_SOURCE; To see the actual code: SELECT text FROM USER_SOURCE WHERE name = 'procedure_name' ORDER BY LINE;
Note:You may have to reduce the ARRAYSIZE variable to avoid |
| USER_TS_QUOTAS | Quotas on tablespaces accessible to a user. | SELECT * FROM USER_TS_QUOTAS; |
A comprehensive list of user catalog views can be found in the Oracle Server Reference guide.
Many of the view contain columns of type LONG. In order to display their content, set the SQL*Plus variable LONG to a large number such as 4096 as follows:
SQL> SET LONG 4096
You may have to reduce the ARRAYSIZE variable to avoid overflowing the bufer. e.g.,
SET ARRAYSIZE 2
To find out the names of tables you have created, use the system view called CAT in a SELECT statement:
SELECT * FROM cat;
.
The following is an example:
SELECT * FROM cat ; TABLE_NAME TABLE_TYPE ------------------------------ ---------- EMPLOYEE TABLE DEPARTMENT TABLE PROJECT TABLE DEPENDENTS TABLE
The TAB view was supported in older versions of Oracle and may not be available in future releases of Oracle. In that case, try using the CAT view instead of TAB .
The column definitions for a table can be displayed using the DESCRIBE command in SQL*Plus:
DESCRIBE employee ; Name Null? Type ------------------------------- -------- ---- EMPLOYEEID NOT NULL VARCHAR2(9) FNAME VARCHAR2(8) MINIT VARCHAR2(2) LNAME VARCHAR2(8) BDATE DATE ADDRESS VARCHAR2(27) SEX VARCHAR2(1) SALARY NOT NULL NUMBER(7) SUPEREMPID VARCHAR2(9) DNO NOT NULL NUMBER(1)
More detailed metadata can be retrieved from the tables COL and user_constraints .
To get information on columns of a table, use the following (substitute ‘EMPLOYEE’ with the name of the table in question):
SQL> COLUMN coltype FORMAT A10
SQL> COLUMN cname FORMAT A15
SQL> SELECT colno, cname, coltype, width, scale, precision, nulls
FROM col
WHERE tname = 'EMPLOYEE'
ORDER BY col.colno;
COLNO CNAME COLTYPE WIDTH SCALE PRECISION NULLS
----- --------------- ---------- ----- ----- --------- ---------
1 EMPLOYEEID VARCHAR2 9 NOT NULL
2 FNAME VARCHAR2 8 NULL
3 MINIT VARCHAR2 2 NULL
4 LNAME VARCHAR2 8 NULL
5 BDATE DATE 7 NULL
6 ADDRESS VARCHAR2 27 NULL
7 SEX VARCHAR2 1 NULL
8 SALARY NUMBER 22 0 7 NOT NULL
9 SUPEREMPID VARCHAR2 9 0 9 NULL
10 DNO NUMBER 22 0 1 NOT NULL
10 rows selected.
To see any constraints that are presently in effect on a table, use the following (substitute ‘EMPLOYEE’ with the name of the table in question):
SQL> COLUMN search_condition FORMAT A21
SQL> SELECT constraint_name, constraint_type,
search_condition, delete_rule
FROM user_constraints
WHERE table_name = 'EMPLOYEE';
CONSTRAINT_N CONSTRAINT_T SEARCH_CONDITION DELETE_RULE
------------ ------------ --------------------- -----------
FK_DNO R CASCADE
SYS_C00886 C EMPID IS NOT NULL
SYS_C00887 C EMPLOYEEID IS NOT NULL
SYS_C00888 C SALARY IS NOT NULL
SYS_C00889 C DNO IS NOT NULL
CK_SEX C sex IN ('M', 'F')
CK_SALARY C salary > 10000
PK_EMPLOYEE P
A list of Indexes defined on tables in the user’s schema can be displayed by querying the USER_INDEXES table:
SQL> COLUMN table_owner FORMAT A12 SQL> SELECT index_name, table_owner, table_name FROM USER_INDEXES ; INDEX_NAME TABLE_OWNER TABLE_NAME ------------------------------ ------------ ------------------------------ ACCOUNTS_PK HOLOWCZA ACCOUNTS AT_PK HOLOWCZA ACCOUNT_TYPES COURSES_PK HOLOWCZA COURSES CUSTOMER_PK HOLOWCZA CUSTOMERS PK_DEPARTMENT HOLOWCZA DEPARTMENT PK_EMPLOYEE HOLOWCZA EMPLOYEE UNQ_RNAME HOLOWCZA LOGREPORT
Finally, a list of Views the user owns can be displayed by querying the USER_VIEWS table:
SQL> SET LONG 4096
SQL> SELECT view_name, text FROM USER_VIEWS;
VIEW_NAME
-------------------
TEXT
--------------------------------------------------------------
VACCOUNTS
SELECT c.fname, c.lname, ac.account_number, at.account_typeid,
at.interest_rate, at.minimum_balance,
ac.date_opened, ac.current_balance
FROM customers c, accounts ac, account_types at
WHERE c.customerid = ac.customerid
AND ac.account_typeid = at.account_typeid
V_COURSES_TAKEN
SELECT name, major, coursenumber, coursename,
semester, year, grade
FROM students, courses
WHERE students.studentid = courses.studentid
4.3.3 Oracle Pseudo-Columns
The Oracle implementation of SQL adds several pseudo columns to each table. These columns do not exist in a physical table, yet they can be used in any SQL statement for a variety of purposes.
The following table lists the major pseudo columns:
- CURRVAL – Returns the current value of an Oracle sequence.
- NEXTVAL – Returns the current value of an Oracle sequence
and then increments the sequence. - LEVEL – The current level in a hierarchy
for a query using STARTWITH and CONNECT BY. - ROWID – An identifier (data file, block and row) for
the physical storage of a row in a table. - ROWNUM – The integer indicating the order in which
a row is returned from a query.
Exercise 6:Displaying Metadata
For this exercise, query the USER_ tables and display the following metadata:
- List the tables in the presently in the schema
- List the Indexes
- List the Views
- For the STUDENT and COURSES tables, display the columns in each table, their data types and whether or not they allow NULL values
- For the STUDENT and COURSES tables, display constraints on each table
4.3.4 Oracle SQL Functions
The Oracle implementation of SQL provides a number of functions that can be used in SELECT statements. Functions are typically grouped into the following:
- Single row functions – Operate on column values for each row returned by a query.
- Group functions – Operate on a collection (group) of rows.
The following is an overview and brief description of single row functions. x is some number, s is a string of characters and c is a single character.
- Math functions include:
ABS (x ) Absolute Value of x CEIL (x ) Smallest integer greater than or equal to x . COS (x ) Cosine of x FLOOR (x ) Largest integer less than or equal to x . LOG (x ) Log of x LN (x ) Natural Log of x ROUND (x , n ) Round x to n decimal places to the right of the decimal point. SIN (x ) Sine of x TAN (x ) Tangent of x TRUNC (x , n ) Truncate x to n decimal places to the right of the decimal point. - Character functions include:
CHR (x ) Character for ASCII value x . INITCAP (s ) String s with the first letter of each word capitalized. LOWER (s ) Converts string s to all lower case letters. LPAD (s , x ) Pads string s with x spaces to the left. LTRIM (s ) Removes leading spaces from s . REPLACE (s1 , s2 , s3 ) Replace occurrences of s2 with s3 in string s1 . RPAD (s , x ) Pads string s with x spaces to the right. RTRIM (s ) Removes trailing spaces from s . SUBSTR (s , x1 , x2 ) Return a portion of string s starting at position x1 and ending with position x2 . If x2 is omitted, it’s value defaults to the end of s . UPPER (s ) Converts string s to all upper case letters. s1 || s2 (two vertical bars or “pipe” symbols) Concatenates s1 with s2 - Character functions that return numbers include:
ASCII (c ) Returns the ASCII value of c INSTR (s1 , s2 , x ) Returns the position of s2 in s1 where the search starts at position x . LENGTH (s ) Length of s - Conversion functions include:
TO_CHAR (date , format ) Converts a date column to a string of characters. format is a set of Date formatting codes where:
YYYYis a 4 digit year.
MMis a month number.
MONTHis the full name of the month.
MONis the abbreviated month.
DDDis the day of the year.
DDis the day of the month.
Dis the day of the week.
DAYis the name of the day.
HHis the hour of the day (12 hour clock)
HH24is the hour of the day (24 hour clock)
AMis the morning or afternoon indicator (AM or PM).
MIis the minutes.
SSis the seconds.TO_CHAR (number , format ) Converts a numeric column to a string of characters. format is a set of number formatting codes where:
9indicates a digit position. Blank if position value is 0.
0indicates a digit position. Shows a 0 if the position value is 0.
$displays a leading currency indicator.TO_DATE (s , format ) Converts a character column (string s to a date. format is a set of Date formatting codes as above. TO_NUMBER (s , format ) Converts a character column (string s to a Number. format is a set of Number formatting codes as above. - Date functions include:
SYSDATE Returns the current date (and time if the TO_CHAR function is used) from the system clock. For example:
SELECT TO_CHAR(SYSDATE, ‘DD-MON-YYYY HH:MM:SS’) FROM DUAL; - Some additional function are:
DECODE (s , search1 , result1 , search2 , result2 ) Compares s with search1 , search2 , etc. and returns the corresponding result when there is a match. NVL (s , expression ) If s is NULL, return expression . If s is not null, then return s . USER Returns the username of the current user.
For example:SELECT USER FROM DUAL;
The following is an overview and brief description of multiple row (group) functions. col is the name of a table column (or expression) of type NUMBER.
| AVG (col ) | Returns the average of a group of rows for col |
| MAX (col ) | Returns the maximum of a group of rows for col |
| MIN (col ) | Returns the minimum of a group of rows for col |
| STDEV (col ) | Returns the standard deviation of a group of rows for col |
| SUM (col ) | Returns the sum (total) of a group of rows for col |
| VARIANCE (col ) | Returns the variance of a group of rows for col |
In addition the COUNT group function counts instances of values. These values can be any type (CHAR, DATE or NUMBER):
| COUNT (columns ) | Returns the number of instances of a group of rows for (columns ) |
To use an aggregate function and a regular non-aggregated column in the same query, a GROUP BY clause must be added to the SELECT statement.
Examples of functions are given in the following section.
Exercise 7:Functions
For this exercise, use the various functions to display the following:
- Display the average, minimum, and maximum grade point average for all of the students
- For each student, write a sentence like the following:
Congratulations Bill, your grade point average is 3.45
You’ll need to use the TO_CHAR function to convert the
GPA column (which is a NUMBER data type) to a set of characters. - For each student, count the number of courses he or she has taken.
