Related
I have a table named tasks inside is
id
tasks
tasks_status
task_date
The tasks statuses are "done","pending","forwarded","cancelled".
How can I query the table of counting all the done, all the pending, all the forwarded and all cancelled.
I tried doing all the tweaks from COUNT but to no avail. It's been 2 hours of looking for a way. Please help
My goal is to specifically count only those DONE, I can get the count of all the specifics but just would need to show the total count of done (for example)
Group by is better but if you just want the ones specified as 'Done' the below should work.
SELECT COUNT(*) FROM TASTS WHERE TASKS_STATUS='done'
Select what you want with count and Group Them.
SELECTS tasks_status, count(tasks_status) FROM status GROUP BY tasks_status;
select tasks_status, count(*) from tasks group by tasks_status
http://sqlfiddle.com/#!17/1e27e/4/0
If you want to get all counts then you need to use group by but if you want to get count of just one item then group by is not required.
Following is query to generate scenario
CREATE TABLE [dbo].[tasks](
[id] [int] IDENTITY(1,1) NOT NULL,
[tasks] [varchar](50) NULL,
[tasks_status] [varchar](50) NULL,
[task_date] [date] NULL,
PRIMARY KEY CLUSTERED
(
[id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET IDENTITY_INSERT [dbo].[tasks] ON
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (1, N'task1', N'pending', CAST(N'2022-09-30' AS Date))
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (2, N'task2', N'forwarded', CAST(N'2022-09-30' AS Date))
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (3, N'task3', N'pending', CAST(N'2022-09-30' AS Date))
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (4, N'task4', N'done', CAST(N'2022-09-30' AS Date))
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (5, N'task5', N'done', CAST(N'2022-09-30' AS Date))
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (6, N'task6', N'cancelled', CAST(N'2022-09-30' AS Date))
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (7, N'task7', N'done', CAST(N'2022-09-30' AS Date))
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (8, N'task8', N'forwarded', CAST(N'2022-09-30' AS Date))
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (9, N'task9', N'pending', CAST(N'2022-09-30' AS Date))
GO
INSERT [dbo].[tasks] ([id], [tasks], [tasks_status], [task_date]) VALUES (10, N'task10', N'done', CAST(N'2022-09-30' AS Date))
GO
SET IDENTITY_INSERT [dbo].[tasks] OFF
GO
You can use group by if you want to get count of all unique tasks_status or some of tasks_status using following query
For All
SELECT tasks_status, count(tasks_status) FROM dbo.tasks GROUP BY tasks_status;
For done and pending
SELECT tasks_status, count(tasks_status) FROM dbo.tasks
WHERE tasks_status IN ('done','pending')
GROUP BY tasks_status
if you want to get count for done only then you can use either of the following. Use group by if you want to use other columns in select, else if you want to get just count and no other column then just 2nd query without group by
SELECT tasks_status, count(tasks_status) FROM dbo.tasks
WHERE tasks_status = 'done'
GROUP BY tasks_status
or
SELECT COUNT(tasks_status) FROM dbo.tasks WHERE tasks_status='done'
This is a variant of the SQLzoo tutorial.
'world' table contains fields
'population'(assigned to each country),
'name' (all countries) and
'continent' (assigned to each country).
Expected output is a table as shown below
Continent
Most_populous
Least_populous
Africa
Ghana
xyz
Asia
China
abc
I did try a complicated function as below, but was not able to get it to work due to "SQL error". Not sure why.
SELECT DISTINCT continent
, (SELECT x.name
FROM world x
WHERE x.population = (SELECT max(y.population)
FROM world y
WHERE x.continent = y.continent)) AS most_populous
, (SELECT z.name
FROM world z
WHERE z.population = (SELECT min(a.population)
FROM world a
WHERE a.continent=z.continent)) AS least_populous FROM world;
Is there an easier way to get the required output?
You can try this:
SELECT world.continent,
(SELECT x.name
FROM world x
WHERE x.population = (SELECT max(y.population)
FROM world y
WHERE x.continent = y.continent)
AND world.continent = x.continent
) AS most_populous,
(SELECT z.name
FROM world z
WHERE z.population = (SELECT min(a.population)
FROM world a
WHERE z.continent = a.continent)
AND world.continent = z.continent
) AS least_populous
FROM world
GROUP BY world.continent;
Thank you
Since I did not had the tables with me, I ended up creating one. It would be better if you could include table and data creation scripts in question. Second, this is going to be a fairly small table so I am not going to worry about performance. I would create a view based on this query and that will be good enough.
