I'm trying to anonymize all the data in my database, so I'm renaming all the people in it. I asked a similar question earlier, and was told to use NewID to force the creation of a new value per updated row, but in this situation it doesn't seem to be working.
What am I doing wrong?
-- Create Table Customer
CREATE TABLE #FirstName
(
ID int,
FirstName nvarchar(255) NULL,
Gender nvarchar(255) NULL
)
CREATE TABLE #LastName (
ID int,
LastName nvarchar(255)
)
-- BULK INSERT to import data from Text or CSV File
BULK INSERT #FirstName
FROM 'C:\Users\jhollon\Desktop\tmp\names\firstnames.lined.txt'
WITH
(
FIRSTROW = 1,
FIELDTERMINATOR = ',',
ROWTERMINATOR = '\n'
)
BULK INSERT #LastName
FROM 'C:\Users\jhollon\Desktop\tmp\names\lastnames.lined.txt'
WITH
(
FIRSTROW = 1,
FIELDTERMINATOR = ',',
ROWTERMINATOR = '\n'
)
/*SELECT FirstName FROM #FirstName WHERE ID = (
SELECT RandomNumber FROM (
SELECT ABS(CHECKSUM(NewID())) % 1500 AS RandomNumber FROM tblTenant WHERE Sex = '1'
) AS A
);*/
UPDATE tblTenant SET TenantName = (
SELECT LastName + ', ' + FirstName FROM
(SELECT UPPER(FirstName) as FirstName FROM #FirstName WHERE ID = (SELECT ABS(CHECKSUM(NewID())) % 500 + 1501)) AS A,
(SELECT LastName FROM #LastName WHERE ID = (SELECT ABS(CHECKSUM(NewID())) % 200 + 1)) as B
) WHERE Sex = '2';
UPDATE tblTenant SET TenantName = (
SELECT LastName + ', ' + FirstName FROM
(SELECT UPPER(FirstName) as FirstName FROM #FirstName WHERE ID = (SELECT ABS(CHECKSUM(NewID())) % 500 + 1)) AS A,
(SELECT LastName FROM #LastName WHERE ID = (SELECT ABS(CHECKSUM(NewID())) % 200 + 1)) as B
) WHERE Sex = '1';
DROP TABLE #FirstName;
DROP TABLE #LastName;
Correct. The subquery is evaluated once which is as advertised ("cachable scalar subquery")
Try this which uses NEWID as a derived table
UPDATE T
SET
TenantName = L.LastName + ', ' + F.FirstName
FROM
tblTenant T
CROSS APPLY
(SELECT TOP 1 UPPER(FirstName) as FirstName FROM #FirstName
WHERE CHECKSUM(NEWID()) <> T.ID
ORDER BY NEWID()) F
CROSS APPLY
(SELECT TOP 1 LastName FROM #LastName
WHERE CHECKSUM(NEWID()) <> T.ID
ORDER BY NEWID()) L
I'm not sure I understand your question, but if you want the ID to be unique values, you can make it an identity column.
Ex:
[ID] [int] IDENTITY(1,1) NOT NULL
The code below demonstrates that without an inner to outer correlation, that the old name is not guaranteed to differ from the new name when using the CROSS APPLY answer above.
