3 Solutions to 2018 Oracle SQL Puzzle of the Week #14

Yet Another Top Employee Puzzle

Find the employee who remained the top paid employee (excluding the president) the longest period of time between 1980 and 1981

  • Use a single SELECT statement only.
  • President should be excluded from the analysis.
  • Show the number of days the employee remained the top paid person as well as Start Date (hiredate) and End Date (the date when another top employee started)
  • The End Date for the last top paid employee in the interval should be 31-DEC-1981.

Expected Result:

EMPNO ENAME JOB SAL Start Date End Date Days on Top
7566 JONES MANAGER 2975 02-APR-81 03-DEC-81 245

Solutions:

Solution #1. Using RANK to filter the top employee:

WITH x AS ( 
SELECT empno, ename, job, sal, hiredate, 
       MAX(sal)OVER(ORDER BY hiredate) max_sal 
FROM scott.emp  
WHERE job!='PRESIDENT' 
), y AS ( 
SELECT empno, ename, job, sal, hiredate start_date, max_sal,  
       LEAD(hiredate) OVER(ORDER BY hiredate) end_date 
FROM x 
WHERE sal=max_sal 
), z AS ( 
SELECT y.*, LEAST(end_date, date'1981-12-31')-start_date days_on_top, 
RANK()OVER(ORDER BY LEAST(end_date, date'1981-12-31')-start_date DESC) rk 
FROM y 
WHERE EXTRACT(YEAR FROM start_date) IN (1980, 1981)  
) 
SELECT empno,ename,job,sal, start_date "Start Date", 
       end_date "End Date", days_on_top	"Days on Top" 
FROM z 
WHERE rk=1

Solution #2. Using Subquery to filter the top employee:

WITH x AS ( 
SELECT empno, ename, job, sal, hiredate, 
       MAX(sal)OVER(ORDER BY hiredate) max_sal 
FROM scott.emp  
WHERE job!='PRESIDENT' 
  AND hiredate>=date'1980-01-01'  
), y AS ( 
SELECT empno, ename, job, sal, hiredate start_date,  
       LEAST(date'1981-12-31', 
             LEAD(hiredate) OVER(ORDER BY hiredate)) end_date 
FROM x 
WHERE sal=max_sal 
) 
SELECT empno,ename,job,sal, start_date "Start Date", 
       end_date "End Date", end_date-start_date "Days on Top" 
FROM y 
WHERE end_date-start_date=(SELECT MAX(end_date-start_date) FROM y)

Solution #3. Using MODEL with RETURN UPDATED ROWS to filter the top employee:

WITH e AS ( 
SELECT empno, ename, sal, job, LEAST(hiredate, date'1981-12-31') hiredate,  
       MAX(sal)OVER(ORDER BY hiredate) max_sal 
FROM scott.emp 
WHERE hiredate>=date'1980-01-01'  
  AND job!='PRESIDENT' 
), x AS ( 
SELECT empno, ename, job, sal, hiredate,  
       NVL(LEAD(hiredate)OVER(ORDER BY hiredate),
           date'1981-12-31')-hiredate diff, 
       NVL(LEAD(hiredate)OVER(ORDER BY hiredate),
           date'1981-12-31') end_date 
FROM e 
WHERE sal=max_sal 
) 
SELECT empno, ename, job, sal, hiredate "Start Date", 
       end_date "End Date", diff "Days on Top" 
FROM x 
MODEL RETURN UPDATED ROWS 
DIMENSION BY (empno, RANK()OVER(ORDER BY diff DESC) rk) 
MEASURES(ename,job,sal, hiredate, end_date, diff, 0 dummy) 
RULES(dummy[ANY, 1]=1)

The following query will only work as long as there is only 1 top paid employee who stayed on top the longest. In case if we had more than 1 it would only list one of those:

WITH x AS (
SELECT empno, ename, job, sal, hiredate, 
       MAX(sal)OVER(ORDER BY hiredate) max_sal
FROM scott.emp 
WHERE job!='PRESIDENT'
), y AS (
SELECT empno, ename, job, sal, hiredate start_date, 
 LEAST(date'1981-12-31', 
       LEAD(hiredate) OVER(ORDER BY hiredate)) end_date,
 LEAST(date'1981-12-31', 
       LEAD(hiredate) OVER(ORDER BY hiredate))-hiredate days_top
FROM x
WHERE sal=max_sal
ORDER BY days_top DESC NULLS LAST, hiredate
)
SELECT *
FROM y
WHERE ROWNUM=1

You can execute the above SQL statements in Oracle Live SQL environment.
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7 Solutions to 2018 Oracle SQL Puzzle of the Week #13

Second Top Employee as of the Start of Employment

List all employees who were 2nd top paid in the entire company as of the time their employment started

  • Use a single SELECT statement only.
  • At the time of employment start the rank of the employee by salary should be 2.
  • Show the top salary at the time when the employee started with the company.
  • We assume that no employees have ever been terminated since day 1.

