SQL中Pivot表如何创建总行和总列

Question

I have created a pivot table using SQL but want to add column and row totals. How am I able to achieve this using SQL. This is the following code I have for my pivot table.

SELECT * from 
(
    select committee, status, id from EMPLOYEES
) piv

pivot (
count (id)
for status in ('Resume Review', 'Interviewing', 'Coding Challenge', 'Hired')
) pivot_table;

My Current Table:

Committee   Resume Review   Interviewing    Take Home Challenge  
UI/UX              3             2                  1              
Finance            0             2                  2              
Marketing          2             4                  1          

Desired Table:

Committee   Resume Review   Interviewing    Take Home Challenge  Total 
UI/UX              3             2                  1              6
Finance            0             2                  2              4
Marketing          2             4                  1              7
Total              5             8                  4              17

Answer 1

If you are open to not using the PIVOT operator, we can use conditional aggregation to achieve your result:

SELECT
    Committee,
    COUNT(CASE WHEN status = 'Resume Review'    THEN 1 END) AS "Resume Review",
    COUNT(CASE WHEN status = 'Interviewing'     THEN 1 END) AS "Interviewing",
    COUNT(CASE WHEN status = 'Coding Challenge' THEN 1 END) AS "Coding Challenge",
    COUNT(*) AS Total
FROM EMPLOYEES
WHERE status IN ('Resume Review', 'Interviewing', 'Coding Challenge')
GROUP BY Committee;

Answer 2

use this

SELECT * from 
(
    select committee, status, id from EMPLOYEES
) piv

pivot (
count (id)
for status in ('Resume Review', 'Interviewing', 'Coding Challenge', 'Hired')
) pivot_table;

union all 

SELECT 'Total' as committee,
sum(Resume Review) as Resume Review,
sum(Interviewing) as Interviewing,
sum(Coding Challenge) as Coding Challenge,
sum(Hired) as Hired,
sum(Resume Review) + sum(Interviewing) +sum(Coding Challenge) + sum(Hired) as Total 
from 
(
    select committee, status, id from EMPLOYEES
) piv

pivot (
count (id)
for status in ('Resume Review', 'Interviewing', 'Coding Challenge', 'Hired')
) pivot_table;

Answer 3

You can use conditional aggregation and then ROLLUP to get a total row and then add the column values together to get a total column:

SELECT r.*,
       resume_review + interviewing + coding_challenge + hired AS total
FROM   (
  SELECT CASE GROUPING_ID(committee)
         WHEN 0
         THEN committee
         ELSE 'Total'
         END AS committee,
         COUNT(CASE status WHEN 'Resume Review'    THEN id END) AS resume_review,
         COUNT(CASE status WHEN 'Interviewing'     THEN id END) AS interviewing,
         COUNT(CASE status WHEN 'Coding Challenge' THEN id END) AS coding_challenge,
         COUNT(CASE status WHEN 'Hired'            THEN id END) AS hired
  FROM   EMPLOYEES
  GROUP BY ROLLUP(committee)
) r

Or, by including all the columns in a conditional aggregation to get the column-wise totals:

SELECT CASE GROUPING_ID(committee)
       WHEN 0
       THEN committee
       ELSE 'Total'
       END AS committee,
       COUNT(CASE status WHEN 'Resume Review'    THEN id END) AS resume_review,
       COUNT(CASE status WHEN 'Interviewing'     THEN id END) AS interviewing,
       COUNT(CASE status WHEN 'Coding Challenge' THEN id END) AS coding_challenge,
       COUNT(CASE status WHEN 'Hired'            THEN id END) AS hired,
       COUNT(
         CASE
         WHEN status IN (
                'Resume Review', 'Interviewing', 'Coding Challenge', 'Hired'
              )
         THEN id
         END
       ) AS total
FROM   EMPLOYEES
GROUP BY ROLLUP(committee)

Or, using PIVOT and then aggregating and using ROLLUP :

SELECT CASE GROUPING_ID(committee)
       WHEN 0
       THEN committee
       ELSE 'Total'
       END AS committee,
       SUM(resume_review) AS resume_review,
       SUM(interviewing) AS interviewing,
       SUM(coding_challenge) AS coding_challenge,
       SUM(hired) AS hired,
       SUM(resume_review + interviewing + coding_challenge + hired) AS total
FROM   (SELECT committee, status, id FROM EMPLOYEES)
PIVOT  (
  COUNT(id)
  FOR status IN (
    'Resume Review'    AS resume_review,
    'Interviewing'     AS interviewing,
    'Coding Challenge' AS coding_challenge,
    'Hired'            AS hired
  )
)
GROUP BY ROLLUP(committee);

Which, for the sample data:

CREATE TABLE employees (id PRIMARY KEY, committee, status) AS
SELECT LEVEL +  0, 'UI/UX',     'Resume Review'    FROM DUAL CONNECT BY LEVEL <= 3 UNION ALL
SELECT LEVEL +  3, 'UI/UX',     'Interviewing'     FROM DUAL CONNECT BY LEVEL <= 2 UNION ALL
SELECT LEVEL +  5, 'UI/UX',     'Coding Challenge' FROM DUAL CONNECT BY LEVEL <= 1 UNION ALL
SELECT LEVEL +  6, 'Finance',   'Interviewing'     FROM DUAL CONNECT BY LEVEL <= 2 UNION ALL
SELECT LEVEL +  8, 'Finance',   'Coding Challenge' FROM DUAL CONNECT BY LEVEL <= 2 UNION ALL
SELECT LEVEL + 10, 'Marketing', 'Resume Review'    FROM DUAL CONNECT BY LEVEL <= 2 UNION ALL
SELECT LEVEL + 12, 'Marketing', 'Interviewing'     FROM DUAL CONNECT BY LEVEL <= 4 UNION ALL
SELECT LEVEL + 16, 'Marketing', 'Coding Challenge' FROM DUAL CONNECT BY LEVEL <= 1;

All the queries output:

COMMITTEE	RESUME_REVIEW	INTERVIEWING	CODING_CHALLENGE	HIRED	TOTAL
Finance	0	2	2	0	4
Marketing	2	4	1	0	7
UI/UX	3	2	1	0	6
Total	5	8	4	0	17

db<>fiddle here