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_id | first_name | last_name | phone_number | hire_date | job_id | salary | commission_pct | manager_id | department_id | |
|---|---|---|---|---|---|---|---|---|---|---|
| 100 | Steven | King | SKING | 515.123.4567 | 17-Jun-03 | AD_PRES | 24000 | – | – | 90 |
| 101 | Neena | Kochhar | NKOCHHAR | 515.123.4568 | 21-Sep-05 | AD_VP | 17000 | – | 100 | 90 |
| 102 | Lex | De Haan | LDEHAAN | 515.123.4569 | 13-Jan-01 | AD_VP | 17000 | – | 100 | 90 |
| 103 | Alexander | Hunold | AHUNOLD | 590.423.4567 | 3-Jan-06 | IT_PROG | 9000 | – | 102 | 60 |
| 104 | Bruce | Ernst | BERNST | 590.423.4568 | 21-May-07 | IT_PROG | 6000 | – | 103 | 60 |
| 105 | David | Austin | DAUSTIN | 590.423.4569 | 25-Jun-05 | IT_PROG | 4800 | – | 103 | 60 |
| 106 | Valli | Pataballa | VPATABAL | 590.423.4560 | 5-Feb-06 | IT_PROG | 4800 | – | 103 | 60 |
| 107 | Diana | Lorentz | DLORENTZ | 590.423.5567 | 7-Feb-07 | IT_PROG | 4200 | – | 103 | 60 |
| 108 | Nancy | Greenberg | NGREENBE | 515.124.4569 | 17-Aug-02 | FI_MGR | 12008 | – | 101 | 100 |
| 109 | Daniel | Faviet | DFAVIET | 515.124.4169 | 16-Aug-02 | FI_ACCOUNT | 9000 | – | 108 | 100 |
| 110 | John | Chen | JCHEN | 515.124.4269 | 28-Sep-05 | FI_ACCOUNT | 8200 | – | 108 | 100 |
| 111 | Ismael | Sciarra | ISCIARRA | 515.124.4369 | 30-Sep-05 | FI_ACCOUNT | 7700 | – | 108 | 100 |
| 112 | Jose Manuel | Urman | JMURMAN | 515.124.4469 | 7-Mar-06 | FI_ACCOUNT | 7800 | – | 108 | 100 |
| 113 | Luis | Popp | LPOPP | 515.124.4567 | 7-Dec-07 | FI_ACCOUNT | 6900 | – | 108 | 100 |
| 114 | Den | Raphaely | DRAPHEAL | 515.127.4561 | 7-Dec-02 | PU_MAN | 11000 | – | 100 | 30 |
| 115 | Alexander | Khoo | AKHOO | 515.127.4562 | 18-May-03 | PU_CLERK | 3100 | – | 114 | 30 |
| 116 | Shelli | Baida | SBAIDA | 515.127.4563 | 24-Dec-05 | PU_CLERK | 2900 | – | 114 | 30 |
| 117 | Sigal | Tobias | STOBIAS | 515.127.4564 | 24-Jul-05 | PU_CLERK | 2800 | – | 114 | 30 |
| 118 | Guy | Himuro | GHIMURO | 515.127.4565 | 15-Nov-06 | PU_CLERK | 2600 | – | 114 | 30 |
| 119 | Karen | Colmenares | KCOLMENA | 515.127.4566 | 10-Aug-07 | PU_CLERK | 2500 | – | 114 | 30 |
| 120 | Matthew | Weiss | MWEISS | 650.123.1234 | 18-Jul-04 | ST_MAN | 8000 | – | 100 | 50 |
| 121 | Adam | Fripp | AFRIPP | 650.123.2234 | 10-Apr-05 | ST_MAN | 8200 | – | 100 | 50 |
| 122 | Payam | Kaufling | PKAUFLIN | 650.123.3234 | 1-May-03 | ST_MAN | 7900 | – | 100 | 50 |
| 123 | Shanta | Vollman | SVOLLMAN | 650.123.4234 | 10-Oct-05 | ST_MAN | 6500 | – | 100 | 50 |
| 124 | Kevin | Mourgos | KMOURGOS | 650.123.5234 | 16-Nov-07 | ST_MAN | 5800 | – | 100 | 50 |
| 125 | Julia | Nayer | JNAYER | 650.124.1214 | 16-Jul-05 | ST_CLERK | 3200 | – | 120 | 50 |
| 126 | Irene | Mikkilineni | IMIKKILI | 650.124.1224 | 28-Sep-06 | ST_CLERK | 2700 | – | 120 | 50 |
| 127 | James | Landry | JLANDRY | 650.124.1334 | 14-Jan-07 | ST_CLERK | 2400 | – | 120 | 50 |
| 128 | Steven | Markle | SMARKLE | 650.124.1434 | 8-Mar-08 | ST_CLERK | 2200 | – | 120 | 50 |
| 129 | Laura | Bissot | LBISSOT | 650.124.5234 | 20-Aug-05 | ST_CLERK | 3300 | – | 121 | 50 |
| 130 | Mozhe | Atkinson | MATKINSO | 650.124.6234 | 30-Oct-05 | ST_CLERK | 2800 | – | 121 | 50 |
| 131 | James | Marlow | JAMRLOW | 650.124.7234 | 16-Feb-05 | ST_CLERK | 2500 | – | 121 | 50 |
| 132 | TJ | Olson | TJOLSON | 650.124.8234 | 10-Apr-07 | ST_CLERK | 2100 | – | 121 | 50 |
| 133 | Jason | Mallin | JMALLIN | 650.127.1934 | 14-Jun-04 | ST_CLERK | 3300 | – | 122 | 50 |
| 134 | Michael | Rogers | MROGERS | 650.127.1834 | 26-Aug-06 | ST_CLERK | 2900 | – | 122 | 50 |
| 135 | Ki | Gee | KGEE | 650.127.1734 | 12-Dec-07 | ST_CLERK | 2400 | – | 122 | 50 |
| 136 | Hazel | Philtanker | HPHILTAN | 650.127.1634 | 6-Feb-08 | ST_CLERK | 2200 | – | 122 | 50 |
| 137 | Renske | Ladwig | RLADWIG | 650.121.1234 | 14-Jul-03 | ST_CLERK | 3600 | – | 123 | 50 |
| 138 | Stephen | Stiles | SSTILES | 650.121.2034 | 26-Oct-05 | ST_CLERK | 3200 | – | 123 | 50 |
| 139 | John | Seo | JSEO | 650.121.2019 | 12-Feb-06 | ST_CLERK | 2700 | – | 123 | 50 |
| 140 | Joshua | Patel | JPATEL | 650.121.1834 | 6-Apr-06 | ST_CLERK | 2500 | – | 123 | 50 |
| 141 | Trenna | Rajs | TRAJS | 650.121.8009 | 17-Oct-03 | ST_CLERK | 3500 | – | 124 | 50 |
| 142 | Curtis | Davies | CDAVIES | 650.121.2994 | 29-Jan-05 | ST_CLERK | 3100 | – | 124 | 50 |
| 143 | Randall | Matos | RMATOS | 650.121.2874 | 15-Mar-06 | ST_CLERK | 2600 | – | 124 | 50 |
| 144 | Peter | Vargas | PVARGAS | 650.121.2004 | 9-Jul-06 | ST_CLERK | 2500 | – | 124 | 50 |
| 145 | John | Russell | JRUSSEL | 011.44.1344.429268 | 1-Oct-04 | SA_MAN | 14000 | 0.4 | 100 | 80 |
| 146 | Karen | Partners | KPARTNER | 011.44.1344.467268 | 5-Jan-05 | SA_MAN | 13500 | 0.3 | 100 | 80 |
| 147 | Alberto | Errazuriz | AERRAZUR | 011.44.1344.429278 | 10-Mar-05 | SA_MAN | 12000 | 0.3 | 100 | 80 |
| 148 | Gerald | Cambrault | GCAMBRAU | 011.44.1344.619268 | 15-Oct-07 | SA_MAN | 11000 | 0.3 | 100 | 80 |
| 149 | Eleni | Zlotkey | EZLOTKEY | 011.44.1344.429018 | 29-Jan-08 | SA_MAN | 10500 | 0.2 | 100 | 80 |
| 150 | Peter | Tucker | PTUCKER | 011.44.1344.129268 | 30-Jan-05 | SA_REP | 10000 | 0.3 | 145 | 80 |
| 151 | David | Bernstein | DBERNSTE | 011.44.1344.345268 | 24-Mar-05 | SA_REP | 9500 | 0.25 | 145 | 80 |
| 152 | Peter | Hall | PHALL | 011.44.1344.478968 | 20-Aug-05 | SA_REP | 9000 | 0.25 | 145 | 80 |
| 153 | Christopher | Olsen | COLSEN | 011.44.1344.498718 | 30-Mar-06 | SA_REP | 8000 | 0.2 | 145 | 80 |
| 154 | Nanette | Cambrault | NCAMBRAU | 011.44.1344.987668 | 9-Dec-06 | SA_REP | 7500 | 0.2 | 145 | 80 |
| 155 | Oliver | Tuvault | OTUVAULT | 011.44.1344.486508 | 23-Nov-07 | SA_REP | 7000 | 0.15 | 145 | 80 |
| 156 | Janette | King | JKING | 011.44.1345.429268 | 30-Jan-04 | SA_REP | 10000 | 0.35 | 146 | 80 |
| 157 | Patrick | Sully | PSULLY | 011.44.1345.929268 | 4-Mar-04 | SA_REP | 9500 | 0.35 | 146 | 80 |
| 158 | Allan | McEwen | AMCEWEN | 011.44.1345.829268 | 1-Aug-04 | SA_REP | 9000 | 0.35 | 146 | 80 |
| 159 | Lindsey | Smith | LSMITH | 011.44.1345.729268 | 10-Mar-05 | SA_REP | 8000 | 0.3 | 146 | 80 |
| 160 | Louise | Doran | LDORAN | 011.44.1345.629268 | 15-Dec-05 | SA_REP | 7500 | 0.3 | 146 | 80 |
| 161 | Sarath | Sewall | SSEWALL | 011.44.1345.529268 | 3-Nov-06 | SA_REP | 7000 | 0.25 | 146 | 80 |
| 162 | Clara | Vishney | CVISHNEY | 011.44.1346.129268 | 11-Nov-05 | SA_REP | 10500 | 0.25 | 147 | 80 |
| 163 | Danielle | Greene | DGREENE | 011.44.1346.229268 | 19-Mar-07 | SA_REP | 9500 | 0.15 | 147 | 80 |
| 164 | Mattea | Marvins | MMARVINS | 011.44.1346.329268 | 24-Jan-08 | SA_REP | 7200 | 0.1 | 147 | 80 |
| 165 | David | Lee | DLEE | 011.44.1346.529268 | 23-Feb-08 | SA_REP | 6800 | 0.1 | 147 | 80 |
| 166 | Sundar | Ande | SANDE | 011.44.1346.629268 | 24-Mar-08 | SA_REP | 6400 | 0.1 | 147 | 80 |
| 167 | Amit | Banda | ABANDA | 011.44.1346.729268 | 21-Apr-08 | SA_REP | 6200 | 0.1 | 147 | 80 |
| 168 | Lisa | Ozer | LOZER | 011.44.1343.929268 | 11-Mar-05 | SA_REP | 11500 | 0.25 | 148 | 80 |
| 169 | Harrison | Bloom | HBLOOM | 011.44.1343.829268 | 23-Mar-06 | SA_REP | 10000 | 0.2 | 148 | 80 |
| 170 | Tayler | Fox | TFOX | 011.44.1343.729268 | 24-Jan-06 | SA_REP | 9600 | 0.2 | 148 | 80 |
| 171 | William | Smith | WSMITH | 011.44.1343.629268 | 23-Feb-07 | SA_REP | 7400 | 0.15 | 148 | 80 |
| 172 | Elizabeth | Bates | EBATES | 011.44.1343.529268 | 24-Mar-07 | SA_REP | 7300 | 0.15 | 148 | 80 |
| 173 | Sundita | Kumar | SKUMAR | 011.44.1343.329268 | 21-Apr-08 | SA_REP | 6100 | 0.1 | 148 | 80 |
| 174 | Ellen | Abel | EABEL | 011.44.1644.429267 | 11-May-04 | SA_REP | 11000 | 0.3 | 149 | 80 |
| 175 | Alyssa | Hutton | AHUTTON | 011.44.1644.429266 | 19-Mar-05 | SA_REP | 8800 | 0.25 | 149 | 80 |
| 176 | Jonathon | Taylor | JTAYLOR | 011.44.1644.429265 | 24-Mar-06 | SA_REP | 8600 | 0.2 | 149 | 80 |
| 177 | Jack | Livingston | JLIVINGS | 011.44.1644.429264 | 23-Apr-06 | SA_REP | 8400 | 0.2 | 149 | 80 |
| 178 | Kimberely | Grant | KGRANT | 011.44.1644.429263 | 24-May-07 | SA_REP | 7000 | 0.15 | 149 | – |
| 179 | Charles | Johnson | CJOHNSON | 011.44.1644.429262 | 4-Jan-08 | SA_REP | 6200 | 0.1 | 149 | 80 |
| 180 | Winston | Taylor | WTAYLOR | 650.507.9876 | 24-Jan-06 | SH_CLERK | 3200 | – | 120 | 50 |
| 181 | Jean | Fleaur | JFLEAUR | 650.507.9877 | 23-Feb-06 | SH_CLERK | 3100 | – | 120 | 50 |
| 182 | Martha | Sullivan | MSULLIVA | 650.507.9878 | 21-Jun-07 | SH_CLERK | 2500 | – | 120 | 50 |
| 183 | Girard | Geoni | GGEONI | 650.507.9879 | 3-Feb-08 | SH_CLERK | 2800 | – | 120 | 50 |
| 184 | Nandita | Sarchand | NSARCHAN | 650.509.1876 | 27-Jan-04 | SH_CLERK | 4200 | – | 121 | 50 |
| 185 | Alexis | Bull | ABULL | 650.509.2876 | 20-Feb-05 | SH_CLERK | 4100 | – | 121 | 50 |
| 186 | Julia | Dellinger | JDELLING | 650.509.3876 | 24-Jun-06 | SH_CLERK | 3400 | – | 121 | 50 |
| 187 | Anthony | Cabrio | ACABRIO | 650.509.4876 | 7-Feb-07 | SH_CLERK | 3000 | – | 121 | 50 |
| 188 | Kelly | Chung | KCHUNG | 650.505.1876 | 14-Jun-05 | SH_CLERK | 3800 | – | 122 | 50 |
| 189 | Jennifer | Dilly | JDILLY | 650.505.2876 | 13-Aug-05 | SH_CLERK | 3600 | – | 122 | 50 |
| 190 | Timothy | Gates | TGATES | 650.505.3876 | 11-Jul-06 | SH_CLERK | 2900 | – | 122 | 50 |
| 191 | Randall | Perkins | RPERKINS | 650.505.4876 | 19-Dec-07 | SH_CLERK | 2500 | – | 122 | 50 |
| 192 | Sarah | Bell | SBELL | 650.501.1876 | 4-Feb-04 | SH_CLERK | 4000 | – | 123 | 50 |
| 193 | Britney | Everett | BEVERETT | 650.501.2876 | 3-Mar-05 | SH_CLERK | 3900 | – | 123 | 50 |
| 194 | Samuel | McCain | SMCCAIN | 650.501.3876 | 1-Jul-06 | SH_CLERK | 3200 | – | 123 | 50 |
| 195 | Vance | Jones | VJONES | 650.501.4876 | 17-Mar-07 | SH_CLERK | 2800 | – | 123 | 50 |
| 196 | Alana | Walsh | AWALSH | 650.507.9811 | 24-Apr-06 | SH_CLERK | 3100 | – | 124 | 50 |
| 197 | Kevin | Feeney | KFEENEY | 650.507.9822 | 23-May-06 | SH_CLERK | 3000 | – | 124 | 50 |
| 198 | Donald | OConnell | DOCONNEL | 650.507.9833 | 21-Jun-07 | SH_CLERK | 2600 | – | 124 | 50 |
| 199 | Douglas | Grant | DGRANT | 650.507.9844 | 13-Jan-08 | SH_CLERK | 2600 | – | 124 | 50 |
| 200 | Jennifer | Whalen | JWHALEN | 515.123.4444 | 17-Sep-03 | AD_ASST | 4400 | – | 101 | 10 |
| 201 | Michael | Hartstein | MHARTSTE | 515.123.5555 | 17-Feb-04 | MK_MAN | 13000 | – | 100 | 20 |
| 202 | Pat | Fay | PFAY | 603.123.6666 | 17-Aug-05 | MK_REP | 6000 | – | 201 | 20 |
| 203 | Susan | Mavris | SMAVRIS | 515.123.7777 | 7-Jun-02 | HR_REP | 6500 | – | 101 | 40 |
| 204 | Hermann | Baer | HBAER | 515.123.8888 | 7-Jun-02 | PR_REP | 10000 | – | 101 | 70 |
| 205 | Shelley | Higgins | SHIGGINS | 515.123.8080 | 7-Jun-02 | AC_MGR | 12008 | – | 101 | 110 |
| 206 | William | Gietz | WGIETZ | 515.123.8181 | 7-Jun-02 | AC_ACCOUNT | 8300 | – | 205 | 110 |
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_id | cust_first_name | cust_last_name | nls_territory | credit_limit | cust_email | account_mgr_id | date_of_birth | marital_status | gender | income_level |
|---|---|---|---|---|---|---|---|---|---|---|
| 144 | Sivaji | Landis | AMERICA | 500 | Sivaji.Landis@GOLDENEYE.EXAMPLE.COM | 145 | 9-Feb-70 | married | M | F: 110,000 – 129,999 |
| 145 | Mammutti | Pacino | AMERICA | 500 | Mammutti.Pacino@GREBE.EXAMPLE.COM | 145 | 19-Feb-46 | single | M | F: 110,000 – 129,999 |
| 146 | Elia | Fawcett | AMERICA | 500 | Elia.Fawcett@JACANA.EXAMPLE.COM | 145 | 12-Mar-63 | married | F | L: 300,000 and above |
| 147 | Ishwarya | Roberts | AMERICA | 600 | Ishwarya.Roberts@LAPWING.EXAMPLE.COM | 145 | 21-Mar-44 | single | F | G: 130,000 – 149,999 |
| 148 | Gustav | Steenburgen | AMERICA | 600 | Gustav.Steenburgen@PINTAIL.EXAMPLE.COM | 145 | 10-Apr-50 | married | M | F: 110,000 – 129,999 |
| 149 | Markus | Rampling | AMERICA | 600 | Markus.Rampling@PUFFIN.EXAMPLE.COM | 145 | 20-Apr-41 | single | M | D: 70,000 – 89,999 |
| 150 | Goldie | Slater | AMERICA | 700 | Goldie.Slater@PYRRHULOXIA.EXAMPLE.COM | 145 | 11-May-51 | married | M | D: 70,000 – 89,999 |
| 151 | Divine | Aykroyd | AMERICA | 700 | Divine.Aykroyd@REDSTART.EXAMPLE.COM | 145 | 20-May-76 | single | M | F: 110,000 – 129,999 |
| 152 | Dieter | Matthau | AMERICA | 700 | Dieter.Matthau@VERDIN.EXAMPLE.COM | 145 | 9-Jun-22 | married | M | A: Below 30,000 |
| 153 | Divine | Sheen | AMERICA | 700 | Divine.Sheen@COWBIRD.EXAMPLE.COM | 145 | 20-Jun-67 | single | M | I: 170,000 – 189,999 |
| 154 | Frederic | Grodin | AMERICA | 700 | Frederic.Grodin@CREEPER.EXAMPLE.COM | 145 | 29-Jun-65 | single | F | L: 300,000 and above |
| 155 | Frederico | Romero | AMERICA | 700 | Frederico.Romero@CURLEW.EXAMPLE.COM | 145 | 9-Jul-42 | married | M | E: 90,000 – 109,999 |
| 156 | Goldie | Montand | AMERICA | 700 | Goldie.Montand@DIPPER.EXAMPLE.COM | 145 | 9-Aug-55 | married | F | F: 110,000 – 129,999 |
| 157 | Sidney | Capshaw | AMERICA | 700 | Sidney.Capshaw@DUNLIN.EXAMPLE.COM | 145 | 18-Aug-69 | single | M | G: 130,000 – 149,999 |
| 158 | Frederico | Lyon | AMERICA | 700 | Frederico.Lyon@FLICKER.EXAMPLE.COM | 145 | 7-Sep-70 | married | M | J: 190,000 – 249,999 |
| 159 | Eddie | Boyer | AMERICA | 700 | Eddie.Boyer@GALLINULE.EXAMPLE.COM | 145 | 7-Oct-53 | married | M | G: 130,000 – 149,999 |
| 160 | Eddie | Stern | AMERICA | 700 | Eddie.Stern@GODWIT.EXAMPLE.COM | 145 | 6-Nov-50 | married | M | G: 130,000 – 149,999 |
| 161 | Ernest | Weaver | AMERICA | 900 | Ernest.Weaver@GROSBEAK.EXAMPLE.COM | 145 | 16-Nov-42 | single | M | B: 30,000 – 49,999 |
| 162 | Ernest | George | AMERICA | 900 | Ernest.George@LAPWING.EXAMPLE.COM | 145 | 7-Dec-75 | married | M | D: 70,000 – 89,999 |
| 164 | Charlotte | Kazan | AMERICA | 1200 | Charlotte.Kazan@MERGANSER.EXAMPLE.COM | 145 | 5-Jan-54 | married | M | I: 170,000 – 189,999 |
| 165 | Charlotte | Fonda | AMERICA | 1200 | Charlotte.Fonda@MOORHEN.EXAMPLE.COM | 145 | 5-Feb-56 | married | M | J: 190,000 – 249,999 |
| 166 | Dheeraj | Alexander | AMERICA | 1200 | Dheeraj.Alexander@NUTHATCH.EXAMPLE.COM | 145 | 14-Feb-50 | single | F | G: 130,000 – 149,999 |
| 167 | Gerard | Hershey | AMERICA | 1200 | Gerard.Hershey@PARULA.EXAMPLE.COM | 145 | 6-Mar-48 | married | M | D: 70,000 – 89,999 |
| 169 | Dheeraj | Davis | AMERICA | 1200 | Dheeraj.Davis@PIPIT.EXAMPLE.COM | 145 | 5-Apr-81 | married | F | F: 110,000 – 129,999 |
| 170 | Harry Dean | Fonda | AMERICA | 1200 | HarryDean.Fonda@PLOVER.EXAMPLE.COM | 145 | 15-Apr-88 | single | M | G: 130,000 – 149,999 |
| 171 | Hema | Powell | AMERICA | 1200 | Hema.Powell@SANDERLING.EXAMPLE.COM | 145 | 5-May-53 | married | M | D: 70,000 – 89,999 |
| 172 | Harry Mean | Peckinpah | AMERICA | 1200 | HarryMean.Peckinpah@VERDIN.EXAMPLE.COM | 145 | 15-May-59 | single | M | I: 170,000 – 189,999 |
| 174 | Blake | Seignier | AMERICA | 1200 | Blake.Seignier@GALLINULE.EXAMPLE.COM | 149 | 14-Jun-88 | single | M | H: 150,000 – 169,999 |
| 175 | Claude | Powell | AMERICA | 1200 | Claude.Powell@GODWIT.EXAMPLE.COM | 149 | 4-Jul-46 | married | M | F: 110,000 – 129,999 |
| 176 | Faye | Glenn | AMERICA | 1200 | Faye.Glenn@GREBE.EXAMPLE.COM | 149 | 14-Jul-47 | single | F | B: 30,000 – 49,999 |
| 177 | Gerhard | Seignier | AMERICA | 1200 | Gerhard.Seignier@JACANA.EXAMPLE.COM | 149 | 3-Aug-78 | married | M | E: 90,000 – 109,999 |
| 179 | Harry dean | Forrest | AMERICA | 1200 | Harrydean.Forrest@KISKADEE.EXAMPLE.COM | 149 | 12-Sep-74 | single | M | G: 130,000 – 149,999 |
| 180 | Harry dean | Cage | AMERICA | 1200 | Harrydean.Cage@LAPWING.EXAMPLE.COM | 149 | 2-Oct-75 | married | F | F: 110,000 – 129,999 |
| 181 | Lauren | Hershey | AMERICA | 1200 | Lauren.Hershey@LIMPKIN.EXAMPLE.COM | 149 | 12-Oct-65 | single | F | H: 150,000 – 169,999 |
| 183 | Lauren | Altman | AMERICA | 1200 | Lauren.Altman@MERGANSER.EXAMPLE.COM | 149 | 1-Nov-68 | married | F | C: 50,000 – 69,999 |
| 184 | Mary Beth | Roberts | AMERICA | 1200 | MaryBeth.Roberts@NUTHATCH.EXAMPLE.COM | 149 | 11-Nov-27 | single | M | A: Below 30,000 |
| 262 | Fred | Reynolds | AMERICA | 3600 | Fred.Reynolds@WATERTHRUSH.EXAMPLE.COM | 149 | 13-Jul-58 | married | M | F: 110,000 – 129,999 |
| 263 | Fred | Lithgow | AMERICA | 3600 | Fred.Lithgow@WHIMBREL.EXAMPLE.COM | 149 | 23-Jul-79 | single | M | D: 70,000 – 89,999 |
| 265 | Irene | Laughton | AMERICA | 3600 | Irene.Laughton@ANHINGA.EXAMPLE.COM | 149 | 22-Aug-73 | single | F | J: 190,000 – 249,999 |
| 266 | Prem | Cardinale | AMERICA | 3700 | Prem.Cardinale@BITTERN.EXAMPLE.COM | 149 | 1-Sep-70 | single | M | L: 300,000 and above |
| 267 | Prem | Walken | AMERICA | 3700 | Prem.Walken@BRANT.EXAMPLE.COM | 145 | 11-Sep-53 | married | F | G: 130,000 – 149,999 |
| 268 | Kyle | Schneider | AMERICA | 3700 | Kyle.Schneider@DUNLIN.EXAMPLE.COM | 145 | 21-Sep-52 | single | F | G: 130,000 – 149,999 |
| 270 | Meg | Derek | AMERICA | 3700 | Meg.Derek@FLICKER.EXAMPLE.COM | 145 | 10-Nov-71 | married | M | F: 110,000 – 129,999 |
| 271 | Shelley | Peckinpah | AMERICA | 3700 | Shelley.Peckinpah@GODWIT.EXAMPLE.COM | 145 | 20-Nov-87 | single | F | D: 70,000 – 89,999 |
| 272 | Prem | Garcia | AMERICA | 3700 | Prem.Garcia@JACANA.EXAMPLE.COM | 145 | 10-Dec-60 | married | M | I: 170,000 – 189,999 |
| 274 | Bob | McCarthy | AMERICA | 5000 | Bob.McCarthy@ANI.EXAMPLE.COM | 149 | 19-Jan-46 | single | M | A: Below 30,000 |
| 275 | Dom | McQueen | AMERICA | 5000 | Dom.McQueen@AUKLET.EXAMPLE.COM | 149 | 8-Feb-84 | married | F | G: 130,000 – 149,999 |
| 276 | Dom | Hoskins | AMERICA | 5000 | Dom.Hoskins@AVOCET.EXAMPLE.COM | 149 | 10-Mar-51 | married | M | E: 90,000 – 109,999 |
| 101 | Constantin | Welles | AMERICA | 100 | Constantin.Welles@ANHINGA.EXAMPLE.COM | 145 | 20-Feb-72 | married | M | B: 30,000 – 49,999 |
| 102 | Harrison | Pacino | AMERICA | 100 | Harrison.Pacino@ANI.EXAMPLE.COM | 145 | 2-Mar-53 | single | M | I: 170,000 – 189,999 |
| 103 | Manisha | Taylor | AMERICA | 100 | Manisha.Taylor@AUKLET.EXAMPLE.COM | 145 | 22-Mar-83 | married | F | H: 150,000 – 169,999 |