Table creation scripts:
USE [StackOverflow]
GO
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[CountryPopulation]') AND type in (N'U'))
DROP TABLE [dbo].[CountryPopulation]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[CountryPopulation](
[ID] [int] IDENTITY(1,1) NOT NULL,
[Name] [nvarchar](max) NULL,
[Continent] [nvarchar](max) NULL,
[Population] [int] NULL,
CONSTRAINT [PK_CountryPopulation] PRIMARY KEY CLUSTERED
(
[ID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
USE [StackOverflow]
GO
SET IDENTITY_INSERT [dbo].[CountryPopulation] ON
GO
INSERT [dbo].[CountryPopulation] ([ID], [Name], [Continent], [Population]) VALUES (1, N'C1', N'Asia', 100)
GO
INSERT [dbo].[CountryPopulation] ([ID], [Name], [Continent], [Population]) VALUES (2, N'C2', N'Asia', 200)
GO
INSERT [dbo].[CountryPopulation] ([ID], [Name], [Continent], [Population]) VALUES (3, N'C3', N'Asia', 300)
GO
INSERT [dbo].[CountryPopulation] ([ID], [Name], [Continent], [Population]) VALUES (4, N'C4', N'Europe', 100)
GO
INSERT [dbo].[CountryPopulation] ([ID], [Name], [Continent], [Population]) VALUES (5, N'C5', N'Europe', 200)
GO
INSERT [dbo].[CountryPopulation] ([ID], [Name], [Continent], [Population]) VALUES (6, N'C6', N'Europe', 300)
GO
INSERT [dbo].[CountryPopulation] ([ID], [Name], [Continent], [Population]) VALUES (7, N'C7', N'Africa', 100)
GO
INSERT [dbo].[CountryPopulation] ([ID], [Name], [Continent], [Population]) VALUES (8, N'C8', N'Africa', 200)
GO
INSERT [dbo].[CountryPopulation] ([ID], [Name], [Continent], [Population]) VALUES (9, N'C9', N'Africa', 200)
GO
SET IDENTITY_INSERT [dbo].[CountryPopulation] OFF
GO
Query to get result:
SELECT MinMax.Continent,
ForLeast.[name] AS LeastPopulous,
ForMost.[name] AS MostPopulous
FROM CountryPopulation ForMost JOIN
CountryPopulation ForLeast JOIN
( SELECT DISTINCT Continent,
MIN([population]) OVER(PARTITION BY continent) AS LeastPopulation,
MAX([population]) OVER(PARTITION BY continent) AS MaxPopulation
FROM CountryPopulation) MinMax
ON ForLeast.Continent = MinMax.Continent AND ForLeast.[Population] = MinMax.LeastPopulation
ON ForMost.Continent = MinMax.Continent AND ForMost.[Population] = MinMax.MaxPopulation
Note the results for Africa. There are 2 rows. It is possible for more than one country to have least or most population. You would want to think on how to handle that scenario.
I have 2 tables in SQL Server and I would like to get all possible combinations by their IDs even when the second one has no records, I would like to know if there is a better solution than mine.