- Modify the above query to only count CIS courses.
Hint:You’ll need to use the SUBSTR function on
the COURSENUMBER column to extract the first three
letters. Then compare this to ‘CIS’.
4.3.5 Examples of SQL DML Statements
In this section, several examples of SQL DML statements are given including SQL SELECT queries, INSERT, UPDATE and DELETE statements. Variations on WHERE clause, FROM clause and using SQL functions are all demonstrated.
You may wish to first create the example tables in your Oracle database schema so that the queries you try match up to the results shown here. Click here for the SQL DDL used to create the example tables .
Basic Select Statements
The most basic SQL command most folks learn about is the SQL SELECT Statement used to retrieve data from one or more tables. Assume we have a table named STUDENTS as shown below:
Example Table STUDENTS:
CREATE TABLE students (
studentid NUMBER(5,0),
name VARCHAR2(25),
major VARCHAR2(15),
gpa NUMBER(6,3),
tutorid NUMBER(5,0)
);
INSERT INTO students VALUES (101, 'Bill', 'CIS', 3.45, 102);
INSERT INTO students VALUES (102, 'Mary', 'CIS', 3.10, NULL);
INSERT INTO students VALUES (103, 'Sue', 'Marketing', 2.95, 102);
INSERT INTO students VALUES (104, 'Tom', 'Finance', 3.5, 106);
INSERT INTO students VALUES (105, 'Alex', 'CIS', 2.75, 106);
INSERT INTO students VALUES (106, 'Sam', 'Marketing', 3.25, 103);
INSERT INTO students VALUES (107, 'Jane', 'Finance', 2.90, 102);
Example table COURSES:CREATE TABLE courses( studentid NUMBER(5,0) NOT NULL, coursenumber VARCHAR2(15) NOT NULL, coursename VARCHAR2(25), semester VARCHAR2(10), year NUMBER(4,0), grade VARCHAR2(2) ); INSERT INTO courses VALUES (101, 'CIS3400', 'DBMS I', 'FALL', 1997, 'B+'); INSERT INTO courses VALUES (101, 'CIS3100', 'OOP I', 'SPRING', 1999, 'A-'); INSERT INTO courses VALUES (101, 'MKT3000', 'Marketing', 'FALL', 1997, 'A'); INSERT INTO courses VALUES (102, 'CIS3400', 'DBMS I', 'SPRING', 1997, 'A-'); INSERT INTO courses VALUES (102, 'CIS3500', 'Network I', 'SUMMER', 1997, 'B'); INSERT INTO courses VALUES (102, 'CIS4500', 'Network II', 'FALL', 1997, 'B+'); INSERT INTO courses VALUES (103, 'MKT3100', 'Advertizing', 'SPRING', 1998, 'A'); INSERT INTO courses VALUES (103, 'MKT3000', 'Marketing', 'FALL', 1997, 'A'); INSERT INTO courses VALUES (103, 'MKT4100', 'Marketing II', 'SUMMER', 1998, 'A-');
- Example query:Show all of the columns and all student records in the STUDENTS table:
SELECT * FROM students;
StudentID Name Major GPA TutorId 101 Bill CIS 3.45 102 102 Mary CIS 3.1 103 Sue Marketing 2.95 102 104 Tom Finance 3.5 106 105 Alex CIS 2.75 106 106 Sam Marketing 3.25 103 107 Jane Finance 2.9 102 - Show the Average GPA of all students:
SELECT AVG(gpa) FROM students; AVG(GPA) ---------- 3.12857143
- Average GPA of Finance and CIS students:
SELECT AVG(gpa) FROM students WHERE major = 'CIS' OR major = 'Finance'; AVG(GPA) ---------- 3.14 - Give the name of the student with the highest GPA:
This is an example of a subquery . The SELECT MAX(gpa) FORM students part runs first and returns a single number that is then matched up to the WHERE clause.SELECT name, gpa FROM students WHERE gpa = ( SELECT MAX(gpa) FROM students ); NAME GPA -------- ---------- Tom 3.5
Another option is to enclose some text in quotes and
concatenate that text with the output of the SQL statement:SELECT 'The student with the highest GPA is ' || name FROM students WHERE gpa = ( SELECT MAX(gpa) FROM students ); NAME ------------------------------------------ The student with the highest grade is Tom
- Show the students with the highest GPA in each major. Format the GPA with trailing 0 if necessary:
SELECT name, major, TO_CHAR(gpa, '9.00') AS GPA FROM students s1 WHERE gpa = ( SELECT max(gpa) FROM students s2 WHERE s1.major = s2.major ); NAME MAJOR GPA ------------------ --------------- ----- Bill CIS 3.45 Tom Finance 3.50 Sam Marketing 3.25Note the two aliases given to the students table:s1 and s2 . These allow us to refer to different views of the same table.
You may wish to sort the output based on the GPA. In this case, the output is ordered by GPA in decending order (highest GPA will come first, etc.):
SELECT name, major, gpa
FROM students s1
WHERE gpa =
(
SELECT max(gpa)
FROM students s2
WHERE s1.major = s2.major
)
ORDER BY gpa DESC;
NAME MAJOR GPA
-------- ---------- ----------
Tom Finance 3.5
Bill CIS 3.45
Sam Marketing 3.25
Selecting from 2 or More Tables
- In the FROM portion, list all tables separated by commas. Called a Join .
- The WHERE part becomes the Join Condition
Example table EMPLOYEE:
FNAME MI LNAME EMPLOYEEID BDATE ADDRESS S SALARY SUPEREMPID DNO
-------- -- ------- ---------- --------- ------------------------- - ------ ---------- ---
JOHN B SMITH 123456789 09-JAN-75 731 FONDREN, HOUSTON, TX M 30000 333445555 5
FRANKLIN T WONG 333445555 08-DEC-65 638 VOSS,HOUSTON TX M 40000 888665555 5
ALICIA J ZELAYA 999887777 19-JUL-78 3321 CASTLE, SPRING, TX F 25000 987654321 4
JENNIFER S WALLACE 987654321 20-JUN-51 291 BERRY, BELLAIRE, TX F 43000 888665555 4
RAMESH K NARAYAN 666884444 15-SEP-72 975 FIRE OAK, HUMBLE, TX M 38000 333445555 5
JOYCE A ENGLISH 453453453 31-JUL-82 5631 RICE, HOUSTON, TX F 25000 333445555 5
AHMAD V JABBAR 987987987 29-MAR-79 980 DALLAS, HOUSTON, TX M 25000 987654321 4
JAMES E BORG 888665555 10-NOV-47 450 STONE, HOUSTON, TX M 55000 1
Example table DEPARTMENT:
DNAME DNUMBER MGREMPID MGRSTARTD
--------------- --------- --------- ---------
RESEARCH 5 333445555 22-MAY-98
ADMINISTRATION 4 987654321 01-JAN-05
HEADQUARTERS 1 888665555 19-JUN-91
Example Table DEPT_LOCATIONS:
DNUMBER DLOCATION
------- ---------------
1 HOUSTON
4 STAFFORD
5 BELLAIRE
5 SUGARLAND
5 HOUSTON
Example table DEPENDENT:
EMPLOYEEID DEPENDENT_NAME SEX BDATE RELATIONSHIP
---------- --------------- --- --------- ------------
333445555 ALICE F 05-APR-96 DAUGHTER
333445555 THEODORE M 25-OCT-93 SON
333445555 JOY F 03-MAY-68 SPOUSE
123456789 MICHAEL M 01-JAN-98 SON
123456789 ALICE F 31-DEC-98 DAUGHTER
123456789 ELIZABETH F 05-MAY-77 SPOUSE
987654321 ABNER M 26-FEB-52 SPOUSE
- List all of the employees working in Houston:
SELECT employee.fname, employee.lname FROM employee, dept_locations WHERE employee.dno = dept_locations.dnumber AND dept_locations.dlocation = 'HOUSTON' ; FNAME LNAME -------- -------- JOHN SMITH FRANKLIN WONG RAMESH NARAYAN JOYCE ENGLISH JAMES BORG
- List each employee name and the location they work in. List them in order of location and name:
SELECT dept_locations.dlocation, department.dname, employee.fname, employee.lname FROM employee, department, dept_locations WHERE employee.dno = department.dnumber AND department.dnumber = dept_locations.dnumber AND employee.dno = dept_locations.dnumber ORDER BY dept_locations.dlocation, employee.lname; Results: DLOCATION DNAME FNAME LNAME --------------- --------------- -------- -------- BELLAIRE RESEARCH JOYCE ENGLISH BELLAIRE RESEARCH RAMESH NARAYAN BELLAIRE RESEARCH JOHN SMITH BELLAIRE RESEARCH FRANKLIN WONG HOUSTON HEADQUARTERS JAMES BORG HOUSTON RESEARCH JOYCE ENGLISH HOUSTON RESEARCH RAMESH NARAYAN HOUSTON RESEARCH JOHN SMITH HOUSTON RESEARCH FRANKLIN WONG STAFFORD ADMINISTRATION AHMAD JABBAR STAFFORD ADMINISTRATION JENNIFER WALLACE STAFFORD ADMINISTRATION ALICIA ZELAYA SUGARLAND RESEARCH JOYCE ENGLISH SUGARLAND RESEARCH RAMESH NARAYAN SUGARLAND RESEARCH JOHN SMITH SUGARLAND RESEARCH FRANKLIN WONG 16 rows selected. - What is the highest paid salary in Houston ?
SELECT MAX(employee.salary) FROM employee, dept_locations WHERE employee.dno = dept_locations.dnumber AND dept_locations.dlocation = 'HOUSTON'; MAX(EMPLOYEE.SALARY) -------------------- 55000 - To obtain the Cartesian Product of two tables, use a SELECT statement with no WHERE clause:
SELECT * FROM department, dept_locations ; DNAME DNUMBER MGRSSN MGRSTARTD DNUMBER DLOCATION --------------- ------- --------- --------- ------- ---------- RESEARCH 5 333445555 22-MAY-78 1 HOUSTON ADMINISTRATION 4 987654321 01-JAN-85 1 HOUSTON HEADQUARTERS 1 888665555 19-JUN-71 1 HOUSTON RESEARCH 5 333445555 22-MAY-78 4 STAFFORD ADMINISTRATION 4 987654321 01-JAN-85 4 STAFFORD HEADQUARTERS 1 888665555 19-JUN-71 4 STAFFORD RESEARCH 5 333445555 22-MAY-78 5 BELLAIRE ADMINISTRATION 4 987654321 01-JAN-85 5 BELLAIRE HEADQUARTERS 1 888665555 19-JUN-71 5 BELLAIRE RESEARCH 5 333445555 22-MAY-78 5 SUGARLAND ADMINISTRATION 4 987654321 01-JAN-85 5 SUGARLAND HEADQUARTERS 1 888665555 19-JUN-71 5 SUGARLAND RESEARCH 5 333445555 22-MAY-78 5 HOUSTON ADMINISTRATION 4 987654321 01-JAN-85 5 HOUSTON HEADQUARTERS 1 888665555 19-JUN-71 5 HOUSTON 15 rows selected. - In which states do our employees work ?