WHERE F.Id <> T.Id ORDER BY NEWID() would be better within the FirstName CROSS APPLY
USE tempdb
GO
IF OBJECT_ID('tblTenant') IS NOT NULL
DROP TABLE tblTenant
GO
CREATE TABLE tblTenant
(
Id int,
FirstName nvarchar(20),
LastName nvarchar(20),
Gender bit
)
INSERT INTO tblTenant
VALUES (1, 'Bob' , 'Marley', 1),
(2, 'Boz' , 'Skaggs', 1)
SELECT DISTINCT FirstName
INTO #FirstNames
FROM tblTenant
SELECT DISTINCT LastName
INTO #LastNames
FROM tblTenant
-- There is a probability > 0 that a tenant's new name = tenants old name
SELECT
OldFirst = T.FirstName,
OldLast = T.LastName,
NewFirst = F.FirstName,
NewLast = L.LastName
FROM
tblTenant T
CROSS APPLY
(
SELECT TOP 1 UPPER(FirstName) AS FirstName
FROM #FirstNames
WHERE CHECKSUM(NEWID()) <> T.ID
ORDER BY NEWID()
) F
CROSS APPLY
(
SELECT TOP 1 LastName
FROM #LastNames
WHERE CHECKSUM(NEWID()) <> T.ID
ORDER BY NEWID()
) L
Related
with
zakaz as (
select
o.*,
(select f_name from clients where id = o.client_id) as f_name,
(select l_name from clients where id = o.client_id) as l_name,
(select phone from clients where id = o.client_id) as phone,
(select name from item_types where id = o.item_type_id) as item_name,
(select name from trailer_types where id = o.trailer_type_id) as trailer_name,
(select name from cover_types where id = o.cover_type_id) as cover_name,
(select name from cities where id = o.from_city_id) as from_city,
(select name from cities where id = o.to_city_id) as to_city,
(select name from transport_types where id = o.transport_type_id) as transport_type,
(select first_name || ' ' || last_name || ' ' || middle_name as name from workers where id = o.logist_id) as logist_name
from orders as o
where o.transport_type_id = (select id from transport_types where name = $tt$${transport_type}$tt$)
${ where_key ? `and ${where_key} = $v$${where_val}$v$` : ``}
order by o.created_at
),
zakaz_j_agg as (
select
COALESCE(json_agg(zakaz.*), '[]') as array
from zakaz
group by zakaz.status
)
select
json_agg(ord.*) as result
from zakaz_j_agg as ord
Replace json_agg(ord.*) as result with coalesce(json_agg(ord.*), '[]') as result. The same pattern is used in the zakaz_j_agg CTE.
with
zakaz as (... your CTE query ...),
zakaz_j_agg as (... your CTE query ...)
select
coalesce(json_agg(ord.*), '[]') as result
from zakaz_j_agg as ord;
This is a T-SQL related question. I am using SQL Server 2012.
I have a table like this:
I would like to have output like this:
Explanation:
For each employee, there will be a row. An employee has one or more assignments. Batch Id specifies this. Based on the batch Id, the column names will change (e.g. Country 1, Country 2 etc.).
Approach so far:
Un-pivot the source table like the following:
select
EmpId, 'Country ' + cast(BatchId as varchar) as [ColumnName],
Country as [ColumnValue]
from
SourceTable
UNION
select
EmpId, 'Pass ' + cast(BatchId as varchar) as [ColumnName],
Pass as [ColumnValue]
from
SourceTable
which gives each column's values as rows. Then, this result can be pivoted to get the desired output.
Questions:
Is there a better way of doing this?
At the moment, I know there will be fixed amount of batches, but, for future, if I like to make the pivoting part dynamic, what is the best approach?
Using tools like SSIS or SSRS, is it easier to handle the pivot dynamically?
Screw doing it in SQL.
Let SSRS do the work for you with a MATRIX. It will PIVOT for you without having to create dynamic SQL to handle the terrible limitation of needing to know all the columns.
For your data, you would have EMP ID as the ROW Group and PASS as your column grouping.
