FROM CLAUSE

The FROM clause is used to indicate the object from which the expressions specified in the SELECT clause are sourced. Like expressions in the SELECT clause, objects specified in the FROM clause vary in complexity. The most straightforward and common object type found in the FROM clause is a pre-existing table. These tables and corresponding attributes are already defined in a database schema, allowing a user to retrieve data from them by simply specifying the required table in the FROM clause. The focus of this page is to illustrate how the FROM clause can be used by walking through a handful of real-world examples where the object type(s) referenced in the FROM clause vary. For those object types requiring a deeper understanding, I’ll provide a high-level description of the object type and a real-world example. For an in-depth exploration and understanding of those object types, I highly recommend reading the corresponding page(s) dedicated to each. Each of the more complex object types referenced on this page affords you some benefit or functionality when solving real-world problems. Understanding how and when to use them will be invaluable to you.

Before reading further, consider reviewing the Example Data section below to familiarize yourself with the data being used throughout the examples on this page. If you are already familiar with the data, then skip to the Pre-existing Tables section.

Example Data
The schemas, corresponding tables, and data used in the example problems can be found at livesql.oracle.com. To more easily follow the examples covered on this page, consider first reading the table descriptions below and reviewing each table’s contents. To review the data maintained in each table, click on the icon next to the table name. To hide the data, click the icon again.