SELECT DISTINCT dlocation FROM dept_locations; DLOCATION --------------- BELLAIRE HOUSTON STAFFORD SUGARLAND
- List the Department name and the total salaries for each department:
SELECT department.dname, SUM( employee.salary ) FROM employee, department WHERE employee.dno = department.dnumber GROUP BY department.dname Results: DNAME SUM(EMPLOYEE.SALARY) --------------- -------------------- ADMINISTRATION 93000 HEADQUARTERS 55000 RESEARCH 133000
- We can also use a Column Alias to change the title of the columns
SELECT department.dname, SUM( employee.salary ) AS TotalSalaries FROM employee, department WHERE employee.dno = department.dnumber GROUP BY department.dname Results: DNAME TOTALSALARIES --------------- ------------- ADMINISTRATION 93000 HEADQUARTERS 55000 RESEARCH 133000
- Here is a combination of a function and
a column alias:SELECT fname, lname, salary AS CurrentSalary, (salary * 1.03) AS ProposedRaise FROM employee; FNAME LNAME CURRENTSALARY PROPOSEDRAISE -------- -------- ------------- ------------- JOHN SMITH 30000 30900 FRANKLIN WONG 40000 41200 ALICIA ZELAYA 25000 25750 JENNIFER WALLACE 43000 44290 RAMESH NARAYAN 38000 39140 JOYCE ENGLISH 25000 25750 AHMAD JABBAR 25000 25750 JAMES BORG 55000 56650 8 rows selected.
4.3.5 Examples of SQL DML Statements – Continued
Click here for the SQL DDL used to create the example tables .
Recursive Queries and Table Aliases
- Recall some of the E-R diagrams and relations we dealt with had a recursive relationship.
- For example:A student can tutor one or more other students. A student has only one tutor.
STUDENTS (studentid, name, major, grade, student_tutorid) - Provide a listing of each student and the name
of their tutor:SELECT s1.name AS Student, tutors.name AS Tutor FROM students s1, students tutors WHERE s1.tutorid = tutors.studentid; STUDENT TUTOR ------------------------- ----------- Bill Mary Sue Mary Jane Mary Sam Sue Tom Sam Alex Sam
- The above is called a “recursive” query because it access the same table two times.
- We give the table two aliases called s1 and tutors so that we can compare different aspects of the same table.
- However, as is, the table is missing something:We don’t see who is tutoring Mary. Use a left outer join to see the rest of the information. In MS Access, we use the LEFT JOIN příkaz. In Oracle, we place a
(+)after the join condition to indicate an outer join:In MS Access:
SELECT s1.name AS Student, tutors.name AS Tutor FROM students s1 LEFT JOIN students tutors ON s1.tutorid = tutors.studentid;
V Oracle:
SELECT s1.name AS Student, tutors.name AS Tutor FROM students s1, students tutors WHERE s1.tutorid = tutors.studentid (+) ; STUDENT TUTOR ------------------------- ------------- Bill Mary Sue Mary Jane Mary Sam Sue Tom Sam Alex Sam Mary
- Suppose instead of printing a blank for Mary’s tutor, we would like to write something meaningful in the output. Use the NVL function:
SELECT s1.name AS Student, NVL(tutors.name, 'No Tutor') AS Tutor FROM students s1, students tutors WHERE s1.tutorid = tutors.studentid (+) ; STUDENT TUTOR ------------------------- ------------------------- Bill Mary Sue Mary Jane Mary Sam Sue Tom Sam Alex Sam Mary No Tutor
- Here is one more twist:Suppose we were interested in those students who do not tutor anyone? Use a right outer join (RIGHT JOIN in MS Access).
- How many students does each tutor work with ?
SELECT s1.name AS TutorName, COUNT(tutors.tutorid) AS NumberTutored FROM students s1, students tutors WHERE s1.studentid = tutors.tutorid GROUP BY s1.name; TUTORNAME NUMBERTUTORED ------------------------- ------------- Mary 3 Sam 2 Sue 1
Tree Queries
Another form of recursive query is the tree query. A tree query decomposes the table such that each row is a node the tree and nodes are related in levels. Consider the Students table defined above.
- Bill tutors Alex, Mary and Sue.
- Mary tutors Liz and Ed
- Sue tutors Petra
Using the SQL SELECT statements CONNECT BY and START WITH clauses, we can form a set
of relationships between the rows of the table that form a tree structure.
- START WITH – indicates which row the tree should start with.
- CONNECT BY – indicates how successive related rows are to be identified and included in the result.
- LEVEL – a pseudo-column that indicates which level of the tree the current row is assigned to.
The following example prints a tree structure modeled after the tutoring relationships
in the Students table. We will start with Mary’s student id (102) since no one tutors her.
SELECT LPAD(' ',3*(LEVEL-1)) || students.name
As TutorTree
FROM students
START WITH studentid = '102'
CONNECT BY PRIOR studentid = tutorid;
TUTORTREE
-----------------------------------
Mary
Bill
Sue
Sam
Tom
Alex
Jane
7 rows selected.
From the tree we can see that Mary tutors Bill, Sue and Jane. In turn, Sue tutors Sam. Finally, Sam tutors both Tom and Alex.
Tree Query Exercise
For this exercise, go back and look at the EMPLOYEE table we used previously. Note that the superempid represents the id of the person who supervises the employee. For example, James Borg with employeeid 888665555 supervises Jennifer Wallace and Franklin Wong (look for 888665555 in the supervisorid column).
Write a tree query, starting with 888665555 that will draw the “Supervisors tree” like so:
SUPERVISORTREE
---------------
BORG
WONG
SMITH
ENGLISH
NARAYAN
WALLACE
JABBAR
ZELAYA
4.3.5 Examples of SQL DML Statements – Continued
WHERE Clause Expressions
- There are a number of expressions one can use in a WHERE clause.
- Subqueries using =(equals) :
These are used when we want to compare values from the outer query to the result of a sub query.SELECT name, grade FROM students WHERE grade = ( SELECT MAX(grade) FROM students );
This assumes the subquery returns only one tuple as a result. This is typically used when aggregate functions are in the subquery. For example, we know ahead of time that selecting MAX(grade will only ever return one number. So then we can compare this one number to the WHERE grade = doložka.
- Subqueries using the IN operator . The IN operator is used whenever the value of a column should be found in a set of values. The set of values can be explicitly listed (as in the first example below) or they can be created on the fly using a subquery.
SELECT employee.fname, department.dname FROM employee, department WHERE employee.dno = department.dnumber AND department.dname IN ('HEADQUARTERS', 'RESEARCH'); FNAME DNAME -------- --------------- JAMES HEADQUARTERS JOHN RESEARCH JOYCE RESEARCH RAMESH RESEARCH FRANKLIN RESEARCH SELECT employee.fname FROM employee WHERE employee.dno IN (SELECT dept_locations.dnumber FROM dept_locations WHERE dept_locations.dlocation = 'STAFFORD'); FNAME ------- ALICIA JENNIFER AHMADIn the above case, the subquery returns a set of tuples. The IN clause returns true when a tuple matches a member of the set.
- Subqueries using EXISTS . EXISTS will return TRUE if there is at least one row resulting from the subquery.
SELECT fname, lname, salary FROM employee WHERE EXISTS (SELECT fname FROM EMPLOYEE e2 WHERE e2.salary > employee.salary) AND EXISTS (SELECT fname FROM EMPLOYEE e3 WHERE e3.salary < employee.salary); FNAME LNAME SALARY -------- -------- --------- JOHN SMITH 30000 FRANKLIN WONG 40000 JENNIFER WALLACE 43000 RAMESH NARAYAN 38000The above query shows all employees names and salaries where there is at least one person who makes more money (the first exists) and at least one person who makes less money (second exists).
- Subqueries with NOT EXISTS . NOT EXISTS will return TRUE if there are no rows returned by the subquery.
SELECT fname, lname, salary FROM employee WHERE NOT EXISTS (SELECT fname FROM EMPLOYEE e2 WHERE e2.salary > employee.salary); FNAME LNAME SALARY -------- -------- --------- JAMES BORG 55000The above query shows all employees for whom there does not exist an employee who is paid less. In other words, the highest paid employee.
- The HAVING clause is similar to the WHERE clause. The difference is that WHERE is used to filter individual rows while HAVING is used to filter groups according to the GROUP BY clause.
Show the departments with average salary greater than 33000.
SELECT department.dname, AVG(salary) FROM employee, department WHERE employee.dno = department.dnumber GROUP BY department.dname HAVING AVG(salary) > 33000 ; DNAME AVG(SALARY) --------------- ----------- HEADQUARTERS 55000 RESEARCH 33250
Show departments with 3 or more employees:
SELECT department.dname, COUNT(employee.dno) FROM department, employee WHERE department.dnumber = employee.dno GROUP BY department.dname HAVING COUNT(employee.dno) >= 3; DNAME COUNT(EMPLOYEE.DNO) --------------- ------------------- ADMINISTRATION 3 RESEARCH 4
- LIKE operator :
Use the LIKE operator to perform a partial string match. Generally, the % character is used as the wild card although in some DBMS, the * character is used.Show all employees whose name starts with ‘S’
SELECT fname, lname, salary FROM employee WHERE lname LIKE 'S%'; Result: FNAME LNAME SALARY -------- -------- ---------- JOHN SMITH 30000
Show all employees whose name contains the letters ‘AR’
SELECT fname, lname, salary FROM employee WHERE lname LIKE '%AR%'; Result: FNAME LNAME SALARY -------- -------- ---------- RAMESH NARAYAN 38000 AHMAD JABBAR 25000
Note that characters within quotes are case sensitive.
