Avoid third table multiplying results - sql

I have three tables.
Defect: Main table used to store defects found.
FollowUp: Table that stores followups to a specific Defect.
Defect_Attach: Related table used all photo attachments for Defects and FollowUps.
How can I get dates for all photo attachments?
Some of these photos were taken for a defect, then at a later date, more photos were related to the defect during a followup.
The results I'm trying to get would look something like this:
or
So far my query looks like this:
SELECT d.GUID
,p.ATTACHMENTID
,p.REL_OBJECTID
,p.CONTENT_TYPE
,p.ATT_NAME
,p.DATA_SIZE
,d.DateObserved as 'Defect Date'
--,f.DateObserved as 'FollowUp Date'
FROM [ECIMUSR].[DEFECT__ATTACH] p
LEFT OUTER JOIN ECIMUSR.DEFECT d on d.ObjectID = p.REL_OBJECTID
--LEFT JOIN ECIMUSR.FOLLOWUP f on f.DefectGUID = d.GUID
WHERE
d.GUID = '{E511EA70-F5E5-11E4-8189-6C3BE50ED71F}'
ORDER BY [Defect Date]
But as soon as I try joining my third table (FOLLOWUP), my results multiply.
UPDATE:
Results:
SELECT p.ATT_NAME
,d.DateObserved as 'Defect Date'
--,f.DateObserved as 'FollowUp Date'
FROM [ECIMUSR].[DEFECT__ATTACH] p
LEFT OUTER JOIN ECIMUSR.DEFECT d on d.ObjectID = p.REL_OBJECTID
--LEFT JOIN ECIMUSR.FOLLOWUP f on f.DefectGUID = d.GUID
WHERE
d.GUID = '{E511EA70-F5E5-11E4-8189-6C3BE50ED71F}'
ORDER BY [Defect Date]
Joining THIRD Table:
SELECT p.ATT_NAME
,d.DateObserved as 'Defect Date'
,f.DateObserved as 'FollowUp Date'
FROM [ECIMUSR].[DEFECT__ATTACH] p
LEFT OUTER JOIN ECIMUSR.DEFECT d on d.ObjectID = p.REL_OBJECTID
LEFT JOIN ECIMUSR.FOLLOWUP f on f.DefectGUID = d.GUID
WHERE
d.GUID = '{E511EA70-F5E5-11E4-8189-6C3BE50ED71F}'
ORDER BY [Defect Date]

SELECT
d.DateObserved AS defect_date,
p.ATT_NAME AS photo_name,
f.DateObserved AS follow_up_date
FROM
(
SELECT
*,
ROW_NUMBER() OVER (PARTITION BY REL_OBJECTID
ORDER BY ATT_NAME) AS ordinal
FROM
ECIMUSR.DEFECT__ATTACH
)
p
FULL OUTER JOIN
(
SELECT
*,
ROW_NUMBER() OVER (PARTITION BY DefectGUID
ORDER BY DateObserved) AS ordinal
FROM
ECIMUSR.FOLLOWUP
)
f
ON f.DefectGUID = p.REL_OBJECTID
AND f.ordinal = p.ordinal
RIGHT JOIN
ECIMUSR.DEFECT d
ON d.ObjectID = COALESCE(f.DefectGUID, p.REL_OBJECTID)
Would give something like...
defect_date | photo_name | follow_up_date
-------------+-----------------------------+----------------
2014-12-19 | photo1.jpg | 2015-01-16
2014-12-19 | PhotoFollowUp1_20150117.jpg | 2015-03-19
2014-12-19 | PhotoFollowUp1_20150324.jpg | 2015-04-17
2014-12-19 | PhotoFollowUp1_20150417.jpg | NULL
2014-12-19 | PhotoFollowUp2_20150324.jpg | NULL
The photo names and the follow up dates have nothing to do with each others. they're just in alphabetical order with gaps if one list is longer than the other.

