April 11, 2013 at 5:51 am
Hi there
I have 2 tables and sample data:
--------------------------------------------------------------------------------------------------------------------------------------------------------
CREATE TABLE [dbo].[tblProduct](
[ProductID] [int] IDENTITY(1,1) NOT NULL,
[Name] [varchar](50) NOT NULL,
CONSTRAINT [PK_tblProduct] PRIMARY KEY CLUSTERED
(
[ProductID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
--------------------------------------------------------------------------------------------------------------------------------------------------------
CREATE TABLE [dbo].[tblOrder](
[OrderID] [int] IDENTITY(1,1) NOT NULL,
[ProductID] [int] NOT NULL,
[OrderDate] [datetime] NOT NULL,
CONSTRAINT [PK_tblOrder] PRIMARY KEY CLUSTERED
(
[OrderID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
--------------------------------------------------------------------------------------------------------------------------------------------------------
INSERT INTO tblProduct (Name) VALUES('Coffee')
INSERT INTO tblProduct (Name) VALUES('Tea')
INSERT INTO tblProduct (Name) VALUES('Lager')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-01-01 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-01-08 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (2, '2013-01-08 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (3, '2013-01-09 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-01-10 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (2, '2013-01-10 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (3, '2013-01-11 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-01-11 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (2, '2013-01-15 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-01-18 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-01-30 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (2, '2013-05-01 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (3, '2013-07-15 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-09-23 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-10-01 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-10-08 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (2, '2013-10-11 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-11-01 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (3, '2013-11-06 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-11-08 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (3, '2013-12-10 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-12-25 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (2, '2013-12-30 09:00:00')
INSERT INTO tblOrder (ProductID, OrderDate) VALUES (1, '2013-12-30 09:00:00')
--------------------------------------------------------------------------------------------------------------------------------------------------------
I need to generate report which shows number of orders for each ProductID for each week in year 2013. Ideally would be to generate 54 weeks as pivot table so week1, week2 would be columns and 3 rows for 3 products and order count for each product each week.
Product
April 11, 2013 at 6:23 am
-- Query 1 have a gander at the data
SELECT
o.*,
p.Name,
x.CurrWeek
FROM tblOrder o
LEFT JOIN tblProduct p ON p.ProductID = o.ProductID
CROSS APPLY (SELECT CurrWeek = DATEPART(week,o.OrderDate)) x
WHERE o.OrderDate >= '2013-01-01 00:00:00.000'
AND o.OrderDate < '2014-01-01 00:00:00.000'
-- Query 2 calculate the week number and try aggregate
SELECT
p.Name,
[rows] = COUNT(*),
x.CurrWeek
FROM tblOrder o
LEFT JOIN tblProduct p ON p.ProductID = o.ProductID
CROSS APPLY (SELECT CurrWeek = DATEPART(week,OrderDate)) x
WHERE o.OrderDate >= '2013-01-01 00:00:00.000'
AND o.OrderDate < '2014-01-01 00:00:00.000'
GROUP BY p.Name, x.CurrWeek
-- Query 3 solution: set up crosstab, compare results to Query 2
SELECT
p.Name,
week01 = SUM(CASE WHEN x.CurrWeek = 1 THEN 1 END),
week02 = SUM(CASE WHEN x.CurrWeek = 2 THEN 1 END),
week03 = SUM(CASE WHEN x.CurrWeek = 3 THEN 1 END),
week04 = SUM(CASE WHEN x.CurrWeek = 4 THEN 1 END),
week53 = SUM(CASE WHEN x.CurrWeek = 53 THEN 1 END),
week54 = SUM(CASE WHEN x.CurrWeek = 54 THEN 1 END)
FROM tblOrder o
LEFT JOIN tblProduct p ON p.ProductID = o.ProductID
CROSS APPLY (SELECT CurrWeek = DATEPART(week,o.OrderDate)) x
WHERE o.OrderDate >= '2013-01-01 00:00:00.000'
AND o.OrderDate < '2014-01-01 00:00:00.000'
GROUP BY p.Name
For fast, accurate and documented assistance in answering your questions, please read this article.
Understanding and using APPLY, (I) and (II) Paul White
Hidden RBAR: Triangular Joins / The "Numbers" or "Tally" Table: What it is and how it replaces a loop Jeff Moden
April 11, 2013 at 6:41 am
Brilliant!!
That's what i needed.
Thanks a lot!
April 11, 2013 at 7:22 am
You're welcome. Thanks loads for posting a sample data script - it doesn't half make a difference 🙂
For fast, accurate and documented assistance in answering your questions, please read this article.
Understanding and using APPLY, (I) and (II) Paul White
Hidden RBAR: Triangular Joins / The "Numbers" or "Tally" Table: What it is and how it replaces a loop Jeff Moden
April 17, 2013 at 7:21 am
What about if I want same scenario between 1.4.2013 and 14.42013? So each day within this date range is displayed as column?
April 18, 2013 at 1:12 am
roman 19626 (4/17/2013)
What about if I want same scenario between 1.4.2013 and 14.42013? So each day within this date range is displayed as column?
Can you show what you mean by this, using a script?
For fast, accurate and documented assistance in answering your questions, please read this article.
Understanding and using APPLY, (I) and (II) Paul White
Hidden RBAR: Triangular Joins / The "Numbers" or "Tally" Table: What it is and how it replaces a loop Jeff Moden
April 18, 2013 at 2:08 am
Hi
Exactly same tables and data. But instead of having 'week1', 'week2' etc as columns I would like to have dates for example '01.04.2013', '02.04.2013', etc. I need to be able selected date range so If I select between 01.04.2013 to 30.04.2013 I will have 30 columns starting with column '01.04.2013' and finishing with '30.04.2013'. I need same output but instead of weekly report I need daily report within date range.
Viewing 7 posts - 1 through 6 (of 6 total)
You must be logged in to reply to this topic. Login to reply