https://msdn.microsoft.com/en-us/library/dd207149.aspx
There are many possible solutions to achieve what you want (search for Dynamic Pivot on multiple columns)
SqlFiddleDemo
Warning: I assume that columns Country and Pass are NOT NULL
CREATE TABLE SourceTable(EmpId INT, BatchId INT,
Country NVARCHAR(100) NOT NULL, Pass NVARCHAR(5) NOT NULL);
INSERT INTO SourceTable(EmpId, BatchId, Country, Pass)
VALUES
(100, 1, 'UK', 'M'), (200, 2, 'USA', 'U'),
(100, 2, 'Romania', 'M'), (100, 3, 'India', 'MA'),
(100, 4, 'Hongkong', 'MA'), (300, 1, 'Belgium', 'U'),
(300, 2, 'Poland', 'U'), (200, 1, 'Australia', 'M');
/* Get Number of Columns Groups Country1..Country<MaxCount> */
DECLARE #max_count INT
,#sql NVARCHAR(MAX) = ''
,#columns NVARCHAR(MAX) = ''
,#i INT = 0
,#i_s NVARCHAR(10);
WITH cte AS
(
SELECT EmpId
,[cnt] = COUNT(*)
FROM SourceTable
GROUP BY EmpId
)
SELECT #max_count = MAX(cnt)
FROM cte;
WHILE #i < #max_count
BEGIN
SET #i += 1;
SET #i_s = CAST(#i AS NVARCHAR(10));
SET #columns += N',MAX(CASE WHEN [row_no] = ' + #i_s + ' THEN Country END) AS Country' + #i_s +
',MAX(CASE WHEN [row_no] = ' + #i_s + ' THEN Pass END) AS Pass' + #i_s;
END
SELECT #sql =
N';WITH cte AS (
SELECT EmpId, Country, Pass, [row_no] = ROW_NUMBER() OVER (PARTITION BY EmpId ORDER BY BatchId)
FROM SourceTable)
SELECT EmpId ' + #columns + N'
FROM cte
GROUP BY EmpId';
/* Debug */
/* SELECT #sql */
EXEC(#sql);
Or:
SQLFiddleDemo2
DECLARE #cols NVARCHAR(MAX),
#sql NVARCHAR(MAX) = '';
;WITH cte(col_name, rn) AS(
SELECT DISTINCT col_name = col_name + CAST(BatchId AS VARCHAR(10)),
rn = ROW_NUMBER() OVER(PARTITION BY EmpId ORDER BY BatchId)
FROM SourceTable
CROSS APPLY (VALUES ('Country', Country), ('Pass', Pass)) AS c(col_name, val)
)
SELECT #cols = STUFF((SELECT ',' + QUOTENAME(col_name)
FROM cte
ORDER BY rn /* If column order is important for you */
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
SET #sql =
N';WITH cte AS
(
SELECT EmpId, col_name = col_name + CAST(BatchId AS VARCHAR(10)), val
FROM SourceTable
CROSS APPLY (VALUES (''Country'', Country), (''Pass'', Pass)) AS c(col_name, val)
)
SELECT *
FROM cte
PIVOT
(
MAX(val)
FOR col_name IN (' + #cols + ')
) piv';
EXEC(#sql);
Newbie question... looking for the fastest way to update a new column based on the existence of a value from another table, while replacing values.
Example, below, taking the words 'Bought a car' with 'car' into another table. The problem is 'Bought a car' is into another table.
I did a hack to reselect the value and do a replace, but with more rows, the performance is horrible, taking up to 3 to 5 minutes to perform.
Oh SQL Gurus, what is the best way to do this?