Related

How count same columns from few tables in one SQL query

I have five tables, TDetective, TMonths, TProduct1, TProduct2 and TProduct3. I want to have a result set with four columns:
first is Detective name
second is count - how many TProduct1 are assigned to this Detective in special months
third is count - how many TProduct2 are assigned to this Detective in special months
and fourth is count - how many TProduct3 are assigned to this Detective in special months.
Please help me.
TDetective
|id |
|Detective|
TMonths
|id |
|Months |
TProduct1
|id |
|RequestDay|
|Mobile|
|Operator|
|Subjects|
|OccurrenceMode|
|Detective|
|Months|
TProduct2
|id |
|RequestDay|
|Mobile|
|Operator|
|Subjects|
|OccurrenceMode|
|Detective|
|Months|
TProduct3
|id |
|RequestDay|
|Mobile|
|Operator|
|Subjects|
|OccurrenceMode|
|Detective|
|Months|
My SQL query looks like this:
select
TDetective.Detective,
count(TProduct1.id) as countOfDetectiveP1
count(TProduct2.id) as countOfDetectiveP2
count(TProduct3.id) as countOfDetectiveP3
from
TDetective
left outer join
TProduct1 on TDetective.Detective = TProduct1.Detective
where
TProduct1.Months in (select months from TMonths)
left outer join
TProduct2 on TDetective.Detective = TProduct2.Detective
where
TProduct2.Months in (select months from TMonths)
left outer join
TProduct3 on TDetective.Detective = TProduct3.Detective
where
TProduct3.Months in (select months from TMonths)
group by
Detective.Detective
order by
Detective
Many thanks
I would cross join the first two tables to get a row for every detective and month. Then use correlated subqueries to fill in the rest of the information:
select d.id, d.month,
(select count(*)
from product1 p1
where p1.detective = d.id and
p1.month = m.month
),
(select count(*)
from product2 p2
where p2.detective = d.id and
p2.month = m.month
),
(select count(*)
from product3 p3
where p3.detective = d.id and
p3.month = m.month
)
from detective d cross join
months m;
You can add a where clause to the outer query to filter for particular detectives or months.
select d.Detective,
(select count(*)
from P118 p1
where p1.detective = d.Detective and
p1.Months in (select months from TempMonths)
),
(select count(*)
from P119 p2
where p2.detective = d.Detective and
p2.Months in (select months from TempMonths)
),
(select count(*)
from P120 p3
where p3.detective = d.Detective and
p3.Months in (select months from TempMonths)
)
from Detective d
order by Detective

Group By Dynamic Ranges in SQL (cockroachdb/postgres)

I have a query that looks like
select s.session_id, array_agg(sp.value::int8 order by sp.value::int8) as timestamps
from sessions s join session_properties sp on sp.session_id = s.session_id
where s.user_id = '6f129b1c-43a6-4871-86f6-1749bfe1a5af' and sp.key in ('SleepTime', 'WakeupTime') and value != 'None' and value::int8 > 0
group by s.session_id
The result would look like
f321c813-7927-47aa-88c3-b3250af34afa | {1588499070,1588504354}
f38a8841-c402-433d-939d-194eca993bb6 | {1588187599,1588212803}
2befefaf-3b31-46c9-8416-263fa7b9309d | {1589912247,1589935771}
3da64787-65cd-4305-b1ac-1393e2fb11a9 | {1589741569,1589768453}
537e69aa-c39d-484d-9108-2f2cd956d4ee | {1588100398,1588129026}
5a9470ff-f930-491f-a57d-8c089e535d53 | {1589140368,1589165092}
The first column is a unique id and the second column is from and to timestamps.
Now I have a third table which has some timeseries data
records
------------------------
timestamp | name | value
Is it possible to find avg(value) from from records in group of session_ids over the from and to timestamps.
I could run a for loop in the application and do a union to get the desired result. But I was wondering if that is possible in postgres or cockroachdb
I wouldn't aggregate the two values but use two joins to find them. That way you can be sure which value belongs to which property.
Once you have that, you can join that result to your records table.
with ranges as (
select s.session_id, st.value as from_value, wt.value as to_value
from sessions s
join session_properties st on sp.session_id = s.session_id and st.key = 'SleepTime'
join session_properties wt on wt.session_id = s.session_id and wt.key = 'WakeupTime'
where s.user_id = '6f129b1c-43a6-4871-86f6-1749bfe1a5af'
and st.value != 'None' and wt.value::int8 > 0
and wt.value != 'None' and wt.value::int8 > 0
)
select ra.session_id, avg(rc.value)
from records rc
join ranges ra
on ra.from_value >= rc.timewstamp
and rc.timestamp < ra.to_value
group by ra.session_id;

