I need a query in SQL Server 2005 to combine results from multiple rows into a single row
The data I have relates to clothing sizes like this:
# Item No. Garment SKU In Stock
1 CUR211NA-L CUR211NA 0.00
2 CUR211NA-LB CUR211NA 10.00
3 CUR211NA-M CUR211NA 0.00
4 CUR211NA-MB CUR211NA 3.00
5 CUR211NA-S CUR211NA 0.00
6 CUR211NA-SB CUR211NA -9.00
7 CUR211NA-XL CUR211NA 0.00
8 CUR211NA-XXL CUR211NA 0.00
9 CUR211NA-YTH CUR211NA 7.00
I need to show a single SKU code row with the sizes in columns like this:
SB MB LB YTH S M L XL XXL
CUR211NA -9 3 10 7 0 0 0 0 0
What I have so far which is showing the quantities correctly but placing every item on a seperate row
SELECT distinct T0.[U_GarmentSKU], T0.[U_Garment_Title],
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('47900') and t0.itemcode=t1.itemcode) 'SB',
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('39600') and t0.itemcode=t1.itemcode) as 'MB',
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('38500') and t0.itemcode=t1.itemcode) as 'LB',
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('50100') and t0.itemcode=t1.itemcode) as 'YTH',
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('47700') and t0.itemcode=t1.itemcode) as 'S',
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('39400') and t0.itemcode=t1.itemcode) as 'M',
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('38300') and t0.itemcode=t1.itemcode) as 'L',
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('49200','48700') and t0.itemcode=t1.itemcode) as 'XL',
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('49700','49300') and t0.itemcode=t1.itemcode) as 'XXL',
(select T0.[OnHand] from oitm t1 where T0.[U_GarmentSize] IN ('49800') and t0.itemcode=t1.itemcode) as 'XXXL'
FROM OITM T0 WHERE T0.[U_GarmentSKU] like 'SUR%' and T0.[U_StkStat] = 'G'
Don't use a subquery. Either use pivot (well, not in SQL Server 2005) or conditional aggregation:
SELECT T0.[U_GarmentSKU], T0.[U_Garment_Title],
SUM(CASE WHEN T0.[U_GarmentSize] IN ('47900') THEN T0.[OnHand] ELSE 0
END) as SB,
. . .
FROM OITM T0
WHERE T0.[U_GarmentSKU] like 'SUR%' and T0.[U_StkStat] = 'G'
GROUP BY T0.[U_GarmentSKU], T0.[U_Garment_Title];
The same conditional aggregation as Gordon Linoff's answer, just expanded out for all of the columns in the question:
select
t.[U_GarmentSKU]
, t.[U_Garment_Title]
, [SB] = sum(case when t.[U_GarmentSize] in ('47900') then t.[OnHand] else 0 end)
, [MB] = sum(case when t.[U_GarmentSize] in ('39600') then t.[OnHand] else 0 end)
, [LB] = sum(case when t.[U_GarmentSize] in ('38500') then t.[OnHand] else 0 end)
, [YTH] = sum(case when t.[U_GarmentSize] in ('50100') then t.[OnHand] else 0 end)
, [S] = sum(case when t.[U_GarmentSize] in ('47700') then t.[OnHand] else 0 end)
, [M] = sum(case when t.[U_GarmentSize] in ('39400') then t.[OnHand] else 0 end)
, [L] = sum(case when t.[U_GarmentSize] in ('38300') then t.[OnHand] else 0 end)
, [XL] = sum(case when t.[U_GarmentSize] in ('49200','48700') then t.[OnHand] else 0 end)
, [XXL] = sum(case when t.[U_GarmentSize] in ('49700','49300') then t.[OnHand] else 0 end)
, [XXXL] = sum(case when t.[U_GarmentSize] in ('49800') then t.[OnHand] else 0 end)
from oitm t
where t.[U_GarmentSKU] like 'SUR%'
and t.[U_StkStat] = 'G'
group by t.[U_GarmentSKU], t.[U_Garment_Title]
Related
For below query I want to have a flag called isHold that will evaluate to 0
if there is no billNo from the view viewBills exists in onHold table and
1 otherwise
select max(t.id) TrackingID , max(vb.billNo) billNo, cb.id ,
max(case when vb.[count] > 1 then 1 else 0 end) isMultiple ,
max(case when t.TrackingID = 31 then 1 else 0 end) IsCancelled,
max(case when exists (select 1 from OnHold oh
where oh.billNo = billNo) then 1 else 0 end) IsHold
from viewBills vb
join tracking t on vb.billNo = t.billNo
join customerBills cb on vb.billNo = cb.billNo
join customerPieces cp on cb.id = cp.customerBillId
where cb.statusid <> 3
group by cb.id
I got this error when executing
Cannot perform an aggregate function on an expression
containing an aggregate or a subquery.