Expected Result:

ENAME JOB SAL HIREDATE MAX_SAL
WARD SALESMAN 1250 22-FEB-81 1600
BLAKE MANAGER 2850 01-MAY-81 2975
FORD ANALYST 3000 03-DEC-81 5000
SCOTT ANALYST 3000 19-APR-87 5000

Solutions:

Solution #1. Using LATERAL view, RANK and cumulative MAX analytic functions (Oracle 12g+):

SELECT e.ename, e.job, e.hiredate, e.sal, r.max_sal 
FROM scott.emp e, LATERAL(SELECT a.empno,  
                                 RANK() OVER(ORDER BY a.sal DESC) rk, 
                                 MAX(a.sal) OVER() max_sal 
                          FROM scott.emp a 
                          WHERE a.hiredate<=e.hiredate) r 
WHERE e.empno=r.empno  
  AND rk=2 
ORDER BY e.hiredate

Solution #2. Using CTE, cumulative MAX analytic function and a correlated subquery with COUNT to mimic the filter by RANK:

WITH x AS ( 
SELECT ename, job, hiredate, sal, MAX(sal)OVER(ORDER BY hiredate) max_sal 
FROM scott.emp a 
) 
SELECT * 
FROM x 
WHERE 1=(SELECT COUNT(*) 
         FROM scott.emp 
         WHERE hiredate<=x.hiredate 
           AND sal>x.sal) 
ORDER BY hiredate

Solution #3. Using CTE, cumulative MAX analytic function and an in-line scalar subquery in SELECT to mimic the RANK:

WITH x AS ( 
SELECT ename, job, hiredate, sal, MAX(sal)OVER(ORDER BY hiredate) max_sal, 
       (SELECT COUNT(*)+1 
        FROM scott.emp 
        WHERE sal>e.sal  
          AND hiredate<=e.hiredate) rk 
FROM scott.emp e 
) 
SELECT ename, job, hiredate, sal, max_sal 
FROM x 
WHERE rk=2 
ORDER BY hiredate

Solution #4. Using self-join and Cartesian Product with aggregation:

SELECT a.ename, a.job, a.hiredate, a.sal, MAX(b.sal) max_sal 
FROM scott.emp a JOIN scott.emp b ON b.hiredate<=a.hiredate 
                                 AND b.sal>a.sal 
GROUP BY a.ename, a.job, a.hiredate, a.sal 
HAVING COUNT(DISTINCT b.empno)=1 
ORDER BY a.hiredate

Solution #5. Using CTE and cumulative MAX analytic function (twice):

WITH x AS ( 
SELECT ename, job, hiredate, sal, 
       MAX(sal) OVER(ORDER BY hiredate) max_sal 
FROM scott.emp  
), y  AS ( 
SELECT ename, job, hiredate, sal, max_sal, MAX(sal) OVER(ORDER BY hiredate) max_sal2 
FROM x 
WHERE sal<max_sal 
) 
SELECT ename, job, hiredate, sal, max_sal 
FROM y 
WHERE sal=max_sal2 
ORDER BY hiredate

Solution #6. Using regular and recursive CTEs, ROWNUM, GREATEST, and CASE functions (no Analytic functions!):

WITH e AS ( 
SELECT ename, job, sal, hiredate 
FROM scott.emp 
ORDER BY hiredate 
), x AS ( 
SELECT ename, job, sal, hiredate, ROWNUM rn 
FROM e 
), y(max_sal, sal2, rn) AS ( 
SELECT sal, 0, 1 
FROM x 
WHERE rn=1 
UNION ALL 
SELECT GREATEST(x.sal, y.max_sal) AS max_sal, 
       CASE WHEN x.sal>y.max_sal THEN y.max_sal 
            WHEN x.sal>y.sal2 AND x.sal<=y.max_sal THEN x.sal  
            ELSE y.sal2  
       END AS sal2, 
       x.rn 
FROM x JOIN y ON x.rn=y.rn+1 
) 
SELECT x.ename, x.job, x.sal, x.hiredate, y.max_sal 
FROM y JOIN x ON y.rn=x.rn AND y.sal2=x.sal

Solution #7. Using CTE and MODEL clause to mimic Solution #6:

WITH x AS ( 
SELECT * 
FROM scott.emp 
MODEL 
DIMENSION BY (ROW_NUMBER() OVER(ORDER BY hiredate) rn) 
MEASURES(ename, job, sal, hiredate, sal max_sal, 0 sal2) 
RULES( 
    max_sal[rn>1] = GREATEST(max_sal[CV()-1], sal[CV()]), 
    sal2[rn>1] = CASE WHEN sal[CV()]> max_sal[CV()-1] THEN max_sal[CV()-1] 
                      WHEN sal[CV()]> sal2[CV()-1]   
		       AND sal[CV()]<=max_sal[CV()-1] THEN sal[CV()]  
                      ELSE sal2[CV()-1] 
                 END 
     ) 
) 
SELECT ename, job, sal, hiredate, max_sal 
FROM x 
WHERE sal=sal2

You can execute the above SQL statements in Oracle Live SQL environment.
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Further Reading:

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12 Solutions to 2018 Oracle SQL Puzzle of the Week #10

Top Salary Puzzle

Find highest salary in each department without using MAX function

  • Use a single SELECT statement only.
  • For an added complexity (optional): try not using ANY functions at all (neither group, nor analytic, not even scalar)

Expected Result:

DEPTNO MAX_SAL
10 5000
20 3000
30 2850

Solutions:

We will begin with a simpler problem that does allow us using functions.

Solution #1. Using MIN function

Credit to: Boobal Ganesan

MIN function can be seen as an opposite to the MAX, so it is trivial to employ it here:

SELECT deptno, -MIN(-sal) max_sal
FROM scott.emp
GROUP BY deptno
ORDER BY 1;

Solution #2. Using LISTAGG and REGEXP_SUBSTR functions

This is an “order” based approach that sorts the values within a concatenated string and then uses regular expression to cut the first token.

SELECT deptno,
       REGEXP_SUBSTR(LISTAGG(sal,',') 
                     WITHIN GROUP(ORDER BY sal DESC),'[^,]+',1,1) max_sal
FROM scott.emp
GROUP BY deptno
ORDER BY 1;

Solution #3. Using AVG(…) KEEP() group function

This is another “order” based strategy whete AVG function can be replaced with MIN or any other aggregate function that returns a single value out of a set of identical ones.