Can't order query correctly

A while ago I requested help to code a LEFT JOIN filtering in a particular way that the result postition the desired value in the first row.
Need to retrieve table's last inserted/updated record with some exclusions
The thing now is that there are many cases which are mixing data. The scenario is that on the same table we have 2 values that we need to organize on different columns. The PO_ID is unique, but can have 1 or more values on the other tables, and for this particular case 1 PO_ID has 3 SHIP_ID_CUS values. We only need 1 PO_ID per row (no duplicates) that is way we used the MAX() and GROUP BY.
Here is a piece of the code that I think cause issues.
select
z.po_id,
max(scdc.ship_id) as ship_id_cdc,
max(lscdc.ship_evnt_cd) as last_event_cdc,
max(lscdc.ship_evnt_tms) as event_tms_cdc,
max(scus.SHIP_ID) as ship_id_cus,
max(lscus.ship_evnt_cd) as last_event_cus,
max(lscus.ship_evnt_tms) as event_tms_cus
from TABLE.A z
left join (select distinct po_id, iltc.ship_id, s.ship_to_loc_code from TABLE.B iltc inner join TABLE.C s on iltc.ship_id=s.ship_id and iltc.ship_to_loc_code=s.ship_to_loc_code and s.ship_to_ctry<>' ') AS A ON z.po_id = a.po_id
left JOIN TABLE.C scus ON A.SHIP_ID = scus.SHIP_ID AND A.SHIP_TO_LOC_CODE = scus.SHIP_TO_LOC_CODE and scus.loc_type = 'CUS' AND DAYS(scus.shipment_tms)+10 >= DAYS(z.ship_tms)
left JOIN TABLE.C scdc ON A.SHIP_ID = scdc.SHIP_ID AND A.SHIP_TO_LOC_CODE = scdc.SHIP_TO_LOC_CODE and scdc.loc_type = 'CDC' AND DAYS(scdc.shipment_tms)+10 >= DAYS(z.ship_tms)
left join
( select ship_id_856, ship_to_loc_cd856, ship_evnt_cd, ship_evnt_tms, carr_tracking_num, event_srv_lvl
, row_number() over(partition by ship_id order by updt_job_tms desc) as RN
FROM TABLE.D
WHERE LEFT(ship_evnt_cd, 1) <> '9') lscus
ON lscus.ship_id_856=scus.ship_id and scus.ship_to_loc_code=lscus.ship_to_loc_cd856 and lscus.rn = 1
left join
( select ship_id_856, ship_to_loc_cd856, ship_evnt_cd, ship_evnt_tms, carr_tracking_num, event_srv_lvl
, row_number() over(partition by ship_id order by updt_job_tms desc) as RN
FROM TABLE.D
WHERE LEFT(ship_evnt_cd, 1) <> '9') lscdc
ON lscdc.ship_id_856=scdc.ship_id and lscdc.ship_to_loc_cd856=scdc.ship_to_loc_code and lscdc.rn = 1
WHERE
z.po_id = 'T1DLDC'
GROUP BY z.po_id
By searching that condition we get the following result
The problem is that if we search directly on the TABLE.D, the last event that we need (with last update record tms) is another one (X1) and somehow the date is incorrect.
What is even more weird, is that if we search for the ship_id_cus on the original query, we get the correct code but still with a wrong date...
WHERE
--z.po_id = 'T1DLDC'
scus.ship_id = 'D30980'
GROUP BY z.po_id
I tried other logic changes like modifying the left joins to search on a subquery.
left JOIN ( select * from TABLE.C order by updt_job_tms desc) scus ON A.SHIP_ID = scus.SHIP_ID AND A.SHIP_TO_LOC_CODE = scus.SHIP_TO_LOC_CODE and scus.loc_type = 'CUS' AND DAYS(scus.shipment_tms)+10 >= DAYS(z.ship_tms)
But this is also giving the same exact results by searching either by po_id or ship_id_cus
Any ideas or comment will be much appreciated.
Thanks
------------------------------------UPDATE-----------------------------------
Adding the result of the LEFT JOIN with the row_partition() including all the ship_id_cus for that po_id, and all the codes with the tms. None match here.
Based on all these, it should be the last ship_id_cus with X1 event/tms. If we exclude also the ones starting with 9, we would get the following result.
(I am not applying here ordering by ship_id_cus, which already described before that did not work either the way I implemented)
If you have a table: TBL1
ID APPROVED APPROVER DATE_APPROVED
====== ======== ======== =============
ABC Y JOE 2019-01-13
ABC N ZACK 2018-12-23
ABC N SUE 2019-02-23
And you do SQL:
SELECT ID, MAX(APPROVED) AS APPROVAL
,MAX(APPROVER) AS APPROVED_BY , MAX(DATE_APPROVED) AS APPROVED_ON
FROM TBL1 GROUP BY ID
you will get result:
ID APPROVAL APPROVED_BY APPROVED_ON
====== ======== =========== =============
ABC Y ZACK 2019-02-23
which is correct to the code but is NOT what you want
Try the following:
SELECT T1.ID, T1.APPROVED, T1.APPROVER, T1.DATE_APPROVED
FROM TBL1 AS T1
INNER JOIN (SELECT ID, MAX(DATE_APPROVED) AS APPROVED_ON
FROM TBL1 GROUP BY ID
) AS T2
ON T1.ID =T2.ID
AND T1.DATE_APPROVED = T2.APPROVED_ON
Result:
ID APPROVED APPROVER DATE_APPROVED
====== ======== ======== =============
ABC N SUE 2019-02-23