It's reasonable but how can achieve that?
You can use outer apply or a left join to move the logic to the FROM clause:
select max(t.id) as TrackingID , max(vb.billNo) as billNo, cb.id ,
max(case when vb.[count] > 1 then 1 else 0 end) as isMultiple,
max(case when t.TrackingID = 31 then 1 else 0 end) as IsCancelled,
max(case when oh.billNo is not null then 1 else 0 end) as IsHold
from viewBills vb join
tracking t
on vb.billNo = t.billNo join
customerBills cb
on vb.billNo = cb.billNo join
customerPieces cp
on cb.id = cp.customerBillId outer apply
(select top (1) oh.*
from OnHold oh
where oh.billNo = cb.billNo
) oh
where cw.statusid <> 3
group by cb.id;
You can go for LEFT OUTER JOIN and do the aggregation as given below:
select max(t.id) TrackingID , max(vb.billNo) billNo, cb.id ,
max(case when vb.[count] > 1 then 1 else 0 end) isMultiple ,
max(case when t.TrackingID = 31 then 1 else 0 end) IsCancelled,
max(case when oh.billNo IS NOT NULL then 1 else 0 end) IsHold
from viewBills vb
join tracking t on vb.billNo = t.billNo
join customerBills cb on vb.billNo = cb.billNo
join customerPieces cp on cb.id = cp.customerBillId
LEFT OUTER JOIN OnHold oh ON oh.billNo = vb.billNo
where cb.statusid <> 3
group by cb.id
I am trying to generate a report, and so far have one completed that gives me how many orders, for each day, are in status 1-9.
TableA structure looks like this:
Sales Order | Order Status | Order Date
123456789 | 1 | 2017-02-22 00:00:00.000
123456790 | 0 | 2017-02-21 00:00:00.000
TableB structure looks like this:
Sales Order | Price
123456789 | 123.00
123456789 | 42.00
123456790 | 56.00
123456790 | 28.00
This code:
SELECT
MAX(year([OrderDate])) as Yr,
MAX(MONTH([OrderDate])) as M,
Day([OrderDate]) as Day,
sum(case when [OrderStatus]='0' THEN 1 ELSE 0 END) AS 'STATUS"0"',
sum(case when [OrderStatus]='1' THEN 1 ELSE 0 END) AS 'STATUS"1"',
sum(case when [OrderStatus]='2' THEN 1 ELSE 0 END) AS 'STATUS"2"',
sum(case when [OrderStatus]='4' THEN 1 ELSE 0 END) AS 'STATUS"4"',
sum(case when [OrderStatus]='8' THEN 1 ELSE 0 END) AS 'STATUS"8"',
sum(case when [OrderStatus]='9' THEN 1 ELSE 0 END) AS 'STATUS"9"',
sum(case when [OrderStatus]='S' THEN 1 ELSE 0 END) AS 'STATUS"S"',
sum(case when [OrderStatus]='*' THEN 1 ELSE 0 END) AS 'STATUS"*"',
sum(case when [OrderStatus]='/' THEN 1 ELSE 0 END) AS 'STATUS"/"'
FROM
SorMaster
WHERE
YEAR([OrderDate]) = YEAR(GETDATE())
GROUP BY
DATENAME(month, DateAdd(month, Month([OrderDate]) - 1, Cast('2008-01-01' AS Datetime))), Day([OrderDate])
ORDER BY
Yr DESC, M DESC, Day DESC
Returns this:
Yr | M | Day | STATUS"0" | STATUS"1" | STATUS"2" | STATUS"4" | STATUS"8" | STATUS"9" | STATUS"S" | STATUS"*" | STATUS"/"
2017 2 22 0 2 0 1 0 0 5 0 0
2017 2 21 0 0 0 7 0 0 0 0 0
This is PERFECT for my first report.
