I have this table and i want to ge the data from current month.
This is the table:
CREATE TABLE [dbo].[CSEReduxResponses](
[response_id] [int] IDENTITY(1,1) NOT NULL,
[submitterdept] [int] NOT NULL,
[commentdate] [datetime] NOT NULL,
[status] [int] NOT NULL,
[approvedby] [int] NULL,
[approveddate] [datetime] NULL,
[execoffice_approvedby] [int] NULL,
CONSTRAINT [PK_CSE_Responses] PRIMARY KEY CLUSTERED
(
I want to get the data where
status=1 and execoffice_status=0 and the current date.I want to use the approveddata column to get the date.
Right now I have
select * from CSEReduxResponses WHERE STATUS=1 AND EXECOFFICE_STATUS=0;
I have Microsoft sql server 2008
Microsoft SQL Server Management Studio 10.0.2531.0
Add AND MONTH([approveddate]) = MONTH(GETDATE()) AND YEAR([approveddate]) = YEAR(GETDATE()) to your where clause, assuming [approveddate] is the date you're interested in.
It is simple:
SELECT *
FROM CSEReduxResponses
WHERE STATUS = 1
AND EXECOFFICE_STATUS = 0;
AND MONTH(commentdate) = MONTH(GETDATE())
AND YEAR(commentdate) = YEAR(GETDATE())
Related
Had a quick browse to see if any previous questions related to my issue, couldn't see any.
Basically I'm doing this database for my online Cert IV course and if I weren't completely stuck (as I have been for the past few months) I wouldn't be asking for major help on this
I've got an Antiques database that is supposed to show the Customer Name, Sales Date, Product Name and Sales Price and only list the items that were sold between 2 dates and order them by said dates. Nothing I do results in not having repeat data
I've got 4 tables for this particular query Customers, Sales and Products, Tables are set up like this:
CREATE TABLE [dbo].[Customers](
[CustID] [int] IDENTITY(1,1) NOT NULL,
[firstName] [varchar](50) NOT NULL,
[lastName] [varchar](50) NOT NULL,
CONSTRAINT [PK_Customers] PRIMARY KEY CLUSTERED
CREATE TABLE [dbo].[Sales](
[SalesNo] [int] IDENTITY(1,1) NOT NULL,
[CustID] [int] NOT NULL,
[salesDate] [date] NOT NULL,
CONSTRAINT [PK_Sales] PRIMARY KEY CLUSTERED
CREATE TABLE [dbo].[Products](
[ProductID] [int] IDENTITY(1,1) NOT NULL,
[prodName] [varchar](50) NOT NULL,
[prodYear] [int] NOT NULL,
[prodType] [varchar](50) NOT NULL,
[salesPrice] [money] NOT NULL,
CONSTRAINT [PK_Products] PRIMARY KEY CLUSTERED
CREATE TABLE [dbo].[ProductSales](
[ProductID] [int] NOT NULL,
[SalesNo] [int] NOT NULL
My query looks like this
SELECT (Customers.firstName + ' ' + Customers.lastName) AS Customers_Name,
Sales.salesDate, Products.prodName, Sales.salesPrice
FROM Customers, ProductSales JOIN Products ON ProductSales.ProductID = Products.ProductID
JOIN Sales ON ProductSales.SalesNo = Sales.SalesNo
WHERE Sales.salesDate BETWEEN '2016-06-03' AND '2016-06-06'
ORDER BY Sales.salesDate
This is what shows up when I run this query:
Any help would be appreciated.
Try below - you need to join customer table properly
SELECT (Customers.firstName + ' ' + Customers.lastName) AS Customers_Name,
Sales.salesDate, Products.prodName, Sales.salesPrice
FROM ProductSales JOIN Products ON ProductSales.ProductID = Products.ProductID
JOIN Sales ON ProductSales.SalesNo = Sales.SalesNo
JOIN Customers on Sales.[CustID]=Customers.[CustID]
WHERE Sales.salesDate BETWEEN '2016-06-03' AND '2016-06-06'
ORDER BY Sales.salesDate
I have 2 table called tblSetting and tblPaquets.
I need to update 3 fields of tblPaquets from tblSetting base on a where clause that use a datetime field of tblPaquest and tblSetting.
The sql below is to represent what I am trying to do and I know it make no sense right now.
My Goal is to have One query to achieve this goal.
I need to extract the data from tblSettings like this
SELECT TOP(1) [SupplierID],[MillID],[GradeFamilyID] FROM [tblSettings]
WHERE [DateHeure] <= [tblPaquets].[DateHeure]
ORDER BY [DateHeure] DESC
And Update tblPaquets with this data
UPDATE [tblPaquets]
SET( [SupplierID] = PREVIOUS_SELECT.[SupplierID]
[MillID] = PREVIOUS_SELECT.[MillID]
[GradeFamilly] = PREVIOUS_SELECT.[GradeFamilyID] )
Here the table design
CREATE TABLE [tblSettings](
[ID] [int] NOT NULL,
[SupplierID] [int] NOT NULL,
[MillID] [int] NOT NULL,
[GradeID] [int] NOT NULL,
[TypeID] [int] NOT NULL,
[GradeFamilyID] [int] NOT NULL,
[DateHeure] [datetime] NOT NULL,
[PeakWetEnable] [tinyint] NULL)
CREATE TABLE [tblPaquets](
[ID] [int] IDENTITY(1,1) NOT NULL,
[PaquetID] [int] NOT NULL,
[DateHeure] [datetime] NULL,
[BarreCode] [int] NULL,
[Grade] [tinyint] NULL,
[SupplierID] [int] NULL,
[MillID] [int] NULL,
[AutologSort] [tinyint] NULL,
[GradeFamilly] [int] NULL)
You can do this using CROSS APPLY:
UPDATE p
SET SupplierID = s.SupplierID,
MillID = s.MillID
GradeFamilly = s.GradeFamilyID
FROM tblPaquets p CROSS APPLY
(SELECT TOP (1) s.*
FROM tblSettings s
WHERE s.DateHeure <= p.DateHeure
ORDER BY p.DateHeure DESC
) s;
Notes:
There are no parentheses before SET.
