I have a query that looks like this:
SELECT
app.application_id,
j.job_number,
j.job_id,
j.job_title,
j.job_city,
j.job_state,
p.person_id AS candidate_id,
p.first_name,
p.last_name,
app.start_date,
ope1.percent_complete,
MAX(CASE
WHEN r.role_display_name = 'ENG - Recruiter' THEN
(SELECT CASE WHEN COUNT(last_name) = 0 THEN
'Unassigned'
ELSE
COUNT(last_name)
END AS uname
FROM users
JOIN job_roles ON job_roles.user_id = users.user_id
WHERE job_id = j.job_id
AND role_id = r.role_id
)
ELSE '' END) AS role_3
My problem is that COUNT(last_name) will not return 0, because there are no records returned, so there is no value of NULL. All makes sense, however I have tried wrapping it in IFNULL(), ISNULL() and none of them seem to fix this problem. How can I get it to return 0 when there are no records? Do I need another subquery inside the COUNT() aggregate? I would really like to not use another subquery....
If understand correctly what you want you can try to rewrite it this way
SELECT ...
,MAX(CASE WHEN r.role_display_name = 'ENG - Recruiter'
THEN COALESCE(NULLIF(
(
SELECT COUNT(last_name)
FROM users JOIN job_roles
ON job_roles.user_id = users.user_id
WHERE job_id = j.job_id
AND role_id = r.role_id
), 0), 'Unassigned')
ELSE ''
END) as role_3
...
Related
I am using below query to fetch the report for 10 different ids using union-all.Is there any way to reduce the query ?
SELECT
sc.consentid,
CASE
WHEN ue.userid IS NULL THEN 'No'
ELSE 'Yes'
END ,
sc.firstname,
sc.lastname,
CASE
WHEN SUM(time_on_page) > 0 THEN ROUND(SUM(time_on_page) / 60, 2)
ELSE 'No videos watched'
END AS timeonpage,
'ID1' ,
CASE
WHEN COUNT(DISTINCT COALESCE(article, video)) > 0 THEN COUNT(DISTINCT COALESCE(article, video))
ELSE 'no video in list watched'
END AS countvideoswatched
FROM
studentconsent AS sc
LEFT JOIN
useremails AS ue USING (email)
LEFT JOIN
masterstats_innodb AS m ON ue.userid = m.user_id
WHERE
(sc.email LIKE '%.it'
AND (sc.consentid IS NOT NULL
AND m.id IS NULL)
OR (m.id IS NOT NULL
AND m.timestamp >= '2020-12-01'
AND (video IN (SELECT
objectid
FROM
playlists
JOIN
playlisttoobjects USING (playlistid)
WHERE
unique_id = 'ID1'
AND objecttype = 'article'))))
GROUP BY sc.consentid
union all (query2 with differentid)....so on
Here I need to use union-all command to combine all 10 select queries with different id.Any way to reduce it?
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
Guys are you able to help me in this below case?
I'm wanna to select and change the results:
My code looks as follow:
$USER_STORY = $this->lang->line('application_status_change_user_story');
$TO_DO = $this->lang->line('application_status_change_to_do');
$IN_PROGRESS = $this->lang->line('application_status_change_in_progress');
$DONE = $this->lang->line('application_status_change_done');
$UNDONE = $this->lang->line('application_status_change_undone');
SELECT sum(project_has_tasks.estimated_hours) as val, project_has_tasks.name,
project_has_tasks.start_date,
project_has_tasks.due_date,
project_has_tasks.progress,
TIME_FORMAT(SEC_TO_TIME(sum(project_has_tasks.time_spent)),'%k.%i')
as total_time, users.id, users.firstname, users.lastname,(case
when 'user_story' then '$USER_STORY'
when 'to_do' then '$TO_DO'
when 'in_progress' then '$IN_PROGRESS'
when 'done' then '$DONE'
when 'undone' then '$UNDONE'
else 'NOTHING'
end) as status
FROM project_has_tasks
RIGHT JOIN users ON project_has_tasks.user_id
= users.id WHERE project_has_tasks.project_id ='99'
GROUP BY project_has_tasks.id ASC
What to modify to get a proper results? Now I'm getting NOTHING in status column, but no errors.
I think your case statement is wrong, There no condition is checking so only it return the last else statement
SELECT sum(project_has_tasks.estimated_hours) as val, project_has_tasks.name,
project_has_tasks.start_date,
project_has_tasks.due_date,
project_has_tasks.progress,
TIME_FORMAT(SEC_TO_TIME(sum(project_has_tasks.time_spent)),'%k.%i')
as total_time, users.id, users.firstname, users.lastname,(case
when project_has_tasks.status = 'user_story' then '$USER_STORY'
when project_has_tasks.status = 'to_do' then '$TO_DO'
when project_has_tasks.status = 'in_progress' then '$IN_PROGRESS'
when project_has_tasks.status = 'done' then '$DONE'
when project_has_tasks.status = 'undone' then '$UNDONE'
else 'NOTHING'
end) as status
FROM project_has_tasks
RIGHT JOIN users ON project_has_tasks.user_id
= users.id WHERE project_has_tasks.project_id ='99'
GROUP BY project_has_tasks.id ASC
I'm having a problem with the speed of a query - it's running at about 16 seconds at the moment, and I need to speed it up!