hr.employees
Contains information related to each employee and a hierarchal employee-manager relationship. There is one row per employee.
employee_idfirst_namelast_nameemailphone_numberhire_datejob_idsalarycommission_pctmanager_iddepartment_id
100StevenKingSKING515.123.456717-Jun-03AD_PRES2400090
101NeenaKochharNKOCHHAR515.123.456821-Sep-05AD_VP1700010090
102LexDe HaanLDEHAAN515.123.456913-Jan-01AD_VP1700010090
103AlexanderHunoldAHUNOLD590.423.45673-Jan-06IT_PROG900010260
104BruceErnstBERNST590.423.456821-May-07IT_PROG600010360
105DavidAustinDAUSTIN590.423.456925-Jun-05IT_PROG480010360
106ValliPataballaVPATABAL590.423.45605-Feb-06IT_PROG480010360
107DianaLorentzDLORENTZ590.423.55677-Feb-07IT_PROG420010360
108NancyGreenbergNGREENBE515.124.456917-Aug-02FI_MGR12008101100
109DanielFavietDFAVIET515.124.416916-Aug-02FI_ACCOUNT9000108100
110JohnChenJCHEN515.124.426928-Sep-05FI_ACCOUNT8200108100
111IsmaelSciarraISCIARRA515.124.436930-Sep-05FI_ACCOUNT7700108100
112Jose ManuelUrmanJMURMAN515.124.44697-Mar-06FI_ACCOUNT7800108100
113LuisPoppLPOPP515.124.45677-Dec-07FI_ACCOUNT6900108100
114DenRaphaelyDRAPHEAL515.127.45617-Dec-02PU_MAN1100010030
115AlexanderKhooAKHOO515.127.456218-May-03PU_CLERK310011430
116ShelliBaidaSBAIDA515.127.456324-Dec-05PU_CLERK290011430
117SigalTobiasSTOBIAS515.127.456424-Jul-05PU_CLERK280011430
118GuyHimuroGHIMURO515.127.456515-Nov-06PU_CLERK260011430
119KarenColmenaresKCOLMENA515.127.456610-Aug-07PU_CLERK250011430
120MatthewWeissMWEISS650.123.123418-Jul-04ST_MAN800010050
121AdamFrippAFRIPP650.123.223410-Apr-05ST_MAN820010050
122PayamKauflingPKAUFLIN650.123.32341-May-03ST_MAN790010050
123ShantaVollmanSVOLLMAN650.123.423410-Oct-05ST_MAN650010050
124KevinMourgosKMOURGOS650.123.523416-Nov-07ST_MAN580010050
125JuliaNayerJNAYER650.124.121416-Jul-05ST_CLERK320012050
126IreneMikkilineniIMIKKILI650.124.122428-Sep-06ST_CLERK270012050
127JamesLandryJLANDRY650.124.133414-Jan-07ST_CLERK240012050
128StevenMarkleSMARKLE650.124.14348-Mar-08ST_CLERK220012050
129LauraBissotLBISSOT650.124.523420-Aug-05ST_CLERK330012150
130MozheAtkinsonMATKINSO650.124.623430-Oct-05ST_CLERK280012150
131JamesMarlowJAMRLOW650.124.723416-Feb-05ST_CLERK250012150
132TJOlsonTJOLSON650.124.823410-Apr-07ST_CLERK210012150
133JasonMallinJMALLIN650.127.193414-Jun-04ST_CLERK330012250
134MichaelRogersMROGERS650.127.183426-Aug-06ST_CLERK290012250
135KiGeeKGEE650.127.173412-Dec-07ST_CLERK240012250
136HazelPhiltankerHPHILTAN650.127.16346-Feb-08ST_CLERK220012250
137RenskeLadwigRLADWIG650.121.123414-Jul-03ST_CLERK360012350
138StephenStilesSSTILES650.121.203426-Oct-05ST_CLERK320012350
139JohnSeoJSEO650.121.201912-Feb-06ST_CLERK270012350
140JoshuaPatelJPATEL650.121.18346-Apr-06ST_CLERK250012350
141TrennaRajsTRAJS650.121.800917-Oct-03ST_CLERK350012450
142CurtisDaviesCDAVIES650.121.299429-Jan-05ST_CLERK310012450
143RandallMatosRMATOS650.121.287415-Mar-06ST_CLERK260012450
144PeterVargasPVARGAS650.121.20049-Jul-06ST_CLERK250012450
145JohnRussellJRUSSEL011.44.1344.4292681-Oct-04SA_MAN140000.410080
146KarenPartnersKPARTNER011.44.1344.4672685-Jan-05SA_MAN135000.310080
147AlbertoErrazurizAERRAZUR011.44.1344.42927810-Mar-05SA_MAN120000.310080
148GeraldCambraultGCAMBRAU011.44.1344.61926815-Oct-07SA_MAN110000.310080
149EleniZlotkeyEZLOTKEY011.44.1344.42901829-Jan-08SA_MAN105000.210080
150PeterTuckerPTUCKER011.44.1344.12926830-Jan-05SA_REP100000.314580
151DavidBernsteinDBERNSTE011.44.1344.34526824-Mar-05SA_REP95000.2514580
152PeterHallPHALL011.44.1344.47896820-Aug-05SA_REP90000.2514580
153ChristopherOlsenCOLSEN011.44.1344.49871830-Mar-06SA_REP80000.214580
154NanetteCambraultNCAMBRAU011.44.1344.9876689-Dec-06SA_REP75000.214580
155OliverTuvaultOTUVAULT011.44.1344.48650823-Nov-07SA_REP70000.1514580
156JanetteKingJKING011.44.1345.42926830-Jan-04SA_REP100000.3514680
157PatrickSullyPSULLY011.44.1345.9292684-Mar-04SA_REP95000.3514680
158AllanMcEwenAMCEWEN011.44.1345.8292681-Aug-04SA_REP90000.3514680
159LindseySmithLSMITH011.44.1345.72926810-Mar-05SA_REP80000.314680
160LouiseDoranLDORAN011.44.1345.62926815-Dec-05SA_REP75000.314680
161SarathSewallSSEWALL011.44.1345.5292683-Nov-06SA_REP70000.2514680
162ClaraVishneyCVISHNEY011.44.1346.12926811-Nov-05SA_REP105000.2514780
163DanielleGreeneDGREENE011.44.1346.22926819-Mar-07SA_REP95000.1514780
164MatteaMarvinsMMARVINS011.44.1346.32926824-Jan-08SA_REP72000.114780
165DavidLeeDLEE011.44.1346.52926823-Feb-08SA_REP68000.114780
166SundarAndeSANDE011.44.1346.62926824-Mar-08SA_REP64000.114780
167AmitBandaABANDA011.44.1346.72926821-Apr-08SA_REP62000.114780
168LisaOzerLOZER011.44.1343.92926811-Mar-05SA_REP115000.2514880
169HarrisonBloomHBLOOM011.44.1343.82926823-Mar-06SA_REP100000.214880
170TaylerFoxTFOX011.44.1343.72926824-Jan-06SA_REP96000.214880
171WilliamSmithWSMITH011.44.1343.62926823-Feb-07SA_REP74000.1514880
172ElizabethBatesEBATES011.44.1343.52926824-Mar-07SA_REP73000.1514880
173SunditaKumarSKUMAR011.44.1343.32926821-Apr-08SA_REP61000.114880
174EllenAbelEABEL011.44.1644.42926711-May-04SA_REP110000.314980
175AlyssaHuttonAHUTTON011.44.1644.42926619-Mar-05SA_REP88000.2514980
176JonathonTaylorJTAYLOR011.44.1644.42926524-Mar-06SA_REP86000.214980
177JackLivingstonJLIVINGS011.44.1644.42926423-Apr-06SA_REP84000.214980
178KimberelyGrantKGRANT011.44.1644.42926324-May-07SA_REP70000.15149
179CharlesJohnsonCJOHNSON011.44.1644.4292624-Jan-08SA_REP62000.114980
180WinstonTaylorWTAYLOR650.507.987624-Jan-06SH_CLERK320012050
181JeanFleaurJFLEAUR650.507.987723-Feb-06SH_CLERK310012050
182MarthaSullivanMSULLIVA650.507.987821-Jun-07SH_CLERK250012050
183GirardGeoniGGEONI650.507.98793-Feb-08SH_CLERK280012050
184NanditaSarchandNSARCHAN650.509.187627-Jan-04SH_CLERK420012150
185AlexisBullABULL650.509.287620-Feb-05SH_CLERK410012150
186JuliaDellingerJDELLING650.509.387624-Jun-06SH_CLERK340012150
187AnthonyCabrioACABRIO650.509.48767-Feb-07SH_CLERK300012150
188KellyChungKCHUNG650.505.187614-Jun-05SH_CLERK380012250
189JenniferDillyJDILLY650.505.287613-Aug-05SH_CLERK360012250
190TimothyGatesTGATES650.505.387611-Jul-06SH_CLERK290012250
191RandallPerkinsRPERKINS650.505.487619-Dec-07SH_CLERK250012250
192SarahBellSBELL650.501.18764-Feb-04SH_CLERK400012350
193BritneyEverettBEVERETT650.501.28763-Mar-05SH_CLERK390012350
194SamuelMcCainSMCCAIN650.501.38761-Jul-06SH_CLERK320012350
195VanceJonesVJONES650.501.487617-Mar-07SH_CLERK280012350
196AlanaWalshAWALSH650.507.981124-Apr-06SH_CLERK310012450
197KevinFeeneyKFEENEY650.507.982223-May-06SH_CLERK300012450
198DonaldOConnellDOCONNEL650.507.983321-Jun-07SH_CLERK260012450
199DouglasGrantDGRANT650.507.984413-Jan-08SH_CLERK260012450
200JenniferWhalenJWHALEN515.123.444417-Sep-03AD_ASST440010110
201MichaelHartsteinMHARTSTE515.123.555517-Feb-04MK_MAN1300010020
202PatFayPFAY603.123.666617-Aug-05MK_REP600020120
203SusanMavrisSMAVRIS515.123.77777-Jun-02HR_REP650010140
204HermannBaerHBAER515.123.88887-Jun-02PR_REP1000010170
205ShelleyHigginsSHIGGINS515.123.80807-Jun-02AC_MGR12008101110
206WilliamGietzWGIETZ515.123.81817-Jun-02AC_ACCOUNT8300205110
oe.customers
Contains information related to each customer. A customer may or may not have placed an order. Therefore, it’s possible for a customer to exist and not be represented in the orders table. There is one row per customer.
customer_idcust_first_namecust_last_namenls_territorycredit_limitcust_emailaccount_mgr_iddate_of_birthmarital_statusgenderincome_level
144SivajiLandisAMERICA500Sivaji.Landis@GOLDENEYE.EXAMPLE.COM1459-Feb-70marriedMF: 110,000 – 129,999
145MammuttiPacinoAMERICA500Mammutti.Pacino@GREBE.EXAMPLE.COM14519-Feb-46singleMF: 110,000 – 129,999
146EliaFawcettAMERICA500Elia.Fawcett@JACANA.EXAMPLE.COM14512-Mar-63marriedFL: 300,000 and above
147IshwaryaRobertsAMERICA600Ishwarya.Roberts@LAPWING.EXAMPLE.COM14521-Mar-44singleFG: 130,000 – 149,999
148GustavSteenburgenAMERICA600Gustav.Steenburgen@PINTAIL.EXAMPLE.COM14510-Apr-50marriedMF: 110,000 – 129,999
149MarkusRamplingAMERICA600Markus.Rampling@PUFFIN.EXAMPLE.COM14520-Apr-41singleMD: 70,000 – 89,999
150GoldieSlaterAMERICA700Goldie.Slater@PYRRHULOXIA.EXAMPLE.COM14511-May-51marriedMD: 70,000 – 89,999
151DivineAykroydAMERICA700Divine.Aykroyd@REDSTART.EXAMPLE.COM14520-May-76singleMF: 110,000 – 129,999
152DieterMatthauAMERICA700Dieter.Matthau@VERDIN.EXAMPLE.COM1459-Jun-22marriedMA: Below 30,000
153DivineSheenAMERICA700Divine.Sheen@COWBIRD.EXAMPLE.COM14520-Jun-67singleMI: 170,000 – 189,999
154FredericGrodinAMERICA700Frederic.Grodin@CREEPER.EXAMPLE.COM14529-Jun-65singleFL: 300,000 and above
155FredericoRomeroAMERICA700Frederico.Romero@CURLEW.EXAMPLE.COM1459-Jul-42marriedME: 90,000 – 109,999
156GoldieMontandAMERICA700Goldie.Montand@DIPPER.EXAMPLE.COM1459-Aug-55marriedFF: 110,000 – 129,999
157SidneyCapshawAMERICA700Sidney.Capshaw@DUNLIN.EXAMPLE.COM14518-Aug-69singleMG: 130,000 – 149,999
158FredericoLyonAMERICA700Frederico.Lyon@FLICKER.EXAMPLE.COM1457-Sep-70marriedMJ: 190,000 – 249,999
159EddieBoyerAMERICA700Eddie.Boyer@GALLINULE.EXAMPLE.COM1457-Oct-53marriedMG: 130,000 – 149,999
160EddieSternAMERICA700Eddie.Stern@GODWIT.EXAMPLE.COM1456-Nov-50marriedMG: 130,000 – 149,999
161ErnestWeaverAMERICA900Ernest.Weaver@GROSBEAK.EXAMPLE.COM14516-Nov-42singleMB: 30,000 – 49,999
162ErnestGeorgeAMERICA900Ernest.George@LAPWING.EXAMPLE.COM1457-Dec-75marriedMD: 70,000 – 89,999
164CharlotteKazanAMERICA1200Charlotte.Kazan@MERGANSER.EXAMPLE.COM1455-Jan-54marriedMI: 170,000 – 189,999
165CharlotteFondaAMERICA1200Charlotte.Fonda@MOORHEN.EXAMPLE.COM1455-Feb-56marriedMJ: 190,000 – 249,999
166DheerajAlexanderAMERICA1200Dheeraj.Alexander@NUTHATCH.EXAMPLE.COM14514-Feb-50singleFG: 130,000 – 149,999
167GerardHersheyAMERICA1200Gerard.Hershey@PARULA.EXAMPLE.COM1456-Mar-48marriedMD: 70,000 – 89,999
169DheerajDavisAMERICA1200Dheeraj.Davis@PIPIT.EXAMPLE.COM1455-Apr-81marriedFF: 110,000 – 129,999
170Harry DeanFondaAMERICA1200HarryDean.Fonda@PLOVER.EXAMPLE.COM14515-Apr-88singleMG: 130,000 – 149,999
171HemaPowellAMERICA1200Hema.Powell@SANDERLING.EXAMPLE.COM1455-May-53marriedMD: 70,000 – 89,999
172Harry MeanPeckinpahAMERICA1200HarryMean.Peckinpah@VERDIN.EXAMPLE.COM14515-May-59singleMI: 170,000 – 189,999
174BlakeSeignierAMERICA1200Blake.Seignier@GALLINULE.EXAMPLE.COM14914-Jun-88singleMH: 150,000 – 169,999
175ClaudePowellAMERICA1200Claude.Powell@GODWIT.EXAMPLE.COM1494-Jul-46marriedMF: 110,000 – 129,999
176FayeGlennAMERICA1200Faye.Glenn@GREBE.EXAMPLE.COM14914-Jul-47singleFB: 30,000 – 49,999
177GerhardSeignierAMERICA1200Gerhard.Seignier@JACANA.EXAMPLE.COM1493-Aug-78marriedME: 90,000 – 109,999
179Harry deanForrestAMERICA1200Harrydean.Forrest@KISKADEE.EXAMPLE.COM14912-Sep-74singleMG: 130,000 – 149,999
180Harry deanCageAMERICA1200Harrydean.Cage@LAPWING.EXAMPLE.COM1492-Oct-75marriedFF: 110,000 – 129,999
181LaurenHersheyAMERICA1200Lauren.Hershey@LIMPKIN.EXAMPLE.COM14912-Oct-65singleFH: 150,000 – 169,999
183LaurenAltmanAMERICA1200Lauren.Altman@MERGANSER.EXAMPLE.COM1491-Nov-68marriedFC: 50,000 – 69,999
184Mary BethRobertsAMERICA1200MaryBeth.Roberts@NUTHATCH.EXAMPLE.COM14911-Nov-27singleMA: Below 30,000
262FredReynoldsAMERICA3600Fred.Reynolds@WATERTHRUSH.EXAMPLE.COM14913-Jul-58marriedMF: 110,000 – 129,999
263FredLithgowAMERICA3600Fred.Lithgow@WHIMBREL.EXAMPLE.COM14923-Jul-79singleMD: 70,000 – 89,999
265IreneLaughtonAMERICA3600Irene.Laughton@ANHINGA.EXAMPLE.COM14922-Aug-73singleFJ: 190,000 – 249,999
266PremCardinaleAMERICA3700Prem.Cardinale@BITTERN.EXAMPLE.COM1491-Sep-70singleML: 300,000 and above
267PremWalkenAMERICA3700Prem.Walken@BRANT.EXAMPLE.COM14511-Sep-53marriedFG: 130,000 – 149,999
268KyleSchneiderAMERICA3700Kyle.Schneider@DUNLIN.EXAMPLE.COM14521-Sep-52singleFG: 130,000 – 149,999
270MegDerekAMERICA3700Meg.Derek@FLICKER.EXAMPLE.COM14510-Nov-71marriedMF: 110,000 – 129,999
271ShelleyPeckinpahAMERICA3700Shelley.Peckinpah@GODWIT.EXAMPLE.COM14520-Nov-87singleFD: 70,000 – 89,999
272PremGarciaAMERICA3700Prem.Garcia@JACANA.EXAMPLE.COM14510-Dec-60marriedMI: 170,000 – 189,999
274BobMcCarthyAMERICA5000Bob.McCarthy@ANI.EXAMPLE.COM14919-Jan-46singleMA: Below 30,000
275DomMcQueenAMERICA5000Dom.McQueen@AUKLET.EXAMPLE.COM1498-Feb-84marriedFG: 130,000 – 149,999
276DomHoskinsAMERICA5000Dom.Hoskins@AVOCET.EXAMPLE.COM14910-Mar-51marriedME: 90,000 – 109,999
101ConstantinWellesAMERICA100Constantin.Welles@ANHINGA.EXAMPLE.COM14520-Feb-72marriedMB: 30,000 – 49,999
102HarrisonPacinoAMERICA100Harrison.Pacino@ANI.EXAMPLE.COM1452-Mar-53singleMI: 170,000 – 189,999
103ManishaTaylorAMERICA100Manisha.Taylor@AUKLET.EXAMPLE.COM14522-Mar-83marriedFH: 150,000 – 169,999
104HarrisonSutherlandAMERICA100Harrison.Sutherland@GODWIT.EXAMPLE.COM14531-Mar-72singleFH: 150,000 – 169,999
105MatthiasMacGrawAMERICA100Matthias.MacGraw@GOLDENEYE.EXAMPLE.COM14521-Apr-69marriedFC: 50,000 – 69,999
106MatthiasHannahAMERICA100Matthias.Hannah@GREBE.EXAMPLE.COM14530-Apr-60singleMF: 110,000 – 129,999
107MatthiasCruiseAMERICA100Matthias.Cruise@GROSBEAK.EXAMPLE.COM14521-May-69marriedFG: 130,000 – 149,999
108MeenakshiMasonAMERICA100Meenakshi.Mason@JACANA.EXAMPLE.COM14520-Jun-57marriedMH: 150,000 – 169,999
109ChristianCageAMERICA100Christian.Cage@KINGLET.EXAMPLE.COM14530-Jun-38singleMF: 110,000 – 129,999
110CharlieSutherlandAMERICA200Charlie.Sutherland@LIMPKIN.EXAMPLE.COM14520-Jul-51marriedMG: 130,000 – 149,999
111CharliePacinoAMERICA200Charlie.Pacino@LONGSPUR.EXAMPLE.COM14529-Jul-48singleMG: 130,000 – 149,999
112GuillaumeJacksonAMERICA200Guillaume.Jackson@MOORHEN.EXAMPLE.COM14519-Aug-54marriedMI: 170,000 – 189,999
113DanielCostnerAMERICA200Daniel.Costner@PARULA.EXAMPLE.COM14529-Aug-77singleMI: 170,000 – 189,999
114DianneDerekAMERICA200Dianne.Derek@SAW-WHET.EXAMPLE.COM14517-Sep-48marriedMH: 150,000 – 169,999
115GeraldineSchneiderAMERICA200Geraldine.Schneider@SCAUP.EXAMPLE.COM14518-Oct-31marriedMB: 30,000 – 49,999
116GeraldineMartinAMERICA200Geraldine.Martin@SCOTER.EXAMPLE.COM14528-Oct-27singleMA: Below 30,000
117GuillaumeEdwardsAMERICA200Guillaume.Edwards@SHRIKE.EXAMPLE.COM14516-Nov-52marriedME: 90,000 – 109,999
118MauriceMahoneyAMERICA200Maurice.Mahoney@SNIPE.EXAMPLE.COM14527-Nov-66singleMF: 110,000 – 129,999
119MauriceHasanAMERICA200Maurice.Hasan@STILT.EXAMPLE.COM14517-Dec-65marriedMG: 130,000 – 149,999
120DianeHigginsAMERICA200Diane.Higgins@TANAGER.EXAMPLE.COM14526-Dec-84singleMH: 150,000 – 169,999
121DianneSenAMERICA200Dianne.Sen@TATTLER.EXAMPLE.COM14515-Jan-53marriedMH: 150,000 – 169,999
122MauriceDaltreyAMERICA200Maurice.Daltrey@TEAL.EXAMPLE.COM14515-Feb-43marriedMA: Below 30,000
185MatthewWrightAMERICA1200Matthew.Wright@OVENBIRD.EXAMPLE.COM1491-Dec-59marriedFG: 130,000 – 149,999
186MeenaAlexanderAMERICA1200Meena.Alexander@PARULA.EXAMPLE.COM14911-Dec-61singleFK: 250,000 – 299,999
188CharlotteBuckleyAMERICA1200Charlotte.Buckley@PINTAIL.EXAMPLE.COM14910-Jan-49singleFF: 110,000 – 129,999
277DonSiegelAMERICA5000Don.Siegel@BITTERN.EXAMPLE.COM14920-Mar-50singleMB: 30,000 – 49,999
278GvtzBradfordAMERICA5000Gvtz.Bradford@BULBUL.EXAMPLE.COM1498-Apr-64marriedMK: 250,000 – 299,999
279HollyKurosawaAMERICA5000Holly.Kurosawa@CARACARA.EXAMPLE.COM14919-Apr-61singleMI: 170,000 – 189,999
280RobMacLaineAMERICA5000Rob.MacLaine@COOT.EXAMPLE.COM1499-May-49marriedMB: 30,000 – 49,999
281DonBarkinAMERICA5000Don.Barkin@CORMORANT.EXAMPLE.COM14918-May-56singleMI: 170,000 – 189,999
282KurtDansonAMERICA5000Kurt.Danson@COWBIRD.EXAMPLE.COM1457-Jun-88marriedMH: 150,000 – 169,999
283KurtHeardAMERICA5000Kurt.Heard@CURLEW.EXAMPLE.COM14518-Jun-94singleMH: 150,000 – 169,999
308GlendaDunawayCHINA1200Glenda.Dunaway@DOWITCHER.EXAMPLE.COM1488-Jul-57marriedMC: 50,000 – 69,999
309GlendaBatesCHINA1200Glenda.Bates@DIPPER.EXAMPLE.COM14818-Jul-55singleMF: 110,000 – 129,999
323GoetzFalkINDIA5000Goetz.Falk@VEERY.EXAMPLE.COM1486-Aug-80marriedFG: 130,000 – 149,999
326HalOlinGERMANY2400Hal.Olin@FLICKER.EXAMPLE.COM1476-Sep-59marriedFH: 150,000 – 169,999
327HannahKanthGERMANY2400Hannah.Kanth@GADWALL.EXAMPLE.COM14715-Sep-56singleMF: 110,000 – 129,999
328HannahFieldGERMANY2400Hannah.Field@GALLINULE.EXAMPLE.COM1476-Oct-85marriedFG: 130,000 – 149,999
333MargretPowellITALY1200Margret.Powell@ANI.EXAMPLE.COM14716-Oct-53singleMG: 130,000 – 149,999
334Harry MeanTaylorAMERICA1200HarryMean.Taylor@REDPOLL.EXAMPLE.COM14715-Nov-81singleMI: 170,000 – 189,999
335MargritGarnerITALY500Margrit.Garner@STILT.EXAMPLE.COM1475-Dec-82marriedFH: 150,000 – 169,999
337MariaWardenITALY500Maria.Warden@TANAGER.EXAMPLE.COM1473-Jan-73marriedFB: 30,000 – 49,999
361MarilouChapmanITALY500Marilou.Chapman@TEAL.EXAMPLE.COM14711-Aug-89singleFD: 70,000 – 89,999
363KathyLambertITALY2400Kathy.Lambert@COOT.EXAMPLE.COM14731-Aug-56marriedMC: 50,000 – 69,999
360HelmutCapshawCHINA3600Helmut.Capshaw@TROGON.EXAMPLE.COM1481-Aug-77marriedMJ: 190,000 – 249,999
341KeirGeorgeITALY700Keir.George@VIREO.EXAMPLE.COM1473-Feb-63marriedFE: 90,000 – 109,999
342MarlonLaughtonITALY2400Marlon.Laughton@CORMORANT.EXAMPLE.COM14713-Feb-47singleFF: 110,000 – 129,999
343KeirChandarITALY700Keir.Chandar@WATERTHRUSH.EXAMPLE.COM1474-Mar-60marriedMG: 130,000 – 149,999
345KeirWeaverITALY700Keir.Weaver@WHIMBREL.EXAMPLE.COM1474-Apr-62marriedMH: 150,000 – 169,999
346MarlonClaptonITALY2400Marlon.Clapton@COWBIRD.EXAMPLE.COM14713-Apr-88marriedMK: 250,000 – 299,999
347KellyQuinlanITALY3600Kelly.Quinlan@PYRRHULOXIA.EXAMPLE.COM1473-May-29marriedFA: Below 30,000
349KenGlennITALY3600Ken.Glenn@SAW-WHET.EXAMPLE.COM1473-Jun-67marriedMK: 250,000 – 299,999
350KenChopraITALY3600Ken.Chopra@SCAUP.EXAMPLE.COM14713-Jun-51singleFF: 110,000 – 129,999
351KenWendersITALY3600Ken.Wenders@REDPOLL.EXAMPLE.COM1473-Jul-62marriedFF: 110,000 – 129,999
380MerylHoldenINDIA3700Meryl.Holden@DIPPER.EXAMPLE.COM14810-Oct-61singleFH: 150,000 – 169,999
447RichardCoppolaITALY500Richard.Coppola@SISKIN.EXAMPLE.COM14730-Oct-81marriedFC: 50,000 – 69,999
448RichardWintersITALY500Richard.Winters@SNIPE.EXAMPLE.COM14730-Nov-54marriedMF: 110,000 – 129,999
450RickLyonITALY1500Rick.Lyon@MERGANSER.EXAMPLE.COM1471-Jan-41marriedFF: 110,000 – 129,999
451RidleyHackmanITALY700Ridley.Hackman@ANHINGA.EXAMPLE.COM14711-Jan-50singleFH: 150,000 – 169,999
452RidleyCoyoteITALY700Ridley.Coyote@ANI.EXAMPLE.COM14731-Jan-49marriedMF: 110,000 – 129,999
454RobRussellINDIA5000Rob.Russell@VERDIN.EXAMPLE.COM1482-Mar-77marriedME: 90,000 – 109,999
458Robertde NiroINDIA3700Robert.deNiro@DOWITCHER.EXAMPLE.COM14812-Mar-86singleFH: 150,000 – 169,999
466RodolfoHersheyINDIA5000Rodolfo.Hershey@VIREO.EXAMPLE.COM14811-Apr-47singleMF: 110,000 – 129,999
467RodolfoDenchINDIA5000Rodolfo.Dench@SCOTER.EXAMPLE.COM1481-May-71marriedFF: 110,000 – 129,999
468RodolfoAltmanINDIA5000Rodolfo.Altman@SHRIKE.EXAMPLE.COM14811-May-83singleFF: 110,000 – 129,999
189GenaHarrisAMERICA1200Gena.Harris@PIPIT.EXAMPLE.COM14930-Jan-55marriedMF: 110,000 – 129,999
190GenaCurtisAMERICA1200Gena.Curtis@PLOVER.EXAMPLE.COM1499-Feb-82singleMJ: 190,000 – 249,999
191MaureenSandersAMERICA1200Maureen.Sanders@PUFFIN.EXAMPLE.COM14929-Feb-24marriedMA: Below 30,000
192SeanStockwellAMERICA1200Sean.Stockwell@PYRRHULOXIA.EXAMPLE.COM14930-Mar-56marriedMI: 170,000 – 189,999
193Harry deanKinskiAMERICA1200Harrydean.Kinski@REDPOLL.EXAMPLE.COM14930-Apr-55marriedMD: 70,000 – 89,999
194KathleenGarciaAMERICA1200Kathleen.Garcia@REDSTART.EXAMPLE.COM14930-May-71marriedFI: 170,000 – 189,999
195SeanOlinAMERICA1200Sean.Olin@SCAUP.EXAMPLE.COM1499-Jun-86singleFF: 110,000 – 129,999
196GerardDenchAMERICA1200Gerard.Dench@SCOTER.EXAMPLE.COM14929-Jun-53marriedFE: 90,000 – 109,999
197GerardAltmanAMERICA1200Gerard.Altman@SHRIKE.EXAMPLE.COM1498-Jul-84singleFF: 110,000 – 129,999
198Maureende FunesAMERICA1200Maureen.deFunes@SISKIN.EXAMPLE.COM14929-Jul-49marriedFD: 70,000 – 89,999
199ClintChapmanAMERICA1400Clint.Chapman@SNIPE.EXAMPLE.COM1497-Aug-52singleFF: 110,000 – 129,999
200ClintGielgudAMERICA1400Clint.Gielgud@STILT.EXAMPLE.COM14928-Aug-78marriedFE: 90,000 – 109,999
201EricPrashantAMERICA1400Eric.Prashant@TATTLER.EXAMPLE.COM14927-Sep-43marriedFC: 50,000 – 69,999
202IngridWellesAMERICA1400Ingrid.Welles@TEAL.EXAMPLE.COM14927-Oct-39marriedMD: 70,000 – 89,999
203IngridRamplingAMERICA1400Ingrid.Rampling@WIGEON.EXAMPLE.COM1495-Nov-48singleMF: 110,000 – 129,999
204CliffPuriAMERICA1400Cliff.Puri@CORMORANT.EXAMPLE.COM14926-Nov-61marriedMJ: 190,000 – 249,999
205EmilyPollackAMERICA1400Emily.Pollack@DIPPER.EXAMPLE.COM1496-Dec-55singleML: 300,000 and above
206FritzHackmanAMERICA1400Fritz.Hackman@DUNLIN.EXAMPLE.COM14926-Dec-83marriedFG: 130,000 – 149,999
207CybillLaughtonAMERICA1400Cybill.Laughton@EIDER.EXAMPLE.COM1494-Jan-89singleMF: 110,000 – 129,999
208CyndiGriemAMERICA1400Cyndi.Griem@GALLINULE.EXAMPLE.COM14925-Jan-56marriedME: 90,000 – 109,999
209CyndiCollinsAMERICA1400Cyndi.Collins@GODWIT.EXAMPLE.COM1494-Feb-46singleMD: 70,000 – 89,999
210CybillClaptonAMERICA1400Cybill.Clapton@GOLDENEYE.EXAMPLE.COM14924-Feb-74marriedFD: 70,000 – 89,999
211LuchinoJordanAMERICA1500Luchino.Jordan@GREBE.EXAMPLE.COM1496-Mar-83singleFA: Below 30,000
213LuchinoBradfordAMERICA1500Luchino.Bradford@PARULA.EXAMPLE.COM14924-Apr-76marriedMA: Below 30,000
214RobinDansonAMERICA1500Robin.Danson@PHAINOPEPLA.EXAMPLE.COM1495-May-46singleMF: 110,000 – 129,999
215OrsonPerkinsAMERICA1900Orson.Perkins@PINTAIL.EXAMPLE.COM14924-May-85marriedME: 90,000 – 109,999
216OrsonKoiralaAMERICA1900Orson.Koirala@PIPIT.EXAMPLE.COM1494-Jun-79singleFJ: 190,000 – 249,999
218BryanDvrrieAMERICA2300Bryan.Dvrrie@REDPOLL.EXAMPLE.COM1494-Jul-66singleFG: 130,000 – 149,999
219AjaySenAMERICA2300Ajay.Sen@TROGON.EXAMPLE.COM14913-Jul-77singleMK: 250,000 – 299,999
220CarolJordanAMERICA2300Carol.Jordan@TURNSTONE.EXAMPLE.COM14923-Jul-76marriedMI: 170,000 – 189,999
221CarolBradfordAMERICA2300Carol.Bradford@VERDIN.EXAMPLE.COM1492-Aug-53singleMG: 130,000 – 149,999
223CaryOlinAMERICA2300Cary.Olin@WATERTHRUSH.EXAMPLE.COM1492-Sep-35singleMD: 70,000 – 89,999
224ClaraKrigeAMERICA2300Clara.Krige@WHIMBREL.EXAMPLE.COM14922-Sep-59marriedMH: 150,000 – 169,999
225ClaraGanesanAMERICA2300Clara.Ganesan@WIGEON.EXAMPLE.COM1492-Oct-59singleFI: 170,000 – 189,999
227KathyPrashantAMERICA2400Kathy.Prashant@ANI.EXAMPLE.COM1491-Nov-83singleMJ: 190,000 – 249,999
228GrahamNeesonAMERICA2400Graham.Neeson@AUKLET.EXAMPLE.COM14920-Nov-41marriedME: 90,000 – 109,999
229IanChapmanAMERICA2400Ian.Chapman@AVOCET.EXAMPLE.COM14930-Nov-65singleMD: 70,000 – 89,999
