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I want to return asset count as per type and also want to concatenate asset ids. I am using FOR XML and path which works fairly good but as soon as I add where clause, it does not work as expected.
This is my table schema and query:
CREATE TABLE [dbo].[Asset]
(
[AssetSeqNumber] [bigint] NULL,
[AssetType] [varchar](100) NULL
) ON [PRIMARY]
GO
INSERT [dbo].[Asset] ([AssetSeqNumber], [AssetType])
VALUES (1, N'Tree')
INSERT [dbo].[Asset] ([AssetSeqNumber], [AssetType])
VALUES (2, N'Tree')
INSERT [dbo].[Asset] ([AssetSeqNumber], [AssetType])
VALUES (3, N'Tree')
INSERT [dbo].[Asset] ([AssetSeqNumber], [AssetType])
VALUES (4, N'Barbecue')
INSERT [dbo].[Asset] ([AssetSeqNumber], [AssetType])
VALUES (5, N'Bridge')
INSERT [dbo].[Asset] ([AssetSeqNumber], [AssetType])
VALUES (101, N'Tree')
INSERT [dbo].[Asset] ([AssetSeqNumber], [AssetType])
VALUES (102, N'Tree')
GO
Query:
SELECT
AssetType,
COUNT(AssetSeqNumber) AS count,
STUFF((SELECT DISTINCT ',' + CAST(AssetSeqNumber AS varchar(100))
FROM Asset
WHERE AssetType = a.AssetType
FOR XML PATH ('')), 1, 1, '') AS AssetIds
FROM
Asset AS a
WHERE
a.AssetSeqNumber IN (1, 2, 3, 4, 5)
GROUP BY
AssetType
This query return result for ids which are not in the where condition (i.e. 101,102). I understand it is because inner query check asset types but I can't figure out how to show expected result.
Note: I am using SQL Server 2019 (v15.0.2095.3 (X64))
You need to modify the where clause for the select statement inside the STUFF function as the following:
WHERE AssetType = a.AssetType AND AssetSeqNumber IN (1, 2, 3, 4, 5)
Also, for your version of SQL Server, you could simplify this by using STRING_AGG function as the following:
SELECT AssetType,
COUNT(*) [Count],
STRING_AGG(AssetSeqNumber, ',') AssetIds
FROM Asset
WHERE AssetSeqNumber IN (1, 2, 3, 4, 5)
GROUP BY AssetType
See a demo for both queries.
your data
drop table if exists #Asset
CREATE TABLE #Asset
(
[AssetSeqNumber] [bigint] NULL,
[AssetType] [varchar](100) NULL
) ON [PRIMARY]
GO
INSERT #Asset ([AssetSeqNumber], [AssetType])
VALUES (1, N'Tree')
INSERT #Asset ([AssetSeqNumber], [AssetType])
VALUES (2, N'Tree')
INSERT #Asset ([AssetSeqNumber], [AssetType])
VALUES (3, N'Tree')
INSERT #Asset ([AssetSeqNumber], [AssetType])
VALUES (4, N'Barbecue')
INSERT #Asset ([AssetSeqNumber], [AssetType])
VALUES (5, N'Bridge')
INSERT #Asset ([AssetSeqNumber], [AssetType])
VALUES (101, N'Tree')
INSERT #Asset ([AssetSeqNumber], [AssetType])
VALUES (102, N'Tree')
GO
you should add your condition into your Xml query
SELECT
AssetType,
COUNT(AssetSeqNumber) AS count,
STUFF((SELECT DISTINCT ',' + CAST(AssetSeqNumber AS varchar(100))
FROM #Asset
WHERE AssetType = a.AssetType /*yourcondition*/and AssetSeqNumber IN (1, 2, 3, 4, 5)
FOR XML PATH ('')), 1, 1, '') AS AssetIds
FROM
#Asset AS a
WHERE
a.AssetSeqNumber IN (1, 2, 3, 4, 5)
GROUP BY
AssetType
by consider using SQL Server 2019,you can use string_agg
SELECT [assettype],
Count(assetseqnumber) count,
String_agg(assetseqnumber, ',') AssetIds
FROM #asset a
WHERE a.assetseqnumber IN ( 1, 2, 3, 4, 5 )
GROUP BY [assettype]
I have to pull data from these tables
**PRODUCT** **LOOKUP_CATEGORY**
ID ProductName ID Category
1 Memory1 1 Product Type
2 Memory2 2 DIMM Type
3 Headset1 3 Color
4 Headset2 4 Speed
5 Keyboard1 5 Form Factor
6 Keyboard2
**LOOKUP**
ID CategoryID Value
1 1 DRAM
2 1 Keyboard
3 1 Headset
4 2 Buffered
5 2 Unbuffered
6 3 Red
7 3 White
8 3 Yellow
9 4 2000Mhz
10 4 2300Mhz
11 4 2600Mhz
12 5 DIMM
13 5 SODIMM
14 5 Earbud
15 5 On-Ear
**PRODUCT_FEATURES**
ID ProductID LookupID
1 1 1
2 1 4
3 1 10
4 1 12
5 2 1
6 2 5
7 2 9
8 2 13
9 3 3
10 3 7
11 3 15
12 4 3
13 4 6
14 4 14
15 5 2
16 5 7
17 6 2
18 6 8
I would like to get the result set like this
ProductName Type DIMMType Color Speed FormFactor
Memory1 DRAM Buffered NULL 2300Mhz DIMM
Memory2 DRAM Unbuffered NULL 2000Mhz SODIMM
Headset1 Headset NULL White NULL On-Ear
Headset2 Headset NULL Red NULL Earbud
Keyboard1 Keyboard NULL White NULL NULL
Keyboard2 Keyboard NULL Yellow NULL NULL
Basically, I would like to be able to get all the products.