Show all employees whose name contains the letter ‘E’ and the letter ‘L’ in that order:
SELECT fname, lname, salary FROM employee WHERE lname LIKE '%E%L%'; Result: FNAME LNAME SALARY -------- -------- ---------- JOYCE ENGLISH 25000
Show all employees whose name contains the letter ‘E’ and the letter ‘L’ in any order:
SELECT fname, lname, salary FROM employee WHERE lname LIKE '%E%L%' OR lname LIKE '%L%E%'; Result: FNAME LNAME SALARY -------- -------- ---------- JENNIFER WALLACE 43000 JOYCE ENGLISH 25000
4.3.5 Examples of SQL DML Statements – Continued
Click here for the SQL DDL used to create the example tables .
Examples of SQL Functions
- The TO_CHAR function can be used to extract specific parts of a Date or to format a Number.
For example, to extract the Year and the month from the date of birth of each of the employees, use TO_CHAR with a “mask” of ‘YYYY-MM’SELECT lname, TO_CHAR(bdate, 'YYYY-MM') AS Birth_Year_Month FROM employee; LNAME BIRTH_YEAR_MONTH ------- ----------- SMITH 1975-01 WONG 1965-12 ZELAYA 1978-07 WALLACE 1951-06 NARAYAN 1972-09 ENGLISH 1982-07 JABBAR 1979-03 BORG 1947-11
- Show the employees who have a dependent born in the same month:
SELECT employee.fname, employee.lname, dependent_name, relationship, TO_CHAR(dependent.bdate, 'MM') AS Birth_Month FROM employee, dependent WHERE employee.employeeid = dependent.employeeid AND TO_CHAR(dependent.bdate, 'MM') = TO_CHAR(employee.bdate, 'MM'); FNAME LNAME DEPENDENT_NAME RELATIONSHIP BIRTH_MONTH JOHN SMITH MICHAEL SON 01 - Text, dates and numbers can be combined using the various conversion functions. In the following example, the TO_CHAR function is used to convert the date BDATE into a character string.
SELECT 'The oldest employee was born on ' || TO_CHAR( MIN(bdate), 'DD/MM/YYYY') AS Sentence FROM employee; SENTENCE ---------------------------------------- The oldest employee was born on 10/11/1947 - Date math results in a numerical answer that must be converted to characters to concatenate with other character strings as in this next example:
SELECT 'The oldest employee was born on ' ||
TO_CHAR( MIN(bdate), 'DD/MM/YYYY') || ' and is now' ||
TO_CHAR( (SYSDATE - MIN(bdate)) / 365, '99') ||
' years old.'
AS Sentence
FROM employee;
SENTENCE
-----------------------------------------------------------------
The oldest employee was born on 10/11/1947 and is now 68 years old.
(Note:This assumes we run the query in year 2013)
- The TO_DATE and TO_CHAR functions are extremely useful when working with dates and times.
Oracle stores bother the date and time in one column using the DATE datový typ. For example,
Suppose you have a table MYDATES with two varchar columns:IMPORTANT_DATE varchar2 -- example: 12/4/2015 IMPORTANT_TIME varchar2 -- example: 9:35:00 AM
To get these formatted from a CHAR string to a DATE data type you might do something like:
SELECT TO_DATE(IMPORTANT_DATE || ' ' || IMPORTANT_TIME, 'MM/DD/YYYY HH24:MI:SS AM') FROM mydates;What this does is first is concatenates the value in the IMPORTANT_DATE column with a blank space and then with the IMPORTANT_TIME column using the concatenation || operátor. The result will be a varchar string like:'12/4/2015 9:35:00 AM'
Then the TO_DATE function take the format 'MM/DD/YYYY HH24:MI:SS AM' and applies it to the string. This lines up MM with the month 12 , then lines up the DD day with 4 a tak dále. MI stands for minute. AM matches either AM or PM .
The end result is this is output to an Oracle DATE data type.
The result of this conversion can be stored back in to the table by adding a new column of DATE data type to store this:ALTER TABLE mydates ADD (important_datetime DATE);
Then a SQL UPDATE statement can be used to populate this new important_datetime columns:
UPDATE mydates SET important_dateimte = TO_DATE(IMPORTANT_DATE || ' ' || IMPORTANT_TIME, 'MM/DD/YYYY HH24:MI:SS AM')Once the column is in DATE data type, the opposite function TO_CHAR can be used to pull apart the DATE and get specific parts of it. For example, to see just the hour:
SELECT TO_CHAR(important_datetime, 'HH24') FROM mydates;
Or, to get this isolated in its own column:
ALTER TABLE MYDATES ADD (important_hour INTEGER ); UPDATE mydates SET important_hour = TO_CHAR(important_datetime, 'HH24') ;
If you don’t feel like making new columns, just nest TO_DATE inside of TO_CHAR například:
SELECT TO_CHAR( TO_DATE(IMPORTANT_DATE || ' ' || IMPORTANT_TIME, 'MM/DD/YYYY HH24:MI:SS AM'), 'HH24' ) FROM mydates; - The DECODE function can be used to provide a variety of lookup values. In the following example, the string concatenation operator || is used to put together a sentence about each employee. The DECODE command takes the COUNT of dependents as the first argument. Then, depending on the COUNT for a given employee, it returns an appropriate ending to the sentence.
SELECT fname || ' '|| lname || ' has ' || DECODE(COUNT(dependent.employeeid), 0, 'no dependents.', 1, 'one dependent.', 2, 'two dependents.', 3, 'three dependents.') AS Sentence FROM employee, dependent WHERE employee.employeeid = dependent.employeeid (+) GROUP BY employee.fname, lname; SENTENCE --------------------------------------- AHMAD JABBAR has no dependents. ALICIA ZELAYA has no dependents. FRANKLIN WONG has three dependents. JAMES BORG has no dependents. JENNIFER WALLACE has one dependent. JOHN SMITH has three dependents. JOYCE ENGLISH has no dependents. RAMESH NARAYAN has no dependents. 8 rows selected.The DECODE function can also be used to “invert” a table. That is, to transpose columns and rows. For example to show the department names along a single row we might use:
SELECT MAX(DECODE(dnumber, 1, dname)) AS Department, MAX(DECODE(dnumber, 4, dname)) AS Department, MAX(DECODE(dnumber, 5, dname)) AS Department FROM department ; DEPARTMENT DEPARTMENT DEPARTMENT --------------- --------------- --------------- HEADQUARTERS ADMINISTRATION RESEARCH
Deleting Tuples with DELETE
- DELETE is used to remove tuples from a table.
- With no WHERE clause, DELETE will remove all tuples from a table.
- Remove all employees:
DELETE employee;
- Remove only employees making more than $50,000
DELETE employee WHERE salary > 50000;
- Remove all employees working in Houston:
DELETE employee WHERE employee.dno IN (SELECT dept_locations.dnumber FROM dept_locations WHERE dlocation = 'HOUSTON'); - DELETE will not be successful if a constraint would be violated.
For example, consider the DNO attribute in the Employee table as a Foreign Key.
Removing a department would then be contingent upon no employees working in that department.
This is what we call enforcing Referential Integrity - A relative of the DELETE statement is the TRUNCATE statement:
TRUNCATE <table name> ;The TRUNCATE statement removes all records from a table but leaves the table structure in place. It is similar to:DELETE FROM table-name without a WHERE clause. However, whereas DELETE can be rolled back, TRUNCATE can not.
Change Values using UPDATE
- The UPDATE command is used to change attribute values in the database.
- UPDATE uses the SET clause to overwrite the value.
- Change the last name of an Employee:
UPDATE employee SET lname = 'SMITH' WHERE lname = 'JONES';
- Give an Employee a raise:
UPDATE employee SET salary = salary * 1.05 WHERE fname = 'JOYCE' AND lname = 'ENGLISH' ;
- Give all employees over the age of 50
a raise:UPDATE EMPLOYEE SET SALARY = SALARY * 1.02 WHERE TO_NUMBER( ( SYSDATE - bdate) / 365) >= 50;
Exercise 8:Update and Delete
For this exercise, write the SQL UPDATE and DELETE statements to:
- Add .05 to all of the Marketing major’s GPA’s.
- Change Sam’s tutor from Sue to Jane
- For any student who is currently majoring in CIS and who has a GPA of less than 3.0, change their major to Marketing.
5. Advanced SQL*Plus Commands
This section introduces some of the advanced features of SQL*Plus including editing the SQL command buffer, formatting output from SQL SELECT statements, saving the output from SQL statements and collecting performance statistics on the execution of SQL statements.
5.1 Editing The SQL Buffer
Please note that while SQL*Plus does include the following commands to edit SQL statements directly within SQL*Plus, you are likely to be far better off using a simple text editor such as pico or emacs in UNIX/Linux, or Notepad in MS Windows to perform your editing. If you intend to work in this fashion, then you can safely skip section 5.1. Having said all of that, if you are still interested in learning SQL*Plus’ editing techniques, please read on ahead.
SQL*Plus has several commands to allow the user to edit or modify SQL statements. Once a new SQL statement has been typed in (ending with a ; ) this statement is placed into a buffer and is considered to be the current SQL statement . All of the following commands operate on the current SQL statement in the buffer.
- / – Execute the current SQL statement in the buffer
- APPEND – Add text to the end of the current line of the SQL statement in the buffer
- CHANGE – Replace text on the current line of the SQL statement with new text
- CLEAR – Clear the buffer
- DEL – Delete the current line in the buffer
- INPUT – Add one or more lines to the SQL statement in the buffer
- LIST – List the current SQL statement in the buffer
- RUN – Execute the current SQL statement in the buffer
- SAVE – Save the current SQL statement to a script file
- START – Load a SQL statement located in a script file and then run that SQL statement
SQL statements may be typed with a free format. Spaces and
In the following example, an erroneous SQL statement has been entered. After the ; was typed, an error message was displayed indicating the approximate location of the error and a brief error message description.
SQL> SELECT tname, tabtype
2 FRO
3 tab;
FRO
*
ERROR at line 2:
ORA-00923: FROM keyword not found where expected
To correct line number 2, the user can type the line number followed by the correct portion of the SQL statement. This corrects the SQL statement in the buffer. The last step is to execute the SQL statement in the buffer by typing the RUN command.
SQL> 2 FROM SQL> RUN TNAME TABTYPE ------------------------------ ------- MACHINE TABLE EMPLOYEE TABLE
The LIST command can be used to display the current contents of the SQL buffer. An asterisk (*) is used to mark the current line of the SQL statement within the buffer.
SQL> LIST
1 SELECT tname, tabtype
2 FROM
3* tab The current line of the SQL statement in the buffer can be appended using the APPEND command. The syntax is:APPEND new text . In the following example the new text “xyz” is appended to line number 3 which is the current line in the buffer.