230DannyWrightAMERICA2400Danny.Wright@BITTERN.EXAMPLE.COM14920-Dec-48marriedMF: 110,000 – 129,999
232DonaldHunterAMERICA2400Donald.Hunter@CHACHALACA.EXAMPLE.COM14520-Jan-60marriedMG: 130,000 – 149,999
233GrahamSpielbergAMERICA2400Graham.Spielberg@CHUKAR.EXAMPLE.COM14529-Jan-70singleMD: 70,000 – 89,999
234DanRobertsAMERICA2400Dan.Roberts@NUTHATCH.EXAMPLE.COM14518-Feb-73marriedMI: 170,000 – 189,999
235EdwardOatesAMERICA2400Edward.Oates@OVENBIRD.EXAMPLE.COM14521-Mar-55marriedME: 90,000 – 109,999
236EdwardJuliusAMERICA2400Edward.Julius@PARULA.EXAMPLE.COM14530-Mar-86singleMF: 110,000 – 129,999
237FarrahQuinlanAMERICA2400Farrah.Quinlan@PHAINOPEPLA.EXAMPLE.COM14519-Apr-48marriedMA: Below 30,000
238FarrahLangeAMERICA2400Farrah.Lange@PHALAROPE.EXAMPLE.COM14519-May-81marriedMF: 110,000 – 129,999
239HalStockwellAMERICA2400Hal.Stockwell@PHOEBE.EXAMPLE.COM14529-May-66singleMH: 150,000 – 169,999
240MalcolmKanthAMERICA2400Malcolm.Kanth@PIPIT.EXAMPLE.COM14519-Jun-55marriedFH: 150,000 – 169,999
241MalcolmBroderickAMERICA2400Malcolm.Broderick@PLOVER.EXAMPLE.COM14528-Jun-52singleMF: 110,000 – 129,999
242MaryLemmonAMERICA2400Mary.Lemmon@PUFFIN.EXAMPLE.COM14518-Jul-62marriedMK: 250,000 – 299,999
243MaryCollinsAMERICA2400Mary.Collins@PYRRHULOXIA.EXAMPLE.COM14518-Aug-55marriedFF: 110,000 – 129,999
244MattGueneyAMERICA2400Matt.Gueney@REDPOLL.EXAMPLE.COM14527-Aug-52singleMG: 130,000 – 149,999
245Maxvon SydowAMERICA2400Max.vonSydow@REDSTART.EXAMPLE.COM1457-Sep-67singleMK: 250,000 – 299,999
246MaxSchellAMERICA2400Max.Schell@SANDERLING.EXAMPLE.COM14516-Sep-84marriedMF: 110,000 – 129,999
247CyndaWhitcraftAMERICA2400Cynda.Whitcraft@SANDPIPER.EXAMPLE.COM14516-Oct-54marriedMB: 30,000 – 49,999
248DonaldMinnelliAMERICA2400Donald.Minnelli@SCAUP.EXAMPLE.COM14526-Oct-53singleMF: 110,000 – 129,999
249HannahBroderickAMERICA2400Hannah.Broderick@SHRIKE.EXAMPLE.COM14516-Nov-75marriedMD: 70,000 – 89,999
250DanWilliamsAMERICA2400Dan.Williams@SISKIN.EXAMPLE.COM14525-Nov-84singleMA: Below 30,000
251RaulWilderAMERICA2500Raul.Wilder@STILT.EXAMPLE.COM14515-Dec-45marriedME: 90,000 – 109,999
252Shah RukhFieldAMERICA2500ShahRukh.Field@WHIMBREL.EXAMPLE.COM14525-Dec-57singleMI: 170,000 – 189,999
253SallyBogartAMERICA2500Sally.Bogart@WILLET.EXAMPLE.COM14514-Jan-85marriedMH: 150,000 – 169,999
254BruceBatesAMERICA3500Bruce.Bates@COWBIRD.EXAMPLE.COM14525-Jan-40singleMD: 70,000 – 89,999
256Bende NiroAMERICA3500Ben.deNiro@KINGLET.EXAMPLE.COM14524-Feb-80singleMI: 170,000 – 189,999
257EmmetWalkenAMERICA3600Emmet.Walken@LIMPKIN.EXAMPLE.COM14515-Mar-75marriedMB: 30,000 – 49,999
258EllenPalinAMERICA3600Ellen.Palin@LONGSPUR.EXAMPLE.COM14514-Apr-77marriedMH: 150,000 – 169,999
259Denholmvon SydowAMERICA3600Denholm.vonSydow@MERGANSER.EXAMPLE.COM14524-Apr-43singleFD: 70,000 – 89,999
261EmmetGarciaAMERICA3600Emmet.Garcia@VIREO.EXAMPLE.COM14913-Jun-61marriedMH: 150,000 – 169,999
124DianeMasonAMERICA200Diane.Mason@TROGON.EXAMPLE.COM14516-Mar-81marriedFK: 250,000 – 299,999
125DianneAndrewsAMERICA200Dianne.Andrews@TURNSTONE.EXAMPLE.COM14527-Mar-59singleFF: 110,000 – 129,999
126CharlesFieldAMERICA300Charles.Field@BECARD.EXAMPLE.COM14516-Apr-46marriedFF: 110,000 – 129,999
128IsabellaReedAMERICA300Isabella.Reed@BRANT.EXAMPLE.COM14516-May-54marriedFJ: 190,000 – 249,999
129LouisJacksonAMERICA400Louis.Jackson@CARACARA.EXAMPLE.COM14526-May-39singleMD: 70,000 – 89,999
130LouisEdwardsAMERICA400Louis.Edwards@CHACHALACA.EXAMPLE.COM14514-Jun-44marriedMC: 50,000 – 69,999
131DorisDuttAMERICA400Doris.Dutt@CHUKAR.EXAMPLE.COM14514-Jul-76marriedFC: 50,000 – 69,999
133KristinMaldenAMERICA400Kristin.Malden@GODWIT.EXAMPLE.COM14514-Aug-50marriedFC: 50,000 – 69,999
134SissyPuriAMERICA400Sissy.Puri@GREBE.EXAMPLE.COM14512-Sep-72marriedFF: 110,000 – 129,999
135DorisBel GeddesAMERICA400Doris.BelGeddes@GROSBEAK.EXAMPLE.COM14522-Sep-80singleFB: 30,000 – 49,999
136SissyWardenAMERICA400Sissy.Warden@JACANA.EXAMPLE.COM14512-Oct-44marriedFF: 110,000 – 129,999
138ManiFondaAMERICA500Mani.Fonda@KINGLET.EXAMPLE.COM14511-Nov-77marriedMF: 110,000 – 129,999
139PlacidoKubrickAMERICA500Placido.Kubrick@SCOTER.EXAMPLE.COM14522-Nov-42singleMF: 110,000 – 129,999
140ClaudiaKurosawaAMERICA500Claudia.Kurosawa@CHUKAR.EXAMPLE.COM14511-Dec-81marriedME: 90,000 – 109,999
141MaximilianHennerAMERICA500Maximilian.Henner@DUNLIN.EXAMPLE.COM14521-Dec-73singleMH: 150,000 – 169,999
143SachinNeesonAMERICA500Sachin.Neeson@GALLINULE.EXAMPLE.COM14520-Jan-62singleMF: 110,000 – 129,999
767Klaus MariaRussellITALY100KlausMaria.Russell@COOT.EXAMPLE.COM14720-Jan-70marriedMC: 50,000 – 69,999
771Krisde NiroITALY400Kris.deNiro@DUNLIN.EXAMPLE.COM14721-Mar-77marriedME: 90,000 – 109,999
826AlainBarkinSWITZERLAND500Alain.Barkin@VERDIN.EXAMPLE.COM14720-May-69marriedMA: Below 30,000
830AlbertDuttSWITZERLAND3500Albert.Dutt@CURLEW.EXAMPLE.COM14729-Aug-47singleMF: 110,000 – 129,999
850AmandaFinneySWITZERLAND2300Amanda.Finney@STILT.EXAMPLE.COM14723-Aug-91singleMJ: 190,000 – 249,999
905BillyHersheyINDIA1400Billy.Hershey@BULBUL.EXAMPLE.COM14822-Oct-87singleFG: 130,000 – 149,999
911BoDickinsonINDIA5000Bo.Dickinson@TANAGER.EXAMPLE.COM14811-Dec-81marriedMH: 150,000 – 169,999
919BrookeMichalkowINDIA3500Brooke.Michalkow@GROSBEAK.EXAMPLE.COM14819-Feb-62singleMD: 70,000 – 89,999
924BrunoMontandINDIA5000Bruno.Montand@TOWHEE.EXAMPLE.COM14820-Apr-34singleFD: 70,000 – 89,999
930BusterJacksonINDIA900Buster.Jackson@KILLDEER.EXAMPLE.COM1488-Jul-24marriedMA: Below 30,000
980DanielLorenINDIA200Daniel.Loren@REDSTART.EXAMPLE.COM14817-Sep-70singleMF: 110,000 – 129,999
473RolfAshbyINDIA5000Rolf.Ashby@WATERTHRUSH.EXAMPLE.COM14810-Jun-49singleMG: 130,000 – 149,999
474RomySharifINDIA5000Romy.Sharif@SNIPE.EXAMPLE.COM14829-Jun-76marriedMF: 110,000 – 129,999
475RomyMcCarthyINDIA5000Romy.McCarthy@STILT.EXAMPLE.COM14810-Jul-33singleFD: 70,000 – 89,999
476RosanneHopkinsINDIA300Rosanne.Hopkins@ANI.EXAMPLE.COM14830-Jul-79marriedMD: 70,000 – 89,999
477RosanneDouglasINDIA300Rosanne.Douglas@ANHINGA.EXAMPLE.COM1489-Aug-70singleFF: 110,000 – 129,999
478RosanneBaldwinINDIA300Rosanne.Baldwin@AUKLET.EXAMPLE.COM14829-Aug-67marriedFA: Below 30,000
479RoxanneShepherdINDIA1200Roxanne.Shepherd@DUNLIN.EXAMPLE.COM1488-Sep-63singleFI: 170,000 – 189,999
480RoxanneMichalkowINDIA1200Roxanne.Michalkow@EIDER.EXAMPLE.COM14818-Sep-73singleML: 300,000 and above
481RoyHulceINDIA5000Roy.Hulce@SISKIN.EXAMPLE.COM14828-Sep-67marriedFE: 90,000 – 109,999
482RoyDunawayINDIA5000Roy.Dunaway@WHIMBREL.EXAMPLE.COM14828-Oct-55marriedFF: 110,000 – 129,999
483RoyBatesINDIA5000Roy.Bates@WIGEON.EXAMPLE.COM1487-Nov-42singleMG: 130,000 – 149,999
487RufusDvrrieINDIA1900Rufus.Dvrrie@PLOVER.EXAMPLE.COM14826-Nov-60marriedMJ: 190,000 – 249,999
488RufusBelushiINDIA1900Rufus.Belushi@PUFFIN.EXAMPLE.COM14826-Dec-52marriedMG: 130,000 – 149,999
492SallyEdwardsINDIA2500Sally.Edwards@TURNSTONE.EXAMPLE.COM1486-Jan-80marriedFK: 250,000 – 299,999
496ScottJordanINDIA5000Scott.Jordan@WILLET.EXAMPLE.COM14825-Jan-45marriedFG: 130,000 – 149,999
605ShammiPacinoINDIA500Shammi.Pacino@BITTERN.EXAMPLE.COM1485-Feb-59singleFB: 30,000 – 49,999
606SharmilaKazanINDIA500Sharmila.Kazan@BRANT.EXAMPLE.COM14825-Feb-38marriedFD: 70,000 – 89,999
609ShelleyTaylorINDIA3700Shelley.Taylor@CURLEW.EXAMPLE.COM14826-Mar-57marriedFI: 170,000 – 189,999
615ShyamPlummerINDIA2500Shyam.Plummer@VEERY.EXAMPLE.COM14825-Apr-69marriedMJ: 190,000 – 249,999
621SilkKurosawaINDIA1500Silk.Kurosawa@NUTHATCH.EXAMPLE.COM1485-May-84singleFG: 130,000 – 149,999
712M. EmmetStockwellITALY3700M.Emmet.Stockwell@COOT.EXAMPLE.COM1475-Jun-83singleMH: 150,000 – 169,999
713M. EmmetOlinITALY3700M.Emmet.Olin@CORMORANT.EXAMPLE.COM14724-Jun-48marriedFF: 110,000 – 129,999
717MammuttiSutherlandITALY500Mammutti.Sutherland@TOWHEE.EXAMPLE.COM14725-Jul-74marriedMD: 70,000 – 89,999
719ManiKazanITALY500Mani.Kazan@TROGON.EXAMPLE.COM1474-Aug-62singleMI: 170,000 – 189,999
721ManiBuckleyITALY500Mani.Buckley@TURNSTONE.EXAMPLE.COM14723-Aug-44marriedME: 90,000 – 109,999
729MargauxKrigeITALY2400Margaux.Krige@DUNLIN.EXAMPLE.COM14723-Sep-42marriedMF: 110,000 – 129,999
731MargauxCapshawITALY2400Margaux.Capshaw@EIDER.EXAMPLE.COM1472-Oct-33singleMB: 30,000 – 49,999
754KevinGoodmanITALY700Kevin.Goodman@WIGEON.EXAMPLE.COM14722-Oct-48marriedME: 90,000 – 109,999
756KevinWilderITALY700Kevin.Wilder@AUKLET.EXAMPLE.COM1472-Dec-86singleMG: 130,000 – 149,999
757KieferReynoldsITALY700Kiefer.Reynolds@AVOCET.EXAMPLE.COM14721-Dec-53marriedMF: 110,000 – 129,999
766KlausYoungITALY600Klaus.Young@OVENBIRD.EXAMPLE.COM1471-Jan-55singleMH: 150,000 – 169,999
768Klaus MariaMacLaineITALY100KlausMaria.MacLaine@CHUKAR.EXAMPLE.COM14731-Jan-80singleMA: Below 30,000
769KrisHarrisITALY400Kris.Harris@DIPPER.EXAMPLE.COM14719-Feb-49marriedMG: 130,000 – 149,999
770KrisCurtisITALY400Kris.Curtis@DOWITCHER.EXAMPLE.COM1472-Mar-55singleMK: 250,000 – 299,999
772KristinSavageITALY400Kristin.Savage@CURLEW.EXAMPLE.COM1471-Apr-43singleFF: 110,000 – 129,999
782LaurenceSeignierTHAILAND1200Laurence.Seignier@CREEPER.EXAMPLE.COM14921-Apr-83marriedMF: 110,000 – 129,999
825AlainDreyfussSWITZERLAND500Alain.Dreyfuss@VEERY.EXAMPLE.COM14730-Apr-76singleMJ: 190,000 – 249,999
827AlainSiegelSWITZERLAND500Alain.Siegel@VIREO.EXAMPLE.COM14719-Jun-73marriedFI: 170,000 – 189,999
828AlanMinnelliSWITZERLAND2300Alan.Minnelli@TANAGER.EXAMPLE.COM14720-Jul-55marriedMD: 70,000 – 89,999
829AlanHunterSWITZERLAND2300Alan.Hunter@TATTLER.EXAMPLE.COM14719-Aug-59marriedMI: 170,000 – 189,999
831AlbertBel GeddesSWITZERLAND3500Albert.BelGeddes@DIPPER.EXAMPLE.COM14717-Sep-52marriedME: 90,000 – 109,999
832AlbertSpacekSWITZERLAND3500Albert.Spacek@DOWITCHER.EXAMPLE.COM14727-Sep-76singleMF: 110,000 – 129,999
833AlecMoranisSWITZERLAND3500Alec.Moranis@DUNLIN.EXAMPLE.COM14717-Oct-34marriedMD: 70,000 – 89,999
834AlecIdleSWITZERLAND3500Alec.Idle@EIDER.EXAMPLE.COM14727-Oct-64singleMF: 110,000 – 129,999
835AlexanderEastwoodSWITZERLAND1200Alexander.Eastwood@AVOCET.EXAMPLE.COM14716-Nov-42marriedFE: 90,000 – 109,999
836AlexanderBerengerSWITZERLAND1200Alexander.Berenger@BECARD.EXAMPLE.COM14716-Dec-52marriedFC: 50,000 – 69,999
837AlexanderStantonSWITZERLAND1200Alexander.Stanton@AUKLET.EXAMPLE.COM14715-Jan-65marriedFD: 70,000 – 89,999
838AlfredNicholsonSWITZERLAND3500Alfred.Nicholson@CREEPER.EXAMPLE.COM14725-Jan-85singleMF: 110,000 – 129,999
839AlfredJohnsonSWITZERLAND3500Alfred.Johnson@FLICKER.EXAMPLE.COM14714-Feb-57marriedMJ: 190,000 – 249,999
840AliElliottSWITZERLAND1400Ali.Elliott@ANHINGA.EXAMPLE.COM14716-Mar-51marriedMG: 130,000 – 149,999
841AliBoyerSWITZERLAND1400Ali.Boyer@WILLET.EXAMPLE.COM14726-Mar-51singleMF: 110,000 – 129,999
842AliSternSWITZERLAND1400Ali.Stern@YELLOWTHROAT.EXAMPLE.COM14715-Apr-77marriedME: 90,000 – 109,999
843AliceOatesSWITZERLAND700Alice.Oates@BECARD.EXAMPLE.COM14725-Apr-59singleFD: 70,000 – 89,999
844AliceJuliusSWITZERLAND700Alice.Julius@BITTERN.EXAMPLE.COM14715-May-44marriedFD: 70,000 – 89,999
845AllyFawcettSWITZERLAND5000Ally.Fawcett@PLOVER.EXAMPLE.COM14725-May-44singleFA: Below 30,000
846AllyBrandoSWITZERLAND5000Ally.Brando@PINTAIL.EXAMPLE.COM14714-Jun-62marriedFL: 300,000 and above
847AllyStreepSWITZERLAND5000Ally.Streep@PIPIT.EXAMPLE.COM14714-Jul-42marriedMA: Below 30,000
848AlonsoOlmosSWITZERLAND1800Alonso.Olmos@PHALAROPE.EXAMPLE.COM14724-Jul-48singleFF: 110,000 – 129,999
849AlonsoKaurusmdkiSWITZERLAND1800Alonso.Kaurusmdki@PHOEBE.EXAMPLE.COM14713-Aug-80marriedFE: 90,000 – 109,999
851AmandaBrownSWITZERLAND2300Amanda.Brown@THRASHER.EXAMPLE.COM14712-Sep-51marriedFB: 30,000 – 49,999
852AmandaTannerSWITZERLAND2300Amanda.Tanner@TEAL.EXAMPLE.COM14722-Sep-53singleFG: 130,000 – 149,999
853AmrishPalinSWITZERLAND400Amrish.Palin@EIDER.EXAMPLE.COM14712-Oct-77marriedFI: 170,000 – 189,999
906BillyDenchINDIA1400Billy.Dench@CARACARA.EXAMPLE.COM14811-Nov-58marriedMI: 170,000 – 189,999
909BlakeMastroianniINDIA1200Blake.Mastroianni@FLICKER.EXAMPLE.COM14821-Nov-49singleMD: 70,000 – 89,999
912BoAshbyINDIA5000Bo.Ashby@TATTLER.EXAMPLE.COM14821-Dec-56singleMI: 170,000 – 189,999
913BobSharifINDIA5000Bob.Sharif@TEAL.EXAMPLE.COM14810-Jan-85marriedMF: 110,000 – 129,999
916BrianDouglasINDIA500Brian.Douglas@AVOCET.EXAMPLE.COM14820-Jan-78singleMJ: 190,000 – 249,999
917BrianBaldwinINDIA500Brian.Baldwin@BECARD.EXAMPLE.COM1489-Feb-75marriedME: 90,000 – 109,999
920BruceHulceINDIA3500Bruce.Hulce@JACANA.EXAMPLE.COM14810-Mar-72marriedMF: 110,000 – 129,999
921BruceDunawayINDIA3500Bruce.Dunaway@JUNCO.EXAMPLE.COM14820-Mar-48singleFF: 110,000 – 129,999
923BrunoSlaterINDIA5000Bruno.Slater@THRASHER.EXAMPLE.COM1489-Apr-60marriedFG: 130,000 – 149,999
927BryanBelushiINDIA2300Bryan.Belushi@TOWHEE.EXAMPLE.COM14810-May-61marriedMI: 170,000 – 189,999
928BurtSpielbergINDIA5000Burt.Spielberg@TROGON.EXAMPLE.COM1489-Jun-54marriedME: 90,000 – 109,999
929BurtNeesonINDIA5000Burt.Neeson@TURNSTONE.EXAMPLE.COM14819-Jun-78singleMF: 110,000 – 129,999
931BusterEdwardsINDIA900Buster.Edwards@KINGLET.EXAMPLE.COM1488-Aug-47marriedMF: 110,000 – 129,999
932BusterBogartINDIA900Buster.Bogart@KISKADEE.EXAMPLE.COM14817-Aug-52singleMH: 150,000 – 169,999
934C. ThomasNolteINDIA600C.Thomas.Nolte@PHOEBE.EXAMPLE.COM1487-Sep-59marriedMH: 150,000 – 169,999
981DanielGueneyCHINA200Daniel.Gueney@REDPOLL.EXAMPLE.COM1487-Oct-73marriedMK: 250,000 – 299,999
123ElizabethBrownAMERICA200Elizabeth.Brown@THRASHER.EXAMPLE.COM14524-Feb-49singleFF: 110,000 – 129,999
127CharlesBroderickAMERICA300Charles.Broderick@BITTERN.EXAMPLE.COM14526-Apr-43singleFB: 30,000 – 49,999
132DorisSpacekAMERICA400Doris.Spacek@FLICKER.EXAMPLE.COM14525-Jul-87singleMH: 150,000 – 169,999
137EliaBrandoAMERICA500Elia.Brando@JUNCO.EXAMPLE.COM14523-Oct-51singleMH: 150,000 – 169,999
142SachinSpielbergAMERICA500Sachin.Spielberg@GADWALL.EXAMPLE.COM14511-Jan-71marriedMC: 50,000 – 69,999
163ErnestChandarAMERICA900Ernest.Chandar@LIMPKIN.EXAMPLE.COM14516-Dec-62singleMH: 150,000 – 169,999
168HemaVoightAMERICA1200Hema.Voight@PHALAROPE.EXAMPLE.COM14516-Mar-50singleMH: 150,000 – 169,999
173KathleenWalkenAMERICA1200Kathleen.Walken@VIREO.EXAMPLE.COM1454-Jun-73marriedFE: 90,000 – 109,999
178GraceBelushiAMERICA1200Grace.Belushi@KILLDEER.EXAMPLE.COM1492-Sep-86marriedMH: 150,000 – 169,999
182LaurenDenchAMERICA1200Lauren.Dench@LONGSPUR.EXAMPLE.COM14922-Oct-75singleMK: 250,000 – 299,999
187GraceDvrrieAMERICA1200Grace.Dvrrie@PHOEBE.EXAMPLE.COM14931-Dec-48marriedFE: 90,000 – 109,999
212LuchinoFalkAMERICA1500Luchino.Falk@OVENBIRD.EXAMPLE.COM14925-Mar-72marriedML: 300,000 and above
217BryanHustonAMERICA2300Bryan.Huston@PYRRHULOXIA.EXAMPLE.COM14923-Jun-73marriedFB: 30,000 – 49,999
222CaryStockwellAMERICA2300Cary.Stockwell@VIREO.EXAMPLE.COM14923-Aug-63marriedMI: 170,000 – 189,999
226AjayAndrewsAMERICA2300Ajay.Andrews@YELLOWTHROAT.EXAMPLE.COM14921-Oct-56marriedMF: 110,000 – 129,999
231DannyRourkeAMERICA2400Danny.Rourke@BRANT.EXAMPLE.COM14531-Dec-47singleMF: 110,000 – 129,999
255BrookeShepherdAMERICA3500Brooke.Shepherd@KILLDEER.EXAMPLE.COM14513-Feb-85marriedMC: 50,000 – 69,999
260EllenKhanAMERICA3600Ellen.Khan@VERDIN.EXAMPLE.COM14914-May-62marriedMF: 110,000 – 129,999
264GeorgeAdjaniAMERICA3600George.Adjani@WILLET.EXAMPLE.COM14912-Aug-47marriedFF: 110,000 – 129,999
269KyleMartinAMERICA3700Kyle.Martin@EIDER.EXAMPLE.COM14511-Oct-58marriedFD: 70,000 – 89,999
273BoHitchcockAMERICA5000Bo.Hitchcock@ANHINGA.EXAMPLE.COM1459-Jan-54marriedME: 90,000 – 109,999
339MarilouLandisITALY500Marilou.Landis@TATTLER.EXAMPLE.COM14713-Jan-33singleMA: Below 30,000
344MarlonGodardJAPAN2400Marlon.Godard@MOORHEN.EXAMPLE.COM14814-Mar-60singleMH: 150,000 – 169,999
348KellyLangeITALY3600Kelly.Lange@SANDPIPER.EXAMPLE.COM14714-May-71singleMF: 110,000 – 129,999
352KennethRedfordITALY3600Kenneth.Redford@REDSTART.EXAMPLE.COM14713-Jul-71singleFB: 30,000 – 49,999
378MegSenTHAILAND3700Meg.Sen@COWBIRD.EXAMPLE.COM14930-Sep-53marriedMC: 50,000 – 69,999
449RickRomeroITALY1500Rick.Romero@LONGSPUR.EXAMPLE.COM14710-Dec-51singleFB: 30,000 – 49,999
453RidleyYoungINDIA700Ridley.Young@CHUKAR.EXAMPLE.COM14810-Feb-45singleMF: 110,000 – 129,999
463RobinAdjaniINDIA1500Robin.Adjani@MOORHEN.EXAMPLE.COM1481-Apr-49marriedFC: 50,000 – 69,999
470RogerMastroianniINDIA3700Roger.Mastroianni@CREEPER.EXAMPLE.COM14831-May-67marriedML: 300,000 and above
607SharmilaFondaINDIA500Sharmila.Fonda@BUFFLEHEAD.EXAMPLE.COM1486-Mar-49singleFH: 150,000 – 169,999
627SivajiGielgudINDIA500Sivaji.Gielgud@BULBUL.EXAMPLE.COM14825-May-49marriedFD: 70,000 – 89,999
715MalcolmFieldITALY2400Malcolm.Field@DOWITCHER.EXAMPLE.COM1475-Jul-51singleFG: 130,000 – 149,999
727MargaretUstinovITALY1200Margaret.Ustinov@ANHINGA.EXAMPLE.COM1472-Sep-49singleMH: 150,000 – 169,999
755KevinClevelandITALY700Kevin.Cleveland@WILLET.EXAMPLE.COM14721-Nov-81marriedMH: 150,000 – 169,999
oe.orders
For each order placed by a customer, various attributes are captured. There is one row per order.
order_idorder_dateorder_modecustomer_idorder_statusorder_totalsales_rep_idpromotion_id
245816-AUG-07 03.34.12.234359 PMdirect101078279.6153
239719-NOV-07 02.41.54.696211 PMdirect102142283.2154
245402-OCT-07 05.49.34.678340 PMdirect10316653.4154
235414-JUL-08 06.18.23.234567 PMdirect104046257155
235808-JAN-08 05.03.12.654278 PMdirect10527826155
238114-MAY-08 08.59.08.843679 PMdirect106323034.6156
244031-AUG-07 09.53.06.008765 PMdirect107370576.9156
235708-JAN-06 08.19.44.123456 PMdirect108559872.4158
239410-FEB-08 09.22.35.564789 PMdirect109521863158
243502-SEP-07 11.22.53.134567 PMdirect144662303159
245520-SEP-07 11.34.11.456789 AMdirect145714087.5160
237916-MAY-07 02.22.24.234567 AMdirect146817848.2161
239602-FEB-06 01.34.56.345678 AMdirect147834930161
240629-JUN-07 04.41.20.098765 AMdirect14882854.2161
243413-SEP-07 05.49.30.647893 AMdirect1498268651.8161
243602-SEP-07 06.18.04.378034 AMdirect11686394.8161
244627-JUL-07 07.03.08.302945 AMdirect1178103679.3161
244727-JUL-08 08.59.10.223344 AMdirect101833893.6161
243214-SEP-07 09.53.40.223345 AMdirect1021010523163
243313-SEP-07 10.19.00.654279 AMdirect1031078163
235526-JAN-06 09.22.51.962632 AMonline104894513.5
235626-JAN-08 09.22.41.934562 AMonline105529473.8
235908-JAN-06 09.34.13.112233 PMonline10695543.1
236014-NOV-07 12.22.31.223344 PMonline1074990.4
236113-NOV-07 01.34.21.986210 PMonline1088120131.3
236213-NOV-07 02.41.10.619477 PMonline109492829.4
236323-OCT-07 05.49.56.346122 PMonline144010082.3
236428-AUG-07 06.18.45.942399 PMonline14549500
236528-AUG-07 07.03.34.003399 PMonline146927455.3
236628-AUG-07 08.59.23.144778 PMonline147537319.4
236727-JUN-08 09.53.32.335522 PMonline14810144054.8
236826-JUN-08 10.19.43.190089 PMonline1491060065
236926-JUN-07 11.22.54.009932 PMonline116011097.4
237027-JUN-08 12.22.11.647398 AMonline1174126
237116-MAY-07 01.34.56.113356 AMonline118679405.6
237227-FEB-07 12.22.33.356789 AMonline119916447.2
237327-FEB-08 01.34.51.220065 AMonline1204416
237427-FEB-08 02.41.45.109654 AMonline12104797
237526-FEB-07 03.49.50.459233 AMonline1222103834.4
237607-JUN-07 06.18.08.883310 AMonline123611006.2
237707-JUN-07 07.03.01.001100 AMonline141538017.8
237824-MAY-07 08.59.10.010101 AMonline142525691.3
238016-MAY-07 09.53.02.909090 AMonline143327132.6
238214-MAY-08 10.19.03.828321 AMonline144871173
238312-MAY-08 11.22.30.545103 AMonline145836374.7
238412-MAY-08 12.22.34.525972 PMonline146329249.1
238508-DEC-07 11.34.11.331392 AMonline1474295892
238606-DEC-07 12.22.34.225609 PMonline1481021116.9
238711-MAR-07 03.34.56.536966 PMonline149552758.9
238804-JUN-07 04.41.12.554435 PMonline1504282694.3
238904-JUN-08 05.49.43.546954 PMonline151417620
239018-NOV-07 04.18.50.546851 PMonline15297616.8
239127-FEB-06 05.03.03.828330 PMdirect153248070.6156
239221-JUL-07 08.59.57.571057 PMdirect154926632161
239310-FEB-08 07.53.19.528202 PMdirect155423431.9161
239502-FEB-06 08.19.11.227550 PMdirect156368501163
239819-NOV-07 09.22.53.224175 PMdirect15797110.3163
239919-NOV-07 10.22.38.340990 PMdirect158025270.3161
240010-JUL-07 01.34.29.559387 AMdirect159269286.4161
240110-JUL-07 02.22.53.554822 AMdirect1603969.2163
240202-JUL-07 03.34.44.665170 AMdirect1618600154
240301-JUL-07 04.49.13.615512 PMdirect1620220154
240401-JUL-07 04.49.13.664085 PMdirect1636510158
240501-JUL-07 04.49.13.678123 PMdirect16451233159
240729-JUN-07 07.03.21.526005 AMdirect16592519155
240829-JUN-07 08.59.31.333617 AMdirect1661309158
240929-JUN-07 09.53.41.984501 AMdirect167248154
241024-MAY-08 10.19.51.985501 AMdirect168645175156
241124-MAY-07 11.22.10.548639 AMdirect169815760.5156
241229-MAR-06 10.22.09.509801 AMdirect170966816158
241329-MAR-08 01.34.04.525934 PMdirect101548552161
241429-MAR-07 02.22.40.536996 PMdirect102810794.6153
241529-MAR-06 01.34.50.545196 PMdirect1036310161
241629-MAR-07 04.41.20.945676 PMdirect1046384160
241720-MAR-07 05.49.10.974352 PMdirect10551926.6163
241820-MAR-04 04.18.21.862632 PMdirect10645546.6163
241920-MAR-07 07.03.32.764632 PMdirect107331574160
242013-MAR-07 08.59.43.666320 PMdirect108229750160
242112-MAR-07 09.53.54.562432 PMdirect109172836
242216-DEC-07 08.19.55.462332 PMdirect144211188.5153
242321-NOV-07 10.22.33.362632 AMdirect145310367.7160
242421-NOV-07 10.22.33.263332 AMdirect146413824153
242516-NOV-06 11.34.22.162552 PMdirect14751500.8163
242617-NOV-06 12.22.11.262552 AMdirect14867200
242710-NOV-07 01.34.22.362124 AMdirect14979055163
242810-NOV-07 02.41.34.463567 AMdirect116814685.8
242910-NOV-07 03.49.25.526321 AMdirect117950125154
243002-OCT-07 06.18.36.663332 AMdirect101829669.9159
243114-SEP-06 07.03.04.763452 AMdirect10215610.6163
243701-SEP-06 08.59.15.826132 AMdirect103413550163
243801-SEP-07 09.53.26.934626 AMdirect10405451154
243931-AUG-07 10.19.37.811132 AMdirect105122150.1159
244101-AUG-08 11.22.48.734526 AMdirect10652075.2160
244227-JUL-06 12.22.59.662632 PMdirect107952471.9154
244327-JUL-06 01.34.16.562632 PMdirect10803646154
244427-JUL-07 02.22.27.462632 PMdirect109177727.2155
244527-JUL-06 03.34.38.362632 PMdirect14485537.8158
244818-JUN-07 04.41.49.262632 PMdirect14551388158
244913-JUN-07 05.49.07.162632 PMdirect146686155
245011-APR-07 06.18.10.362632 PMdirect14731636159
245117-DEC-07 05.03.52.562632 PMdirect148710474.6154
245206-OCT-07 08.59.43.462632 PMdirect149512589159
245304-OCT-07 09.53.34.362632 PMdirect1160129153
245607-NOV-06 07.53.25.989889 PMdirect11703878.4163
245731-OCT-07 11.22.16.162632 PMdirect118521586.2159