SELECT deptno, AVG(sal) KEEP(DENSE_RANK FIRST ORDER BY sal DESC) max_sal
FROM scott.emp
GROUP BY deptno
ORDER BY 1;

Solution #4. Using Analytic function and CTE

ROW_NUMBER is chosen in this approach, though other analytic functions, such as RANK, DENSE_RANK, LEAD, LAG, FIRST_VALUE, etc can be used here (with some changes) as well. ROW_NUMBER is convenient to use as it allows to avoid DISTINCT option.

WITH x AS (
SELECT deptno, sal, 
       ROW_NUMBER()OVER(PARTITION BY deptno ORDER BY sal DESC) rn
FROM scott.emp
)
SELECT deptno, sal max_sal
FROM x
WHERE rn=1
ORDER BY 1;

Solution #5. Using MATCH_RECOGNIZE clause

Credit to: KATAYAMA NAOTO

This approach is similar to the previous one if we used LAG analytic function: which would return NULL for the top record.

SELECT deptno, sal max_sal 
FROM scott.emp
MATCH_RECOGNIZE (
PARTITION BY deptno
ORDER BY sal DESC
ALL ROWS PER MATCH
PATTERN (ISNULL)
DEFINE ISNULL AS PREV(ISNULL.sal) IS NULL
);

Solution #6. CONNECT BY and CONNECT_BY_ISLEAF while avoiding Analytic functions

This approach is a bit artificial. We could have used DISTINCT and avoid START WITH clause completely.  CTEs x and y are used to simulate ROW_NUMBER analytic function.

WITH x AS (
SELECT deptno, sal
FROM scott.emp
ORDER BY 1,2
), y AS (
SELECT x.*, ROWNUM rn
FROM x
)
SELECT deptno, sal
FROM y
WHERE CONNECT_BY_ISLEAF=1
CONNECT BY deptno=PRIOR deptno
       AND rn=PRIOR rn+1
START WITH (deptno, rn) IN (SELECT deptno, MIN(rn)
                            FROM y
                            GROUP BY deptno);

Solution #7. Using MODEL clause with ROW_NUMBER function

This method is pretty much the same as in the Solution #4 above. The RETURN UPDATED ROWS and dummy measures are used to only return rows with rn=1.

SELECT deptno, max_sal
FROM scott.emp
MODEL
RETURN UPDATED ROWS
PARTITION BY (deptno)
DIMENSION BY (ROW_NUMBER() OVER(PARTITION BY deptno ORDER BY sal DESC) rn)
MEASURES(sal max_sal, 0 dummy)
RULES(
 dummy[1]=1
)
ORDER BY 1;

The following 5 solutions (##8-12) satisfy the “added complexity” term and do NOT use any functions at all.

Solution #8. Using ALL predicate

Generally speaking, >=ALL filter is identical to =(SELECT MAX() …). See my book for more detailed explanations.

SELECT deptno, sal max_sal
FROM scott.emp a
WHERE sal>=ALL(SELECT sal
               FROM scott.emp
               WHERE deptno=a.deptno)
GROUP BY deptno, sal
ORDER BY 1;

Solution #9. Using NOT EXISTS predicate

See Chapter 10 of my book for details.

SELECT deptno, sal max_sal
FROM scott.emp a
WHERE NOT EXISTS(SELECT 1
                 FROM scott.emp
                 WHERE deptno=a.deptno
                   AND sal>a.sal)
GROUP BY deptno, sal
ORDER BY 1;

Solution #10. Using Outer-Join with IS NULL filter

This approach is also covered very deeply in my book, Chapter 10.

SELECT a.deptno, a.sal max_sal
FROM scott.emp a LEFT JOIN scott.emp b ON a.deptno=b.deptno
                                      AND b.sal>a.sal 
WHERE b.empno IS NULL
GROUP BY a.deptno, a.sal
ORDER BY 1;

Solution #11. Using MINUS and ANY predicate

MINUS serves 2 purposes: it removes non-top rows and eliminates duplicates, so no DISTINCT option (or GROUP BY) is required.

SELECT deptno, sal max_sal 
FROM scott.emp
MINUS
SELECT deptno, sal
FROM scott.emp a
WHERE sal<ANY(SELECT sal 
              FROM scott.emp
              WHERE deptno=a.deptno);

Solution #12. Using MINUS and EXISTS predicate

Last two approaches covered in the drill from the Chapter 10 of my book.

SELECT deptno, sal max_sal 
FROM scott.emp
MINUS
SELECT deptno, sal
FROM scott.emp a
WHERE EXISTS(SELECT 1 
             FROM scott.emp
             WHERE deptno=a.deptno
               AND sal>a.sal);

You can execute the above SQL statements in Oracle Live SQL environment.
My Oracle Group on Facebook:

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8 Solutions to 2018 Oracle SQL Puzzle of the Week #9

Recent employment Puzzle

For each location, show 2 most recently hired employees

  • Use a single SELECT statement only.
  • ename1 and hiredate1 columns should correspond the latest hired employee while ename1 and hiredate1 columns – the previous one

Expected Result:

LOC ENAME1 HIREDATE1 ENAME2 HIREDATE2
NEW YORK MILLER 23-JAN-82 KING 17-NOV-81
CHICAGO JAMES 03-DEC-81 MARTIN 28-SEP-81
DALLAS ADAMS 23-MAY-87 SCOTT 19-APR-87

Solutions:

Solution #1. Using Self-Join and MAX functions

SELECT d.loc, 
     MAX(e1.ename) KEEP(DENSE_RANK FIRST ORDER BY e1.hiredate DESC) ename1, 
     MAX(e1.hiredate) hiredate1, 
     MAX(e2.ename) KEEP(DENSE_RANK FIRST ORDER BY e2.hiredate DESC) ename2, 
     MAX(e2.hiredate) hiredate2 
FROM scott.emp e1 JOIN scott.emp e2 ON e1.deptno=e2.deptno 
 AND e1.hiredate>=e2.hiredate 
 AND e1.ROWID!=e2.ROWID 
                  JOIN scott.dept d ON e1.deptno=d.deptno 
GROUP BY d.loc;