How do I this without making function calls? My database is Microsoft SQL 2016
I have tried this, but it does not seem to work as expected because of those NULL values
Select p.ProductID, p.ProductNumber
, lType.Value AS ProductType, lDimm.Value AS DimmType, lSpeed.Value AS Speed, lColor.Value AS Color, lFactor.Value AS FormFactor
From PRODUCT p
Left Join PRODUCT_FEATURES xType On p.ProductID = xType.ProductID
Inner Join LOOKUP lType On xType.LookupID = lType.LookupID
Inner Join LOOKUP_CATEGORY lcType On lType.CategoryID = lcType.LookupCategoryID And lcType.Category = 'Product Type'
Left Join PRODUCT_FEATURES xDimm On p.ProductID = xDimm.ProductID
Inner Join LOOKUP lDimm On xDimm.LookupID = lDimm.LookupID
Inner Join LOOKUP_CATEGORY lcDimm On lDimm.CategoryID = lcDimm.LookupCategoryID And lcDimm.Category = 'DIMM Type'
Left Join PRODUCT_FEATURES xSpeed On p.ProductID = xSpeed.ProductID
Inner Join LOOKUP lSpeed On xSpeed.LookupID = lSpeed.LookupID
Inner Join LOOKUP_CATEGORY lcSpeed On lSpeed.CategoryID = lcSpeed.LookupCategoryID And lcSpeed.Category = 'Speed'
Left Join PRODUCT_FEATURES xColor On p.ProductID = xColor.ProductID
Inner Join LOOKUP lColor On xColor.LookupID = lColor.LookupID
Inner Join LOOKUP_CATEGORY lcColor On lColor.CategoryID = lcColor.LookupCategoryID And lcColor.Category = 'Color'
Left Join PRODUCT_FEATURES xFactor On p.ProductID = xFactor.ProductID
Inner Join LOOKUP lFactor On xFactor.LookupID = lFactor.LookupID
Inner Join LOOKUP_CATEGORY lcFactor On lFactor.CategoryID = lcFactor.LookupCategoryID And lcFactor.Category = 'Form Factor'
Grouping might be able to simplify it a bit.
SELECT
f.ProductID,
p.ProductName,
MAX(CASE WHEN lc.Category = 'Product Type' THEN l.Value END) AS ProductType,
MAX(CASE WHEN lc.Category = 'DIMM Type' THEN l.Value END) AS DimmType,
MAX(CASE WHEN lc.Category = 'Speed' THEN l.Value END) AS Speed,
MAX(CASE WHEN lc.Category = 'Color' THEN l.Value END) AS Color,
MAX(CASE WHEN lc.Category = 'Form Factor' THEN l.Value END) AS FormFactor
FROM PRODUCT_FEATURES f
LEFT JOIN PRODUCT p ON p.ID = f.ProductID
LEFT JOIN LOOKUP l ON l.ID = f.LookupID
LEFT JOIN LOOKUP_CATEGORY lc ON lc.ID = l.CategoryID
GROUP BY f.ProductID, p.ProductName
You could also write it as below, if you want it truely to be dynamic you'd have to generate the statement below using dynamic SQL techniques, see SQL Server dynamic PIVOT query?:
Select ProductId,
ProductName,
Test.[Product type],
Test.[DIMM Type],
Test.[Speed],
Test.[Color],
Test.[Form Factor]
From
(SELECT
P.ProductID,
p.ProductName,
Category,
value
FROM imp.PRODUCT_FEATURES f
LEFT JOIN imp.PRODUCT p ON p.productID = f.ProductID
LEFT JOIN imp.LOOKUP l ON l.lookupID = f.LookupID
LEFT JOIN imp.LOOKUP_CATEGORY lc ON lc.lookupcategoryID = l.CategoryID
) dt
pivot (max(dt.[value]) for dt.[CATEGORY] in ([Product type],[DIMM Type],[Speed],[Color],[Form Factor])) as test
For convenience..
