I want to add three columns LDate
, TCount
and LApprover
by using Date
, Count
, id
columns which are present in the SQL database table.
The process involves specific SQL queries to extract relevant information for each of the new columns.
The initial step is to calculate the total count, denoted as TCount
, by executing the following SQL query
SELECT SUM(Count) AS TCount
FROM db
GROUP BY id;
I want to determine the maximum date, labeled as LDate
using the following SQL query:
SELECT MAX(Date) AS LDate
FROM db
GROUP BY id;
The logic for deriving the LApprover
column involves selecting the maximum approver based on conditions related to the LDate
and Date
columns. The SQL query is as follows:
SELECT
MAX(CASE
WHEN [LDate] = [Date] OR [LDate] IS NULL
THEN [Approver]
ELSE NULL
END) AS [LApprover]
FROM db
GROUP BY id;
Current table:
Date | Count | id | Approver |
---|---|---|---|
2022-04-13 14:49:15.0000000 | 1 | E3 | Sourav |
2020-04-13 17:49:15.0000000 | 1 | E3 | Soumyajit |
2019-05-15 19:49:15.0000000 | 1 | E3 | Raju |
Expected result:
LDate | Count | TCount | Approver | LApprover | Date | id |
---|---|---|---|---|---|---|
2022-04-13 14:49:15.0000000 | 1 | 3 | Sourav | Sourav | 2022-04-13 14:49:15.0000000 | E3 |
2022-04-13 14:49:15.0000000 | 1 | 3 | Soumyajit | Sourav | 2020-04-13 17:49:15.0000000 | E3 |
2022-04-13 14:49:15.0000000 | 1 | 3 | Raju | Sourav | 2019-05-15 19:49:15.0000000 | E3 |
I have tried this query, but I am not getting the expected result:
WITH CombinedCTE AS
(
SELECT
q1.id, q2.Count,
q1.[TCount], q2.Date, q1.LDate, q2.Approver
FROM
(SELECT
id, COUNT(Count) AS [TCount], MAX([Date] AS LDate
FROM
db
GROUP BY
id) q1
JOIN
(SELECT id, Count, [Date], Approver
FROM db) q2 ON q1.id = q2.id
WHERE
q2.id = 'E3'
)
SELECT
id, Approver, Count, TCount, Date, LDate,
MAX(CASE WHEN [LDate] IS NULL OR [LDate] = [Date] THEN [Approver] ELSE NULL END) AS [LApprover]
FROM
(SELECT * FROM CombinedCTE) SubQuery
GROUP BY
id, Approver, Count, TCount, Date, LDate
The result that I am getting is this:
LDate | Count | TCount | Approver | LApprover | LDate | id |
---|---|---|---|---|---|---|
2022-04-13 14:49:15.0000000 | 1 | 3 | Sourav | Sourav | 2022-04-13 14:49:15.0000000 | E3 |
2022-04-13 14:49:15.0000000 | 1 | 3 | Soumyajit | NULL | 2020-04-13 17:49:15.0000000 | E3 |
2022-04-13 14:49:15.0000000 | 1 | 3 | Raju | NULL | 2019-05-15 19:49:15.0000000 | E3 |
1条答案
按热度按时间mwkjh3gx1#
There is no need for such complex joining. You can just use window functions for this.
db<>fiddle