Now, comes the trouble. My Problem is that I need to nest-query Table B, so that instead of returning a count(orders), I need the sum(orders) those totals for each order are in Table B.
Using the above example, the query would need to return something like this:
Yr | M | Day | STATUS"0" | STATUS"1" | STATUS"2" | STATUS"4" | STATUS"8" | STATUS"9" | STATUS"S" | STATUS"*" | STATUS"/"
2017 2 22 0 165 0 0 0 0 0 0 0
2017 2 21 84 0 0 0 0 0 0 0 0
Any pointers?
Just join to TableB:
SELECT MAX(year([t1.OrderDate])) AS Yr,
MAX(MONTH([t2.OrderDate])) AS M,
DAY([t1.OrderDate]) AS Day,
SUM(CASE WHEN [OrderStatus] = '0' THEN t2.Price ELSE 0 END) AS 'STATUS"0"',
SUM(CASE WHEN [OrderStatus] = '1' THEN t2.Price ELSE 0 END) AS 'STATUS"1"',
SUM(CASE WHEN [OrderStatus] = '2' THEN t2.Price ELSE 0 END) AS 'STATUS"2"',
SUM(CASE WHEN [OrderStatus] = '4' THEN t2.Price ELSE 0 END) AS 'STATUS"4"',
SUM(CASE WHEN [OrderStatus] = '8' THEN t2.Price ELSE 0 END) AS 'STATUS"8"',
SUM(CASE WHEN [OrderStatus] = '9' THEN t2.Price ELSE 0 END) AS 'STATUS"9"',
SUM(CASE WHEN [OrderStatus] = 'S' THEN t2.Price ELSE 0 END) AS 'STATUS"S"',
SUM(CASE WHEN [OrderStatus] = '*' THEN t2.Price ELSE 0 END) AS 'STATUS"*"',
SUM(CASE WHEN [OrderStatus] = '/' THEN t2.Price ELSE 0 END) AS 'STATUS"/"'
FROM SorMaster t1
LEFT JOIN TableB t2
ON t1.[Sales Order] = t2.[Sales Order]
WHERE YEAR([OrderDate]) = YEAR(GETDATE())
GROUP BY DATENAME(month,DateAdd(month,Month([OrderDate])-1,Cast('2008-01-01' AS Datetime))),
DAY([OrderDate])
ORDER BY Yr DESC, M DEACLLSC, Day DESC
That's not too difficult, just a matter of LEFT JOINing in table B and then summing the prices in that. There's a couple of small tricks here. You want to LEFT JOIN to ensure that rows in table A always show up, even if there are no corresponding rows in table B. Secondly, in your SUM() statement, you'll need to add a COALESCE(...,0.00) to ensure you're summing decimals and no NULL values creep in from the LEFT JOIN. Oddly in databases, NULL + {anything} = NULL.
