I am trying to get the HTS "harmonized code" from two different tables.
STKMP purchased, STKMM Manufactured.
When I run my query, there are items that are missing the HTS from STKMP, I would like to replace NULLS
with the data on STKMM. I have tried case when but it gives me no results.
Select distinct
ltrim(rtrim(boldh.FEBOL#)) as BOL,
--ltrim(rtrim(bolh.FESCS#)) as ShipTo,
--ltrim(rtrim(bolh.FESNME)) as CustomerName,
--ltrim(rtrim(bolh.FGCPO#)) as CustPO,
--ltrim(rtrim(ocri.DDCSPI)) as CustLine,
ltrim(rtrim(bold.FGCPT#)) as CustPart,
ltrim(rtrim(bolh.FESNME)) as CustName,
ltrim(rtrim(bolh.FESAD1)) as CustStreet,
ltrim(rtrim(bolh.FESAD2)) as CustStreet1,
ltrim(rtrim(bolh.FESAD3)) as CustCityState,
ltrim(rtrim(stkmp.AWHARM)) as HTS,
case when STKMP.AWHARM is null then STKMM.AVHARM else stkmp.AWHARM end as HTTT,
ltrim(rtrim(V6CORG)) as COO,
ltrim(rtrim(awdes1)) as Descrip
--ltrim(rtrim([FGQSHO])) as QTY
FROM BOLH
left join bold on bolh.FEBOL# = bold.FGBOL#
left join ocri on bold.FGORD# = ocri.DDORD# and bold.FGITEM = ocri.DDITM#
left join STKA on ocri.DDPART = stka.v6part
left join STKMP on stka.V6PART = STKMP.AWPART
left join STKMM on STKMP.AWPART = STKMM.AVPART
Thanks
COALESCE ( expression [ ,...n ] )
Reference: https://learn.microsoft.com/en-us/sql/t-sql/language-elements/coalesce-transact-sql?view=sql-server-ver15
COALESCE(STKMP.AWHARM, stkmp.AWHARM) AS HTTT
Alternatively, to see if you got some issues with your joins and/or both values are null you could take it one step further, like this.
COALESCE(STKMP.AWHARM, stkmp.AWHARM, 'Both values are NULL') AS HTTT
Also, there are few more other options are there.
By using ISNULL
SELECT ISNULL(STKMP.AWHARM, stkmp.AWHARM) AS HTTT
By Using IIF Statement
SELECT IIF(STKMP.AWHARM IS NOT NULL,STKMP.AWHARM,stkmp.AWHARM) AS HTTT
Related
I'm working on a similar problem to check if a column contains ALL the values of another column - Mysql
This CTE is part of a bigger query. CTE_ProjekteRollen contains a subset of ProjektParamRolle and can contain zero or more records. I want a list of ProjektParam where the items in CTE_ProjekteRollen are all present (when joined with ProjektParamRolle). My solution works in all cases where CTE_ProjektRollen is not empty.
CTE_FilteredByRolle as (
select pp.ID_ProjektParam
from Basis.ProjektParam pp
join Basis.ProjektParamRolle ppr
on pp.ID_ProjektParam = ppr.ID_ProjektParam
join CTE_ProjektRollen pr
on ppr.Rolle = pr.Rolle
group by pp.ID_ProjektParam
having Count(pp.ID_ProjektParam) = (
select Count(Rolle)
from CTE_ProjektRollen))
What do I have to change to get all ProjektParam (joined with ProjektParamRolle), if CTE_ProjektRollen is empty?
Edit: I think I phrased my question wrong, because I didn't understand it fully. #Kendle's solution works for what I described, but I actually needed all ID_ProjektParam (not joined with ProjektParamRolle).
The actual CTE that worked for me was
CTE_FilteredByRolle as (
select pp.ID_ProjektParam
from Basis.ProjektParam pp
where (
select Count(ppr.Rolle)
from Basis.ProjektParamRolle ppr
join CTE_ProjektRollen pr
on ppr.Rolle = pr.Rolle
where ppr.ID_ProjektParam = pp.ID_ProjektParam) = (
select Count(Rolle)
from CTE_ProjektRollen))
We can use a CASE to check whether the table is empty. If it is empty we return the number to which we are comparing, so it will always be true.