Solution #2. Using LISTAGG and REGEXP_SUBSTR functions

SELECT d.loc, 
       MAX(ename) KEEP(DENSE_RANK FIRST ORDER BY hiredate DESC) ename1,
       MAX(hiredate) hiredate1, 
       REGEXP_SUBSTR(LISTAGG(ename, '|') WITHIN GROUP (ORDER BY hiredate DESC),
 '[^|]+',1,2) ename2,
       REGEXP_SUBSTR(LISTAGG(hiredate, '|') WITHIN GROUP (ORDER BY hiredate DESC),
 '[^|]+',1,2) hiredate2
FROM scott.emp e JOIN scott.dept d ON e.deptno=d.deptno
GROUP BY d.loc
ORDER BY 1;

Solution #3. Using CTE, ROW_NUMBER, and Self-Join

WITH x AS (
SELECT d.loc, e.ename, e.hiredate, 
       ROW_NUMBER()OVER(PARTITION BY d.deptno ORDER BY e.hiredate DESC) rn
FROM scott.emp e JOIN scott.dept d ON e.deptno=d.deptno
)
SELECT a.loc, a.ename ename1, a.hiredate hiredate1,
              b.ename ename2, b.hiredate hiredate2
FROM x a JOIN x b ON a.loc=b.loc AND a.rn=1 AND b.rn=2;

Solution #4. Using Pivot

WITH x AS (
SELECT d.loc, e.ename, e.hiredate, 
       ROW_NUMBER()OVER(PARTITION BY d.deptno ORDER BY e.hiredate DESC) rn
FROM scott.emp e JOIN scott.dept d ON e.deptno=d.deptno
)
SELECT loc, e1_ename AS ename1, e1_hdate AS hiredate1,
       e2_ename AS ename2, e2_hdate AS hiredate2
FROM x
PIVOT (
MAX(ename) ename, MAX(hiredate) hdate FOR rn IN (1 AS e1, 2 AS e2) 
)
ORDER BY 1;

Solution #5. Simulating Pivot with MAX and DECODE functions

WITH x AS (
SELECT d.loc, e.ename, e.hiredate, 
       ROW_NUMBER()OVER(PARTITION BY d.deptno ORDER BY e.hiredate DESC) rn
FROM scott.emp e JOIN scott.dept d ON e.deptno=d.deptno
)
SELECT loc, 
       MAX(DECODE(rn,1,ename)) ename1, 
       MAX(DECODE(rn,1,hiredate)) hiredate1,
       MAX(DECODE(rn,2,ename)) ename2, 
       MAX(DECODE(rn,2,hiredate)) hiredate2
FROM x
GROUP BY loc
ORDER BY 1;

Solution #6. Using CONNECT BY

WITH x AS (
SELECT d.loc, e.ename, e.hiredate, 
       ROW_NUMBER()OVER(PARTITION BY d.deptno ORDER BY e.hiredate DESC) rn
FROM scott.emp e JOIN scott.dept d ON e.deptno=d.deptno
)
SELECT loc, PRIOR ename ename1, PRIOR hiredate hiredate1, 
       ename ename2, hiredate hriedate2
FROM x
WHERE rn=2
START WITH rn=1
CONNECT BY loc=PRIOR loc
       AND rn=PRIOR rn+1;

Solution #7. Using LEAD and ROW_NUMBER Analytic functions

WITH x AS (
SELECT d.loc, e.ename ename1, e.hiredate hiredate1, 
 LEAD(e.ename,1) OVER(PARTITION BY d.deptno ORDER BY e.hiredate DESC) ename2,
 LEAD(e.hiredate,1) OVER(PARTITION BY d.deptno ORDER BY e.hiredate DESC) hiredate2,
 ROW_NUMBER()OVER(PARTITION BY d.deptno ORDER BY e.hiredate DESC) rn
FROM scott.emp e JOIN scott.dept d ON e.deptno=d.deptno
) 
SELECT loc, ename1, hiredate1, ename2, hiredate2
FROM x
WHERE rn=1
ORDER BY 1;

Solution #8. Using Model Clause:

SELECT loc, ename1, hiredate1, ename2, hiredate2
FROM scott.emp e JOIN scott.dept d ON e.deptno=d.deptno
MODEL
RETURN UPDATED ROWS
PARTITION BY (d.loc)
DIMENSION BY (
   ROW_NUMBER()OVER(PARTITION BY d.loc ORDER BY e.hiredate DESC) AS rn
)
MEASURES(
    ename AS ename1, hiredate AS hiredate1, 
    ename AS ename2, hiredate AS hiredate2
)
RULES(
    ename2[1]   =ename1[2],
    hiredate2[1]=hiredate1[2]
)
ORDER BY 1;

You can execute the above SQL statements in Oracle Live SQL environment.
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7 Solutions to 2018 Oracle SQL Puzzle of the Week #8

Triangle Numbers Puzzle

Generate a sequence of first N triangle numbers: 1, 3 (=1+2); 6=(1+2+3), 10=(1+2+3+4), etc

  • Use a single SELECT statement only.
  • Do not use any mathematical formulas, except for the sequence definition.