Example
DECLARE #Staging_Table TABLE
(
ACCTID INT IDENTITY(1,1),
NAME VARCHAR(50),
PURCHASES VARCHAR(255)
)
INSERT INTO #Staging_Table (Name, Purchases)
VALUES ('John','Bought a table')
INSERT INTO #Staging_Table (Name, Purchases)
VALUES ('Jack','Sold a car')
INSERT INTO #Staging_Table (Name, Purchases)
VALUES ('Mary','Returned a chair')
DECLARE #HISTORY TABLE
(
ACCTID INT IDENTITY(1,1),
NAME VARCHAR(50),
Item VARCHAR(255)
)
INSERT INTO #HISTORY (Name, Item)
VALUES ('John','')
INSERT INTO #HISTORY (Name, Item)
VALUES ('Jack','')
INSERT INTO #HISTORY (Name, Item)
VALUES ('Mary','')
UPDATE #HISTORY
Set ITEM = CASE WHEN EXISTS(
Select ts.Purchases as Output from #Staging_Table ts
where ts.NAME = Name AND ts.PURCHASES LIKE '%table%')
THEN REPLACE((Select ts2.PURCHASES Output
from #Staging_Table ts2 where ts2.NAME = Name AND ts2.PURCHASES LIKE '%table%'),'Bought a ','')
WHEN EXISTS(
Select ts.Purchases as Output from #Staging_Table ts
where ts.NAME = Name AND ts.PURCHASES LIKE '%car%')
THEN REPLACE((Select ts2.PURCHASES Output
from #Staging_Table ts2 where ts2.NAME = Name AND ts2.PURCHASES LIKE '%car%'),'Bought a ','')
End
SELECT * FROM #HISTORY
DECLARE #Staging_Table TABLE
(
ACCTID INT IDENTITY(1, 1) ,
NAME VARCHAR(50) ,
PURCHASES VARCHAR(255)
)
INSERT INTO #Staging_Table
( Name, Purchases )
VALUES ( 'John', 'Bought a table' ),
( 'Jack', 'Sold a car' ),
( 'Mary', 'Returned a chair' )
DECLARE #HISTORY TABLE
(
ACCTID INT IDENTITY(1, 1) ,
NAME VARCHAR(50) ,
Item VARCHAR(255)
)
INSERT INTO #HISTORY
( Name, Item )
VALUES ( 'John', '' ),
( 'Jack', '' ),
( 'Mary', '' )
UPDATE L
SET L.ITEM = ( CASE WHEN R.PURCHASES LIKE '%table%'
THEN REPLACE(R.PURCHASES, 'Bought a ', '')
WHEN R.PURCHASES LIKE '%car%'
THEN REPLACE(R.PURCHASES, 'Sold a ', '')
END )
FROM #HISTORY AS L
JOIN #Staging_Table AS R ON L.NAME = R.NAME
WHERE ( R.PURCHASES LIKE '%table%'
OR R.PURCHASES LIKE '%car%'
)
SELECT *
FROM #HISTORY
I have a stored procedure with 2 CTEs. The second CTE has a parameter
WITH path_sequences
AS
(
),
WITH categories
AS
(
... WHERE CategoryId = #CategoryId
// I dont know how to get this initial parameter inside the CTE
)
SELECT * FROM path_sequences p
JOIN categories c
ON p.CategoryId = c.CategoryId
The initial parameter that I need to get inside the second TCE is p.CategoryId. How do I do that without having to create another stored procedure to contain the second CTE?
Thanks for helping
You can create table valued function
create function ftCategories
(
#CategoryID int
)
returns table
as return
with categories as (
... WHERE CategoryId = #CategoryId
)
select Col1, Col2 ...
from categories
and use it as
SELECT *
FROM path_sequences p
cross apply ftCategories(p.CategoryId) c
I have created simple query using your code. You can use it like -
DECLARE #CategoryId INT
SET #CategoryId = 1
;WITH path_sequences
AS
(
SELECT 1 CategoryId
),
categories
AS
(
SELECT 1 CategoryId WHERE 1 = #CategoryId
)
SELECT * FROM path_sequences p
JOIN categories c
ON p.CategoryId = c.CategoryId
This syntax is for External Aliases:
-- CTES With External Aliases:
WITH Sales_CTE (SalesPersonID, SalesOrderID, SalesYear)
AS
-- Define the CTE query.