For the below query, you'll need to change the name of TableB to whatever the table name is, and the JOIN predicate will need to have the column names named accurately, and delimited correctly if they contain spaces. For example, in MSSQL the delimiters are [ and ], e.g. MyTable.[My Column With Spaces]
SELECT
MAX(YEAR([OrderDate])) as Yr,
MAX(MONTH([OrderDate])) as M,
DAY([OrderDate]) as Day,
sum(case when [OrderStatus]='0' THEN COALESCE(TableB.Price, 0.00) ELSE 0.00 END) AS 'STATUS"0"',
sum(case when [OrderStatus]='1' THEN COALESCE(TableB.Price, 0.00) ELSE 0.00 END) AS 'STATUS"1"',
sum(case when [OrderStatus]='2' THEN COALESCE(TableB.Price, 0.00) ELSE 0.00 END) AS 'STATUS"2"',
sum(case when [OrderStatus]='4' THEN COALESCE(TableB.Price, 0.00) ELSE 0.00 END) AS 'STATUS"4"',
sum(case when [OrderStatus]='8' THEN COALESCE(TableB.Price, 0.00) ELSE 0.00 END) AS 'STATUS"8"',
sum(case when [OrderStatus]='9' THEN COALESCE(TableB.Price, 0.00) ELSE 0.00 END) AS 'STATUS"9"',
sum(case when [OrderStatus]='S' THEN COALESCE(TableB.Price, 0.00) ELSE 0.00 END) AS 'STATUS"S"',
sum(case when [OrderStatus]='*' THEN COALESCE(TableB.Price, 0.00) ELSE 0.00 END) AS 'STATUS"*"',
sum(case when [OrderStatus]='/' THEN COALESCE(TableB.Price, 0.00) ELSE 0.00 END) AS 'STATUS"/"'
FROM SorMaster
LEFT OUTER JOIN TableB
ON TableB.SalesOrder = SorMaster.SalesOrder
WHERE YEAR([OrderDate]) = YEAR(GETDATE())
GROUP BY
DATENAME(month,DateAdd(month,Month([OrderDate])-1,Cast('2008-01-01' AS Datetime))),
DAY([OrderDate])
ORDER BY
Yr DESC,
M DESC,
Day DESC
By (left) joining tableB and replacing your 'count' ones by tableB.price you should get the sum of all positions of orders with the according status.
I am a new member of Stackoverflow (and also I'm a new of coding sql) if i do any mistakes about my question please advise me :)
I'm trying to get SUM of Amount in CASE WHEN Clause.
Here is my table
tableA
UserID transid Brand Amount
UserA 109974 MIX 960.00 --BrandMIX=A & B
UserB 109975 B 894.00
UserC 109976 C 350.00
UserC 109977 MIX 300.00 --BrandMIX=C & D
tableB
Row transid Brand
1 109974 A
2 109974 B
3 109975 B
4 109976 C
5 109977 C
6 109977 D
I tried inner join table a and table b on a.soid = b.soid
and when i SUM it, result was wrong due to duplication of transid in table b.
here is my coding.
SELECT UserID
,CASE WHEN COUNT(DISTINCT(b.transid )) <> 0 THEN COUNT(DISTINCT(b.transid ))
ELSE NULL END) AS 'Frequency'
,SUM(Amount) as 'TotalAmount'
,YEAR(transdatetime) AS 'Year'
,SUM (CASE [Brand] WHEN 'AA' THEN 1 ELSE 0 END) AS [BrandA]
,SUM (CASE [Brand] WHEN 'BB' THEN 1 ELSE 0 END) AS [BrandB]
,SUM (CASE [Brand] WHEN 'CC' THEN 1 ELSE 0 END) AS [BrandC]
,SUM (CASE [Brand] WHEN 'DD' THEN 1 ELSE 0 END) AS [BrandD]
,SUM (CASE [Brand] WHEN 'ZZ' THEN 1 ELSE 0 END) AS [BrandZ]
FROM tableA a
INNER tableB b ON a.transid = b.transid
WHERE is_paid = 'N'
GROUP BY UserID, YEAR(transdatetime)
Result that I got
Result that I want
I added ROW_NUMBER() into tableB, I want to SUM(Amount) WHERE MIN(ROW_NUMBER), is it impossible?
Please advise, thank you.
Based on your row_number i.e (row column of tableB) I have modified your query to take min(row) values. Please try this...If this does not work please post the complete tables structures.