My table scheme is as follows:
Users:
id (int 10, primary key)
username (varchar 100)
password (varchar 100)
Users_meta:
id (int 10, primary key)
user (int 10)
meta (varchar 100)
value (longtext)
I need to return data from various rows in the user meta table (such as first name, last name etc.) as columns. This query does the job, but runs too slow:
SELECT
Users.id as id,
Users.username as username,
firstName.value as metaFirstName,
lastName.value as metaLastName,
userLevel.value as metaUsername,
employer.value as metaEmployer,
gto.value as metaGTO
FROM Users
LEFT JOIN (Users_meta as firstName) ON (firstName.user = Users.id AND firstName.meta = 'first_name')
LEFT JOIN (Users_meta as lastName) ON (lastName.user = Users.id AND lastName.meta = 'last_name')
LEFT JOIN (Users_meta as userLevel) ON (userLevel.user = Users.id AND userLevel.meta = 'user_level')
LEFT JOIN (Users_meta as employer) ON (employer.user = Users.id AND employer.meta = 'employer')
LEFT JOIN (Users_meta as gto) ON (gto.user = Users.id AND gto.meta = 'gto')
I also need to be able to add WHERE and ORDER BY clauses to the query.
Thanks for your help. :)
I don't know if this is faster. But maybe something like this:
SELECT
Users.id as id,
Users.username as username,
MAX(CASE WHEN Users_meta.meta = 'first_name' THEN Users_meta.value ELSE NULL END) AS metaFirstName,
MAX(CASE WHEN Users_meta.meta = 'last_name' THEN Users_meta.value ELSE NULL END) AS metaLastName,
MAX(CASE WHEN Users_meta.meta = 'user_level' THEN Users_meta.value ELSE NULL END) AS metaUsername,
MAX(CASE WHEN Users_meta.meta = 'employer' THEN Users_meta.value ELSE NULL END) AS metaEmployer,
MAX(CASE WHEN Users_meta.meta = 'gto' THEN Users_meta.value ELSE NULL END) AS metaGTO
FROM
Users
LEFT JOIN Users_meta
ON Users_meta.user = Users.id
GROUP BY
Users.ID,
Users.username
I would first add a compound index on table meta: (meta, user, value). Or (user, meta, value). These would sure help if you had additional WHERE conditions in your query.
The query has now to use (almost) all the data in table Users_meta so these indexes may not be used.
The longtext datatype is another problem. Are you sure you need so wide column there?
I have
users
------------------------
id | name | other_stuff.....
.
engagement
------------------------
user_id | type_code |
type_code is a varchar, but either A, B, C or NULL
[ EDIT for clarity: Users can have many engagements of each type code. SO I want to count how many they have of each. ]
I want to return ALL user rows, but with a count of A, B and C type engagements. E.g.
users_result
------------------------
user_id | user_name | other_stuff..... | count_A | count_B | count_C |
I've done quite a bit of searching, but found the following issues with other solutions:
The "other_stuff..." is actually grouped / concatenated results from a dozen other joins, so it's a bit of a monster already. So I need to be able to just add the additional fields to the pre-existing "SELECT ...... FROM users..." query.
The three additional required bits of data all come from the same engagement table, each with their own condition. I havent found anything to allow me to use the three conditions on the same related table.
Thanks
[edit]
I tried to simplify the question so people didn't have to look through loads of unnecessary stuff, but seems I might not have given enough info. Here is 'most' of the original query. I've taken out a lot of the selected fields as there are loads, but I've left most of the joins in so you can see basically what is actually going on.