Expected Result (for N=10):

N TRAINGLE_N
1 1
2 3
3 6
4 10
5 15
6 21
7 28
8 36
9 45
10 55

Solutions:

Solution #1: Using Cumulative SUM analytic function:

SELECT LEVEL n, SUM(LEVEL) OVER(ORDER BY LEVEL) triangle_n
FROM dual
CONNECT BY LEVEL<=10

Solution #2: Using MODEL clause with ITERATE:

SELECT n, tn triangle_n
FROM dual
MODEL
RETURN UPDATED ROWS
DIMENSION BY (0 AS N)
MEASURES(0 AS TN)
RULES ITERATE(10)
(TN[ITERATION_NUMBER+1]=TN[cv()-1]+ITERATION_NUMBER+1)

Solution #3: Using MODEL clause over generated range:

WITH x AS (
SELECT ROWNUM-1 rn
FROM dual
CONNECT BY LEVEL<=11
)
SELECT n, tn triangle_n
FROM x
MODEL
RETURN UPDATED ROWS
DIMENSION BY (rn)
MEASURES(0 AS tn, rn AS n)
RULES(tn[rn>=1]=tn[CV()-1]+n[CV()])

Solution #4: Using XMLQUERY and SYS_CONNECT_BY_PATH functions:

Credit to Boobal Ganesan

SELECT LEVEL n,
       XMLQUERY(SYS_CONNECT_BY_PATH(LEVEL,'+') 
                RETURNING CONTENT).getnumberval() triangle_n
FROM dual
CONNECT BY level <= 10

Solution #5: Using Recursive CTE:

WITH x(n,triangle_n) AS (
SELECT 1,1
FROM dual
UNION ALL
SELECT n+1, triangle_n+n+1
FROM x
WHERE n<10
)
SELECT *
FROM x

Solution #6: Using CTE and Self-Join:

WITH x AS (
SELECT ROWNUM n
FROM dual
CONNECT BY LEVEL<=10
)
SELECT a.n, SUM(b.n) triangle_n
FROM x a JOIN x b ON a.n>=b.n
GROUP BY a.n
ORDER BY 1

Solution #7: Using CTE and LATERAL view:

WITH x AS (
SELECT ROWNUM n
FROM dual
CONNECT BY LEVEL<=10
)
SELECT a.n, t.triangle_n
FROM x a, LATERAL(SELECT SUM(b.n) triangle_n
 FROM x b
 WHERE b.n<=a.n) t

You can execute the above SQL statements in Oracle Live SQL environment.
My Oracle Group on Facebook:

If you like this post, you may want to join my new Oracle group on Facebook: https://www.facebook.com/groups/sqlpatterns/

Would you like to read about many more tricks and puzzles?

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9 Solutions to 2018 Oracle SQL Puzzle of the Week #7

Namesake Puzzle

Show groups of employees having the same last name.

  • Use a single SELECT statement only
  • Use hr.employees table

Solutions:

Solution #1: Using Subquery with HAVING clause:

SELECT first_name, last_name, department_id, employee_id 
FROM hr.employees 
WHERE last_name IN (SELECT last_name 
                    FROM hr.employees 
		    GROUP BY last_name 
		    HAVING COUNT(*)>1) 
ORDER BY 2,1

Solution #2: Using Multi-Column Subquery with NO HAVING clause

SELECT first_name, last_name, department_id, employee_id 
FROM hr.employees 
WHERE (last_name, 1) IN (SELECT last_name, SIGN(COUNT(*)-1) 
                         FROM hr.employees 
			 GROUP BY last_name) 
ORDER BY 2,1

Solution #3: Using Subquery with IN operator

SELECT first_name, last_name, department_id, employee_id 
FROM hr.employees a 
WHERE last_name IN (SELECT b.last_name 
                    FROM hr.employees b 
		    WHERE a.employee_id!=b.employee_id) 
ORDER BY 2,1

Solution #4: Using Self-Join with duplicate elimination in GROUP BY

SELECT a.first_name, a.last_name, a.department_id, a.employee_id 
FROM hr.employees a JOIN hr.employees b ON a.last_name=b.last_name 
                                       AND a.employee_id!=b.employee_id 
GROUP BY a.first_name, a.last_name, a.department_id, a.employee_id 
ORDER BY 2,1

Solution #5: Using a filter by COUNT analytic function with PARTITION BY

WITH x AS ( 
SELECT first_name, last_name, department_id, employee_id,  
       COUNT(*) OVER(PARTITION BY last_name) cnt 
FROM hr.employees 
)	 
SELECT first_name, last_name, department_id, employee_id 
FROM x 
WHERE cnt>1 
ORDER BY 2,1

Solution #6: Mimicking COUNT analytic function with MODEL clause

(credit to Naoto Katayama)

WITH x AS ( 
SELECT first_name, last_name, department_id, employee_id, cnt 
FROM hr.employees 
MODEL 
RETURN UPDATED ROWS 
DIMENSION BY (last_name, employee_id) 
MEASURES(first_name, department_id, 0 AS cnt) 
RULES (cnt[ANY, ANY]=COUNT(*)[CV(), ANY]) 
) 
SELECT first_name, last_name, department_id, employee_id 
FROM x 
WHERE cnt>1 
ORDER BY 2,1

Solution #7: Filtering by LEAD and LAG analytic functions

WITH x AS ( 
SELECT first_name, last_name, department_id, employee_id,  
       LAG (last_name,1) OVER(ORDER BY last_name) lag_name, 
       LEAD(last_name,1) OVER(ORDER BY last_name) lead_name 
FROM hr.employees 
)	 
SELECT first_name, last_name, department_id, employee_id 
FROM x 
WHERE last_name IN (lag_name, lead_name) 
ORDER BY 2,1

Solution #8: Using MODEL clause with dummy measure for SIGN over analytic function expression

SELECT first_name, last_name, department_id, employee_id
FROM hr.employees 
MODEL 
RETURN UPDATED ROWS 
PARTITION BY (last_name) 
DIMENSION BY (SIGN(COUNT(*) OVER(PARTITION BY last_name)-1) AS n, 
              employee_id) 
MEASURES(first_name, department_id, 0 AS dummy) 
RULES (dummy[1, ANY]=1) 
ORDER BY 2,1

