here i am joining two tables and this code fails to get the count of c.status
when c.status='Absent'
SELECT d.empReferenceID,
Count(c.status)
FROM emp_tbl d
LEFT JOIN empattendance c
on d.empReferenceID = c.RefrenceID
and c.status='PRESENT'
and month(c.CreatedOn)=5
and year(c.CreatedOn)=2017
where c.RefrenceID not in ('2075671')
GROUP BY d.empReferenceID;
Don't put conditions on an outer-joined table in the WHERE clause. Your where c.RefrenceID not in ('2075671') dismisses all outer-joined records and turns the join into an inner join.
Maybe you are looking for conditional aggregation, where you count different statuses and show the counts in the same result row:
SELECT d.empReferenceID,
Count(c.status) AS count_all,
Sum(c.status = 'PRESENT') AS count_present,
Sum(c.status = 'Absent') AS count_absent
FROM emp_tbl d
LEFT JOIN empattendance c
ON d.empReferenceID = c.RefrenceID
AND month(c.CreatedOn)=5
AND year(c.CreatedOn)=2017
WHERE d.empReferenceID not in ('2075671')
GROUP BY d.empReferenceID;
The SUM lines make use of MySQL's true = 1/ false = 0 by the way. You'd achieve the same with standard SQL: Sum(CASE WHEN c.status = 'PRESENT' THEN 1 ELSE 0 END) or Count(CASE WHEN c.status = 'PRESENT' THEN 1 END).
Related
In below query (Mentors) are 13 which shows me 26, while (SchoolSupervisor) are 5 which shows me 10 which is wrong. it is because of the Evidence which having 2 evidance, because of 2 evidence the Mentors & SchoolSupervisor values shows me double.
please help me out.
Query:
select t.c_id,t.province,t.district,t.cohort,t.duration,t.venue,t.v_date,t.review_level, t.activity,
SUM(CASE WHEN pr.p_association = "Mentor" THEN 1 ELSE 0 END) as Mentor,
SUM(CASE WHEN pr.p_association = "School Supervisor" THEN 1 ELSE 0 END) as SchoolSupervisor,
(CASE WHEN count(file_id) > 0 THEN "Yes" ELSE "No" END) as evidence
FROM review_m t , review_attndnce ra
LEFT JOIN participant_registration AS pr ON pr.p_id = ra.p_id
LEFT JOIN review_files AS rf ON rf.training_id = ra.c_id
WHERE 1=1 AND t.c_id = ra.c_id
group by t.c_id, ra.c_id order by t.c_id desc
enter image description here
You may perform the aggregations in a separate subquery, and then join to it:
SELECT
t.c_id,
t.province,
t.district,
t.cohort,
t.duration,
t.venue,
t.v_date,
t.review_level,
t.activity,
pr.Mentor,
pr.SchoolSupervisor,
rf.evidence
FROM review_m t
INNER JOIN review_attndnce ra
ON t.c_id = ra.c_id
LEFT JOIN
(
SELECT
p_id,
COUNT(CASE WHEN p_association = 'Mentor' THEN 1 END) AS Mentor,
COUNT(CASE WHEN p_association = 'School Supervisor' THEN 1 END) AS SchoolSupervisor,
FROM participant_registration
GROUP BY p_id
) pr
ON pr.p_id = ra.p_id
LEFT JOIN
(
SELECT
training_id,
CASE WHEN COUNT(file_id) > 0 THEN 'Yes' ELSE 'No' END AS evidence
FROM review_files
GROUP BY training_id
) rf
ON rf.training_id = ra.c_id
ORDER BY
t.c_id DESC;
Note that this also fixes another problem your query had, which was that you were selecting many columns which did not appear in the GROUP BY clause. Under this refactor, there is nothing wrong with your current select, because the aggregation take place in a separate subquery.
try adding this to the WHERE part of your query
AND pr.p_id IS NOT NULL AND rf.training_id IS NOT NULL
You can add a group by pr.p_id to remove the duplicate records there. Since, the group by on pr is not present as of now, there might be multiple records of same p_id for same ra
group by t.c_id, ra.c_id, pr.p_id order by t.c_id desc
another annoying student here!