My 2 tables are:
Companies (CompanyId, Tot1, Tot2) with 10 records
Motors (MotorId, CompanyId_FK, TotSales1, TotSales2) with 4 records
, here the script to create and populate them:
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Companies](
[CompanyId] [int] IDENTITY(1,1) NOT NULL,
[Tot1] [int] NOT NULL,
[Tot2] [int] NOT NULL,
CONSTRAINT [PK_Companies] PRIMARY KEY CLUSTERED
(
[CompanyId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object: Table [dbo].[Motors] Script Date: 10/15/2021 9:18:31 AM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Motors](
[MotorId] [int] IDENTITY(1,1) NOT NULL,
[CompanyId] [int] NOT NULL,
[TotSales1] [int] NOT NULL,
[TotSales2] [int] NOT NULL,
CONSTRAINT [PK_Motors] PRIMARY KEY CLUSTERED
(
[MotorId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET IDENTITY_INSERT [dbo].[Companies] ON
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (1, 300, 200)
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (2, 400, 100)
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (3, 500, 100)
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (4, 600, 200)
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (5, 700, 500)
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (6, 800, 400)
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (7, 900, 300)
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (8, 50, 20)
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (9, 80, 20)
GO
INSERT [dbo].[Companies] ([CompanyId], [Tot1], [Tot2]) VALUES (10, 40, 10)
GO
SET IDENTITY_INSERT [dbo].[Companies] OFF
GO
SET IDENTITY_INSERT [dbo].[Motors] ON
GO
INSERT [dbo].[Motors] ([MotorId], [CompanyId], [TotSales1], [TotSales2]) VALUES (1, 4, 35, 23)
GO
INSERT [dbo].[Motors] ([MotorId], [CompanyId], [TotSales1], [TotSales2]) VALUES (2, 5, 140, 70)
GO
INSERT [dbo].[Motors] ([MotorId], [CompanyId], [TotSales1], [TotSales2]) VALUES (3, 7, 200, 24)
GO
INSERT [dbo].[Motors] ([MotorId], [CompanyId], [TotSales1], [TotSales2]) VALUES (4, 9, 2, 1)
GO
SET IDENTITY_INSERT [dbo].[Motors] OFF
GO
ALTER TABLE [dbo].[Motors] WITH CHECK ADD CONSTRAINT [FK_Motors_Companies] FOREIGN KEY([CompanyId])
REFERENCES [dbo].[Companies] ([CompanyId])
GO
ALTER TABLE [dbo].[Motors] CHECK CONSTRAINT [FK_Motors_Companies]
GO
I need as result set a list of all possible combination containing a Motor and a Company even when there is no sales:
CompanyId
MotorId
Tot1
Tot2
TotSales1
TotSales2
4
1
600
200
35
23
4
2
600
200
NULL
NULL
4
3
600
200
NULL
NULL
4
4
600
200
NULL
NULL
I created a CTE by CROSS JOIN with only CompanyId and MotorId and then I joined the other 2 in this way:
;WITH myTable AS (
SELECT Companies.CompanyId, MotorId
FROM Companies CROSS JOIN Motors
GROUP BY Companies.CompanyId, MotorId)
SELECT myTable.*, Tot1, Tot2, TotSales1,TotSales2 FROM myTable
INNER JOIN Companies ON myTable.CompanyId = Companies.CompanyId
LEFT OUTER JOIN Motors ON myTable.CompanyId = Motors.CompanyId AND myTable.MotorId = Motors.MotorId
Is there a better solution? To avoid misunderstanding: I can't change the sequence of the fields to map the results with a C# class.
You were so close to the answer... just do not do the GROUP BY in your CTE and you will get the result that you want:
;WITH myTable AS (
SELECT Companies.CompanyId, MotorId
FROM Companies CROSS JOIN Motors
)
SELECT myTable.*, Tot1, Tot2, TotSales1,TotSales2 FROM myTable
INNER JOIN Companies ON myTable.CompanyId = Companies.CompanyId
LEFT OUTER JOIN Motors ON myTable.CompanyId = Motors.CompanyId AND myTable.MotorId = Motors.MotorId
I am not sure why you thought you needed the GROUP BY, but since you wanted all possible combinations there is no need for it.
I need to Calculate the Opening and closing Balance Transaction. I have Three Tables OB, Purchase, and Usage. The unique Key of all tables is Product id. I need a stored procedure for blow results. Based on the Product id selected need to calculate the opening and closing balance.