SELECT UserID
,CASE WHEN COUNT(DISTINCT(b.transid )) <> 0 THEN COUNT(DISTINCT(b.transid ))
ELSE NULL END AS 'Frequency'
,SUM(Amount) as 'TotalAmount'
,YEAR(transdatetime) AS 'Year'
,SUM (CASE [Brand] WHEN 'AA' THEN 1 ELSE 0 END) AS [BrandA]
,SUM (CASE [Brand] WHEN 'BB' THEN 1 ELSE 0 END) AS [BrandB]
,SUM (CASE [Brand] WHEN 'CC' THEN 1 ELSE 0 END) AS [BrandC]
,SUM (CASE [Brand] WHEN 'DD' THEN 1 ELSE 0 END) AS [BrandD]
,SUM (CASE [Brand] WHEN 'ZZ' THEN 1 ELSE 0 END) AS [BrandZ]
FROM tableA a
INNER JOIN tableB b ON a.transid = b.transid
WHERE is_paid = 'N' AND b.row in (select min(row) from tableB group by transid)
GROUP BY UserID, YEAR(transdatetime)
The query i am using is
select convert(varchar(10), sales.saledate, 103) [SaleDate], SUM(sales.Domestic) [Domestic], SUM(sales.Export) [Export], SUM(sales.Import) [Import],
SUM(sales.Value) [Value], Sum(sales.Cancelled) [Cancelled], sum(sales.cancelledValue) [CancelledValue], SUM(sales.totalValue) [TotalValue]
from
(
select max(j.SaleDate) SaleDate,
case when max(oc.Code) = 'AU' and max(dc.Code) = 'AU' then 1 else 0 end [Domestic],
case when max(oc.Code) = 'AU' and max(dc.Code) <> 'AU' then 1 else 0 end [Export],
case when max(oc.Code) <> 'AU' and max(dc.Code) = 'AU' then 1 else 0 end [Import],
1 [Total],
max(ic.Total) [Value],
case when max(c.CancelDate) is not null then 1 else 0 end [Cancelled],
case when max(c.CancelDate) is not null then max(ic.Total) else 0 end [CancelledValue],
case when max(c.CancelDate) is null then max(ic.Total) else 0 end [TotalValue]
from invoices i
left join Jobs j on i.JobKey = j.JobKey
inner join tasks t on j.jobkey = t.jobkey
inner join Consignments c on t.TaskKey = c.consignmentkey
inner join places op on c.originplacekey = op.placekey
inner join places dp on c.destinationplacekey = dp.placekey
inner join places oC on dbo.ParentPlaceKey(c.originPlaceKey) = oc.placekey
inner join places dC on dbo.ParentPlaceKey(c.destinationplacekey) = dc.placekey
left join (select consignmentKey, sum(Value) [Value] from ConsignmentItems ci group by consignmentkey ) ci on ci.ConsignmentKey = c.ConsignmentKey
left join (select invoicekey, sum(case when ci.ChargeItemKey = 'FRT_SLL' then oc.Value else 0 end) [Freight],
sum(case when ci.ChargeItemKey = 'WTY_SLL' then oc.Value else 0 end) [Warranty],
sum(case when ci.ChargeType = 4 then oc.Value else 0 end) [Total] from InvoiceCharges ic
left join OptionCharges oc on ic.OptionChargeKey = oc.OptionChargeKey
left join ChargeItems ci on oc.ChargeItemKey = ci.ChargeItemKey
group by invoicekey
) ic on ic.InvoiceKey = i.InvoiceKey
where
j.SaleDate >= '01-Apr-2013' and j.SaleDate <= '10-May-2013'
and
j.operationalstorekey = dbo.StoreCode('AU-WEB')
and j.saledate is not null and SelectedOptionKey is not null
group by j.jobkey
) sales
group by convert(varchar(10), sales.saledate, 103)
order by max(sales.saledate)
The result of a sql query is
SaleDate Domestic Export Import Value Cancelled CancelledValue Totalvalue
11/04/2013 1 0 0 47.200 0 0.0000 47.2000
16/04/2013 6 0 0 249.750 0 0.0000 249.7500
22/04/2013 0 1 0 223.480 0 0.0000 223.4800
23/04/2013 0 3 0 670.440 0 0.0000 670.4400
I want result like (want to add the TOTALS at the end)
SaleDate Domestic Export Import Value Cancelled CancelledValue Totalvalue
11/04/2013 1 0 0 47.200 0 0.0000 47.2000
16/04/2013 6 0 0 249.750 0 0.0000 249.7500
22/04/2013 0 1 0 223.480 0 0.0000 223.4800
23/04/2013 0 3 0 670.440 0 0.0000 670.4400
TOTALS 7 4 0 1190.432 0 0 1190.432
Can anyone please tell me how to achieve this in above query, i am trying with temp tables which i dont want.
Thanks.