Pre-existing Tables
Retrieving data from these tables is easy. Simply specify the table in the FROM clause. In the example code below, a report is generated containing the customer ID, first name, last name, and email address of each customer. The corresponding output is provided following the code.

SELECT
	oe.customers.customer_id,
    oe.customers.cust_first_name,
    oe.customers.cust_last_name,
    oe.customers.cust_email
FROM
	oe.customers;
customer_idcust_first_namecust_last_namecust_email
144SivajiLandisSivaji.Landis@GOLDENEYE.EXAMPLE.COM
145MammuttiPacinoMammutti.Pacino@GREBE.EXAMPLE.COM
146EliaFawcettElia.Fawcett@JACANA.EXAMPLE.COM
147IshwaryaRobertsIshwarya.Roberts@LAPWING.EXAMPLE.COM
148GustavSteenburgenGustav.Steenburgen@PINTAIL.EXAMPLE.COM
149MarkusRamplingMarkus.Rampling@PUFFIN.EXAMPLE.COM
150GoldieSlaterGoldie.Slater@PYRRHULOXIA.EXAMPLE.COM
151DivineAykroydDivine.Aykroyd@REDSTART.EXAMPLE.COM
152DieterMatthauDieter.Matthau@VERDIN.EXAMPLE.COM
153DivineSheenDivine.Sheen@COWBIRD.EXAMPLE.COM
154FredericGrodinFrederic.Grodin@CREEPER.EXAMPLE.COM
155FredericoRomeroFrederico.Romero@CURLEW.EXAMPLE.COM
156GoldieMontandGoldie.Montand@DIPPER.EXAMPLE.COM
157SidneyCapshawSidney.Capshaw@DUNLIN.EXAMPLE.COM
158FredericoLyonFrederico.Lyon@FLICKER.EXAMPLE.COM
159EddieBoyerEddie.Boyer@GALLINULE.EXAMPLE.COM
160EddieSternEddie.Stern@GODWIT.EXAMPLE.COM
161ErnestWeaverErnest.Weaver@GROSBEAK.EXAMPLE.COM
162ErnestGeorgeErnest.George@LAPWING.EXAMPLE.COM
164CharlotteKazanCharlotte.Kazan@MERGANSER.EXAMPLE.COM
165CharlotteFondaCharlotte.Fonda@MOORHEN.EXAMPLE.COM
166DheerajAlexanderDheeraj.Alexander@NUTHATCH.EXAMPLE.COM
167GerardHersheyGerard.Hershey@PARULA.EXAMPLE.COM
169DheerajDavisDheeraj.Davis@PIPIT.EXAMPLE.COM
170Harry DeanFondaHarryDean.Fonda@PLOVER.EXAMPLE.COM
171HemaPowellHema.Powell@SANDERLING.EXAMPLE.COM
172Harry MeanPeckinpahHarryMean.Peckinpah@VERDIN.EXAMPLE.COM
174BlakeSeignierBlake.Seignier@GALLINULE.EXAMPLE.COM
175ClaudePowellClaude.Powell@GODWIT.EXAMPLE.COM
176FayeGlennFaye.Glenn@GREBE.EXAMPLE.COM
177GerhardSeignierGerhard.Seignier@JACANA.EXAMPLE.COM
179Harry deanForrestHarrydean.Forrest@KISKADEE.EXAMPLE.COM
180Harry deanCageHarrydean.Cage@LAPWING.EXAMPLE.COM
181LaurenHersheyLauren.Hershey@LIMPKIN.EXAMPLE.COM
183LaurenAltmanLauren.Altman@MERGANSER.EXAMPLE.COM
184Mary BethRobertsMaryBeth.Roberts@NUTHATCH.EXAMPLE.COM
262FredReynoldsFred.Reynolds@WATERTHRUSH.EXAMPLE.COM
263FredLithgowFred.Lithgow@WHIMBREL.EXAMPLE.COM
265IreneLaughtonIrene.Laughton@ANHINGA.EXAMPLE.COM
266PremCardinalePrem.Cardinale@BITTERN.EXAMPLE.COM
267PremWalkenPrem.Walken@BRANT.EXAMPLE.COM
268KyleSchneiderKyle.Schneider@DUNLIN.EXAMPLE.COM
270MegDerekMeg.Derek@FLICKER.EXAMPLE.COM
271ShelleyPeckinpahShelley.Peckinpah@GODWIT.EXAMPLE.COM
272PremGarciaPrem.Garcia@JACANA.EXAMPLE.COM
274BobMcCarthyBob.McCarthy@ANI.EXAMPLE.COM
275DomMcQueenDom.McQueen@AUKLET.EXAMPLE.COM
276DomHoskinsDom.Hoskins@AVOCET.EXAMPLE.COM
101ConstantinWellesConstantin.Welles@ANHINGA.EXAMPLE.COM
102HarrisonPacinoHarrison.Pacino@ANI.EXAMPLE.COM
103ManishaTaylorManisha.Taylor@AUKLET.EXAMPLE.COM
104HarrisonSutherlandHarrison.Sutherland@GODWIT.EXAMPLE.COM
105MatthiasMacGrawMatthias.MacGraw@GOLDENEYE.EXAMPLE.COM
106MatthiasHannahMatthias.Hannah@GREBE.EXAMPLE.COM
107MatthiasCruiseMatthias.Cruise@GROSBEAK.EXAMPLE.COM
108MeenakshiMasonMeenakshi.Mason@JACANA.EXAMPLE.COM
109ChristianCageChristian.Cage@KINGLET.EXAMPLE.COM
110CharlieSutherlandCharlie.Sutherland@LIMPKIN.EXAMPLE.COM
111CharliePacinoCharlie.Pacino@LONGSPUR.EXAMPLE.COM
112GuillaumeJacksonGuillaume.Jackson@MOORHEN.EXAMPLE.COM
113DanielCostnerDaniel.Costner@PARULA.EXAMPLE.COM
114DianneDerekDianne.Derek@SAW-WHET.EXAMPLE.COM
115GeraldineSchneiderGeraldine.Schneider@SCAUP.EXAMPLE.COM
116GeraldineMartinGeraldine.Martin@SCOTER.EXAMPLE.COM
117GuillaumeEdwardsGuillaume.Edwards@SHRIKE.EXAMPLE.COM
118MauriceMahoneyMaurice.Mahoney@SNIPE.EXAMPLE.COM
119MauriceHasanMaurice.Hasan@STILT.EXAMPLE.COM
120DianeHigginsDiane.Higgins@TANAGER.EXAMPLE.COM
121DianneSenDianne.Sen@TATTLER.EXAMPLE.COM
122MauriceDaltreyMaurice.Daltrey@TEAL.EXAMPLE.COM
185MatthewWrightMatthew.Wright@OVENBIRD.EXAMPLE.COM
186MeenaAlexanderMeena.Alexander@PARULA.EXAMPLE.COM
188CharlotteBuckleyCharlotte.Buckley@PINTAIL.EXAMPLE.COM
277DonSiegelDon.Siegel@BITTERN.EXAMPLE.COM
278GvtzBradfordGvtz.Bradford@BULBUL.EXAMPLE.COM
279HollyKurosawaHolly.Kurosawa@CARACARA.EXAMPLE.COM
280RobMacLaineRob.MacLaine@COOT.EXAMPLE.COM
281DonBarkinDon.Barkin@CORMORANT.EXAMPLE.COM
282KurtDansonKurt.Danson@COWBIRD.EXAMPLE.COM
283KurtHeardKurt.Heard@CURLEW.EXAMPLE.COM
308GlendaDunawayGlenda.Dunaway@DOWITCHER.EXAMPLE.COM
309GlendaBatesGlenda.Bates@DIPPER.EXAMPLE.COM
323GoetzFalkGoetz.Falk@VEERY.EXAMPLE.COM
326HalOlinHal.Olin@FLICKER.EXAMPLE.COM
327HannahKanthHannah.Kanth@GADWALL.EXAMPLE.COM
328HannahFieldHannah.Field@GALLINULE.EXAMPLE.COM
333MargretPowellMargret.Powell@ANI.EXAMPLE.COM
334Harry MeanTaylorHarryMean.Taylor@REDPOLL.EXAMPLE.COM
335MargritGarnerMargrit.Garner@STILT.EXAMPLE.COM
337MariaWardenMaria.Warden@TANAGER.EXAMPLE.COM
361MarilouChapmanMarilou.Chapman@TEAL.EXAMPLE.COM
363KathyLambertKathy.Lambert@COOT.EXAMPLE.COM
360HelmutCapshawHelmut.Capshaw@TROGON.EXAMPLE.COM
341KeirGeorgeKeir.George@VIREO.EXAMPLE.COM
342MarlonLaughtonMarlon.Laughton@CORMORANT.EXAMPLE.COM
343KeirChandarKeir.Chandar@WATERTHRUSH.EXAMPLE.COM
345KeirWeaverKeir.Weaver@WHIMBREL.EXAMPLE.COM
346MarlonClaptonMarlon.Clapton@COWBIRD.EXAMPLE.COM
347KellyQuinlanKelly.Quinlan@PYRRHULOXIA.EXAMPLE.COM
349KenGlennKen.Glenn@SAW-WHET.EXAMPLE.COM
350KenChopraKen.Chopra@SCAUP.EXAMPLE.COM
351KenWendersKen.Wenders@REDPOLL.EXAMPLE.COM
380MerylHoldenMeryl.Holden@DIPPER.EXAMPLE.COM
447RichardCoppolaRichard.Coppola@SISKIN.EXAMPLE.COM
448RichardWintersRichard.Winters@SNIPE.EXAMPLE.COM
450RickLyonRick.Lyon@MERGANSER.EXAMPLE.COM
451RidleyHackmanRidley.Hackman@ANHINGA.EXAMPLE.COM
452RidleyCoyoteRidley.Coyote@ANI.EXAMPLE.COM
454RobRussellRob.Russell@VERDIN.EXAMPLE.COM
458Robertde NiroRobert.deNiro@DOWITCHER.EXAMPLE.COM
466RodolfoHersheyRodolfo.Hershey@VIREO.EXAMPLE.COM
467RodolfoDenchRodolfo.Dench@SCOTER.EXAMPLE.COM
468RodolfoAltmanRodolfo.Altman@SHRIKE.EXAMPLE.COM
189GenaHarrisGena.Harris@PIPIT.EXAMPLE.COM
190GenaCurtisGena.Curtis@PLOVER.EXAMPLE.COM
191MaureenSandersMaureen.Sanders@PUFFIN.EXAMPLE.COM
192SeanStockwellSean.Stockwell@PYRRHULOXIA.EXAMPLE.COM
193Harry deanKinskiHarrydean.Kinski@REDPOLL.EXAMPLE.COM
194KathleenGarciaKathleen.Garcia@REDSTART.EXAMPLE.COM
195SeanOlinSean.Olin@SCAUP.EXAMPLE.COM
196GerardDenchGerard.Dench@SCOTER.EXAMPLE.COM
197GerardAltmanGerard.Altman@SHRIKE.EXAMPLE.COM
198Maureende FunesMaureen.deFunes@SISKIN.EXAMPLE.COM
199ClintChapmanClint.Chapman@SNIPE.EXAMPLE.COM
200ClintGielgudClint.Gielgud@STILT.EXAMPLE.COM
201EricPrashantEric.Prashant@TATTLER.EXAMPLE.COM
202IngridWellesIngrid.Welles@TEAL.EXAMPLE.COM
203IngridRamplingIngrid.Rampling@WIGEON.EXAMPLE.COM
204CliffPuriCliff.Puri@CORMORANT.EXAMPLE.COM
205EmilyPollackEmily.Pollack@DIPPER.EXAMPLE.COM
206FritzHackmanFritz.Hackman@DUNLIN.EXAMPLE.COM
207CybillLaughtonCybill.Laughton@EIDER.EXAMPLE.COM
208CyndiGriemCyndi.Griem@GALLINULE.EXAMPLE.COM
209CyndiCollinsCyndi.Collins@GODWIT.EXAMPLE.COM
210CybillClaptonCybill.Clapton@GOLDENEYE.EXAMPLE.COM
211LuchinoJordanLuchino.Jordan@GREBE.EXAMPLE.COM
213LuchinoBradfordLuchino.Bradford@PARULA.EXAMPLE.COM
214RobinDansonRobin.Danson@PHAINOPEPLA.EXAMPLE.COM
215OrsonPerkinsOrson.Perkins@PINTAIL.EXAMPLE.COM
216OrsonKoiralaOrson.Koirala@PIPIT.EXAMPLE.COM
218BryanDvrrieBryan.Dvrrie@REDPOLL.EXAMPLE.COM
219AjaySenAjay.Sen@TROGON.EXAMPLE.COM
220CarolJordanCarol.Jordan@TURNSTONE.EXAMPLE.COM
221CarolBradfordCarol.Bradford@VERDIN.EXAMPLE.COM
223CaryOlinCary.Olin@WATERTHRUSH.EXAMPLE.COM
224ClaraKrigeClara.Krige@WHIMBREL.EXAMPLE.COM
225ClaraGanesanClara.Ganesan@WIGEON.EXAMPLE.COM
227KathyPrashantKathy.Prashant@ANI.EXAMPLE.COM
228GrahamNeesonGraham.Neeson@AUKLET.EXAMPLE.COM
229IanChapmanIan.Chapman@AVOCET.EXAMPLE.COM
230DannyWrightDanny.Wright@BITTERN.EXAMPLE.COM
232DonaldHunterDonald.Hunter@CHACHALACA.EXAMPLE.COM
233GrahamSpielbergGraham.Spielberg@CHUKAR.EXAMPLE.COM
234DanRobertsDan.Roberts@NUTHATCH.EXAMPLE.COM
235EdwardOatesEdward.Oates@OVENBIRD.EXAMPLE.COM
236EdwardJuliusEdward.Julius@PARULA.EXAMPLE.COM
237FarrahQuinlanFarrah.Quinlan@PHAINOPEPLA.EXAMPLE.COM
238FarrahLangeFarrah.Lange@PHALAROPE.EXAMPLE.COM
239HalStockwellHal.Stockwell@PHOEBE.EXAMPLE.COM
240MalcolmKanthMalcolm.Kanth@PIPIT.EXAMPLE.COM
241MalcolmBroderickMalcolm.Broderick@PLOVER.EXAMPLE.COM
242MaryLemmonMary.Lemmon@PUFFIN.EXAMPLE.COM
243MaryCollinsMary.Collins@PYRRHULOXIA.EXAMPLE.COM
244MattGueneyMatt.Gueney@REDPOLL.EXAMPLE.COM
245Maxvon SydowMax.vonSydow@REDSTART.EXAMPLE.COM
246MaxSchellMax.Schell@SANDERLING.EXAMPLE.COM
247CyndaWhitcraftCynda.Whitcraft@SANDPIPER.EXAMPLE.COM
248DonaldMinnelliDonald.Minnelli@SCAUP.EXAMPLE.COM
249HannahBroderickHannah.Broderick@SHRIKE.EXAMPLE.COM
250DanWilliamsDan.Williams@SISKIN.EXAMPLE.COM
251RaulWilderRaul.Wilder@STILT.EXAMPLE.COM
252Shah RukhFieldShahRukh.Field@WHIMBREL.EXAMPLE.COM
253SallyBogartSally.Bogart@WILLET.EXAMPLE.COM
254BruceBatesBruce.Bates@COWBIRD.EXAMPLE.COM
256Bende NiroBen.deNiro@KINGLET.EXAMPLE.COM
257EmmetWalkenEmmet.Walken@LIMPKIN.EXAMPLE.COM
258EllenPalinEllen.Palin@LONGSPUR.EXAMPLE.COM
259Denholmvon SydowDenholm.vonSydow@MERGANSER.EXAMPLE.COM
261EmmetGarciaEmmet.Garcia@VIREO.EXAMPLE.COM
124DianeMasonDiane.Mason@TROGON.EXAMPLE.COM
125DianneAndrewsDianne.Andrews@TURNSTONE.EXAMPLE.COM
126CharlesFieldCharles.Field@BECARD.EXAMPLE.COM
128IsabellaReedIsabella.Reed@BRANT.EXAMPLE.COM
129LouisJacksonLouis.Jackson@CARACARA.EXAMPLE.COM
130LouisEdwardsLouis.Edwards@CHACHALACA.EXAMPLE.COM
131DorisDuttDoris.Dutt@CHUKAR.EXAMPLE.COM
133KristinMaldenKristin.Malden@GODWIT.EXAMPLE.COM
134SissyPuriSissy.Puri@GREBE.EXAMPLE.COM
135DorisBel GeddesDoris.BelGeddes@GROSBEAK.EXAMPLE.COM
136SissyWardenSissy.Warden@JACANA.EXAMPLE.COM
138ManiFondaMani.Fonda@KINGLET.EXAMPLE.COM
139PlacidoKubrickPlacido.Kubrick@SCOTER.EXAMPLE.COM
140ClaudiaKurosawaClaudia.Kurosawa@CHUKAR.EXAMPLE.COM
141MaximilianHennerMaximilian.Henner@DUNLIN.EXAMPLE.COM
143SachinNeesonSachin.Neeson@GALLINULE.EXAMPLE.COM
767Klaus MariaRussellKlausMaria.Russell@COOT.EXAMPLE.COM
771Krisde NiroKris.deNiro@DUNLIN.EXAMPLE.COM
826AlainBarkinAlain.Barkin@VERDIN.EXAMPLE.COM
830AlbertDuttAlbert.Dutt@CURLEW.EXAMPLE.COM
850AmandaFinneyAmanda.Finney@STILT.EXAMPLE.COM
905BillyHersheyBilly.Hershey@BULBUL.EXAMPLE.COM
911BoDickinsonBo.Dickinson@TANAGER.EXAMPLE.COM
919BrookeMichalkowBrooke.Michalkow@GROSBEAK.EXAMPLE.COM
924BrunoMontandBruno.Montand@TOWHEE.EXAMPLE.COM
930BusterJacksonBuster.Jackson@KILLDEER.EXAMPLE.COM
980DanielLorenDaniel.Loren@REDSTART.EXAMPLE.COM
473RolfAshbyRolf.Ashby@WATERTHRUSH.EXAMPLE.COM
474RomySharifRomy.Sharif@SNIPE.EXAMPLE.COM
475RomyMcCarthyRomy.McCarthy@STILT.EXAMPLE.COM
476RosanneHopkinsRosanne.Hopkins@ANI.EXAMPLE.COM
477RosanneDouglasRosanne.Douglas@ANHINGA.EXAMPLE.COM
478RosanneBaldwinRosanne.Baldwin@AUKLET.EXAMPLE.COM
479RoxanneShepherdRoxanne.Shepherd@DUNLIN.EXAMPLE.COM
480RoxanneMichalkowRoxanne.Michalkow@EIDER.EXAMPLE.COM
481RoyHulceRoy.Hulce@SISKIN.EXAMPLE.COM
482RoyDunawayRoy.Dunaway@WHIMBREL.EXAMPLE.COM
483RoyBatesRoy.Bates@WIGEON.EXAMPLE.COM
487RufusDvrrieRufus.Dvrrie@PLOVER.EXAMPLE.COM
488RufusBelushiRufus.Belushi@PUFFIN.EXAMPLE.COM
492SallyEdwardsSally.Edwards@TURNSTONE.EXAMPLE.COM
496ScottJordanScott.Jordan@WILLET.EXAMPLE.COM
605ShammiPacinoShammi.Pacino@BITTERN.EXAMPLE.COM
606SharmilaKazanSharmila.Kazan@BRANT.EXAMPLE.COM
609ShelleyTaylorShelley.Taylor@CURLEW.EXAMPLE.COM
615ShyamPlummerShyam.Plummer@VEERY.EXAMPLE.COM
621SilkKurosawaSilk.Kurosawa@NUTHATCH.EXAMPLE.COM
712M. EmmetStockwellM.Emmet.Stockwell@COOT.EXAMPLE.COM
713M. EmmetOlinM.Emmet.Olin@CORMORANT.EXAMPLE.COM
717MammuttiSutherlandMammutti.Sutherland@TOWHEE.EXAMPLE.COM
719ManiKazanMani.Kazan@TROGON.EXAMPLE.COM
721ManiBuckleyMani.Buckley@TURNSTONE.EXAMPLE.COM
729MargauxKrigeMargaux.Krige@DUNLIN.EXAMPLE.COM
731MargauxCapshawMargaux.Capshaw@EIDER.EXAMPLE.COM
754KevinGoodmanKevin.Goodman@WIGEON.EXAMPLE.COM
756KevinWilderKevin.Wilder@AUKLET.EXAMPLE.COM
757KieferReynoldsKiefer.Reynolds@AVOCET.EXAMPLE.COM
766KlausYoungKlaus.Young@OVENBIRD.EXAMPLE.COM
768Klaus MariaMacLaineKlausMaria.MacLaine@CHUKAR.EXAMPLE.COM
769KrisHarrisKris.Harris@DIPPER.EXAMPLE.COM
770KrisCurtisKris.Curtis@DOWITCHER.EXAMPLE.COM
772KristinSavageKristin.Savage@CURLEW.EXAMPLE.COM
782LaurenceSeignierLaurence.Seignier@CREEPER.EXAMPLE.COM
825AlainDreyfussAlain.Dreyfuss@VEERY.EXAMPLE.COM
827AlainSiegelAlain.Siegel@VIREO.EXAMPLE.COM
828AlanMinnelliAlan.Minnelli@TANAGER.EXAMPLE.COM
829AlanHunterAlan.Hunter@TATTLER.EXAMPLE.COM
831AlbertBel GeddesAlbert.BelGeddes@DIPPER.EXAMPLE.COM
832AlbertSpacekAlbert.Spacek@DOWITCHER.EXAMPLE.COM
833AlecMoranisAlec.Moranis@DUNLIN.EXAMPLE.COM
834AlecIdleAlec.Idle@EIDER.EXAMPLE.COM
835AlexanderEastwoodAlexander.Eastwood@AVOCET.EXAMPLE.COM
836AlexanderBerengerAlexander.Berenger@BECARD.EXAMPLE.COM
837AlexanderStantonAlexander.Stanton@AUKLET.EXAMPLE.COM
838AlfredNicholsonAlfred.Nicholson@CREEPER.EXAMPLE.COM
839AlfredJohnsonAlfred.Johnson@FLICKER.EXAMPLE.COM
840AliElliottAli.Elliott@ANHINGA.EXAMPLE.COM
841AliBoyerAli.Boyer@WILLET.EXAMPLE.COM
842AliSternAli.Stern@YELLOWTHROAT.EXAMPLE.COM
843AliceOatesAlice.Oates@BECARD.EXAMPLE.COM
844AliceJuliusAlice.Julius@BITTERN.EXAMPLE.COM
845AllyFawcettAlly.Fawcett@PLOVER.EXAMPLE.COM
846AllyBrandoAlly.Brando@PINTAIL.EXAMPLE.COM
847AllyStreepAlly.Streep@PIPIT.EXAMPLE.COM
848AlonsoOlmosAlonso.Olmos@PHALAROPE.EXAMPLE.COM
849AlonsoKaurusmdkiAlonso.Kaurusmdki@PHOEBE.EXAMPLE.COM
851AmandaBrownAmanda.Brown@THRASHER.EXAMPLE.COM
852AmandaTannerAmanda.Tanner@TEAL.EXAMPLE.COM
853AmrishPalinAmrish.Palin@EIDER.EXAMPLE.COM
906BillyDenchBilly.Dench@CARACARA.EXAMPLE.COM
909BlakeMastroianniBlake.Mastroianni@FLICKER.EXAMPLE.COM
912BoAshbyBo.Ashby@TATTLER.EXAMPLE.COM
913BobSharifBob.Sharif@TEAL.EXAMPLE.COM
916BrianDouglasBrian.Douglas@AVOCET.EXAMPLE.COM
917BrianBaldwinBrian.Baldwin@BECARD.EXAMPLE.COM
920BruceHulceBruce.Hulce@JACANA.EXAMPLE.COM
921BruceDunawayBruce.Dunaway@JUNCO.EXAMPLE.COM
923BrunoSlaterBruno.Slater@THRASHER.EXAMPLE.COM
927BryanBelushiBryan.Belushi@TOWHEE.EXAMPLE.COM
928BurtSpielbergBurt.Spielberg@TROGON.EXAMPLE.COM
929BurtNeesonBurt.Neeson@TURNSTONE.EXAMPLE.COM
931BusterEdwardsBuster.Edwards@KINGLET.EXAMPLE.COM
932BusterBogartBuster.Bogart@KISKADEE.EXAMPLE.COM
934C. ThomasNolteC.Thomas.Nolte@PHOEBE.EXAMPLE.COM
981DanielGueneyDaniel.Gueney@REDPOLL.EXAMPLE.COM
123ElizabethBrownElizabeth.Brown@THRASHER.EXAMPLE.COM
127CharlesBroderickCharles.Broderick@BITTERN.EXAMPLE.COM
132DorisSpacekDoris.Spacek@FLICKER.EXAMPLE.COM
137EliaBrandoElia.Brando@JUNCO.EXAMPLE.COM
142SachinSpielbergSachin.Spielberg@GADWALL.EXAMPLE.COM
163ErnestChandarErnest.Chandar@LIMPKIN.EXAMPLE.COM
168HemaVoightHema.Voight@PHALAROPE.EXAMPLE.COM
173KathleenWalkenKathleen.Walken@VIREO.EXAMPLE.COM
178GraceBelushiGrace.Belushi@KILLDEER.EXAMPLE.COM
182LaurenDenchLauren.Dench@LONGSPUR.EXAMPLE.COM
187GraceDvrrieGrace.Dvrrie@PHOEBE.EXAMPLE.COM
212LuchinoFalkLuchino.Falk@OVENBIRD.EXAMPLE.COM
217BryanHustonBryan.Huston@PYRRHULOXIA.EXAMPLE.COM
222CaryStockwellCary.Stockwell@VIREO.EXAMPLE.COM
226AjayAndrewsAjay.Andrews@YELLOWTHROAT.EXAMPLE.COM
231DannyRourkeDanny.Rourke@BRANT.EXAMPLE.COM
255BrookeShepherdBrooke.Shepherd@KILLDEER.EXAMPLE.COM
260EllenKhanEllen.Khan@VERDIN.EXAMPLE.COM
264GeorgeAdjaniGeorge.Adjani@WILLET.EXAMPLE.COM
269KyleMartinKyle.Martin@EIDER.EXAMPLE.COM
273BoHitchcockBo.Hitchcock@ANHINGA.EXAMPLE.COM
339MarilouLandisMarilou.Landis@TATTLER.EXAMPLE.COM
344MarlonGodardMarlon.Godard@MOORHEN.EXAMPLE.COM
348KellyLangeKelly.Lange@SANDPIPER.EXAMPLE.COM
352KennethRedfordKenneth.Redford@REDSTART.EXAMPLE.COM
378MegSenMeg.Sen@COWBIRD.EXAMPLE.COM
449RickRomeroRick.Romero@LONGSPUR.EXAMPLE.COM
453RidleyYoungRidley.Young@CHUKAR.EXAMPLE.COM
463RobinAdjaniRobin.Adjani@MOORHEN.EXAMPLE.COM
470RogerMastroianniRoger.Mastroianni@CREEPER.EXAMPLE.COM
607SharmilaFondaSharmila.Fonda@BUFFLEHEAD.EXAMPLE.COM
627SivajiGielgudSivaji.Gielgud@BULBUL.EXAMPLE.COM
715MalcolmFieldMalcolm.Field@DOWITCHER.EXAMPLE.COM
727MargaretUstinovMargaret.Ustinov@ANHINGA.EXAMPLE.COM
755KevinClevelandKevin.Cleveland@WILLET.EXAMPLE.COM