| 104 | Harrison | Sutherland | AMERICA | 100 | Harrison.Sutherland@GODWIT.EXAMPLE.COM | 145 | 31-Mar-72 | single | F | H: 150,000 – 169,999 |
| 105 | Matthias | MacGraw | AMERICA | 100 | Matthias.MacGraw@GOLDENEYE.EXAMPLE.COM | 145 | 21-Apr-69 | married | F | C: 50,000 – 69,999 |
| 106 | Matthias | Hannah | AMERICA | 100 | Matthias.Hannah@GREBE.EXAMPLE.COM | 145 | 30-Apr-60 | single | M | F: 110,000 – 129,999 |
| 107 | Matthias | Cruise | AMERICA | 100 | Matthias.Cruise@GROSBEAK.EXAMPLE.COM | 145 | 21-May-69 | married | F | G: 130,000 – 149,999 |
| 108 | Meenakshi | Mason | AMERICA | 100 | Meenakshi.Mason@JACANA.EXAMPLE.COM | 145 | 20-Jun-57 | married | M | H: 150,000 – 169,999 |
| 109 | Christian | Cage | AMERICA | 100 | Christian.Cage@KINGLET.EXAMPLE.COM | 145 | 30-Jun-38 | single | M | F: 110,000 – 129,999 |
| 110 | Charlie | Sutherland | AMERICA | 200 | Charlie.Sutherland@LIMPKIN.EXAMPLE.COM | 145 | 20-Jul-51 | married | M | G: 130,000 – 149,999 |
| 111 | Charlie | Pacino | AMERICA | 200 | Charlie.Pacino@LONGSPUR.EXAMPLE.COM | 145 | 29-Jul-48 | single | M | G: 130,000 – 149,999 |
| 112 | Guillaume | Jackson | AMERICA | 200 | Guillaume.Jackson@MOORHEN.EXAMPLE.COM | 145 | 19-Aug-54 | married | M | I: 170,000 – 189,999 |
| 113 | Daniel | Costner | AMERICA | 200 | Daniel.Costner@PARULA.EXAMPLE.COM | 145 | 29-Aug-77 | single | M | I: 170,000 – 189,999 |
| 114 | Dianne | Derek | AMERICA | 200 | Dianne.Derek@SAW-WHET.EXAMPLE.COM | 145 | 17-Sep-48 | married | M | H: 150,000 – 169,999 |
| 115 | Geraldine | Schneider | AMERICA | 200 | Geraldine.Schneider@SCAUP.EXAMPLE.COM | 145 | 18-Oct-31 | married | M | B: 30,000 – 49,999 |
| 116 | Geraldine | Martin | AMERICA | 200 | Geraldine.Martin@SCOTER.EXAMPLE.COM | 145 | 28-Oct-27 | single | M | A: Below 30,000 |
| 117 | Guillaume | Edwards | AMERICA | 200 | Guillaume.Edwards@SHRIKE.EXAMPLE.COM | 145 | 16-Nov-52 | married | M | E: 90,000 – 109,999 |
| 118 | Maurice | Mahoney | AMERICA | 200 | Maurice.Mahoney@SNIPE.EXAMPLE.COM | 145 | 27-Nov-66 | single | M | F: 110,000 – 129,999 |
| 119 | Maurice | Hasan | AMERICA | 200 | Maurice.Hasan@STILT.EXAMPLE.COM | 145 | 17-Dec-65 | married | M | G: 130,000 – 149,999 |
| 120 | Diane | Higgins | AMERICA | 200 | Diane.Higgins@TANAGER.EXAMPLE.COM | 145 | 26-Dec-84 | single | M | H: 150,000 – 169,999 |
| 121 | Dianne | Sen | AMERICA | 200 | Dianne.Sen@TATTLER.EXAMPLE.COM | 145 | 15-Jan-53 | married | M | H: 150,000 – 169,999 |
| 122 | Maurice | Daltrey | AMERICA | 200 | Maurice.Daltrey@TEAL.EXAMPLE.COM | 145 | 15-Feb-43 | married | M | A: Below 30,000 |
| 185 | Matthew | Wright | AMERICA | 1200 | Matthew.Wright@OVENBIRD.EXAMPLE.COM | 149 | 1-Dec-59 | married | F | G: 130,000 – 149,999 |
| 186 | Meena | Alexander | AMERICA | 1200 | Meena.Alexander@PARULA.EXAMPLE.COM | 149 | 11-Dec-61 | single | F | K: 250,000 – 299,999 |
| 188 | Charlotte | Buckley | AMERICA | 1200 | Charlotte.Buckley@PINTAIL.EXAMPLE.COM | 149 | 10-Jan-49 | single | F | F: 110,000 – 129,999 |
| 277 | Don | Siegel | AMERICA | 5000 | Don.Siegel@BITTERN.EXAMPLE.COM | 149 | 20-Mar-50 | single | M | B: 30,000 – 49,999 |
| 278 | Gvtz | Bradford | AMERICA | 5000 | Gvtz.Bradford@BULBUL.EXAMPLE.COM | 149 | 8-Apr-64 | married | M | K: 250,000 – 299,999 |
| 279 | Holly | Kurosawa | AMERICA | 5000 | Holly.Kurosawa@CARACARA.EXAMPLE.COM | 149 | 19-Apr-61 | single | M | I: 170,000 – 189,999 |
| 280 | Rob | MacLaine | AMERICA | 5000 | Rob.MacLaine@COOT.EXAMPLE.COM | 149 | 9-May-49 | married | M | B: 30,000 – 49,999 |
| 281 | Don | Barkin | AMERICA | 5000 | Don.Barkin@CORMORANT.EXAMPLE.COM | 149 | 18-May-56 | single | M | I: 170,000 – 189,999 |
| 282 | Kurt | Danson | AMERICA | 5000 | Kurt.Danson@COWBIRD.EXAMPLE.COM | 145 | 7-Jun-88 | married | M | H: 150,000 – 169,999 |
| 283 | Kurt | Heard | AMERICA | 5000 | Kurt.Heard@CURLEW.EXAMPLE.COM | 145 | 18-Jun-94 | single | M | H: 150,000 – 169,999 |
| 308 | Glenda | Dunaway | CHINA | 1200 | Glenda.Dunaway@DOWITCHER.EXAMPLE.COM | 148 | 8-Jul-57 | married | M | C: 50,000 – 69,999 |
| 309 | Glenda | Bates | CHINA | 1200 | Glenda.Bates@DIPPER.EXAMPLE.COM | 148 | 18-Jul-55 | single | M | F: 110,000 – 129,999 |
| 323 | Goetz | Falk | INDIA | 5000 | Goetz.Falk@VEERY.EXAMPLE.COM | 148 | 6-Aug-80 | married | F | G: 130,000 – 149,999 |
| 326 | Hal | Olin | GERMANY | 2400 | Hal.Olin@FLICKER.EXAMPLE.COM | 147 | 6-Sep-59 | married | F | H: 150,000 – 169,999 |
| 327 | Hannah | Kanth | GERMANY | 2400 | Hannah.Kanth@GADWALL.EXAMPLE.COM | 147 | 15-Sep-56 | single | M | F: 110,000 – 129,999 |
| 328 | Hannah | Field | GERMANY | 2400 | Hannah.Field@GALLINULE.EXAMPLE.COM | 147 | 6-Oct-85 | married | F | G: 130,000 – 149,999 |
| 333 | Margret | Powell | ITALY | 1200 | Margret.Powell@ANI.EXAMPLE.COM | 147 | 16-Oct-53 | single | M | G: 130,000 – 149,999 |
| 334 | Harry Mean | Taylor | AMERICA | 1200 | HarryMean.Taylor@REDPOLL.EXAMPLE.COM | 147 | 15-Nov-81 | single | M | I: 170,000 – 189,999 |
| 335 | Margrit | Garner | ITALY | 500 | Margrit.Garner@STILT.EXAMPLE.COM | 147 | 5-Dec-82 | married | F | H: 150,000 – 169,999 |
| 337 | Maria | Warden | ITALY | 500 | Maria.Warden@TANAGER.EXAMPLE.COM | 147 | 3-Jan-73 | married | F | B: 30,000 – 49,999 |
| 361 | Marilou | Chapman | ITALY | 500 | Marilou.Chapman@TEAL.EXAMPLE.COM | 147 | 11-Aug-89 | single | F | D: 70,000 – 89,999 |
| 363 | Kathy | Lambert | ITALY | 2400 | Kathy.Lambert@COOT.EXAMPLE.COM | 147 | 31-Aug-56 | married | M | C: 50,000 – 69,999 |
| 360 | Helmut | Capshaw | CHINA | 3600 | Helmut.Capshaw@TROGON.EXAMPLE.COM | 148 | 1-Aug-77 | married | M | J: 190,000 – 249,999 |
| 341 | Keir | George | ITALY | 700 | Keir.George@VIREO.EXAMPLE.COM | 147 | 3-Feb-63 | married | F | E: 90,000 – 109,999 |
| 342 | Marlon | Laughton | ITALY | 2400 | Marlon.Laughton@CORMORANT.EXAMPLE.COM | 147 | 13-Feb-47 | single | F | F: 110,000 – 129,999 |
| 343 | Keir | Chandar | ITALY | 700 | Keir.Chandar@WATERTHRUSH.EXAMPLE.COM | 147 | 4-Mar-60 | married | M | G: 130,000 – 149,999 |
| 345 | Keir | Weaver | ITALY | 700 | Keir.Weaver@WHIMBREL.EXAMPLE.COM | 147 | 4-Apr-62 | married | M | H: 150,000 – 169,999 |
| 346 | Marlon | Clapton | ITALY | 2400 | Marlon.Clapton@COWBIRD.EXAMPLE.COM | 147 | 13-Apr-88 | married | M | K: 250,000 – 299,999 |
| 347 | Kelly | Quinlan | ITALY | 3600 | Kelly.Quinlan@PYRRHULOXIA.EXAMPLE.COM | 147 | 3-May-29 | married | F | A: Below 30,000 |
| 349 | Ken | Glenn | ITALY | 3600 | Ken.Glenn@SAW-WHET.EXAMPLE.COM | 147 | 3-Jun-67 | married | M | K: 250,000 – 299,999 |
| 350 | Ken | Chopra | ITALY | 3600 | Ken.Chopra@SCAUP.EXAMPLE.COM | 147 | 13-Jun-51 | single | F | F: 110,000 – 129,999 |
| 351 | Ken | Wenders | ITALY | 3600 | Ken.Wenders@REDPOLL.EXAMPLE.COM | 147 | 3-Jul-62 | married | F | F: 110,000 – 129,999 |
| 380 | Meryl | Holden | INDIA | 3700 | Meryl.Holden@DIPPER.EXAMPLE.COM | 148 | 10-Oct-61 | single | F | H: 150,000 – 169,999 |
| 447 | Richard | Coppola | ITALY | 500 | Richard.Coppola@SISKIN.EXAMPLE.COM | 147 | 30-Oct-81 | married | F | C: 50,000 – 69,999 |
| 448 | Richard | Winters | ITALY | 500 | Richard.Winters@SNIPE.EXAMPLE.COM | 147 | 30-Nov-54 | married | M | F: 110,000 – 129,999 |
| 450 | Rick | Lyon | ITALY | 1500 | Rick.Lyon@MERGANSER.EXAMPLE.COM | 147 | 1-Jan-41 | married | F | F: 110,000 – 129,999 |
| 451 | Ridley | Hackman | ITALY | 700 | Ridley.Hackman@ANHINGA.EXAMPLE.COM | 147 | 11-Jan-50 | single | F | H: 150,000 – 169,999 |
| 452 | Ridley | Coyote | ITALY | 700 | Ridley.Coyote@ANI.EXAMPLE.COM | 147 | 31-Jan-49 | married | M | F: 110,000 – 129,999 |
| 454 | Rob | Russell | INDIA | 5000 | Rob.Russell@VERDIN.EXAMPLE.COM | 148 | 2-Mar-77 | married | M | E: 90,000 – 109,999 |
| 458 | Robert | de Niro | INDIA | 3700 | Robert.deNiro@DOWITCHER.EXAMPLE.COM | 148 | 12-Mar-86 | single | F | H: 150,000 – 169,999 |
| 466 | Rodolfo | Hershey | INDIA | 5000 | Rodolfo.Hershey@VIREO.EXAMPLE.COM | 148 | 11-Apr-47 | single | M | F: 110,000 – 129,999 |
| 467 | Rodolfo | Dench | INDIA | 5000 | Rodolfo.Dench@SCOTER.EXAMPLE.COM | 148 | 1-May-71 | married | F | F: 110,000 – 129,999 |
| 468 | Rodolfo | Altman | INDIA | 5000 | Rodolfo.Altman@SHRIKE.EXAMPLE.COM | 148 | 11-May-83 | single | F | F: 110,000 – 129,999 |
| 189 | Gena | Harris | AMERICA | 1200 | Gena.Harris@PIPIT.EXAMPLE.COM | 149 | 30-Jan-55 | married | M | F: 110,000 – 129,999 |
| 190 | Gena | Curtis | AMERICA | 1200 | Gena.Curtis@PLOVER.EXAMPLE.COM | 149 | 9-Feb-82 | single | M | J: 190,000 – 249,999 |
| 191 | Maureen | Sanders | AMERICA | 1200 | Maureen.Sanders@PUFFIN.EXAMPLE.COM | 149 | 29-Feb-24 | married | M | A: Below 30,000 |
| 192 | Sean | Stockwell | AMERICA | 1200 | Sean.Stockwell@PYRRHULOXIA.EXAMPLE.COM | 149 | 30-Mar-56 | married | M | I: 170,000 – 189,999 |
| 193 | Harry dean | Kinski | AMERICA | 1200 | Harrydean.Kinski@REDPOLL.EXAMPLE.COM | 149 | 30-Apr-55 | married | M | D: 70,000 – 89,999 |
| 194 | Kathleen | Garcia | AMERICA | 1200 | Kathleen.Garcia@REDSTART.EXAMPLE.COM | 149 | 30-May-71 | married | F | I: 170,000 – 189,999 |
| 195 | Sean | Olin | AMERICA | 1200 | Sean.Olin@SCAUP.EXAMPLE.COM | 149 | 9-Jun-86 | single | F | F: 110,000 – 129,999 |
| 196 | Gerard | Dench | AMERICA | 1200 | Gerard.Dench@SCOTER.EXAMPLE.COM | 149 | 29-Jun-53 | married | F | E: 90,000 – 109,999 |
| 197 | Gerard | Altman | AMERICA | 1200 | Gerard.Altman@SHRIKE.EXAMPLE.COM | 149 | 8-Jul-84 | single | F | F: 110,000 – 129,999 |
| 198 | Maureen | de Funes | AMERICA | 1200 | Maureen.deFunes@SISKIN.EXAMPLE.COM | 149 | 29-Jul-49 | married | F | D: 70,000 – 89,999 |
| 199 | Clint | Chapman | AMERICA | 1400 | Clint.Chapman@SNIPE.EXAMPLE.COM | 149 | 7-Aug-52 | single | F | F: 110,000 – 129,999 |
| 200 | Clint | Gielgud | AMERICA | 1400 | Clint.Gielgud@STILT.EXAMPLE.COM | 149 | 28-Aug-78 | married | F | E: 90,000 – 109,999 |
| 201 | Eric | Prashant | AMERICA | 1400 | Eric.Prashant@TATTLER.EXAMPLE.COM | 149 | 27-Sep-43 | married | F | C: 50,000 – 69,999 |
| 202 | Ingrid | Welles | AMERICA | 1400 | Ingrid.Welles@TEAL.EXAMPLE.COM | 149 | 27-Oct-39 | married | M | D: 70,000 – 89,999 |
| 203 | Ingrid | Rampling | AMERICA | 1400 | Ingrid.Rampling@WIGEON.EXAMPLE.COM | 149 | 5-Nov-48 | single | M | F: 110,000 – 129,999 |
| 204 | Cliff | Puri | AMERICA | 1400 | Cliff.Puri@CORMORANT.EXAMPLE.COM | 149 | 26-Nov-61 | married | M | J: 190,000 – 249,999 |
| 205 | Emily | Pollack | AMERICA | 1400 | Emily.Pollack@DIPPER.EXAMPLE.COM | 149 | 6-Dec-55 | single | M | L: 300,000 and above |
| 206 | Fritz | Hackman | AMERICA | 1400 | Fritz.Hackman@DUNLIN.EXAMPLE.COM | 149 | 26-Dec-83 | married | F | G: 130,000 – 149,999 |
| 207 | Cybill | Laughton | AMERICA | 1400 | Cybill.Laughton@EIDER.EXAMPLE.COM | 149 | 4-Jan-89 | single | M | F: 110,000 – 129,999 |
| 208 | Cyndi | Griem | AMERICA | 1400 | Cyndi.Griem@GALLINULE.EXAMPLE.COM | 149 | 25-Jan-56 | married | M | E: 90,000 – 109,999 |
| 209 | Cyndi | Collins | AMERICA | 1400 | Cyndi.Collins@GODWIT.EXAMPLE.COM | 149 | 4-Feb-46 | single | M | D: 70,000 – 89,999 |
| 210 | Cybill | Clapton | AMERICA | 1400 | Cybill.Clapton@GOLDENEYE.EXAMPLE.COM | 149 | 24-Feb-74 | married | F | D: 70,000 – 89,999 |
| 211 | Luchino | Jordan | AMERICA | 1500 | Luchino.Jordan@GREBE.EXAMPLE.COM | 149 | 6-Mar-83 | single | F | A: Below 30,000 |
| 213 | Luchino | Bradford | AMERICA | 1500 | Luchino.Bradford@PARULA.EXAMPLE.COM | 149 | 24-Apr-76 | married | M | A: Below 30,000 |
| 214 | Robin | Danson | AMERICA | 1500 | Robin.Danson@PHAINOPEPLA.EXAMPLE.COM | 149 | 5-May-46 | single | M | F: 110,000 – 129,999 |
| 215 | Orson | Perkins | AMERICA | 1900 | Orson.Perkins@PINTAIL.EXAMPLE.COM | 149 | 24-May-85 | married | M | E: 90,000 – 109,999 |
| 216 | Orson | Koirala | AMERICA | 1900 | Orson.Koirala@PIPIT.EXAMPLE.COM | 149 | 4-Jun-79 | single | F | J: 190,000 – 249,999 |
| 218 | Bryan | Dvrrie | AMERICA | 2300 | Bryan.Dvrrie@REDPOLL.EXAMPLE.COM | 149 | 4-Jul-66 | single | F | G: 130,000 – 149,999 |
| 219 | Ajay | Sen | AMERICA | 2300 | Ajay.Sen@TROGON.EXAMPLE.COM | 149 | 13-Jul-77 | single | M | K: 250,000 – 299,999 |
| 220 | Carol | Jordan | AMERICA | 2300 | Carol.Jordan@TURNSTONE.EXAMPLE.COM | 149 | 23-Jul-76 | married | M | I: 170,000 – 189,999 |
| 221 | Carol | Bradford | AMERICA | 2300 | Carol.Bradford@VERDIN.EXAMPLE.COM | 149 | 2-Aug-53 | single | M | G: 130,000 – 149,999 |
| 223 | Cary | Olin | AMERICA | 2300 | Cary.Olin@WATERTHRUSH.EXAMPLE.COM | 149 | 2-Sep-35 | single | M | D: 70,000 – 89,999 |
| 224 | Clara | Krige | AMERICA | 2300 | Clara.Krige@WHIMBREL.EXAMPLE.COM | 149 | 22-Sep-59 | married | M | H: 150,000 – 169,999 |
| 225 | Clara | Ganesan | AMERICA | 2300 | Clara.Ganesan@WIGEON.EXAMPLE.COM | 149 | 2-Oct-59 | single | F | I: 170,000 – 189,999 |
| 227 | Kathy | Prashant | AMERICA | 2400 | Kathy.Prashant@ANI.EXAMPLE.COM | 149 | 1-Nov-83 | single | M | J: 190,000 – 249,999 |
| 228 | Graham | Neeson | AMERICA | 2400 | Graham.Neeson@AUKLET.EXAMPLE.COM | 149 | 20-Nov-41 | married | M | E: 90,000 – 109,999 |
| 229 | Ian | Chapman | AMERICA | 2400 | Ian.Chapman@AVOCET.EXAMPLE.COM | 149 | 30-Nov-65 | single | M | D: 70,000 – 89,999 |
| 230 | Danny | Wright | AMERICA | 2400 | Danny.Wright@BITTERN.EXAMPLE.COM | 149 | 20-Dec-48 | married | M | F: 110,000 – 129,999 |
| 232 | Donald | Hunter | AMERICA | 2400 | Donald.Hunter@CHACHALACA.EXAMPLE.COM | 145 | 20-Jan-60 | married | M | G: 130,000 – 149,999 |
| 233 | Graham | Spielberg | AMERICA | 2400 | Graham.Spielberg@CHUKAR.EXAMPLE.COM | 145 | 29-Jan-70 | single | M | D: 70,000 – 89,999 |
| 234 | Dan | Roberts | AMERICA | 2400 | Dan.Roberts@NUTHATCH.EXAMPLE.COM | 145 | 18-Feb-73 | married | M | I: 170,000 – 189,999 |
| 235 | Edward | Oates | AMERICA | 2400 | Edward.Oates@OVENBIRD.EXAMPLE.COM | 145 | 21-Mar-55 | married | M | E: 90,000 – 109,999 |
| 236 | Edward | Julius | AMERICA | 2400 | Edward.Julius@PARULA.EXAMPLE.COM | 145 | 30-Mar-86 | single | M | F: 110,000 – 129,999 |
| 237 | Farrah | Quinlan | AMERICA | 2400 | Farrah.Quinlan@PHAINOPEPLA.EXAMPLE.COM | 145 | 19-Apr-48 | married | M | A: Below 30,000 |
| 238 | Farrah | Lange | AMERICA | 2400 | Farrah.Lange@PHALAROPE.EXAMPLE.COM | 145 | 19-May-81 | married | M | F: 110,000 – 129,999 |
| 239 | Hal | Stockwell | AMERICA | 2400 | Hal.Stockwell@PHOEBE.EXAMPLE.COM | 145 | 29-May-66 | single | M | H: 150,000 – 169,999 |
| 240 | Malcolm | Kanth | AMERICA | 2400 | Malcolm.Kanth@PIPIT.EXAMPLE.COM | 145 | 19-Jun-55 | married | F | H: 150,000 – 169,999 |
| 241 | Malcolm | Broderick | AMERICA | 2400 | Malcolm.Broderick@PLOVER.EXAMPLE.COM | 145 | 28-Jun-52 | single | M | F: 110,000 – 129,999 |
| 242 | Mary | Lemmon | AMERICA | 2400 | Mary.Lemmon@PUFFIN.EXAMPLE.COM | 145 | 18-Jul-62 | married | M | K: 250,000 – 299,999 |
| 243 | Mary | Collins | AMERICA | 2400 | Mary.Collins@PYRRHULOXIA.EXAMPLE.COM | 145 | 18-Aug-55 | married | F | F: 110,000 – 129,999 |
| 244 | Matt | Gueney | AMERICA | 2400 | Matt.Gueney@REDPOLL.EXAMPLE.COM | 145 | 27-Aug-52 | single | M | G: 130,000 – 149,999 |
| 245 | Max | von Sydow | AMERICA | 2400 | Max.vonSydow@REDSTART.EXAMPLE.COM | 145 | 7-Sep-67 | single | M | K: 250,000 – 299,999 |
| 246 | Max | Schell | AMERICA | 2400 | Max.Schell@SANDERLING.EXAMPLE.COM | 145 | 16-Sep-84 | married | M | F: 110,000 – 129,999 |
| 247 | Cynda | Whitcraft | AMERICA | 2400 | Cynda.Whitcraft@SANDPIPER.EXAMPLE.COM | 145 | 16-Oct-54 | married | M | B: 30,000 – 49,999 |
| 248 | Donald | Minnelli | AMERICA | 2400 | Donald.Minnelli@SCAUP.EXAMPLE.COM | 145 | 26-Oct-53 | single | M | F: 110,000 – 129,999 |
| 249 | Hannah | Broderick | AMERICA | 2400 | Hannah.Broderick@SHRIKE.EXAMPLE.COM | 145 | 16-Nov-75 | married | M | D: 70,000 – 89,999 |
| 250 | Dan | Williams | AMERICA | 2400 | Dan.Williams@SISKIN.EXAMPLE.COM | 145 | 25-Nov-84 | single | M | A: Below 30,000 |
| 251 | Raul | Wilder | AMERICA | 2500 | Raul.Wilder@STILT.EXAMPLE.COM | 145 | 15-Dec-45 | married | M | E: 90,000 – 109,999 |
| 252 | Shah Rukh | Field | AMERICA | 2500 | ShahRukh.Field@WHIMBREL.EXAMPLE.COM | 145 | 25-Dec-57 | single | M | I: 170,000 – 189,999 |
| 253 | Sally | Bogart | AMERICA | 2500 | Sally.Bogart@WILLET.EXAMPLE.COM | 145 | 14-Jan-85 | married | M | H: 150,000 – 169,999 |
| 254 | Bruce | Bates | AMERICA | 3500 | Bruce.Bates@COWBIRD.EXAMPLE.COM | 145 | 25-Jan-40 | single | M | D: 70,000 – 89,999 |
| 256 | Ben | de Niro | AMERICA | 3500 | Ben.deNiro@KINGLET.EXAMPLE.COM | 145 | 24-Feb-80 | single | M | I: 170,000 – 189,999 |
| 257 | Emmet | Walken | AMERICA | 3600 | Emmet.Walken@LIMPKIN.EXAMPLE.COM | 145 | 15-Mar-75 | married | M | B: 30,000 – 49,999 |
| 258 | Ellen | Palin | AMERICA | 3600 | Ellen.Palin@LONGSPUR.EXAMPLE.COM | 145 | 14-Apr-77 | married | M | H: 150,000 – 169,999 |
| 259 | Denholm | von Sydow | AMERICA | 3600 | Denholm.vonSydow@MERGANSER.EXAMPLE.COM | 145 | 24-Apr-43 | single | F | D: 70,000 – 89,999 |
| 261 | Emmet | Garcia | AMERICA | 3600 | Emmet.Garcia@VIREO.EXAMPLE.COM | 149 | 13-Jun-61 | married | M | H: 150,000 – 169,999 |
| 124 | Diane | Mason | AMERICA | 200 | Diane.Mason@TROGON.EXAMPLE.COM | 145 | 16-Mar-81 | married | F | K: 250,000 – 299,999 |
| 125 | Dianne | Andrews | AMERICA | 200 | Dianne.Andrews@TURNSTONE.EXAMPLE.COM | 145 | 27-Mar-59 | single | F | F: 110,000 – 129,999 |
| 126 | Charles | Field | AMERICA | 300 | Charles.Field@BECARD.EXAMPLE.COM | 145 | 16-Apr-46 | married | F | F: 110,000 – 129,999 |
| 128 | Isabella | Reed | AMERICA | 300 | Isabella.Reed@BRANT.EXAMPLE.COM | 145 | 16-May-54 | married | F | J: 190,000 – 249,999 |
| 129 | Louis | Jackson | AMERICA | 400 | Louis.Jackson@CARACARA.EXAMPLE.COM | 145 | 26-May-39 | single | M | D: 70,000 – 89,999 |
| 130 | Louis | Edwards | AMERICA | 400 | Louis.Edwards@CHACHALACA.EXAMPLE.COM | 145 | 14-Jun-44 | married | M | C: 50,000 – 69,999 |