SQL> LIST
1 SELECT tname, tabtype
2 FROM
3* tab
SQL> APPEND xyz
3* tabxyz
SQL> LIST
1 SELECT tname, tabtype
2 FROM
3* tabxyz Text on a line in the SQL statement can also be replaced using the CHANGE command. The syntax for the CHANGE command is:CHANGE / old text / new text /
In the following example, text on the current line number 3 will be replaced with blank text:
SQL> LIST
1 SELECT tname, tabtype
2 FROM
3* tabxyz
SQL> CHANGE/xyz//
3* tab
SQL> LIST
1 SELECT tname, tabtype
2 FROM
3* tab
To move to a different line of the SQL statement in the buffer,
simply type the line number.
SQL> LIST
1 SELECT tname, tabtype
2 FROM
3* tab
SQL> 2
2* FROM
SQL> LIST
1 SELECT tname, tabtype
2* FROM
3 tab
The DEL command can be used to delete the current line of the SQL
statement out of the buffer as in the following example.
SQL> LIST
1 SELECT tname, tabtype
2* FROM
3 tab
SQL> DEL
2
SQL> LIST
1 SELECT tname, tabtype
2* tab
A SQL statement in the buffer can be saved to a file for later use.
The SAVE command serves this purpose. The syntax for the SAVE
command is:SAVE filename
In this example, the current contents of the buffer are saved to a
file called query.sql:
SQL> LIST
1 SELECT tname, tabtype
2* FROM
3 tab
SQL> SAVE query.sql
A directory and/or drive letter (for those using MS DOS or
MS Windows) can be placed in front of the file name in
order to re-direct the file to another drive or directory.
For example, to save the current statement to a USB thumb drive
on the d:drive:
SQL> SAVE d:\query.sql
A SQL statement saved in a file can then be loaded and executed using the START command. The syntax for the START command is:START filename
Here, the file query.sql created in the previous example is loaded and executed using the START command:
SQL> START query.sql TNAME TABTYPE ------------------------------ ------- MACHINE TABLE EMPLOYEE TABLE SQL>
Again, a drive letter and/or directory name can be placed in front of the file name.
In many cases, it is easiest to create and edit a set of text files containing the queries and then use the START command to execute them. Instructions for this vary depending on the operating system. For example, under a UNIX system, one can use a text editor such as VI , Emacs or Pico to create text files with the create statements to create the tables, insert statements to add data and select statements to perform some queries.
Under MS Windows, one can use the Windows NotePad editor to create these same types of files. If the files are stored on a USB drive (for example, the d: drive), then the START command can be used as follows:
SQL> START d:\query.sql
Under UNIX or Linux, the START command should reference the path and the
file name using backslahes. Například:
SQL> START /home/holowczak/oracle/queries/query.sql
When working with SQL statements and SQL*Plus commands in a script file, be sure and make backups of your files.
5.2 Formatting SQL*Plus Output
SQL*Plus contains several commands that can alter the appearance of the output. These commands are only in effect for the current SQL*Plus session. They can also be included in SQL script files and can be executed using the START command.
The formatting commands include:
- BREAK – Set the formatting behavior for records that have the same values for some columns
- BTITLE – Place a title on the bottom of each page in the printout from a SQL statement
- COLUMN – Change the appearance of an output column from a query
- REMARK – Place a comment following the REMARK keyword
- SET – Set a SQL*Plus variable to a new value
- SHOW – Show the current value of a SQL*Plus variable
- TTITLE – Place a title on the top of each page in the printout from a SQL statement
- UNDEFINE – Delete a user defined variable
Note that none of these SQL*Plus formatting commands changes the underlying table structures.
Perhaps the most useful command is COLUMN which changes the appearance of data for a given column. The syntax for the COLUMN command is as follows:
COLUMN column_name option1 option2 ...
Where option can be one or more of the following:
-
FORMAT format– Changes the format for the column. For example, to only display the first 10 characters of an employee’s last name (column LNAME), use the following:COLUMN lname FORMAT A10
This indicates to format the lname column as an Ascii column with only 10 characters. Numbers can be formatted using “9” to indicate digits. Například:
COLUMN salary FORMAT $9,999,990.99
-
HEADING heading_text
– changes the heading for a column. -
JUSTIFY LEFTorJUSTIFY CENTERorJUSTIFY RIGHT– aligns the output with the left, center or right of the column. -
NULL text– Indicates the text that should be displayed in place of a NULL value. -
WRAPPEDorWORD_WRAPPEDorTRUNCATED– Indicates how text that is longer than the displayed column width should be handled.TRUNCATEDmeans it will be cut off at the maximum width of the field.WRAPPEDwill wrap the value down to the
next line of output.WORD_WRAPPEDdoes the same as Wrapped but breaks the value up on white space.
The SET and SHOW commands can also be useful. To see a listing of all of the SQL*Plus variables, type SHOW ALL
SQL> show all appinfo is ON and set to "SQL*Plus" arraysize 15 autocommit OFF autoprint OFF autotrace OFF shiftinout INVISIBLE blockterminator "." (hex 2e) btitle OFF and is the 1st few characters of the next SELECT cmdsep OFF colsep " " compatibility version NATIVE concat "." (hex 2e) copycommit 0 copytypecheck is ON define "&" (hex 26) echo OFF editfile "afiedt.buf" embedded OFF escape OFF feedback ON for 6 or more rows flagger OFF flush ON heading ON headsep "|" (hex 7c) linesize 100 lno 24 loboffset 1 long 80 longchunksize 80 newpage 1 null "" numformat "" numwidth 9 pagesize 24 pause is OFF pno 0 recsep WRAP recsepchar " " (hex 20) release 800030000 repfooter OFF and is NULL repheader OFF and is NULL serveroutput OFF showmode OFF spool OFF sqlcase MIXED sqlcode 0 sqlcontinue "> " sqlnumber ON sqlprefix "#" (hex 23) sqlprompt "SQL> " sqlterminator ";" (hex 3b) suffix "SQL" tab ON termout ON time OFF timing OFF trimout ON trimspool OFF ttitle OFF and is the 1st few characters of the next SELECT underline "-" (hex 2d) user is "HOLOWCZAK" verify ON wrap : lines will be wrapped
Some of the SQL*Plus variables of interest include BTITLE and TTITLE described above, Other useful variables include:
- SET COLSEP – The separator characters between columns (default is a space)
- SET ECHO – Determines if SQL*Plus commands should be echoed or not. The default is
OFFmeaning SQL*Plus commands will not be echoed. - SET HEADING – Determines if column headings should be displayed or not. Default is
ON. - SET LINESIZE – Determines the maximum number of characters in a line of output. The default is 80.
- SET LONG – Determines how much data in a
LONGcolumn will be displayed. The default is 80 bytes. - SET MARKUP – Converts output of SQL*Plus to HTML markup (Oracle8i and above only). For example:SET MARKUP HTML ON
- SET NULL – Determines what value should be displayed in place of a NULL value.
- SET PAGESIZE – The number of lines for one page (before the headers repeat). The default is 24 lines.
- SET PAUSE – Determines if output should be paused after
PAGESIZElines have been displayed. The default isOFF. - SET TRIMOUT – Determines if each line should be padded with blanks out to a length of
LINESIZE. The default isONmeaning the output will be trimmed (e.g., will not be padded with spaces). - SET WRAP – Determines if the output will be wrapped to the next line or truncated if the line is longer than
LINESIZE. The default isONmeaning long output will be wrapped.
The following example shows an SQL*Plus script file (myquery.sql ) that utilizes some of the above formatting commands.Assume this text file is saved on a USB disk assigned as the D: drive on this computer. The output
of this script is displayed afterwards.
TTITLE 'Employees, Departments and Department Managers'
SET PAGESIZE 36
COLUMN address FORMAT A20 WORD_WRAPPED
COLUMN dept_manager FORMAT A13 WORD_WRAPPED HEADING 'Dept. Manager'
COLUMN dno FORMAT 999
SELECT employee.fname, employee.lname, employee.address,
employee.dno, department.dname,
employee2.fname || ' ' || employee2.lname dept_manager
FROM employee, department, employee employee2
WHERE employee.dno = department.dnumber
AND department.mgrempid = employee2.employeeid ;
When the above script is executed, the following output is displayed:
SQL> START d:\myquery.sql
Mon Jan 05
Employees, Departments and Department Managers
FNAME LNAME ADDRESS DNO DNAME Dept. Manager
-------- -------- -------------------- --- -------------- -------------
JOHN SMITH 731 FONDREN, 5 RESEARCH FRANKLIN WONG
HOUSTON, TX
FRANKLIN WONG 638 VOSS,HOUSTON TX 5 RESEARCH FRANKLIN WONG
RAMESH NARAYAN 975 FIRE OAK, 5 RESEARCH FRANKLIN WONG
HUMBLE, TX
JOYCE ENGLISH 5631 RICE, HOUSTON, 5 RESEARCH FRANKLIN WONG
TX
JAMES BORG 450 STONE, HOUSTON, 1 HEADQUARTERS JAMES BORG
TX
ALICIA ZELAYA 3321 CASTLE, SPRING, 4 ADMINISTRATION JENNIFER
TX WALLACE
JENNIFER WALLACE 291 BERRY, BELLAIRE, 4 ADMINISTRATION JENNIFER
TX WALLACE
AHMAD JABBAR 980 DALLAS, HOUSTON, 4 ADMINISTRATION JENNIFER
TX WALLACE
8 rows selected.
The BREAK command is useful for formatting the output of queries where the same values in a column will not be repeated in the output. For example, assume the following query is executed:
SELECT salary, lname FROM employee ORDER BY salary;
Since some employees have the same salary, those values would be repeated. The following BREAK command will cause the repeated values to be suppressed.
BREAK ON salary
Additional columns can also participate in the groupings made by BREAK by appending ON columnname to the command. Například:
BREAK ON salary ON fname
The current setting for BREAK stays in effect until it is either turned off with the CLEAR BREAKS command or the SQL*Plus session is terminated.
Exercise 9:Creating a Report Script
For this exercise, take the following query and create a script file with appropriate titles and column formatting. Use the BREAK ON command so that the DNO and DNAME only appears once for each group of employees in the department.
SELECT employee.dno, department.dname,
INITCAP(employee.fname) AS FNAME,
INITCAP(employee.lname) AS LNAME,
employee.salary
FROM employee, department
WHERE employee.dno = department.dnumber
ORDER BY dno;
Below is the desired output:
Thu Aug 29 page 1
Departments and Employees
Dept. Num Dept. Name First Last Salary
--------- --------------- -------- -------- --------
1 HEADQUARTERS James Borg $25,000
4 ADMINISTRATION Alicia Zelaya $25,000
Jennifer Wallace $43,000
Ahmad Jabbar $25,000
5 RESEARCH Joyce English $25,000
Ramesh Narayan $38,000
Franklin Wong $40,000
5.3 Saving SQL*Plus Output using the SPOOL Příkaz
SQL*Plus has a command called SPOOL that can send the output from any SQL statement to a file. Indeed, anything that is displayed in SQL*Plus can be echoed to this spool file.