As you continue reading, remember, this page is dedicated to providing a high-level overview on the several ways the FROM clause can be used and the expectation is for those reading this page to be at the beginning of their SQL learning journey. Knowledge of how to source data from pre-existing tables is the foundation you should be building at this point. The objects and concepts covered throughout the rest of this page are crucial to learning SQL and using it to solve real-world problems, efficiently; however, a firm understanding on these can wait until all BIG SIX clauses are well-understood. Continue reading to further explore other objects commonly used in the FROM clause.

Derived Tables
A derived table or inline view is the result set generated by a subquery. Subqueries are particularly useful in solving problems containing multiple steps or subproblems and are surrounded by parentheses. In a similar fashion to mathematics, a subquery is executed prior to the outer query relying on its output. Subqueries can be used within several clauses, including SELECT, FROM, WHERE, and HAVING, among others. For better or worse, they can also be nested. The query below contains an example of a perfectly valid subquery, albeit a superfluous one.

SELECT
    subquery_example.order_id,
    subquery_example.order_date,
    subquery_example.customer_id,
    subquery_example.order_total
FROM (
    SELECT
    	oe.orders.order_id,
        oe.orders.order_date,
        oe.orders.customer_id,
        oe.orders.order_total
    FROM
    	oe.orders
) subquery_example;
order_idorder_datecustomer_idorder_total
245816-AUG-07 03.34.12.234359 PM10178279.6
239719-NOV-07 02.41.54.696211 PM10242283.2
245402-OCT-07 05.49.34.678340 PM1036653.4
235414-JUL-08 06.18.23.234567 PM10446257
235808-JAN-08 05.03.12.654278 PM1057826
238114-MAY-08 08.59.08.843679 PM10623034.6
244031-AUG-07 09.53.06.008765 PM10770576.9
235708-JAN-06 08.19.44.123456 PM10859872.4
239410-FEB-08 09.22.35.564789 PM10921863
243502-SEP-07 11.22.53.134567 PM14462303
245520-SEP-07 11.34.11.456789 AM14514087.5
237916-MAY-07 02.22.24.234567 AM14617848.2
239602-FEB-06 01.34.56.345678 AM14734930
240629-JUN-07 04.41.20.098765 AM1482854.2
243413-SEP-07 05.49.30.647893 AM149268651.8
243602-SEP-07 06.18.04.378034 AM1166394.8
244627-JUL-07 07.03.08.302945 AM117103679.3
244727-JUL-08 08.59.10.223344 AM10133893.6
243214-SEP-07 09.53.40.223345 AM10210523
243313-SEP-07 10.19.00.654279 AM10378
235526-JAN-06 09.22.51.962632 AM10494513.5
235626-JAN-08 09.22.41.934562 AM10529473.8
235908-JAN-06 09.34.13.112233 PM1065543.1
236014-NOV-07 12.22.31.223344 PM107990.4
236113-NOV-07 01.34.21.986210 PM108120131.3
236213-NOV-07 02.41.10.619477 PM10992829.4
236323-OCT-07 05.49.56.346122 PM14410082.3
236428-AUG-07 06.18.45.942399 PM1459500
236528-AUG-07 07.03.34.003399 PM14627455.3
236628-AUG-07 08.59.23.144778 PM14737319.4
236727-JUN-08 09.53.32.335522 PM148144054.8
236826-JUN-08 10.19.43.190089 PM14960065
236926-JUN-07 11.22.54.009932 PM11611097.4
237027-JUN-08 12.22.11.647398 AM117126
237116-MAY-07 01.34.56.113356 AM11879405.6
237227-FEB-07 12.22.33.356789 AM11916447.2
237327-FEB-08 01.34.51.220065 AM120416
237427-FEB-08 02.41.45.109654 AM1214797
237526-FEB-07 03.49.50.459233 AM122103834.4
237607-JUN-07 06.18.08.883310 AM12311006.2
237707-JUN-07 07.03.01.001100 AM14138017.8
237824-MAY-07 08.59.10.010101 AM14225691.3
238016-MAY-07 09.53.02.909090 AM14327132.6
238214-MAY-08 10.19.03.828321 AM14471173
238312-MAY-08 11.22.30.545103 AM14536374.7
238412-MAY-08 12.22.34.525972 PM14629249.1
238508-DEC-07 11.34.11.331392 AM147295892
238606-DEC-07 12.22.34.225609 PM14821116.9
238711-MAR-07 03.34.56.536966 PM14952758.9
238804-JUN-07 04.41.12.554435 PM150282694.3
238904-JUN-08 05.49.43.546954 PM15117620
239018-NOV-07 04.18.50.546851 PM1527616.8
239127-FEB-06 05.03.03.828330 PM15348070.6
239221-JUL-07 08.59.57.571057 PM15426632
239310-FEB-08 07.53.19.528202 PM15523431.9
239502-FEB-06 08.19.11.227550 PM15668501
239819-NOV-07 09.22.53.224175 PM1577110.3
239919-NOV-07 10.22.38.340990 PM15825270.3
240010-JUL-07 01.34.29.559387 AM15969286.4
240110-JUL-07 02.22.53.554822 AM160969.2
240202-JUL-07 03.34.44.665170 AM161600
240301-JUL-07 04.49.13.615512 PM162220
240401-JUL-07 04.49.13.664085 PM163510
240501-JUL-07 04.49.13.678123 PM1641233
240729-JUN-07 07.03.21.526005 AM1652519
240829-JUN-07 08.59.31.333617 AM166309
240929-JUN-07 09.53.41.984501 AM16748
241024-MAY-08 10.19.51.985501 AM16845175
241124-MAY-07 11.22.10.548639 AM16915760.5
241229-MAR-06 10.22.09.509801 AM17066816
241329-MAR-08 01.34.04.525934 PM10148552
241429-MAR-07 02.22.40.536996 PM10210794.6
241529-MAR-06 01.34.50.545196 PM103310
241629-MAR-07 04.41.20.945676 PM104384
241720-MAR-07 05.49.10.974352 PM1051926.6
241820-MAR-04 04.18.21.862632 PM1065546.6
241920-MAR-07 07.03.32.764632 PM10731574
242013-MAR-07 08.59.43.666320 PM10829750
242112-MAR-07 09.53.54.562432 PM10972836
242216-DEC-07 08.19.55.462332 PM14411188.5
242321-NOV-07 10.22.33.362632 AM14510367.7
242421-NOV-07 10.22.33.263332 AM14613824
242516-NOV-06 11.34.22.162552 PM1471500.8
242617-NOV-06 12.22.11.262552 AM1487200
242710-NOV-07 01.34.22.362124 AM1499055
242810-NOV-07 02.41.34.463567 AM11614685.8
242910-NOV-07 03.49.25.526321 AM11750125
243002-OCT-07 06.18.36.663332 AM10129669.9
243114-SEP-06 07.03.04.763452 AM1025610.6
243701-SEP-06 08.59.15.826132 AM10313550
243801-SEP-07 09.53.26.934626 AM1045451
243931-AUG-07 10.19.37.811132 AM10522150.1
244101-AUG-08 11.22.48.734526 AM1062075.2
244227-JUL-06 12.22.59.662632 PM10752471.9
244327-JUL-06 01.34.16.562632 PM1083646
244427-JUL-07 02.22.27.462632 PM10977727.2
244527-JUL-06 03.34.38.362632 PM1445537.8
244818-JUN-07 04.41.49.262632 PM1451388
244913-JUN-07 05.49.07.162632 PM14686
245011-APR-07 06.18.10.362632 PM1471636
245117-DEC-07 05.03.52.562632 PM14810474.6
245206-OCT-07 08.59.43.462632 PM14912589
245304-OCT-07 09.53.34.362632 PM116129
245607-NOV-06 07.53.25.989889 PM1173878.4
245731-OCT-07 11.22.16.162632 PM11821586.2

A subquery is unnecessary here because the outer query doesn’t achieve anything beyond what is already accomplished by the subquery.

To illustrate an example where subqueries shine, imagine you are tasked with generating a report containing the top three customers in terms of total spend. Additionally, it is a requirement to address ties in total spend by assigning the same rank or integer value to each tie and continuing with the next consecutive integer value for the next highest total spend value(s). The query below will do just that! First, the subquery generates the total spend for each customer across all their respective orders and ranks them by total spend, highest to lowest. This derived table (i.e., output of the subquery) is subsequently used by the outer query and is filtered to those customers with rank value of less than or equal to three.

SELECT
    top_customer.customer_id,
    top_customer.total_spend
FROM (
    SELECT
        oe.orders.customer_id,
        SUM(oe.orders.order_total) AS total_spend,
    	DENSE_RANK() OVER (
    		ORDER BY SUM(oe.orders.order_total) DESC
        ) AS spend_rank
    FROM
    	oe.orders
    GROUP BY
    	oe.orders.customer_id
) top_customer
WHERE
    top_customer.spend_rank <= 3;
customer_idtotal_spend
149403119.7
147371278.2
150282694.3

You may be puzzled by the fact a subquery was required in the example above. There’s a good reason for it, but it requires a deeper understanding on how each SELECT statement’s clauses are processed and goes beyond the focus of this page. To learn more about subqueries and explore additional real-world examples, see my subqueries page. Within that page, there are links to further explore the use of subqueries within each applicable clause.

Common Table Expressions
A common table expression (CTE) is a named, temporary result set. These objects allow users to break complex problems down into more manageable chunks or subproblems. Each subproblem’s solution is the result set generated by the corresponding CTE. These solutions are subsequently brought together to solve the whole problem. The use of CTEs can make a user’s strategy in solving a specific problem easier to follow for the original author of the code as well as other users required to understand it. Let’s walk through a simple example task highlighting the utility of CTEs.

In this example task, an organization requires a report to better understand their current customers (i.e., those customers having placed at least one order). A requirement for the report is to provide the customer ID, first and last name, email address, date of birth, marital status, gender, income level, and credit limit of each customer. Additionally, a handful of statistics pertaining to each customer’s order history is required. For each customer, the number of orders placed, total sales generated across all orders, average sale amount, minimum sale amount, and maximum sale amount is needed.

In the example solution below, the problem has been broken down into three subproblems. First, a CTE named “customer_order_summary” is used to generate the order statistics for each customer and uses the pre-existing table, oe.orders. Second, a CTE named “customer” is used to retrieve the necessary attributes from the pre-existing table, oe.customers. In the final SELECT statement, the two result sets generated from the CTEs are brought together using a JOIN. For the sake of clarity, three individual result sets follow the code. The first is the result set generated by “customer_order_summary”, the second is the result set generated by “customer”, and the final result set is that generated by bringing the two intermediate solutions or result sets together through the use of an INNER JOIN.

WITH customer_order_summary AS (
    SELECT
		oe.orders.customer_id,
    	COUNT(oe.orders.order_id) AS order_count,
		SUM(oe.orders.order_total) AS total_sale,
		AVG(oe.orders.order_total) AS average_sale,
		MIN(oe.orders.order_total) AS minimum_sale,
		MAX(oe.orders.order_total) AS maximum_sale
    FROM
    	oe.orders
	GROUP BY
		oe.orders.customer_id
),
customer AS (
	SELECT
		oe.customers.customer_id,
		oe.customers.cust_first_name,
		oe.customers.cust_last_name,
		oe.customers.cust_email,
		oe.customers.date_of_birth,
		oe.customers.marital_status,
		oe.customers.gender,
		oe.customers.income_level,
		oe.customers.credit_limit
	FROM
		oe.customers
)
SELECT
	customer.customer_id,
	customer.cust_first_name,
	customer.cust_last_name,
	customer.cust_email,
	customer.date_of_birth,
	customer.marital_status,
	customer.gender,
	customer.income_level,
	customer.credit_limit,
	customer_order_summary.order_count,
	customer_order_summary.total_sale,
	customer_order_summary.average_sale,
	customer_order_summary.minimum_sale,
	customer_order_summary.maximum_sale
FROM
	customer_order_summary
	INNER JOIN
	customer
		ON customer_order_summary.customer_id = customer.customer_id;
	