Table Structure: Below code contains Table and sample data
USE [BMC]
GO
/****** Object: Table [dbo].[TBLProductOB] Script Date: 08-07-2021 01:20:11 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[TBLProductOB](
[Skey] [int] IDENTITY(1,1) NOT NULL,
[EntryDate] [date] NULL,
[Productid] [int] NULL,
[ProductOB] [decimal](12, 3) NULL,
CONSTRAINT [PK_TBLProductOB] PRIMARY KEY CLUSTERED
(
[Skey] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object: Table [dbo].[TBLProductPurchase] Script Date: 08-07-2021 01:20:11 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[TBLProductPurchase](
[Skey] [int] IDENTITY(1,1) NOT NULL,
[Entrydate] [date] NULL,
[Productid] [int] NULL,
[P_Purchase] [decimal](12, 3) NULL,
CONSTRAINT [PK_TBLProductPurchase] PRIMARY KEY CLUSTERED
(
[Skey] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object: Table [dbo].[TBLProductUsage] Script Date: 08-07-2021 01:20:11 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[TBLProductUsage](
[Skey] [int] IDENTITY(1,1) NOT NULL,
[Entrydate] [date] NULL,
[Productid] [int] NULL,
[P_Usage] [decimal](12, 3) NULL,
CONSTRAINT [PK_TBLProductUsage] PRIMARY KEY CLUSTERED
(
[Skey] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET IDENTITY_INSERT [dbo].[TBLProductOB] ON
INSERT [dbo].[TBLProductOB] ([Skey], [EntryDate], [Productid], [ProductOB]) VALUES (4, CAST(N'2021-04-01' AS Date), 3, CAST(100.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductOB] ([Skey], [EntryDate], [Productid], [ProductOB]) VALUES (6, CAST(N'2021-04-01' AS Date), 1, CAST(10.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductOB] ([Skey], [EntryDate], [Productid], [ProductOB]) VALUES (7, CAST(N'2021-04-01' AS Date), 2, CAST(150.000 AS Decimal(12, 3)))
SET IDENTITY_INSERT [dbo].[TBLProductOB] OFF
SET IDENTITY_INSERT [dbo].[TBLProductPurchase] ON
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (1, CAST(N'2021-07-06' AS Date), 3, CAST(100.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (7, CAST(N'2021-07-01' AS Date), 3, CAST(50.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (8, CAST(N'2021-07-15' AS Date), 3, CAST(50.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (9, CAST(N'2021-07-01' AS Date), 1, CAST(1.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (10, CAST(N'2021-07-03' AS Date), 1, CAST(1.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (11, CAST(N'2021-07-05' AS Date), 1, CAST(3.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (12, CAST(N'2021-07-01' AS Date), 2, CAST(10.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (13, CAST(N'2021-07-02' AS Date), 2, CAST(10.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (14, CAST(N'2021-07-05' AS Date), 2, CAST(10.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductPurchase] ([Skey], [Entrydate], [Productid], [P_Purchase]) VALUES (15, CAST(N'2021-07-01' AS Date), 5, CAST(10.000 AS Decimal(12, 3)))
SET IDENTITY_INSERT [dbo].[TBLProductPurchase] OFF
SET IDENTITY_INSERT [dbo].[TBLProductUsage] ON
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (7, CAST(N'2021-07-01' AS Date), 3, CAST(10.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (8, CAST(N'2021-07-02' AS Date), 3, CAST(10.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (9, CAST(N'2021-07-08' AS Date), 3, CAST(10.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (10, CAST(N'2021-07-15' AS Date), 3, CAST(30.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (11, CAST(N'2021-07-01' AS Date), 2, CAST(2.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (12, CAST(N'2021-07-02' AS Date), 2, CAST(2.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (13, CAST(N'2021-07-03' AS Date), 2, CAST(2.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (14, CAST(N'2021-07-05' AS Date), 2, CAST(2.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (16, CAST(N'2021-07-01' AS Date), 1, CAST(2.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (17, CAST(N'2021-07-03' AS Date), 1, CAST(3.000 AS Decimal(12, 3)))
INSERT [dbo].[TBLProductUsage] ([Skey], [Entrydate], [Productid], [P_Usage]) VALUES (18, CAST(N'2021-07-04' AS Date), 2, CAST(2.000 AS Decimal(12, 3)))
SET IDENTITY_INSERT [dbo].[TBLProductUsage] OFF
Just tried: I don't know how to write a stored procedure for transaction-based. I was simply getting all the table results with the help of union.