Solution #9: Using UNPIVOT with DISTINCT option over CONNECT BY with PRIOR

WITH x AS (
SELECT first_name curr_first, last_name, department_id curr_dept, employee_id curr_id, 
       PRIOR first_name prior_first, PRIOR department_id prior_dept, PRIOR employee_id prior_id
FROM hr.employees
WHERE level=2
CONNECT BY last_name=PRIOR last_name AND employee_id>PRIOR employee_id
)
SELECT DISTINCT first_name, last_name, department_id, employee_id
FROM x
UNPIVOT( 
    (first_name, department_id, employee_id)  for dummy IN ((curr_first, curr_dept, curr_id),
                                                            (prior_first,prior_dept,prior_id))
)
ORDER BY 2,1;

You can execute the above SQL statements in Oracle Live SQL environment.
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7 Solutions to 2018 Oracle SQL Puzzle of the Week #6

Conference Team Puzzle

Research department from Dallas (#20) needs to delegate a team of 3 to a annual conference. Create a list of all possible teams of 3 employees from that department.

  • Use a single SELECT statement only
  • Use scott.emp table
  • Exactly 3 employees (no repetitions) must be presented for each team

Solutions:

Essentially, all 6 solutions represent 6 different ways how you can UNPIVOT a result set. Some of those are fairly standard and well known (#3, #4, and #7) while the others are quite tricky (#2, #5, and #6).

Solution #1: Using UNPIVOT clause:

WITH t AS (  --#1: Using UNPIVOT 
SELECT ename, empno 
FROM scott.emp 
WHERE deptno=20 
), x AS ( 
SELECT ROWNUM team_no, t1.ename e1, t2.ename e2, t3.ename e3 
FROM t t1 JOIN t t2 ON t1.empno>t2.empno 
          JOIN t t3 ON t2.empno>t3.empno 
) 
SELECT team_no, team_member 
FROM x 
UNPIVOT (team_member FOR dummy IN (e1,e2,e3) ) 
ORDER BY 1,2

Solution #2: Mimicking UNPIVOT with IN operator

WITH t AS (  --#2: Mimicking UNPIVOT with IN operator 
SELECT ename, empno 
FROM scott.emp 
WHERE deptno=20 
), x AS ( 
SELECT ROWNUM team_no, t1.ename e1, t2.ename e2, t3.ename e3 
FROM t t1 JOIN t t2 ON t1.empno>t2.empno 
          JOIN t t3 ON t2.empno>t3.empno 
) 
SELECT x.team_no, t.ename team_member 
FROM t JOIN x ON t.ename IN (x.e1, x.e2, x.e3) 
ORDER BY 1,2

Solution #3: Mimicking UNPIVOT with MODEL clause

WITH t AS ( --#3: Mimicking UNPIVOT with MODEL clause 
SELECT ename, empno 
FROM scott.emp 
WHERE deptno=20 
), x AS ( 
SELECT ROWNUM team_no, t1.ename e1, t2.ename e2, t3.ename e3 
FROM t t1 JOIN t t2 ON t1.empno>t2.empno 
          JOIN t t3 ON t2.empno>t3.empno 
) 
SELECT team_no, team_member 
FROM x 
MODEL 
PARTITION BY (team_no) 
DIMENSION BY (1 AS dummy) 
MEASURES (e1 AS team_member, e2, e3) 
RULES( 
    team_member[2]=e2[1], 
    team_member[3]=e3[1] 
) 
ORDER BY 1,2

Solution #4: Mimicking UNPIVOT with UNION operators

WITH t AS ( --#4: Mimicking UNPIVOT with UNIONs 
SELECT ename, empno 
FROM scott.emp 
WHERE deptno=20 
), x AS ( 
SELECT ROWNUM team_no, t1.ename e1, t2.ename e2, t3.ename e3 
FROM t t1 JOIN t t2 ON t1.empno>t2.empno 
          JOIN t t3 ON t2.empno>t3.empno 
) 
SELECT team_no, e1 team_member 
FROM x 
UNION  
SELECT team_no, e2 team_member 
FROM x 
UNION  
SELECT team_no, e3 team_member 
FROM x

Solution #5: Mimicking UNPIVOT with DECODE and Cartesian Product

WITH t AS ( --#5: Mimicking UNPIVOT with DECODE and Cartesian Product 
SELECT ename, empno 
FROM scott.emp 
WHERE deptno=20 
), x AS ( 
SELECT ROWNUM team_no, t1.ename e1, t2.ename e2, t3.ename e3 
FROM t t1 JOIN t t2 ON t1.empno>t2.empno 
          JOIN t t3 ON t2.empno>t3.empno 
) 
SELECT team_no, DECODE(y.rn, 1, e1, 2, e2, 3, e3) team_member 
FROM x, (SELECT ROWNUM rn FROM dual CONNECT BY LEVEL<=3) y 
ORDER BY 1,2

Solution #6: Mimicking UNPIVOT with COALESCE and GROUPING SETS

WITH t AS ( --#6: Mimicking UNPIVOT with COALESCE and GROUPING SETS 
SELECT ename, empno 
FROM scott.emp 
WHERE deptno=20 
), x AS ( 
SELECT ROWNUM team_no, t1.ename e1, t2.ename e2, t3.ename e3 
FROM t t1 JOIN t t2 ON t1.empno>t2.empno 
          JOIN t t3 ON t2.empno>t3.empno 
) 
SELECT team_no, COALESCE(e1, e2, e3) team_member 
FROM x 
GROUP BY team_no, GROUPING SETS(e1,e2,e3) 
ORDER BY 1,2