customer_idorder_counttotal_saleaverage_saleminimum_salemaximum_sale
1074155613.238903.3990.470576.9
1084213399.753349.9253646120131.3
158125270.325270.325270.325270.3
1611600600600600
1661309309309309
105461376.515344.1251926.629473.8
1094265255.666313.92186392829.4
143127132.627132.627132.627132.6
159169286.469286.469286.469286.4
1621220220220220
1631510510510510
168145175451754517545175
1044146605.536651.37538494513.5
1182100991.850495.921586.279405.6
145571717.914343.58138836374.7
12114797479747974797
141138017.838017.838017.838017.8
155123431.923431.923431.923431.9
1014190395.147598.77529669.978279.6
103420591.45147.857813550
1164323078076.7512914685.8
1201416416416416
142125691.325691.325691.325691.3
151117620176201762017620
156168501685016850168501
15717110.37110.37110.37110.3
169115760.515760.515760.515760.5
146588462.617692.528629249.1
1485185700.537140.12854.2144054.8
1495403119.780623.949055268651.8
1221103834.4103834.4103834.4103834.4
15217616.87616.87616.87616.8
170166816668166681666816
1445160284.632056.925537.871173
119116447.216447.216447.216447.2
153148070.648070.648070.648070.6
16411233123312331233
167148484848
102469211.417302.855610.642283.2
106436199.59049.8752075.223034.6
1475371278.274255.641500.8295892
1174157808.739452.175126103679.3
123111006.211006.211006.211006.2
1501282694.3282694.3282694.3282694.3
154126632266322663226632
1601969.2969.2969.2969.2
16512519251925192519
customer_idcust_first_namecust_last_namecust_emaildate_of_birthmarital_statusgenderincome_levelcredit_limit
144SivajiLandisSivaji.Landis@GOLDENEYE.EXAMPLE.COM09-FEB-70marriedMF: 110,000 – 129,999500
145MammuttiPacinoMammutti.Pacino@GREBE.EXAMPLE.COM19-FEB-46singleMF: 110,000 – 129,999500
146EliaFawcettElia.Fawcett@JACANA.EXAMPLE.COM12-MAR-63marriedFL: 300,000 and above500
147IshwaryaRobertsIshwarya.Roberts@LAPWING.EXAMPLE.COM21-MAR-44singleFG: 130,000 – 149,999600
148GustavSteenburgenGustav.Steenburgen@PINTAIL.EXAMPLE.COM10-APR-50marriedMF: 110,000 – 129,999600
149MarkusRamplingMarkus.Rampling@PUFFIN.EXAMPLE.COM20-APR-41singleMD: 70,000 – 89,999600
150GoldieSlaterGoldie.Slater@PYRRHULOXIA.EXAMPLE.COM11-MAY-51marriedMD: 70,000 – 89,999700
151DivineAykroydDivine.Aykroyd@REDSTART.EXAMPLE.COM20-MAY-76singleMF: 110,000 – 129,999700
152DieterMatthauDieter.Matthau@VERDIN.EXAMPLE.COM09-JUN-22marriedMA: Below 30,000700
153DivineSheenDivine.Sheen@COWBIRD.EXAMPLE.COM20-JUN-67singleMI: 170,000 – 189,999700
154FredericGrodinFrederic.Grodin@CREEPER.EXAMPLE.COM29-JUN-65singleFL: 300,000 and above700
155FredericoRomeroFrederico.Romero@CURLEW.EXAMPLE.COM09-JUL-42marriedME: 90,000 – 109,999700
156GoldieMontandGoldie.Montand@DIPPER.EXAMPLE.COM09-AUG-55marriedFF: 110,000 – 129,999700
157SidneyCapshawSidney.Capshaw@DUNLIN.EXAMPLE.COM18-AUG-69singleMG: 130,000 – 149,999700
158FredericoLyonFrederico.Lyon@FLICKER.EXAMPLE.COM07-SEP-70marriedMJ: 190,000 – 249,999700
159EddieBoyerEddie.Boyer@GALLINULE.EXAMPLE.COM07-OCT-53marriedMG: 130,000 – 149,999700
160EddieSternEddie.Stern@GODWIT.EXAMPLE.COM06-NOV-50marriedMG: 130,000 – 149,999700
161ErnestWeaverErnest.Weaver@GROSBEAK.EXAMPLE.COM16-NOV-42singleMB: 30,000 – 49,999900
162ErnestGeorgeErnest.George@LAPWING.EXAMPLE.COM07-DEC-75marriedMD: 70,000 – 89,999900
164CharlotteKazanCharlotte.Kazan@MERGANSER.EXAMPLE.COM05-JAN-54marriedMI: 170,000 – 189,9991200
165CharlotteFondaCharlotte.Fonda@MOORHEN.EXAMPLE.COM05-FEB-56marriedMJ: 190,000 – 249,9991200
166DheerajAlexanderDheeraj.Alexander@NUTHATCH.EXAMPLE.COM14-FEB-50singleFG: 130,000 – 149,9991200
167GerardHersheyGerard.Hershey@PARULA.EXAMPLE.COM06-MAR-48marriedMD: 70,000 – 89,9991200
169DheerajDavisDheeraj.Davis@PIPIT.EXAMPLE.COM05-APR-81marriedFF: 110,000 – 129,9991200
170Harry DeanFondaHarryDean.Fonda@PLOVER.EXAMPLE.COM15-APR-88singleMG: 130,000 – 149,9991200
171HemaPowellHema.Powell@SANDERLING.EXAMPLE.COM05-MAY-53marriedMD: 70,000 – 89,9991200
172Harry MeanPeckinpahHarryMean.Peckinpah@VERDIN.EXAMPLE.COM15-MAY-59singleMI: 170,000 – 189,9991200
174BlakeSeignierBlake.Seignier@GALLINULE.EXAMPLE.COM14-JUN-88singleMH: 150,000 – 169,9991200
175ClaudePowellClaude.Powell@GODWIT.EXAMPLE.COM04-JUL-46marriedMF: 110,000 – 129,9991200
176FayeGlennFaye.Glenn@GREBE.EXAMPLE.COM14-JUL-47singleFB: 30,000 – 49,9991200
177GerhardSeignierGerhard.Seignier@JACANA.EXAMPLE.COM03-AUG-78marriedME: 90,000 – 109,9991200
179Harry deanForrestHarrydean.Forrest@KISKADEE.EXAMPLE.COM12-SEP-74singleMG: 130,000 – 149,9991200
180Harry deanCageHarrydean.Cage@LAPWING.EXAMPLE.COM02-OCT-75marriedFF: 110,000 – 129,9991200
181LaurenHersheyLauren.Hershey@LIMPKIN.EXAMPLE.COM12-OCT-65singleFH: 150,000 – 169,9991200
183LaurenAltmanLauren.Altman@MERGANSER.EXAMPLE.COM01-NOV-68marriedFC: 50,000 – 69,9991200
184Mary BethRobertsMaryBeth.Roberts@NUTHATCH.EXAMPLE.COM11-NOV-27singleMA: Below 30,0001200
262FredReynoldsFred.Reynolds@WATERTHRUSH.EXAMPLE.COM13-JUL-58marriedMF: 110,000 – 129,9993600
263FredLithgowFred.Lithgow@WHIMBREL.EXAMPLE.COM23-JUL-79singleMD: 70,000 – 89,9993600
265IreneLaughtonIrene.Laughton@ANHINGA.EXAMPLE.COM22-AUG-73singleFJ: 190,000 – 249,9993600
266PremCardinalePrem.Cardinale@BITTERN.EXAMPLE.COM01-SEP-70singleML: 300,000 and above3700
267PremWalkenPrem.Walken@BRANT.EXAMPLE.COM11-SEP-53marriedFG: 130,000 – 149,9993700
268KyleSchneiderKyle.Schneider@DUNLIN.EXAMPLE.COM21-SEP-52singleFG: 130,000 – 149,9993700
270MegDerekMeg.Derek@FLICKER.EXAMPLE.COM10-NOV-71marriedMF: 110,000 – 129,9993700
271ShelleyPeckinpahShelley.Peckinpah@GODWIT.EXAMPLE.COM20-NOV-87singleFD: 70,000 – 89,9993700
272PremGarciaPrem.Garcia@JACANA.EXAMPLE.COM10-DEC-60marriedMI: 170,000 – 189,9993700
274BobMcCarthyBob.McCarthy@ANI.EXAMPLE.COM19-JAN-46singleMA: Below 30,0005000
275DomMcQueenDom.McQueen@AUKLET.EXAMPLE.COM08-FEB-84marriedFG: 130,000 – 149,9995000
276DomHoskinsDom.Hoskins@AVOCET.EXAMPLE.COM10-MAR-51marriedME: 90,000 – 109,9995000
101ConstantinWellesConstantin.Welles@ANHINGA.EXAMPLE.COM20-FEB-72marriedMB: 30,000 – 49,999100
102HarrisonPacinoHarrison.Pacino@ANI.EXAMPLE.COM02-MAR-53singleMI: 170,000 – 189,999100
103ManishaTaylorManisha.Taylor@AUKLET.EXAMPLE.COM22-MAR-83marriedFH: 150,000 – 169,999100
104HarrisonSutherlandHarrison.Sutherland@GODWIT.EXAMPLE.COM31-MAR-72singleFH: 150,000 – 169,999100
105MatthiasMacGrawMatthias.MacGraw@GOLDENEYE.EXAMPLE.COM21-APR-69marriedFC: 50,000 – 69,999100
106MatthiasHannahMatthias.Hannah@GREBE.EXAMPLE.COM30-APR-60singleMF: 110,000 – 129,999100
107MatthiasCruiseMatthias.Cruise@GROSBEAK.EXAMPLE.COM21-MAY-69marriedFG: 130,000 – 149,999100
108MeenakshiMasonMeenakshi.Mason@JACANA.EXAMPLE.COM20-JUN-57marriedMH: 150,000 – 169,999100
109ChristianCageChristian.Cage@KINGLET.EXAMPLE.COM30-JUN-38singleMF: 110,000 – 129,999100
110CharlieSutherlandCharlie.Sutherland@LIMPKIN.EXAMPLE.COM20-JUL-51marriedMG: 130,000 – 149,999200
111CharliePacinoCharlie.Pacino@LONGSPUR.EXAMPLE.COM29-JUL-48singleMG: 130,000 – 149,999200
112GuillaumeJacksonGuillaume.Jackson@MOORHEN.EXAMPLE.COM19-AUG-54marriedMI: 170,000 – 189,999200
113DanielCostnerDaniel.Costner@PARULA.EXAMPLE.COM29-AUG-77singleMI: 170,000 – 189,999200
114DianneDerekDianne.Derek@SAW-WHET.EXAMPLE.COM17-SEP-48marriedMH: 150,000 – 169,999200
115GeraldineSchneiderGeraldine.Schneider@SCAUP.EXAMPLE.COM18-OCT-31marriedMB: 30,000 – 49,999200
116GeraldineMartinGeraldine.Martin@SCOTER.EXAMPLE.COM28-OCT-27singleMA: Below 30,000200
117GuillaumeEdwardsGuillaume.Edwards@SHRIKE.EXAMPLE.COM16-NOV-52marriedME: 90,000 – 109,999200
118MauriceMahoneyMaurice.Mahoney@SNIPE.EXAMPLE.COM27-NOV-66singleMF: 110,000 – 129,999200
119MauriceHasanMaurice.Hasan@STILT.EXAMPLE.COM17-DEC-65marriedMG: 130,000 – 149,999200
120DianeHigginsDiane.Higgins@TANAGER.EXAMPLE.COM26-DEC-84singleMH: 150,000 – 169,999200
121DianneSenDianne.Sen@TATTLER.EXAMPLE.COM15-JAN-53marriedMH: 150,000 – 169,999200
122MauriceDaltreyMaurice.Daltrey@TEAL.EXAMPLE.COM15-FEB-43marriedMA: Below 30,000200
185MatthewWrightMatthew.Wright@OVENBIRD.EXAMPLE.COM01-DEC-59marriedFG: 130,000 – 149,9991200
186MeenaAlexanderMeena.Alexander@PARULA.EXAMPLE.COM11-DEC-61singleFK: 250,000 – 299,9991200
188CharlotteBuckleyCharlotte.Buckley@PINTAIL.EXAMPLE.COM10-JAN-49singleFF: 110,000 – 129,9991200
277DonSiegelDon.Siegel@BITTERN.EXAMPLE.COM20-MAR-50singleMB: 30,000 – 49,9995000
278GvtzBradfordGvtz.Bradford@BULBUL.EXAMPLE.COM08-APR-64marriedMK: 250,000 – 299,9995000
279HollyKurosawaHolly.Kurosawa@CARACARA.EXAMPLE.COM19-APR-61singleMI: 170,000 – 189,9995000
280RobMacLaineRob.MacLaine@COOT.EXAMPLE.COM09-MAY-49marriedMB: 30,000 – 49,9995000
281DonBarkinDon.Barkin@CORMORANT.EXAMPLE.COM18-MAY-56singleMI: 170,000 – 189,9995000
282KurtDansonKurt.Danson@COWBIRD.EXAMPLE.COM07-JUN-88marriedMH: 150,000 – 169,9995000
283KurtHeardKurt.Heard@CURLEW.EXAMPLE.COM18-JUN-94singleMH: 150,000 – 169,9995000
308GlendaDunawayGlenda.Dunaway@DOWITCHER.EXAMPLE.COM08-JUL-57marriedMC: 50,000 – 69,9991200
309GlendaBatesGlenda.Bates@DIPPER.EXAMPLE.COM18-JUL-55singleMF: 110,000 – 129,9991200
323GoetzFalkGoetz.Falk@VEERY.EXAMPLE.COM06-AUG-80marriedFG: 130,000 – 149,9995000
326HalOlinHal.Olin@FLICKER.EXAMPLE.COM06-SEP-59marriedFH: 150,000 – 169,9992400
327HannahKanthHannah.Kanth@GADWALL.EXAMPLE.COM15-SEP-56singleMF: 110,000 – 129,9992400
328HannahFieldHannah.Field@GALLINULE.EXAMPLE.COM06-OCT-85marriedFG: 130,000 – 149,9992400
333MargretPowellMargret.Powell@ANI.EXAMPLE.COM16-OCT-53singleMG: 130,000 – 149,9991200
334Harry MeanTaylorHarryMean.Taylor@REDPOLL.EXAMPLE.COM15-NOV-81singleMI: 170,000 – 189,9991200
335MargritGarnerMargrit.Garner@STILT.EXAMPLE.COM05-DEC-82marriedFH: 150,000 – 169,999500
337MariaWardenMaria.Warden@TANAGER.EXAMPLE.COM03-JAN-73marriedFB: 30,000 – 49,999500
361MarilouChapmanMarilou.Chapman@TEAL.EXAMPLE.COM11-AUG-89singleFD: 70,000 – 89,999500
363KathyLambertKathy.Lambert@COOT.EXAMPLE.COM31-AUG-56marriedMC: 50,000 – 69,9992400
360HelmutCapshawHelmut.Capshaw@TROGON.EXAMPLE.COM01-AUG-77marriedMJ: 190,000 – 249,9993600
341KeirGeorgeKeir.George@VIREO.EXAMPLE.COM03-FEB-63marriedFE: 90,000 – 109,999700
342MarlonLaughtonMarlon.Laughton@CORMORANT.EXAMPLE.COM13-FEB-47singleFF: 110,000 – 129,9992400
343KeirChandarKeir.Chandar@WATERTHRUSH.EXAMPLE.COM04-MAR-60marriedMG: 130,000 – 149,999700
345KeirWeaverKeir.Weaver@WHIMBREL.EXAMPLE.COM04-APR-62marriedMH: 150,000 – 169,999700
346MarlonClaptonMarlon.Clapton@COWBIRD.EXAMPLE.COM13-APR-88marriedMK: 250,000 – 299,9992400
347KellyQuinlanKelly.Quinlan@PYRRHULOXIA.EXAMPLE.COM03-MAY-29marriedFA: Below 30,0003600
349KenGlennKen.Glenn@SAW-WHET.EXAMPLE.COM03-JUN-67marriedMK: 250,000 – 299,9993600
350KenChopraKen.Chopra@SCAUP.EXAMPLE.COM13-JUN-51singleFF: 110,000 – 129,9993600
351KenWendersKen.Wenders@REDPOLL.EXAMPLE.COM03-JUL-62marriedFF: 110,000 – 129,9993600
380MerylHoldenMeryl.Holden@DIPPER.EXAMPLE.COM10-OCT-61singleFH: 150,000 – 169,9993700
447RichardCoppolaRichard.Coppola@SISKIN.EXAMPLE.COM30-OCT-81marriedFC: 50,000 – 69,999500
448RichardWintersRichard.Winters@SNIPE.EXAMPLE.COM30-NOV-54marriedMF: 110,000 – 129,999500
450RickLyonRick.Lyon@MERGANSER.EXAMPLE.COM01-JAN-41marriedFF: 110,000 – 129,9991500
451RidleyHackmanRidley.Hackman@ANHINGA.EXAMPLE.COM11-JAN-50singleFH: 150,000 – 169,999700
452RidleyCoyoteRidley.Coyote@ANI.EXAMPLE.COM31-JAN-49marriedMF: 110,000 – 129,999700
454RobRussellRob.Russell@VERDIN.EXAMPLE.COM02-MAR-77marriedME: 90,000 – 109,9995000
458Robertde NiroRobert.deNiro@DOWITCHER.EXAMPLE.COM12-MAR-86singleFH: 150,000 – 169,9993700
466RodolfoHersheyRodolfo.Hershey@VIREO.EXAMPLE.COM11-APR-47singleMF: 110,000 – 129,9995000
467RodolfoDenchRodolfo.Dench@SCOTER.EXAMPLE.COM01-MAY-71marriedFF: 110,000 – 129,9995000
468RodolfoAltmanRodolfo.Altman@SHRIKE.EXAMPLE.COM11-MAY-83singleFF: 110,000 – 129,9995000
189GenaHarrisGena.Harris@PIPIT.EXAMPLE.COM30-JAN-55marriedMF: 110,000 – 129,9991200
190GenaCurtisGena.Curtis@PLOVER.EXAMPLE.COM09-FEB-82singleMJ: 190,000 – 249,9991200
191MaureenSandersMaureen.Sanders@PUFFIN.EXAMPLE.COM29-FEB-24marriedMA: Below 30,0001200
192SeanStockwellSean.Stockwell@PYRRHULOXIA.EXAMPLE.COM30-MAR-56marriedMI: 170,000 – 189,9991200
193Harry deanKinskiHarrydean.Kinski@REDPOLL.EXAMPLE.COM30-APR-55marriedMD: 70,000 – 89,9991200
194KathleenGarciaKathleen.Garcia@REDSTART.EXAMPLE.COM30-MAY-71marriedFI: 170,000 – 189,9991200
195SeanOlinSean.Olin@SCAUP.EXAMPLE.COM09-JUN-86singleFF: 110,000 – 129,9991200
196GerardDenchGerard.Dench@SCOTER.EXAMPLE.COM29-JUN-53marriedFE: 90,000 – 109,9991200
197GerardAltmanGerard.Altman@SHRIKE.EXAMPLE.COM08-JUL-84singleFF: 110,000 – 129,9991200
198Maureende FunesMaureen.deFunes@SISKIN.EXAMPLE.COM29-JUL-49marriedFD: 70,000 – 89,9991200
199ClintChapmanClint.Chapman@SNIPE.EXAMPLE.COM07-AUG-52singleFF: 110,000 – 129,9991400
200ClintGielgudClint.Gielgud@STILT.EXAMPLE.COM28-AUG-78marriedFE: 90,000 – 109,9991400
201EricPrashantEric.Prashant@TATTLER.EXAMPLE.COM27-SEP-43marriedFC: 50,000 – 69,9991400
202IngridWellesIngrid.Welles@TEAL.EXAMPLE.COM27-OCT-39marriedMD: 70,000 – 89,9991400
203IngridRamplingIngrid.Rampling@WIGEON.EXAMPLE.COM05-NOV-48singleMF: 110,000 – 129,9991400
204CliffPuriCliff.Puri@CORMORANT.EXAMPLE.COM26-NOV-61marriedMJ: 190,000 – 249,9991400
205EmilyPollackEmily.Pollack@DIPPER.EXAMPLE.COM06-DEC-55singleML: 300,000 and above1400
206FritzHackmanFritz.Hackman@DUNLIN.EXAMPLE.COM26-DEC-83marriedFG: 130,000 – 149,9991400
207CybillLaughtonCybill.Laughton@EIDER.EXAMPLE.COM04-JAN-89singleMF: 110,000 – 129,9991400
208CyndiGriemCyndi.Griem@GALLINULE.EXAMPLE.COM25-JAN-56marriedME: 90,000 – 109,9991400
209CyndiCollinsCyndi.Collins@GODWIT.EXAMPLE.COM04-FEB-46singleMD: 70,000 – 89,9991400
210CybillClaptonCybill.Clapton@GOLDENEYE.EXAMPLE.COM24-FEB-74marriedFD: 70,000 – 89,9991400
211LuchinoJordanLuchino.Jordan@GREBE.EXAMPLE.COM06-MAR-83singleFA: Below 30,0001500
213LuchinoBradfordLuchino.Bradford@PARULA.EXAMPLE.COM24-APR-76marriedMA: Below 30,0001500
214RobinDansonRobin.Danson@PHAINOPEPLA.EXAMPLE.COM05-MAY-46singleMF: 110,000 – 129,9991500
215OrsonPerkinsOrson.Perkins@PINTAIL.EXAMPLE.COM24-MAY-85marriedME: 90,000 – 109,9991900
216OrsonKoiralaOrson.Koirala@PIPIT.EXAMPLE.COM04-JUN-79singleFJ: 190,000 – 249,9991900
218BryanDvrrieBryan.Dvrrie@REDPOLL.EXAMPLE.COM04-JUL-66singleFG: 130,000 – 149,9992300
219AjaySenAjay.Sen@TROGON.EXAMPLE.COM13-JUL-77singleMK: 250,000 – 299,9992300
220CarolJordanCarol.Jordan@TURNSTONE.EXAMPLE.COM23-JUL-76marriedMI: 170,000 – 189,9992300
221CarolBradfordCarol.Bradford@VERDIN.EXAMPLE.COM02-AUG-53singleMG: 130,000 – 149,9992300
223CaryOlinCary.Olin@WATERTHRUSH.EXAMPLE.COM02-SEP-35singleMD: 70,000 – 89,9992300
224ClaraKrigeClara.Krige@WHIMBREL.EXAMPLE.COM22-SEP-59marriedMH: 150,000 – 169,9992300
225ClaraGanesanClara.Ganesan@WIGEON.EXAMPLE.COM02-OCT-59singleFI: 170,000 – 189,9992300
227KathyPrashantKathy.Prashant@ANI.EXAMPLE.COM01-NOV-83singleMJ: 190,000 – 249,9992400
228GrahamNeesonGraham.Neeson@AUKLET.EXAMPLE.COM20-NOV-41marriedME: 90,000 – 109,9992400
229IanChapmanIan.Chapman@AVOCET.EXAMPLE.COM30-NOV-65singleMD: 70,000 – 89,9992400
230DannyWrightDanny.Wright@BITTERN.EXAMPLE.COM20-DEC-48marriedMF: 110,000 – 129,9992400
232DonaldHunterDonald.Hunter@CHACHALACA.EXAMPLE.COM20-JAN-60marriedMG: 130,000 – 149,9992400
233GrahamSpielbergGraham.Spielberg@CHUKAR.EXAMPLE.COM29-JAN-70singleMD: 70,000 – 89,9992400
234DanRobertsDan.Roberts@NUTHATCH.EXAMPLE.COM18-FEB-73marriedMI: 170,000 – 189,9992400
235EdwardOatesEdward.Oates@OVENBIRD.EXAMPLE.COM21-MAR-55marriedME: 90,000 – 109,9992400
236EdwardJuliusEdward.Julius@PARULA.EXAMPLE.COM30-MAR-86singleMF: 110,000 – 129,9992400
237FarrahQuinlanFarrah.Quinlan@PHAINOPEPLA.EXAMPLE.COM19-APR-48marriedMA: Below 30,0002400
238FarrahLangeFarrah.Lange@PHALAROPE.EXAMPLE.COM19-MAY-81marriedMF: 110,000 – 129,9992400
239HalStockwellHal.Stockwell@PHOEBE.EXAMPLE.COM29-MAY-66singleMH: 150,000 – 169,9992400
240MalcolmKanthMalcolm.Kanth@PIPIT.EXAMPLE.COM19-JUN-55marriedFH: 150,000 – 169,9992400
241MalcolmBroderickMalcolm.Broderick@PLOVER.EXAMPLE.COM28-JUN-52singleMF: 110,000 – 129,9992400
242MaryLemmonMary.Lemmon@PUFFIN.EXAMPLE.COM18-JUL-62marriedMK: 250,000 – 299,9992400
243MaryCollinsMary.Collins@PYRRHULOXIA.EXAMPLE.COM18-AUG-55marriedFF: 110,000 – 129,9992400
244MattGueneyMatt.Gueney@REDPOLL.EXAMPLE.COM27-AUG-52singleMG: 130,000 – 149,9992400
245Maxvon SydowMax.vonSydow@REDSTART.EXAMPLE.COM07-SEP-67singleMK: 250,000 – 299,9992400
246MaxSchellMax.Schell@SANDERLING.EXAMPLE.COM16-SEP-84marriedMF: 110,000 – 129,9992400
247CyndaWhitcraftCynda.Whitcraft@SANDPIPER.EXAMPLE.COM16-OCT-54marriedMB: 30,000 – 49,9992400
248DonaldMinnelliDonald.Minnelli@SCAUP.EXAMPLE.COM26-OCT-53singleMF: 110,000 – 129,9992400
249HannahBroderickHannah.Broderick@SHRIKE.EXAMPLE.COM16-NOV-75marriedMD: 70,000 – 89,9992400
250DanWilliamsDan.Williams@SISKIN.EXAMPLE.COM25-NOV-84singleMA: Below 30,0002400
251RaulWilderRaul.Wilder@STILT.EXAMPLE.COM15-DEC-45marriedME: 90,000 – 109,9992500
252Shah RukhFieldShahRukh.Field@WHIMBREL.EXAMPLE.COM25-DEC-57singleMI: 170,000 – 189,9992500
253SallyBogartSally.Bogart@WILLET.EXAMPLE.COM14-JAN-85marriedMH: 150,000 – 169,9992500
254BruceBatesBruce.Bates@COWBIRD.EXAMPLE.COM25-JAN-40singleMD: 70,000 – 89,9993500
256Bende NiroBen.deNiro@KINGLET.EXAMPLE.COM24-FEB-80singleMI: 170,000 – 189,9993500
257EmmetWalkenEmmet.Walken@LIMPKIN.EXAMPLE.COM15-MAR-75marriedMB: 30,000 – 49,9993600
258EllenPalinEllen.Palin@LONGSPUR.EXAMPLE.COM14-APR-77marriedMH: 150,000 – 169,9993600
259Denholmvon SydowDenholm.vonSydow@MERGANSER.EXAMPLE.COM24-APR-43singleFD: 70,000 – 89,9993600
261EmmetGarciaEmmet.Garcia@VIREO.EXAMPLE.COM13-JUN-61marriedMH: 150,000 – 169,9993600
124DianeMasonDiane.Mason@TROGON.EXAMPLE.COM16-MAR-81marriedFK: 250,000 – 299,999200
125DianneAndrewsDianne.Andrews@TURNSTONE.EXAMPLE.COM27-MAR-59singleFF: 110,000 – 129,999200
126CharlesFieldCharles.Field@BECARD.EXAMPLE.COM16-APR-46marriedFF: 110,000 – 129,999300