| 131 | Doris | Dutt | AMERICA | 400 | Doris.Dutt@CHUKAR.EXAMPLE.COM | 145 | 14-Jul-76 | married | F | C: 50,000 – 69,999 |
| 133 | Kristin | Malden | AMERICA | 400 | Kristin.Malden@GODWIT.EXAMPLE.COM | 145 | 14-Aug-50 | married | F | C: 50,000 – 69,999 |
| 134 | Sissy | Puri | AMERICA | 400 | Sissy.Puri@GREBE.EXAMPLE.COM | 145 | 12-Sep-72 | married | F | F: 110,000 – 129,999 |
| 135 | Doris | Bel Geddes | AMERICA | 400 | Doris.BelGeddes@GROSBEAK.EXAMPLE.COM | 145 | 22-Sep-80 | single | F | B: 30,000 – 49,999 |
| 136 | Sissy | Warden | AMERICA | 400 | Sissy.Warden@JACANA.EXAMPLE.COM | 145 | 12-Oct-44 | married | F | F: 110,000 – 129,999 |
| 138 | Mani | Fonda | AMERICA | 500 | Mani.Fonda@KINGLET.EXAMPLE.COM | 145 | 11-Nov-77 | married | M | F: 110,000 – 129,999 |
| 139 | Placido | Kubrick | AMERICA | 500 | Placido.Kubrick@SCOTER.EXAMPLE.COM | 145 | 22-Nov-42 | single | M | F: 110,000 – 129,999 |
| 140 | Claudia | Kurosawa | AMERICA | 500 | Claudia.Kurosawa@CHUKAR.EXAMPLE.COM | 145 | 11-Dec-81 | married | M | E: 90,000 – 109,999 |
| 141 | Maximilian | Henner | AMERICA | 500 | Maximilian.Henner@DUNLIN.EXAMPLE.COM | 145 | 21-Dec-73 | single | M | H: 150,000 – 169,999 |
| 143 | Sachin | Neeson | AMERICA | 500 | Sachin.Neeson@GALLINULE.EXAMPLE.COM | 145 | 20-Jan-62 | single | M | F: 110,000 – 129,999 |
| 767 | Klaus Maria | Russell | ITALY | 100 | KlausMaria.Russell@COOT.EXAMPLE.COM | 147 | 20-Jan-70 | married | M | C: 50,000 – 69,999 |
| 771 | Kris | de Niro | ITALY | 400 | Kris.deNiro@DUNLIN.EXAMPLE.COM | 147 | 21-Mar-77 | married | M | E: 90,000 – 109,999 |
| 826 | Alain | Barkin | SWITZERLAND | 500 | Alain.Barkin@VERDIN.EXAMPLE.COM | 147 | 20-May-69 | married | M | A: Below 30,000 |
| 830 | Albert | Dutt | SWITZERLAND | 3500 | Albert.Dutt@CURLEW.EXAMPLE.COM | 147 | 29-Aug-47 | single | M | F: 110,000 – 129,999 |
| 850 | Amanda | Finney | SWITZERLAND | 2300 | Amanda.Finney@STILT.EXAMPLE.COM | 147 | 23-Aug-91 | single | M | J: 190,000 – 249,999 |
| 905 | Billy | Hershey | INDIA | 1400 | Billy.Hershey@BULBUL.EXAMPLE.COM | 148 | 22-Oct-87 | single | F | G: 130,000 – 149,999 |
| 911 | Bo | Dickinson | INDIA | 5000 | Bo.Dickinson@TANAGER.EXAMPLE.COM | 148 | 11-Dec-81 | married | M | H: 150,000 – 169,999 |
| 919 | Brooke | Michalkow | INDIA | 3500 | Brooke.Michalkow@GROSBEAK.EXAMPLE.COM | 148 | 19-Feb-62 | single | M | D: 70,000 – 89,999 |
| 924 | Bruno | Montand | INDIA | 5000 | Bruno.Montand@TOWHEE.EXAMPLE.COM | 148 | 20-Apr-34 | single | F | D: 70,000 – 89,999 |
| 930 | Buster | Jackson | INDIA | 900 | Buster.Jackson@KILLDEER.EXAMPLE.COM | 148 | 8-Jul-24 | married | M | A: Below 30,000 |
| 980 | Daniel | Loren | INDIA | 200 | Daniel.Loren@REDSTART.EXAMPLE.COM | 148 | 17-Sep-70 | single | M | F: 110,000 – 129,999 |
| 473 | Rolf | Ashby | INDIA | 5000 | Rolf.Ashby@WATERTHRUSH.EXAMPLE.COM | 148 | 10-Jun-49 | single | M | G: 130,000 – 149,999 |
| 474 | Romy | Sharif | INDIA | 5000 | Romy.Sharif@SNIPE.EXAMPLE.COM | 148 | 29-Jun-76 | married | M | F: 110,000 – 129,999 |
| 475 | Romy | McCarthy | INDIA | 5000 | Romy.McCarthy@STILT.EXAMPLE.COM | 148 | 10-Jul-33 | single | F | D: 70,000 – 89,999 |
| 476 | Rosanne | Hopkins | INDIA | 300 | Rosanne.Hopkins@ANI.EXAMPLE.COM | 148 | 30-Jul-79 | married | M | D: 70,000 – 89,999 |
| 477 | Rosanne | Douglas | INDIA | 300 | Rosanne.Douglas@ANHINGA.EXAMPLE.COM | 148 | 9-Aug-70 | single | F | F: 110,000 – 129,999 |
| 478 | Rosanne | Baldwin | INDIA | 300 | Rosanne.Baldwin@AUKLET.EXAMPLE.COM | 148 | 29-Aug-67 | married | F | A: Below 30,000 |
| 479 | Roxanne | Shepherd | INDIA | 1200 | Roxanne.Shepherd@DUNLIN.EXAMPLE.COM | 148 | 8-Sep-63 | single | F | I: 170,000 – 189,999 |
| 480 | Roxanne | Michalkow | INDIA | 1200 | Roxanne.Michalkow@EIDER.EXAMPLE.COM | 148 | 18-Sep-73 | single | M | L: 300,000 and above |
| 481 | Roy | Hulce | INDIA | 5000 | Roy.Hulce@SISKIN.EXAMPLE.COM | 148 | 28-Sep-67 | married | F | E: 90,000 – 109,999 |
| 482 | Roy | Dunaway | INDIA | 5000 | Roy.Dunaway@WHIMBREL.EXAMPLE.COM | 148 | 28-Oct-55 | married | F | F: 110,000 – 129,999 |
| 483 | Roy | Bates | INDIA | 5000 | Roy.Bates@WIGEON.EXAMPLE.COM | 148 | 7-Nov-42 | single | M | G: 130,000 – 149,999 |
| 487 | Rufus | Dvrrie | INDIA | 1900 | Rufus.Dvrrie@PLOVER.EXAMPLE.COM | 148 | 26-Nov-60 | married | M | J: 190,000 – 249,999 |
| 488 | Rufus | Belushi | INDIA | 1900 | Rufus.Belushi@PUFFIN.EXAMPLE.COM | 148 | 26-Dec-52 | married | M | G: 130,000 – 149,999 |
| 492 | Sally | Edwards | INDIA | 2500 | Sally.Edwards@TURNSTONE.EXAMPLE.COM | 148 | 6-Jan-80 | married | F | K: 250,000 – 299,999 |
| 496 | Scott | Jordan | INDIA | 5000 | Scott.Jordan@WILLET.EXAMPLE.COM | 148 | 25-Jan-45 | married | F | G: 130,000 – 149,999 |
| 605 | Shammi | Pacino | INDIA | 500 | Shammi.Pacino@BITTERN.EXAMPLE.COM | 148 | 5-Feb-59 | single | F | B: 30,000 – 49,999 |
| 606 | Sharmila | Kazan | INDIA | 500 | Sharmila.Kazan@BRANT.EXAMPLE.COM | 148 | 25-Feb-38 | married | F | D: 70,000 – 89,999 |
| 609 | Shelley | Taylor | INDIA | 3700 | Shelley.Taylor@CURLEW.EXAMPLE.COM | 148 | 26-Mar-57 | married | F | I: 170,000 – 189,999 |
| 615 | Shyam | Plummer | INDIA | 2500 | Shyam.Plummer@VEERY.EXAMPLE.COM | 148 | 25-Apr-69 | married | M | J: 190,000 – 249,999 |
| 621 | Silk | Kurosawa | INDIA | 1500 | Silk.Kurosawa@NUTHATCH.EXAMPLE.COM | 148 | 5-May-84 | single | F | G: 130,000 – 149,999 |
| 712 | M. Emmet | Stockwell | ITALY | 3700 | M.Emmet.Stockwell@COOT.EXAMPLE.COM | 147 | 5-Jun-83 | single | M | H: 150,000 – 169,999 |
| 713 | M. Emmet | Olin | ITALY | 3700 | M.Emmet.Olin@CORMORANT.EXAMPLE.COM | 147 | 24-Jun-48 | married | F | F: 110,000 – 129,999 |
| 717 | Mammutti | Sutherland | ITALY | 500 | Mammutti.Sutherland@TOWHEE.EXAMPLE.COM | 147 | 25-Jul-74 | married | M | D: 70,000 – 89,999 |
| 719 | Mani | Kazan | ITALY | 500 | Mani.Kazan@TROGON.EXAMPLE.COM | 147 | 4-Aug-62 | single | M | I: 170,000 – 189,999 |
| 721 | Mani | Buckley | ITALY | 500 | Mani.Buckley@TURNSTONE.EXAMPLE.COM | 147 | 23-Aug-44 | married | M | E: 90,000 – 109,999 |
| 729 | Margaux | Krige | ITALY | 2400 | Margaux.Krige@DUNLIN.EXAMPLE.COM | 147 | 23-Sep-42 | married | M | F: 110,000 – 129,999 |
| 731 | Margaux | Capshaw | ITALY | 2400 | Margaux.Capshaw@EIDER.EXAMPLE.COM | 147 | 2-Oct-33 | single | M | B: 30,000 – 49,999 |
| 754 | Kevin | Goodman | ITALY | 700 | Kevin.Goodman@WIGEON.EXAMPLE.COM | 147 | 22-Oct-48 | married | M | E: 90,000 – 109,999 |
| 756 | Kevin | Wilder | ITALY | 700 | Kevin.Wilder@AUKLET.EXAMPLE.COM | 147 | 2-Dec-86 | single | M | G: 130,000 – 149,999 |
| 757 | Kiefer | Reynolds | ITALY | 700 | Kiefer.Reynolds@AVOCET.EXAMPLE.COM | 147 | 21-Dec-53 | married | M | F: 110,000 – 129,999 |
| 766 | Klaus | Young | ITALY | 600 | Klaus.Young@OVENBIRD.EXAMPLE.COM | 147 | 1-Jan-55 | single | M | H: 150,000 – 169,999 |
| 768 | Klaus Maria | MacLaine | ITALY | 100 | KlausMaria.MacLaine@CHUKAR.EXAMPLE.COM | 147 | 31-Jan-80 | single | M | A: Below 30,000 |
| 769 | Kris | Harris | ITALY | 400 | Kris.Harris@DIPPER.EXAMPLE.COM | 147 | 19-Feb-49 | married | M | G: 130,000 – 149,999 |
| 770 | Kris | Curtis | ITALY | 400 | Kris.Curtis@DOWITCHER.EXAMPLE.COM | 147 | 2-Mar-55 | single | M | K: 250,000 – 299,999 |
| 772 | Kristin | Savage | ITALY | 400 | Kristin.Savage@CURLEW.EXAMPLE.COM | 147 | 1-Apr-43 | single | F | F: 110,000 – 129,999 |
| 782 | Laurence | Seignier | THAILAND | 1200 | Laurence.Seignier@CREEPER.EXAMPLE.COM | 149 | 21-Apr-83 | married | M | F: 110,000 – 129,999 |
| 825 | Alain | Dreyfuss | SWITZERLAND | 500 | Alain.Dreyfuss@VEERY.EXAMPLE.COM | 147 | 30-Apr-76 | single | M | J: 190,000 – 249,999 |
| 827 | Alain | Siegel | SWITZERLAND | 500 | Alain.Siegel@VIREO.EXAMPLE.COM | 147 | 19-Jun-73 | married | F | I: 170,000 – 189,999 |
| 828 | Alan | Minnelli | SWITZERLAND | 2300 | Alan.Minnelli@TANAGER.EXAMPLE.COM | 147 | 20-Jul-55 | married | M | D: 70,000 – 89,999 |
| 829 | Alan | Hunter | SWITZERLAND | 2300 | Alan.Hunter@TATTLER.EXAMPLE.COM | 147 | 19-Aug-59 | married | M | I: 170,000 – 189,999 |
| 831 | Albert | Bel Geddes | SWITZERLAND | 3500 | Albert.BelGeddes@DIPPER.EXAMPLE.COM | 147 | 17-Sep-52 | married | M | E: 90,000 – 109,999 |
| 832 | Albert | Spacek | SWITZERLAND | 3500 | Albert.Spacek@DOWITCHER.EXAMPLE.COM | 147 | 27-Sep-76 | single | M | F: 110,000 – 129,999 |
| 833 | Alec | Moranis | SWITZERLAND | 3500 | Alec.Moranis@DUNLIN.EXAMPLE.COM | 147 | 17-Oct-34 | married | M | D: 70,000 – 89,999 |
| 834 | Alec | Idle | SWITZERLAND | 3500 | Alec.Idle@EIDER.EXAMPLE.COM | 147 | 27-Oct-64 | single | M | F: 110,000 – 129,999 |
| 835 | Alexander | Eastwood | SWITZERLAND | 1200 | Alexander.Eastwood@AVOCET.EXAMPLE.COM | 147 | 16-Nov-42 | married | F | E: 90,000 – 109,999 |
| 836 | Alexander | Berenger | SWITZERLAND | 1200 | Alexander.Berenger@BECARD.EXAMPLE.COM | 147 | 16-Dec-52 | married | F | C: 50,000 – 69,999 |
| 837 | Alexander | Stanton | SWITZERLAND | 1200 | Alexander.Stanton@AUKLET.EXAMPLE.COM | 147 | 15-Jan-65 | married | F | D: 70,000 – 89,999 |
| 838 | Alfred | Nicholson | SWITZERLAND | 3500 | Alfred.Nicholson@CREEPER.EXAMPLE.COM | 147 | 25-Jan-85 | single | M | F: 110,000 – 129,999 |
| 839 | Alfred | Johnson | SWITZERLAND | 3500 | Alfred.Johnson@FLICKER.EXAMPLE.COM | 147 | 14-Feb-57 | married | M | J: 190,000 – 249,999 |
| 840 | Ali | Elliott | SWITZERLAND | 1400 | Ali.Elliott@ANHINGA.EXAMPLE.COM | 147 | 16-Mar-51 | married | M | G: 130,000 – 149,999 |
| 841 | Ali | Boyer | SWITZERLAND | 1400 | Ali.Boyer@WILLET.EXAMPLE.COM | 147 | 26-Mar-51 | single | M | F: 110,000 – 129,999 |
| 842 | Ali | Stern | SWITZERLAND | 1400 | Ali.Stern@YELLOWTHROAT.EXAMPLE.COM | 147 | 15-Apr-77 | married | M | E: 90,000 – 109,999 |
| 843 | Alice | Oates | SWITZERLAND | 700 | Alice.Oates@BECARD.EXAMPLE.COM | 147 | 25-Apr-59 | single | F | D: 70,000 – 89,999 |
| 844 | Alice | Julius | SWITZERLAND | 700 | Alice.Julius@BITTERN.EXAMPLE.COM | 147 | 15-May-44 | married | F | D: 70,000 – 89,999 |
| 845 | Ally | Fawcett | SWITZERLAND | 5000 | Ally.Fawcett@PLOVER.EXAMPLE.COM | 147 | 25-May-44 | single | F | A: Below 30,000 |
| 846 | Ally | Brando | SWITZERLAND | 5000 | Ally.Brando@PINTAIL.EXAMPLE.COM | 147 | 14-Jun-62 | married | F | L: 300,000 and above |
| 847 | Ally | Streep | SWITZERLAND | 5000 | Ally.Streep@PIPIT.EXAMPLE.COM | 147 | 14-Jul-42 | married | M | A: Below 30,000 |
| 848 | Alonso | Olmos | SWITZERLAND | 1800 | Alonso.Olmos@PHALAROPE.EXAMPLE.COM | 147 | 24-Jul-48 | single | F | F: 110,000 – 129,999 |
| 849 | Alonso | Kaurusmdki | SWITZERLAND | 1800 | Alonso.Kaurusmdki@PHOEBE.EXAMPLE.COM | 147 | 13-Aug-80 | married | F | E: 90,000 – 109,999 |
| 851 | Amanda | Brown | SWITZERLAND | 2300 | Amanda.Brown@THRASHER.EXAMPLE.COM | 147 | 12-Sep-51 | married | F | B: 30,000 – 49,999 |
| 852 | Amanda | Tanner | SWITZERLAND | 2300 | Amanda.Tanner@TEAL.EXAMPLE.COM | 147 | 22-Sep-53 | single | F | G: 130,000 – 149,999 |
| 853 | Amrish | Palin | SWITZERLAND | 400 | Amrish.Palin@EIDER.EXAMPLE.COM | 147 | 12-Oct-77 | married | F | I: 170,000 – 189,999 |
| 906 | Billy | Dench | INDIA | 1400 | Billy.Dench@CARACARA.EXAMPLE.COM | 148 | 11-Nov-58 | married | M | I: 170,000 – 189,999 |
| 909 | Blake | Mastroianni | INDIA | 1200 | Blake.Mastroianni@FLICKER.EXAMPLE.COM | 148 | 21-Nov-49 | single | M | D: 70,000 – 89,999 |
| 912 | Bo | Ashby | INDIA | 5000 | Bo.Ashby@TATTLER.EXAMPLE.COM | 148 | 21-Dec-56 | single | M | I: 170,000 – 189,999 |
| 913 | Bob | Sharif | INDIA | 5000 | Bob.Sharif@TEAL.EXAMPLE.COM | 148 | 10-Jan-85 | married | M | F: 110,000 – 129,999 |
| 916 | Brian | Douglas | INDIA | 500 | Brian.Douglas@AVOCET.EXAMPLE.COM | 148 | 20-Jan-78 | single | M | J: 190,000 – 249,999 |
| 917 | Brian | Baldwin | INDIA | 500 | Brian.Baldwin@BECARD.EXAMPLE.COM | 148 | 9-Feb-75 | married | M | E: 90,000 – 109,999 |
| 920 | Bruce | Hulce | INDIA | 3500 | Bruce.Hulce@JACANA.EXAMPLE.COM | 148 | 10-Mar-72 | married | M | F: 110,000 – 129,999 |
| 921 | Bruce | Dunaway | INDIA | 3500 | Bruce.Dunaway@JUNCO.EXAMPLE.COM | 148 | 20-Mar-48 | single | F | F: 110,000 – 129,999 |
| 923 | Bruno | Slater | INDIA | 5000 | Bruno.Slater@THRASHER.EXAMPLE.COM | 148 | 9-Apr-60 | married | F | G: 130,000 – 149,999 |
| 927 | Bryan | Belushi | INDIA | 2300 | Bryan.Belushi@TOWHEE.EXAMPLE.COM | 148 | 10-May-61 | married | M | I: 170,000 – 189,999 |
| 928 | Burt | Spielberg | INDIA | 5000 | Burt.Spielberg@TROGON.EXAMPLE.COM | 148 | 9-Jun-54 | married | M | E: 90,000 – 109,999 |
| 929 | Burt | Neeson | INDIA | 5000 | Burt.Neeson@TURNSTONE.EXAMPLE.COM | 148 | 19-Jun-78 | single | M | F: 110,000 – 129,999 |
| 931 | Buster | Edwards | INDIA | 900 | Buster.Edwards@KINGLET.EXAMPLE.COM | 148 | 8-Aug-47 | married | M | F: 110,000 – 129,999 |
| 932 | Buster | Bogart | INDIA | 900 | Buster.Bogart@KISKADEE.EXAMPLE.COM | 148 | 17-Aug-52 | single | M | H: 150,000 – 169,999 |
| 934 | C. Thomas | Nolte | INDIA | 600 | C.Thomas.Nolte@PHOEBE.EXAMPLE.COM | 148 | 7-Sep-59 | married | M | H: 150,000 – 169,999 |
| 981 | Daniel | Gueney | CHINA | 200 | Daniel.Gueney@REDPOLL.EXAMPLE.COM | 148 | 7-Oct-73 | married | M | K: 250,000 – 299,999 |
| 123 | Elizabeth | Brown | AMERICA | 200 | Elizabeth.Brown@THRASHER.EXAMPLE.COM | 145 | 24-Feb-49 | single | F | F: 110,000 – 129,999 |
| 127 | Charles | Broderick | AMERICA | 300 | Charles.Broderick@BITTERN.EXAMPLE.COM | 145 | 26-Apr-43 | single | F | B: 30,000 – 49,999 |
| 132 | Doris | Spacek | AMERICA | 400 | Doris.Spacek@FLICKER.EXAMPLE.COM | 145 | 25-Jul-87 | single | M | H: 150,000 – 169,999 |
| 137 | Elia | Brando | AMERICA | 500 | Elia.Brando@JUNCO.EXAMPLE.COM | 145 | 23-Oct-51 | single | M | H: 150,000 – 169,999 |
| 142 | Sachin | Spielberg | AMERICA | 500 | Sachin.Spielberg@GADWALL.EXAMPLE.COM | 145 | 11-Jan-71 | married | M | C: 50,000 – 69,999 |
| 163 | Ernest | Chandar | AMERICA | 900 | Ernest.Chandar@LIMPKIN.EXAMPLE.COM | 145 | 16-Dec-62 | single | M | H: 150,000 – 169,999 |
| 168 | Hema | Voight | AMERICA | 1200 | Hema.Voight@PHALAROPE.EXAMPLE.COM | 145 | 16-Mar-50 | single | M | H: 150,000 – 169,999 |
| 173 | Kathleen | Walken | AMERICA | 1200 | Kathleen.Walken@VIREO.EXAMPLE.COM | 145 | 4-Jun-73 | married | F | E: 90,000 – 109,999 |
| 178 | Grace | Belushi | AMERICA | 1200 | Grace.Belushi@KILLDEER.EXAMPLE.COM | 149 | 2-Sep-86 | married | M | H: 150,000 – 169,999 |
| 182 | Lauren | Dench | AMERICA | 1200 | Lauren.Dench@LONGSPUR.EXAMPLE.COM | 149 | 22-Oct-75 | single | M | K: 250,000 – 299,999 |
| 187 | Grace | Dvrrie | AMERICA | 1200 | Grace.Dvrrie@PHOEBE.EXAMPLE.COM | 149 | 31-Dec-48 | married | F | E: 90,000 – 109,999 |
| 212 | Luchino | Falk | AMERICA | 1500 | Luchino.Falk@OVENBIRD.EXAMPLE.COM | 149 | 25-Mar-72 | married | M | L: 300,000 and above |
| 217 | Bryan | Huston | AMERICA | 2300 | Bryan.Huston@PYRRHULOXIA.EXAMPLE.COM | 149 | 23-Jun-73 | married | F | B: 30,000 – 49,999 |
| 222 | Cary | Stockwell | AMERICA | 2300 | Cary.Stockwell@VIREO.EXAMPLE.COM | 149 | 23-Aug-63 | married | M | I: 170,000 – 189,999 |
| 226 | Ajay | Andrews | AMERICA | 2300 | Ajay.Andrews@YELLOWTHROAT.EXAMPLE.COM | 149 | 21-Oct-56 | married | M | F: 110,000 – 129,999 |
| 231 | Danny | Rourke | AMERICA | 2400 | Danny.Rourke@BRANT.EXAMPLE.COM | 145 | 31-Dec-47 | single | M | F: 110,000 – 129,999 |
| 255 | Brooke | Shepherd | AMERICA | 3500 | Brooke.Shepherd@KILLDEER.EXAMPLE.COM | 145 | 13-Feb-85 | married | M | C: 50,000 – 69,999 |
| 260 | Ellen | Khan | AMERICA | 3600 | Ellen.Khan@VERDIN.EXAMPLE.COM | 149 | 14-May-62 | married | M | F: 110,000 – 129,999 |
| 264 | George | Adjani | AMERICA | 3600 | George.Adjani@WILLET.EXAMPLE.COM | 149 | 12-Aug-47 | married | F | F: 110,000 – 129,999 |
| 269 | Kyle | Martin | AMERICA | 3700 | Kyle.Martin@EIDER.EXAMPLE.COM | 145 | 11-Oct-58 | married | F | D: 70,000 – 89,999 |
| 273 | Bo | Hitchcock | AMERICA | 5000 | Bo.Hitchcock@ANHINGA.EXAMPLE.COM | 145 | 9-Jan-54 | married | M | E: 90,000 – 109,999 |
| 339 | Marilou | Landis | ITALY | 500 | Marilou.Landis@TATTLER.EXAMPLE.COM | 147 | 13-Jan-33 | single | M | A: Below 30,000 |
| 344 | Marlon | Godard | JAPAN | 2400 | Marlon.Godard@MOORHEN.EXAMPLE.COM | 148 | 14-Mar-60 | single | M | H: 150,000 – 169,999 |
| 348 | Kelly | Lange | ITALY | 3600 | Kelly.Lange@SANDPIPER.EXAMPLE.COM | 147 | 14-May-71 | single | M | F: 110,000 – 129,999 |
| 352 | Kenneth | Redford | ITALY | 3600 | Kenneth.Redford@REDSTART.EXAMPLE.COM | 147 | 13-Jul-71 | single | F | B: 30,000 – 49,999 |
| 378 | Meg | Sen | THAILAND | 3700 | Meg.Sen@COWBIRD.EXAMPLE.COM | 149 | 30-Sep-53 | married | M | C: 50,000 – 69,999 |
| 449 | Rick | Romero | ITALY | 1500 | Rick.Romero@LONGSPUR.EXAMPLE.COM | 147 | 10-Dec-51 | single | F | B: 30,000 – 49,999 |
| 453 | Ridley | Young | INDIA | 700 | Ridley.Young@CHUKAR.EXAMPLE.COM | 148 | 10-Feb-45 | single | M | F: 110,000 – 129,999 |
| 463 | Robin | Adjani | INDIA | 1500 | Robin.Adjani@MOORHEN.EXAMPLE.COM | 148 | 1-Apr-49 | married | F | C: 50,000 – 69,999 |
| 470 | Roger | Mastroianni | INDIA | 3700 | Roger.Mastroianni@CREEPER.EXAMPLE.COM | 148 | 31-May-67 | married | M | L: 300,000 and above |
| 607 | Sharmila | Fonda | INDIA | 500 | Sharmila.Fonda@BUFFLEHEAD.EXAMPLE.COM | 148 | 6-Mar-49 | single | F | H: 150,000 – 169,999 |
| 627 | Sivaji | Gielgud | INDIA | 500 | Sivaji.Gielgud@BULBUL.EXAMPLE.COM | 148 | 25-May-49 | married | F | D: 70,000 – 89,999 |
| 715 | Malcolm | Field | ITALY | 2400 | Malcolm.Field@DOWITCHER.EXAMPLE.COM | 147 | 5-Jul-51 | single | F | G: 130,000 – 149,999 |
| 727 | Margaret | Ustinov | ITALY | 1200 | Margaret.Ustinov@ANHINGA.EXAMPLE.COM | 147 | 2-Sep-49 | single | M | H: 150,000 – 169,999 |
| 755 | Kevin | Cleveland | ITALY | 700 | Kevin.Cleveland@WILLET.EXAMPLE.COM | 147 | 21-Nov-81 | married | M | H: 150,000 – 169,999 |
oe.orders
For each order placed by a customer, various attributes are captured. There is one row per order.