I don't recommend using [ and ] to escape identifiers, unless they need to be escaped.
I presume the query on tblSettings should have an ORDER BY to get the most recent rows.
Is there any difference in how I edit the GROUP BY command?
my code:
SELECT Number, Id
FROM Table
WHERE(....)
GROUP BY Id, Number
is it faster if i edit it like this:
SELECT Number, Id
FROM Table
WHERE(....)
GROUP BY Number , Id
it's better to use DISTINCT if you don't want to aggregate data. Otherwise, there is no difference between the two queries you provided, it'll produce the same query plan
This examples are equal.
DDL:
CREATE TABLE dbo.[WorkOut]
(
[WorkOutID] [bigint] IDENTITY(1,1) NOT NULL PRIMARY KEY,
[TimeSheetDate] [datetime] NOT NULL,
[DateOut] [datetime] NOT NULL,
[EmployeeID] [int] NOT NULL,
[IsMainWorkPlace] [bit] NOT NULL,
[DepartmentUID] [uniqueidentifier] NOT NULL,
[WorkPlaceUID] [uniqueidentifier] NULL,
[TeamUID] [uniqueidentifier] NULL,
[WorkShiftCD] [nvarchar](10) NULL,
[WorkHours] [real] NULL,
[AbsenceCode] [varchar](25) NULL,
[PaymentType] [char](2) NULL,
[CategoryID] [int] NULL
)
Query:
SELECT wo.WorkOutID, wo.TimeSheetDate
FROM dbo.WorkOut wo
GROUP BY wo.WorkOutID, wo.TimeSheetDate
SELECT DISTINCT wo.WorkOutID, wo.TimeSheetDate
FROM dbo.WorkOut wo
SELECT wo.DateOut, wo.EmployeeID
FROM dbo.WorkOut wo
GROUP BY wo.DateOut, wo.EmployeeID
SELECT DISTINCT wo.DateOut, wo.EmployeeID
FROM dbo.WorkOut wo
Execution plan:
I have an Equipment table in SQL Server 2008 like this:
CREATE TABLE [dbo].[Equipment](
[EquipmentID] [nchar](10) NOT NULL,
[EquipmentName] [nchar](50) NOT NULL,
[ProducedDate] [date] NOT NULL,
[WarrantyPeriod] [int] NOT NULL,
[SerialNumber] [nchar](20) NOT NULL,
[BrandID] [tinyint] NOT NULL,
CONSTRAINT [PK_Equipment] PRIMARY KEY CLUSTERED
)
I want to have a computed column WarrantyStatus that will return either Unexpired or Expired when calculating, based on columns ProducedDate and WarrantyPeriod.
This is wrong, but it's what I want:
ALTER TABLE [dbo].[Equipment]
ADD [WarrantyStatus] AS IIF(DATEDIFF(MONTH, [ProducedDate], GETDATE()) < [WarrantyPeriod], "Unexpired", "Expired")
Try:
ALTER TABLE [dbo].[Equipment]
ADD [WarrantyStatus] AS
case when DATEDIFF(MONTH, [ProducedDate], GETDATE()) < [WarrantyPeriod]
then 'Unexpired'
else 'Expired'
end
I have the following table:
CREATE TABLE [dbo].[PartsWork](
[parts_work_id] [int] IDENTITY(1,1) NOT NULL,
[experiment_id] [int] NOT NULL,
[partition_id] [int] NULL,
[part_id] [int] NOT NULL,
[sim_time] [int] NULL,
[real_time] [datetime] NULL,
[construction] [bit] NULL,
[destruction] [bit] NULL,
[duration] [int] NULL )
I want to write a SQL that outputs the part_id, number of times construction is = 1 and number of times destruction is = 1 for a given experiment_id AND partition_id.
I can do this using multi-statement table valued functions and a loop, but I would like to be able to do this in a single SQL. Is this possible?
To give all part_id values, you need the OVER clause on the COUNT (this is an inline aggregation without using GROUP BY)
SELECT
part_id,
COUNT(CASE WHEN construction = 1 THEN 1 END) OVER () AS CountConstructionIs1,
COUNT(CASE WHEN destruction = 1 THEN 1 END) OVER () AS CountDestructionIs1
FROM
[dbo].[PartsWork]
WHERE
experiment_id = #experiment_id
AND
partition_id = #partition_id
See MSDN for more