(
SELECT SalesPersonID, SalesOrderID, YEAR(OrderDate) AS SalesYear
FROM Sales.SalesOrderHeader
WHERE SalesPersonID IS NOT NULL
)
The only way to add parameters is to use scope variables like so:
--Declare a variable:
DECLARE #category INT
WITH
MyCTE1 (exName1, exName2)
AS
(
SELECT <SELECT LIST>
FROM <TABLE LIST>
--Use the variable as 'a parameter'
WHERE CategoryId = #CategoryId
)
First remove the second WITH, separate each cte with just a comma. Next you can add parameters like this:
DECLARE #category INT; -- <~~ Parameter outside of CTEs
WITH
MyCTE1 (col1, col2) -- <~~ were poorly named param1 and param2 previously
AS
(
SELECT blah blah
FROM blah
WHERE CategoryId = #CategoryId
),
MyCTE2 (col1, col2) -- <~~ were poorly named param1 and param2 previously
AS
(
)
SELECT *
FROM MyCTE2
INNER JOIN MyCTE1 ON ...etc....
EDIT (and CLARIFICATION):
I have renamed the columns from param1 and param2 to col1 and col2 (which is what I meant originally).
My example assumes that each SELECT has exactly two columns. The columns are optional if you want to return all of the columns from the underlying query AND those names are unique. If you have more or less columns than what is being SELECTed you will need to specify names.
Here is another example:
Table:
CREATE TABLE Employee
(
Id INT NOT NULL IDENTITY PRIMARY KEY CLUSTERED,
FirstName VARCHAR(50) NOT NULL,
LastName VARCHAR(50) NOT NULL,
ManagerId INT NULL
)
Fill table with some rows:
INSERT INTO Employee
(FirstName, LastName, ManagerId)
VALUES
('Donald', 'Duck', 5)
INSERT INTO Employee
(FirstName, LastName, ManagerId)
VALUES
('Micky', 'Mouse', 5)
INSERT INTO Employee
(FirstName, LastName, ManagerId)
VALUES
('Daisy', 'Duck', 5)
INSERT INTO Employee
(FirstName, LastName, ManagerId)
VALUES
('Fred', 'Flintstone', 5)
INSERT INTO Employee
(FirstName, LastName, ManagerId)
VALUES
('Darth', 'Vader', null)
INSERT INTO Employee
(FirstName, LastName, ManagerId)
VALUES
('Bugs', 'Bunny', null)
INSERT INTO Employee
(FirstName, LastName, ManagerId)
VALUES
('Daffy', 'Duck', null)
CTEs:
DECLARE #ManagerId INT = 5;
WITH
MyCTE1 (col1, col2, col3, col4)
AS
(
SELECT *
FROM Employee e
WHERE 1=1
AND e.Id = #ManagerId
),
MyCTE2 (colx, coly, colz, cola)
AS
(
SELECT e.*
FROM Employee e
INNER JOIN MyCTE1 mgr ON mgr.col1 = e.ManagerId
WHERE 1=1
)
SELECT
empsWithMgrs.colx,
empsWithMgrs.coly,
empsWithMgrs.colz,
empsWithMgrs.cola
FROM MyCTE2 empsWithMgrs
Notice in the CTEs the columns are being aliased. MyCTE1 exposes columns as col1, col2, col3, col4 and MyCTE2 references MyCTE1.col1 when it references it. Notice the final select uses MyCTE2's column names.
Results:
For anyone still struggling with this, the only thing you need to is terminate your declaration of variables with a semicolon before the CTE. Nothing else is required.
DECLARE #test AS INT = 42;
WITH x
AS (SELECT #test AS 'Column')
SELECT *
FROM x
Results:
Column
-----------
42
(1 row affected)
My function
ALTER FUNCTION GetProductCount
(#CatID int)
RETURNS int
AS
BEGIN
DECLARE #return_value int
EXEC #return_value = [dbo].[USP_Products_GetList]
#ProductName = NULL,
#ProductID = NULL,
#Description = NULL,
#CatID = #CatID,
#CatName = NULL,
#Price1 = NULL,
#Price2 = NULL,
#SizeID = NULL,
#IsNew = NULL,
#InActive = NULL,
#SortBy = NULL,
#SortType = NULL
return #return_value
end
Function Execution
GetProductCount 1
Msg 557, Level 16, State 2, Procedure
GetProductCount, Line 9 Only functions
and some extended stored procedures
can be executed from within a
function.