| order_id | order_date | order_mode | customer_id | order_status | order_total | sales_rep_id | promotion_id |
|---|---|---|---|---|---|---|---|
| 2458 | 16-AUG-07 03.34.12.234359 PM | direct | 101 | 0 | 78279.6 | 153 | – |
| 2397 | 19-NOV-07 02.41.54.696211 PM | direct | 102 | 1 | 42283.2 | 154 | – |
| 2454 | 02-OCT-07 05.49.34.678340 PM | direct | 103 | 1 | 6653.4 | 154 | – |
| 2354 | 14-JUL-08 06.18.23.234567 PM | direct | 104 | 0 | 46257 | 155 | – |
| 2358 | 08-JAN-08 05.03.12.654278 PM | direct | 105 | 2 | 7826 | 155 | – |
| 2381 | 14-MAY-08 08.59.08.843679 PM | direct | 106 | 3 | 23034.6 | 156 | – |
| 2440 | 31-AUG-07 09.53.06.008765 PM | direct | 107 | 3 | 70576.9 | 156 | – |
| 2357 | 08-JAN-06 08.19.44.123456 PM | direct | 108 | 5 | 59872.4 | 158 | – |
| 2394 | 10-FEB-08 09.22.35.564789 PM | direct | 109 | 5 | 21863 | 158 | – |
| 2435 | 02-SEP-07 11.22.53.134567 PM | direct | 144 | 6 | 62303 | 159 | – |
| 2455 | 20-SEP-07 11.34.11.456789 AM | direct | 145 | 7 | 14087.5 | 160 | – |
| 2379 | 16-MAY-07 02.22.24.234567 AM | direct | 146 | 8 | 17848.2 | 161 | – |
| 2396 | 02-FEB-06 01.34.56.345678 AM | direct | 147 | 8 | 34930 | 161 | – |
| 2406 | 29-JUN-07 04.41.20.098765 AM | direct | 148 | 8 | 2854.2 | 161 | – |
| 2434 | 13-SEP-07 05.49.30.647893 AM | direct | 149 | 8 | 268651.8 | 161 | – |
| 2436 | 02-SEP-07 06.18.04.378034 AM | direct | 116 | 8 | 6394.8 | 161 | – |
| 2446 | 27-JUL-07 07.03.08.302945 AM | direct | 117 | 8 | 103679.3 | 161 | – |
| 2447 | 27-JUL-08 08.59.10.223344 AM | direct | 101 | 8 | 33893.6 | 161 | – |
| 2432 | 14-SEP-07 09.53.40.223345 AM | direct | 102 | 10 | 10523 | 163 | – |
| 2433 | 13-SEP-07 10.19.00.654279 AM | direct | 103 | 10 | 78 | 163 | – |
| 2355 | 26-JAN-06 09.22.51.962632 AM | online | 104 | 8 | 94513.5 | – | – |
| 2356 | 26-JAN-08 09.22.41.934562 AM | online | 105 | 5 | 29473.8 | – | – |
| 2359 | 08-JAN-06 09.34.13.112233 PM | online | 106 | 9 | 5543.1 | – | – |
| 2360 | 14-NOV-07 12.22.31.223344 PM | online | 107 | 4 | 990.4 | – | – |
| 2361 | 13-NOV-07 01.34.21.986210 PM | online | 108 | 8 | 120131.3 | – | – |
| 2362 | 13-NOV-07 02.41.10.619477 PM | online | 109 | 4 | 92829.4 | – | – |
| 2363 | 23-OCT-07 05.49.56.346122 PM | online | 144 | 0 | 10082.3 | – | – |
| 2364 | 28-AUG-07 06.18.45.942399 PM | online | 145 | 4 | 9500 | – | – |
| 2365 | 28-AUG-07 07.03.34.003399 PM | online | 146 | 9 | 27455.3 | – | – |
| 2366 | 28-AUG-07 08.59.23.144778 PM | online | 147 | 5 | 37319.4 | – | – |
| 2367 | 27-JUN-08 09.53.32.335522 PM | online | 148 | 10 | 144054.8 | – | – |
| 2368 | 26-JUN-08 10.19.43.190089 PM | online | 149 | 10 | 60065 | – | – |
| 2369 | 26-JUN-07 11.22.54.009932 PM | online | 116 | 0 | 11097.4 | – | – |
| 2370 | 27-JUN-08 12.22.11.647398 AM | online | 117 | 4 | 126 | – | – |
| 2371 | 16-MAY-07 01.34.56.113356 AM | online | 118 | 6 | 79405.6 | – | – |
| 2372 | 27-FEB-07 12.22.33.356789 AM | online | 119 | 9 | 16447.2 | – | – |
| 2373 | 27-FEB-08 01.34.51.220065 AM | online | 120 | 4 | 416 | – | – |
| 2374 | 27-FEB-08 02.41.45.109654 AM | online | 121 | 0 | 4797 | – | – |
| 2375 | 26-FEB-07 03.49.50.459233 AM | online | 122 | 2 | 103834.4 | – | – |
| 2376 | 07-JUN-07 06.18.08.883310 AM | online | 123 | 6 | 11006.2 | – | – |
| 2377 | 07-JUN-07 07.03.01.001100 AM | online | 141 | 5 | 38017.8 | – | – |
| 2378 | 24-MAY-07 08.59.10.010101 AM | online | 142 | 5 | 25691.3 | – | – |
| 2380 | 16-MAY-07 09.53.02.909090 AM | online | 143 | 3 | 27132.6 | – | – |
| 2382 | 14-MAY-08 10.19.03.828321 AM | online | 144 | 8 | 71173 | – | – |
| 2383 | 12-MAY-08 11.22.30.545103 AM | online | 145 | 8 | 36374.7 | – | – |
| 2384 | 12-MAY-08 12.22.34.525972 PM | online | 146 | 3 | 29249.1 | – | – |
| 2385 | 08-DEC-07 11.34.11.331392 AM | online | 147 | 4 | 295892 | – | – |
| 2386 | 06-DEC-07 12.22.34.225609 PM | online | 148 | 10 | 21116.9 | – | – |
| 2387 | 11-MAR-07 03.34.56.536966 PM | online | 149 | 5 | 52758.9 | – | – |
| 2388 | 04-JUN-07 04.41.12.554435 PM | online | 150 | 4 | 282694.3 | – | – |
| 2389 | 04-JUN-08 05.49.43.546954 PM | online | 151 | 4 | 17620 | – | – |
| 2390 | 18-NOV-07 04.18.50.546851 PM | online | 152 | 9 | 7616.8 | – | – |
| 2391 | 27-FEB-06 05.03.03.828330 PM | direct | 153 | 2 | 48070.6 | 156 | – |
| 2392 | 21-JUL-07 08.59.57.571057 PM | direct | 154 | 9 | 26632 | 161 | – |
| 2393 | 10-FEB-08 07.53.19.528202 PM | direct | 155 | 4 | 23431.9 | 161 | – |
| 2395 | 02-FEB-06 08.19.11.227550 PM | direct | 156 | 3 | 68501 | 163 | – |
| 2398 | 19-NOV-07 09.22.53.224175 PM | direct | 157 | 9 | 7110.3 | 163 | – |
| 2399 | 19-NOV-07 10.22.38.340990 PM | direct | 158 | 0 | 25270.3 | 161 | – |
| 2400 | 10-JUL-07 01.34.29.559387 AM | direct | 159 | 2 | 69286.4 | 161 | – |
| 2401 | 10-JUL-07 02.22.53.554822 AM | direct | 160 | 3 | 969.2 | 163 | – |
| 2402 | 02-JUL-07 03.34.44.665170 AM | direct | 161 | 8 | 600 | 154 | – |
| 2403 | 01-JUL-07 04.49.13.615512 PM | direct | 162 | 0 | 220 | 154 | – |
| 2404 | 01-JUL-07 04.49.13.664085 PM | direct | 163 | 6 | 510 | 158 | – |
| 2405 | 01-JUL-07 04.49.13.678123 PM | direct | 164 | 5 | 1233 | 159 | – |
| 2407 | 29-JUN-07 07.03.21.526005 AM | direct | 165 | 9 | 2519 | 155 | – |
| 2408 | 29-JUN-07 08.59.31.333617 AM | direct | 166 | 1 | 309 | 158 | – |
| 2409 | 29-JUN-07 09.53.41.984501 AM | direct | 167 | 2 | 48 | 154 | – |
| 2410 | 24-MAY-08 10.19.51.985501 AM | direct | 168 | 6 | 45175 | 156 | – |
| 2411 | 24-MAY-07 11.22.10.548639 AM | direct | 169 | 8 | 15760.5 | 156 | – |
| 2412 | 29-MAR-06 10.22.09.509801 AM | direct | 170 | 9 | 66816 | 158 | – |
| 2413 | 29-MAR-08 01.34.04.525934 PM | direct | 101 | 5 | 48552 | 161 | – |
| 2414 | 29-MAR-07 02.22.40.536996 PM | direct | 102 | 8 | 10794.6 | 153 | – |
| 2415 | 29-MAR-06 01.34.50.545196 PM | direct | 103 | 6 | 310 | 161 | – |
| 2416 | 29-MAR-07 04.41.20.945676 PM | direct | 104 | 6 | 384 | 160 | – |
| 2417 | 20-MAR-07 05.49.10.974352 PM | direct | 105 | 5 | 1926.6 | 163 | – |
| 2418 | 20-MAR-04 04.18.21.862632 PM | direct | 106 | 4 | 5546.6 | 163 | – |
| 2419 | 20-MAR-07 07.03.32.764632 PM | direct | 107 | 3 | 31574 | 160 | – |
| 2420 | 13-MAR-07 08.59.43.666320 PM | direct | 108 | 2 | 29750 | 160 | – |
| 2421 | 12-MAR-07 09.53.54.562432 PM | direct | 109 | 1 | 72836 | – | – |
| 2422 | 16-DEC-07 08.19.55.462332 PM | direct | 144 | 2 | 11188.5 | 153 | – |
| 2423 | 21-NOV-07 10.22.33.362632 AM | direct | 145 | 3 | 10367.7 | 160 | – |
| 2424 | 21-NOV-07 10.22.33.263332 AM | direct | 146 | 4 | 13824 | 153 | – |
| 2425 | 16-NOV-06 11.34.22.162552 PM | direct | 147 | 5 | 1500.8 | 163 | – |
| 2426 | 17-NOV-06 12.22.11.262552 AM | direct | 148 | 6 | 7200 | – | – |
| 2427 | 10-NOV-07 01.34.22.362124 AM | direct | 149 | 7 | 9055 | 163 | – |
| 2428 | 10-NOV-07 02.41.34.463567 AM | direct | 116 | 8 | 14685.8 | – | – |
| 2429 | 10-NOV-07 03.49.25.526321 AM | direct | 117 | 9 | 50125 | 154 | – |
| 2430 | 02-OCT-07 06.18.36.663332 AM | direct | 101 | 8 | 29669.9 | 159 | – |
| 2431 | 14-SEP-06 07.03.04.763452 AM | direct | 102 | 1 | 5610.6 | 163 | – |
| 2437 | 01-SEP-06 08.59.15.826132 AM | direct | 103 | 4 | 13550 | 163 | – |
| 2438 | 01-SEP-07 09.53.26.934626 AM | direct | 104 | 0 | 5451 | 154 | – |
| 2439 | 31-AUG-07 10.19.37.811132 AM | direct | 105 | 1 | 22150.1 | 159 | – |
| 2441 | 01-AUG-08 11.22.48.734526 AM | direct | 106 | 5 | 2075.2 | 160 | – |
| 2442 | 27-JUL-06 12.22.59.662632 PM | direct | 107 | 9 | 52471.9 | 154 | – |
| 2443 | 27-JUL-06 01.34.16.562632 PM | direct | 108 | 0 | 3646 | 154 | – |
| 2444 | 27-JUL-07 02.22.27.462632 PM | direct | 109 | 1 | 77727.2 | 155 | – |
| 2445 | 27-JUL-06 03.34.38.362632 PM | direct | 144 | 8 | 5537.8 | 158 | – |
| 2448 | 18-JUN-07 04.41.49.262632 PM | direct | 145 | 5 | 1388 | 158 | – |
| 2449 | 13-JUN-07 05.49.07.162632 PM | direct | 146 | 6 | 86 | 155 | – |
| 2450 | 11-APR-07 06.18.10.362632 PM | direct | 147 | 3 | 1636 | 159 | – |
| 2451 | 17-DEC-07 05.03.52.562632 PM | direct | 148 | 7 | 10474.6 | 154 | – |
| 2452 | 06-OCT-07 08.59.43.462632 PM | direct | 149 | 5 | 12589 | 159 | – |
| 2453 | 04-OCT-07 09.53.34.362632 PM | direct | 116 | 0 | 129 | 153 | – |
| 2456 | 07-NOV-06 07.53.25.989889 PM | direct | 117 | 0 | 3878.4 | 163 | – |
| 2457 | 31-OCT-07 11.22.16.162632 PM | direct | 118 | 5 | 21586.2 | 159 | – |
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_id | cust_first_name | cust_last_name | cust_email |
|---|---|---|---|
| 144 | Sivaji | Landis | Sivaji.Landis@GOLDENEYE.EXAMPLE.COM |
| 145 | Mammutti | Pacino | Mammutti.Pacino@GREBE.EXAMPLE.COM |
| 146 | Elia | Fawcett | Elia.Fawcett@JACANA.EXAMPLE.COM |
| 147 | Ishwarya | Roberts | Ishwarya.Roberts@LAPWING.EXAMPLE.COM |
| 148 | Gustav | Steenburgen | Gustav.Steenburgen@PINTAIL.EXAMPLE.COM |
| 149 | Markus | Rampling | Markus.Rampling@PUFFIN.EXAMPLE.COM |
| 150 | Goldie | Slater | Goldie.Slater@PYRRHULOXIA.EXAMPLE.COM |
| 151 | Divine | Aykroyd | Divine.Aykroyd@REDSTART.EXAMPLE.COM |
| 152 | Dieter | Matthau | Dieter.Matthau@VERDIN.EXAMPLE.COM |
| 153 | Divine | Sheen | Divine.Sheen@COWBIRD.EXAMPLE.COM |
| 154 | Frederic | Grodin | Frederic.Grodin@CREEPER.EXAMPLE.COM |
| 155 | Frederico | Romero | Frederico.Romero@CURLEW.EXAMPLE.COM |
| 156 | Goldie | Montand | Goldie.Montand@DIPPER.EXAMPLE.COM |
| 157 | Sidney | Capshaw | Sidney.Capshaw@DUNLIN.EXAMPLE.COM |
| 158 | Frederico | Lyon | Frederico.Lyon@FLICKER.EXAMPLE.COM |
| 159 | Eddie | Boyer | Eddie.Boyer@GALLINULE.EXAMPLE.COM |
| 160 | Eddie | Stern | Eddie.Stern@GODWIT.EXAMPLE.COM |
| 161 | Ernest | Weaver | Ernest.Weaver@GROSBEAK.EXAMPLE.COM |
| 162 | Ernest | George | Ernest.George@LAPWING.EXAMPLE.COM |
| 164 | Charlotte | Kazan | Charlotte.Kazan@MERGANSER.EXAMPLE.COM |
| 165 | Charlotte | Fonda | Charlotte.Fonda@MOORHEN.EXAMPLE.COM |
| 166 | Dheeraj | Alexander | Dheeraj.Alexander@NUTHATCH.EXAMPLE.COM |
| 167 | Gerard | Hershey | Gerard.Hershey@PARULA.EXAMPLE.COM |
| 169 | Dheeraj | Davis | Dheeraj.Davis@PIPIT.EXAMPLE.COM |
| 170 | Harry Dean | Fonda | HarryDean.Fonda@PLOVER.EXAMPLE.COM |
| 171 | Hema | Powell | Hema.Powell@SANDERLING.EXAMPLE.COM |
| 172 | Harry Mean | Peckinpah | HarryMean.Peckinpah@VERDIN.EXAMPLE.COM |
| 174 | Blake | Seignier | Blake.Seignier@GALLINULE.EXAMPLE.COM |
| 175 | Claude | Powell | Claude.Powell@GODWIT.EXAMPLE.COM |
| 176 | Faye | Glenn | Faye.Glenn@GREBE.EXAMPLE.COM |
| 177 | Gerhard | Seignier | Gerhard.Seignier@JACANA.EXAMPLE.COM |
| 179 | Harry dean | Forrest | Harrydean.Forrest@KISKADEE.EXAMPLE.COM |
| 180 | Harry dean | Cage | Harrydean.Cage@LAPWING.EXAMPLE.COM |
| 181 | Lauren | Hershey | Lauren.Hershey@LIMPKIN.EXAMPLE.COM |
| 183 | Lauren | Altman | Lauren.Altman@MERGANSER.EXAMPLE.COM |
| 184 | Mary Beth | Roberts | MaryBeth.Roberts@NUTHATCH.EXAMPLE.COM |
| 262 | Fred | Reynolds | Fred.Reynolds@WATERTHRUSH.EXAMPLE.COM |
| 263 | Fred | Lithgow | Fred.Lithgow@WHIMBREL.EXAMPLE.COM |
| 265 | Irene | Laughton | Irene.Laughton@ANHINGA.EXAMPLE.COM |
| 266 | Prem | Cardinale | Prem.Cardinale@BITTERN.EXAMPLE.COM |
| 267 | Prem | Walken | Prem.Walken@BRANT.EXAMPLE.COM |
| 268 | Kyle | Schneider | Kyle.Schneider@DUNLIN.EXAMPLE.COM |
| 270 | Meg | Derek | Meg.Derek@FLICKER.EXAMPLE.COM |
| 271 | Shelley | Peckinpah | Shelley.Peckinpah@GODWIT.EXAMPLE.COM |
| 272 | Prem | Garcia | Prem.Garcia@JACANA.EXAMPLE.COM |
| 274 | Bob | McCarthy | Bob.McCarthy@ANI.EXAMPLE.COM |
| 275 | Dom | McQueen | Dom.McQueen@AUKLET.EXAMPLE.COM |
| 276 | Dom | Hoskins | Dom.Hoskins@AVOCET.EXAMPLE.COM |
| 101 | Constantin | Welles | Constantin.Welles@ANHINGA.EXAMPLE.COM |
| 102 | Harrison | Pacino | Harrison.Pacino@ANI.EXAMPLE.COM |
| 103 | Manisha | Taylor | Manisha.Taylor@AUKLET.EXAMPLE.COM |
| 104 | Harrison | Sutherland | Harrison.Sutherland@GODWIT.EXAMPLE.COM |
| 105 | Matthias | MacGraw | Matthias.MacGraw@GOLDENEYE.EXAMPLE.COM |
| 106 | Matthias | Hannah | Matthias.Hannah@GREBE.EXAMPLE.COM |
| 107 | Matthias | Cruise | Matthias.Cruise@GROSBEAK.EXAMPLE.COM |
| 108 | Meenakshi | Mason | Meenakshi.Mason@JACANA.EXAMPLE.COM |
| 109 | Christian | Cage | Christian.Cage@KINGLET.EXAMPLE.COM |
| 110 | Charlie | Sutherland | Charlie.Sutherland@LIMPKIN.EXAMPLE.COM |
| 111 | Charlie | Pacino | Charlie.Pacino@LONGSPUR.EXAMPLE.COM |
| 112 | Guillaume | Jackson | Guillaume.Jackson@MOORHEN.EXAMPLE.COM |
| 113 | Daniel | Costner | Daniel.Costner@PARULA.EXAMPLE.COM |
| 114 | Dianne | Derek | Dianne.Derek@SAW-WHET.EXAMPLE.COM |
| 115 | Geraldine | Schneider | Geraldine.Schneider@SCAUP.EXAMPLE.COM |
| 116 | Geraldine | Martin | Geraldine.Martin@SCOTER.EXAMPLE.COM |
| 117 | Guillaume | Edwards | Guillaume.Edwards@SHRIKE.EXAMPLE.COM |
| 118 | Maurice | Mahoney | Maurice.Mahoney@SNIPE.EXAMPLE.COM |
| 119 | Maurice | Hasan | Maurice.Hasan@STILT.EXAMPLE.COM |
| 120 | Diane | Higgins | Diane.Higgins@TANAGER.EXAMPLE.COM |
| 121 | Dianne | Sen | Dianne.Sen@TATTLER.EXAMPLE.COM |
| 122 | Maurice | Daltrey | Maurice.Daltrey@TEAL.EXAMPLE.COM |
| 185 | Matthew | Wright | Matthew.Wright@OVENBIRD.EXAMPLE.COM |
| 186 | Meena | Alexander | Meena.Alexander@PARULA.EXAMPLE.COM |
| 188 | Charlotte | Buckley | Charlotte.Buckley@PINTAIL.EXAMPLE.COM |
| 277 | Don | Siegel | Don.Siegel@BITTERN.EXAMPLE.COM |
| 278 | Gvtz | Bradford | Gvtz.Bradford@BULBUL.EXAMPLE.COM |
| 279 | Holly | Kurosawa | Holly.Kurosawa@CARACARA.EXAMPLE.COM |
| 280 | Rob | MacLaine | Rob.MacLaine@COOT.EXAMPLE.COM |
| 281 | Don | Barkin | Don.Barkin@CORMORANT.EXAMPLE.COM |
| 282 | Kurt | Danson | Kurt.Danson@COWBIRD.EXAMPLE.COM |
| 283 | Kurt | Heard | Kurt.Heard@CURLEW.EXAMPLE.COM |
| 308 | Glenda | Dunaway | Glenda.Dunaway@DOWITCHER.EXAMPLE.COM |
| 309 | Glenda | Bates | Glenda.Bates@DIPPER.EXAMPLE.COM |
| 323 | Goetz | Falk | Goetz.Falk@VEERY.EXAMPLE.COM |
| 326 | Hal | Olin | Hal.Olin@FLICKER.EXAMPLE.COM |
| 327 | Hannah | Kanth | Hannah.Kanth@GADWALL.EXAMPLE.COM |
| 328 | Hannah | Field | Hannah.Field@GALLINULE.EXAMPLE.COM |
| 333 | Margret | Powell | Margret.Powell@ANI.EXAMPLE.COM |
| 334 | Harry Mean | Taylor | HarryMean.Taylor@REDPOLL.EXAMPLE.COM |
| 335 | Margrit | Garner | Margrit.Garner@STILT.EXAMPLE.COM |
| 337 | Maria | Warden | Maria.Warden@TANAGER.EXAMPLE.COM |
| 361 | Marilou | Chapman | Marilou.Chapman@TEAL.EXAMPLE.COM |
| 363 | Kathy | Lambert | Kathy.Lambert@COOT.EXAMPLE.COM |
| 360 | Helmut | Capshaw | Helmut.Capshaw@TROGON.EXAMPLE.COM |
| 341 | Keir | George | Keir.George@VIREO.EXAMPLE.COM |
| 342 | Marlon | Laughton | Marlon.Laughton@CORMORANT.EXAMPLE.COM |
| 343 | Keir | Chandar | Keir.Chandar@WATERTHRUSH.EXAMPLE.COM |
| 345 | Keir | Weaver | Keir.Weaver@WHIMBREL.EXAMPLE.COM |
| 346 | Marlon | Clapton | Marlon.Clapton@COWBIRD.EXAMPLE.COM |
| 347 | Kelly | Quinlan | Kelly.Quinlan@PYRRHULOXIA.EXAMPLE.COM |
| 349 | Ken | Glenn | Ken.Glenn@SAW-WHET.EXAMPLE.COM |
| 350 | Ken | Chopra | Ken.Chopra@SCAUP.EXAMPLE.COM |
| 351 | Ken | Wenders | Ken.Wenders@REDPOLL.EXAMPLE.COM |
| 380 | Meryl | Holden | Meryl.Holden@DIPPER.EXAMPLE.COM |
| 447 | Richard | Coppola | Richard.Coppola@SISKIN.EXAMPLE.COM |
| 448 | Richard | Winters | Richard.Winters@SNIPE.EXAMPLE.COM |
| 450 | Rick | Lyon | Rick.Lyon@MERGANSER.EXAMPLE.COM |
| 451 | Ridley | Hackman | Ridley.Hackman@ANHINGA.EXAMPLE.COM |
| 452 | Ridley | Coyote | Ridley.Coyote@ANI.EXAMPLE.COM |
| 454 | Rob | Russell | Rob.Russell@VERDIN.EXAMPLE.COM |
| 458 | Robert | de Niro | Robert.deNiro@DOWITCHER.EXAMPLE.COM |
| 466 | Rodolfo | Hershey | Rodolfo.Hershey@VIREO.EXAMPLE.COM |
| 467 | Rodolfo | Dench | Rodolfo.Dench@SCOTER.EXAMPLE.COM |
| 468 | Rodolfo | Altman | Rodolfo.Altman@SHRIKE.EXAMPLE.COM |
| 189 | Gena | Harris | Gena.Harris@PIPIT.EXAMPLE.COM |
| 190 | Gena | Curtis | Gena.Curtis@PLOVER.EXAMPLE.COM |
| 191 | Maureen | Sanders | Maureen.Sanders@PUFFIN.EXAMPLE.COM |
| 192 | Sean | Stockwell | Sean.Stockwell@PYRRHULOXIA.EXAMPLE.COM |
| 193 | Harry dean | Kinski | Harrydean.Kinski@REDPOLL.EXAMPLE.COM |
| 194 | Kathleen | Garcia | Kathleen.Garcia@REDSTART.EXAMPLE.COM |
| 195 | Sean | Olin | Sean.Olin@SCAUP.EXAMPLE.COM |
| 196 | Gerard | Dench | Gerard.Dench@SCOTER.EXAMPLE.COM |
| 197 | Gerard | Altman | Gerard.Altman@SHRIKE.EXAMPLE.COM |
| 198 | Maureen | de Funes | Maureen.deFunes@SISKIN.EXAMPLE.COM |
| 199 | Clint | Chapman | Clint.Chapman@SNIPE.EXAMPLE.COM |
| 200 | Clint | Gielgud | Clint.Gielgud@STILT.EXAMPLE.COM |
| 201 | Eric | Prashant | Eric.Prashant@TATTLER.EXAMPLE.COM |
| 202 | Ingrid | Welles | Ingrid.Welles@TEAL.EXAMPLE.COM |
| 203 | Ingrid | Rampling | Ingrid.Rampling@WIGEON.EXAMPLE.COM |
| 204 | Cliff | Puri | Cliff.Puri@CORMORANT.EXAMPLE.COM |
| 205 | Emily | Pollack | Emily.Pollack@DIPPER.EXAMPLE.COM |
| 206 | Fritz | Hackman | Fritz.Hackman@DUNLIN.EXAMPLE.COM |
| 207 | Cybill | Laughton | Cybill.Laughton@EIDER.EXAMPLE.COM |
| 208 | Cyndi | Griem | Cyndi.Griem@GALLINULE.EXAMPLE.COM |
| 209 | Cyndi | Collins | Cyndi.Collins@GODWIT.EXAMPLE.COM |
| 210 | Cybill | Clapton | Cybill.Clapton@GOLDENEYE.EXAMPLE.COM |
| 211 | Luchino | Jordan | Luchino.Jordan@GREBE.EXAMPLE.COM |
| 213 | Luchino | Bradford | Luchino.Bradford@PARULA.EXAMPLE.COM |
| 214 | Robin | Danson | Robin.Danson@PHAINOPEPLA.EXAMPLE.COM |
| 215 | Orson | Perkins | Orson.Perkins@PINTAIL.EXAMPLE.COM |
| 216 | Orson | Koirala | Orson.Koirala@PIPIT.EXAMPLE.COM |
| 218 | Bryan | Dvrrie | Bryan.Dvrrie@REDPOLL.EXAMPLE.COM |
| 219 | Ajay | Sen | Ajay.Sen@TROGON.EXAMPLE.COM |
| 220 | Carol | Jordan | Carol.Jordan@TURNSTONE.EXAMPLE.COM |
| 221 | Carol | Bradford | Carol.Bradford@VERDIN.EXAMPLE.COM |
| 223 | Cary | Olin | Cary.Olin@WATERTHRUSH.EXAMPLE.COM |
| 224 | Clara | Krige | Clara.Krige@WHIMBREL.EXAMPLE.COM |
| 225 | Clara | Ganesan | Clara.Ganesan@WIGEON.EXAMPLE.COM |
| 227 | Kathy | Prashant | Kathy.Prashant@ANI.EXAMPLE.COM |
| 228 | Graham | Neeson | Graham.Neeson@AUKLET.EXAMPLE.COM |
| 229 | Ian | Chapman | Ian.Chapman@AVOCET.EXAMPLE.COM |
| 230 | Danny | Wright | Danny.Wright@BITTERN.EXAMPLE.COM |
| 232 | Donald | Hunter | Donald.Hunter@CHACHALACA.EXAMPLE.COM |
| 233 | Graham | Spielberg | Graham.Spielberg@CHUKAR.EXAMPLE.COM |
| 234 | Dan | Roberts | Dan.Roberts@NUTHATCH.EXAMPLE.COM |
| 235 | Edward | Oates | Edward.Oates@OVENBIRD.EXAMPLE.COM |
| 236 | Edward | Julius | Edward.Julius@PARULA.EXAMPLE.COM |
| 237 | Farrah | Quinlan | Farrah.Quinlan@PHAINOPEPLA.EXAMPLE.COM |
| 238 | Farrah | Lange | Farrah.Lange@PHALAROPE.EXAMPLE.COM |
| 239 | Hal | Stockwell | Hal.Stockwell@PHOEBE.EXAMPLE.COM |
| 240 | Malcolm | Kanth | Malcolm.Kanth@PIPIT.EXAMPLE.COM |
| 241 | Malcolm | Broderick | Malcolm.Broderick@PLOVER.EXAMPLE.COM |
| 242 | Mary | Lemmon | Mary.Lemmon@PUFFIN.EXAMPLE.COM |
| 243 | Mary | Collins | Mary.Collins@PYRRHULOXIA.EXAMPLE.COM |
| 244 | Matt | Gueney | Matt.Gueney@REDPOLL.EXAMPLE.COM |
| 245 | Max | von Sydow | Max.vonSydow@REDSTART.EXAMPLE.COM |
| 246 | Max | Schell | Max.Schell@SANDERLING.EXAMPLE.COM |
| 247 | Cynda | Whitcraft | Cynda.Whitcraft@SANDPIPER.EXAMPLE.COM |
| 248 | Donald | Minnelli | Donald.Minnelli@SCAUP.EXAMPLE.COM |
| 249 | Hannah | Broderick | Hannah.Broderick@SHRIKE.EXAMPLE.COM |
| 250 | Dan | Williams | Dan.Williams@SISKIN.EXAMPLE.COM |
| 251 | Raul | Wilder | Raul.Wilder@STILT.EXAMPLE.COM |
| 252 | Shah Rukh | Field | ShahRukh.Field@WHIMBREL.EXAMPLE.COM |
| 253 | Sally | Bogart | Sally.Bogart@WILLET.EXAMPLE.COM |
| 254 | Bruce | Bates | Bruce.Bates@COWBIRD.EXAMPLE.COM |
