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SQL Tutorial

SQL HOMESQL IntroSQL SyntaxSQL SelectSQL Select DistinctSQL WhereSQL Order BySQL AndSQL OrSQL NotSQL Insert IntoSQL Null ValuesSQL UpdateSQL DeleteSQL Select TopSQL Aggregate FunctionsSQL Min and MaxSQL CountSQL SumSQL AvgSQL LikeSQL WildcardsSQL InSQL BetweenSQL AliasesSQL JoinsSQL Inner JoinSQL Left JoinSQL Right JoinSQL Full JoinSQL Self JoinSQL UnionSQL Union AllSQL Group BySQL HavingSQL ExistsSQL Any, AllSQL Select IntoSQL Insert Into SelectSQL CaseSQL Null FunctionsSQL Stored ProceduresSQL CommentsSQL Operators

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SQL KeywordsMySQL Functions
String Functions:ASCIICHAR_LENGTHCHARACTER_LENGTHCONCATCONCAT_WSFIELDFIND_IN_SETFORMATINSERTINSTRLCASELEFTLENGTHLOCATELOWERLPADLTRIMMIDPOSITIONREPEATREPLACEREVERSERIGHTRPADRTRIMSPACESTRCMPSUBSTRSUBSTRINGSUBSTRING_INDEXTRIMUCASEUPPERNumeric Functions:ABSACOSASINATANATAN2AVGCEILCEILINGCOSCOTCOUNTDEGREESDIVEXPFLOORGREATESTLEASTLNLOGLOG10LOG2MAXMINMODPIPOWPOWERRADIANSRANDROUNDSIGNSINSQRTSUMTANTRUNCATEDate Functions:ADDDATEADDTIMECURDATECURRENT_DATECURRENT_TIMECURRENT_TIMESTAMPCURTIMEDATEDATEDIFFDATE_ADDDATE_FORMATDATE_SUBDAYDAYNAMEDAYOFMONTHDAYOFWEEKDAYOFYEAREXTRACTFROM_DAYSHOURLAST_DAYLOCALTIMELOCALTIMESTAMPMAKEDATEMAKETIMEMICROSECONDMINUTEMONTHMONTHNAMENOWPERIOD_ADDPERIOD_DIFFQUARTERSECONDSEC_TO_TIMESTR_TO_DATESUBDATESUBTIMESYSDATETIMETIME_FORMATTIME_TO_SECTIMEDIFFTIMESTAMPTO_DAYSWEEKWEEKDAYWEEKOFYEARYEARYEARWEEKAdvanced Functions:BINBINARYCASECASTCOALESCECONNECTION_IDCONVCONVERTCURRENT_USERDATABASEIFIFNULLISNULLLAST_INSERT_IDNULLIFSESSION_USERSYSTEM_USERUSERVERSION
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SQLFULL OUTER JOIN Keyword


FULL OUTER JOIN

TheFULL OUTER JOIN command returns all rows when there is a match in either left table or right table.

The following SQL statement selects all customers, and all orders:

SELECT Customers.CustomerName, Orders.OrderID
FROM Customers
FULL OUTER JOIN OrdersON Customers.CustomerID=Orders.CustomerID
ORDER BY Customers.CustomerName;

Note: TheFULL OUTER JOIN keyword returns all the rows from the left table (Customers), and all the rows from the right table (Orders). If there are rows in "Customers" that do not have matches in "Orders", or if there are rows in "Orders" that do not have matches in "Customers", those rows will be listed as well.



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