SQL statement merge two rows into one

In the results of my sql-statement (SQL Server 2016) I would like to combine two rows with the same value in two columns ("study_id" and "study_start") into one row and keep the row with higest value in a third cell ("Id"). If any columns (i.e. "App_id" or "Date_arrival) in the row with higest Id is NULL, then it should take the value from the row with the lowest "Id".
I get the result below:
Id study_id study_start Code Expl Desc Startmonth App_id Date_arrival Efter_op Date_begin
167262 878899 954 4.1 udd.ord Afbrudt feb 86666 21-06-2012 N 17-08-2012
180537 878899 954 1 Afsluttet Afsluttet feb NULL NULL NULL NULL
And I would like to get this result:
Id study_id study_start Code Expl Desc Startmonth App_id Date_arrival Efter_op Date_begin
180537 878899 954 1 Afsluttet Afsluttet feb 86666 21-06-2012 N 17-08-2012
My statement looks like this:
SELECT dbo.PopulationStam_V.ELEV_ID AS id,
dbo.PopulationStam_V.PERS_ID AS study_id,
dbo.STUDIESTARTER.STUDST_ID AS study_start,
dbo.Optagelse_Studiestatus.AFGANGSARSAG AS Code,
dbo.Optagelse_Studiestatus.KORT_BETEGNELSE AS Expl,
ISNULL((CAST(dbo.Optagelse_Studiestatus.Studiestatus AS varchar(20))), 'Indskrevet') AS 'Desc',
dbo.STUDIESTARTER.OPTAG_START_MANED AS Startmonth,
dbo.ANSOGNINGER.ANSOG_ID as App_id,
dbo.ANSOGNINGER.ANKOMSTDATO AS Data_arrival',
dbo.ANSOGNINGER.EFTEROPTAG AS Efter_op,
dbo.ANSOGNINGER.STATUSDATO AS Date_begin
FROM dbo.INSTITUTIONER
INNER JOIN dbo.PopulationStam_V
ON dbo.INSTITUTIONER.INST_ID = dbo.PopulationStam_V.SEMI_ID
LEFT JOIN dbo.ANSOGNINGER
ON dbo.PopulationStam_V.ELEV_ID = dbo.ANSOGNINGER.ELEV_ID
INNER JOIN dbo.STUDIESTARTER
ON dbo.PopulationStam_V.STUDST_ID_OPRINDELIG = dbo.STUDIESTARTER.STUDST_ID
INNER JOIN dbo.UDD_NAVNE_T
ON dbo.PopulationStam_V.UDDA_ID = dbo.UDD_NAVNE_T.UDD_ID
INNER JOIN dbo.UDDANNELSER
ON dbo.UDD_NAVNE_T.UDD_ID = dbo.UDDANNELSER.UDDA_ID
LEFT OUTER JOIN dbo.PERSONER
ON dbo.PopulationStam_V.PERS_ID = dbo.PERSONER.PERS_ID