| 256 | Ben | de Niro | Ben.deNiro@KINGLET.EXAMPLE.COM |
| 257 | Emmet | Walken | Emmet.Walken@LIMPKIN.EXAMPLE.COM |
| 258 | Ellen | Palin | Ellen.Palin@LONGSPUR.EXAMPLE.COM |
| 259 | Denholm | von Sydow | Denholm.vonSydow@MERGANSER.EXAMPLE.COM |
| 261 | Emmet | Garcia | Emmet.Garcia@VIREO.EXAMPLE.COM |
| 124 | Diane | Mason | Diane.Mason@TROGON.EXAMPLE.COM |
| 125 | Dianne | Andrews | Dianne.Andrews@TURNSTONE.EXAMPLE.COM |
| 126 | Charles | Field | Charles.Field@BECARD.EXAMPLE.COM |
| 128 | Isabella | Reed | Isabella.Reed@BRANT.EXAMPLE.COM |
| 129 | Louis | Jackson | Louis.Jackson@CARACARA.EXAMPLE.COM |
| 130 | Louis | Edwards | Louis.Edwards@CHACHALACA.EXAMPLE.COM |
| 131 | Doris | Dutt | Doris.Dutt@CHUKAR.EXAMPLE.COM |
| 133 | Kristin | Malden | Kristin.Malden@GODWIT.EXAMPLE.COM |
| 134 | Sissy | Puri | Sissy.Puri@GREBE.EXAMPLE.COM |
| 135 | Doris | Bel Geddes | Doris.BelGeddes@GROSBEAK.EXAMPLE.COM |
| 136 | Sissy | Warden | Sissy.Warden@JACANA.EXAMPLE.COM |
| 138 | Mani | Fonda | Mani.Fonda@KINGLET.EXAMPLE.COM |
| 139 | Placido | Kubrick | Placido.Kubrick@SCOTER.EXAMPLE.COM |
| 140 | Claudia | Kurosawa | Claudia.Kurosawa@CHUKAR.EXAMPLE.COM |
| 141 | Maximilian | Henner | Maximilian.Henner@DUNLIN.EXAMPLE.COM |
| 143 | Sachin | Neeson | Sachin.Neeson@GALLINULE.EXAMPLE.COM |
| 767 | Klaus Maria | Russell | KlausMaria.Russell@COOT.EXAMPLE.COM |
| 771 | Kris | de Niro | Kris.deNiro@DUNLIN.EXAMPLE.COM |
| 826 | Alain | Barkin | Alain.Barkin@VERDIN.EXAMPLE.COM |
| 830 | Albert | Dutt | Albert.Dutt@CURLEW.EXAMPLE.COM |
| 850 | Amanda | Finney | Amanda.Finney@STILT.EXAMPLE.COM |
| 905 | Billy | Hershey | Billy.Hershey@BULBUL.EXAMPLE.COM |
| 911 | Bo | Dickinson | Bo.Dickinson@TANAGER.EXAMPLE.COM |
| 919 | Brooke | Michalkow | Brooke.Michalkow@GROSBEAK.EXAMPLE.COM |
| 924 | Bruno | Montand | Bruno.Montand@TOWHEE.EXAMPLE.COM |
| 930 | Buster | Jackson | Buster.Jackson@KILLDEER.EXAMPLE.COM |
| 980 | Daniel | Loren | Daniel.Loren@REDSTART.EXAMPLE.COM |
| 473 | Rolf | Ashby | Rolf.Ashby@WATERTHRUSH.EXAMPLE.COM |
| 474 | Romy | Sharif | Romy.Sharif@SNIPE.EXAMPLE.COM |
| 475 | Romy | McCarthy | Romy.McCarthy@STILT.EXAMPLE.COM |
| 476 | Rosanne | Hopkins | Rosanne.Hopkins@ANI.EXAMPLE.COM |
| 477 | Rosanne | Douglas | Rosanne.Douglas@ANHINGA.EXAMPLE.COM |
| 478 | Rosanne | Baldwin | Rosanne.Baldwin@AUKLET.EXAMPLE.COM |
| 479 | Roxanne | Shepherd | Roxanne.Shepherd@DUNLIN.EXAMPLE.COM |
| 480 | Roxanne | Michalkow | Roxanne.Michalkow@EIDER.EXAMPLE.COM |
| 481 | Roy | Hulce | Roy.Hulce@SISKIN.EXAMPLE.COM |
| 482 | Roy | Dunaway | Roy.Dunaway@WHIMBREL.EXAMPLE.COM |
| 483 | Roy | Bates | Roy.Bates@WIGEON.EXAMPLE.COM |
| 487 | Rufus | Dvrrie | Rufus.Dvrrie@PLOVER.EXAMPLE.COM |
| 488 | Rufus | Belushi | Rufus.Belushi@PUFFIN.EXAMPLE.COM |
| 492 | Sally | Edwards | Sally.Edwards@TURNSTONE.EXAMPLE.COM |
| 496 | Scott | Jordan | Scott.Jordan@WILLET.EXAMPLE.COM |
| 605 | Shammi | Pacino | Shammi.Pacino@BITTERN.EXAMPLE.COM |
| 606 | Sharmila | Kazan | Sharmila.Kazan@BRANT.EXAMPLE.COM |
| 609 | Shelley | Taylor | Shelley.Taylor@CURLEW.EXAMPLE.COM |
| 615 | Shyam | Plummer | Shyam.Plummer@VEERY.EXAMPLE.COM |
| 621 | Silk | Kurosawa | Silk.Kurosawa@NUTHATCH.EXAMPLE.COM |
| 712 | M. Emmet | Stockwell | M.Emmet.Stockwell@COOT.EXAMPLE.COM |
| 713 | M. Emmet | Olin | M.Emmet.Olin@CORMORANT.EXAMPLE.COM |
| 717 | Mammutti | Sutherland | Mammutti.Sutherland@TOWHEE.EXAMPLE.COM |
| 719 | Mani | Kazan | Mani.Kazan@TROGON.EXAMPLE.COM |
| 721 | Mani | Buckley | Mani.Buckley@TURNSTONE.EXAMPLE.COM |
| 729 | Margaux | Krige | Margaux.Krige@DUNLIN.EXAMPLE.COM |
| 731 | Margaux | Capshaw | Margaux.Capshaw@EIDER.EXAMPLE.COM |
| 754 | Kevin | Goodman | Kevin.Goodman@WIGEON.EXAMPLE.COM |
| 756 | Kevin | Wilder | Kevin.Wilder@AUKLET.EXAMPLE.COM |
| 757 | Kiefer | Reynolds | Kiefer.Reynolds@AVOCET.EXAMPLE.COM |
| 766 | Klaus | Young | Klaus.Young@OVENBIRD.EXAMPLE.COM |
| 768 | Klaus Maria | MacLaine | KlausMaria.MacLaine@CHUKAR.EXAMPLE.COM |
| 769 | Kris | Harris | Kris.Harris@DIPPER.EXAMPLE.COM |
| 770 | Kris | Curtis | Kris.Curtis@DOWITCHER.EXAMPLE.COM |
| 772 | Kristin | Savage | Kristin.Savage@CURLEW.EXAMPLE.COM |
| 782 | Laurence | Seignier | Laurence.Seignier@CREEPER.EXAMPLE.COM |
| 825 | Alain | Dreyfuss | Alain.Dreyfuss@VEERY.EXAMPLE.COM |
| 827 | Alain | Siegel | Alain.Siegel@VIREO.EXAMPLE.COM |
| 828 | Alan | Minnelli | Alan.Minnelli@TANAGER.EXAMPLE.COM |
| 829 | Alan | Hunter | Alan.Hunter@TATTLER.EXAMPLE.COM |
| 831 | Albert | Bel Geddes | Albert.BelGeddes@DIPPER.EXAMPLE.COM |
| 832 | Albert | Spacek | Albert.Spacek@DOWITCHER.EXAMPLE.COM |
| 833 | Alec | Moranis | Alec.Moranis@DUNLIN.EXAMPLE.COM |
| 834 | Alec | Idle | Alec.Idle@EIDER.EXAMPLE.COM |
| 835 | Alexander | Eastwood | Alexander.Eastwood@AVOCET.EXAMPLE.COM |
| 836 | Alexander | Berenger | Alexander.Berenger@BECARD.EXAMPLE.COM |
| 837 | Alexander | Stanton | Alexander.Stanton@AUKLET.EXAMPLE.COM |
| 838 | Alfred | Nicholson | Alfred.Nicholson@CREEPER.EXAMPLE.COM |
| 839 | Alfred | Johnson | Alfred.Johnson@FLICKER.EXAMPLE.COM |
| 840 | Ali | Elliott | Ali.Elliott@ANHINGA.EXAMPLE.COM |
| 841 | Ali | Boyer | Ali.Boyer@WILLET.EXAMPLE.COM |
| 842 | Ali | Stern | Ali.Stern@YELLOWTHROAT.EXAMPLE.COM |
| 843 | Alice | Oates | Alice.Oates@BECARD.EXAMPLE.COM |
| 844 | Alice | Julius | Alice.Julius@BITTERN.EXAMPLE.COM |
| 845 | Ally | Fawcett | Ally.Fawcett@PLOVER.EXAMPLE.COM |
| 846 | Ally | Brando | Ally.Brando@PINTAIL.EXAMPLE.COM |
| 847 | Ally | Streep | Ally.Streep@PIPIT.EXAMPLE.COM |
| 848 | Alonso | Olmos | Alonso.Olmos@PHALAROPE.EXAMPLE.COM |
| 849 | Alonso | Kaurusmdki | Alonso.Kaurusmdki@PHOEBE.EXAMPLE.COM |
| 851 | Amanda | Brown | Amanda.Brown@THRASHER.EXAMPLE.COM |
| 852 | Amanda | Tanner | Amanda.Tanner@TEAL.EXAMPLE.COM |
| 853 | Amrish | Palin | Amrish.Palin@EIDER.EXAMPLE.COM |
| 906 | Billy | Dench | Billy.Dench@CARACARA.EXAMPLE.COM |
| 909 | Blake | Mastroianni | Blake.Mastroianni@FLICKER.EXAMPLE.COM |
| 912 | Bo | Ashby | Bo.Ashby@TATTLER.EXAMPLE.COM |
| 913 | Bob | Sharif | Bob.Sharif@TEAL.EXAMPLE.COM |
| 916 | Brian | Douglas | Brian.Douglas@AVOCET.EXAMPLE.COM |
| 917 | Brian | Baldwin | Brian.Baldwin@BECARD.EXAMPLE.COM |
| 920 | Bruce | Hulce | Bruce.Hulce@JACANA.EXAMPLE.COM |
| 921 | Bruce | Dunaway | Bruce.Dunaway@JUNCO.EXAMPLE.COM |
| 923 | Bruno | Slater | Bruno.Slater@THRASHER.EXAMPLE.COM |
| 927 | Bryan | Belushi | Bryan.Belushi@TOWHEE.EXAMPLE.COM |
| 928 | Burt | Spielberg | Burt.Spielberg@TROGON.EXAMPLE.COM |
| 929 | Burt | Neeson | Burt.Neeson@TURNSTONE.EXAMPLE.COM |
| 931 | Buster | Edwards | Buster.Edwards@KINGLET.EXAMPLE.COM |
| 932 | Buster | Bogart | Buster.Bogart@KISKADEE.EXAMPLE.COM |
| 934 | C. Thomas | Nolte | C.Thomas.Nolte@PHOEBE.EXAMPLE.COM |
| 981 | Daniel | Gueney | Daniel.Gueney@REDPOLL.EXAMPLE.COM |
| 123 | Elizabeth | Brown | Elizabeth.Brown@THRASHER.EXAMPLE.COM |
| 127 | Charles | Broderick | Charles.Broderick@BITTERN.EXAMPLE.COM |
| 132 | Doris | Spacek | Doris.Spacek@FLICKER.EXAMPLE.COM |
| 137 | Elia | Brando | Elia.Brando@JUNCO.EXAMPLE.COM |
| 142 | Sachin | Spielberg | Sachin.Spielberg@GADWALL.EXAMPLE.COM |
| 163 | Ernest | Chandar | Ernest.Chandar@LIMPKIN.EXAMPLE.COM |
| 168 | Hema | Voight | Hema.Voight@PHALAROPE.EXAMPLE.COM |
| 173 | Kathleen | Walken | Kathleen.Walken@VIREO.EXAMPLE.COM |
| 178 | Grace | Belushi | Grace.Belushi@KILLDEER.EXAMPLE.COM |
| 182 | Lauren | Dench | Lauren.Dench@LONGSPUR.EXAMPLE.COM |
| 187 | Grace | Dvrrie | Grace.Dvrrie@PHOEBE.EXAMPLE.COM |
| 212 | Luchino | Falk | Luchino.Falk@OVENBIRD.EXAMPLE.COM |
| 217 | Bryan | Huston | Bryan.Huston@PYRRHULOXIA.EXAMPLE.COM |
| 222 | Cary | Stockwell | Cary.Stockwell@VIREO.EXAMPLE.COM |
| 226 | Ajay | Andrews | Ajay.Andrews@YELLOWTHROAT.EXAMPLE.COM |
| 231 | Danny | Rourke | Danny.Rourke@BRANT.EXAMPLE.COM |
| 255 | Brooke | Shepherd | Brooke.Shepherd@KILLDEER.EXAMPLE.COM |
| 260 | Ellen | Khan | Ellen.Khan@VERDIN.EXAMPLE.COM |
| 264 | George | Adjani | George.Adjani@WILLET.EXAMPLE.COM |
| 269 | Kyle | Martin | Kyle.Martin@EIDER.EXAMPLE.COM |
| 273 | Bo | Hitchcock | Bo.Hitchcock@ANHINGA.EXAMPLE.COM |
| 339 | Marilou | Landis | Marilou.Landis@TATTLER.EXAMPLE.COM |
| 344 | Marlon | Godard | Marlon.Godard@MOORHEN.EXAMPLE.COM |
| 348 | Kelly | Lange | Kelly.Lange@SANDPIPER.EXAMPLE.COM |
| 352 | Kenneth | Redford | Kenneth.Redford@REDSTART.EXAMPLE.COM |
| 378 | Meg | Sen | Meg.Sen@COWBIRD.EXAMPLE.COM |
| 449 | Rick | Romero | Rick.Romero@LONGSPUR.EXAMPLE.COM |
| 453 | Ridley | Young | Ridley.Young@CHUKAR.EXAMPLE.COM |
| 463 | Robin | Adjani | Robin.Adjani@MOORHEN.EXAMPLE.COM |
| 470 | Roger | Mastroianni | Roger.Mastroianni@CREEPER.EXAMPLE.COM |
| 607 | Sharmila | Fonda | Sharmila.Fonda@BUFFLEHEAD.EXAMPLE.COM |
| 627 | Sivaji | Gielgud | Sivaji.Gielgud@BULBUL.EXAMPLE.COM |
| 715 | Malcolm | Field | Malcolm.Field@DOWITCHER.EXAMPLE.COM |
| 727 | Margaret | Ustinov | Margaret.Ustinov@ANHINGA.EXAMPLE.COM |
| 755 | Kevin | Cleveland | Kevin.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_id | order_date | customer_id | order_total |
|---|---|---|---|
| 2458 | 16-AUG-07 03.34.12.234359 PM | 101 | 78279.6 |
| 2397 | 19-NOV-07 02.41.54.696211 PM | 102 | 42283.2 |
| 2454 | 02-OCT-07 05.49.34.678340 PM | 103 | 6653.4 |
| 2354 | 14-JUL-08 06.18.23.234567 PM | 104 | 46257 |
| 2358 | 08-JAN-08 05.03.12.654278 PM | 105 | 7826 |
| 2381 | 14-MAY-08 08.59.08.843679 PM | 106 | 23034.6 |
| 2440 | 31-AUG-07 09.53.06.008765 PM | 107 | 70576.9 |
| 2357 | 08-JAN-06 08.19.44.123456 PM | 108 | 59872.4 |
| 2394 | 10-FEB-08 09.22.35.564789 PM | 109 | 21863 |
| 2435 | 02-SEP-07 11.22.53.134567 PM | 144 | 62303 |
| 2455 | 20-SEP-07 11.34.11.456789 AM | 145 | 14087.5 |
| 2379 | 16-MAY-07 02.22.24.234567 AM | 146 | 17848.2 |
| 2396 | 02-FEB-06 01.34.56.345678 AM | 147 | 34930 |
| 2406 | 29-JUN-07 04.41.20.098765 AM | 148 | 2854.2 |
| 2434 | 13-SEP-07 05.49.30.647893 AM | 149 | 268651.8 |
| 2436 | 02-SEP-07 06.18.04.378034 AM | 116 | 6394.8 |
| 2446 | 27-JUL-07 07.03.08.302945 AM | 117 | 103679.3 |
| 2447 | 27-JUL-08 08.59.10.223344 AM | 101 | 33893.6 |
| 2432 | 14-SEP-07 09.53.40.223345 AM | 102 | 10523 |
| 2433 | 13-SEP-07 10.19.00.654279 AM | 103 | 78 |
| 2355 | 26-JAN-06 09.22.51.962632 AM | 104 | 94513.5 |
| 2356 | 26-JAN-08 09.22.41.934562 AM | 105 | 29473.8 |
| 2359 | 08-JAN-06 09.34.13.112233 PM | 106 | 5543.1 |
| 2360 | 14-NOV-07 12.22.31.223344 PM | 107 | 990.4 |
| 2361 | 13-NOV-07 01.34.21.986210 PM | 108 | 120131.3 |
| 2362 | 13-NOV-07 02.41.10.619477 PM | 109 | 92829.4 |
| 2363 | 23-OCT-07 05.49.56.346122 PM | 144 | 10082.3 |
| 2364 | 28-AUG-07 06.18.45.942399 PM | 145 | 9500 |
| 2365 | 28-AUG-07 07.03.34.003399 PM | 146 | 27455.3 |
| 2366 | 28-AUG-07 08.59.23.144778 PM | 147 | 37319.4 |
| 2367 | 27-JUN-08 09.53.32.335522 PM | 148 | 144054.8 |
| 2368 | 26-JUN-08 10.19.43.190089 PM | 149 | 60065 |
| 2369 | 26-JUN-07 11.22.54.009932 PM | 116 | 11097.4 |
| 2370 | 27-JUN-08 12.22.11.647398 AM | 117 | 126 |
| 2371 | 16-MAY-07 01.34.56.113356 AM | 118 | 79405.6 |
| 2372 | 27-FEB-07 12.22.33.356789 AM | 119 | 16447.2 |
| 2373 | 27-FEB-08 01.34.51.220065 AM | 120 | 416 |
| 2374 | 27-FEB-08 02.41.45.109654 AM | 121 | 4797 |
| 2375 | 26-FEB-07 03.49.50.459233 AM | 122 | 103834.4 |
| 2376 | 07-JUN-07 06.18.08.883310 AM | 123 | 11006.2 |
| 2377 | 07-JUN-07 07.03.01.001100 AM | 141 | 38017.8 |
| 2378 | 24-MAY-07 08.59.10.010101 AM | 142 | 25691.3 |
| 2380 | 16-MAY-07 09.53.02.909090 AM | 143 | 27132.6 |
| 2382 | 14-MAY-08 10.19.03.828321 AM | 144 | 71173 |
| 2383 | 12-MAY-08 11.22.30.545103 AM | 145 | 36374.7 |
| 2384 | 12-MAY-08 12.22.34.525972 PM | 146 | 29249.1 |
| 2385 | 08-DEC-07 11.34.11.331392 AM | 147 | 295892 |
| 2386 | 06-DEC-07 12.22.34.225609 PM | 148 | 21116.9 |
| 2387 | 11-MAR-07 03.34.56.536966 PM | 149 | 52758.9 |
| 2388 | 04-JUN-07 04.41.12.554435 PM | 150 | 282694.3 |
| 2389 | 04-JUN-08 05.49.43.546954 PM | 151 | 17620 |
| 2390 | 18-NOV-07 04.18.50.546851 PM | 152 | 7616.8 |
| 2391 | 27-FEB-06 05.03.03.828330 PM | 153 | 48070.6 |
| 2392 | 21-JUL-07 08.59.57.571057 PM | 154 | 26632 |
| 2393 | 10-FEB-08 07.53.19.528202 PM | 155 | 23431.9 |
| 2395 | 02-FEB-06 08.19.11.227550 PM | 156 | 68501 |
| 2398 | 19-NOV-07 09.22.53.224175 PM | 157 | 7110.3 |
| 2399 | 19-NOV-07 10.22.38.340990 PM | 158 | 25270.3 |
| 2400 | 10-JUL-07 01.34.29.559387 AM | 159 | 69286.4 |
| 2401 | 10-JUL-07 02.22.53.554822 AM | 160 | 969.2 |
| 2402 | 02-JUL-07 03.34.44.665170 AM | 161 | 600 |
| 2403 | 01-JUL-07 04.49.13.615512 PM | 162 | 220 |
| 2404 | 01-JUL-07 04.49.13.664085 PM | 163 | 510 |
| 2405 | 01-JUL-07 04.49.13.678123 PM | 164 | 1233 |
| 2407 | 29-JUN-07 07.03.21.526005 AM | 165 | 2519 |
| 2408 | 29-JUN-07 08.59.31.333617 AM | 166 | 309 |
| 2409 | 29-JUN-07 09.53.41.984501 AM | 167 | 48 |
| 2410 | 24-MAY-08 10.19.51.985501 AM | 168 | 45175 |
| 2411 | 24-MAY-07 11.22.10.548639 AM | 169 | 15760.5 |
| 2412 | 29-MAR-06 10.22.09.509801 AM | 170 | 66816 |
| 2413 | 29-MAR-08 01.34.04.525934 PM | 101 | 48552 |
| 2414 | 29-MAR-07 02.22.40.536996 PM | 102 | 10794.6 |
| 2415 | 29-MAR-06 01.34.50.545196 PM | 103 | 310 |
| 2416 | 29-MAR-07 04.41.20.945676 PM | 104 | 384 |
| 2417 | 20-MAR-07 05.49.10.974352 PM | 105 | 1926.6 |
| 2418 | 20-MAR-04 04.18.21.862632 PM | 106 | 5546.6 |
| 2419 | 20-MAR-07 07.03.32.764632 PM | 107 | 31574 |
| 2420 | 13-MAR-07 08.59.43.666320 PM | 108 | 29750 |
| 2421 | 12-MAR-07 09.53.54.562432 PM | 109 | 72836 |
| 2422 | 16-DEC-07 08.19.55.462332 PM | 144 | 11188.5 |
| 2423 | 21-NOV-07 10.22.33.362632 AM | 145 | 10367.7 |
| 2424 | 21-NOV-07 10.22.33.263332 AM | 146 | 13824 |
| 2425 | 16-NOV-06 11.34.22.162552 PM | 147 | 1500.8 |
| 2426 | 17-NOV-06 12.22.11.262552 AM | 148 | 7200 |
| 2427 | 10-NOV-07 01.34.22.362124 AM | 149 | 9055 |
| 2428 | 10-NOV-07 02.41.34.463567 AM | 116 | 14685.8 |
| 2429 | 10-NOV-07 03.49.25.526321 AM | 117 | 50125 |
| 2430 | 02-OCT-07 06.18.36.663332 AM | 101 | 29669.9 |
| 2431 | 14-SEP-06 07.03.04.763452 AM | 102 | 5610.6 |
| 2437 | 01-SEP-06 08.59.15.826132 AM | 103 | 13550 |
| 2438 | 01-SEP-07 09.53.26.934626 AM | 104 | 5451 |
| 2439 | 31-AUG-07 10.19.37.811132 AM | 105 | 22150.1 |
| 2441 | 01-AUG-08 11.22.48.734526 AM | 106 | 2075.2 |
| 2442 | 27-JUL-06 12.22.59.662632 PM | 107 | 52471.9 |
| 2443 | 27-JUL-06 01.34.16.562632 PM | 108 | 3646 |
| 2444 | 27-JUL-07 02.22.27.462632 PM | 109 | 77727.2 |
| 2445 | 27-JUL-06 03.34.38.362632 PM | 144 | 5537.8 |
| 2448 | 18-JUN-07 04.41.49.262632 PM | 145 | 1388 |
| 2449 | 13-JUN-07 05.49.07.162632 PM | 146 | 86 |
| 2450 | 11-APR-07 06.18.10.362632 PM | 147 | 1636 |
| 2451 | 17-DEC-07 05.03.52.562632 PM | 148 | 10474.6 |
| 2452 | 06-OCT-07 08.59.43.462632 PM | 149 | 12589 |
| 2453 | 04-OCT-07 09.53.34.362632 PM | 116 | 129 |
| 2456 | 07-NOV-06 07.53.25.989889 PM | 117 | 3878.4 |
| 2457 | 31-OCT-07 11.22.16.162632 PM | 118 | 21586.2 |
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_id | total_spend |
|---|---|
| 149 | 403119.7 |
| 147 | 371278.2 |
| 150 | 282694.3 |
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_id | order_count | total_sale | average_sale | minimum_sale | maximum_sale |
|---|---|---|---|---|---|
| 107 | 4 | 155613.2 | 38903.3 | 990.4 | 70576.9 |
| 108 | 4 | 213399.7 | 53349.925 | 3646 | 120131.3 |
| 158 | 1 | 25270.3 | 25270.3 | 25270.3 | 25270.3 |
| 161 | 1 | 600 | 600 | 600 | 600 |
| 166 | 1 | 309 | 309 | 309 | 309 |
| 105 | 4 | 61376.5 | 15344.125 | 1926.6 | 29473.8 |
| 109 | 4 | 265255.6 | 66313.9 | 21863 | 92829.4 |
| 143 | 1 | 27132.6 | 27132.6 | 27132.6 | 27132.6 |
| 159 | 1 | 69286.4 | 69286.4 | 69286.4 | 69286.4 |
| 162 | 1 | 220 | 220 | 220 | 220 |
| 163 | 1 | 510 | 510 | 510 | 510 |
| 168 | 1 | 45175 | 45175 | 45175 | 45175 |
| 104 | 4 | 146605.5 | 36651.375 | 384 | 94513.5 |
| 118 | 2 | 100991.8 | 50495.9 | 21586.2 | 79405.6 |
| 145 | 5 | 71717.9 | 14343.58 | 1388 | 36374.7 |
| 121 | 1 | 4797 | 4797 | 4797 | 4797 |
| 141 | 1 | 38017.8 | 38017.8 | 38017.8 | 38017.8 |
| 155 | 1 | 23431.9 | 23431.9 | 23431.9 | 23431.9 |
| 101 | 4 | 190395.1 | 47598.775 | 29669.9 | 78279.6 |
| 103 | 4 | 20591.4 | 5147.85 | 78 | 13550 |
| 116 | 4 | 32307 | 8076.75 | 129 | 14685.8 |
| 120 | 1 | 416 | 416 | 416 | 416 |
| 142 | 1 | 25691.3 | 25691.3 | 25691.3 | 25691.3 |
| 151 | 1 | 17620 | 17620 | 17620 | 17620 |
| 156 | 1 | 68501 | 68501 | 68501 | 68501 |
| 157 | 1 | 7110.3 | 7110.3 | 7110.3 | 7110.3 |
| 169 | 1 | 15760.5 | 15760.5 | 15760.5 | 15760.5 |
| 146 | 5 | 88462.6 | 17692.52 | 86 | 29249.1 |
| 148 | 5 | 185700.5 | 37140.1 | 2854.2 | 144054.8 |
| 149 | 5 | 403119.7 | 80623.94 | 9055 | 268651.8 |
| 122 | 1 | 103834.4 | 103834.4 | 103834.4 | 103834.4 |
| 152 | 1 | 7616.8 | 7616.8 | 7616.8 | 7616.8 |
| 170 | 1 | 66816 | 66816 | 66816 | 66816 |
| 144 | 5 | 160284.6 | 32056.92 | 5537.8 | 71173 |
| 119 | 1 | 16447.2 | 16447.2 | 16447.2 | 16447.2 |
| 153 | 1 | 48070.6 | 48070.6 | 48070.6 | 48070.6 |
| 164 | 1 | 1233 | 1233 | 1233 | 1233 |
| 167 | 1 | 48 | 48 | 48 | 48 |
| 102 | 4 | 69211.4 | 17302.85 | 5610.6 | 42283.2 |
| 106 | 4 | 36199.5 | 9049.875 | 2075.2 | 23034.6 |
| 147 | 5 | 371278.2 | 74255.64 | 1500.8 | 295892 |
| 117 | 4 | 157808.7 | 39452.175 | 126 | 103679.3 |
| 123 | 1 | 11006.2 | 11006.2 | 11006.2 | 11006.2 |
| 150 | 1 | 282694.3 | 282694.3 | 282694.3 | 282694.3 |
| 154 | 1 | 26632 | 26632 | 26632 | 26632 |
| 160 | 1 | 969.2 | 969.2 | 969.2 | 969.2 |
| 165 | 1 | 2519 | 2519 | 2519 | 2519 |
| customer_id | cust_first_name | cust_last_name | cust_email | date_of_birth | marital_status | gender | income_level | credit_limit |
|---|---|---|---|---|---|---|---|---|
| 144 | Sivaji | Landis | Sivaji.Landis@GOLDENEYE.EXAMPLE.COM | 09-FEB-70 | married | M | F: 110,000 – 129,999 | 500 |
| 145 | Mammutti | Pacino | Mammutti.Pacino@GREBE.EXAMPLE.COM | 19-FEB-46 | single | M | F: 110,000 – 129,999 | 500 |
| 146 | Elia | Fawcett | Elia.Fawcett@JACANA.EXAMPLE.COM | 12-MAR-63 | married | F | L: 300,000 and above | 500 |
| 147 | Ishwarya | Roberts | Ishwarya.Roberts@LAPWING.EXAMPLE.COM | 21-MAR-44 | single | F | G: 130,000 – 149,999 | 600 |
| 148 | Gustav | Steenburgen | Gustav.Steenburgen@PINTAIL.EXAMPLE.COM | 10-APR-50 | married | M | F: 110,000 – 129,999 | 600 |
| 149 | Markus | Rampling | Markus.Rampling@PUFFIN.EXAMPLE.COM | 20-APR-41 | single | M | D: 70,000 – 89,999 | 600 |
| 150 | Goldie | Slater | Goldie.Slater@PYRRHULOXIA.EXAMPLE.COM | 11-MAY-51 | married | M | D: 70,000 – 89,999 | 700 |
| 151 | Divine | Aykroyd | Divine.Aykroyd@REDSTART.EXAMPLE.COM | 20-MAY-76 | single | M | F: 110,000 – 129,999 | 700 |
| 152 | Dieter | Matthau | Dieter.Matthau@VERDIN.EXAMPLE.COM | 09-JUN-22 | married | M | A: Below 30,000 | 700 |
| 153 | Divine | Sheen | Divine.Sheen@COWBIRD.EXAMPLE.COM | 20-JUN-67 | single | M | I: 170,000 – 189,999 | 700 |
| 154 | Frederic | Grodin | Frederic.Grodin@CREEPER.EXAMPLE.COM | 29-JUN-65 | single | F | L: 300,000 and above | 700 |
| 155 | Frederico | Romero | Frederico.Romero@CURLEW.EXAMPLE.COM | 09-JUL-42 | married | M | E: 90,000 – 109,999 | 700 |
| 156 | Goldie | Montand | Goldie.Montand@DIPPER.EXAMPLE.COM | 09-AUG-55 | married | F | F: 110,000 – 129,999 | 700 |
| 157 | Sidney | Capshaw | Sidney.Capshaw@DUNLIN.EXAMPLE.COM | 18-AUG-69 | single | M | G: 130,000 – 149,999 | 700 |
| 158 | Frederico | Lyon | Frederico.Lyon@FLICKER.EXAMPLE.COM | 07-SEP-70 | married | M | J: 190,000 – 249,999 | 700 |