--Create the schema IMP first..
/****** Object: Table [imp].[Lookup] Script Date: 8/1/2018 1:48:28 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [imp].[Lookup](
[lookupID] [float] NULL,
[CategoryID] [float] NULL,
[Value] [nvarchar](255) NULL
) ON [PRIMARY]
GO
/****** Object: Table [imp].[Lookup_category] Script Date: 8/1/2018 1:48:28 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [imp].[Lookup_category](
[lookupcategoryID] [float] NULL,
[Category] [nvarchar](255) NULL
) ON [PRIMARY]
GO
/****** Object: Table [imp].[Product] Script Date: 8/1/2018 1:48:28 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [imp].[Product](
[ProductID] [float] NULL,
[ProductName] [nvarchar](255) NULL
) ON [PRIMARY]
GO
/****** Object: Table [imp].[Product_features] Script Date: 8/1/2018 1:48:28 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [imp].[Product_features](
[ID] [float] NULL,
[ProductID] [float] NULL,
[LookupID] [float] NULL
) ON [PRIMARY]
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (1, 1, N'DRAM')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (2, 1, N'Keyboard')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (3, 1, N'Headset')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (4, 2, N'Buffered')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (5, 2, N'Unbuffered')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (6, 3, N'Red')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (7, 3, N'White')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (8, 3, N'Yellow')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (9, 4, N'2000Mhz')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (10, 4, N'2300Mhz')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (11, 4, N'2600Mhz')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (12, 5, N'DIMM')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (13, 5, N'SODIMM')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (14, 5, N'Earbud')
GO
INSERT [imp].[Lookup] ([lookupID], [CategoryID], [Value]) VALUES (15, 5, N'On-Ear')
GO
INSERT [imp].[Lookup_category] ([lookupcategoryID], [Category]) VALUES (1, N'Product Type')
GO
INSERT [imp].[Lookup_category] ([lookupcategoryID], [Category]) VALUES (2, N'DIMM Type')
GO
INSERT [imp].[Lookup_category] ([lookupcategoryID], [Category]) VALUES (3, N'Color')
GO
INSERT [imp].[Lookup_category] ([lookupcategoryID], [Category]) VALUES (4, N'Speed')
GO
INSERT [imp].[Lookup_category] ([lookupcategoryID], [Category]) VALUES (5, N'Form Factor')
GO
INSERT [imp].[Product] ([ProductID], [ProductName]) VALUES (1, N'Memory1')
GO
INSERT [imp].[Product] ([ProductID], [ProductName]) VALUES (2, N'Memory2')
GO
INSERT [imp].[Product] ([ProductID], [ProductName]) VALUES (3, N'Headset1')
GO
INSERT [imp].[Product] ([ProductID], [ProductName]) VALUES (4, N'Headset2')
GO
INSERT [imp].[Product] ([ProductID], [ProductName]) VALUES (5, N'Keyboard1')
GO
INSERT [imp].[Product] ([ProductID], [ProductName]) VALUES (6, N'Keyboard2')
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (1, 1, 1)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (2, 1, 4)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (3, 1, 10)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (4, 1, 12)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (5, 2, 1)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (6, 2, 5)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (7, 2, 9)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (8, 2, 13)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (9, 3, 3)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (10, 3, 7)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (11, 3, 15)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (12, 4, 3)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (13, 4, 6)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (14, 4, 14)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (15, 5, 2)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (16, 5, 7)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (17, 6, 2)
GO
INSERT [imp].[Product_features] ([ID], [ProductID], [LookupID]) VALUES (18, 6, 8)
GO
This is the following db structure i have, here the issue we are facing to order the rows based on the filed wise.