CTE_FilteredByRolle as (
select pp.ID_ProjektParam
from Basis.ProjektParam pp
join Basis.ProjektParamRolle ppr
on pp.ID_ProjektParam = ppr.ID_ProjektParam
join CTE_ProjektRollen pr
on ppr.Rolle = pr.Rolle
group by pp.ID_ProjektParam
having Count(distinct pp.ID_ProjektParam)
= case when(select Count(distinct Rolle) from CTE_ProjektRollen)) = 0
then Count(distinct pp.ID_ProjektParam)
else (select Count(distinct Rolle) from CTE_ProjektRollen))
end;
I have used SqlDataSource and have a select query based on District & Zone as below
SELECT a.[committee_id] memberid, a.[membername], a.[memberemail], a.[memberdesignation], a.[membercreatedby],b.districtname AS district,b.districtid,c.zone_name AS zone,c.zoneid
FROM [committee_details] a
LEFT JOIN district_master b on b.districtid=a.districtid
LEFT JOIN zone_master c on c.districtid=a.districtid and c.zoneid = a.zoneid
WHERE (a.[membercreatedby] = 'director') AND ((convert(varchar,a.districtid) LIKE '%2%') AND (convert(varchar,a.zoneid) LIKE '%25%')) ORDER BY a.[committee_id] DESC
It's an inline query. I have tried above query but not able to figure out how to Select condition based.
I want if district supplied then Select according to District, if both District & Zone supplied then Select according to both & If nothing supplied then Select All. But should be in single query. How should I do this?
First, fix your query so you are not using meaningless table aliases. Use table abbreviations! I would also drop all the square braces; they just make the query harder to write and to read.
Basically, you want comparisons with NULL in the WHERE clause. I have no idea why your sample code uses LIKE, particularly columns that appear to be numbers. Nothing in the question explains why LIKE is used for the comparison, so the idea is:
SELECT cd.committee_id as memberid, cd.membername,
cd.memberemail, cd.memberdesignation, cd.membercreatedby,
dm.districtname AS district, dm.districtid,
zm.zone_name AS zone, zm.zoneid
FROM committee_details cd LEFT JOIN
district_master dm
ON cd.districtid = dm.districtid LEFT JOIN
zone_master zm
ON zm.districtid = cd.districtid AND
zm.zoneid = cd.zoneid
WHERE cd.membercreatedby = 'director') AND
(cd.districtid = #district or #district is null) AND
(cd.zoneid = #zone or #zone is null)
ORDER BY cd.[committee_id] DESC;
If you were using LIKE, then I would phrase the logic like:
WHERE cd.membercreatedby = 'director') AND
(cast(cd.districtid as varchar(255)) like #district) AND
(cast(cd.zoneid as varchar(255)) like #zone)
And pass in the patterns as '%' when you want all values to match. This assumes that the columns in cd are not NULL. If they can be NULL, then you want an explicit comparison, as in the first example.
If I got the question right then you can use parameters and compare to the column itself if the values are not supplied or not present.
try the following:
SELECT a.[committee_id] memberid, a.[membername], a.[memberemail], a.[memberdesignation], a.[membercreatedby],b.districtname AS district,b.districtid,c.zone_name AS zone,c.zoneid
FROM [committee_details] a
LEFT JOIN district_master b on b.districtid=a.districtid
LEFT JOIN zone_master c on c.districtid=a.districtid and c.zoneid = a.zoneid
WHERE (a.[membercreatedby] = 'director')
AND b.districtname = isnull(nullif(#districtname, ''), b.districtname)
AND c.zone_name = isnull(nullif(#zone_name, ''), c.zone_name)
ORDER BY a.[committee_id] DESC
I have two tables that I need to combine, but I can't get to seem the joins to work. The picture has three tables
_date_array2: Has a field DateMonthYr that contains all possible date/yr combinations
_sales_summ_tbl__ => Has 5 fields. Only months with sales show up. For example, you see only three records showing up for the second table. There is no 5/2016, for example, because there were no sales for that month.