The SPOOL command is invoked with the name of a file that will contain the output. Once this has been executed, the output from all subsequent SQL statements will be copied to the file. To end capturing the output, issue the SPOOL OFF příkaz. The following is an example:
SQL> SPOOL d:\myfile.out SQL> SELECT * from EMPLOYEE; etc. Any SQL statements typed here will show up in the output. SQL> SPOOL OFF
The SPOOL OFF command turns the output off. Everything between SPOOL d:\myfile.out and SPOOL OFF will be in the file myfile.out. This is a simple ASCII text file that can be read by Windows Notepad, MS Word, or just about any word processor, e-mail package, etc. To print, load this file into MS Word, set the font to Courier and print as you would with any other document.
Note that some SQL*Plus commands will not show up in the SPOOL file. To have them echo to the SPOOL file, use the SET ECHO ON možnost.
Also, when SPOOLing to a file, SQL*Plus makes each line 80 characters long by padding with spaces. This can be shortened to fewer characters using the SET LINESIZE volba. For example, SET LINESIZE 70 will pad each line of output to 70 characters.
The SET TRIMOUT and SET TABS options offer other ways to change the spooled output.
Exercise 10:Creating a Report Script and Saving the output
For this exercise, take the script created for exercise 9 and add the necessary SQL*Plus commands to spool the report to a text file. One in a text file, load this file into a text editor or word processor and print it. Note that if you are loading a text file into a word processor such as MS Word, you should change the font of the text to Courier or Courier New (this is a fixed width font) so that the output lines up correctly.
5.4 Prompting and Accepting user Input
SQL*Plus has several commands that can be used to prompt the user for input, accept input from the user and store it in a variable, and then use that variable in a query.
The following example shows the prompt/accept sequence for a query.
PROMPT Type the department you are looking for ACCEPT dept NUMBER PROMPT "Department Number: " SELECT fname, lname, dno FROM employee WHERE dno = &dept ;
When this script is executed, the following output is shown:
SQL> START a:\empquery.sql Type the department you are looking for Department Number: 5 old 3: WHERE dno = &dept new 3: WHERE dno = 5 FNAME LNAME DNO -------- -------- --------- JOHN SMITH 5 FRANKLIN WONG 5 RAMESH NARAYAN 5 JOYCE ENGLISH 5
In the above example, the user typed “5” in response to the Department Number: prompt.
The first PROMPT command simply echoes out a line to the display. The second command, ACCEPT, accepts input from the user. In this case, the variable that will hold the input is called dept . The input should be of type NUMBER , and the PROMPT Department Number: should be displayed.
Once the user types the department number and presses enter, the variable dept takes on the value. The following two lines (starting with old and new) are verifying the values used for the dept variabilní. To suppress the display of this verification, use the SET VERIFY OFF command before running the script or as one of the first commands in the script.
In the following example, additional commands have been added including the SET VERIFY and REMARK commands to improve the script.
REMARK This script accepts a department number as REMARK input from the user and then displays the REMARK last name, first name, address and department number REMARK of the employees in that department REMARK Turn off VERIFY SET VERIFY OFF REMARK Format some columns COLUMN dno FORMAT 99999 HEADING 'Dept.|Number' COLUMN address FORMAT A25 HEADING 'Address' COLUMN fname FORMAT A10 HEADING 'First|Name' COLUMN lname FORMAT A12 HEADING 'Last|Name' REMARK Prompt the user and get a department number PROMPT Type the department you are looking for ACCEPT dept NUMBER PROMPT "Department Number: " REMARK Perform the query SELECT fname, lname, address, dno FROM employee WHERE dno = &dept ;
When this script is executed, the following output is shown:
SQL> START d:\empquery.sql Type the department you are looking for Department Number: 4 First Last Dept. Name Name Address Number ---------- ------------ ------------------------- ------ ALICIA ZELAYA 3321 CASTLE, SPRING, TX 4 JENNIFER WALLACE 291 BERRY, BELLAIRE, TX 4 AHMAD JABBAR 980 DALLAS, HOUSTON, TX 4
For variables that are not numeric type, the data type is not required in the ACCEPT command. For example, to search for a specific employee by name:
PROMPT Type the last name of the employee you are looking for
ACCEPT name PROMPT "Employee last name: "
SELECT fname, lname, dno
FROM employee
WHERE UPPER(lname) like UPPER('%&name%');
In the above example, the UPPER() function is used to change both the column values of lname and the text the user supplied for the &name variable to all upper case letters. In this way, a match will be made even if the user types in lower case letters for the &name . variable.
Exercise 11:Prompting and Accepting User Input
Create a script that accepts a salary from the user and then returns a list of employees who make more the amount provided by the user. The following is the desirable output:
Please provide a Salary Salary: 30000 First Last Name Name Salary ---------- ------------ -------- FRANKLIN WONG $40,000 JENNIFER WALLACE $43,000 RAMESH NARAYAN $38,000
5.5 Generating HTML output from SQL*Plus
Starting with Oracle8i and continuing with all newer versions, SQL*Plus has the ability to generate HTML output in place of the normal text based output generated from query results. This facility is especially useful when combined with a web server. Through the use of SQL script files and the SPOOL command, one can easily build a relatively robust query engine that accepts parameters from a web browser, writes a query and additional formatting commands to a script file, invokes SQL*Plus with the script file and then returns the resulting output file (with HTML code) to the user’s web browser. Below are a few techniques to get started using HTML output.
The first step in generating HTML output is to work with the SET MARKUP command in SQL*Plus. At the SQL> prompt, switch the MARKUP to HTML as follows:
SQL> SET MARKUP HTML ON SQL>
Notice that the SQL prompt even changes to proper HTML by using the HTML code for a greater than sign. At this point, issuing any query will result in the output formatted as an HTML table. Například:
SQL> SELECT fname, lname, salary FROM employee
WHERE employeeid = '123456789';
<br>
<p>
<table border="1" width="90%">
<tr>
<th>
FNAME
</th>
<th>
LNAME
</th>
<th>
SALARY
</th>
</tr>
<tr>
<td>
JOHN
</td>
<td>
SMITH
</td>
<td align="right">
30000
</td>
</tr>
</table>
<p>
Other SQL*Plus commands such as TITLE will also produce appropriate HTML markup.
Exercise 12:Generating HTML output
For this exercise, use the script created in exercise 10 (with the ability to SPOOL to a file named report.htm ) and add the necessary commands to generate HTML output from the query. Load the resulting spool file into a web browser.
5.6 Collecting Statistics On SQL Statements
SQL*Plus has several commands that monitor the execution of SQL statements. The commands can be used to gather statistical information for performance monitoring purposes. Database Administrators (DBAs) call this Profiling and it can be used to find SQL queries that take too long or consume too many database resources.
The first command is called AUTOTRACE and is used to trace the execution plan for an SQL statement. To use AUTOTRACE , a special table must be created in the schema to hold the statistical information. Execute the following CREATE TABLE command in your schema:
create table PLAN_TABLE ( statement_id varchar2(30), timestamp date, remarks varchar2(80), operation varchar2(30), options varchar2(30), object_node varchar2(128), object_owner varchar2(30), object_name varchar2(30), object_instance numeric, object_type varchar2(30), optimizer varchar2(255), search_columns number, id numeric, parent_id numeric, position numeric, cost numeric, cardinality numeric, bytes numeric, other_tag varchar2(255), partition_start varchar2(255), partition_stop varchar2(255), partition_id numeric, other long);
This table need only be created once. No data is permanently stored in PLAN_TABLE so it will not take much if any space.
To check the execution plan for each SQL statement, turn the AUTOTRACE option on with the following SQL*Plus command:
SET AUTOTRACE ON
Then execute an SQL statement:
SQL> SELECT fname, minit, lname, employeeid, bdate, address
FROM employee;
FNAME MI LNAME EMPLOYEEID BDATE ADDRESS
-------- -- -------- ---------- --------- ------------------------
JOHN B SMITH 123456789 09-JAN-75 731 FONDREN, HOUSTON, TX
FRANKLIN T WONG 333445555 08-DEC-65 638 VOSS,HOUSTON TX
ALICIA J ZELAYA 999887777 19-JUL-78 3321 CASTLE, SPRING, TX
JENNIFER S WALLACE 987654321 20-JUN-51 291 BERRY, BELLAIRE, TX
RAMESH K NARAYAN 666884444 15-SEP-72 975 FIRE OAK, HUMBLE, TX
JOYCE A ENGLISH 453453453 31-JUL-82 5631 RICE, HOUSTON, TX
AHMAD V JABBAR 987987987 29-MAR-79 980 DALLAS, HOUSTON, TX
JAMES E BORG 888665555 10-NOV-47 450 STONE, HOUSTON, TX
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 TABLE ACCESS (FULL) OF 'EMPLOYEE'
Statistics
----------------------------------------------------------
0 recursive calls
3 db block gets
2 consistent gets
0 physical reads
0 redo size
1891 bytes sent via SQL*Net to client
651 bytes received via SQL*Net from client
4 SQL*Net roundtrips to/from client
1 sorts (memory)
0 sorts (disk)
8 rows processed
Notice the regular output from the SQL command is given followed by the Execution plan and the statistics.
To turn off AUTOTRACE , issue the following command:
SET AUTOTRACE OFF
The next useful command for performance monitoring is called TIMING . This command starts a timer that can be read at any interval, similar to how a stopwatch operates. To set up a timer, issue the following command:
SQL> TIMING START select_emp
SQL> SELECT fname, minit, lname, employeeid, bdate
FROM employee ;
FNAME MI LNAME EMPLOYEEID BDATE
-------- -- -------- ---------- ---------
JOHN B SMITH 123456789 09-JAN-75
FRANKLIN T WONG 333445555 08-DEC-65
ALICIA J ZELAYA 999887777 19-JUL-78
JENNIFER S WALLACE 987654321 20-JUN-41
RAMESH K NARAYAN 666884444 15-SEP-72
JOYCE A ENGLISH 453453453 31-JUL-82
AHMAD V JABBAR 987987987 29-MAR-79
JAMES E BORG 888665555 10-NOV-47
8 rows selected.
SQL> TIMING SHOW select_emp
timing for: select_emp
real: 1760
Thus the above query took 1.76 seconds to complete.