Field - table hold the field information ed, 2002,2015, Region 1 etc
IndicatorData- hold the row data
datafield - relationship with IndicatorData table... row can have multiple fields
/****** object: table [dbo].[indicatordata] ******/
create table [dbo].[indicatordata](
[id] [bigint] null,
[value] [decimal](18, 2) null,
[hopevalue] [decimal](18, 2) null,
[indicatorid] [int] null,
[datakind] [int] null
) on [primary]
go
insert [dbo].[indicatordata] ([id], [value], [hopevalue], [indicatorid], [datakind]) values (195045, cast(70.00 as decimal(18, 2)), cast(0.00 as decimal(18, 2)), 2032, 0)
insert [dbo].[indicatordata] ([id], [value], [hopevalue], [indicatorid], [datakind]) values (195046, cast(40.00 as decimal(18, 2)), cast(0.00 as decimal(18, 2)), 2032, 0)
insert [dbo].[indicatordata] ([id], [value], [hopevalue], [indicatorid], [datakind]) values (195047, cast(5.00 as decimal(18, 2)), cast(0.00 as decimal(18, 2)), 2032, 0)
insert [dbo].[indicatordata] ([id], [value], [hopevalue], [indicatorid], [datakind]) values (195048, cast(100.00 as decimal(18, 2)), cast(0.00 as decimal(18, 2)), 2032, 0)
insert [dbo].[indicatordata] ([id], [value], [hopevalue], [indicatorid], [datakind]) values (195049, cast(87.00 as decimal(18, 2)), cast(0.00 as decimal(18, 2)), 2032, 0)
insert [dbo].[indicatordata] ([id], [value], [hopevalue], [indicatorid], [datakind]) values (195050, cast(9.00 as decimal(18, 2)), cast(0.00 as decimal(18, 2)), 2032, 0)
/****** object: table [dbo].[indicator] ******/
go
create table [dbo].[indicator](
[id] [int] null,
[name] [varchar](50) null
) on [primary]
go
insert [dbo].[indicator] ([id], [name]) values (2032, n'test tile')
/****** object: table [dbo].[field] ******/
go
create table [dbo].[field](
[id] [int] null,
[name] [varchar](255) null,
[rank] [int] null,
[parentid] [int] null
) on [primary]
go
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (120, n'2006', 18, 57)
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (63, n'2015', 17, 57)
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (303, n'2007', 9, 57)
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (168, n'2018', 20, 57)
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (1463, n'region 1', 1, 1459)
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (1461, n'region 2', 3, 1459)
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (57, n'year', 0, 0)
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (1459, n'region', 0, 0)
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (315, n'2002', 1, 57)
insert [dbo].[field] ([id], [name], [rank], [parentid]) values (123, n'2017', 19, 57)
/****** object: table [dbo].[datafields] ******/
set ansi_nulls on
go
create table [dbo].[datafields](
[dataid] [int] null,
[fieldid] [int] null
) on [primary]
go
insert [dbo].[datafields] ([dataid], [fieldid]) values (195045, 120)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195045, 1463)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195046, 63)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195046, 1461)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195047, 303)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195047, 1463)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195048, 168)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195048, 1463)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195049, 315)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195049, 1463)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195050, 123)
insert [dbo].[datafields] ([dataid], [fieldid]) values (195050, 1463)
go
Here is the query that i have tried to archive it. but its fail
select fieldid, groupedData.value as value, groupedData.hopeValue as hopeValue,
groupedData.datakind, groupedData.id as id, FieldSelector.name,
groupedData.rank
from DataFields FieldsToInsert
join (
select d.id id,min(d.datakind) as datakind, sum(rank) rank, min(value) value, min(hopeValue) hopeValue
from indicatorData d join datafields df on d.id = df.dataid
join field f on df.fieldId=f.id where indicatorId=2032
group by d.id) groupedData on FieldsToInsert.dataid = groupedData.id
join Field FieldSelector on FieldSelector.id=FieldsToInsert.fieldId
order by groupedData.rank asc, groupedData.id
Output we got it is
View Image
Expecting the output is
View image
So the first thought that strikes me is "Is the data correct?" I ask because looking at the years and rank values it suggests that 2006 should maybe be 2016 or the rank for 2006 should be 8 instead of 18.
That aside, and assuming the data is correct, you need to associate the region with the appropriate year. You can do this by getting the parent name for the field record and including the fieldid and then self joining back to get the associated year for that fieldid region record as follows...