Today I spend hours trying to combine (select) 2 already joined SQL outputs + the ID of the original table in a single table output. which ultimately resulted in this query:
SELECT * FROM(
SELECT fd1.User_idUser,avg(fd1.caloryIntake)
AS 'workdays'
FROM fact_dailysnapshot fd1
INNER JOIN dim_day dd1 ON dd1.DATE_SK = fd1.DATE_SK
WHERE dd1.weekend_ind = 'N'
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser) A,
(SELECT avg(fd1.caloryIntake) AS 'weekend'
FROM fact_dailysnapshot fd1
INNER
JOIN dim_day dd1 ON dd1.DATE_SK = fd1.DATE_SK
WHERE dd1.weekend_ind = 'Y'
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser) B;
Which translates into…
Now this is a false result, the second column gives an almost constant value for all user entries. I think this must be solved with some kind of EXTRA join but I literally ran out of ideas. Thanks in advance..!
Your JOIN is missing an ON clause to relate dUser_idUser.
But, the simplest way to write the query uses conditional aggregation:
SELECT fd1.User_idUser,
avg(case when dd1.weekend_ind = 'N' then fd1.caloryIntake end) as weekday_avg,
avg(case when dd1.weekend_ind = 'Y' then fd1.caloryIntake end) as weekend_avg
FROM fact_dailysnapshot fd1 INNER JOIN
dim_day dd1
ON dd1.DATE_SK = fd1.DATE_SK
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser;
This is one query instead of two.
If I understand correctly, this is what you are looking for:
SELECT A.User_idUser, A.workdays, B.weekend
FROM (
SELECT fd1.User_idUser, avg(fd1.caloryIntake) AS 'workdays'
FROM fact_dailysnapshot fd1
INNER JOIN dim_day dd1
ON dd1.DATE_SK = fd1.DATE_SK
WHERE dd1.weekend_ind = 'N'
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser) A
JOIN
(SELECT fd1.User_idUser, avg(fd1.caloryIntake) AS 'weekend'
FROM fact_dailysnapshot fd1
INNER JOIN dim_day dd1
ON dd1.DATE_SK = fd1.DATE_SK
WHERE dd1.weekend_ind = 'Y'
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser) B
ON A.User_idUser = B.User_idUser
Each query gives you all users by ID and their workdays or weekends. You need to JOIN the results of the two query on the user ID.
I'm starting out with this query, which gives me back 8 records with a "claimed" status. I'm looking to see if any of the addresses in the invites-from-address column are different from that in the moves-from-address column :
SELECT i.id, i.company_id, i.status,
ia_f.base_street as "invites-from-address", a_f.base_street as "moves-from-address",
ia_t.base_street as "invites-to-address", a_t.base_street as "moves-to-address", i.`mover_first_name`,
i.mover_last_name, i.`to_address_id`
FROM invites i
JOIN moves m ON i.id = m.`claimed_invite_id`
JOIN `invite_addresses` ia_f ON ia_f.id = i.`from_address_id`
JOIN addresses a_f ON a_f.id = m.from_address_id
JOIN `invite_addresses` ia_t ON ia_t.id = i.to_address_id
JOIN addresses a_t ON a_t.id = m.to_address_id
WHERE i.`company_id` = 1040345
GROUP BY id
What I'm trying to do in this query below is to create an average_discrepancy column on the fly that shows the proportion of addresses that differ between invites-from-address and moves-from-address. I was able to successfully check for address discrepancies by using a WHERE clause that checks that ia_f.base_street is not equal to a_f.base_street (which are aliased to the columns invites-from-address and moves-from-address respectively) but when I put this WHERE clause inside the count function in my SELECT cause it doesn't work. Is it because I can't place a WHERE clause inside a SELECT or a count function or both? And is there also a problem with trying to divide the results of two calls to the count function in my SELECT clause ?