To stop a timer, issue the TIMING STOP příkaz. Note that AUTOTRACE and TIMING should probably not be used in conjunction as it would be difficult to separate the execution time for the SQL statement from the time taken to generate the plan and statistics.
Exercise 13:Generating Statistics
Produce the query plan and time the execution of the following SQL statement:
SELECT employee.fname, employee.lname, employee.address,
employee.dno, department.dname,
employee2.fname || ' ' || employee2.lname dept_manager
FROM employee, department, employee employee2
WHERE employee.dno = department.dnumber
AND department.mgrempid = employee2.employeeid;
5.7 Using the ALTER SESSION Statement for Date Formats
In the previous examples of SQL statements, the default format of data of type DATE has been in the form:DD-MON-YY
The TO_CHAR and TO_DATE functions can be used to convert dates to other formats, however, this may become inconvenient, especially when inserting a large number of rows.
The ALTER SESSION statement can be used to alter various characteristics of the current SQL*Plus session including the default date format. This statement is often used to format dates to conform to regional customs. The syntax of ALTER SESSION for use with changing the default date format is as follows:
ALTER SESSION
SET NLS_DATE_FORMAT = <date_format>
The date_format can include the following codes:
YY | A 2 digit year such as 98. |
YYYY | A 4 digit year such as 1998. |
NM | A month number. |
MONTH | The full name of the month. |
MON | The abbreviated month (Jan, Feb, Mar). |
DDD | The day of the year. For use is Julian dates. |
DD | The day of the month. |
D | The day of the week. |
DAY | The name of the day. |
HH | The hour of the day (12 hour clock) |
HH24 | The hour of the day (24 hour clock) |
MI | The minutes. |
SS | The seconds. |
For example, to change the default date to include a full four digit year, issue the following ALTER SESSION statement:
ALTER SESSION SET NLS_DATE_FORMAT = 'DD-MON-YYYY'
From this point, all INSERT, UPDATE and DELETE statements must format the date accordingly. Also, any SELECT statements will return the date formatted accordingly.
Note that this change only remains in effect for the current session. Logging out of SQL*Plus and logging back in (or re-connecting to the Oracle database using the connect command) will reset the date format back to its default.
6. Oracle Stored Procedures and Triggers
The Oracle RDBMS has the ability to store procedures within the data dictionary and execute procedures in the RDBMS. Procedures (Program Units) are written in the PL/SQL language (Procedural Language), which is proprietary to Oracle. PL/SQL runs in both the database engine as well as in many of Oracle’s development tools such as Oracle Developer.
Here is an excellent book on Oracle PL/SQL:Oracle PL/SQL Programming:Covers Versions Through Oracle Database 11g Release 2 (Animal Guide) 
The basic PL/SQL programming unit is called a block. A block begins with the BEGIN keyword and ends with the END; klíčové slovo. All statements and blocks in PL/SQL must end with semicolons. Below is one example of a stored procedure block:
BEGIN
-- This is a comment line
-- Now use the PUT_LINE produce to display something
DBMS_OUTPUT.PUT_LINE('Hello World');
END;
Note:To see the outputs from stored procedures, type the command SET SERVEROUTPUT ON at the SQL> prompt in SQL*Plus. The PUT_LINE procedure is like the printf function in “C” or the System.out.println method in Java
Variables may be declared in a block. Data types for the variables match the underlying datatypes supported by the DBMS. The most commonly used data types are therefore:VARCHAR, NUMBER and DATE. Například:
DECLARE myname VARCHAR(100); BEGIN -- Assign 'Joe Smith' as the name myname := 'Joe Smith'; -- Now use the PUT_LINE produce to display the name DBMS_OUTPUT.PUT_LINE(myname); END; |
In addition to using these data types, one can also declare variables based upon the data types of columns in database tables. This is done using the %TYPE syntax. Například:
DECLARE -- Declare the mydept variable using the same data type as the -- dno column in the employee table. mydept employee.dno%TYPE; BEGIN -- Assign 5 as the department mydept := 5; -- Now use the PUT_LINE produce to display the department DBMS_OUTPUT.PUT_LINE(mydept); END; |
Exercise 14:Basic PL/SQL Procedure
For this exercise, write a PL/SQL block that declares three variables:AGE, MIDDLE_INITIAL and SALARY. For the MIDDLE_INITIAL and SALARY, use the data types that correspond to the column data types in the employee table (the MINIT and SALARY columns). Declare the AGE variable as NUMBER. Assign values to each of these variables and then use the PUT_LINE procedure (as was done above) to output each of them.
PL/SQL Statements
The PL/SQL language has all of the conditional (IF …THEN) looping (WHILE), assignment, variable declaration and other language constructs of a complete programming language. SQL statements may be freely mixed in with the other programming
statements. Below is an example of a conditional statement (IF…THEN):
DECLARE
deptnum department.dnumber%TYPE;
BEGIN
deptnum := 5;
IF (deptnum > 3) THEN
DBMS_OUTPUT.PUT_LINE('Employees should be paid more than 25,000');
ELSE
DBMS_OUTPUT.PUT_LINE('Employees should be paid exactly 40,000');
END IF;
END;
|
Below is an example of a looping construct (FOR):
DECLARE
i INTEGER;
message VARCHAR(180);
BEGIN
message := 'Hello World ';
FOR i IN 1..10 LOOP
DBMS_OUTPUT.PUT_LINE(message || i);
END LOOP;
END;
|
The major change to the SQL Data Manipulation Language is to the syntax of the SELECT statement. All SELECT statements in PL/SQL must use the INTO clause to redirect the rows returned by the SELECT into variables. The syntax of the SELECT statement is:
SELECT <column1, column2, . . .>
INTO <var1, var2, . . .>
FROM <table1, table2, . . .>
WHERE <where clause>
GROUP BY <column1, column2, . . .>
HAVING <having clause>
ORDER BY <column1, column2, . . .>
|
Variables named in the INTO clause correspond to the order of columns selected in the SELECT clause. Například:
DECLARE
empsalary NUMBER;
empdepartment NUMBER;
BEGIN
SELECT employee.salary, employee.dno
INTO empsalary, empdepartment
FROM employee
WHERE employee.lname = 'SMITH';
IF (empdepartment = 1) THEN
UPDATE employee
SET salary = empsalary * 1.03
WHERE employee.lname = 'SMITH';
END IF;
END;
|
The above PL/SQL block declares two variables and then executes a SELECT statement returning the salary in PL/SQL variable empsalary and the department number in PL/SQL variable empdepartment for employee SMITH. If the empdepartment is equal to 1 then an SQL UPDATE statement is executed.
It is possible that a SELECT…INTO statement can return more than on row or record, or no records at all. In such situations, the entire SELECT statement will fail resulting in what is called an EXCEPTION. EXCEPTIONs in PL/SQL must be handled (taken care of) by some code. Most all triggers and stored procedures that use SELECT…INTO have EXCEPTION handling code.
The EXCEPTION code the following syntax:
EXCEPTION WHEN <exception_name> THEN BEGIN ... END; WHEN <exception_name> THEN BEGIN ... END; WHEN OTHERS THEN BEGIN ... END; |
To continue the above example, the exception code would appear as follows at the end of the regular stored procedure code:
EXCEPTION
WHEN NO_DATA_FOUND THEN
BEGIN
RAISE_APPLICATION_ERROR(-20610,
'No employee with last name SMITH found');
END;
WHEN TOO_MANY_ROWS THEN
BEGIN
RAISE_APPLICATION_ERROR(-20612,
'More than one employee with last name SMITH found');
END;
|
The PL/SQL language has many more statements and additional syntax that can be found in the PL/SQL Reference Guide documentation.
Creating Procedures and Triggers
There are two main ways of storing PL/SQL code in the Oracle database:CREATE PROCEDURE and CREATE TRIGGER. Triggers are code that are executed automatically in response to some event. Events include the execution of a DML statement on a table (such as INSERT, UPDATE, DELETE, MODIFY). Procedures are typically used to implement general program logic that can be shared across applications, triggers and utilities. A procedure must be explicitly called by an application, trigger or program.
It is common practice to store general business rule checking in procedures. This allows applications to check data validity before a transaction is submitted to the database. Triggers can also call the procedures to check data at the database level. Since the business rules are coded in a single set of procedures, maintenance of this code is simplified.
In the next section, we will introduce the syntax for creating triggers and demonstrate the use of a trigger to enforce a business rule.
6.1 Oracle Trigger Syntax
Creating a trigger is accomplished with the CREATE TRIGGER statement. There are numerous options for a trigger that specify when the trigger should fire. These options include:
- The SQL statement (INSERT, UPDATE, DELETE, SELECT) that causes the event. An event can include more than one SQL statement per trigger.
- The timing when the trigger code is executed. Options here include
- BEFORE – The trigger code is executed before the effects of the SQL statement are put into place.
- INSTEAD OF – The trigger code is executed instead of the normal SQL statement.
- AFTER – The trigger code is executed after the normal SQL statement is processed.
- Some SQL statements such as UPDATE, DELETE and SELECT may affect more than one row. Triggers may be specified to fire once for the entire SQL statement or once for each row affected by the SQL statement.
6.2 Trigger Example
Here is an example trigger called check_age used to check if an employee is over the age of 16. This trigger will be executed in response to the events of INSERT or DELETE on the employee table. The check_age trigger code will be executed BEFORE the affects of the SQL statement are put into place. Finally, check_age will execute FOR EACH ROW affected by the SQL statement.
Lines starting with the double minus sign -- are comments and are ignored by the trigger.
CREATE OR REPLACE TRIGGER check_age
BEFORE INSERT OR UPDATE ON employee
FOR EACH ROW
DECLARE
-- Declare two variables.
years_old NUMBER;
error_msg VARCHAR(180);
BEGIN
-- The variable :new.bdate will be holding the new birth date
-- of the record to be inserted or updated. Subtract from
-- the system date and divide by 365 to get years.
years_old := ( (sysdate - :new.bdate) / 365);
-- Now check to see if the new employee is under age.
-- If so, then show an error.
IF (years_old < 16) THEN
error_msg := 'Do not hire ' || :new.fname || ' ' ||
:new.lname || '. They are only ' ||
TO_CHAR(years_old, '99.9') || ' years old.';
-- Signal the user there is a problem with this data.
-- This also aborts the affects of the SQL statement
-- for the current row.
RAISE_APPLICATION_ERROR ( -20601, error_msg);
END IF;
END;
|
After this code has been entered in SQL*Plus, an additional line will appear as if the SQL statement should continue. To complete entering the trigger code, type a forward slash / and the code will be submitted.