| 159 | Eddie | Boyer | Eddie.Boyer@GALLINULE.EXAMPLE.COM | 07-OCT-53 | married | M | G: 130,000 – 149,999 | 700 |
| 160 | Eddie | Stern | Eddie.Stern@GODWIT.EXAMPLE.COM | 06-NOV-50 | married | M | G: 130,000 – 149,999 | 700 |
| 161 | Ernest | Weaver | Ernest.Weaver@GROSBEAK.EXAMPLE.COM | 16-NOV-42 | single | M | B: 30,000 – 49,999 | 900 |
| 162 | Ernest | George | Ernest.George@LAPWING.EXAMPLE.COM | 07-DEC-75 | married | M | D: 70,000 – 89,999 | 900 |
| 164 | Charlotte | Kazan | Charlotte.Kazan@MERGANSER.EXAMPLE.COM | 05-JAN-54 | married | M | I: 170,000 – 189,999 | 1200 |
| 165 | Charlotte | Fonda | Charlotte.Fonda@MOORHEN.EXAMPLE.COM | 05-FEB-56 | married | M | J: 190,000 – 249,999 | 1200 |
| 166 | Dheeraj | Alexander | Dheeraj.Alexander@NUTHATCH.EXAMPLE.COM | 14-FEB-50 | single | F | G: 130,000 – 149,999 | 1200 |
| 167 | Gerard | Hershey | Gerard.Hershey@PARULA.EXAMPLE.COM | 06-MAR-48 | married | M | D: 70,000 – 89,999 | 1200 |
| 169 | Dheeraj | Davis | Dheeraj.Davis@PIPIT.EXAMPLE.COM | 05-APR-81 | married | F | F: 110,000 – 129,999 | 1200 |
| 170 | Harry Dean | Fonda | HarryDean.Fonda@PLOVER.EXAMPLE.COM | 15-APR-88 | single | M | G: 130,000 – 149,999 | 1200 |
| 171 | Hema | Powell | Hema.Powell@SANDERLING.EXAMPLE.COM | 05-MAY-53 | married | M | D: 70,000 – 89,999 | 1200 |
| 172 | Harry Mean | Peckinpah | HarryMean.Peckinpah@VERDIN.EXAMPLE.COM | 15-MAY-59 | single | M | I: 170,000 – 189,999 | 1200 |
| 174 | Blake | Seignier | Blake.Seignier@GALLINULE.EXAMPLE.COM | 14-JUN-88 | single | M | H: 150,000 – 169,999 | 1200 |
| 175 | Claude | Powell | Claude.Powell@GODWIT.EXAMPLE.COM | 04-JUL-46 | married | M | F: 110,000 – 129,999 | 1200 |
| 176 | Faye | Glenn | Faye.Glenn@GREBE.EXAMPLE.COM | 14-JUL-47 | single | F | B: 30,000 – 49,999 | 1200 |
| 177 | Gerhard | Seignier | Gerhard.Seignier@JACANA.EXAMPLE.COM | 03-AUG-78 | married | M | E: 90,000 – 109,999 | 1200 |
| 179 | Harry dean | Forrest | Harrydean.Forrest@KISKADEE.EXAMPLE.COM | 12-SEP-74 | single | M | G: 130,000 – 149,999 | 1200 |
| 180 | Harry dean | Cage | Harrydean.Cage@LAPWING.EXAMPLE.COM | 02-OCT-75 | married | F | F: 110,000 – 129,999 | 1200 |
| 181 | Lauren | Hershey | Lauren.Hershey@LIMPKIN.EXAMPLE.COM | 12-OCT-65 | single | F | H: 150,000 – 169,999 | 1200 |
| 183 | Lauren | Altman | Lauren.Altman@MERGANSER.EXAMPLE.COM | 01-NOV-68 | married | F | C: 50,000 – 69,999 | 1200 |
| 184 | Mary Beth | Roberts | MaryBeth.Roberts@NUTHATCH.EXAMPLE.COM | 11-NOV-27 | single | M | A: Below 30,000 | 1200 |
| 262 | Fred | Reynolds | Fred.Reynolds@WATERTHRUSH.EXAMPLE.COM | 13-JUL-58 | married | M | F: 110,000 – 129,999 | 3600 |
| 263 | Fred | Lithgow | Fred.Lithgow@WHIMBREL.EXAMPLE.COM | 23-JUL-79 | single | M | D: 70,000 – 89,999 | 3600 |
| 265 | Irene | Laughton | Irene.Laughton@ANHINGA.EXAMPLE.COM | 22-AUG-73 | single | F | J: 190,000 – 249,999 | 3600 |
| 266 | Prem | Cardinale | Prem.Cardinale@BITTERN.EXAMPLE.COM | 01-SEP-70 | single | M | L: 300,000 and above | 3700 |
| 267 | Prem | Walken | Prem.Walken@BRANT.EXAMPLE.COM | 11-SEP-53 | married | F | G: 130,000 – 149,999 | 3700 |
| 268 | Kyle | Schneider | Kyle.Schneider@DUNLIN.EXAMPLE.COM | 21-SEP-52 | single | F | G: 130,000 – 149,999 | 3700 |
| 270 | Meg | Derek | Meg.Derek@FLICKER.EXAMPLE.COM | 10-NOV-71 | married | M | F: 110,000 – 129,999 | 3700 |
| 271 | Shelley | Peckinpah | Shelley.Peckinpah@GODWIT.EXAMPLE.COM | 20-NOV-87 | single | F | D: 70,000 – 89,999 | 3700 |
| 272 | Prem | Garcia | Prem.Garcia@JACANA.EXAMPLE.COM | 10-DEC-60 | married | M | I: 170,000 – 189,999 | 3700 |
| 274 | Bob | McCarthy | Bob.McCarthy@ANI.EXAMPLE.COM | 19-JAN-46 | single | M | A: Below 30,000 | 5000 |
| 275 | Dom | McQueen | Dom.McQueen@AUKLET.EXAMPLE.COM | 08-FEB-84 | married | F | G: 130,000 – 149,999 | 5000 |
| 276 | Dom | Hoskins | Dom.Hoskins@AVOCET.EXAMPLE.COM | 10-MAR-51 | married | M | E: 90,000 – 109,999 | 5000 |
| 101 | Constantin | Welles | Constantin.Welles@ANHINGA.EXAMPLE.COM | 20-FEB-72 | married | M | B: 30,000 – 49,999 | 100 |
| 102 | Harrison | Pacino | Harrison.Pacino@ANI.EXAMPLE.COM | 02-MAR-53 | single | M | I: 170,000 – 189,999 | 100 |
| 103 | Manisha | Taylor | Manisha.Taylor@AUKLET.EXAMPLE.COM | 22-MAR-83 | married | F | H: 150,000 – 169,999 | 100 |
| 104 | Harrison | Sutherland | Harrison.Sutherland@GODWIT.EXAMPLE.COM | 31-MAR-72 | single | F | H: 150,000 – 169,999 | 100 |
| 105 | Matthias | MacGraw | Matthias.MacGraw@GOLDENEYE.EXAMPLE.COM | 21-APR-69 | married | F | C: 50,000 – 69,999 | 100 |
| 106 | Matthias | Hannah | Matthias.Hannah@GREBE.EXAMPLE.COM | 30-APR-60 | single | M | F: 110,000 – 129,999 | 100 |
| 107 | Matthias | Cruise | Matthias.Cruise@GROSBEAK.EXAMPLE.COM | 21-MAY-69 | married | F | G: 130,000 – 149,999 | 100 |
| 108 | Meenakshi | Mason | Meenakshi.Mason@JACANA.EXAMPLE.COM | 20-JUN-57 | married | M | H: 150,000 – 169,999 | 100 |
| 109 | Christian | Cage | Christian.Cage@KINGLET.EXAMPLE.COM | 30-JUN-38 | single | M | F: 110,000 – 129,999 | 100 |
| 110 | Charlie | Sutherland | Charlie.Sutherland@LIMPKIN.EXAMPLE.COM | 20-JUL-51 | married | M | G: 130,000 – 149,999 | 200 |
| 111 | Charlie | Pacino | Charlie.Pacino@LONGSPUR.EXAMPLE.COM | 29-JUL-48 | single | M | G: 130,000 – 149,999 | 200 |
| 112 | Guillaume | Jackson | Guillaume.Jackson@MOORHEN.EXAMPLE.COM | 19-AUG-54 | married | M | I: 170,000 – 189,999 | 200 |
| 113 | Daniel | Costner | Daniel.Costner@PARULA.EXAMPLE.COM | 29-AUG-77 | single | M | I: 170,000 – 189,999 | 200 |
| 114 | Dianne | Derek | Dianne.Derek@SAW-WHET.EXAMPLE.COM | 17-SEP-48 | married | M | H: 150,000 – 169,999 | 200 |
| 115 | Geraldine | Schneider | Geraldine.Schneider@SCAUP.EXAMPLE.COM | 18-OCT-31 | married | M | B: 30,000 – 49,999 | 200 |
| 116 | Geraldine | Martin | Geraldine.Martin@SCOTER.EXAMPLE.COM | 28-OCT-27 | single | M | A: Below 30,000 | 200 |
| 117 | Guillaume | Edwards | Guillaume.Edwards@SHRIKE.EXAMPLE.COM | 16-NOV-52 | married | M | E: 90,000 – 109,999 | 200 |
| 118 | Maurice | Mahoney | Maurice.Mahoney@SNIPE.EXAMPLE.COM | 27-NOV-66 | single | M | F: 110,000 – 129,999 | 200 |
| 119 | Maurice | Hasan | Maurice.Hasan@STILT.EXAMPLE.COM | 17-DEC-65 | married | M | G: 130,000 – 149,999 | 200 |
| 120 | Diane | Higgins | Diane.Higgins@TANAGER.EXAMPLE.COM | 26-DEC-84 | single | M | H: 150,000 – 169,999 | 200 |
| 121 | Dianne | Sen | Dianne.Sen@TATTLER.EXAMPLE.COM | 15-JAN-53 | married | M | H: 150,000 – 169,999 | 200 |
| 122 | Maurice | Daltrey | Maurice.Daltrey@TEAL.EXAMPLE.COM | 15-FEB-43 | married | M | A: Below 30,000 | 200 |
| 185 | Matthew | Wright | Matthew.Wright@OVENBIRD.EXAMPLE.COM | 01-DEC-59 | married | F | G: 130,000 – 149,999 | 1200 |
| 186 | Meena | Alexander | Meena.Alexander@PARULA.EXAMPLE.COM | 11-DEC-61 | single | F | K: 250,000 – 299,999 | 1200 |
| 188 | Charlotte | Buckley | Charlotte.Buckley@PINTAIL.EXAMPLE.COM | 10-JAN-49 | single | F | F: 110,000 – 129,999 | 1200 |
| 277 | Don | Siegel | Don.Siegel@BITTERN.EXAMPLE.COM | 20-MAR-50 | single | M | B: 30,000 – 49,999 | 5000 |
| 278 | Gvtz | Bradford | Gvtz.Bradford@BULBUL.EXAMPLE.COM | 08-APR-64 | married | M | K: 250,000 – 299,999 | 5000 |
| 279 | Holly | Kurosawa | Holly.Kurosawa@CARACARA.EXAMPLE.COM | 19-APR-61 | single | M | I: 170,000 – 189,999 | 5000 |
| 280 | Rob | MacLaine | Rob.MacLaine@COOT.EXAMPLE.COM | 09-MAY-49 | married | M | B: 30,000 – 49,999 | 5000 |
| 281 | Don | Barkin | Don.Barkin@CORMORANT.EXAMPLE.COM | 18-MAY-56 | single | M | I: 170,000 – 189,999 | 5000 |
| 282 | Kurt | Danson | Kurt.Danson@COWBIRD.EXAMPLE.COM | 07-JUN-88 | married | M | H: 150,000 – 169,999 | 5000 |
| 283 | Kurt | Heard | Kurt.Heard@CURLEW.EXAMPLE.COM | 18-JUN-94 | single | M | H: 150,000 – 169,999 | 5000 |
| 308 | Glenda | Dunaway | Glenda.Dunaway@DOWITCHER.EXAMPLE.COM | 08-JUL-57 | married | M | C: 50,000 – 69,999 | 1200 |
| 309 | Glenda | Bates | Glenda.Bates@DIPPER.EXAMPLE.COM | 18-JUL-55 | single | M | F: 110,000 – 129,999 | 1200 |
| 323 | Goetz | Falk | Goetz.Falk@VEERY.EXAMPLE.COM | 06-AUG-80 | married | F | G: 130,000 – 149,999 | 5000 |
| 326 | Hal | Olin | Hal.Olin@FLICKER.EXAMPLE.COM | 06-SEP-59 | married | F | H: 150,000 – 169,999 | 2400 |
| 327 | Hannah | Kanth | Hannah.Kanth@GADWALL.EXAMPLE.COM | 15-SEP-56 | single | M | F: 110,000 – 129,999 | 2400 |
| 328 | Hannah | Field | Hannah.Field@GALLINULE.EXAMPLE.COM | 06-OCT-85 | married | F | G: 130,000 – 149,999 | 2400 |
| 333 | Margret | Powell | Margret.Powell@ANI.EXAMPLE.COM | 16-OCT-53 | single | M | G: 130,000 – 149,999 | 1200 |
| 334 | Harry Mean | Taylor | HarryMean.Taylor@REDPOLL.EXAMPLE.COM | 15-NOV-81 | single | M | I: 170,000 – 189,999 | 1200 |
| 335 | Margrit | Garner | Margrit.Garner@STILT.EXAMPLE.COM | 05-DEC-82 | married | F | H: 150,000 – 169,999 | 500 |
| 337 | Maria | Warden | Maria.Warden@TANAGER.EXAMPLE.COM | 03-JAN-73 | married | F | B: 30,000 – 49,999 | 500 |
| 361 | Marilou | Chapman | Marilou.Chapman@TEAL.EXAMPLE.COM | 11-AUG-89 | single | F | D: 70,000 – 89,999 | 500 |
| 363 | Kathy | Lambert | Kathy.Lambert@COOT.EXAMPLE.COM | 31-AUG-56 | married | M | C: 50,000 – 69,999 | 2400 |
| 360 | Helmut | Capshaw | Helmut.Capshaw@TROGON.EXAMPLE.COM | 01-AUG-77 | married | M | J: 190,000 – 249,999 | 3600 |
| 341 | Keir | George | Keir.George@VIREO.EXAMPLE.COM | 03-FEB-63 | married | F | E: 90,000 – 109,999 | 700 |
| 342 | Marlon | Laughton | Marlon.Laughton@CORMORANT.EXAMPLE.COM | 13-FEB-47 | single | F | F: 110,000 – 129,999 | 2400 |
| 343 | Keir | Chandar | Keir.Chandar@WATERTHRUSH.EXAMPLE.COM | 04-MAR-60 | married | M | G: 130,000 – 149,999 | 700 |
| 345 | Keir | Weaver | Keir.Weaver@WHIMBREL.EXAMPLE.COM | 04-APR-62 | married | M | H: 150,000 – 169,999 | 700 |
| 346 | Marlon | Clapton | Marlon.Clapton@COWBIRD.EXAMPLE.COM | 13-APR-88 | married | M | K: 250,000 – 299,999 | 2400 |
| 347 | Kelly | Quinlan | Kelly.Quinlan@PYRRHULOXIA.EXAMPLE.COM | 03-MAY-29 | married | F | A: Below 30,000 | 3600 |
| 349 | Ken | Glenn | Ken.Glenn@SAW-WHET.EXAMPLE.COM | 03-JUN-67 | married | M | K: 250,000 – 299,999 | 3600 |
| 350 | Ken | Chopra | Ken.Chopra@SCAUP.EXAMPLE.COM | 13-JUN-51 | single | F | F: 110,000 – 129,999 | 3600 |
| 351 | Ken | Wenders | Ken.Wenders@REDPOLL.EXAMPLE.COM | 03-JUL-62 | married | F | F: 110,000 – 129,999 | 3600 |
| 380 | Meryl | Holden | Meryl.Holden@DIPPER.EXAMPLE.COM | 10-OCT-61 | single | F | H: 150,000 – 169,999 | 3700 |
| 447 | Richard | Coppola | Richard.Coppola@SISKIN.EXAMPLE.COM | 30-OCT-81 | married | F | C: 50,000 – 69,999 | 500 |
| 448 | Richard | Winters | Richard.Winters@SNIPE.EXAMPLE.COM | 30-NOV-54 | married | M | F: 110,000 – 129,999 | 500 |
| 450 | Rick | Lyon | Rick.Lyon@MERGANSER.EXAMPLE.COM | 01-JAN-41 | married | F | F: 110,000 – 129,999 | 1500 |
| 451 | Ridley | Hackman | Ridley.Hackman@ANHINGA.EXAMPLE.COM | 11-JAN-50 | single | F | H: 150,000 – 169,999 | 700 |
| 452 | Ridley | Coyote | Ridley.Coyote@ANI.EXAMPLE.COM | 31-JAN-49 | married | M | F: 110,000 – 129,999 | 700 |
| 454 | Rob | Russell | Rob.Russell@VERDIN.EXAMPLE.COM | 02-MAR-77 | married | M | E: 90,000 – 109,999 | 5000 |
| 458 | Robert | de Niro | Robert.deNiro@DOWITCHER.EXAMPLE.COM | 12-MAR-86 | single | F | H: 150,000 – 169,999 | 3700 |
| 466 | Rodolfo | Hershey | Rodolfo.Hershey@VIREO.EXAMPLE.COM | 11-APR-47 | single | M | F: 110,000 – 129,999 | 5000 |
| 467 | Rodolfo | Dench | Rodolfo.Dench@SCOTER.EXAMPLE.COM | 01-MAY-71 | married | F | F: 110,000 – 129,999 | 5000 |
| 468 | Rodolfo | Altman | Rodolfo.Altman@SHRIKE.EXAMPLE.COM | 11-MAY-83 | single | F | F: 110,000 – 129,999 | 5000 |
| 189 | Gena | Harris | Gena.Harris@PIPIT.EXAMPLE.COM | 30-JAN-55 | married | M | F: 110,000 – 129,999 | 1200 |
| 190 | Gena | Curtis | Gena.Curtis@PLOVER.EXAMPLE.COM | 09-FEB-82 | single | M | J: 190,000 – 249,999 | 1200 |
| 191 | Maureen | Sanders | Maureen.Sanders@PUFFIN.EXAMPLE.COM | 29-FEB-24 | married | M | A: Below 30,000 | 1200 |
| 192 | Sean | Stockwell | Sean.Stockwell@PYRRHULOXIA.EXAMPLE.COM | 30-MAR-56 | married | M | I: 170,000 – 189,999 | 1200 |
| 193 | Harry dean | Kinski | Harrydean.Kinski@REDPOLL.EXAMPLE.COM | 30-APR-55 | married | M | D: 70,000 – 89,999 | 1200 |
| 194 | Kathleen | Garcia | Kathleen.Garcia@REDSTART.EXAMPLE.COM | 30-MAY-71 | married | F | I: 170,000 – 189,999 | 1200 |
| 195 | Sean | Olin | Sean.Olin@SCAUP.EXAMPLE.COM | 09-JUN-86 | single | F | F: 110,000 – 129,999 | 1200 |
| 196 | Gerard | Dench | Gerard.Dench@SCOTER.EXAMPLE.COM | 29-JUN-53 | married | F | E: 90,000 – 109,999 | 1200 |
| 197 | Gerard | Altman | Gerard.Altman@SHRIKE.EXAMPLE.COM | 08-JUL-84 | single | F | F: 110,000 – 129,999 | 1200 |
| 198 | Maureen | de Funes | Maureen.deFunes@SISKIN.EXAMPLE.COM | 29-JUL-49 | married | F | D: 70,000 – 89,999 | 1200 |
| 199 | Clint | Chapman | Clint.Chapman@SNIPE.EXAMPLE.COM | 07-AUG-52 | single | F | F: 110,000 – 129,999 | 1400 |
| 200 | Clint | Gielgud | Clint.Gielgud@STILT.EXAMPLE.COM | 28-AUG-78 | married | F | E: 90,000 – 109,999 | 1400 |
| 201 | Eric | Prashant | Eric.Prashant@TATTLER.EXAMPLE.COM | 27-SEP-43 | married | F | C: 50,000 – 69,999 | 1400 |
| 202 | Ingrid | Welles | Ingrid.Welles@TEAL.EXAMPLE.COM | 27-OCT-39 | married | M | D: 70,000 – 89,999 | 1400 |
| 203 | Ingrid | Rampling | Ingrid.Rampling@WIGEON.EXAMPLE.COM | 05-NOV-48 | single | M | F: 110,000 – 129,999 | 1400 |
| 204 | Cliff | Puri | Cliff.Puri@CORMORANT.EXAMPLE.COM | 26-NOV-61 | married | M | J: 190,000 – 249,999 | 1400 |
| 205 | Emily | Pollack | Emily.Pollack@DIPPER.EXAMPLE.COM | 06-DEC-55 | single | M | L: 300,000 and above | 1400 |
| 206 | Fritz | Hackman | Fritz.Hackman@DUNLIN.EXAMPLE.COM | 26-DEC-83 | married | F | G: 130,000 – 149,999 | 1400 |
| 207 | Cybill | Laughton | Cybill.Laughton@EIDER.EXAMPLE.COM | 04-JAN-89 | single | M | F: 110,000 – 129,999 | 1400 |
| 208 | Cyndi | Griem | Cyndi.Griem@GALLINULE.EXAMPLE.COM | 25-JAN-56 | married | M | E: 90,000 – 109,999 | 1400 |
| 209 | Cyndi | Collins | Cyndi.Collins@GODWIT.EXAMPLE.COM | 04-FEB-46 | single | M | D: 70,000 – 89,999 | 1400 |
| 210 | Cybill | Clapton | Cybill.Clapton@GOLDENEYE.EXAMPLE.COM | 24-FEB-74 | married | F | D: 70,000 – 89,999 | 1400 |
| 211 | Luchino | Jordan | Luchino.Jordan@GREBE.EXAMPLE.COM | 06-MAR-83 | single | F | A: Below 30,000 | 1500 |
| 213 | Luchino | Bradford | Luchino.Bradford@PARULA.EXAMPLE.COM | 24-APR-76 | married | M | A: Below 30,000 | 1500 |
| 214 | Robin | Danson | Robin.Danson@PHAINOPEPLA.EXAMPLE.COM | 05-MAY-46 | single | M | F: 110,000 – 129,999 | 1500 |
| 215 | Orson | Perkins | Orson.Perkins@PINTAIL.EXAMPLE.COM | 24-MAY-85 | married | M | E: 90,000 – 109,999 | 1900 |
| 216 | Orson | Koirala | Orson.Koirala@PIPIT.EXAMPLE.COM | 04-JUN-79 | single | F | J: 190,000 – 249,999 | 1900 |
| 218 | Bryan | Dvrrie | Bryan.Dvrrie@REDPOLL.EXAMPLE.COM | 04-JUL-66 | single | F | G: 130,000 – 149,999 | 2300 |
| 219 | Ajay | Sen | Ajay.Sen@TROGON.EXAMPLE.COM | 13-JUL-77 | single | M | K: 250,000 – 299,999 | 2300 |
| 220 | Carol | Jordan | Carol.Jordan@TURNSTONE.EXAMPLE.COM | 23-JUL-76 | married | M | I: 170,000 – 189,999 | 2300 |
| 221 | Carol | Bradford | Carol.Bradford@VERDIN.EXAMPLE.COM | 02-AUG-53 | single | M | G: 130,000 – 149,999 | 2300 |
| 223 | Cary | Olin | Cary.Olin@WATERTHRUSH.EXAMPLE.COM | 02-SEP-35 | single | M | D: 70,000 – 89,999 | 2300 |
| 224 | Clara | Krige | Clara.Krige@WHIMBREL.EXAMPLE.COM | 22-SEP-59 | married | M | H: 150,000 – 169,999 | 2300 |
| 225 | Clara | Ganesan | Clara.Ganesan@WIGEON.EXAMPLE.COM | 02-OCT-59 | single | F | I: 170,000 – 189,999 | 2300 |
| 227 | Kathy | Prashant | Kathy.Prashant@ANI.EXAMPLE.COM | 01-NOV-83 | single | M | J: 190,000 – 249,999 | 2400 |
| 228 | Graham | Neeson | Graham.Neeson@AUKLET.EXAMPLE.COM | 20-NOV-41 | married | M | E: 90,000 – 109,999 | 2400 |
| 229 | Ian | Chapman | Ian.Chapman@AVOCET.EXAMPLE.COM | 30-NOV-65 | single | M | D: 70,000 – 89,999 | 2400 |
| 230 | Danny | Wright | Danny.Wright@BITTERN.EXAMPLE.COM | 20-DEC-48 | married | M | F: 110,000 – 129,999 | 2400 |
| 232 | Donald | Hunter | Donald.Hunter@CHACHALACA.EXAMPLE.COM | 20-JAN-60 | married | M | G: 130,000 – 149,999 | 2400 |
| 233 | Graham | Spielberg | Graham.Spielberg@CHUKAR.EXAMPLE.COM | 29-JAN-70 | single | M | D: 70,000 – 89,999 | 2400 |
| 234 | Dan | Roberts | Dan.Roberts@NUTHATCH.EXAMPLE.COM | 18-FEB-73 | married | M | I: 170,000 – 189,999 | 2400 |
| 235 | Edward | Oates | Edward.Oates@OVENBIRD.EXAMPLE.COM | 21-MAR-55 | married | M | E: 90,000 – 109,999 | 2400 |
| 236 | Edward | Julius | Edward.Julius@PARULA.EXAMPLE.COM | 30-MAR-86 | single | M | F: 110,000 – 129,999 | 2400 |
| 237 | Farrah | Quinlan | Farrah.Quinlan@PHAINOPEPLA.EXAMPLE.COM | 19-APR-48 | married | M | A: Below 30,000 | 2400 |
| 238 | Farrah | Lange | Farrah.Lange@PHALAROPE.EXAMPLE.COM | 19-MAY-81 | married | M | F: 110,000 – 129,999 | 2400 |
| 239 | Hal | Stockwell | Hal.Stockwell@PHOEBE.EXAMPLE.COM | 29-MAY-66 | single | M | H: 150,000 – 169,999 | 2400 |
| 240 | Malcolm | Kanth | Malcolm.Kanth@PIPIT.EXAMPLE.COM | 19-JUN-55 | married | F | H: 150,000 – 169,999 | 2400 |
| 241 | Malcolm | Broderick | Malcolm.Broderick@PLOVER.EXAMPLE.COM | 28-JUN-52 | single | M | F: 110,000 – 129,999 | 2400 |
| 242 | Mary | Lemmon | Mary.Lemmon@PUFFIN.EXAMPLE.COM | 18-JUL-62 | married | M | K: 250,000 – 299,999 | 2400 |
| 243 | Mary | Collins | Mary.Collins@PYRRHULOXIA.EXAMPLE.COM | 18-AUG-55 | married | F | F: 110,000 – 129,999 | 2400 |
| 244 | Matt | Gueney | Matt.Gueney@REDPOLL.EXAMPLE.COM | 27-AUG-52 | single | M | G: 130,000 – 149,999 | 2400 |
| 245 | Max | von Sydow | Max.vonSydow@REDSTART.EXAMPLE.COM | 07-SEP-67 | single | M | K: 250,000 – 299,999 | 2400 |
| 246 | Max | Schell | Max.Schell@SANDERLING.EXAMPLE.COM | 16-SEP-84 | married | M | F: 110,000 – 129,999 | 2400 |
| 247 | Cynda | Whitcraft | Cynda.Whitcraft@SANDPIPER.EXAMPLE.COM | 16-OCT-54 | married | M | B: 30,000 – 49,999 | 2400 |
| 248 | Donald | Minnelli | Donald.Minnelli@SCAUP.EXAMPLE.COM | 26-OCT-53 | single | M | F: 110,000 – 129,999 | 2400 |
| 249 | Hannah | Broderick | Hannah.Broderick@SHRIKE.EXAMPLE.COM | 16-NOV-75 | married | M | D: 70,000 – 89,999 | 2400 |
| 250 | Dan | Williams | Dan.Williams@SISKIN.EXAMPLE.COM | 25-NOV-84 | single | M | A: Below 30,000 | 2400 |
| 251 | Raul | Wilder | Raul.Wilder@STILT.EXAMPLE.COM | 15-DEC-45 | married | M | E: 90,000 – 109,999 | 2500 |
| 252 | Shah Rukh | Field | ShahRukh.Field@WHIMBREL.EXAMPLE.COM | 25-DEC-57 | single | M | I: 170,000 – 189,999 | 2500 |
| 253 | Sally | Bogart | Sally.Bogart@WILLET.EXAMPLE.COM | 14-JAN-85 | married | M | H: 150,000 – 169,999 | 2500 |
| 254 | Bruce | Bates | Bruce.Bates@COWBIRD.EXAMPLE.COM | 25-JAN-40 | single | M | D: 70,000 – 89,999 | 3500 |
| 256 | Ben | de Niro | Ben.deNiro@KINGLET.EXAMPLE.COM | 24-FEB-80 | single | M | I: 170,000 – 189,999 | 3500 |
| 257 | Emmet | Walken | Emmet.Walken@LIMPKIN.EXAMPLE.COM | 15-MAR-75 | married | M | B: 30,000 – 49,999 | 3600 |
| 258 | Ellen | Palin | Ellen.Palin@LONGSPUR.EXAMPLE.COM | 14-APR-77 | married | M | H: 150,000 – 169,999 | 3600 |
| 259 | Denholm | von Sydow | Denholm.vonSydow@MERGANSER.EXAMPLE.COM | 24-APR-43 | single | F | D: 70,000 – 89,999 | 3600 |
| 261 | Emmet | Garcia | Emmet.Garcia@VIREO.EXAMPLE.COM | 13-JUN-61 | married | M | H: 150,000 – 169,999 | 3600 |