SELECT i.id, i.company_id, i.status,
count(WHERE ia_f.base_street != a_f.base_street)/count(i.status="claimed") as "average_discrepancy",
ia_f.base_street as "invites-from-address", a_f.base_street as "moves-from-address",
ia_t.base_street as "invites-to-address", a_t.base_street as "moves-to-address",
i.`mover_first_name`,
i.mover_last_name, i.`to_address_id`
FROM invites i
JOIN moves m ON i.id = m.`claimed_invite_id`
JOIN `invite_addresses` ia_f ON ia_f.id = i.`from_address_id`
JOIN addresses a_f ON a_f.id = m.from_address_id
JOIN `invite_addresses` ia_t ON ia_t.id = i.to_address_id
JOIN addresses a_t ON a_t.id = m.to_address_id
WHERE i.`company_id` = 1040345
AND i.status = "claimed"
You need to put this into a SUM instead of a COUNT. Something like this would do the trick:
SELECT i.id, i.company_id, i.status,
SUM(CASE WHEN ia_f.base_street != a_f.base_street THEN 1 ELSE 0 END)/ SUM(CASE WHEN i.status='claimed' THEN 1 ELSE 0 END) as 'average_discrepancy',
ia_f.base_street as 'invites-from-address',
a_f.base_street as 'moves-from-address',
ia_t.base_street as 'invites-to-address',
a_t.base_street as 'moves-to-address',
i.mover_first_name,
i.mover_last_name,
i.to_address_id
FROM invites i
JOIN moves m ON i.id = m.claimed_invite_id
JOIN invite_addresses ia_f ON ia_f.id = i.from_address_id
JOIN addresses a_f ON a_f.id = m.from_address_id
JOIN invite_addresses ia_t ON ia_t.id = i.to_address_id
JOIN addresses a_t ON a_t.id = m.to_address_id
WHERE i.company_id = 1040345
AND i.status = 'claimed'
I want to do conditional join on two tables and wanted to join with highest status in the second table. The status values are Assigned, Booked, Delivery and Closed.
SELECT
CPC.CpcID, StatusFlow = CPC.Status, Orders.CarModel, EnquiryLog.EnquiryStatus
FROM
CPC
INNER JOIN
Orders ON CPC.CpcID = Orders.CpcID
INNER JOIN
EnquiryLog ON CPC.CpcID = EnquiryLog.CpcID
WHERE
CPC.CpcID = '24092015/12'
So in this case it should show only one row with EnquiryStatus 'Delivery' but based on my query the result is:
SQL query output:
If I got it the right way:
SELECT CPC.CpcID, StatusFlow = CPC.Status, Orders.CarModel, ca.EnquiryStatus
FROM CPC
INNER JOIN Orders ON CPC.CpcID = Orders.CpcID
CROSS APPLY(SELECT TOP 1 * FROM EnquiryLog WHERE CPC.CpcID = EnquiryLog.CpcID
ORDER BY CASE EnquiryStatus
WHEN 'CLOSED' THEN 1
WHEN 'DELIVERY' THEN 2
WHEN 'BOOKED' THEN 3
WHEN 'ASSIGNED' THEN 4 END) ca
WHERE CPC.CpcID='24092015/12'
I need to count how many times a couple categories appear in a column. They're storred as strings like Sports, Medicine, the column name is ct.category_name.
This is the query i'm adapting. I'd like a column for every category type.
select co.order_id, co.catalog_item_id, ct.category_name
from customer_order as co
join item_category as ic on (ic.item_id = co.customer_id )
join category_translations as ct on (ct.category_id = ic.category_id)
where co.paid = 1 and co.customer_id = 22500 and ct.locale = "en"
When I put this in the select statement it counts everything, I can see why, but I'm not sure which direction to go.
count(CASE
WHEN ct.category_name = "sports" THEN ct.category_name
ELSE 0
end) AS 'sports'
Again, i'd like the count for each string to be its own column. Any help would be much appreciated.
When I try:
select co.order_id, co.catalog_item_id, ct.category_name
, SUM(ct.category_name = "sports") AS `sports`
, SUM(ct.category_name = "medici") AS `medicine`
from customer_order as co
join item_category as ic on (ic.item_id = co.customer_id )
join category_translations as ct on (ct.category_id = ic.category_id)
where co.paid = 1 and co.customer_id = 22500 and ct.locale = "en"
It counts sports twice. Wrong place for the when? Results:
`23115 271708 sports 483 483`
It counts everything because COUNT increments its value for every not null value, and 0 is not NULL.
Possible solutions:
Replace 0 with NULL OR
Use SUM instead of COUNT:
SUM(CASE
WHEN ct.category_name = "sports" THEN 1
ELSE 0
end) AS 'sports'
or even
SUM(ct.category_name = "sports") AS `sports`