My goal is to "pad" the second table to have TotalDemand of 0's for months with no sales. I am very close (see the third table), except I cannot get the PartNumber to show up for dates with no sales.
My guess is that it's due to the RIGHT JOIN. But I'm not sure how to handle this. The output I am hoping for is table 3 but with the part number populated for all entries.
And here is my code (the results from running this code are the third/last table in the picture):
SELECT TmpSalesTbl.PartNumber as PartNumber,
tmp_date_array.CreateDateMonth as CreateDateMonth,
tmp_date_array.CreateDateYear as CreateDateYear,
CASE WHEN TmpSalesTbl.TotalDemand is NULL THEN 0 ELSE TmpSalesTbl.TotalDemand END as TotalDemand
FROM #_sales_summ_tbl__ TmpSalesTbl
RIGHT JOIN #_date_array2 tmp_date_array on tmp_date_array.CreateDateMonthYr = TmpSalesTbl.CreateDateMonthYr
ORDER BY tmp_date_array.CreateDateYear, tmp_date_array.CreateDateMonth
It is more conventional to place the list of all dates first, then left join to the data and whilst using a case expression is fine an alternative is coalesce(). This should ensure all the wanted months/years display:
SELECT
tmpsalestbl.PartNumber AS partnumber
, tmp_date_array.CreateDateMonth AS createdatemonth
, tmp_date_array.CreateDateYear AS createdateyear
, COALESCE(tmpsalestbl.TotalDemand, 0) AS totaldemand
FROM #_date_array2 tmp_date_array
LEFT JOIN #_sales_summ_tbl__ tmpsalestbl ON tmp_date_array.CreateDateMonthYr = tmpsalestbl.CreateDateMonthYr
ORDER BY
tmp_date_array.CreateDateYear
, tmp_date_array.CreateDateMonth
To populate for evey partnumber, on every month, you will need a new subquery:
select distinct PartNumber #_sales_summ_tbl__
And then cross join that to the years/months so you have a complete set of years/months/parts.
SELECT
cj.PartNumber AS partnumber
, tmp_date_array.CreateDateMonth AS createdatemonth
, tmp_date_array.CreateDateYear AS createdateyear
, COALESCE(tmpsalestbl.TotalDemand, 0) AS totaldemand
FROM #_date_array2 tmp_date_array
CROSS JOIN (
SELECT DISTINCT
PartNumber FROM #_sales_summ_tbl__
) cj
LEFT JOIN #_sales_summ_tbl__ tmpsalestbl ON tmp_date_array.CreateDateMonthYr = tmpsalestbl.CreateDateMonthYr
AND cj.PartNumber = tmpsalestbl.PartNumber
ORDER BY
tmp_date_array.CreateDateYear
, tmp_date_array.CreateDateMonth
;
Ok here's my View (vw_LiftEquip)
SELECT dbo.tbl_equip_swl_unit.unit_id,
dbo.tbl_equip_swl_unit.unit_name,
dbo.tbl_equip_swl_unit.archived,
dbo.tbl_categories.category_id,
dbo.tbl_categories.categoryName,
dbo.tbl_categories.parentCategory,
dbo.tbl_categories.sub_category,
dbo.tbl_categories.desc_category,
dbo.tbl_categories.description,
dbo.tbl_categories.miscellaneous,
dbo.tbl_categories.category_archived,
dbo.tbl_equip_swl_unit.unit_name AS Expr1,
dbo.tbl_categories.categoryName AS Expr2,
dbo.tbl_categories.description AS Expr3,
dbo.tbl_equip_depts.dept_name,
dbo.tbl_equip_man.man_name,
dbo.tbl_Lifting_Gear.e_defects AS Expr7,
dbo.tbl_Lifting_Gear.e_defects_desc AS Expr8,
dbo.tbl_Lifting_Gear.e_defects_date AS Expr9,
