SQL Exercises: Employees whose job title is MK_MAN, exclude MK_MAN
SQL SUBQUERY: Exercise-18 with Solution
From the following table, write a SQL query to find those employees whose salary is lower than that of employees whose job title is "MK_MAN". Exclude employees of Job title ‘MK_MAN’. Return employee ID, first name, last name, job ID.
Sample table: employees+-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+ | EMPLOYEE_ID | FIRST_NAME | LAST_NAME | EMAIL | PHONE_NUMBER | HIRE_DATE | JOB_ID | SALARY | COMMISSION_PCT | MANAGER_ID | DEPARTMENT_ID | +-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+ | 100 | Steven | King | SKING | 515.123.4567 | 2003-06-17 | AD_PRES | 24000.00 | 0.00 | 0 | 90 | | 101 | Neena | Kochhar | NKOCHHAR | 515.123.4568 | 2005-09-21 | AD_VP | 17000.00 | 0.00 | 100 | 90 | | 102 | Lex | De Haan | LDEHAAN | 515.123.4569 | 2001-01-13 | AD_VP | 17000.00 | 0.00 | 100 | 90 | | 103 | Alexander | Hunold | AHUNOLD | 590.423.4567 | 2006-01-03 | IT_PROG | 9000.00 | 0.00 | 102 | 60 | | 104 | Bruce | Ernst | BERNST | 590.423.4568 | 2007-05-21 | IT_PROG | 6000.00 | 0.00 | 103 | 60 | | 105 | David | Austin | DAUSTIN | 590.423.4569 | 2005-06-25 | IT_PROG | 4800.00 | 0.00 | 103 | 60 | | 106 | Valli | Pataballa | VPATABAL | 590.423.4560 | 2006-02-05 | IT_PROG | 4800.00 | 0.00 | 103 | 60 | | 107 | Diana | Lorentz | DLORENTZ | 590.423.5567 | 2007-02-07 | IT_PROG | 4200.00 | 0.00 | 103 | 60 | | 108 | Nancy | Greenberg | NGREENBE | 515.124.4569 | 2002-08-17 | FI_MGR | 12008.00 | 0.00 | 101 | 100 | | 109 | Daniel | Faviet | DFAVIET | 515.124.4169 | 2002-08-16 | FI_ACCOUNT | 9000.00 | 0.00 | 108 | 100 | | 110 | John | Chen | JCHEN | 515.124.4269 | 2005-09-28 | FI_ACCOUNT | 8200.00 | 0.00 | 108 | 100 | | 111 | Ismael | Sciarra | ISCIARRA | 515.124.4369 | 2005-09-30 | FI_ACCOUNT | 7700.00 | 0.00 | 108 | 100 | | 112 | Jose Manuel | Urman | JMURMAN | 515.124.4469 | 2006-03-07 | FI_ACCOUNT | 7800.00 | 0.00 | 108 | 100 | | 113 | Luis | Popp | LPOPP | 515.124.4567 | 2007-12-07 | FI_ACCOUNT | 6900.00 | 0.00 | 108 | 100 | | 114 | Den | Raphaely | DRAPHEAL | 515.127.4561 | 2002-12-07 | PU_MAN | 11000.00 | 0.00 | 100 | 30 | | 115 | Alexander | Khoo | AKHOO | 515.127.4562 | 2003-05-18 | PU_CLERK | 3100.00 | 0.00 | 114 | 30 | | 116 | Shelli | Baida | SBAIDA | 515.127.4563 | 2005-12-24 | PU_CLERK | 2900.00 | 0.00 | 114 | 30 | | 117 | Sigal | Tobias | STOBIAS | 515.127.4564 | 2005-07-24 | PU_CLERK | 2800.00 | 0.00 | 114 | 30 | | 118 | Guy | Himuro | GHIMURO | 515.127.4565 | 2006-11-15 | PU_CLERK | 2600.00 | 0.00 | 114 | 30 | | 119 | Karen | Colmenares | KCOLMENA | 515.127.4566 | 2007-08-10 | PU_CLERK | 2500.00 | 0.00 | 114 | 30 | | 120 | Matthew | Weiss | MWEISS | 650.123.1234 | 