WITH GroupedData AS
( SELECT d.id id,
min(d.datakind) AS datakind,
sum(f.rank) rank,
min(d.value) value,
min(d.hopevalue) hopeValue
FROM indicatordata d
JOIN datafields df ON d.id = df.dataid
JOIN field f ON df.fieldid = f.id
WHERE d.indicatorid = 2032
GROUP BY d.id
)
, df_parentType AS
( SELECT df.dataid,
df.fieldid,
f.name,
f.rank,
f.parentid,
fy.name AS parentname
FROM dbo.datafields AS df
JOIN field AS f ON df.fieldid = f.Id
JOIN field AS fy ON f.parentId = fy.Id
)
, df_yearregionmatched AS
( SELECT df.dataid,
df.fieldid,
df.name,
df.rank,
dfp.name AS yearname,
CASE df.parentname WHEN 'year' THEN 0 ELSE 1 END AS datafieldtype
FROM df_parentType AS df
JOIN df_parentType AS dfp ON dfp.dataid = df.dataid AND dfp.parentname = 'year'
)
SELECT GroupedData.id AS fieldid,
GroupedData.value AS value,
GroupedData.hopeValue AS hopeValue,
GroupedData.datakind,
GroupedData.id AS id,
FieldSelector.name,
GroupedData.rank,
FieldSelector.yearname,
FieldSelector.datafieldtype
FROM GroupedData
JOIN df_yearregionmatched FieldSelector ON GroupedData.id = FieldSelector.dataid
ORDER BY FieldSelector.yearname,
FieldSelector.datafieldtype;
I have used CTEs to keep the code uncomplicated. The ordering then is simply by yearname and a generated value to put year before region.
#nickFry
Check another with complex example with one more field...
create table indicator(id int not null,name varchar(255) not null)
insert indicator (id, name) values (1, 'basic employee details')
create table fields(
id int not null,
rank int,
name varchar(255) not null,
parentid int not null)
insert fields (id, rank, name, parentid) values (1, 0, 'year', 0)
insert fields (id, rank, name, parentid) values (2, 1, '2010', 1)
insert fields (id, rank, name, parentid) values (5, 2, '2011', 1)
insert fields (id, rank, name, parentid) values (6, 3, '2012', 1)
insert fields (id, rank, name, parentid) values (7, 4, '2013', 1)
insert fields (id, rank, name, parentid) values (8, 5, '2014', 1)
insert fields (id, rank, name, parentid) values (9, 0, 'nationality', 0)
insert fields (id, rank, name, parentid) values (10, 1, 'libya', 9)
insert fields (id, rank, name, parentid) values (11, 2, 'ukrine', 9)
insert fields (id, rank, name, parentid) values (12, 0, 'gender', 0)
insert fields (id, rank, name, parentid) values (13, 1, 'male', 12)
insert fields (id, rank, name, parentid) values (14, 2, 'fe male', 12)
insert fields (id, rank, name, parentid) values (15, 0, 'maritalstatus', 0)
insert fields (id, rank, name, parentid) values (16, 1, 'married', 15)
insert fields (id, rank, name, parentid) values (17, 2, 'unmarried', 15)
insert fields (id, rank, name, parentid) values (18, 3, 'divorced', 15)
create table indicatorfields(
indicatorid int not null,
fieldid int not null,rank int)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 2,1)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 5,1)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 6,1)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 7,1)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 8,1)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 10,3)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 11,3)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 16,2)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 17,2)
insert indicatorfields (indicatorid, fieldid,rank) values (1, 18,2)
create table indicatordata(
dataid int not null,
value varchar(255) not null,
indicatorid int not null)
insert indicatordata (dataid, value, indicatorid) values (1, '1015', 1)
insert indicatordata (dataid, value, indicatorid) values (2, '15', 1)
insert indicatordata (dataid, value, indicatorid) values (3, '12', 1)
insert indicatordata (dataid, value, indicatorid) values (4, '187', 1)
insert indicatordata (dataid, value, indicatorid) values (5, '50', 1)
insert indicatordata (dataid, value, indicatorid) values (6, '65', 1)
create table datafields(
dataid int not null,
fieldid int not null)
insert datafields (dataid, fieldid) values (1, 8)
insert datafields (dataid, fieldid) values (1, 10)
insert datafields (dataid, fieldid) values (1, 16)
insert datafields (dataid, fieldid) values (2, 6)
insert datafields (dataid, fieldid) values (2, 11)
insert datafields (dataid, fieldid) values (2, 17)
insert datafields (dataid, fieldid) values (3, 7)
insert datafields (dataid, fieldid) values (3, 11)
insert datafields (dataid, fieldid) values (3, 17)
insert datafields (dataid, fieldid) values (4, 2)
insert datafields (dataid, fieldid) values (4, 11)
insert datafields (dataid, fieldid) values (4, 16)
insert datafields (dataid, fieldid) values (5, 8)
insert datafields (dataid, fieldid) values (5, 10)
insert datafields (dataid, fieldid) values (5, 18)
insert datafields (dataid, fieldid) values (6, 2)
insert datafields (dataid, fieldid) values (6, 10)
insert datafields (dataid, fieldid) values (6, 16)
We need to get rows based on the indicatorfield & fields table order by rank
See the attached image for
Actual Output
This is wat i am looking for
Expected OutPut
#Prasad, solution without reference to any hardcoded data value...