Declare #1stOpeningBalance decimal(12,3)= (select ProductOB from TBLProductOB where Productid=2)
Select a.Entrydate,a.Productid,Lag(((Sum(a.Ob)+sum(a.Purchase))-sum(a.Usage)),1,#1stOpeningBalance) over (order by Entrydate asc) as Ob, sum(a.Purchase) as Purchase,(Sum(a.Ob)+sum(a.Purchase)) as Total, Sum(a.Usage) as Usage, ((Sum(a.Ob)+sum(a.Purchase))-sum(a.Usage)) as Cb from
(
select Entrydate,Productid,0 as Ob,Sum(Isnull(P_Purchase,0.000)) as Purchase,0 as Usage from TBLProductPurchase
group by EntryDate,Productid
union all
select Entrydate,Productid,0 as Ob,0 as Purchase,Sum(Isnull(P_Usage,0.000)) as Usage from TBLProductUsage
group by EntryDate,Productid
) as a
where Entrydate between '2021-07-01' and '2021-07-05' and Productid=2
group by a.EntryDate,a.Productid
Required Output Result:
You can use LEAD or LAG function to do this
Make sure you have only one record for the entry date. If you have multiple entries on the same date, you have to use a unique key to order
Assumption: you can calculate the closing balance and only opening balance needed to calcuate and need a system starting opening balance
Create table #temp_TBL(EntryDate date,Purchase decimal(18,2),total decimal(18,2),Usage decimal(18,2), CB decimal(18,2))
Declare #1stOpeningBalance decimal(18,2)=150
Insert into #temp_TBL (EntryDate,Purchase,total,Usage,CB)
values
('2021-07-01',10,160,2,158),
('2021-07-02',10,168,2,166),
('2021-07-03',0,166,2,164),
('2021-07-04',0,164,2,162),
('2021-07-05',10,172,2,170)
select EntryDate
,Lag(CB,1,#1stOpeningBalance) over (order by EntryDate ASC) as OB
,Purchase,total,Usage,CB from #temp_TBL
Output
Below is my table data looks like.
Below is SQL Query for Create table
CREATE TABLE [dbo].[CategoryMaster](
[CategoryId] [int] NOT NULL,
[ParentId] [int] NULL,
[Name] [varchar](50) NULL,
CONSTRAINT [PK_CategoryMaster] PRIMARY KEY CLUSTERED
(
[CategoryId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (1, NULL, N'Toys & Games')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (2, 1, N'Art And Crafts')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (3, 1, N'Baby & Toddler Toys')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (4, 1, N'Bikes, Trikes & Ride-Ons')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (5, 2, N'Aprons & Smocks')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (6, 2, N'Blackboards & Whiteboards')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (7, 2, N'Clay & Dough')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (8, 1, N'Pretend Play')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (9, 8, N'Kitchen Toys')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (10, 9, N'Cooking Appliances')
GO
INSERT [dbo].[CategoryMaster] ([CategoryId], [ParentId], [Name]) VALUES (11, 9, N'Cookware')
GO
ALTER TABLE [dbo].[CategoryMaster] WITH CHECK ADD CONSTRAINT [FK_CategoryMaster_CategoryMaster] FOREIGN KEY([ParentId])
REFERENCES [dbo].[CategoryMaster] ([CategoryId])
GO
ALTER TABLE [dbo].[CategoryMaster] CHECK CONSTRAINT [FK_CategoryMaster_CategoryMaster]
GO
I had tried many queries but not able to get desired result. can anyone please help me out from this situation?
I want output like below.
You can create a recursive function like below:
CREATE FUNCTION Create_Json(#CategoryId INT, #IsRoot INT)
RETURNS VARCHAR(MAX)
BEGIN
DECLARE #Json NVARCHAR(MAX) = '{}', #Name NVARCHAR(MAX), #Children NVARCHAR(MAX)
SET #Json = (SELECT P.[Name],JSON_QUERY(dbo.Create_Json(P.CategoryId, 2) ) AS Children
FROM [dbo].[CategoryMaster] AS P
WHERE P.ParentId = #CategoryId
FOR JSON AUTO);
IF(#IsRoot = 1)
BEGIN
SELECT #Name = P.[Name] FROM [dbo].[CategoryMaster] AS P WHERE P.CategoryId = #CategoryId
SET #Json = '"result": {"Name":"' + #Name + '","Children":' + CAST(#Json AS NVARCHAR(MAX)) + '}'
SET #IsRoot = 0
END
RETURN #Json
END
and call it like:
select dbo.Create_Json(1, 1)
Please find the db<>fiddle here.