You can achieve this by adding an UNION at the end of your result. Something like:
... order by max(sales.saledate)
UNION
(SELECT "TOTALS", SUM(sales.Domestic) AS Domestic, SUM(sales.Export) AS Export,
SUM(sales.Import) AS Import, SUM(sales.Value) [Value], Sum(sales.Cancelled) AS Cancelled, sum(sales.cancelledValue) AS CancelledValue, SUM(sales.totalValue) AS TotalValue
FROM "your_big_query"...
WHERE ...
)
And this time remove the group by convert(varchar(10), sales.saledate, 103)
EDIT
Or you can use the GROUP BY Modifiers try to use this in the GROUP BY statement:
group by convert(varchar(10), sales.saledate, 103) WITH ROLLUP
You can read the official documentation here with some examples too.
Hope this works!!
I would like a stored procedure to run daily that produces a report of counts.
For example, the .csv would look something like this:
Daily,1
Deaths,0
In-House EKG,4
In-House Xray,2
Suicidal Patients,12
HIV,0
Their individual queries look something like this:
-- Daily and Death Counts
select
SUM(CASE WHEN location != '[OUT]' THEN 1 ELSE 0 END) as 'Daily',
SUM(CASE WHEN death = 1 THEN 1 ELSE 0 END) as 'Deaths'
from
patient_data
-- In-House Tasks
select
SUM(CASE WHEN cat_id = 72 THEN 1 ELSE 0 END) as 'In-House EKG',
SUM(CASE WHEN cat_id = 73 THEN 1 ELSE 0 END) as 'In-House XRay',
from
organizer_tasks
-- Suicidal Patients
select
count(distinct(pid)) as 'Suicidal Inmates'
from
problems pr
inner join problem_list pl on pl.id = pr.problem_list_id
where
pr.status = 'open'
and pl.title like '%suicide%'
-- HIV
select
count(distinct(pid)) as 'HIV'
from
problems pr
inner join problem_list pl on pl.id = pr.problem_list_id
inner join patient_data pd on pr.pid = pd.pid
where
pr.status = 'open'
and pl.title like '%hiv%'
As you can see, each set of data comes from a different table, and has no relation. How can I accomplish my desired result set?
Thanks.
-- Daily and Death Counts
select * from (
select
SUM(CASE WHEN location != '[OUT]' THEN 1 ELSE 0 END) as 'Daily',
SUM(CASE WHEN death = 1 THEN 1 ELSE 0 END) as 'Deaths'
from
patient_data
) tmp unpivot (Number for Type in ([Daily], [Deaths])) t
union all
-- In-House Tasks
select * from (
select
SUM(CASE WHEN cat_id = 72 THEN 1 ELSE 0 END) as 'In-House EKG',
SUM(CASE WHEN cat_id = 73 THEN 1 ELSE 0 END) as 'In-House XRay'
from
organizer_tasks
) tmp unpivot (Number for Type in ([In-House EKG], [In-House XRay])) t
union all
-- Suicidal Patients
select 'Suicidal Inmates',
count(distinct(pid))
from
problems pr
inner join problem_list pl on pl.id = pr.problem_list_id
where
pr.status = 'open'
and pl.title like '%suicide%'
union all
-- HIV
select 'HIV',
count(distinct(pid))
from
problems pr
inner join problem_list pl on pl.id = pr.problem_list_id
inner join patient_data pd on pr.pid = pd.pid
where
pr.status = 'open'
and pl.title like '%hiv%'
Try this with Union which is form in one Query :
select
SUM(CASE WHEN location != '[OUT]' THEN 1 ELSE 0 END) as 'Daily'
from
patient_data
UNION ALL
select
SUM(CASE WHEN death = 1 THEN 1 ELSE 0 END) as 'Deaths'
from
patient_data
UNION ALL
-- In-House Tasks
select
SUM(CASE WHEN cat_id = 72 THEN 1 ELSE 0 END) as 'In-House EKG'
from
organizer_tasks
UNION ALL
select
SUM(CASE WHEN cat_id = 73 THEN 1 ELSE 0 END) as 'In-House XRay'
from
organizer_tasks
UNION ALL
-- Suicidal Patients
select
count(distinct(pid)) as 'Suicidal Inmates'
from
problems pr
inner join problem_list pl on pl.id = pr.problem_list_id
where
pr.status = 'open'
and pl.title like '%suicide%'