WITH GroupedData AS
( SELECT d.dataid id,
--min(d.datakind) AS datakind,
sum(f.rank) rank,
min(d.value) value --,
--min(d.hopevalue) hopeValue
FROM indicatordata d
JOIN datafields df ON d.dataid = df.dataid
JOIN fields f ON df.fieldid = f.id
WHERE d.indicatorid = 1
GROUP BY d.dataid
)
, df_parentType AS
( SELECT df.dataid,
df.fieldid,
f.name,
f.rank,
f.parentid,
fy.name AS parentname
FROM dbo.datafields AS df
JOIN fields AS f ON df.fieldid = f.Id
JOIN fields AS fy ON f.parentId = fy.Id
)
, df_parentmatched AS
( SELECT df.dataid,
df.fieldid,
df.name,
df.rank,
dfp.name AS parentname
FROM df_parentType AS df
JOIN df_parentType AS dfp ON dfp.dataid = df.dataid AND dfp.parentname = (SELECT DISTINCT parentname FROM df_parentType WHERE parentid = (SELECT min(dataid) FROM df_parentType))
)
SELECT GroupedData.id AS datadid,
GroupedData.value AS value,
--GroupedData.hopeValue AS hopeValue,
--GroupedData.datakind,
FieldSelector.fieldid,
FieldSelector.name,
GroupedData.rank,
FieldSelector.parentname
FROM GroupedData
JOIN df_parentmatched FieldSelector ON GroupedData.id = FieldSelector.dataid
ORDER BY FieldSelector.parentname,
GroupedData.rank,
FieldSelector.fieldid;
#nickFy
The one you provide is fine... With this complex example... expected order is not coming in the correct way
Here is another complex example without the year
insert indicator (id, name) values (2, 'testing employee details 2')
insert indicatorfields (indicatorid, fieldid,rank) values (2, 10,3)
insert indicatorfields (indicatorid, fieldid,rank) values (2, 11,3)
insert indicatorfields (indicatorid, fieldid,rank) values (2, 13,1)
insert indicatorfields (indicatorid, fieldid,rank) values (2, 14,1)
insert indicatorfields (indicatorid, fieldid,rank) values (2, 16,2)
insert indicatorfields (indicatorid, fieldid,rank) values (2, 17,2)
insert indicatorfields (indicatorid, fieldid,rank) values (2, 18,2)
insert indicatordata (dataid, value, indicatorid) values (7, '1015', 2)
insert indicatordata (dataid, value, indicatorid) values (8, '15', 2)
insert indicatordata (dataid, value, indicatorid) values (9, '12', 2)
insert indicatordata (dataid, value, indicatorid) values (10, '187', 2)
insert indicatordata (dataid, value, indicatorid) values (11, '50', 2)
insert datafields (dataid, fieldid) values (7, 11)
insert datafields (dataid, fieldid) values (7, 13)
insert datafields (dataid, fieldid) values (7, 16)
insert datafields (dataid, fieldid) values (8, 10)
insert datafields (dataid, fieldid) values (8, 13)
insert datafields (dataid, fieldid) values (8, 17)
insert datafields (dataid, fieldid) values (9, 10)
insert datafields (dataid, fieldid) values (9, 14)
insert datafields (dataid, fieldid) values (9, 18)
insert datafields (dataid, fieldid) values (10, 11)
insert datafields (dataid, fieldid) values (10, 13)
insert datafields (dataid, fieldid) values (10, 16)
insert datafields (dataid, fieldid) values (11, 10)
insert datafields (dataid, fieldid) values (11, 14)
insert datafields (dataid, fieldid) values (11, 16)
**Acutal Output we got is **
select a.dataid,value,df.fieldid,name from indicatordata a INNER JOIN datafields df on a.dataid=df.dataid
INNER JOIN fields f ON df.fieldid=f.id INNER JOIN indicatorfields indFields ON indFields.fieldid=df.fieldid
where a.indicatorid=2 and indFields.indicatorid=2 order by a.dataid
We need to order the fields based on the indicatorfield & field table
Expected Output should be like this
I am sorry if the answer has been posted already, but I was not able to find the answer even after searching.