SELECT
user.id,
user.first_name,
user.second_name,
GROUP_CONCAT(DISTINCT illness.id ORDER BY illness.id SEPARATOR ',' ) AS reason_for_treatment,
IF(ww_id=1000003, 1,'') as user_refused_program,
Group_CONCAT(DISTINCT physical_activity.name SEPARATOR ', ') AS programme_options,
COUNT(CASE WHEN engagement_item.type_code LIKE 'wm6%' THEN 1 ELSE NULL END) as count_A,
COUNT(CASE WHEN engagement_item.type_code LIKE 'wm12%' THEN 1 ELSE NULL END) as count_B,
COUNT(CASE WHEN engagement_item.type_code LIKE 'wm6%' THEN 1 ELSE NULL END) as count_C
FROM `user`
LEFT JOIN session AS session_induction ON (user.id = session_induction.user_id AND session_induction.session_type_id = 3)
LEFT JOIN stats AS stats_induction ON session_induction.id = stats_induction.session_id
LEFT JOIN session AS session_interim ON (user.id = session_interim.user_id AND session_interim.session_type_id = 4)
LEFT JOIN stats AS stats_interim ON session_interim.id = stats_interim.session_id
LEFT JOIN session AS session_final ON (user.id = session_final.user_id AND session_final.session_type_id = 5)
LEFT JOIN stats AS stats_final ON session_final.id = stats_final.session_id
LEFT JOIN user_has_illness ON user.ID = user_has_illness.user_id
LEFT JOIN illness ON user_has_illness.illness_id = illness.id
LEFT JOIN user_has_physical_activity ON user.ID = user_has_physical_activity.user_id
LEFT JOIN physical_activity ON user_has_physical_activity.physical_activity_id = physical_activity.id
LEFT JOIN engagement_item ON user.ID = engagement_item.user_ID
WHERE (user.INDUCTION_DATE>='2010-06-09' AND user.INDUCTION_DATE<='2011-06-09' AND user.archive!='1' )
GROUP BY user.id, engagement_item.user_id
It's worth mentioning that it works fine - returns all users with all details required. Except for the count_A B and C cols.
[edit added slightly more simplified query below]
Stripped out the unrelated joins and selects.
SELECT
user.id,
user.first_name,
COUNT(CASE WHEN engagement_item.type_code LIKE 'wm6%' THEN 1 ELSE NULL END) as count_A,
COUNT(CASE WHEN engagement_item.type_code LIKE 'wm12%' THEN 1 ELSE NULL END) as count_B,
COUNT(CASE WHEN engagement_item.type_code LIKE 'wm6%' THEN 1 ELSE NULL END) as count_C
FROM `user`
LEFT JOIN engagement_item ON user.ID = engagement_item.user_ID
GROUP BY user.id, engagement_item.user_id
SELECT e.user_id, u.name,
COUNT(CASE type_code WHEN 'A' THEN 1 ELSE NULL END) as count_A,
COUNT(CASE type_code WHEN 'B' THEN 1 ELSE NULL END) as count_B,
COUNT(CASE type_code WHEN 'C' THEN 1 ELSE NULL END) as count_C
FROM engagement e join users u on (e.user_id = u.id)
GROUP BY e.user_id, u.name
I would use COUNT instead of SUM just because that is what it is made for, counting things when not NULL.
SELECT
user.id,
user.first_name,
user.second_name,
GROUP_CONCAT(DISTINCT illness.id ORDER BY illness.id SEPARATOR ',' ) AS reason_for_treatment,
IF(ww_id=1000003, 1,'') as user_refused_program,
Group_CONCAT(DISTINCT physical_activity.name SEPARATOR ', ') AS programme_options,
ei.count_A, ei.count_B, ei.count_C
FROM `user`
LEFT JOIN ( SELECT user_id
, COUNT(CASE WHEN engagement_item.type_code LIKE 'wm6%' THEN 1 ELSE NULL END) as count_A
, COUNT(CASE WHEN engagement_item.type_code LIKE 'wm12%' THEN 1 ELSE NULL END) as count_B
, COUNT(CASE WHEN engagement_item.type_code LIKE 'wm6%' THEN 1 ELSE NULL END) as count_C
FROM engagement_item
GROUP BY userid ) ei
LEFT JOIN session AS session_induction ON (user.id = session_induction.user_id AND session_induction.session_type_id = 3)
LEFT JOIN stats AS stats_induction ON session_induction.id = stats_induction.session_id
LEFT JOIN session AS session_interim ON (user.id = session_interim.user_id AND session_interim.session_type_id = 4)
LEFT JOIN stats AS stats_interim ON session_interim.id = stats_interim.session_id
LEFT JOIN session AS session_final ON (user.id = session_final.user_id AND session_final.session_type_id = 5)
LEFT JOIN stats AS stats_final ON session_final.id = stats_final.session_id
LEFT JOIN user_has_illness ON user.ID = user_has_illness.user_id
LEFT JOIN illness ON user_has_illness.illness_id = illness.id
LEFT JOIN user_has_physical_activity ON user.ID = user_has_physical_activity.user_id
LEFT JOIN physical_activity ON user_has_physical_activity.physical_activity_id = physical_activity.id
LEFT JOIN engagement_item ON user.ID = engagement_item.user_ID
WHERE (user.INDUCTION_DATE>='2010-06-09' AND user.INDUCTION_DATE<='2011-06-09' AND user.archive!='1' )
GROUP BY user.id, engagement_item.user_id, ei.count_A, ei.count_B, ei.count_C
Something like this perhaps?
select e.user_id, u.name,
sum(case e.type_code when 'A' then 1 else 0 end) as count_A,
sum(case e.type_code when 'B' then 1 else 0 end) as count_B,
sum(case e.type_code when 'C' then 1 else 0 end) as count_C
from engagement e join users u on (e.user_id = u.id)
group by e.user_id, u.name
The interesting part is the use of CASE inside the SUM to split the counting into three chunks.