Solution #7: Mimicking UNPIVOT with Recursive CTE

WITH t AS ( --#7: Mimicking UNPIVOT with Recursive CTE
SELECT ename, empno 
FROM scott.emp 
WHERE deptno=20 
), x AS ( 
SELECT ROWNUM team_no, t1.ename e1, t2.ename e2, t3.ename e3 
FROM t t1 JOIN t t2 ON t1.empno>t2.empno 
 JOIN t t3 ON t2.empno>t3.empno 
), y(team_no, team_member, e2, e3, lvl) AS (
SELECT team_no, e1, e2, e3, 1
FROM x
UNION ALL
SELECT team_no, DECODE(lvl+1, 2, e2, e3), e2, e3, lvl+1
FROM y
WHERE lvl+1<=3
)
SELECT team_no, team_member
FROM y
ORDER BY 1,2

You can execute the above SQL statements in Oracle Live SQL environment.
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Term Replication Sequence SQL Puzzle

SQL Puzzle:

Generate a term replication sequence: 1, 2, 2, 3, 3, 3, 4, 4, 4, 4, etc in a single SELECT statement.

Level: Advanced

Expected Result (for N=4):

RN
1
2
2
3
3
3
4
4
4
4

Solutions:

#1: Using CONNECT BY (for both, the range and the sequence generation)

WITH x AS (
SELECT ROWNUM rn
FROM dual
CONNECT BY LEVEL<=4
)
SELECT rn--, LEVEL
FROM x
CONNECT BY LEVEL<=rn
       AND rn>PRIOR rn
GROUP BY rn, LEVEL
ORDER BY 1;

#2: Using Recursive CTE

WITH x(rn, lvl) AS (
SELECT ROWNUM rn, 1
FROM dual
CONNECT BY LEVEL<=4
UNION ALL
SELECT rn, lvl+1
FROM x
WHERE rn>=lvl+1
)
SELECT rn
FROM x
ORDER BY 1;

#3: Using Self-Join

WITH x AS (
SELECT ROWNUM rn
FROM dual
CONNECT BY LEVEL<=4
)
SELECT a.rn
FROM x a JOIN x b ON a.rn>=b.rn
ORDER BY 1;

Naoto Katayama submitted one more elegant solution using MODEL clause:

#4: Using MODEL clause

SELECT RN
FROM (SELECT LEVEL rn
      FROM DUAL 
      CONNECT BY LEVEL<=4)
MODEL
PARTITION BY(ROWNUM AS par)
DIMENSION BY(0 AS dummy)
MEASURES(rn)
RULES ITERATE(100) UNTIL ITERATION_NUMBER+1>=rn[0]
(rn[ITERATION_NUMBER]=rn[0])
ORDER BY 1;

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3 Solutions to the 2018 Oracle SQL Puzzle of the Week #5

Puzzle of the Week #5:

Find the shortest and longest last names of the employees in each department.

 

  • If two or more employees tie for the shortest or longest name, pick the name that comes first in alphabetical order
  • Use hr.employees or scott.emp tables
  • Use a single SELECT statement only
  • Ideally, the solution should NOT rely on any sub-queries, CTEs  (WITH clause), or inline views
  • Exclude unknown (NULL) departments

Solutions:

#1. Using MIN() KEEP Group Function

SELECT department_id, 
 MIN(last_name) KEEP(DENSE_RANK FIRST 
                     ORDER BY LENGTH(last_name)) shortest,
 MIN(last_name) KEEP(DENSE_RANK FIRST 
                     ORDER BY LENGTH(last_name) DESC) longest
FROM hr.employees
WHERE department_id IS NOT NULL
GROUP BY department_id

#2. Using FIRST_VALUE Analytic Function and DISTINCT option

(Credit to Igor Shpungin)

SELECT DISTINCT department_id, 
   FIRST_VALUE(last_name) OVER(PARTITION BY department_id 
                               ORDER BY LENGTH(last_name))      shortest, 
   FIRST_VALUE(last_name) OVER(PARTITION BY department_id 
                               ORDER BY LENGTH(last_name) DESC) longest 
FROM hr.employees 
WHERE department_id IS NOT NULL 
ORDER BY 1

#3. Using MODEL clause

(Credit to Naoto Katayama)

SELECT department_id, shortest, longest
FROM hr.employees
WHERE department_id IS NOT NULL
MODEL
RETURN UPDATED ROWS
PARTITION BY (department_id)
DIMENSION BY (
 ROW_NUMBER()OVER(PARTITION BY department_id 
                  ORDER BY LENGTH(last_name), last_name) rn1,
 ROW_NUMBER()OVER(PARTITION BY department_id 
                  ORDER BY LENGTH(last_name) DESC, last_name) rn2)
MEASURES(last_name, 
         CAST(NULL AS VARCHAR2(25)) AS shortest, 
         CAST(NULL AS VARCHAR2(25)) AS longest)
RULES(
      shortest[0,0]=MAX(last_name)[1,ANY], 
      longest [0,0]=MAX(last_name)[ANY,1]
)
ORDER BY department_id

You can execute the above SQL statements in Oracle Live SQL environment.

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7 Solutions to 2018 Oracle SQL Puzzle of the Week #4

2018 Puzzle of the Week #4:

Calculate Mutual Funds’ Performance

For a given table fund_performance (see the CREATE TABLE statement below), calculate each fund’s performance over the 6-month period from Jan-2016 till Jun-2016.