dbo.tbl_equipment.equipment_id,
dbo.tbl_equipment.e_contract_no,
dbo.tbl_equipment.slID,
dbo.tbl_equipment.e_entered_by,
dbo.tbl_equipment.e_serial,
dbo.tbl_equipment.e_model,
dbo.tbl_equipment.e_description,
dbo.tbl_equipment.e_location_id,
dbo.tbl_equipment.e_owner_id,
dbo.tbl_equipment.e_department_id,
dbo.tbl_equipment.e_manafacture_id,
dbo.tbl_equipment.e_manDate1,
dbo.tbl_equipment.e_manDate2,
dbo.tbl_equipment.e_manDate3,
dbo.tbl_equipment.e_dimensions,
dbo.tbl_equipment.e_test_no,
dbo.tbl_equipment.e_firstDate1,
dbo.tbl_equipment.e_firstDate2,
dbo.tbl_equipment.e_firstDate3,
dbo.tbl_equipment.e_prevDate1,
dbo.tbl_equipment.e_prevDate2,
dbo.tbl_equipment.e_prevDate3,
dbo.tbl_equipment.e_insp_frequency,
dbo.tbl_equipment.e_swl,
dbo.tbl_equipment.e_swl_unit_id,
dbo.tbl_equipment.e_swl_notes,
dbo.tbl_equipment.e_cat_id,
dbo.tbl_equipment.e_sub_id,
dbo.tbl_equipment.e_parent_id,
dbo.tbl_equipment.e_last_inspector,
dbo.tbl_equipment.e_last_company,
dbo.tbl_equipment.e_deleted AS Expr11,
dbo.tbl_equipment.e_deleted_desc AS Expr12,
dbo.tbl_equipment.e_deleted_date AS Expr13,
dbo.tbl_equipment.e_deleted_insp AS Expr14,
dbo.tbl_Lifting_Gear.e_defects_action AS Expr15,
dbo.tbl_equipment.e_rig_location,
dbo.tbl_Lifting_Gear.e_add_type AS Expr17,
dbo.tbl_Lifting_Gear.con_id,
dbo.tbl_Lifting_Gear.lifting_date,
dbo.tbl_Lifting_Gear.lifting_ref_no,
dbo.tbl_Lifting_Gear.e_id,
dbo.tbl_Lifting_Gear.inspector_id,
dbo.tbl_Lifting_Gear.lift_testCert,
dbo.tbl_Lifting_Gear.lift_rig_location,
dbo.tbl_Lifting_Gear.inspected,
dbo.tbl_Lifting_Gear.lifting_through,
dbo.tbl_Lifting_Gear.liftingNDT,
dbo.tbl_Lifting_Gear.liftingTest,
dbo.tbl_Lifting_Gear.e_defects,
dbo.tbl_Lifting_Gear.e_defects_desc,
dbo.tbl_Lifting_Gear.e_defects_date,
dbo.tbl_Lifting_Gear.e_defects_action,
dbo.tbl_Lifting_Gear.lift_department_id,
dbo.tbl_Lifting_Gear.lifting_loc
FROM dbo.tbl_equipment
INNER JOIN dbo.tbl_equip_swl_unit
ON dbo.tbl_equipment.e_swl_unit_id = dbo.tbl_equip_swl_unit.unit_id
INNER JOIN dbo.tbl_categories
ON dbo.tbl_equipment.e_cat_id = dbo.tbl_categories.category_id
INNER JOIN dbo.tbl_equip_depts
ON dbo.tbl_equipment.e_department_id = dbo.tbl_equip_depts.dept_id
INNER JOIN dbo.tbl_equip_man
ON dbo.tbl_equipment.e_manafacture_id = dbo.tbl_equip_man.man_id
INNER JOIN dbo.vwSubCategory
ON dbo.tbl_equipment.e_sub_id = dbo.vwSubCategory.category_id
INNER JOIN dbo.vwDescCategory
ON dbo.tbl_equipment.e_cat_id = dbo.vwDescCategory.category_id
INNER JOIN dbo.tbl_Lifting_Gear
ON dbo.tbl_equipment.equipment_id = dbo.tbl_Lifting_Gear.e_id
And here's the select statement with subquery that I am using:
SELECT *
FROM vw_LiftEquip
WHERE lifting_loc = ? AND
con_id = ? AND
EXPR11 =
'N'(
SELECT MAX(lifting_date) AS maxLift
FROM vw_LiftEquip
WHERE e_id = equipment_id
)
ORDER BY lifting_ref_no,
category_id,
e_swl,
e_serial
I get the error :
Column "vw_LiftEquip.category_id" is invalid in the ORDER BY clause because it is not contained in either an aggregate function or the GROUP BY clause.