Question
I want to find total no. of rows
result by that stored procedure and return by this function.
What should i do now?
Solution please.........
you can't do it from a UDF unless you use a loopback linked server query hack, which is not recommended
My Stored Procedure which return rows according to category id = 1
USE [StoreDB]
GO
/****** Object: StoredProcedure [dbo].[USP_Products_GetList] Script Date: 08/21/2010 03:01:32 ******/
SET ANSI_NULLS OFF
GO
SET QUOTED_IDENTIFIER OFF
GO
ALTER PROCEDURE [dbo].[USP_Products_GetList]
#ProductName varchar(50),
#ProductID varchar(50),
#Description varchar(50),
#CatID varchar(50),
#CatName varchar(50),
#Price1 int,
#Price2 int,
#SizeID int,
#IsNew bit,
#InActive bit,
#SortBy varchar(50),
#SortType varchar(50)
AS
SELECT ProductID, ProductName, Price Price, PriceID, [Description], Size, SizeID, IsNew, InActive, ISNULL(ImageName,'Nophoto.png') AS ImageName, ImageTitle
FROM (
SELECT DISTINCT Products.ProductID, ProductName, MAX(Price) Price, PriceID, [Description], Size, Sizes.SizeID, IsNew, InActive, ImageName, ImageTitle FROM (SELECT * FROM Products WHERE (#InActive is null or #InActive = InActive ) AND ( #IsNew is null or #IsNew = IsNew )) Products
INNER JOIN ProductCategory
on Products.ProductID = ProductCategory.ProductID
LEFT OUTER JOIN (SELECT * FROM ProductImages
WHERE ( #ProductID is null or ProductID like '%' + #ProductID + '%' ) AND Isthumb = 'true'
) ProductImages
ON Products.ProductID = ProductImages.ProductID
INNER JOIN (
SELECT CatID FROM Categories
WHERE
( (#CatID is null or #CatID = 0) or #CatID = CatID ) and
( #CatName is null or CatName like '%' + #CatName + '%' )
) Categories
on ProductCategory.CatID = Categories.CatID
INNER JOIN (
SELECT Prices.ProductID, Prices.Price, Prices.PriceID, Prices.SizeID FROM Prices
INNER JOIN (
SELECT ProductID, MAX(Price) Price from Prices WHERE PriceID IN
( SELECT MAX(PriceID) FROM Prices
GROUP BY ProductID , SizeID)
GROUP BY ProductID ) Prices_
ON Prices.ProductID = Prices_.ProductID AND Prices.Price = Prices_.Price
) as Prices
on Prices.ProductID = Products.ProductID
inner join Sizes
on Sizes.SizeID = Prices.SizeID
GROUP BY ProductName, Products.ProductID, Price, PriceID, [Description] ,Size, Sizes.SizeID, IsNew, InActive, ImageName, ImageTitle
) AS OrderProduct WHERE
( #ProductName is null or ProductName like '%' + #ProductName + '%' ) and
( #ProductID is null or ProductID like '%' + #ProductID + '%' ) and
( #Description is null or [Description] like '%' + #Description + '%' ) and
( (#SizeID is null or #SizeID = 0)or SizeID = #SizeID ) and
( #Price1 is null or Price between #Price1 AND #Price2)
ORDER BY
CASE #SortType
WHEN 'desc' THEN
CASE #SortBy
WHEN 'ProductName' THEN ProductName
END
END
DESC,
CASE #SortType
WHEN 'desc' THEN
CASE #SortBy
WHEN 'ProductID' THEN ProductID
WHEN 'Price' THEN Price
END
END
DESC,
CASE #SortType
WHEN 'asc' THEN
CASE #SortBy
WHEN 'ProductName' THEN ProductName
END
END
ASC,
CASE #SortType
WHEN 'asc' THEN
CASE #SortBy
WHEN 'ProductID' THEN ProductID
WHEN 'Price' THEN Price
END
END
ASC