2004-07-18 | ST_MAN | 8000.00 | 0.00 | 100 | 50 | | 121 | Adam | Fripp | AFRIPP | 650.123.2234 | 2005-04-10 | ST_MAN | 8200.00 | 0.00 | 100 | 50 | | 122 | Payam | Kaufling | PKAUFLIN | 650.123.3234 | 2003-05-01 | ST_MAN | 7900.00 | 0.00 | 100 | 50 | | 123 | Shanta | Vollman | SVOLLMAN | 650.123.4234 | 2005-10-10 | ST_MAN | 6500.00 | 0.00 | 100 | 50 | | 124 | Kevin | Mourgos | KMOURGOS | 650.123.5234 | 2007-11-16 | ST_MAN | 5800.00 | 0.00 | 100 | 50 | | 125 | Julia | Nayer | JNAYER | 650.124.1214 | 2005-07-16 | ST_CLERK | 3200.00 | 0.00 | 120 | 50 | | 126 | Irene | Mikkilineni | IMIKKILI | 650.124.1224 | 2006-09-28 | ST_CLERK | 2700.00 | 0.00 | 120 | 50 | | 127 | James | Landry | JLANDRY | 650.124.1334 | 2007-01-14 | ST_CLERK | 2400.00 | 0.00 | 120 | 50 | | 128 | Steven | Markle | SMARKLE | 650.124.1434 | 2008-03-08 | ST_CLERK | 2200.00 | 0.00 | 120 | 50 | | 129 | Laura | Bissot | LBISSOT | 650.124.5234 | 2005-08-20 | ST_CLERK | 3300.00 | 0.00 | 121 | 50 | | 130 | Mozhe | Atkinson | MATKINSO | 650.124.6234 | 2005-10-30 | ST_CLERK | 2800.00 | 0.00 | 121 | 50 | | 131 | James | Marlow | JAMRLOW | 650.124.7234 | 2005-02-16 | ST_CLERK | 2500.00 | 0.00 | 121 | 50 | | 132 | TJ | Olson | TJOLSON | 650.124.8234 | 2007-04-10 | ST_CLERK | 2100.00 | 0.00 | 121 | 50 | | 133 | Jason | Mallin | JMALLIN | 650.127.1934 | 2004-06-14 | ST_CLERK | 3300.00 | 0.00 | 122 | 50 | | 134 | Michael | Rogers | MROGERS | 650.127.1834 | 2006-08-26 | ST_CLERK | 2900.00 | 0.00 | 122 | 50 | | 135 | Ki | Gee | KGEE | 650.127.1734 | 2007-12-12 | ST_CLERK | 2400.00 | 0.00 | 122 | 50 | | 136 | Hazel | Philtanker | HPHILTAN | 650.127.1634 | 2008-02-06 | ST_CLERK | 2200.00 | 0.00 | 122 | 50 | | 137 | Renske | Ladwig | RLADWIG | 650.121.1234 | 2003-07-14 | ST_CLERK | 3600.00 | 0.00 | 123 | 50 | | 138 | Stephen | Stiles | SSTILES | 650.121.2034 | 2005-10-26 | ST_CLERK | 3200.00 | 0.00 | 123 | 50 | | 139 | John | Seo | JSEO | 650.121.2019 | 2006-02-12 | ST_CLERK | 2700.00 | 0.00 | 123 | 50 | | 140 | Joshua | Patel | JPATEL | 650.121.1834 | 2006-04-06 | ST_CLERK | 2500.00 | 0.00 | 123 | 50 | | 141 | Trenna | Rajs | TRAJS | 650.121.8009 | 2003-10-17 | ST_CLERK | 3500.00 | 0.00 | 124 | 50 | | 142 | Curtis | Davies | CDAVIES | 650.121.2994 | 2005-01-29 | ST_CLERK | 3100.00 | 0.00 | 124 | 50 | | 143 | Randall | Matos | RMATOS | 650.121.2874 | 2006-03-15 | ST_CLERK | 2600.00 | 0.00 | 124 | 50 | | 144 | Peter | Vargas | PVARGAS | 650.121.2004 | 2006-07-09 | ST_CLERK | 2500.00 | 0.00 | 124 | 50 | | 145 | John | Russell | JRUSSEL | 011.44.1344.429268 | 2004-10-01 | SA_MAN | 14000.00 | 0.40 | 100 | 80 | | 146 | Karen | Partners | KPARTNER | 011.44.1344.467268 | 2005-01-05 | SA_MAN | 13500.00 | 0.30 | 100 | 80 | | 147 | Alberto | Errazuriz | AERRAZUR | 011.44.1344.429278 | 2005-03-10 | SA_MAN | 12000.00 | 0.30 | 100 | 80 | | 148 | Gerald | Cambrault | GCAMBRAU | 011.44.1344.619268 | 2007-10-15 | SA_MAN | 11000.00 | 0.30 | 100 | 80 | | 149 | Eleni | Zlotkey | EZLOTKEY | 011.44.1344.429018 | 2008-01-29 | SA_MAN | 10500.00 | 0.20 | 100 | 80 | | 150 | Peter | Tucker | PTUCKER | 011.44.1344.129268 | 2005-01-30 | SA_REP | 10000.00 | 0.30 | 145 | 80 | | 151 | David | Bernstein | DBERNSTE | 011.44.1344.345268 | 2005-03-24 | SA_REP | 9500.00 | 0.25 | 145 | 80 | | 152 | Peter | Hall | PHALL | 011.44.1344.478968 | 2005-08-20 | SA_REP | 9000.00 | 0.25 | 145 | 80 | | 153 | Christopher | Olsen | COLSEN | 011.44.1344.498718 | 2006-03-30 | SA_REP | 8000.00 | 0.20 | 145 | 80 | | 154 | Nanette | Cambrault | NCAMBRAU | 011.44.1344.987668 | 2006-12-09 | SA_REP | 7500.00 | 0.20 | 145 | 80 | | 155 | Oliver | Tuvault | OTUVAULT | 011.44.1344.486508 | 2007-11-23 | SA_REP | 7000.00 | 0.15 | 145 | 80 | | 156 | Janette | King | JKING | 011.44.1345.429268 | 2004-01-30 | SA_REP | 10000.00 | 0.35 | 146 | 80 | | 157 | Patrick | Sully | PSULLY | 011.44.1345.929268 | 2004-03-04 | SA_REP | 9500.00 | 0.35 | 146 | 80 | | 158 | Allan | McEwen | AMCEWEN | 011.44.1345.829268 | 2004-08-01 | SA_REP | 9000.00 | 0.35 | 146 | 80 | | 159 | Lindsey | Smith | LSMITH | 011.44.1345.729268 | 2005-03-10 | SA_REP | 8000.00 | 0.30 | 146 | 80 | | 160 | Louise | Doran | LDORAN | 011.44.1345.629268 | 2005-12-15 | SA_REP | 7500.00 | 0.30 | 146 | 80 | | 161 | Sarath | Sewall | SSEWALL | 011.44.1345.529268 | 2006-11-03 | SA_REP | 7000.00 | 0.25 | 146 | 80 | | 162 | Clara | Vishney | CVISHNEY | 011.44.1346.129268 | 2005-11-11 | SA_REP | 10500.00 | 0.25 | 147 | 80 | | 163 | Danielle | Greene | DGREENE | 011.44.1346.229268 | 2007-03-19 | SA_REP | 9500.00 | 0.15 | 147 | 80 | | 164 | Mattea | Marvins | MMARVINS | 011.44.1346.329268 | 2008-01-24 | SA_REP | 7200.00 | 0.10 | 147 | 80 | | 165 | David | Lee | DLEE | 011.44.1346.529268 | 2008-02-23 | SA_REP | 6800.00 | 0.10 | 147 | 80 | | 166 | Sundar | Ande | SANDE | 011.44.1346.629268 | 2008-03-24 | SA_REP | 6400.00 | 0.10 | 147 | 80 | | 167 | Amit | Banda | ABANDA | 011.44.1346.729268 | 2008-04-21 | SA_REP | 6200.00 | 0.10 | 147 | 80 | | 168 | Lisa | Ozer | LOZER | 011.44.1343.929268 | 2005-03-11 | SA_REP | 11500.00 | 0.25 | 148 | 80 | | 169 | Harrison | Bloom | HBLOOM | 011.44.1343.829268 | 2006-03-23 | SA_REP | 10000.00 | 0.20 | 148 | 80 | | 170 | Tayler | Fox | TFOX | 011.44.1343.729268 | 2006-01-24 | SA_REP | 9600.00 | 0.20 | 148 | 80 | | 171 | William | Smith | WSMITH | 011.44.1343.629268 | 2007-02-23 | SA_REP | 7400.00 | 0.15 | 148 | 80 | | 172 | Elizabeth | Bates | EBATES | 011.44.1343.529268 | 2007-03-24 | SA_REP | 7300.00 | 0.15 | 148 | 80 | | 173 | Sundita | Kumar | SKUMAR | 011.44.1343.329268 | 2008-04-21 | SA_REP | 6100.00 | 0.10 | 148 | 80 | | 174 | Ellen | Abel | EABEL | 011.44.1644.429267 | 2004-05-11 | SA_REP | 11000.00 | 0.30 | 149 | 80 | | 175 | Alyssa | Hutton | AHUTTON | 011.44.1644.429266 | 2005-03-19 | SA_REP | 8800.00 | 0.25 | 149 | 80 | | 176 | Jonathon | Taylor | JTAYLOR | 011.44.1644.429265 | 2006-03-24 | SA_REP | 8600.00 | 0.20 | 149 | 80 | | 177 | Jack | Livingston | JLIVINGS | 011.44.1644.429264 | 2006-04-23 | SA_REP | 8400.00 | 0.20 | 149 | 80 | | 178 | Kimberely | Grant | KGRANT | 011.44.1644.429263 | 2007-05-24 | SA_REP | 7000.00 | 0.15 | 149 | 0 | | 179 | Charles | Johnson | CJOHNSON | 011.44.1644.429262 | 2008-01-04 | SA_REP | 6200.00 | 0.10 | 149 | 80 | | 180 | Winston | Taylor | WTAYLOR | 650.507.9876 | 2006-01-24 | SH_CLERK | 3200.00 | 0.00 | 120 | 50 | | 181 | Jean | Fleaur | JFLEAUR | 650.507.9877 | 2006-02-23 | SH_CLERK | 3100.00 | 0.00 | 120 | 50 | | 182 | Martha | Sullivan | MSULLIVA | 650.507.9878 | 2007-06-21 | SH_CLERK | 2500.00 | 0.00 | 120 | 50 | | 183 | Girard | Geoni | GGEONI | 650.507.9879 | 2008-02-03 | SH_CLERK | 2800.00 | 0.00 | 120 | 50 | | 184 | Nandita | Sarchand | NSARCHAN | 650.509.1876 | 2004-01-27 | SH_CLERK | 4200.00 | 0.00 | 121 | 50 | | 185 | Alexis | Bull | ABULL | 650.509.2876 | 2005-02-20 | SH_CLERK | 4100.00 | 0.00 | 121 | 50 | | 186 | Julia | Dellinger | JDELLING | 650.509.3876 | 2006-06-24 | SH_CLERK | 3400.00 | 0.00 | 121 | 50 | | 187 | Anthony | Cabrio | ACABRIO | 650.509.4876 | 2007-02-07 | SH_CLERK | 3000.00 | 0.00 | 121 | 50 | | 188 | Kelly | Chung | KCHUNG | 650.505.1876 | 2005-06-14 | SH_CLERK | 3800.00 | 0.00 | 122 | 50 | | 189 | Jennifer | Dilly | JDILLY | 650.505.2876 | 2005-08-13 | SH_CLERK | 3600.00 | 0.00 | 122 | 50 | | 190 | Timothy | Gates | TGATES | 650.505.3876 | 2006-07-11 | SH_CLERK | 2900.00 | 0.00 | 122 | 50 | | 191 | Randall | Perkins | RPERKINS | 650.505.4876 | 2007-12-19 | SH_CLERK | 2500.00 | 0.00 | 122 | 50 | | 192 | Sarah | Bell | SBELL | 650.501.1876 | 2004-02-04 | SH_CLERK | 4000.00 | 0.00 | 123 | 50 | | 193 | Britney | Everett | BEVERETT | 650.501.2876 | 2005-03-03 | SH_CLERK | 3900.00 | 0.00 | 123 | 50 | | 194 | Samuel | McCain | SMCCAIN | 650.501.3876 | 2006-07-01 | SH_CLERK | 3200.00 | 0.00 | 123 | 50 | | 195 | Vance | Jones | VJONES | 650.501.4876 | 2007-03-17 | SH_CLERK | 2800.00 | 0.00 | 123 | 50 | | 196 | Alana | Walsh | AWALSH | 650.507.9811 | 2006-04-24 | SH_CLERK | 3100.00 | 0.00 | 124 | 50 | | 197 | Kevin | Feeney | KFEENEY | 650.507.9822 | 2006-05-23 | SH_CLERK | 3000.00 | 0.00 | 124 | 50 | | 198 | Donald | OConnell | DOCONNEL | 650.507.9833 | 2007-06-21 | SH_CLERK | 2600.00 | 0.00 | 124 | 50 | | 199 | Douglas | Grant | DGRANT | 650.507.9844 | 2008-01-13 | SH_CLERK | 2600.00 | 0.00 | 124 | 50 | | 200 | Jennifer | Whalen | JWHALEN | 515.123.4444 | 2003-09-17 | AD_ASST | 4400.00 | 0.00 | 101 | 10 | | 201 | Michael | Hartstein | MHARTSTE | 515.123.5555 | 2004-02-17 | MK_MAN | 13000.00 | 0.00 | 100 | 20 | | 202 | Pat | Fay | PFAY | 603.123.6666 | 2005-08-17 | MK_REP | 6000.00 | 0.00 | 201 | 20 | | 203 | Susan | Mavris | SMAVRIS | 515.123.7777 | 2002-06-07 | HR_REP | 6500.00 | 0.00 | 101 | 40 | | 204 | Hermann | Baer | HBAER | 515.123.8888 | 2002-06-07 | PR_REP | 10000.00 | 0.00 | 101 | 70 | | 205 | Shelley | Higgins | SHIGGINS | 515.123.8080 | 2002-06-07 | AC_MGR | 12008.00 | 0.00 | 101 | 110 | | 206 | William | Gietz | WGIETZ | 515.123.8181 | 2002-06-07 | AC_ACCOUNT | 8300.00 | 0.00 | 205 | 110 | +-------------+-------------+-------------+----------+--------------------+------------+------------+----------+----------------+------------+---------------+
Sample Solution:
-- Selecting specific columns (employee_id, first_name, last_name, job_id) from the 'employees' table
SELECT employee_id, first_name, last_name, job_id
-- Filtering rows based on the condition that the 'salary' is less than any salary in the result set of a subquery
FROM employees
-- Subquery to find salaries where the 'job_id' is 'MK_MAN' in the 'employees' table
WHERE salary < ANY
(SELECT salary
FROM employees
-- Subquery to select salaries where the 'job_id' is 'MK_MAN'
WHERE job_id = 'MK_MAN'
)
-- Additional condition to exclude rows where the 'job_id' is 'MK_MAN' from the result set
AND job_id <> 'MK_MAN';
Sample Output:
employee_id first_name last_name job_id 103 Alexander Hunold IT_PROG 104 Bruce Ernst IT_PROG 105 David Austin IT_PROG 106 Valli Pataballa IT_PROG 107 Diana Lorentz IT_PROG 108 Nancy Greenberg FI_MGR 109 Daniel Faviet FI_ACCOUNT 110 John Chen FI_ACCOUNT 111 Ismael Sciarra FI_ACCOUNT 112 Jose Manuel Urman FI_ACCOUNT 113 Luis Popp FI_ACCOUNT 114 Den Raphaely PU_MAN 115 Alexander Khoo PU_CLERK 116 Shelli Baida PU_CLERK 117 Sigal Tobias PU_CLERK 118 Guy Himuro PU_CLERK 119 Karen Colmenares PU_CLERK 120 Matthew Weiss ST_MAN 121 Adam Fripp ST_MAN 122 Payam Kaufling ST_MAN 123 Shanta Vollman ST_MAN 124 Kevin Mourgos ST_MAN 125 Julia Nayer ST_CLERK 126 Irene Mikkilineni ST_CLERK 127 James Landry ST_CLERK 128 Steven Markle ST_CLERK 129 Laura Bissot ST_CLERK 130 Mozhe Atkinson ST_CLERK 131 James Marlow ST_CLERK 132 TJ Olson ST_CLERK 133 Jason Mallin ST_CLERK 134 Michael Rogers ST_CLERK 135 Ki Gee ST_CLERK 136 Hazel Philtanker ST_CLERK 137 Renske Ladwig ST_CLERK 138 Stephen Stiles ST_CLERK 139 John Seo ST_CLERK 140 Joshua Patel ST_CLERK 141 Trenna Rajs ST_CLERK 142 Curtis Davies