I have the following table
CREATE TABLE [dbo].[emp](
[id] [int] NOT NULL,
[name] [varchar](20) NULL,
[mgrid] [int] NULL
) ON [PRIMARY]
With data
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (1, N'a', 0)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (2, N'a1', 1)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (3, N'a11', 2)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (4, N'a12', 2)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (5, N'a13', 2)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (6, N'a2', 1)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (7, N'a3', 1)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (8, N'a31', 7)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (9, N'a32', 7)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (10, N'b', 0)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (11, N'b1', 10)
INSERT [dbo].[emp] ([id], [name], [mgrid]) VALUES (12, N'b2', 10)
And I would like the following output
a
a1
a11
a12
a13
a2
a3
a31
a32
b
b1
b2
Is this possible in SQL Server?
SQLFiddle demo
You can use ' ' instead of '+' in the last line to pad a string.
with t as
(
select id,name,mgrid,1 as level,cast(name as varchar(max)) as path
from emp where mgrid=0
union all
select emp.id,emp.name,emp.mgrid, t.level+1 as level,
t.path+cast(emp.name as varchar(max)) as path
from emp
join t on emp.mgrid=t.id
)
select replicate('+', level)+name from t order by path
with CTE as
(
select *
, level = 1
from emp
where mgrid = 0
union all
select emp.id,
name = cast(space((level) * 3) + emp.name as varchar(20)),
emp.mgrid,
level = level + 1
from emp
inner join CTE on CTE.id = emp.mgrid
)
select name
from CTE
order by ltrim(name)
Query:
DECLARE #temp TABLE
(
[id] [int] NOT NULL,
[name] [varchar](20) NULL,
[mgrid] [int] NULL
)
INSERT INTO #temp ([id], [name], [mgrid])
VALUES
(1, N'a', 0), (2, N'a1', 1),
(3, N'a11', 2), (4, N'a12', 2),
(5, N'a13', 2), (6, N'a2', 1),
(7, N'a3', 1), (8, N'a31', 7),
(9, N'a32', 7), (10, N'b', 0),
(11, N'b1', 10), (12, N'b2', 10)
DECLARE #out VARCHAR(MAX) = ''
;WITH cte AS
(
SELECT *, Lvl = 0, nn = CAST(name AS VARCHAR(MAX))
FROM #temp
WHERE mgrid = 0
UNION ALL
SELECT t.*, c.Lvl + 1, nn = CAST(REPLICATE(' ', c.Lvl + 1) + t.name AS VARCHAR(MAX))
FROM #temp t
JOIN cte c ON c.id = t.mgrid
)
SELECT #out = (
SELECT nn + CHAR(13)
FROM cte
ORDER BY LTRIM(nn)
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)')
PRINT #out
Output:
a
a1
a11
a12
a13
a2
a3
a31
a32
b
b1
b2
You can use CTE (Comnon table expression to achieve this)
check this sample code:
declare #emp table(
[id] [int] NOT NULL,
[name] [varchar](20) NULL,
[mgrid] [int] NULL
)
INSERT #emp ([id], [name], [mgrid]) VALUES (1, N'a', 0)
INSERT #emp ([id], [name], [mgrid]) VALUES (2, N'a1', 1)
INSERT #emp ([id], [name], [mgrid]) VALUES (3, N'a11', 2)
INSERT #emp ([id], [name], [mgrid]) VALUES (4, N'a12', 2)
INSERT #emp ([id], [name], [mgrid]) VALUES (5, N'a13', 2)
INSERT #emp ([id], [name], [mgrid]) VALUES (6, N'a2', 1)
INSERT #emp ([id], [name], [mgrid]) VALUES (7, N'a3', 1)
INSERT #emp ([id], [name], [mgrid]) VALUES (8, N'a31', 7)
INSERT #emp ([id], [name], [mgrid]) VALUES (9, N'a32', 7)
INSERT #emp ([id], [name], [mgrid]) VALUES (10, N'b', 0)
INSERT #emp ([id], [name], [mgrid]) VALUES (11, N'b1', 10)
INSERT #emp ([id], [name], [mgrid]) VALUES (12, N'b2', 10);
with cte (id,name, MGRID) as
(
select id, name,MGRID
from #emp
union all
select c.id, c.name, c.MGRID