128IsabellaReedIsabella.Reed@BRANT.EXAMPLE.COM16-MAY-54marriedFJ: 190,000 – 249,999300
129LouisJacksonLouis.Jackson@CARACARA.EXAMPLE.COM26-MAY-39singleMD: 70,000 – 89,999400
130LouisEdwardsLouis.Edwards@CHACHALACA.EXAMPLE.COM14-JUN-44marriedMC: 50,000 – 69,999400
131DorisDuttDoris.Dutt@CHUKAR.EXAMPLE.COM14-JUL-76marriedFC: 50,000 – 69,999400
133KristinMaldenKristin.Malden@GODWIT.EXAMPLE.COM14-AUG-50marriedFC: 50,000 – 69,999400
134SissyPuriSissy.Puri@GREBE.EXAMPLE.COM12-SEP-72marriedFF: 110,000 – 129,999400
135DorisBel GeddesDoris.BelGeddes@GROSBEAK.EXAMPLE.COM22-SEP-80singleFB: 30,000 – 49,999400
136SissyWardenSissy.Warden@JACANA.EXAMPLE.COM12-OCT-44marriedFF: 110,000 – 129,999400
138ManiFondaMani.Fonda@KINGLET.EXAMPLE.COM11-NOV-77marriedMF: 110,000 – 129,999500
139PlacidoKubrickPlacido.Kubrick@SCOTER.EXAMPLE.COM22-NOV-42singleMF: 110,000 – 129,999500
140ClaudiaKurosawaClaudia.Kurosawa@CHUKAR.EXAMPLE.COM11-DEC-81marriedME: 90,000 – 109,999500
141MaximilianHennerMaximilian.Henner@DUNLIN.EXAMPLE.COM21-DEC-73singleMH: 150,000 – 169,999500
143SachinNeesonSachin.Neeson@GALLINULE.EXAMPLE.COM20-JAN-62singleMF: 110,000 – 129,999500
767Klaus MariaRussellKlausMaria.Russell@COOT.EXAMPLE.COM20-JAN-70marriedMC: 50,000 – 69,999100
771Krisde NiroKris.deNiro@DUNLIN.EXAMPLE.COM21-MAR-77marriedME: 90,000 – 109,999400
826AlainBarkinAlain.Barkin@VERDIN.EXAMPLE.COM20-MAY-69marriedMA: Below 30,000500
830AlbertDuttAlbert.Dutt@CURLEW.EXAMPLE.COM29-AUG-47singleMF: 110,000 – 129,9993500
850AmandaFinneyAmanda.Finney@STILT.EXAMPLE.COM23-AUG-91singleMJ: 190,000 – 249,9992300
905BillyHersheyBilly.Hershey@BULBUL.EXAMPLE.COM22-OCT-87singleFG: 130,000 – 149,9991400
911BoDickinsonBo.Dickinson@TANAGER.EXAMPLE.COM11-DEC-81marriedMH: 150,000 – 169,9995000
919BrookeMichalkowBrooke.Michalkow@GROSBEAK.EXAMPLE.COM19-FEB-62singleMD: 70,000 – 89,9993500
924BrunoMontandBruno.Montand@TOWHEE.EXAMPLE.COM20-APR-34singleFD: 70,000 – 89,9995000
930BusterJacksonBuster.Jackson@KILLDEER.EXAMPLE.COM08-JUL-24marriedMA: Below 30,000900
980DanielLorenDaniel.Loren@REDSTART.EXAMPLE.COM17-SEP-70singleMF: 110,000 – 129,999200
473RolfAshbyRolf.Ashby@WATERTHRUSH.EXAMPLE.COM10-JUN-49singleMG: 130,000 – 149,9995000
474RomySharifRomy.Sharif@SNIPE.EXAMPLE.COM29-JUN-76marriedMF: 110,000 – 129,9995000
475RomyMcCarthyRomy.McCarthy@STILT.EXAMPLE.COM10-JUL-33singleFD: 70,000 – 89,9995000
476RosanneHopkinsRosanne.Hopkins@ANI.EXAMPLE.COM30-JUL-79marriedMD: 70,000 – 89,999300
477RosanneDouglasRosanne.Douglas@ANHINGA.EXAMPLE.COM09-AUG-70singleFF: 110,000 – 129,999300
478RosanneBaldwinRosanne.Baldwin@AUKLET.EXAMPLE.COM29-AUG-67marriedFA: Below 30,000300
479RoxanneShepherdRoxanne.Shepherd@DUNLIN.EXAMPLE.COM08-SEP-63singleFI: 170,000 – 189,9991200
480RoxanneMichalkowRoxanne.Michalkow@EIDER.EXAMPLE.COM18-SEP-73singleML: 300,000 and above1200
481RoyHulceRoy.Hulce@SISKIN.EXAMPLE.COM28-SEP-67marriedFE: 90,000 – 109,9995000
482RoyDunawayRoy.Dunaway@WHIMBREL.EXAMPLE.COM28-OCT-55marriedFF: 110,000 – 129,9995000
483RoyBatesRoy.Bates@WIGEON.EXAMPLE.COM07-NOV-42singleMG: 130,000 – 149,9995000
487RufusDvrrieRufus.Dvrrie@PLOVER.EXAMPLE.COM26-NOV-60marriedMJ: 190,000 – 249,9991900
488RufusBelushiRufus.Belushi@PUFFIN.EXAMPLE.COM26-DEC-52marriedMG: 130,000 – 149,9991900
492SallyEdwardsSally.Edwards@TURNSTONE.EXAMPLE.COM06-JAN-80marriedFK: 250,000 – 299,9992500
496ScottJordanScott.Jordan@WILLET.EXAMPLE.COM25-JAN-45marriedFG: 130,000 – 149,9995000
605ShammiPacinoShammi.Pacino@BITTERN.EXAMPLE.COM05-FEB-59singleFB: 30,000 – 49,999500
606SharmilaKazanSharmila.Kazan@BRANT.EXAMPLE.COM25-FEB-38marriedFD: 70,000 – 89,999500
609ShelleyTaylorShelley.Taylor@CURLEW.EXAMPLE.COM26-MAR-57marriedFI: 170,000 – 189,9993700
615ShyamPlummerShyam.Plummer@VEERY.EXAMPLE.COM25-APR-69marriedMJ: 190,000 – 249,9992500
621SilkKurosawaSilk.Kurosawa@NUTHATCH.EXAMPLE.COM05-MAY-84singleFG: 130,000 – 149,9991500
712M. EmmetStockwellM.Emmet.Stockwell@COOT.EXAMPLE.COM05-JUN-83singleMH: 150,000 – 169,9993700
713M. EmmetOlinM.Emmet.Olin@CORMORANT.EXAMPLE.COM24-JUN-48marriedFF: 110,000 – 129,9993700
717MammuttiSutherlandMammutti.Sutherland@TOWHEE.EXAMPLE.COM25-JUL-74marriedMD: 70,000 – 89,999500
719ManiKazanMani.Kazan@TROGON.EXAMPLE.COM04-AUG-62singleMI: 170,000 – 189,999500
721ManiBuckleyMani.Buckley@TURNSTONE.EXAMPLE.COM23-AUG-44marriedME: 90,000 – 109,999500
729MargauxKrigeMargaux.Krige@DUNLIN.EXAMPLE.COM23-SEP-42marriedMF: 110,000 – 129,9992400
731MargauxCapshawMargaux.Capshaw@EIDER.EXAMPLE.COM02-OCT-33singleMB: 30,000 – 49,9992400
754KevinGoodmanKevin.Goodman@WIGEON.EXAMPLE.COM22-OCT-48marriedME: 90,000 – 109,999700
756KevinWilderKevin.Wilder@AUKLET.EXAMPLE.COM02-DEC-86singleMG: 130,000 – 149,999700
757KieferReynoldsKiefer.Reynolds@AVOCET.EXAMPLE.COM21-DEC-53marriedMF: 110,000 – 129,999700
766KlausYoungKlaus.Young@OVENBIRD.EXAMPLE.COM01-JAN-55singleMH: 150,000 – 169,999600
768Klaus MariaMacLaineKlausMaria.MacLaine@CHUKAR.EXAMPLE.COM31-JAN-80singleMA: Below 30,000100
769KrisHarrisKris.Harris@DIPPER.EXAMPLE.COM19-FEB-49marriedMG: 130,000 – 149,999400
770KrisCurtisKris.Curtis@DOWITCHER.EXAMPLE.COM02-MAR-55singleMK: 250,000 – 299,999400
772KristinSavageKristin.Savage@CURLEW.EXAMPLE.COM01-APR-43singleFF: 110,000 – 129,999400
782LaurenceSeignierLaurence.Seignier@CREEPER.EXAMPLE.COM21-APR-83marriedMF: 110,000 – 129,9991200
825AlainDreyfussAlain.Dreyfuss@VEERY.EXAMPLE.COM30-APR-76singleMJ: 190,000 – 249,999500
827AlainSiegelAlain.Siegel@VIREO.EXAMPLE.COM19-JUN-73marriedFI: 170,000 – 189,999500
828AlanMinnelliAlan.Minnelli@TANAGER.EXAMPLE.COM20-JUL-55marriedMD: 70,000 – 89,9992300
829AlanHunterAlan.Hunter@TATTLER.EXAMPLE.COM19-AUG-59marriedMI: 170,000 – 189,9992300
831AlbertBel GeddesAlbert.BelGeddes@DIPPER.EXAMPLE.COM17-SEP-52marriedME: 90,000 – 109,9993500
832AlbertSpacekAlbert.Spacek@DOWITCHER.EXAMPLE.COM27-SEP-76singleMF: 110,000 – 129,9993500
833AlecMoranisAlec.Moranis@DUNLIN.EXAMPLE.COM17-OCT-34marriedMD: 70,000 – 89,9993500
834AlecIdleAlec.Idle@EIDER.EXAMPLE.COM27-OCT-64singleMF: 110,000 – 129,9993500
835AlexanderEastwoodAlexander.Eastwood@AVOCET.EXAMPLE.COM16-NOV-42marriedFE: 90,000 – 109,9991200
836AlexanderBerengerAlexander.Berenger@BECARD.EXAMPLE.COM16-DEC-52marriedFC: 50,000 – 69,9991200
837AlexanderStantonAlexander.Stanton@AUKLET.EXAMPLE.COM15-JAN-65marriedFD: 70,000 – 89,9991200
838AlfredNicholsonAlfred.Nicholson@CREEPER.EXAMPLE.COM25-JAN-85singleMF: 110,000 – 129,9993500
839AlfredJohnsonAlfred.Johnson@FLICKER.EXAMPLE.COM14-FEB-57marriedMJ: 190,000 – 249,9993500
840AliElliottAli.Elliott@ANHINGA.EXAMPLE.COM16-MAR-51marriedMG: 130,000 – 149,9991400
841AliBoyerAli.Boyer@WILLET.EXAMPLE.COM26-MAR-51singleMF: 110,000 – 129,9991400
842AliSternAli.Stern@YELLOWTHROAT.EXAMPLE.COM15-APR-77marriedME: 90,000 – 109,9991400
843AliceOatesAlice.Oates@BECARD.EXAMPLE.COM25-APR-59singleFD: 70,000 – 89,999700
844AliceJuliusAlice.Julius@BITTERN.EXAMPLE.COM15-MAY-44marriedFD: 70,000 – 89,999700
845AllyFawcettAlly.Fawcett@PLOVER.EXAMPLE.COM25-MAY-44singleFA: Below 30,0005000
846AllyBrandoAlly.Brando@PINTAIL.EXAMPLE.COM14-JUN-62marriedFL: 300,000 and above5000
847AllyStreepAlly.Streep@PIPIT.EXAMPLE.COM14-JUL-42marriedMA: Below 30,0005000
848AlonsoOlmosAlonso.Olmos@PHALAROPE.EXAMPLE.COM24-JUL-48singleFF: 110,000 – 129,9991800
849AlonsoKaurusmdkiAlonso.Kaurusmdki@PHOEBE.EXAMPLE.COM13-AUG-80marriedFE: 90,000 – 109,9991800
851AmandaBrownAmanda.Brown@THRASHER.EXAMPLE.COM12-SEP-51marriedFB: 30,000 – 49,9992300
852AmandaTannerAmanda.Tanner@TEAL.EXAMPLE.COM22-SEP-53singleFG: 130,000 – 149,9992300
853AmrishPalinAmrish.Palin@EIDER.EXAMPLE.COM12-OCT-77marriedFI: 170,000 – 189,999400
906BillyDenchBilly.Dench@CARACARA.EXAMPLE.COM11-NOV-58marriedMI: 170,000 – 189,9991400
909BlakeMastroianniBlake.Mastroianni@FLICKER.EXAMPLE.COM21-NOV-49singleMD: 70,000 – 89,9991200
912BoAshbyBo.Ashby@TATTLER.EXAMPLE.COM21-DEC-56singleMI: 170,000 – 189,9995000
913BobSharifBob.Sharif@TEAL.EXAMPLE.COM10-JAN-85marriedMF: 110,000 – 129,9995000
916BrianDouglasBrian.Douglas@AVOCET.EXAMPLE.COM20-JAN-78singleMJ: 190,000 – 249,999500
917BrianBaldwinBrian.Baldwin@BECARD.EXAMPLE.COM09-FEB-75marriedME: 90,000 – 109,999500
920BruceHulceBruce.Hulce@JACANA.EXAMPLE.COM10-MAR-72marriedMF: 110,000 – 129,9993500
921BruceDunawayBruce.Dunaway@JUNCO.EXAMPLE.COM20-MAR-48singleFF: 110,000 – 129,9993500
923BrunoSlaterBruno.Slater@THRASHER.EXAMPLE.COM09-APR-60marriedFG: 130,000 – 149,9995000
927BryanBelushiBryan.Belushi@TOWHEE.EXAMPLE.COM10-MAY-61marriedMI: 170,000 – 189,9992300
928BurtSpielbergBurt.Spielberg@TROGON.EXAMPLE.COM09-JUN-54marriedME: 90,000 – 109,9995000
929BurtNeesonBurt.Neeson@TURNSTONE.EXAMPLE.COM19-JUN-78singleMF: 110,000 – 129,9995000
931BusterEdwardsBuster.Edwards@KINGLET.EXAMPLE.COM08-AUG-47marriedMF: 110,000 – 129,999900
932BusterBogartBuster.Bogart@KISKADEE.EXAMPLE.COM17-AUG-52singleMH: 150,000 – 169,999900
934C. ThomasNolteC.Thomas.Nolte@PHOEBE.EXAMPLE.COM07-SEP-59marriedMH: 150,000 – 169,999600
981DanielGueneyDaniel.Gueney@REDPOLL.EXAMPLE.COM07-OCT-73marriedMK: 250,000 – 299,999200
123ElizabethBrownElizabeth.Brown@THRASHER.EXAMPLE.COM24-FEB-49singleFF: 110,000 – 129,999200
127CharlesBroderickCharles.Broderick@BITTERN.EXAMPLE.COM26-APR-43singleFB: 30,000 – 49,999300
132DorisSpacekDoris.Spacek@FLICKER.EXAMPLE.COM25-JUL-87singleMH: 150,000 – 169,999400
137EliaBrandoElia.Brando@JUNCO.EXAMPLE.COM23-OCT-51singleMH: 150,000 – 169,999500
142SachinSpielbergSachin.Spielberg@GADWALL.EXAMPLE.COM11-JAN-71marriedMC: 50,000 – 69,999500
163ErnestChandarErnest.Chandar@LIMPKIN.EXAMPLE.COM16-DEC-62singleMH: 150,000 – 169,999900
168HemaVoightHema.Voight@PHALAROPE.EXAMPLE.COM16-MAR-50singleMH: 150,000 – 169,9991200
173KathleenWalkenKathleen.Walken@VIREO.EXAMPLE.COM04-JUN-73marriedFE: 90,000 – 109,9991200
178GraceBelushiGrace.Belushi@KILLDEER.EXAMPLE.COM02-SEP-86marriedMH: 150,000 – 169,9991200
182LaurenDenchLauren.Dench@LONGSPUR.EXAMPLE.COM22-OCT-75singleMK: 250,000 – 299,9991200
187GraceDvrrieGrace.Dvrrie@PHOEBE.EXAMPLE.COM31-DEC-48marriedFE: 90,000 – 109,9991200
212LuchinoFalkLuchino.Falk@OVENBIRD.EXAMPLE.COM25-MAR-72marriedML: 300,000 and above1500
217BryanHustonBryan.Huston@PYRRHULOXIA.EXAMPLE.COM23-JUN-73marriedFB: 30,000 – 49,9992300
222CaryStockwellCary.Stockwell@VIREO.EXAMPLE.COM23-AUG-63marriedMI: 170,000 – 189,9992300
226AjayAndrewsAjay.Andrews@YELLOWTHROAT.EXAMPLE.COM21-OCT-56marriedMF: 110,000 – 129,9992300
231DannyRourkeDanny.Rourke@BRANT.EXAMPLE.COM31-DEC-47singleMF: 110,000 – 129,9992400
255BrookeShepherdBrooke.Shepherd@KILLDEER.EXAMPLE.COM13-FEB-85marriedMC: 50,000 – 69,9993500
260EllenKhanEllen.Khan@VERDIN.EXAMPLE.COM14-MAY-62marriedMF: 110,000 – 129,9993600
264GeorgeAdjaniGeorge.Adjani@WILLET.EXAMPLE.COM12-AUG-47marriedFF: 110,000 – 129,9993600
269KyleMartinKyle.Martin@EIDER.EXAMPLE.COM11-OCT-58marriedFD: 70,000 – 89,9993700
273BoHitchcockBo.Hitchcock@ANHINGA.EXAMPLE.COM09-JAN-54marriedME: 90,000 – 109,9995000
339MarilouLandisMarilou.Landis@TATTLER.EXAMPLE.COM13-JAN-33singleMA: Below 30,000500
344MarlonGodardMarlon.Godard@MOORHEN.EXAMPLE.COM14-MAR-60singleMH: 150,000 – 169,9992400
348KellyLangeKelly.Lange@SANDPIPER.EXAMPLE.COM14-MAY-71singleMF: 110,000 – 129,9993600
352KennethRedfordKenneth.Redford@REDSTART.EXAMPLE.COM13-JUL-71singleFB: 30,000 – 49,9993600
378MegSenMeg.Sen@COWBIRD.EXAMPLE.COM30-SEP-53marriedMC: 50,000 – 69,9993700
449RickRomeroRick.Romero@LONGSPUR.EXAMPLE.COM10-DEC-51singleFB: 30,000 – 49,9991500
453RidleyYoungRidley.Young@CHUKAR.EXAMPLE.COM10-FEB-45singleMF: 110,000 – 129,999700
463RobinAdjaniRobin.Adjani@MOORHEN.EXAMPLE.COM01-APR-49marriedFC: 50,000 – 69,9991500
470RogerMastroianniRoger.Mastroianni@CREEPER.EXAMPLE.COM31-MAY-67marriedML: 300,000 and above3700
607SharmilaFondaSharmila.Fonda@BUFFLEHEAD.EXAMPLE.COM06-MAR-49singleFH: 150,000 – 169,999500
627SivajiGielgudSivaji.Gielgud@BULBUL.EXAMPLE.COM25-MAY-49marriedFD: 70,000 – 89,999500
715MalcolmFieldMalcolm.Field@DOWITCHER.EXAMPLE.COM05-JUL-51singleFG: 130,000 – 149,9992400
727MargaretUstinovMargaret.Ustinov@ANHINGA.EXAMPLE.COM02-SEP-49singleMH: 150,000 – 169,9991200
755KevinClevelandKevin.Cleveland@WILLET.EXAMPLE.COM21-NOV-81marriedMH: 150,000 – 169,999700
customer_idcust_first_namecust_last_namecust_emaildate_of_birthmarital_statusgenderincome_levelcredit_limitorder_counttotal_saleaverage_saleminimum_salemaximum_sale
144SivajiLandisSivaji.Landis@GOLDENEYE.EXAMPLE.COM09-FEB-70marriedMF: 110,000 – 129,9995005160284.632056.925537.871173
145MammuttiPacinoMammutti.Pacino@GREBE.EXAMPLE.COM19-FEB-46singleMF: 110,000 – 129,999500571717.914343.58138836374.7
146EliaFawcettElia.Fawcett@JACANA.EXAMPLE.COM12-MAR-63marriedFL: 300,000 and above500588462.617692.528629249.1
147IshwaryaRobertsIshwarya.Roberts@LAPWING.EXAMPLE.COM21-MAR-44singleFG: 130,000 – 149,9996005371278.274255.641500.8295892
148GustavSteenburgenGustav.Steenburgen@PINTAIL.EXAMPLE.COM10-APR-50marriedMF: 110,000 – 129,9996005185700.537140.12854.2144054.8
149MarkusRamplingMarkus.Rampling@PUFFIN.EXAMPLE.COM20-APR-41singleMD: 70,000 – 89,9996005403119.780623.949055268651.8
150GoldieSlaterGoldie.Slater@PYRRHULOXIA.EXAMPLE.COM11-MAY-51marriedMD: 70,000 – 89,9997001282694.3282694.3282694.3282694.3
151DivineAykroydDivine.Aykroyd@REDSTART.EXAMPLE.COM20-MAY-76singleMF: 110,000 – 129,999700117620176201762017620
152DieterMatthauDieter.Matthau@VERDIN.EXAMPLE.COM09-JUN-22marriedMA: Below 30,00070017616.87616.87616.87616.8
153DivineSheenDivine.Sheen@COWBIRD.EXAMPLE.COM20-JUN-67singleMI: 170,000 – 189,999700148070.648070.648070.648070.6
154FredericGrodinFrederic.Grodin@CREEPER.EXAMPLE.COM29-JUN-65singleFL: 300,000 and above700126632266322663226632
155FredericoRomeroFrederico.Romero@CURLEW.EXAMPLE.COM09-JUL-42marriedME: 90,000 – 109,999700123431.923431.923431.923431.9
156GoldieMontandGoldie.Montand@DIPPER.EXAMPLE.COM09-AUG-55marriedFF: 110,000 – 129,999700168501685016850168501
157SidneyCapshawSidney.Capshaw@DUNLIN.EXAMPLE.COM18-AUG-69singleMG: 130,000 – 149,99970017110.37110.37110.37110.3
158FredericoLyonFrederico.Lyon@FLICKER.EXAMPLE.COM07-SEP-70marriedMJ: 190,000 – 249,999700125270.325270.325270.325270.3
159EddieBoyerEddie.Boyer@GALLINULE.EXAMPLE.COM07-OCT-53marriedMG: 130,000 – 149,999700169286.469286.469286.469286.4
160EddieSternEddie.Stern@GODWIT.EXAMPLE.COM06-NOV-50marriedMG: 130,000 – 149,9997001969.2969.2969.2969.2
161ErnestWeaverErnest.Weaver@GROSBEAK.EXAMPLE.COM16-NOV-42singleMB: 30,000 – 49,9999001600600600600
162ErnestGeorgeErnest.George@LAPWING.EXAMPLE.COM07-DEC-75marriedMD: 70,000 – 89,9999001220220220220
164CharlotteKazanCharlotte.Kazan@MERGANSER.EXAMPLE.COM05-JAN-54marriedMI: 170,000 – 189,999120011233123312331233
165CharlotteFondaCharlotte.Fonda@MOORHEN.EXAMPLE.COM05-FEB-56marriedMJ: 190,000 – 249,999120012519251925192519
166DheerajAlexanderDheeraj.Alexander@NUTHATCH.EXAMPLE.COM14-FEB-50singleFG: 130,000 – 149,99912001309309309309
167GerardHersheyGerard.Hershey@PARULA.EXAMPLE.COM06-MAR-48marriedMD: 70,000 – 89,9991200148484848
169DheerajDavisDheeraj.Davis@PIPIT.EXAMPLE.COM05-APR-81marriedFF: 110,000 – 129,9991200115760.515760.515760.515760.5
170Harry DeanFondaHarryDean.Fonda@PLOVER.EXAMPLE.COM15-APR-88singleMG: 130,000 – 149,9991200166816668166681666816
101ConstantinWellesConstantin.Welles@ANHINGA.EXAMPLE.COM20-FEB-72marriedMB: 30,000 – 49,9991004190395.147598.77529669.978279.6
102HarrisonPacinoHarrison.Pacino@ANI.EXAMPLE.COM02-MAR-53singleMI: 170,000 – 189,999100469211.417302.855610.642283.2
103ManishaTaylorManisha.Taylor@AUKLET.EXAMPLE.COM22-MAR-83marriedFH: 150,000 – 169,999100420591.45147.857813550
104HarrisonSutherlandHarrison.Sutherland@GODWIT.EXAMPLE.COM31-MAR-72singleFH: 150,000 – 169,9991004146605.536651.37538494513.5
105MatthiasMacGrawMatthias.MacGraw@GOLDENEYE.EXAMPLE.COM21-APR-69marriedFC: 50,000 – 69,999100461376.515344.1251926.629473.8
106MatthiasHannahMatthias.Hannah@GREBE.EXAMPLE.COM30-APR-60singleMF: 110,000 – 129,999100436199.59049.8752075.223034.6
107MatthiasCruiseMatthias.Cruise@GROSBEAK.EXAMPLE.COM21-MAY-69marriedFG: 130,000 – 149,9991004155613.238903.3990.470576.9
108MeenakshiMasonMeenakshi.Mason@JACANA.EXAMPLE.COM20-JUN-57marriedMH: 150,000 – 169,9991004213399.753349.9253646120131.3
109ChristianCageChristian.Cage@KINGLET.EXAMPLE.COM30-JUN-38singleMF: 110,000 – 129,9991004265255.666313.92186392829.4
116GeraldineMartinGeraldine.Martin@SCOTER.EXAMPLE.COM28-OCT-27singleMA: Below 30,0002004323078076.7512914685.8
117GuillaumeEdwardsGuillaume.Edwards@SHRIKE.EXAMPLE.COM16-NOV-52marriedME: 90,000 – 109,9992004157808.739452.175126103679.3
118MauriceMahoneyMaurice.Mahoney@SNIPE.EXAMPLE.COM27-NOV-66singleMF: 110,000 – 129,9992002100991.850495.921586.279405.6
119MauriceHasanMaurice.Hasan@STILT.EXAMPLE.COM17-DEC-65marriedMG: 130,000 – 149,999200116447.216447.216447.216447.2
120DianeHigginsDiane.Higgins@TANAGER.EXAMPLE.COM26-DEC-84singleMH: 150,000 – 169,9992001416416416416
121DianneSenDianne.Sen@TATTLER.EXAMPLE.COM15-JAN-53marriedMH: 150,000 – 169,99920014797479747974797
122MauriceDaltreyMaurice.Daltrey@TEAL.EXAMPLE.COM15-FEB-43marriedMA: Below 30,0002001103834.4103834.4103834.4103834.4
141MaximilianHennerMaximilian.Henner@DUNLIN.EXAMPLE.COM21-DEC-73singleMH: 150,000 – 169,999500138017.838017.838017.838017.8
143SachinNeesonSachin.Neeson@GALLINULE.EXAMPLE.COM20-JAN-62singleMF: 110,000 – 129,999500127132.627132.627132.627132.6
123ElizabethBrownElizabeth.Brown@THRASHER.EXAMPLE.COM24-FEB-49singleFF: 110,000 – 129,999200111006.211006.211006.211006.2
142SachinSpielbergSachin.Spielberg@GADWALL.EXAMPLE.COM11-JAN-71marriedMC: 50,000 – 69,999500125691.325691.325691.325691.3
163ErnestChandarErnest.Chandar@LIMPKIN.EXAMPLE.COM16-DEC-62singleMH: 150,000 – 169,9999001510510510510
168HemaVoightHema.Voight@PHALAROPE.EXAMPLE.COM16-MAR-50singleMH: 150,000 – 169,9991200145175451754517545175