One of three things will happen when a new procedure or trigger is created:
- If there are no syntax errors, the code will be compiled and the trigger will be stored in the user’s schema. In this case, SQL*Plus will respond with a message that the trigger was created.
- If there are some minor syntax errors within the code itself (between DECLARE and the last END statement), the trigger will still be created and stored in the database, however a message will be returned:Trigger created with compilation errors .
To view the compilation errors check the USER_ERRORS view:
SELECT * FROM USER_ERRORS
or use the SHOW ERRORS SQL*Plus command. - Finally, if there are syntax errors in the CREATE OR REPLACE TRIGGER statement itself (such as if the employee table does not exist or one of the key words was misspelled), then the entire statement will be rejected and the trigger code will not be saved in the schema.
To see if the trigger compiled correctly, look in view USER_ERRORS as follows:
SQL> SELECT * FROM user_errors; no rows selected
If the message no rows selected appears, then no errors were found in the trigger.
Alternately, use the SQL*Plus command SHOW ERRORS .
To view the trigger code:
SQL> SET LONG 4096 SQL> SET PAGESIZE 90 SQL> SELECT * FROM user_triggers;
Or, in a more compact form:
SQL> SELECT trigger_name, trigger_body
FROM user_triggers
WHERE trigger_name = 'CHECK_AGE';
Once the trigger has been entered without syntax errors, it can be tested. See what happens when we attempt to insert a new employee record where the employee’s birthdate is less than 16 years ago:
SQL> INSERT INTO employee VALUES ('12332199', 'Joe', 'K', 'Smith',
2 '08-JUN-1999', '123 Smith St,', 'M', 32000, 888665555, 1);
INSERT INTO employee VALUES ('12332199', 'Joe', 'K', 'Smith',
*
ERROR at line 1:
ORA-20601: Do not hire Joe Smith. They are only 15.6 years old.
ORA-06512: at "HOLOWCZAK.CHECK_AGE", line 8
ORA-04088: error during execution of trigger 'HOLOWCZAK.CHECK_AGE'
6.3 Stored Procedure Example
The following example implements a simple inventory system. The Products table holds a list of products with a productid as the key and a description. The inventory location table holds a series of locations in the warehouse including an identifier and the aisle, tier and bin. Finally, the intersection of these two tables is the inventory table which takes a locationid and a productid and gives the quantity of the product present at the location.
SQL Statements to create and populate tables
The SQL code to create and populate the three tables is given below:
First step:Create three tables and add constraints
CREATE TABLE inventory_locations (
locationid NUMBER(10) NOT NULL,
aisle NUMBER(10),
tier NUMBER(10),
bin NUMBER(10) );
ALTER TABLE inventory_locations
ADD CONSTRAINT il_pk PRIMARY KEY (locationid);
CREATE TABLE products (
productid VARCHAR(10) NOT NULL,
description VARCHAR(35) );
ALTER TABLE products ADD CONSTRAINT prod_pk
PRIMARY KEY (productid);
CREATE TABLE inventory (
locationid NUMBER(10) NOT NULL,
productid VARCHAR(10) NOT NULL,
quantity NUMBER(10) );
ALTER TABLE inventory ADD CONSTRAINT inventory_pk
PRIMARY KEY (locationid, productid);
Next step:Add some data to the three tables
INSERT INTO inventory_locations VALUES (101, 1, 1, 1);
INSERT INTO inventory_locations VALUES (102, 1, 1, 2);
INSERT INTO inventory_locations VALUES (103, 1, 1, 3);
INSERT INTO inventory_locations VALUES (104, 1, 2, 1);
INSERT INTO inventory_locations VALUES (105, 1, 2, 2);
INSERT INTO inventory_locations VALUES (106, 1, 2, 3);
INSERT INTO inventory_locations VALUES (107, 2, 1, 1);
INSERT INTO inventory_locations VALUES (108, 2, 1, 2);
INSERT INTO products VALUES ('P500', 'HP LaserJet 6L');
INSERT INTO products VALUES ('P510', 'HP DeskJet 855');
INSERT INTO products VALUES ('P520', 'IBM Aptiva');
INSERT INTO products VALUES ('P530', 'Compaq Presario');
INSERT INTO inventory VALUES (101, 'P500', 5);
INSERT INTO inventory VALUES (102, 'P510', 10);
INSERT INTO inventory VALUES (103, 'P500', 10);
INSERT INTO inventory VALUES (104, 'P520', 1);
INSERT INTO inventory VALUES (105, 'P530', 5);
The following query shows the current state of the inventory:
SELECT i.locationid, aisle, tier, bin, i.productid, description, quantity FROM inventory i, inventory_locations il, products p WHERE i.locationid = il.locationid AND i.productid = p.productid;
We can create a view to implement this query:
CREATE VIEW vw_inventory AS SELECT i.locationid, aisle, tier, bin, i.productid, description, quantity FROM inventory i, inventory_locations il, products p WHERE i.locationid = il.locationid AND i.productid = p.productid;
To see the current state of the inventory, simply query the view:
SELECT * FROM vw_inventory;
To see the output from the stored procedures, set the following options (Note:You must do this each time you log into SQL*Plus).
SET SERVEROUTPUT ON SET ARRAYSIZE 2
6.3 Stored Procedure Example – Continued
Stored Procedures to Add and Remove items From inventory
Adding a new product to an existing location requires the following:
- Check to see if some quantity of that product is already in the location. If so, then UPDATE the quantity already there.
- If that product is not currently in the location, then INSERT a new inventory record with the locationid, productid and new quantity.
The following Oracle PL/SQL implements the add_to_inventory procedure:
CREATE OR REPLACE PROCEDURE add_to_inventory (
new_locationid IN NUMBER,
new_productid IN VARCHAR,
new_quantity IN NUMBER) AS
-- Declare a new variable called 'current_quantity' that is of the same
-- type as the column quantity in the inventory table
current_quantity inventory.quantity%TYPE;
BEGIN
-- Initialize current_quantity to 0
current_quantity := 0;
-- See if some quantity exists at the current location
-- If not, then raise EXCEPTION and insert a new record
-- If so, then continue on to the UPDATE statement
SELECT inventory.quantity
INTO current_quantity
FROM inventory
WHERE inventory.locationid = new_locationid
AND inventory.productid = new_productid;
-- If we get this far, then there must already exist
-- an inventory record with this locationid and productid
-- So update the inventory by adding the new quantity.
IF (current_quantity > 0) THEN
UPDATE inventory
SET quantity = quantity + new_quantity
WHERE inventory.locationid = new_locationid
AND inventory.productid = new_productid;
END IF;
-- If the first SELECT statement above fails to return any
-- records at all, then the NO_DATA_FOUND exception will be
-- signalled. The following code reacts to this exception.
EXCEPTION
WHEN NO_DATA_FOUND THEN
BEGIN
-- Since an inventory record matching the locationid and
-- productid can not be found, we must INSERT a new
-- inventory record.
INSERT INTO inventory
(locationid, productid, quantity)
VALUES (new_locationid, new_productid, new_quantity);
END;
END;
|
Removing an existing product from inventory requires the following:
- Check to see if the requested quantity of that product is available in the location. If so, then UPDATE the quantity.
- If the resulting quantity falls to 0, then DELETE the inventory record.
CREATE OR REPLACE PROCEDURE remove_from_inventory (
current_locationid IN NUMBER,
current_productid IN VARCHAR,
quantity_to_remove IN NUMBER) AS
-- Declare a new variable called 'current_quantity' that is of the same
-- type as the column quantity in the inventory table
current_quantity inventory.quantity%TYPE;
-- Declare an error message string.
error_msg VARCHAR(180);
BEGIN
current_quantity := 0;
-- See if some quantity exists at the current location
-- If not, then raise EXCEPTION and exit the procedure.
-- If so, then continue on to the UPDATE statement
SELECT quantity
INTO current_quantity
FROM inventory
WHERE inventory.locationid = current_locationid
AND inventory.productid = current_productid;
-- If we get this far, then there must already exist
-- an inventory record with this locationid and productid
-- So update the inventory by removing the quantity.
IF (current_quantity - quantity_to_remove > 0) THEN
UPDATE inventory
SET quantity = quantity - quantity_to_remove
WHERE inventory.locationid = current_locationid
AND inventory.productid = current_productid;
END IF;
-- If the quantity to remove is the same as the current
-- quantity in the location, then simply delete the
-- entire record.
IF (current_quantity - quantity_to_remove = 0) THEN
DELETE FROM inventory
WHERE inventory.locationid = current_locationid
AND inventory.productid = current_productid;
END IF;
IF (current_quantity - quantity_to_remove < 0) THEN
error_msg := 'ERROR: Insufficient quantity in that location';
RAISE_APPLICATION_ERROR (-20602, error_msg);
END IF;
-- If the first SELECT statement above fails to return any
-- records at all, then the NO_DATA_FOUND exception will be
-- signalled. The following code reacts to this exception.
EXCEPTION
WHEN NO_DATA_FOUND THEN
BEGIN
error_msg := 'ERROR: Product ' || current_productid ||
' not found at this location';
RAISE_APPLICATION_ERROR (-20603, error_msg);
END;
END;
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Note:When creating stored procedures in SQL*Plus, you must type a slash character ( / ) on the line after the last END; of the procedure. This lets SQL*Plus know to submit the CREATE PROCEDURE statement to the database.
To see any errors from the compilation of the procedure use the show errors příkaz. To run the stored procedures, use the EXECUTE command followed by the name of the procedure and any parameters. For example, to add 10 units of product P500 to location 106, execute the following:
EXECUTE add_to_inventory(106, 'P500', 10)
To remove 10 units of procedure P500 from location 106, execute the following:
EXECUTE remove_from_inventory(106, 'P500', 10)
As an exercise, try creating a new stored procedure that will transfer a given product from one location to another location.
In this section, we have shown some basic forms of triggers and stored procedures. For additional information and examples on the PL/SQL language, please refer to the Oracle PL/SQL User’s Guide and Reference. In addition you might consider this excellent book on Oracle PL/SQL:Oracle PL/SQL Programming:Covers Versions Through Oracle Database 11g Release 2 (Animal Guide)
You may also be interested in my Blog:So You Want to be a DBA?.
8. Acknowledgements
Please feel free to use these tutorials for your own personal use, education, advancement, training, etc. However, I kindly ask that you respect the time and effort I have put into this work by not distributing copies, either in whole or in part, for your personal gain. You may not under any circumstances download, cache or host copies of these tutorials on your own servers. Use of these tutorials for commercial training requires a special arrangement with the author or authors.