LEFT OUTER JOIN dbo.POSTNR
ON dbo.PERSONER.PONR_ID = dbo.POSTNR.PONR_ID
LEFT OUTER JOIN dbo.KønAlleElevID_V
ON dbo.PopulationStam_V.ELEV_ID = dbo.KønAlleElevID_V.ELEV_ID
LEFT OUTER JOIN dbo.Optagelse_Studiestatus
ON dbo.PopulationStam_V.AFAR_ID = dbo.Optagelse_Studiestatus.AFAR_ID
LEFT OUTER JOIN dbo.frafaldsmodel_adgangsgrundlag
ON dbo.frafaldsmodel_adgangsgrundlag.ELEV_ID = dbo.PopulationStam_V.ELEV_ID
LEFT OUTER JOIN dbo.Optagelse_prioriteterUFM
ON dbo.Optagelse_prioriteterUFM.cpr = dbo.PopulationStam_V.CPR_NR
AND dbo.Optagelse_prioriteterUFM.Aar = dbo.frafaldsmodel_adgangsgrundlag.optagelsesaar
LEFT OUTER JOIN dbo.frafaldsmodel_stoettetabel_uddannelser AS fsu
ON fsu.id_uddannelse = dbo.UDDANNELSER.UDDA_ID
AND fsu.id_inst = dbo.INSTITUTIONER.INST_ID
AND fsu.uddannelse_aar = dbo.frafaldsmodel_adgangsgrundlag.optagelsesaar
WHERE dbo.STUDIESTARTER.STUDIESTARTSDATO > '2012-03-01 00:00:00.000'
AND (dbo.Optagelse_Studiestatus.AFGANGSARSAG IS NULL
OR dbo.Optagelse_Studiestatus.AFGANGSARSAG NOT LIKE '2.7.4')
AND (dbo.PopulationStam_V.INDSKRIVNINGSFORM = '1100'
OR dbo.PopulationStam_V.INDSKRIVNINGSFORM = '1700')
GROUP BY dbo.PopulationStam_V.ELEV_ID,
dbo.PopulationStam_V.PERS_ID,
dbo.STUDIESTARTER.STUDST_ID,
dbo.Optagelse_Studiestatus.AFGANGSARSAG,
dbo.Optagelse_Studiestatus.KORT_BETEGNELSE,
dbo.STUDIESTARTER.OPTAG_START_MANED,
Studiestatus,
dbo.ANSOGNINGER.ANSOG_ID,
dbo.ANSOGNINGER.ANKOMSTDATO,
dbo.ANSOGNINGER.EFTEROPTAG,
dbo.ANSOGNINGER.STATUSDATO
I really hope somebody out there can help.
Many ways, this will work:
WITH subSource AS (
/* Your query here */
)
SELECT
s1.id,
/* all other columns work like this:
COALESCE(S1.column,s2.column)
for example: */
coalesce(s1.appid,s2.appid) as appid
FROM subSource s1
INNER JOIN subSource s2
ON s1.study_id =s2.study_id
and s1.study_start = s2.study_start
AND s1.id > s2.id
/* I imagine some other clauses might be needed but maybe not */
The rest is copy paste