| 124 | Diane | Mason | Diane.Mason@TROGON.EXAMPLE.COM | 16-MAR-81 | married | F | K: 250,000 – 299,999 | 200 |
| 125 | Dianne | Andrews | Dianne.Andrews@TURNSTONE.EXAMPLE.COM | 27-MAR-59 | single | F | F: 110,000 – 129,999 | 200 |
| 126 | Charles | Field | Charles.Field@BECARD.EXAMPLE.COM | 16-APR-46 | married | F | F: 110,000 – 129,999 | 300 |
| 128 | Isabella | Reed | Isabella.Reed@BRANT.EXAMPLE.COM | 16-MAY-54 | married | F | J: 190,000 – 249,999 | 300 |
| 129 | Louis | Jackson | Louis.Jackson@CARACARA.EXAMPLE.COM | 26-MAY-39 | single | M | D: 70,000 – 89,999 | 400 |
| 130 | Louis | Edwards | Louis.Edwards@CHACHALACA.EXAMPLE.COM | 14-JUN-44 | married | M | C: 50,000 – 69,999 | 400 |
| 131 | Doris | Dutt | Doris.Dutt@CHUKAR.EXAMPLE.COM | 14-JUL-76 | married | F | C: 50,000 – 69,999 | 400 |
| 133 | Kristin | Malden | Kristin.Malden@GODWIT.EXAMPLE.COM | 14-AUG-50 | married | F | C: 50,000 – 69,999 | 400 |
| 134 | Sissy | Puri | Sissy.Puri@GREBE.EXAMPLE.COM | 12-SEP-72 | married | F | F: 110,000 – 129,999 | 400 |
| 135 | Doris | Bel Geddes | Doris.BelGeddes@GROSBEAK.EXAMPLE.COM | 22-SEP-80 | single | F | B: 30,000 – 49,999 | 400 |
| 136 | Sissy | Warden | Sissy.Warden@JACANA.EXAMPLE.COM | 12-OCT-44 | married | F | F: 110,000 – 129,999 | 400 |
| 138 | Mani | Fonda | Mani.Fonda@KINGLET.EXAMPLE.COM | 11-NOV-77 | married | M | F: 110,000 – 129,999 | 500 |
| 139 | Placido | Kubrick | Placido.Kubrick@SCOTER.EXAMPLE.COM | 22-NOV-42 | single | M | F: 110,000 – 129,999 | 500 |
| 140 | Claudia | Kurosawa | Claudia.Kurosawa@CHUKAR.EXAMPLE.COM | 11-DEC-81 | married | M | E: 90,000 – 109,999 | 500 |
| 141 | Maximilian | Henner | Maximilian.Henner@DUNLIN.EXAMPLE.COM | 21-DEC-73 | single | M | H: 150,000 – 169,999 | 500 |
| 143 | Sachin | Neeson | Sachin.Neeson@GALLINULE.EXAMPLE.COM | 20-JAN-62 | single | M | F: 110,000 – 129,999 | 500 |
| 767 | Klaus Maria | Russell | KlausMaria.Russell@COOT.EXAMPLE.COM | 20-JAN-70 | married | M | C: 50,000 – 69,999 | 100 |
| 771 | Kris | de Niro | Kris.deNiro@DUNLIN.EXAMPLE.COM | 21-MAR-77 | married | M | E: 90,000 – 109,999 | 400 |
| 826 | Alain | Barkin | Alain.Barkin@VERDIN.EXAMPLE.COM | 20-MAY-69 | married | M | A: Below 30,000 | 500 |
| 830 | Albert | Dutt | Albert.Dutt@CURLEW.EXAMPLE.COM | 29-AUG-47 | single | M | F: 110,000 – 129,999 | 3500 |
| 850 | Amanda | Finney | Amanda.Finney@STILT.EXAMPLE.COM | 23-AUG-91 | single | M | J: 190,000 – 249,999 | 2300 |
| 905 | Billy | Hershey | Billy.Hershey@BULBUL.EXAMPLE.COM | 22-OCT-87 | single | F | G: 130,000 – 149,999 | 1400 |
| 911 | Bo | Dickinson | Bo.Dickinson@TANAGER.EXAMPLE.COM | 11-DEC-81 | married | M | H: 150,000 – 169,999 | 5000 |
| 919 | Brooke | Michalkow | Brooke.Michalkow@GROSBEAK.EXAMPLE.COM | 19-FEB-62 | single | M | D: 70,000 – 89,999 | 3500 |
| 924 | Bruno | Montand | Bruno.Montand@TOWHEE.EXAMPLE.COM | 20-APR-34 | single | F | D: 70,000 – 89,999 | 5000 |
| 930 | Buster | Jackson | Buster.Jackson@KILLDEER.EXAMPLE.COM | 08-JUL-24 | married | M | A: Below 30,000 | 900 |
| 980 | Daniel | Loren | Daniel.Loren@REDSTART.EXAMPLE.COM | 17-SEP-70 | single | M | F: 110,000 – 129,999 | 200 |
| 473 | Rolf | Ashby | Rolf.Ashby@WATERTHRUSH.EXAMPLE.COM | 10-JUN-49 | single | M | G: 130,000 – 149,999 | 5000 |
| 474 | Romy | Sharif | Romy.Sharif@SNIPE.EXAMPLE.COM | 29-JUN-76 | married | M | F: 110,000 – 129,999 | 5000 |
| 475 | Romy | McCarthy | Romy.McCarthy@STILT.EXAMPLE.COM | 10-JUL-33 | single | F | D: 70,000 – 89,999 | 5000 |
| 476 | Rosanne | Hopkins | Rosanne.Hopkins@ANI.EXAMPLE.COM | 30-JUL-79 | married | M | D: 70,000 – 89,999 | 300 |
| 477 | Rosanne | Douglas | Rosanne.Douglas@ANHINGA.EXAMPLE.COM | 09-AUG-70 | single | F | F: 110,000 – 129,999 | 300 |
| 478 | Rosanne | Baldwin | Rosanne.Baldwin@AUKLET.EXAMPLE.COM | 29-AUG-67 | married | F | A: Below 30,000 | 300 |
| 479 | Roxanne | Shepherd | Roxanne.Shepherd@DUNLIN.EXAMPLE.COM | 08-SEP-63 | single | F | I: 170,000 – 189,999 | 1200 |
| 480 | Roxanne | Michalkow | Roxanne.Michalkow@EIDER.EXAMPLE.COM | 18-SEP-73 | single | M | L: 300,000 and above | 1200 |
| 481 | Roy | Hulce | Roy.Hulce@SISKIN.EXAMPLE.COM | 28-SEP-67 | married | F | E: 90,000 – 109,999 | 5000 |
| 482 | Roy | Dunaway | Roy.Dunaway@WHIMBREL.EXAMPLE.COM | 28-OCT-55 | married | F | F: 110,000 – 129,999 | 5000 |
| 483 | Roy | Bates | Roy.Bates@WIGEON.EXAMPLE.COM | 07-NOV-42 | single | M | G: 130,000 – 149,999 | 5000 |
| 487 | Rufus | Dvrrie | Rufus.Dvrrie@PLOVER.EXAMPLE.COM | 26-NOV-60 | married | M | J: 190,000 – 249,999 | 1900 |
| 488 | Rufus | Belushi | Rufus.Belushi@PUFFIN.EXAMPLE.COM | 26-DEC-52 | married | M | G: 130,000 – 149,999 | 1900 |
| 492 | Sally | Edwards | Sally.Edwards@TURNSTONE.EXAMPLE.COM | 06-JAN-80 | married | F | K: 250,000 – 299,999 | 2500 |
| 496 | Scott | Jordan | Scott.Jordan@WILLET.EXAMPLE.COM | 25-JAN-45 | married | F | G: 130,000 – 149,999 | 5000 |
| 605 | Shammi | Pacino | Shammi.Pacino@BITTERN.EXAMPLE.COM | 05-FEB-59 | single | F | B: 30,000 – 49,999 | 500 |
| 606 | Sharmila | Kazan | Sharmila.Kazan@BRANT.EXAMPLE.COM | 25-FEB-38 | married | F | D: 70,000 – 89,999 | 500 |
| 609 | Shelley | Taylor | Shelley.Taylor@CURLEW.EXAMPLE.COM | 26-MAR-57 | married | F | I: 170,000 – 189,999 | 3700 |
| 615 | Shyam | Plummer | Shyam.Plummer@VEERY.EXAMPLE.COM | 25-APR-69 | married | M | J: 190,000 – 249,999 | 2500 |
| 621 | Silk | Kurosawa | Silk.Kurosawa@NUTHATCH.EXAMPLE.COM | 05-MAY-84 | single | F | G: 130,000 – 149,999 | 1500 |
| 712 | M. Emmet | Stockwell | M.Emmet.Stockwell@COOT.EXAMPLE.COM | 05-JUN-83 | single | M | H: 150,000 – 169,999 | 3700 |
| 713 | M. Emmet | Olin | M.Emmet.Olin@CORMORANT.EXAMPLE.COM | 24-JUN-48 | married | F | F: 110,000 – 129,999 | 3700 |
| 717 | Mammutti | Sutherland | Mammutti.Sutherland@TOWHEE.EXAMPLE.COM | 25-JUL-74 | married | M | D: 70,000 – 89,999 | 500 |
| 719 | Mani | Kazan | Mani.Kazan@TROGON.EXAMPLE.COM | 04-AUG-62 | single | M | I: 170,000 – 189,999 | 500 |
| 721 | Mani | Buckley | Mani.Buckley@TURNSTONE.EXAMPLE.COM | 23-AUG-44 | married | M | E: 90,000 – 109,999 | 500 |
| 729 | Margaux | Krige | Margaux.Krige@DUNLIN.EXAMPLE.COM | 23-SEP-42 | married | M | F: 110,000 – 129,999 | 2400 |
| 731 | Margaux | Capshaw | Margaux.Capshaw@EIDER.EXAMPLE.COM | 02-OCT-33 | single | M | B: 30,000 – 49,999 | 2400 |
| 754 | Kevin | Goodman | Kevin.Goodman@WIGEON.EXAMPLE.COM | 22-OCT-48 | married | M | E: 90,000 – 109,999 | 700 |
| 756 | Kevin | Wilder | Kevin.Wilder@AUKLET.EXAMPLE.COM | 02-DEC-86 | single | M | G: 130,000 – 149,999 | 700 |
| 757 | Kiefer | Reynolds | Kiefer.Reynolds@AVOCET.EXAMPLE.COM | 21-DEC-53 | married | M | F: 110,000 – 129,999 | 700 |
| 766 | Klaus | Young | Klaus.Young@OVENBIRD.EXAMPLE.COM | 01-JAN-55 | single | M | H: 150,000 – 169,999 | 600 |
| 768 | Klaus Maria | MacLaine | KlausMaria.MacLaine@CHUKAR.EXAMPLE.COM | 31-JAN-80 | single | M | A: Below 30,000 | 100 |
| 769 | Kris | Harris | Kris.Harris@DIPPER.EXAMPLE.COM | 19-FEB-49 | married | M | G: 130,000 – 149,999 | 400 |
| 770 | Kris | Curtis | Kris.Curtis@DOWITCHER.EXAMPLE.COM | 02-MAR-55 | single | M | K: 250,000 – 299,999 | 400 |
| 772 | Kristin | Savage | Kristin.Savage@CURLEW.EXAMPLE.COM | 01-APR-43 | single | F | F: 110,000 – 129,999 | 400 |
| 782 | Laurence | Seignier | Laurence.Seignier@CREEPER.EXAMPLE.COM | 21-APR-83 | married | M | F: 110,000 – 129,999 | 1200 |
| 825 | Alain | Dreyfuss | Alain.Dreyfuss@VEERY.EXAMPLE.COM | 30-APR-76 | single | M | J: 190,000 – 249,999 | 500 |
| 827 | Alain | Siegel | Alain.Siegel@VIREO.EXAMPLE.COM | 19-JUN-73 | married | F | I: 170,000 – 189,999 | 500 |
| 828 | Alan | Minnelli | Alan.Minnelli@TANAGER.EXAMPLE.COM | 20-JUL-55 | married | M | D: 70,000 – 89,999 | 2300 |
| 829 | Alan | Hunter | Alan.Hunter@TATTLER.EXAMPLE.COM | 19-AUG-59 | married | M | I: 170,000 – 189,999 | 2300 |
| 831 | Albert | Bel Geddes | Albert.BelGeddes@DIPPER.EXAMPLE.COM | 17-SEP-52 | married | M | E: 90,000 – 109,999 | 3500 |
| 832 | Albert | Spacek | Albert.Spacek@DOWITCHER.EXAMPLE.COM | 27-SEP-76 | single | M | F: 110,000 – 129,999 | 3500 |
| 833 | Alec | Moranis | Alec.Moranis@DUNLIN.EXAMPLE.COM | 17-OCT-34 | married | M | D: 70,000 – 89,999 | 3500 |
| 834 | Alec | Idle | Alec.Idle@EIDER.EXAMPLE.COM | 27-OCT-64 | single | M | F: 110,000 – 129,999 | 3500 |
| 835 | Alexander | Eastwood | Alexander.Eastwood@AVOCET.EXAMPLE.COM | 16-NOV-42 | married | F | E: 90,000 – 109,999 | 1200 |
| 836 | Alexander | Berenger | Alexander.Berenger@BECARD.EXAMPLE.COM | 16-DEC-52 | married | F | C: 50,000 – 69,999 | 1200 |
| 837 | Alexander | Stanton | Alexander.Stanton@AUKLET.EXAMPLE.COM | 15-JAN-65 | married | F | D: 70,000 – 89,999 | 1200 |
| 838 | Alfred | Nicholson | Alfred.Nicholson@CREEPER.EXAMPLE.COM | 25-JAN-85 | single | M | F: 110,000 – 129,999 | 3500 |
| 839 | Alfred | Johnson | Alfred.Johnson@FLICKER.EXAMPLE.COM | 14-FEB-57 | married | M | J: 190,000 – 249,999 | 3500 |
| 840 | Ali | Elliott | Ali.Elliott@ANHINGA.EXAMPLE.COM | 16-MAR-51 | married | M | G: 130,000 – 149,999 | 1400 |
| 841 | Ali | Boyer | Ali.Boyer@WILLET.EXAMPLE.COM | 26-MAR-51 | single | M | F: 110,000 – 129,999 | 1400 |
| 842 | Ali | Stern | Ali.Stern@YELLOWTHROAT.EXAMPLE.COM | 15-APR-77 | married | M | E: 90,000 – 109,999 | 1400 |
| 843 | Alice | Oates | Alice.Oates@BECARD.EXAMPLE.COM | 25-APR-59 | single | F | D: 70,000 – 89,999 | 700 |
| 844 | Alice | Julius | Alice.Julius@BITTERN.EXAMPLE.COM | 15-MAY-44 | married | F | D: 70,000 – 89,999 | 700 |
| 845 | Ally | Fawcett | Ally.Fawcett@PLOVER.EXAMPLE.COM | 25-MAY-44 | single | F | A: Below 30,000 | 5000 |
| 846 | Ally | Brando | Ally.Brando@PINTAIL.EXAMPLE.COM | 14-JUN-62 | married | F | L: 300,000 and above | 5000 |
| 847 | Ally | Streep | Ally.Streep@PIPIT.EXAMPLE.COM | 14-JUL-42 | married | M | A: Below 30,000 | 5000 |
| 848 | Alonso | Olmos | Alonso.Olmos@PHALAROPE.EXAMPLE.COM | 24-JUL-48 | single | F | F: 110,000 – 129,999 | 1800 |
| 849 | Alonso | Kaurusmdki | Alonso.Kaurusmdki@PHOEBE.EXAMPLE.COM | 13-AUG-80 | married | F | E: 90,000 – 109,999 | 1800 |
| 851 | Amanda | Brown | Amanda.Brown@THRASHER.EXAMPLE.COM | 12-SEP-51 | married | F | B: 30,000 – 49,999 | 2300 |
| 852 | Amanda | Tanner | Amanda.Tanner@TEAL.EXAMPLE.COM | 22-SEP-53 | single | F | G: 130,000 – 149,999 | 2300 |
| 853 | Amrish | Palin | Amrish.Palin@EIDER.EXAMPLE.COM | 12-OCT-77 | married | F | I: 170,000 – 189,999 | 400 |
| 906 | Billy | Dench | Billy.Dench@CARACARA.EXAMPLE.COM | 11-NOV-58 | married | M | I: 170,000 – 189,999 | 1400 |
| 909 | Blake | Mastroianni | Blake.Mastroianni@FLICKER.EXAMPLE.COM | 21-NOV-49 | single | M | D: 70,000 – 89,999 | 1200 |
| 912 | Bo | Ashby | Bo.Ashby@TATTLER.EXAMPLE.COM | 21-DEC-56 | single | M | I: 170,000 – 189,999 | 5000 |
| 913 | Bob | Sharif | Bob.Sharif@TEAL.EXAMPLE.COM | 10-JAN-85 | married | M | F: 110,000 – 129,999 | 5000 |
| 916 | Brian | Douglas | Brian.Douglas@AVOCET.EXAMPLE.COM | 20-JAN-78 | single | M | J: 190,000 – 249,999 | 500 |
| 917 | Brian | Baldwin | Brian.Baldwin@BECARD.EXAMPLE.COM | 09-FEB-75 | married | M | E: 90,000 – 109,999 | 500 |
| 920 | Bruce | Hulce | Bruce.Hulce@JACANA.EXAMPLE.COM | 10-MAR-72 | married | M | F: 110,000 – 129,999 | 3500 |
| 921 | Bruce | Dunaway | Bruce.Dunaway@JUNCO.EXAMPLE.COM | 20-MAR-48 | single | F | F: 110,000 – 129,999 | 3500 |
| 923 | Bruno | Slater | Bruno.Slater@THRASHER.EXAMPLE.COM | 09-APR-60 | married | F | G: 130,000 – 149,999 | 5000 |
| 927 | Bryan | Belushi | Bryan.Belushi@TOWHEE.EXAMPLE.COM | 10-MAY-61 | married | M | I: 170,000 – 189,999 | 2300 |
| 928 | Burt | Spielberg | Burt.Spielberg@TROGON.EXAMPLE.COM | 09-JUN-54 | married | M | E: 90,000 – 109,999 | 5000 |
| 929 | Burt | Neeson | Burt.Neeson@TURNSTONE.EXAMPLE.COM | 19-JUN-78 | single | M | F: 110,000 – 129,999 | 5000 |
| 931 | Buster | Edwards | Buster.Edwards@KINGLET.EXAMPLE.COM | 08-AUG-47 | married | M | F: 110,000 – 129,999 | 900 |
| 932 | Buster | Bogart | Buster.Bogart@KISKADEE.EXAMPLE.COM | 17-AUG-52 | single | M | H: 150,000 – 169,999 | 900 |
| 934 | C. Thomas | Nolte | C.Thomas.Nolte@PHOEBE.EXAMPLE.COM | 07-SEP-59 | married | M | H: 150,000 – 169,999 | 600 |
| 981 | Daniel | Gueney | Daniel.Gueney@REDPOLL.EXAMPLE.COM | 07-OCT-73 | married | M | K: 250,000 – 299,999 | 200 |
| 123 | Elizabeth | Brown | Elizabeth.Brown@THRASHER.EXAMPLE.COM | 24-FEB-49 | single | F | F: 110,000 – 129,999 | 200 |
| 127 | Charles | Broderick | Charles.Broderick@BITTERN.EXAMPLE.COM | 26-APR-43 | single | F | B: 30,000 – 49,999 | 300 |
| 132 | Doris | Spacek | Doris.Spacek@FLICKER.EXAMPLE.COM | 25-JUL-87 | single | M | H: 150,000 – 169,999 | 400 |
| 137 | Elia | Brando | Elia.Brando@JUNCO.EXAMPLE.COM | 23-OCT-51 | single | M | H: 150,000 – 169,999 | 500 |
| 142 | Sachin | Spielberg | Sachin.Spielberg@GADWALL.EXAMPLE.COM | 11-JAN-71 | married | M | C: 50,000 – 69,999 | 500 |
| 163 | Ernest | Chandar | Ernest.Chandar@LIMPKIN.EXAMPLE.COM | 16-DEC-62 | single | M | H: 150,000 – 169,999 | 900 |
| 168 | Hema | Voight | Hema.Voight@PHALAROPE.EXAMPLE.COM | 16-MAR-50 | single | M | H: 150,000 – 169,999 | 1200 |
| 173 | Kathleen | Walken | Kathleen.Walken@VIREO.EXAMPLE.COM | 04-JUN-73 | married | F | E: 90,000 – 109,999 | 1200 |
| 178 | Grace | Belushi | Grace.Belushi@KILLDEER.EXAMPLE.COM | 02-SEP-86 | married | M | H: 150,000 – 169,999 | 1200 |
| 182 | Lauren | Dench | Lauren.Dench@LONGSPUR.EXAMPLE.COM | 22-OCT-75 | single | M | K: 250,000 – 299,999 | 1200 |
| 187 | Grace | Dvrrie | Grace.Dvrrie@PHOEBE.EXAMPLE.COM | 31-DEC-48 | married | F | E: 90,000 – 109,999 | 1200 |
| 212 | Luchino | Falk | Luchino.Falk@OVENBIRD.EXAMPLE.COM | 25-MAR-72 | married | M | L: 300,000 and above | 1500 |
| 217 | Bryan | Huston | Bryan.Huston@PYRRHULOXIA.EXAMPLE.COM | 23-JUN-73 | married | F | B: 30,000 – 49,999 | 2300 |
| 222 | Cary | Stockwell | Cary.Stockwell@VIREO.EXAMPLE.COM | 23-AUG-63 | married | M | I: 170,000 – 189,999 | 2300 |
| 226 | Ajay | Andrews | Ajay.Andrews@YELLOWTHROAT.EXAMPLE.COM | 21-OCT-56 | married | M | F: 110,000 – 129,999 | 2300 |
| 231 | Danny | Rourke | Danny.Rourke@BRANT.EXAMPLE.COM | 31-DEC-47 | single | M | F: 110,000 – 129,999 | 2400 |
| 255 | Brooke | Shepherd | Brooke.Shepherd@KILLDEER.EXAMPLE.COM | 13-FEB-85 | married | M | C: 50,000 – 69,999 | 3500 |
| 260 | Ellen | Khan | Ellen.Khan@VERDIN.EXAMPLE.COM | 14-MAY-62 | married | M | F: 110,000 – 129,999 | 3600 |
| 264 | George | Adjani | George.Adjani@WILLET.EXAMPLE.COM | 12-AUG-47 | married | F | F: 110,000 – 129,999 | 3600 |
| 269 | Kyle | Martin | Kyle.Martin@EIDER.EXAMPLE.COM | 11-OCT-58 | married | F | D: 70,000 – 89,999 | 3700 |
| 273 | Bo | Hitchcock | Bo.Hitchcock@ANHINGA.EXAMPLE.COM | 09-JAN-54 | married | M | E: 90,000 – 109,999 | 5000 |
| 339 | Marilou | Landis | Marilou.Landis@TATTLER.EXAMPLE.COM | 13-JAN-33 | single | M | A: Below 30,000 | 500 |
| 344 | Marlon | Godard | Marlon.Godard@MOORHEN.EXAMPLE.COM | 14-MAR-60 | single | M | H: 150,000 – 169,999 | 2400 |
| 348 | Kelly | Lange | Kelly.Lange@SANDPIPER.EXAMPLE.COM | 14-MAY-71 | single | M | F: 110,000 – 129,999 | 3600 |
| 352 | Kenneth | Redford | Kenneth.Redford@REDSTART.EXAMPLE.COM | 13-JUL-71 | single | F | B: 30,000 – 49,999 | 3600 |
| 378 | Meg | Sen | Meg.Sen@COWBIRD.EXAMPLE.COM | 30-SEP-53 | married | M | C: 50,000 – 69,999 | 3700 |
| 449 | Rick | Romero | Rick.Romero@LONGSPUR.EXAMPLE.COM | 10-DEC-51 | single | F | B: 30,000 – 49,999 | 1500 |
| 453 | Ridley | Young | Ridley.Young@CHUKAR.EXAMPLE.COM | 10-FEB-45 | single | M | F: 110,000 – 129,999 | 700 |
| 463 | Robin | Adjani | Robin.Adjani@MOORHEN.EXAMPLE.COM | 01-APR-49 | married | F | C: 50,000 – 69,999 | 1500 |
| 470 | Roger | Mastroianni | Roger.Mastroianni@CREEPER.EXAMPLE.COM | 31-MAY-67 | married | M | L: 300,000 and above | 3700 |
| 607 | Sharmila | Fonda | Sharmila.Fonda@BUFFLEHEAD.EXAMPLE.COM | 06-MAR-49 | single | F | H: 150,000 – 169,999 | 500 |
| 627 | Sivaji | Gielgud | Sivaji.Gielgud@BULBUL.EXAMPLE.COM | 25-MAY-49 | married | F | D: 70,000 – 89,999 | 500 |
| 715 | Malcolm | Field | Malcolm.Field@DOWITCHER.EXAMPLE.COM | 05-JUL-51 | single | F | G: 130,000 – 149,999 | 2400 |
| 727 | Margaret | Ustinov | Margaret.Ustinov@ANHINGA.EXAMPLE.COM | 02-SEP-49 | single | M | H: 150,000 – 169,999 | 1200 |
| 755 | Kevin | Cleveland | Kevin.Cleveland@WILLET.EXAMPLE.COM | 21-NOV-81 | married | M | H: 150,000 – 169,999 | 700 |
| customer_id | cust_first_name | cust_last_name | cust_email | date_of_birth | marital_status | gender | income_level | credit_limit | order_count | total_sale | average_sale | minimum_sale | maximum_sale |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 144 | Sivaji | Landis | Sivaji.Landis@GOLDENEYE.EXAMPLE.COM | 09-FEB-70 | married | M | F: 110,000 – 129,999 | 500 | 5 | 160284.6 | 32056.92 | 5537.8 | 71173 |
| 145 | Mammutti | Pacino | Mammutti.Pacino@GREBE.EXAMPLE.COM | 19-FEB-46 | single | M | F: 110,000 – 129,999 | 500 | 5 | 71717.9 | 14343.58 | 1388 | 36374.7 |
| 146 | Elia | Fawcett | Elia.Fawcett@JACANA.EXAMPLE.COM | 12-MAR-63 | married | F | L: 300,000 and above | 500 | 5 | 88462.6 | 17692.52 | 86 | 29249.1 |
| 147 | Ishwarya | Roberts | Ishwarya.Roberts@LAPWING.EXAMPLE.COM | 21-MAR-44 | single | F | G: 130,000 – 149,999 | 600 | 5 | 371278.2 | 74255.64 | 1500.8 | 295892 |
| 148 | Gustav | Steenburgen | Gustav.Steenburgen@PINTAIL.EXAMPLE.COM | 10-APR-50 | married | M | F: 110,000 – 129,999 | 600 | 5 | 185700.5 | 37140.1 | 2854.2 | 144054.8 |
| 149 | Markus | Rampling | Markus.Rampling@PUFFIN.EXAMPLE.COM | 20-APR-41 | single | M | D: 70,000 – 89,999 | 600 | 5 | 403119.7 | 80623.94 | 9055 | 268651.8 |
| 150 | Goldie | Slater | Goldie.Slater@PYRRHULOXIA.EXAMPLE.COM | 11-MAY-51 | married | M | D: 70,000 – 89,999 | 700 | 1 | 282694.3 | 282694.3 | 282694.3 | 282694.3 |
| 151 | Divine | Aykroyd | Divine.Aykroyd@REDSTART.EXAMPLE.COM | 20-MAY-76 | single | M | F: 110,000 – 129,999 | 700 | 1 | 17620 | 17620 | 17620 | 17620 |
| 152 | Dieter | Matthau | Dieter.Matthau@VERDIN.EXAMPLE.COM | 09-JUN-22 | married | M | A: Below 30,000 | 700 | 1 | 7616.8 | 7616.8 | 7616.8 | 7616.8 |
| 153 | Divine | Sheen | Divine.Sheen@COWBIRD.EXAMPLE.COM | 20-JUN-67 | single | M | I: 170,000 – 189,999 | 700 | 1 | 48070.6 | 48070.6 | 48070.6 | 48070.6 |
| 154 | Frederic | Grodin | Frederic.Grodin@CREEPER.EXAMPLE.COM | 29-JUN-65 | single | F | L: 300,000 and above | 700 | 1 | 26632 | 26632 | 26632 | 26632 |
| 155 | Frederico | Romero | Frederico.Romero@CURLEW.EXAMPLE.COM | 09-JUL-42 | married | M | E: 90,000 – 109,999 | 700 | 1 | 23431.9 | 23431.9 | 23431.9 | 23431.9 |
| 156 | Goldie | Montand | Goldie.Montand@DIPPER.EXAMPLE.COM | 09-AUG-55 | married | F | F: 110,000 – 129,999 | 700 | 1 | 68501 | 68501 | 68501 | 68501 |
| 157 | Sidney | Capshaw | Sidney.Capshaw@DUNLIN.EXAMPLE.COM | 18-AUG-69 | single | M | G: 130,000 – 149,999 | 700 | 1 | 7110.3 | 7110.3 | 7110.3 | 7110.3 |
| 158 | Frederico | Lyon | Frederico.Lyon@FLICKER.EXAMPLE.COM | 07-SEP-70 | married | M | J: 190,000 – 249,999 | 700 | 1 | 25270.3 | 25270.3 | 25270.3 | 25270.3 |
| 159 | Eddie | Boyer | Eddie.Boyer@GALLINULE.EXAMPLE.COM | 07-OCT-53 | married | M | G: 130,000 – 149,999 | 700 | 1 | 69286.4 | 69286.4 | 69286.4 | 69286.4 |
| 160 | Eddie | Stern | Eddie.Stern@GODWIT.EXAMPLE.COM | 06-NOV-50 | married | M | G: 130,000 – 149,999 | 700 | 1 | 969.2 | 969.2 | 969.2 | 969.2 |