ST_CLERK 143 Randall Matos ST_CLERK 144 Peter Vargas ST_CLERK 147 Alberto Errazuriz SA_MAN 148 Gerald Cambrault SA_MAN 149 Eleni Zlotkey SA_MAN 150 Peter Tucker SA_REP 151 David Bernstein SA_REP 152 Peter Hall SA_REP 153 Christopher Olsen SA_REP 154 Nanette Cambrault SA_REP 155 Oliver Tuvault SA_REP 156 Janette King SA_REP 157 Patrick Sully SA_REP 158 Allan McEwen SA_REP 159 Lindsey Smith SA_REP 160 Louise Doran SA_REP 161 Sarath Sewall SA_REP 162 Clara Vishney SA_REP 163 Danielle Greene SA_REP 164 Mattea Marvins SA_REP 165 David Lee SA_REP 166 Sundar Ande SA_REP 167 Amit Banda SA_REP 168 Lisa Ozer SA_REP 169 Harrison Bloom SA_REP 170 Tayler Fox SA_REP 171 William Smith SA_REP 172 Elizabeth Bates SA_REP 173 Sundita Kumar SA_REP 174 Ellen Abel SA_REP 175 Alyssa Hutton SA_REP 176 Jonathon Taylor SA_REP 177 Jack Livingston SA_REP 178 Kimberely Grant SA_REP 179 Charles Johnson SA_REP 180 Winston Taylor SH_CLERK 181 Jean Fleaur SH_CLERK 182 Martha Sullivan SH_CLERK 183 Girard Geoni SH_CLERK 184 Nandita Sarchand SH_CLERK 185 Alexis Bull SH_CLERK 186 Julia Dellinger SH_CLERK 187 Anthony Cabrio SH_CLERK 188 Kelly Chung SH_CLERK 189 Jennifer Dilly SH_CLERK 190 Timothy Gates SH_CLERK 191 Randall Perkins SH_CLERK 192 Sarah Bell SH_CLERK 193 Britney Everett SH_CLERK 194 Samuel McCain SH_CLERK 195 Vance Jones SH_CLERK 196 Alana Walsh SH_CLERK 197 Kevin Feeney SH_CLERK 198 Donald OConnell SH_CLERK 199 Douglas Grant SH_CLERK 200 Jennifer Whalen AD_ASST 202 Pat Fay MK_REP 203 Susan Mavris HR_REP 204 Hermann Baer PR_REP 205 Shelley Higgins AC_MGR 206 William Gietz AC_ACCOUNT
Code Explanation:
The said query in SQL that retrieves the employee ID, first name, last name, and job ID of all employees who have a salary lower than any employee with the job ID "MK_MAN", and do not have the job ID "MK_MAN" themselves.
The subquery in the "WHERE" clause retrieves the salary of all employees with the job ID "MK_MAN".
The outer query then compares the salary of each employee with the result of the subquery using the keyword "ANY". The additional condition in the "WHERE" clause, "AND job_id <> 'MK_MAN'", excludes employees with the job ID "MK_MAN" from the result set.
Visual Presentation:
Alternative Statements:
Using JOIN:
SELECT e1.employee_id, e1.first_name, e1.last_name, e1.job_id
FROM employees e1
JOIN employees e2 ON e1.salary < e2.salary
WHERE e2.job_id = 'MK_MAN' AND e1.job_id <> 'MK_MAN';
Using EXISTS:
SELECT employee_id, first_name, last_name, job_id
FROM employees e1
WHERE EXISTS (
SELECT 1
FROM employees e2
WHERE e1.salary < e2.salary
AND e2.job_id = 'MK_MAN'
AND e1.job_id <> 'MK_MAN'
);
Practice Online
Query Visualization:
Duration:
Rows:
Cost:
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