SELF-JOIN discarding true CROSS JOIN rows

I have the following query;
What I get is tickets information. I use self-join to obtain the requester and the assignee in the same row:
SELECT z.id AS TICKET, z.name AS Subject, reqs.name AS Requester, techs.name AS Assignee,
e.name AS Entity,DATE_FORMAT(tt.date,'%y%-%m%-%d') AS DATE,
DATE_FORMAT(tt.date,'%T') AS HOUR,
CASE WHEN z.priority = 6 THEN 'Mayor' WHEN z.priority = 5 THEN 'Muy urgente' WHEN z.priority = 4 THEN 'Urgente'WHEN z.priority = 3 THEN 'Mediana' WHEN z.priority = 2 THEN 'Baja' WHEN z.priority =1 THEN 'Muy baja' END AS Priority,
c.name AS Category, i.name AS Department
FROM glpi_tickets_users tureq
JOIN glpi_tickets_users tutech ON tureq.tickets_id = tutech.tickets_id
JOIN glpi_users AS reqs ON tureq.users_id = reqs.id
JOIN glpi_users AS techs ON tutech.users_id = techs.id
JOIN glpi_tickets z ON z.id = tureq.tickets_id
LEFT OUTER JOIN glpi_tickettasks tt ON z.id = tt.tickets_id
LEFT JOIN glpi_itilcategories i ON z.itilcategories_id = i.id
LEFT JOIN glpi_usercategories c ON c.id = reqs.usercategories_id
INNER JOIN glpi_entities e ON z.entities_id = e.id
WHERE (tureq.id < tutech.id AND tureq.type < tutech.type) OR
(tureq.id < tutech.id AND tureq.users_id = tutech.users_id) OR
(tureq.id = tutech.id AND tureq.users_id = tutech.users_id)
The problem is that I get something like that:
1 Report jdoe jdoe Development 16-06-07 11:56:17 Mediana Software Mkt
1 Report jdoe fwilson Development 16-06-07 11:56:17 Mediana Software MKt
1 Report fwilson fwilson Development 16-06-07 11:56:17 Mediana Software Mkt
2 Task11 gwilliams gwilliams Ops 16-06-08 12:00:00 ALTA Hardware Def
3 Task12 gwilliams gwilliams Ops 16-06-08 12:01:00 ALTA Hardware Def
I don't want first and third row because is a CROSS JOIN result. Second row is OK, because jdoe is a requester and fwilson an assignee.
The problem is that sometimes requester and assignee are the same, eg: he creates a ticket for a task that himself will do. For example, 4th and 5th rows are OK.
So, how should I do to make a difference for those distinct cases, i.e.: I need to include:
tureq.id = tech.id AND req.users_id = tech.users.id
BUT NOT IF ALREADY EXISTS
tureq.id = tech.id AND req.users_id <> tech.users_id
Update
The main problem is that a user can assign to himself a ticket:
SELECT * from glpi_tickets_users WHERE type = 2 GROUP BY tickets_id HAVING COUNT(users_id)<2 limit 3;
+----+------------+----------+------+------------------+-------------------+
| id | tickets_id | users_id | type | use_notification | alternative_email |
+----+------------+----------+------+------------------+-------------------+
| 1 | 2 | 12 | 2 | 1 | NULL |
| 3 | 6 | 13 | 2 | 1 | NULL |
| 7 | 8 | 14 | 2 | 1 | NULL |
+----+------------+----------+------+------------------+-------------------+
Update 2:
It was a human mistake. The problem was really not about self-assigned tickets. Rather it was either that some tickets had not Requester or had Requester but still had not any resolver assigned.
I've found
As there are always the two types per ticket you are interested in, you can simply select the according records, so as to get requester and assignee per ticket.
select
t.id as ticket,
t.name as subject,
requester.name as requester,
assignee.name as assignee,
e.name as entity,
date_format(tt.date,'%y%-%m%-%d') as date,
date_format(tt.date,'%T') as hour,
case t.priority
when 6 then 'Mayor'
when 5 then 'Muy urgente'
when 4 then 'Urgente'
when 3 then 'Mediana'
when 2 then 'Baja'
when 1 then 'Muy baja'
end as priority,
uc.name as category,
ic.name as department
from glpi_tickets t
join glpi_entities e on e.id = t.entities_id
join
(
select tu.tickets_id, u.name, u.usercategories_id
from glpi_tickets_users tu
join glpi_users u on u.id = users_id
where tu.type = 1
) requester on requester.tickets_id = t.id
join
(
select tu.tickets_id, u.name
from glpi_tickets_users tu
join glpi_users u on u.id = users_id
where tu.type = 2
) assignee on assignee.tickets_id = t.id
left join glpi_itilcategories ic on ic.id = t.itilcategories_id
left join glpi_usercategories uc on uc.id = requester.usercategories_id;
left outer join glpi_tickettasks tt on tt.tickets_id = t.id
The only thing I wonder is: There can be several ticket tasks per ticket. So what do you want to do then? Have one line per ticket task in your results? This is what the query does. Only, it looks queer that your result rows don't contain any information on the tasks except for the dates, so you may have many, many lines with the same data, only with different dates. So maybe, you'd rather want the first or last date per ticket. To get the last date per ticket, you'd replace the last line in the query with:
left outer join
(
select tickets_id, max(date) as date
from glpi_tickettasks
group by tickets_id
) tt on tt.tickets_id = t.id
And you probably want to add an ORDER BY clause.
you need to add more qualifiers to your joins for example
JOIN glpi_tickets_users tutech ON tureq.tickets_id = tutech.tickets_id and tutech.type = 2