To acquire a deeper understanding of common table expressions and explore additional real-world examples, see my common table expressions page.

Views
A view contains a result set that is dynamically generated upon reference with the result set based on the view’s query specification. That is, when a view is referenced, the query defined for the view is executed. Because the underlying query defined by the view can be used by simply referencing the view name in the FROM clause, a user is afforded the ability to quickly generate the output for the pre-defined query. Additionally, for those less informed on SQL usage, this is fantastic because the complexities of generating the desired output have been heavily reduced. Let’s walk through a real-world example to further illustrate the power of views.

Consider the task of generating a report containing important dates and milestones for each employee. This task may seem familiar as it was explored when discussing the SELECT clause. The difference here is the query required to generate the report will serve as the view’s definition. In the code below, a view named “employee_milestone” is created and the query required to generate the desired report is specified.

CREATE OR REPLACE VIEW employee_milestone AS
    SELECT
        hr.employees.employee_id,
        hr.employees.hire_date,
        hr.employees.hire_date + 30 AS benefits_eligible_date,
        hr.employees.hire_date + 90 AS ninety_day_review,
        ADD_MONTHS(hr.employees.hire_date, 12) AS one_year_anniversary,
        ADD_MONTHS(hr.employees.hire_date, 60) AS five_year_anniversay
    FROM
        hr.employees
;

It is important to reinforce the fact that the result set generated is not stored in the view; however, the specification relied upon by the database is. Using the code below, the query defining the view can be retrieved. For clarity, see the output following the code.

SELECT
    all_views.text
FROM
    all_views
WHERE
    all_views.view_name = 'EMPLOYEE_MILESTONE';
TEXT
SELECT
hr.employees.employee_id,
hr.employees.hire_date,
hr.employees.hire_date + 30 AS benefits_eligible_date,
hr.employees.hire_date + 90 AS ninety_day_review,
ADD_MONTHS(hr.employees.hire_date, 12) AS one_year_anniversary,
ADD_MONTHS(hr.employees.hire_date, 60) AS five_year_anniversay
FROM
hr.employees

As a result of creating the view, a user can generate the report using the simplified code below. Notice, the user no longer needs to have an understanding on built-in functions or date arithmetic.

SELECT 
    *
FROM
    employee_milestone;
employee_idhire_datebenefits_eligible_dateninety_day_reviewone_year_anniversaryfive_year_anniversary
10017-JUN-0317-JUL-0315-SEP-0317-JUN-0417-JUN-08
10121-SEP-0521-OCT-0520-DEC-0521-SEP-0621-SEP-10
10213-JAN-0112-FEB-0113-APR-0113-JAN-0213-JAN-06
10303-JAN-0602-FEB-0603-APR-0603-JAN-0703-JAN-11
10421-MAY-0720-JUN-0719-AUG-0721-MAY-0821-MAY-12
10525-JUN-0525-JUL-0523-SEP-0525-JUN-0625-JUN-10
10605-FEB-0607-MAR-0606-MAY-0605-FEB-0705-FEB-11
10707-FEB-0709-MAR-0708-MAY-0707-FEB-0807-FEB-12
10817-AUG-0216-SEP-0215-NOV-0217-AUG-0317-AUG-07
10916-AUG-0215-SEP-0214-NOV-0216-AUG-0316-AUG-07
11028-SEP-0528-OCT-0527-DEC-0528-SEP-0628-SEP-10
11130-SEP-0530-OCT-0529-DEC-0530-SEP-0630-SEP-10
11207-MAR-0606-APR-0605-JUN-0607-MAR-0707-MAR-11
11307-DEC-0706-JAN-0806-MAR-0807-DEC-0807-DEC-12
11407-DEC-0206-JAN-0307-MAR-0307-DEC-0307-DEC-07
11518-MAY-0317-JUN-0316-AUG-0318-MAY-0418-MAY-08
11624-DEC-0523-JAN-0624-MAR-0624-DEC-0624-DEC-10
11724-JUL-0523-AUG-0522-OCT-0524-JUL-0624-JUL-10
11815-NOV-0615-DEC-0613-FEB-0715-NOV-0715-NOV-11
11910-AUG-0709-SEP-0708-NOV-0710-AUG-0810-AUG-12
12018-JUL-0417-AUG-0416-OCT-0418-JUL-0518-JUL-09
12110-APR-0510-MAY-0509-JUL-0510-APR-0610-APR-10
12201-MAY-0331-MAY-0330-JUL-0301-MAY-0401-MAY-08
12310-OCT-0509-NOV-0508-JAN-0610-OCT-0610-OCT-10
12416-NOV-0716-DEC-0714-FEB-0816-NOV-0816-NOV-12
12516-JUL-0515-AUG-0514-OCT-0516-JUL-0616-JUL-10
12628-SEP-0628-OCT-0627-DEC-0628-SEP-0728-SEP-11
12714-JAN-0713-FEB-0714-APR-0714-JAN-0814-JAN-12
12808-MAR-0807-APR-0806-JUN-0808-MAR-0908-MAR-13
12920-AUG-0519-SEP-0518-NOV-0520-AUG-0620-AUG-10
13030-OCT-0529-NOV-0528-JAN-0630-OCT-0630-OCT-10
13116-FEB-0518-MAR-0517-MAY-0516-FEB-0616-FEB-10
13210-APR-0710-MAY-0709-JUL-0710-APR-0810-APR-12
13314-JUN-0414-JUL-0412-SEP-0414-JUN-0514-JUN-09
13426-AUG-0625-SEP-0624-NOV-0626-AUG-0726-AUG-11
13512-DEC-0711-JAN-0811-MAR-0812-DEC-0812-DEC-12
13606-FEB-0807-MAR-0806-MAY-0806-FEB-0906-FEB-13
13714-JUL-0313-AUG-0312-OCT-0314-JUL-0414-JUL-08
13826-OCT-0525-NOV-0524-JAN-0626-OCT-0626-OCT-10
13912-FEB-0614-MAR-0613-MAY-0612-FEB-0712-FEB-11
14006-APR-0606-MAY-0605-JUL-0606-APR-0706-APR-11
14117-OCT-0316-NOV-0315-JAN-0417-OCT-0417-OCT-08
14229-JAN-0528-FEB-0529-APR-0529-JAN-0629-JAN-10
14315-MAR-0614-APR-0613-JUN-0615-MAR-0715-MAR-11
14409-JUL-0608-AUG-0607-OCT-0609-JUL-0709-JUL-11
14501-OCT-0431-OCT-0430-DEC-0401-OCT-0501-OCT-09
14605-JAN-0504-FEB-0505-APR-0505-JAN-0605-JAN-10
14710-MAR-0509-APR-0508-JUN-0510-MAR-0610-MAR-10
14815-OCT-0714-NOV-0713-JAN-0815-OCT-0815-OCT-12
14929-JAN-0828-FEB-0828-APR-0829-JAN-0929-JAN-13
15030-JAN-0501-MAR-0530-APR-0530-JAN-0630-JAN-10
15124-MAR-0523-APR-0522-JUN-0524-MAR-0624-MAR-10
15220-AUG-0519-SEP-0518-NOV-0520-AUG-0620-AUG-10
15330-MAR-0629-APR-0628-JUN-0630-MAR-0730-MAR-11
15409-DEC-0608-JAN-0709-MAR-0709-DEC-0709-DEC-11
15523-NOV-0723-DEC-0721-FEB-0823-NOV-0823-NOV-12
15630-JAN-0429-FEB-0429-APR-0430-JAN-0530-JAN-09
15704-MAR-0403-APR-0402-JUN-0404-MAR-0504-MAR-09
15801-AUG-0431-AUG-0430-OCT-0401-AUG-0501-AUG-09
15910-MAR-0509-APR-0508-JUN-0510-MAR-0610-MAR-10
16015-DEC-0514-JAN-0615-MAR-0615-DEC-0615-DEC-10
16103-NOV-0603-DEC-0601-FEB-0703-NOV-0703-NOV-11
16211-NOV-0511-DEC-0509-FEB-0611-NOV-0611-NOV-10
16319-MAR-0718-APR-0717-JUN-0719-MAR-0819-MAR-12
16424-JAN-0823-FEB-0823-APR-0824-JAN-0924-JAN-13
16523-FEB-0824-MAR-0823-MAY-0823-FEB-0923-FEB-13
16624-MAR-0823-APR-0822-JUN-0824-MAR-0924-MAR-13
16721-APR-0821-MAY-0820-JUL-0821-APR-0921-APR-13
16811-MAR-0510-APR-0509-JUN-0511-MAR-0611-MAR-10
16923-MAR-0622-APR-0621-JUN-0623-MAR-0723-MAR-11
17024-JAN-0623-FEB-0624-APR-0624-JAN-0724-JAN-11
17123-FEB-0725-MAR-0724-MAY-0723-FEB-0823-FEB-12
17224-MAR-0723-APR-0722-JUN-0724-MAR-0824-MAR-12
17321-APR-0821-MAY-0820-JUL-0821-APR-0921-APR-13
17411-MAY-0410-JUN-0409-AUG-0411-MAY-0511-MAY-09
17519-MAR-0518-APR-0517-JUN-0519-MAR-0619-MAR-10
17624-MAR-0623-APR-0622-JUN-0624-MAR-0724-MAR-11
17723-APR-0623-MAY-0622-JUL-0623-APR-0723-APR-11
17824-MAY-0723-JUN-0722-AUG-0724-MAY-0824-MAY-12
17904-JAN-0803-FEB-0803-APR-0804-JAN-0904-JAN-13
18024-JAN-0623-FEB-0624-APR-0624-JAN-0724-JAN-11
18123-FEB-0625-MAR-0624-MAY-0623-FEB-0723-FEB-11
18221-JUN-0721-JUL-0719-SEP-0721-JUN-0821-JUN-12
18303-FEB-0804-MAR-0803-MAY-0803-FEB-0903-FEB-13
18427-JAN-0426-FEB-0426-APR-0427-JAN-0527-JAN-09
18520-FEB-0522-MAR-0521-MAY-0520-FEB-0620-FEB-10
18624-JUN-0624-JUL-0622-SEP-0624-JUN-0724-JUN-11
18707-FEB-0709-MAR-0708-MAY-0707-FEB-0807-FEB-12
18814-JUN-0514-JUL-0512-SEP-0514-JUN-0614-JUN-10
18913-AUG-0512-SEP-0511-NOV-0513-AUG-0613-AUG-10
19011-JUL-0610-AUG-0609-OCT-0611-JUL-0711-JUL-11
19119-DEC-0718-JAN-0818-MAR-0819-DEC-0819-DEC-12
19204-FEB-0405-MAR-0404-MAY-0404-FEB-0504-FEB-09
19303-MAR-0502-APR-0501-JUN-0503-MAR-0603-MAR-10
19401-JUL-0631-JUL-0629-SEP-0601-JUL-0701-JUL-11
19517-MAR-0716-APR-0715-JUN-0717-MAR-0817-MAR-12
19624-APR-0624-MAY-0623-JUL-0624-APR-0724-APR-11
19723-MAY-0622-JUN-0621-AUG-0623-MAY-0723-MAY-11
19821-JUN-0721-JUL-0719-SEP-0721-JUN-0821-JUN-12
19913-JAN-0812-FEB-0812-APR-0813-JAN-0913-JAN-13
20017-SEP-0317-OCT-0316-DEC-0317-SEP-0417-SEP-08
20117-FEB-0418-MAR-0417-MAY-0417-FEB-0517-FEB-09
20217-AUG-0516-SEP-0515-NOV-0517-AUG-0617-AUG-10
20307-JUN-0207-JUL-0205-SEP-0207-JUN-0307-JUN-07
20407-JUN-0207-JUL-0205-SEP-0207-JUN-0307-JUN-07
20507-JUN-0207-JUL-0205-SEP-0207-JUN-0307-JUN-07
20607-JUN-0207-JUL-0205-SEP-0207-JUN-0307-JUN-07

To acquire a deeper understanding of views and explore additional real-world examples, see my views page.

Using Multiple Objects
The nature of relational databases and normalization efforts typically preclude the use of a single pre-existing table to solve a real-world problem. To source data from multiple tables using SQL, knowledge of JOINs and their types is required. To explain further, allow me to introduce a simple example problem.

Suppose you are required to generate a report containing, for each order, the customer ID, customer first name, customer last name, order ID, and order date. Given the example data at the top of this page, the customer ID, customer first name, and customer last name attributes are in the customers table and the order ID and order date attributes are in the orders table. Based on that, the rows and corresponding attributes from each table will need to be brought together to generate the desired report. Using an attribute shared among both tables, we can do just that!

In the example code below, an INNER JOIN is used with instructions in the ON clause specifying to merge the contents of the tables based the customer ID values within each table. For each row in the order’s table, if the customer ID value exists within the customers table, then the attributes from the orders table for that specific order and the corresponding customer attributes contained within the row having a matching customer ID value will be included in the result set. Naturally, customer information made available within the result set will be for those customers having placed at least one order. For clarity, the code’s corresponding result set is also provided below as well as a short exercise to reinforce the concept of JOINs.

SELECT
    oe.customers.customer_id,
    oe.customers.cust_first_name,
    oe.customers.cust_last_name,
	oe.orders.order_id,
    oe.orders.order_date
FROM
	oe.orders
	INNER JOIN
	oe.customers
		ON oe.orders.customer_id = oe.customers.customer_id;
customer_idcust_first_namecust_last_nameorder_idorder_date
144SivajiLandis243502-SEP-07 11.22.53.134567 PM
144SivajiLandis236323-OCT-07 05.49.56.346122 PM
144SivajiLandis238214-MAY-08 10.19.03.828321 AM
144SivajiLandis242216-DEC-07 08.19.55.462332 PM
144SivajiLandis244527-JUL-06 03.34.38.362632 PM
145MammuttiPacino245520-SEP-07 11.34.11.456789 AM
145MammuttiPacino236428-AUG-07 06.18.45.942399 PM
145MammuttiPacino238312-MAY-08 11.22.30.545103 AM
145MammuttiPacino242321-NOV-07 10.22.33.362632 AM
145MammuttiPacino244818-JUN-07 04.41.49.262632 PM
146EliaFawcett237916-MAY-07 02.22.24.234567 AM
146EliaFawcett236528-AUG-07 07.03.34.003399 PM
146EliaFawcett238412-MAY-08 12.22.34.525972 PM
146EliaFawcett242421-NOV-07 10.22.33.263332 AM
146EliaFawcett244913-JUN-07 05.49.07.162632 PM
147IshwaryaRoberts239602-FEB-06 01.34.56.345678 AM
147IshwaryaRoberts236628-AUG-07 08.59.23.144778 PM
147IshwaryaRoberts238508-DEC-07 11.34.11.331392 AM
147IshwaryaRoberts242516-NOV-06 11.34.22.162552 PM
147IshwaryaRoberts245011-APR-07 06.18.10.362632 PM
148GustavSteenburgen240629-JUN-07 04.41.20.098765 AM
148GustavSteenburgen236727-JUN-08 09.53.32.335522 PM
148GustavSteenburgen238606-DEC-07 12.22.34.225609 PM
148GustavSteenburgen242617-NOV-06 12.22.11.262552 AM
148GustavSteenburgen245117-DEC-07 05.03.52.562632 PM
149MarkusRampling243413-SEP-07 05.49.30.647893 AM
149MarkusRampling236826-JUN-08 10.19.43.190089 PM
149MarkusRampling238711-MAR-07 03.34.56.536966 PM
149MarkusRampling242710-NOV-07 01.34.22.362124 AM
149MarkusRampling245206-OCT-07 08.59.43.462632 PM
150GoldieSlater238804-JUN-07 04.41.12.554435 PM
151DivineAykroyd238904-JUN-08 05.49.43.546954 PM
152DieterMatthau239018-NOV-07 04.18.50.546851 PM
153DivineSheen239127-FEB-06 05.03.03.828330 PM
154FredericGrodin239221-JUL-07 08.59.57.571057 PM
155FredericoRomero239310-FEB-08 07.53.19.528202 PM
156GoldieMontand239502-FEB-06 08.19.11.227550 PM
157SidneyCapshaw239819-NOV-07 09.22.53.224175 PM
158FredericoLyon239919-NOV-07 10.22.38.340990 PM
159EddieBoyer240010-JUL-07 01.34.29.559387 AM
160EddieStern240110-JUL-07 02.22.53.554822 AM
161ErnestWeaver240202-JUL-07 03.34.44.665170 AM
162ErnestGeorge240301-JUL-07 04.49.13.615512 PM
164CharlotteKazan240501-JUL-07 04.49.13.678123 PM
165CharlotteFonda240729-JUN-07 07.03.21.526005 AM
166DheerajAlexander240829-JUN-07 08.59.31.333617 AM
167GerardHershey240929-JUN-07 09.53.41.984501 AM
169DheerajDavis241124-MAY-07 11.22.10.548639 AM
170Harry DeanFonda241229-MAR-06 10.22.09.509801 AM
101ConstantinWelles245816-AUG-07 03.34.12.234359 PM
101ConstantinWelles244727-JUL-08 08.59.10.223344 AM
101ConstantinWelles241329-MAR-08 01.34.04.525934 PM
101ConstantinWelles243002-OCT-07 06.18.36.663332 AM
102HarrisonPacino239719-NOV-07 02.41.54.696211 PM
102HarrisonPacino243214-SEP-07 09.53.40.223345 AM
102HarrisonPacino241429-MAR-07 02.22.40.536996 PM
102HarrisonPacino243114-SEP-06 07.03.04.763452 AM
103ManishaTaylor245402-OCT-07 05.49.34.678340 PM
103ManishaTaylor243313-SEP-07 10.19.00.654279 AM
103ManishaTaylor241529-MAR-06 01.34.50.545196 PM
103ManishaTaylor243701-SEP-06 08.59.15.826132 AM
104HarrisonSutherland235414-JUL-08 06.18.23.234567 PM
104HarrisonSutherland235526-JAN-06 09.22.51.962632 AM
104HarrisonSutherland241629-MAR-07 04.41.20.945676 PM
104HarrisonSutherland243801-SEP-07 09.53.26.934626 AM
105MatthiasMacGraw235808-JAN-08 05.03.12.654278 PM
105MatthiasMacGraw235626-JAN-08 09.22.41.934562 AM
105MatthiasMacGraw241720-MAR-07 05.49.10.974352 PM
105MatthiasMacGraw243931-AUG-07 10.19.37.811132 AM
106MatthiasHannah238114-MAY-08 08.59.08.843679 PM
106MatthiasHannah235908-JAN-06 09.34.13.112233 PM
106MatthiasHannah241820-MAR-04 04.18.21.862632 PM
106MatthiasHannah244101-AUG-08 11.22.48.734526 AM
107MatthiasCruise244031-AUG-07 09.53.06.008765 PM
107MatthiasCruise236014-NOV-07 12.22.31.223344 PM
107MatthiasCruise241920-MAR-07 07.03.32.764632 PM
107MatthiasCruise244227-JUL-06 12.22.59.662632 PM
108MeenakshiMason235708-JAN-06 08.19.44.123456 PM
108MeenakshiMason236113-NOV-07 01.34.21.986210 PM
108MeenakshiMason242013-MAR-07 08.59.43.666320 PM
108MeenakshiMason244327-JUL-06 01.34.16.562632 PM
109ChristianCage239410-FEB-08 09.22.35.564789 PM
109ChristianCage236213-NOV-07 02.41.10.619477 PM
109ChristianCage242112-MAR-07 09.53.54.562432 PM
109ChristianCage244427-JUL-07 02.22.27.462632 PM
116GeraldineMartin243602-SEP-07 06.18.04.378034 AM
116GeraldineMartin236926-JUN-07 11.22.54.009932 PM
116GeraldineMartin242810-NOV-07 02.41.34.463567 AM
116GeraldineMartin245304-OCT-07 09.53.34.362632 PM
117GuillaumeEdwards244627-JUL-07 07.03.08.302945 AM
117GuillaumeEdwards237027-JUN-08 12.22.11.647398 AM
117GuillaumeEdwards242910-NOV-07 03.49.25.526321 AM
117GuillaumeEdwards245607-NOV-06 07.53.25.989889 PM
118MauriceMahoney237116-MAY-07 01.34.56.113356 AM
118MauriceMahoney245731-OCT-07 11.22.16.162632 PM
119MauriceHasan237227-FEB-07 12.22.33.356789 AM
120DianeHiggins237327-FEB-08 01.34.51.220065 AM
121DianneSen237427-FEB-08 02.41.45.109654 AM
122MauriceDaltrey237526-FEB-07 03.49.50.459233 AM
141MaximilianHenner237707-JUN-07 07.03.01.001100 AM
143SachinNeeson238016-MAY-07 09.53.02.909090 AM
123ElizabethBrown237607-JUN-07 06.18.08.883310 AM
142SachinSpielberg237824-MAY-07 08.59.10.010101 AM
163ErnestChandar240401-JUL-07 04.49.13.664085 PM
168HemaVoight241024-MAY-08 10.19.51.985501 AM

To further reinforce and check your understanding, perform the following steps:
1. Open the example data near the top of this page for the orders table.
2. Write down the order ID, order date, and customer ID values located within the first row of the orders table.
3. Open the example data near the top of this page for the customers table.
4. Navigate to the row within the customers table where the customer ID value is equal to the customer ID value you previously captured when writing down the data for the first row in the orders table.
5. Write down the customer ID, customer first name, and customer last name values located in that row.
6. Locate the row within the result set above where the order ID is the same as the one you’ve written down from the orders table.

If you’ve followed these steps correctly, then the data you previously wrote down from the orders table and the corresponding customer data from the customers table should be identical to and represented within the row navigated to in the result set above. If you repeated this process for each order, then you would arrive at the same result set provided above.

Although the example problem used two pre-existing tables, all objects discussed on this page can be used in the JOIN clause. Understanding the various JOIN types and corresponding use cases is important to building up your ability to solve real-world caliber problems. To acquire a deeper understanding of joins, join types (e.g., INNER), and explore additional real-world examples, see my joins page.

Knowledge Check
If you’d like to confirm your understanding on the FROM clause and other fundamental concepts, consider solving a handful of my practice problems here.