| 161 | Ernest | Weaver | Ernest.Weaver@GROSBEAK.EXAMPLE.COM | 16-NOV-42 | single | M | B: 30,000 – 49,999 | 900 | 1 | 600 | 600 | 600 | 600 |
| 162 | Ernest | George | Ernest.George@LAPWING.EXAMPLE.COM | 07-DEC-75 | married | M | D: 70,000 – 89,999 | 900 | 1 | 220 | 220 | 220 | 220 |
| 164 | Charlotte | Kazan | Charlotte.Kazan@MERGANSER.EXAMPLE.COM | 05-JAN-54 | married | M | I: 170,000 – 189,999 | 1200 | 1 | 1233 | 1233 | 1233 | 1233 |
| 165 | Charlotte | Fonda | Charlotte.Fonda@MOORHEN.EXAMPLE.COM | 05-FEB-56 | married | M | J: 190,000 – 249,999 | 1200 | 1 | 2519 | 2519 | 2519 | 2519 |
| 166 | Dheeraj | Alexander | Dheeraj.Alexander@NUTHATCH.EXAMPLE.COM | 14-FEB-50 | single | F | G: 130,000 – 149,999 | 1200 | 1 | 309 | 309 | 309 | 309 |
| 167 | Gerard | Hershey | Gerard.Hershey@PARULA.EXAMPLE.COM | 06-MAR-48 | married | M | D: 70,000 – 89,999 | 1200 | 1 | 48 | 48 | 48 | 48 |
| 169 | Dheeraj | Davis | Dheeraj.Davis@PIPIT.EXAMPLE.COM | 05-APR-81 | married | F | F: 110,000 – 129,999 | 1200 | 1 | 15760.5 | 15760.5 | 15760.5 | 15760.5 |
| 170 | Harry Dean | Fonda | HarryDean.Fonda@PLOVER.EXAMPLE.COM | 15-APR-88 | single | M | G: 130,000 – 149,999 | 1200 | 1 | 66816 | 66816 | 66816 | 66816 |
| 101 | Constantin | Welles | Constantin.Welles@ANHINGA.EXAMPLE.COM | 20-FEB-72 | married | M | B: 30,000 – 49,999 | 100 | 4 | 190395.1 | 47598.775 | 29669.9 | 78279.6 |
| 102 | Harrison | Pacino | Harrison.Pacino@ANI.EXAMPLE.COM | 02-MAR-53 | single | M | I: 170,000 – 189,999 | 100 | 4 | 69211.4 | 17302.85 | 5610.6 | 42283.2 |
| 103 | Manisha | Taylor | Manisha.Taylor@AUKLET.EXAMPLE.COM | 22-MAR-83 | married | F | H: 150,000 – 169,999 | 100 | 4 | 20591.4 | 5147.85 | 78 | 13550 |
| 104 | Harrison | Sutherland | Harrison.Sutherland@GODWIT.EXAMPLE.COM | 31-MAR-72 | single | F | H: 150,000 – 169,999 | 100 | 4 | 146605.5 | 36651.375 | 384 | 94513.5 |
| 105 | Matthias | MacGraw | Matthias.MacGraw@GOLDENEYE.EXAMPLE.COM | 21-APR-69 | married | F | C: 50,000 – 69,999 | 100 | 4 | 61376.5 | 15344.125 | 1926.6 | 29473.8 |
| 106 | Matthias | Hannah | Matthias.Hannah@GREBE.EXAMPLE.COM | 30-APR-60 | single | M | F: 110,000 – 129,999 | 100 | 4 | 36199.5 | 9049.875 | 2075.2 | 23034.6 |
| 107 | Matthias | Cruise | Matthias.Cruise@GROSBEAK.EXAMPLE.COM | 21-MAY-69 | married | F | G: 130,000 – 149,999 | 100 | 4 | 155613.2 | 38903.3 | 990.4 | 70576.9 |
| 108 | Meenakshi | Mason | Meenakshi.Mason@JACANA.EXAMPLE.COM | 20-JUN-57 | married | M | H: 150,000 – 169,999 | 100 | 4 | 213399.7 | 53349.925 | 3646 | 120131.3 |
| 109 | Christian | Cage | Christian.Cage@KINGLET.EXAMPLE.COM | 30-JUN-38 | single | M | F: 110,000 – 129,999 | 100 | 4 | 265255.6 | 66313.9 | 21863 | 92829.4 |
| 116 | Geraldine | Martin | Geraldine.Martin@SCOTER.EXAMPLE.COM | 28-OCT-27 | single | M | A: Below 30,000 | 200 | 4 | 32307 | 8076.75 | 129 | 14685.8 |
| 117 | Guillaume | Edwards | Guillaume.Edwards@SHRIKE.EXAMPLE.COM | 16-NOV-52 | married | M | E: 90,000 – 109,999 | 200 | 4 | 157808.7 | 39452.175 | 126 | 103679.3 |
| 118 | Maurice | Mahoney | Maurice.Mahoney@SNIPE.EXAMPLE.COM | 27-NOV-66 | single | M | F: 110,000 – 129,999 | 200 | 2 | 100991.8 | 50495.9 | 21586.2 | 79405.6 |
| 119 | Maurice | Hasan | Maurice.Hasan@STILT.EXAMPLE.COM | 17-DEC-65 | married | M | G: 130,000 – 149,999 | 200 | 1 | 16447.2 | 16447.2 | 16447.2 | 16447.2 |
| 120 | Diane | Higgins | Diane.Higgins@TANAGER.EXAMPLE.COM | 26-DEC-84 | single | M | H: 150,000 – 169,999 | 200 | 1 | 416 | 416 | 416 | 416 |
| 121 | Dianne | Sen | Dianne.Sen@TATTLER.EXAMPLE.COM | 15-JAN-53 | married | M | H: 150,000 – 169,999 | 200 | 1 | 4797 | 4797 | 4797 | 4797 |
| 122 | Maurice | Daltrey | Maurice.Daltrey@TEAL.EXAMPLE.COM | 15-FEB-43 | married | M | A: Below 30,000 | 200 | 1 | 103834.4 | 103834.4 | 103834.4 | 103834.4 |
| 141 | Maximilian | Henner | Maximilian.Henner@DUNLIN.EXAMPLE.COM | 21-DEC-73 | single | M | H: 150,000 – 169,999 | 500 | 1 | 38017.8 | 38017.8 | 38017.8 | 38017.8 |
| 143 | Sachin | Neeson | Sachin.Neeson@GALLINULE.EXAMPLE.COM | 20-JAN-62 | single | M | F: 110,000 – 129,999 | 500 | 1 | 27132.6 | 27132.6 | 27132.6 | 27132.6 |
| 123 | Elizabeth | Brown | Elizabeth.Brown@THRASHER.EXAMPLE.COM | 24-FEB-49 | single | F | F: 110,000 – 129,999 | 200 | 1 | 11006.2 | 11006.2 | 11006.2 | 11006.2 |
| 142 | Sachin | Spielberg | Sachin.Spielberg@GADWALL.EXAMPLE.COM | 11-JAN-71 | married | M | C: 50,000 – 69,999 | 500 | 1 | 25691.3 | 25691.3 | 25691.3 | 25691.3 |
| 163 | Ernest | Chandar | Ernest.Chandar@LIMPKIN.EXAMPLE.COM | 16-DEC-62 | single | M | H: 150,000 – 169,999 | 900 | 1 | 510 | 510 | 510 | 510 |
| 168 | Hema | Voight | Hema.Voight@PHALAROPE.EXAMPLE.COM | 16-MAR-50 | single | M | H: 150,000 – 169,999 | 1200 | 1 | 45175 | 45175 | 45175 | 45175 |
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_id | hire_date | benefits_eligible_date | ninety_day_review | one_year_anniversary | five_year_anniversary |
|---|---|---|---|---|---|
| 100 | 17-JUN-03 | 17-JUL-03 | 15-SEP-03 | 17-JUN-04 | 17-JUN-08 |
| 101 | 21-SEP-05 | 21-OCT-05 | 20-DEC-05 | 21-SEP-06 | 21-SEP-10 |
| 102 | 13-JAN-01 | 12-FEB-01 | 13-APR-01 | 13-JAN-02 | 13-JAN-06 |
| 103 | 03-JAN-06 | 02-FEB-06 | 03-APR-06 | 03-JAN-07 | 03-JAN-11 |
| 104 | 21-MAY-07 | 20-JUN-07 | 19-AUG-07 | 21-MAY-08 | 21-MAY-12 |
| 105 | 25-JUN-05 | 25-JUL-05 | 23-SEP-05 | 25-JUN-06 | 25-JUN-10 |
| 106 | 05-FEB-06 | 07-MAR-06 | 06-MAY-06 | 05-FEB-07 | 05-FEB-11 |
| 107 | 07-FEB-07 | 09-MAR-07 | 08-MAY-07 | 07-FEB-08 | 07-FEB-12 |
| 108 | 17-AUG-02 | 16-SEP-02 | 15-NOV-02 | 17-AUG-03 | 17-AUG-07 |
| 109 | 16-AUG-02 | 15-SEP-02 | 14-NOV-02 | 16-AUG-03 | 16-AUG-07 |
| 110 | 28-SEP-05 | 28-OCT-05 | 27-DEC-05 | 28-SEP-06 | 28-SEP-10 |
| 111 | 30-SEP-05 | 30-OCT-05 | 29-DEC-05 | 30-SEP-06 | 30-SEP-10 |
| 112 | 07-MAR-06 | 06-APR-06 | 05-JUN-06 | 07-MAR-07 | 07-MAR-11 |
| 113 | 07-DEC-07 | 06-JAN-08 | 06-MAR-08 | 07-DEC-08 | 07-DEC-12 |
| 114 | 07-DEC-02 | 06-JAN-03 | 07-MAR-03 | 07-DEC-03 | 07-DEC-07 |
| 115 | 18-MAY-03 | 17-JUN-03 | 16-AUG-03 | 18-MAY-04 | 18-MAY-08 |
| 116 | 24-DEC-05 | 23-JAN-06 | 24-MAR-06 | 24-DEC-06 | 24-DEC-10 |
| 117 | 24-JUL-05 | 23-AUG-05 | 22-OCT-05 | 24-JUL-06 | 24-JUL-10 |
| 118 | 15-NOV-06 | 15-DEC-06 | 13-FEB-07 | 15-NOV-07 | 15-NOV-11 |
| 119 | 10-AUG-07 | 09-SEP-07 | 08-NOV-07 | 10-AUG-08 | 10-AUG-12 |
| 120 | 18-JUL-04 | 17-AUG-04 | 16-OCT-04 | 18-JUL-05 | 18-JUL-09 |
| 121 | 10-APR-05 | 10-MAY-05 | 09-JUL-05 | 10-APR-06 | 10-APR-10 |
| 122 | 01-MAY-03 | 31-MAY-03 | 30-JUL-03 | 01-MAY-04 | 01-MAY-08 |
| 123 | 10-OCT-05 | 09-NOV-05 | 08-JAN-06 | 10-OCT-06 | 10-OCT-10 |
| 124 | 16-NOV-07 | 16-DEC-07 | 14-FEB-08 | 16-NOV-08 | 16-NOV-12 |
| 125 | 16-JUL-05 | 15-AUG-05 | 14-OCT-05 | 16-JUL-06 | 16-JUL-10 |
| 126 | 28-SEP-06 | 28-OCT-06 | 27-DEC-06 | 28-SEP-07 | 28-SEP-11 |
| 127 | 14-JAN-07 | 13-FEB-07 | 14-APR-07 | 14-JAN-08 | 14-JAN-12 |
| 128 | 08-MAR-08 | 07-APR-08 | 06-JUN-08 | 08-MAR-09 | 08-MAR-13 |
| 129 | 20-AUG-05 | 19-SEP-05 | 18-NOV-05 | 20-AUG-06 | 20-AUG-10 |
| 130 | 30-OCT-05 | 29-NOV-05 | 28-JAN-06 | 30-OCT-06 | 30-OCT-10 |
| 131 | 16-FEB-05 | 18-MAR-05 | 17-MAY-05 | 16-FEB-06 | 16-FEB-10 |
| 132 | 10-APR-07 | 10-MAY-07 | 09-JUL-07 | 10-APR-08 | 10-APR-12 |
| 133 | 14-JUN-04 | 14-JUL-04 | 12-SEP-04 | 14-JUN-05 | 14-JUN-09 |
| 134 | 26-AUG-06 | 25-SEP-06 | 24-NOV-06 | 26-AUG-07 | 26-AUG-11 |
| 135 | 12-DEC-07 | 11-JAN-08 | 11-MAR-08 | 12-DEC-08 | 12-DEC-12 |
| 136 | 06-FEB-08 | 07-MAR-08 | 06-MAY-08 | 06-FEB-09 | 06-FEB-13 |
| 137 | 14-JUL-03 | 13-AUG-03 | 12-OCT-03 | 14-JUL-04 | 14-JUL-08 |
| 138 | 26-OCT-05 | 25-NOV-05 | 24-JAN-06 | 26-OCT-06 | 26-OCT-10 |
| 139 | 12-FEB-06 | 14-MAR-06 | 13-MAY-06 | 12-FEB-07 | 12-FEB-11 |
| 140 | 06-APR-06 | 06-MAY-06 | 05-JUL-06 | 06-APR-07 | 06-APR-11 |
| 141 | 17-OCT-03 | 16-NOV-03 | 15-JAN-04 | 17-OCT-04 | 17-OCT-08 |
| 142 | 29-JAN-05 | 28-FEB-05 | 29-APR-05 | 29-JAN-06 | 29-JAN-10 |
| 143 | 15-MAR-06 | 14-APR-06 | 13-JUN-06 | 15-MAR-07 | 15-MAR-11 |
| 144 | 09-JUL-06 | 08-AUG-06 | 07-OCT-06 | 09-JUL-07 | 09-JUL-11 |
| 145 | 01-OCT-04 | 31-OCT-04 | 30-DEC-04 | 01-OCT-05 | 01-OCT-09 |
| 146 | 05-JAN-05 | 04-FEB-05 | 05-APR-05 | 05-JAN-06 | 05-JAN-10 |
| 147 | 10-MAR-05 | 09-APR-05 | 08-JUN-05 | 10-MAR-06 | 10-MAR-10 |
| 148 | 15-OCT-07 | 14-NOV-07 | 13-JAN-08 | 15-OCT-08 | 15-OCT-12 |
| 149 | 29-JAN-08 | 28-FEB-08 | 28-APR-08 | 29-JAN-09 | 29-JAN-13 |
| 150 | 30-JAN-05 | 01-MAR-05 | 30-APR-05 | 30-JAN-06 | 30-JAN-10 |
| 151 | 24-MAR-05 | 23-APR-05 | 22-JUN-05 | 24-MAR-06 | 24-MAR-10 |
| 152 | 20-AUG-05 | 19-SEP-05 | 18-NOV-05 | 20-AUG-06 | 20-AUG-10 |
| 153 | 30-MAR-06 | 29-APR-06 | 28-JUN-06 | 30-MAR-07 | 30-MAR-11 |
| 154 | 09-DEC-06 | 08-JAN-07 | 09-MAR-07 | 09-DEC-07 | 09-DEC-11 |
| 155 | 23-NOV-07 | 23-DEC-07 | 21-FEB-08 | 23-NOV-08 | 23-NOV-12 |
| 156 | 30-JAN-04 | 29-FEB-04 | 29-APR-04 | 30-JAN-05 | 30-JAN-09 |
| 157 | 04-MAR-04 | 03-APR-04 | 02-JUN-04 | 04-MAR-05 | 04-MAR-09 |
| 158 | 01-AUG-04 | 31-AUG-04 | 30-OCT-04 | 01-AUG-05 | 01-AUG-09 |
| 159 | 10-MAR-05 | 09-APR-05 | 08-JUN-05 | 10-MAR-06 | 10-MAR-10 |
| 160 | 15-DEC-05 | 14-JAN-06 | 15-MAR-06 | 15-DEC-06 | 15-DEC-10 |
| 161 | 03-NOV-06 | 03-DEC-06 | 01-FEB-07 | 03-NOV-07 | 03-NOV-11 |
| 162 | 11-NOV-05 | 11-DEC-05 | 09-FEB-06 | 11-NOV-06 | 11-NOV-10 |
| 163 | 19-MAR-07 | 18-APR-07 | 17-JUN-07 | 19-MAR-08 | 19-MAR-12 |
| 164 | 24-JAN-08 | 23-FEB-08 | 23-APR-08 | 24-JAN-09 | 24-JAN-13 |
| 165 | 23-FEB-08 | 24-MAR-08 | 23-MAY-08 | 23-FEB-09 | 23-FEB-13 |
| 166 | 24-MAR-08 | 23-APR-08 | 22-JUN-08 | 24-MAR-09 | 24-MAR-13 |
| 167 | 21-APR-08 | 21-MAY-08 | 20-JUL-08 | 21-APR-09 | 21-APR-13 |
| 168 | 11-MAR-05 | 10-APR-05 | 09-JUN-05 | 11-MAR-06 | 11-MAR-10 |
| 169 | 23-MAR-06 | 22-APR-06 | 21-JUN-06 | 23-MAR-07 | 23-MAR-11 |
| 170 | 24-JAN-06 | 23-FEB-06 | 24-APR-06 | 24-JAN-07 | 24-JAN-11 |
| 171 | 23-FEB-07 | 25-MAR-07 | 24-MAY-07 | 23-FEB-08 | 23-FEB-12 |
| 172 | 24-MAR-07 | 23-APR-07 | 22-JUN-07 | 24-MAR-08 | 24-MAR-12 |
| 173 | 21-APR-08 | 21-MAY-08 | 20-JUL-08 | 21-APR-09 | 21-APR-13 |
| 174 | 11-MAY-04 | 10-JUN-04 | 09-AUG-04 | 11-MAY-05 | 11-MAY-09 |
| 175 | 19-MAR-05 | 18-APR-05 | 17-JUN-05 | 19-MAR-06 | 19-MAR-10 |
| 176 | 24-MAR-06 | 23-APR-06 | 22-JUN-06 | 24-MAR-07 | 24-MAR-11 |
| 177 | 23-APR-06 | 23-MAY-06 | 22-JUL-06 | 23-APR-07 | 23-APR-11 |
| 178 | 24-MAY-07 | 23-JUN-07 | 22-AUG-07 | 24-MAY-08 | 24-MAY-12 |
| 179 | 04-JAN-08 | 03-FEB-08 | 03-APR-08 | 04-JAN-09 | 04-JAN-13 |
| 180 | 24-JAN-06 | 23-FEB-06 | 24-APR-06 | 24-JAN-07 | 24-JAN-11 |
| 181 | 23-FEB-06 | 25-MAR-06 | 24-MAY-06 | 23-FEB-07 | 23-FEB-11 |
| 182 | 21-JUN-07 | 21-JUL-07 | 19-SEP-07 | 21-JUN-08 | 21-JUN-12 |
| 183 | 03-FEB-08 | 04-MAR-08 | 03-MAY-08 | 03-FEB-09 | 03-FEB-13 |
| 184 | 27-JAN-04 | 26-FEB-04 | 26-APR-04 | 27-JAN-05 | 27-JAN-09 |
| 185 | 20-FEB-05 | 22-MAR-05 | 21-MAY-05 | 20-FEB-06 | 20-FEB-10 |
| 186 | 24-JUN-06 | 24-JUL-06 | 22-SEP-06 | 24-JUN-07 | 24-JUN-11 |
| 187 | 07-FEB-07 | 09-MAR-07 | 08-MAY-07 | 07-FEB-08 | 07-FEB-12 |
| 188 | 14-JUN-05 | 14-JUL-05 | 12-SEP-05 | 14-JUN-06 | 14-JUN-10 |
| 189 | 13-AUG-05 | 12-SEP-05 | 11-NOV-05 | 13-AUG-06 | 13-AUG-10 |
| 190 | 11-JUL-06 | 10-AUG-06 | 09-OCT-06 | 11-JUL-07 | 11-JUL-11 |
| 191 | 19-DEC-07 | 18-JAN-08 | 18-MAR-08 | 19-DEC-08 | 19-DEC-12 |
| 192 | 04-FEB-04 | 05-MAR-04 | 04-MAY-04 | 04-FEB-05 | 04-FEB-09 |
| 193 | 03-MAR-05 | 02-APR-05 | 01-JUN-05 | 03-MAR-06 | 03-MAR-10 |
| 194 | 01-JUL-06 | 31-JUL-06 | 29-SEP-06 | 01-JUL-07 | 01-JUL-11 |
| 195 | 17-MAR-07 | 16-APR-07 | 15-JUN-07 | 17-MAR-08 | 17-MAR-12 |
| 196 | 24-APR-06 | 24-MAY-06 | 23-JUL-06 | 24-APR-07 | 24-APR-11 |
| 197 | 23-MAY-06 | 22-JUN-06 | 21-AUG-06 | 23-MAY-07 | 23-MAY-11 |
| 198 | 21-JUN-07 | 21-JUL-07 | 19-SEP-07 | 21-JUN-08 | 21-JUN-12 |
| 199 | 13-JAN-08 | 12-FEB-08 | 12-APR-08 | 13-JAN-09 | 13-JAN-13 |
| 200 | 17-SEP-03 | 17-OCT-03 | 16-DEC-03 | 17-SEP-04 | 17-SEP-08 |
| 201 | 17-FEB-04 | 18-MAR-04 | 17-MAY-04 | 17-FEB-05 | 17-FEB-09 |
| 202 | 17-AUG-05 | 16-SEP-05 | 15-NOV-05 | 17-AUG-06 | 17-AUG-10 |
| 203 | 07-JUN-02 | 07-JUL-02 | 05-SEP-02 | 07-JUN-03 | 07-JUN-07 |
| 204 | 07-JUN-02 | 07-JUL-02 | 05-SEP-02 | 07-JUN-03 | 07-JUN-07 |
| 205 | 07-JUN-02 | 07-JUL-02 | 05-SEP-02 | 07-JUN-03 | 07-JUN-07 |
| 206 | 07-JUN-02 | 07-JUL-02 | 05-SEP-02 | 07-JUN-03 | 07-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_id | cust_first_name | cust_last_name | order_id | order_date |
|---|---|---|---|---|
| 144 | Sivaji | Landis | 2435 | 02-SEP-07 11.22.53.134567 PM |
| 144 | Sivaji | Landis | 2363 | 23-OCT-07 05.49.56.346122 PM |
| 144 | Sivaji | Landis | 2382 | 14-MAY-08 10.19.03.828321 AM |
| 144 | Sivaji | Landis | 2422 | 16-DEC-07 08.19.55.462332 PM |
| 144 | Sivaji | Landis | 2445 | 27-JUL-06 03.34.38.362632 PM |
| 145 | Mammutti | Pacino | 2455 | 20-SEP-07 11.34.11.456789 AM |
| 145 | Mammutti | Pacino | 2364 | 28-AUG-07 06.18.45.942399 PM |
| 145 | Mammutti | Pacino | 2383 | 12-MAY-08 11.22.30.545103 AM |
| 145 | Mammutti | Pacino | 2423 | 21-NOV-07 10.22.33.362632 AM |
| 145 | Mammutti | Pacino | 2448 | 18-JUN-07 04.41.49.262632 PM |
| 146 | Elia | Fawcett | 2379 | 16-MAY-07 02.22.24.234567 AM |
| 146 | Elia | Fawcett | 2365 | 28-AUG-07 07.03.34.003399 PM |
| 146 | Elia | Fawcett | 2384 | 12-MAY-08 12.22.34.525972 PM |
| 146 | Elia | Fawcett | 2424 | 21-NOV-07 10.22.33.263332 AM |
| 146 | Elia | Fawcett | 2449 | 13-JUN-07 05.49.07.162632 PM |
| 147 | Ishwarya | Roberts | 2396 | 02-FEB-06 01.34.56.345678 AM |
| 147 | Ishwarya | Roberts | 2366 | 28-AUG-07 08.59.23.144778 PM |
| 147 | Ishwarya | Roberts | 2385 | 08-DEC-07 11.34.11.331392 AM |
| 147 | Ishwarya | Roberts | 2425 | 16-NOV-06 11.34.22.162552 PM |
| 147 | Ishwarya | Roberts | 2450 | 11-APR-07 06.18.10.362632 PM |
| 148 | Gustav | Steenburgen | 2406 | 29-JUN-07 04.41.20.098765 AM |
| 148 | Gustav | Steenburgen | 2367 | 27-JUN-08 09.53.32.335522 PM |
| 148 | Gustav | Steenburgen | 2386 | 06-DEC-07 12.22.34.225609 PM |
| 148 | Gustav | Steenburgen | 2426 | 17-NOV-06 12.22.11.262552 AM |
| 148 | Gustav | Steenburgen | 2451 | 17-DEC-07 05.03.52.562632 PM |
| 149 | Markus | Rampling | 2434 | 13-SEP-07 05.49.30.647893 AM |
| 149 | Markus | Rampling | 2368 | 26-JUN-08 10.19.43.190089 PM |
| 149 | Markus | Rampling | 2387 | 11-MAR-07 03.34.56.536966 PM |
| 149 | Markus | Rampling | 2427 | 10-NOV-07 01.34.22.362124 AM |
| 149 | Markus | Rampling | 2452 | 06-OCT-07 08.59.43.462632 PM |
| 150 | Goldie | Slater | 2388 | 04-JUN-07 04.41.12.554435 PM |
| 151 | Divine | Aykroyd | 2389 | 04-JUN-08 05.49.43.546954 PM |
| 152 | Dieter | Matthau | 2390 | 18-NOV-07 04.18.50.546851 PM |
| 153 | Divine | Sheen | 2391 | 27-FEB-06 05.03.03.828330 PM |
| 154 | Frederic | Grodin | 2392 | 21-JUL-07 08.59.57.571057 PM |
| 155 | Frederico | Romero | 2393 | 10-FEB-08 07.53.19.528202 PM |
| 156 | Goldie | Montand | 2395 | 02-FEB-06 08.19.11.227550 PM |
| 157 | Sidney | Capshaw | 2398 | 19-NOV-07 09.22.53.224175 PM |
| 158 | Frederico | Lyon | 2399 | 19-NOV-07 10.22.38.340990 PM |
| 159 | Eddie | Boyer | 2400 | 10-JUL-07 01.34.29.559387 AM |
| 160 | Eddie | Stern | 2401 | 10-JUL-07 02.22.53.554822 AM |
| 161 | Ernest | Weaver | 2402 | 02-JUL-07 03.34.44.665170 AM |
| 162 | Ernest | George | 2403 | 01-JUL-07 04.49.13.615512 PM |
| 164 | Charlotte | Kazan | 2405 | 01-JUL-07 04.49.13.678123 PM |
| 165 | Charlotte | Fonda | 2407 | 29-JUN-07 07.03.21.526005 AM |
| 166 | Dheeraj | Alexander | 2408 | 29-JUN-07 08.59.31.333617 AM |
| 167 | Gerard | Hershey | 2409 | 29-JUN-07 09.53.41.984501 AM |
| 169 | Dheeraj | Davis | 2411 | 24-MAY-07 11.22.10.548639 AM |
| 170 | Harry Dean | Fonda | 2412 | 29-MAR-06 10.22.09.509801 AM |
| 101 | Constantin | Welles | 2458 | 16-AUG-07 03.34.12.234359 PM |
| 101 | Constantin | Welles | 2447 | 27-JUL-08 08.59.10.223344 AM |
| 101 | Constantin | Welles | 2413 | 29-MAR-08 01.34.04.525934 PM |
| 101 | Constantin | Welles | 2430 | 02-OCT-07 06.18.36.663332 AM |
| 102 | Harrison | Pacino | 2397 | 19-NOV-07 02.41.54.696211 PM |
| 102 | Harrison | Pacino | 2432 | 14-SEP-07 09.53.40.223345 AM |
| 102 | Harrison | Pacino | 2414 | 29-MAR-07 02.22.40.536996 PM |
| 102 | Harrison | Pacino | 2431 | 14-SEP-06 07.03.04.763452 AM |
| 103 | Manisha | Taylor | 2454 | 02-OCT-07 05.49.34.678340 PM |
| 103 | Manisha | Taylor | 2433 | 13-SEP-07 10.19.00.654279 AM |
| 103 | Manisha | Taylor | 2415 | 29-MAR-06 01.34.50.545196 PM |
| 103 | Manisha | Taylor | 2437 | 01-SEP-06 08.59.15.826132 AM |
| 104 | Harrison | Sutherland | 2354 | 14-JUL-08 06.18.23.234567 PM |
| 104 | Harrison | Sutherland | 2355 | 26-JAN-06 09.22.51.962632 AM |
| 104 | Harrison | Sutherland | 2416 | 29-MAR-07 04.41.20.945676 PM |
| 104 | Harrison | Sutherland | 2438 | 01-SEP-07 09.53.26.934626 AM |
| 105 | Matthias | MacGraw | 2358 | 08-JAN-08 05.03.12.654278 PM |
| 105 | Matthias | MacGraw | 2356 | 26-JAN-08 09.22.41.934562 AM |
| 105 | Matthias | MacGraw | 2417 | 20-MAR-07 05.49.10.974352 PM |
| 105 | Matthias | MacGraw | 2439 | 31-AUG-07 10.19.37.811132 AM |
| 106 | Matthias | Hannah | 2381 | 14-MAY-08 08.59.08.843679 PM |
| 106 | Matthias | Hannah | 2359 | 08-JAN-06 09.34.13.112233 PM |
| 106 | Matthias | Hannah | 2418 | 20-MAR-04 04.18.21.862632 PM |
| 106 | Matthias | Hannah | 2441 | 01-AUG-08 11.22.48.734526 AM |
| 107 | Matthias | Cruise | 2440 | 31-AUG-07 09.53.06.008765 PM |
| 107 | Matthias | Cruise | 2360 | 14-NOV-07 12.22.31.223344 PM |
| 107 | Matthias | Cruise | 2419 | 20-MAR-07 07.03.32.764632 PM |
| 107 | Matthias | Cruise | 2442 | 27-JUL-06 12.22.59.662632 PM |
| 108 | Meenakshi | Mason | 2357 | 08-JAN-06 08.19.44.123456 PM |
| 108 | Meenakshi | Mason | 2361 | 13-NOV-07 01.34.21.986210 PM |
| 108 | Meenakshi | Mason | 2420 | 13-MAR-07 08.59.43.666320 PM |
| 108 | Meenakshi | Mason | 2443 | 27-JUL-06 01.34.16.562632 PM |
| 109 | Christian | Cage | 2394 | 10-FEB-08 09.22.35.564789 PM |
| 109 | Christian | Cage | 2362 | 13-NOV-07 02.41.10.619477 PM |
| 109 | Christian | Cage | 2421 | 12-MAR-07 09.53.54.562432 PM |
| 109 | Christian | Cage | 2444 | 27-JUL-07 02.22.27.462632 PM |
| 116 | Geraldine | Martin | 2436 | 02-SEP-07 06.18.04.378034 AM |
| 116 | Geraldine | Martin | 2369 | 26-JUN-07 11.22.54.009932 PM |
| 116 | Geraldine | Martin | 2428 | 10-NOV-07 02.41.34.463567 AM |
| 116 | Geraldine | Martin | 2453 | 04-OCT-07 09.53.34.362632 PM |
| 117 | Guillaume | Edwards | 2446 | 27-JUL-07 07.03.08.302945 AM |
| 117 | Guillaume | Edwards | 2370 | 27-JUN-08 12.22.11.647398 AM |
| 117 | Guillaume | Edwards | 2429 | 10-NOV-07 03.49.25.526321 AM |
| 117 | Guillaume | Edwards | 2456 | 07-NOV-06 07.53.25.989889 PM |
| 118 | Maurice | Mahoney | 2371 | 16-MAY-07 01.34.56.113356 AM |
| 118 | Maurice | Mahoney | 2457 | 31-OCT-07 11.22.16.162632 PM |
| 119 | Maurice | Hasan | 2372 | 27-FEB-07 12.22.33.356789 AM |
| 120 | Diane | Higgins | 2373 | 27-FEB-08 01.34.51.220065 AM |
| 121 | Dianne | Sen | 2374 | 27-FEB-08 02.41.45.109654 AM |
| 122 | Maurice | Daltrey | 2375 | 26-FEB-07 03.49.50.459233 AM |
| 141 | Maximilian | Henner | 2377 | 07-JUN-07 07.03.01.001100 AM |
| 143 | Sachin | Neeson | 2380 | 16-MAY-07 09.53.02.909090 AM |
| 123 | Elizabeth | Brown | 2376 | 07-JUN-07 06.18.08.883310 AM |
| 142 | Sachin | Spielberg | 2378 | 24-MAY-07 08.59.10.010101 AM |
| 163 | Ernest | Chandar | 2404 | 01-JUL-07 04.49.13.664085 PM |
| 168 | Hema | Voight | 2410 | 24-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.