  • Use a single SELECT statement
  • Performance is calculated as a multiplication of all the months’ performance rates for the given time frame
  • The solution should work for any time frame, so treat from-month and to-month as query parameters
  • DDL command:
  • CREATE TABLE fund_performance AS
    SELECT 1 fund_id, '2016-01' perf_month, 1.05 perf_rate
    FROM dual 
    UNION ALL
    SELECT 1, '2016-02', 1.02 FROM dual UNION ALL
    SELECT 1, '2016-03', 0.92 FROM dual UNION ALL
    SELECT 1, '2016-04', 1.01 FROM dual UNION ALL
    SELECT 1, '2016-05', 1.04 FROM dual UNION ALL
    SELECT 1, '2016-06', 0.95 FROM dual UNION ALL
    SELECT 2, '2016-01', 1.04 FROM dual UNION ALL
    SELECT 2, '2016-02', 1.03 FROM dual UNION ALL
    SELECT 2, '2016-03', 0.98 FROM dual UNION ALL
    SELECT 2, '2016-04', 1.04 FROM dual UNION ALL
    SELECT 2, '2016-05', 1.01 FROM dual UNION ALL
    SELECT 2, '2016-06', 0.98 FROM dual;
    

    Expected Result:

    FUND_ID Cumulative Performance
    1 0.98
    2 1.08

Solutions:

Solution #1: Using Math Formula (Sum of Logs = Log of Product)

SELECT fund_id, ROUND(EXP(SUM(LN(perf_rate))),2) "Cumulative Performance" 
FROM fund_performance 
WHERE perf_month BETWEEN '2016-02' AND '2016-05' 
GROUP BY fund_id 
ORDER BY 1

Solution #2: Using Dynamic XML Query with XMLTYPE

(Credit to: Katayama Naoto)

SELECT fund_id,  
       ROUND(TO_NUMBER(EXTRACTVALUE(XMLTYPE(
		dbms_xmlgen.getxml('SELECT '|| LISTAGG(perf_rate,'*') 
                                      WITHIN GROUP(ORDER BY perf_month)||' C 
				    FROM dual')),'/ROWSET/ROW/C')),2) AS "cumulative performance" 
FROM fund_performance 
WHERE perf_month BETWEEN '2016-01' AND '2016-06' 
GROUP BY fund_id 
ORDER BY 1

Solution #3: Using Dynamic XML with XMLQUERY

(Credit to: Boobal Ganesan)

SELECT fund_id, 
       ROUND(TO_NUMBER(XMLQUERY((LISTAGG(perf_rate,'*') 
	             WITHIN GROUP(ORDER BY fund_id)) RETURNING CONTENT)),2) "cumulative performance" 
FROM fund_performance 
WHERE perf_month BETWEEN '2016-01' AND '2016-06' 
GROUP BY fund_id

Solution #4: Using Model Clause with 2 measures

(Credit to: Katayama Naoto)

WITH x AS ( 
SELECT fund_id, cump, flag 
FROM fund_performance 
WHERE perf_month BETWEEN '2016-01' AND '2016-06' 
MODEL 
PARTITION BY (fund_id) 
DIMENSION BY (ROW_NUMBER()OVER(PARTITION BY fund_id ORDER BY perf_month) AS N) 
MEASURES(perf_rate, 
         CAST(0 AS NUMBER) AS cump, 
         CAST(0 AS NUMBER) AS flag) 
RULES( 
      cump[ANY] ORDER BY N = perf_rate[CV(N)] * NVL(cump[CV(N)-1],1),
      flag[ANY] ORDER BY N = NVL2(perf_rate[CV(N)+1],0,1)
     )
)
SELECT fund_id, ROUND(cump,2) "Cumulative Performance" 
FROM x
WHERE flag=1 
ORDER BY fund_id

Solution #5: Using Model clause with 1 measure

WITH d AS (
SELECT fund_id, perf_month, perf_rate, 
       RANK()OVER(PARTITION BY fund_id ORDER BY perf_month DESC) rk
FROM fund_performance 
WHERE perf_month BETWEEN '2016-01' AND '2016-06' 
), x AS ( 
SELECT * 
FROM d
MODEL 
  PARTITION BY (fund_id) 
  DIMENSION BY (ROW_NUMBER()OVER(PARTITION BY fund_id ORDER BY perf_month) AS N) 
  MEASURES     (perf_rate, rk, CAST(0 AS NUMBER) AS cump) 
  RULES        (cump[ANY] ORDER BY N = perf_rate[CV(N)] * NVL(cump[CV(N)-1],1) )
)
SELECT fund_id, ROUND(cump,2) "Cumulative Performance" 
FROM x
WHERE rk=1 
ORDER BY fund_id

Solution #6: Using Recursive CTE

WITH d AS (
SELECT fund_id, perf_rate, 
       ROW_NUMBER()OVER(PARTITION BY fund_id ORDER BY perf_month) rn,
       COUNT(*)OVER(PARTITION BY fund_id) cnt
FROM fund_performance 
WHERE perf_month BETWEEN '2016-01' AND '2016-06' 
), x(fund_id, cum_perf, rn, cnt) AS (
SELECT fund_id, perf_rate, 1, cnt
FROM d
WHERE rn=1
UNION ALL
SELECT x.fund_id, x.cum_perf*d.perf_rate, d.rn, d.cnt
FROM x JOIN d ON x.fund_id=d.fund_id
             AND x.rn+1=d.rn
)
SELECT fund_id, ROUND(cum_perf,2) "Cumulative Performance"
FROM x
WHERE rn=cnt

Solution #7: Using 12c new Function based WITH clause

(Credit to: Katayama Naoto)

WITH
FUNCTION product(list IN sys.odcinumberlist) RETURN NUMBER IS
   v_result NUMBER DEFAULT 1;
BEGIN
  FOR i IN list.FIRST .. list.LAST LOOP
      v_result := v_result * list(i);
  END LOOP;
  RETURN v_result;
END;
SELECT fund_id, product(CAST(COLLECT(perf_rate) AS sys.odcinumberlist)) AS "Cumulative Performance"
FROM fund_performance
GROUP BY fund_id
ORDER BY 1

You can execute first 6 of the above SQL statements in Oracle Live SQL environment.

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