from #emp c
inner join cte p
on c.mgrid = P.id
)
SELECT Distinct * FROM CTE
WITH RCTE AS
(
SELECT id, name, mgrid, CAST('' AS NVARCHAR(MAX)) AS blanks , CAST(name AS NVARCHAR(MAX)) AS ordr
FROM dbo.emp WHERE mgrid = 0
UNION ALL
SELECT e.id, e.name, e.mgrid, blanks + ' ' AS blanks, ordr + e.name AS ordr
FROM dbo.emp e
INNER JOIN RCTE r ON e.mgrid = r.id
)
SELECT blanks + name FROM RCTE
ORDER BY ordr
This is my sample table and values:
CREATE TABLE [dbo].[Test]
(
[Id] BIGINT NOT NULL DEFAULT(0),
[VId] BIGINT NOT NULL DEFAULT(0),
[Level] INT NOT NULL DEFAULT(0)
);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (100, 1, 1);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (101, 1, 2);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (102, 1, 3);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (103, 2, 1);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (104, 3, 1);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (105, 3, 2);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (106, 4, 1);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (107, 4, 2);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (108, 4, 3);
INSERT INTO [dbo].[Test] ([Id], [VId], [Level]) VALUES (109, 4, 4);
So at now I use this script:
SELECT
[T].[VId], MAX ([T].[Level]) AS [MaxLevel]
FROM
[dbo].[Test] AS [T]
GROUP BY
[T].[VId];
And it returns:
VId MaxLevel
1 3
2 1
3 2
4 4
But I need Id column also and I can't add it to Group by script, I need the following values:
VId MaxLevel Id
1 3 102
2 1 103
3 2 105
4 4 109
What is your suggestion?
Also The following values is enough The Id's With Max(Level) in any VId :
Id
102
103
105
109
A 2008 take on the question, since that's what you're working with:
declare #Test table
(
[Id] BIGINT NOT NULL DEFAULT(0),
[VId] BIGINT NOT NULL DEFAULT(0),
[Level] INT NOT NULL DEFAULT(0)
);
INSERT INTO #Test ([Id], [VId], [Level])
VALUES (100, 1, 1),(101, 1, 2),(102, 1, 3),(103, 2, 1),(104, 3, 1),
(105, 3, 2),(106, 4, 1),(107, 4, 2),(108, 4, 3),(109, 4, 4);
;With Numbered as (
select *,
RANK() OVER (PARTITION BY VId ORDER BY [Level] desc) as rn
from #Test)
select VId,Level,Id from Numbered where rn=1
Note that (as with the other solutions) this will output multiple rows per VId if there are two rows with the same maximum level. If you don't want that, switch RANK() to ROW_NUMBER() and an arbitrary one will win - or if you want a specific winner in the case of a tie, add that condition into the ORDER BY of the window function.
Use joining with the same table by VId column
something like this:
SELECT [T].[VId], [T].[MaxLevel], [T1].[Id]
FROM [dbo].[Test] AS [T1] JOIN
(SELECT [T].[VId], MAX ([T].[Level]) AS [MaxLevel]
FROM [dbo].[Test] AS [T]
GROUP BY [T].[VId]) AS [T]
ON [T1].[VId] = [T].[VId]
AND [T1].[Level] = [T].[MaxLevel]
ORDER BY [T].[VId];
the result will be:
VId MaxLevel Id
1 3 102
2 1 103
3 2 105
4 4 109
Use this:
WITH LastLevels AS
(
SELECT
[T].[VId] AS [VID],
MAX ([T].[Level]) AS [MaxLevel]
FROM [dbo].[Test] AS [T]
GROUP BY [T].[VId]
)
SELECT [LastLevels].[VID],[LastLevels].[MaxLevel], [Te].[Id]
FROM [dbo].[Test] AS [Te]
INNER JOIN [LastLevels]
ON [LastLevels].[VID]=[Te].[VId]
AND [LastLevels].[MaxLevel]=[Te].[Level]
ORDER BY [LastLevels].[VID];
SELECT ID, [VId], [MaxLevel] From
(
SELECT
[T].[VId], MAX ([T].[Level]) AS [MaxLevel]
FROM
[dbo].[Test] AS [T]
GROUP BY
[T].[VId]
)K
INNER JOIN [Test] T on T.[VId] = K.[VId] and T.[Level] = K.MaxLevel