Can't see why its returning that error, this is admittedly the first time I've ran a subquery on such a complex view, and I am a bit lost, thanks in advance for any help. I have looked through the similar posts and can find no answers to this one, sorry if I am just being dumb.
You are missing AND between EXPR11 = 'N' and (SELECT MAX(...
Otherwise, it looks OK. MAX without GROUP BY is allowed if you have no other columns in the SELECT
Update: #hvd also noted that you have nothing to compare to MAX(lifting_date). See comment
Update 2,
SELECT *
FROM vw_LiftEquip v1
CROSS JOIN
(
SELECT MAX(lifting_date) AS maxLift
FROM vw_LiftEquip
WHERE e_id = equipment_id
) v2
WHERE v1.lifting_loc = ? AND
v1.con_id = ? AND
v1.EXPR11 = 'N'
ORDER BY v1.lifting_ref_no,
v1.category_id,
v1.e_swl,
v1.e_serial
The example below stops at the first JOIN with an error message
Encountered " "JOIN" "JOIN "" at line 13, column 4. Was expecting: ")"
Am I missing something obvious with multiple joins in Bigquery?
SELECT type.CourseType AS CourseType,
SUM(joined.assign.StudentCount) AS StudentN
FROM
(
SELECT assign.StateCourseCode,
assign.StateCourseName,
assign.MatchType,
assign.Term,
assign.StudentCount
FROM [Assignment.AssignmentExtract5] AS assign
JOIN SELECT wgt.Term,
wgt.Weight
FROM [Crosswalk.TermWeights] AS wgt
ON wgt.Term = assign.Term
) AS joined
JOIN SELECT type.CourseCode,
type.CourseDescription,
type.CourseType,
type.CourseCategory
FROM [Crosswalk.CourseTypeDescription] AS type
ON joined.assign.StateCourseCode = type.CourseCode
GROUP BY CourseType
Thanks Ryan, your help was much appreciated. For anyone who might be interested, here is a query that worked.
SELECT type.CourseCategory AS CourseCategory,
SUM(joined.assign.StudentCount) AS StudentN
FROM
(
SELECT assign.StateCourseCode,
assign.StateCourseName,
assign.MatchType,
assign.Term,
assign.StudentCount
FROM [Assignment.AssignmentExtract5] AS assign
JOIN (SELECT Term,
Weight
FROM [Crosswalk.TermWeights]) AS wgt
ON wgt.Term = assign.Term
) AS joined
JOIN (SELECT CourseCode,
CourseDescription,
CourseType,
CourseCategory
FROM [Crosswalk.CourseTypeDescription]) AS type
ON (joined.assign.StateCourseCode = type.CourseCode)
GROUP BY CourseCategory;
I think you're just missing a parenthesis on line 13.
This:
JOIN SELECT wgt.Term,
wgt.Weight
FROM [Crosswalk.TermWeights] AS wgt
ON wgt.Term = assign.Term
Should be:
JOIN (SELECT wgt.Term,
wgt.Weight
FROM [Crosswalk.TermWeights]) AS wgt
ON wgt.Term = assign.Term
More info:
https://developers.google.com/bigquery/docs/query-reference#multiplejoinsexample
FYI - JOINs are not as fast as we'd like yet. We're working on improving the performance.