I have a table I would like split and emailed to the corresponding staff member of that department, I have two tables, Table 1 contains all the transaction data against the department and is live, Table 2 is static which essentially lists the staff member who is responsible for the each department.
I need to split up table 1 by Department then lookup the email for the corresponding staff member from table2 and send the split table.
Table 1:
| Customer | ? | Department
| Customer | ? | Department1
| Customer | ? | Department2
Table2:
| Department | Staff | Email
| Department1 | Staff1 | Email
| Department2 | Staff2 | Email
I was wondering, would it be possible to create a stored procedure to do this or would I have to create a subscription in SSRS for each individual staff member?
Thanks,
Neil
I would thoroughly recommend making a simple SSRS report and distributing it via a Data Driven Subscription. The queries below will get you started on your data extracts and you can follow a guide here on how to set up an SSRS Data Driven Subscription.
They are very simple to create, you only need the one subscription to send an email to every Department and they are very easy to maintain, even by someone else with no idea what it does.
declare #t1 table(Cust nvarchar(100)
,Cols nvarchar(100)
,Dept nvarchar(100)
)
declare #t2 table(Dept nvarchar(100)
,Staff nvarchar(100)
,Email nvarchar(100)
)
insert into #t1 Values
('Customer','?','Department1')
,('Customer','?','Department2')
,('Customer','?','Department3')
insert into #t2 Values
('Department1','Staff1','Email1')
,('Department2','Staff2','Email2')
,('Department3','Staff3','Email3')
-- Use this query in your Data Driven Subscription to generate the list of Departments and their respective Emails:
select distinct t1.Dept
,t2.Email
from #t1 t1
left join #t2 t2
on(t1.Dept = t2.Dept)
-- Then use this query in your report to list out the contents of Table 1, matching the #SSRSDeptParameter value in the Data Driven Subscription options.
select t1.Cust
,t1.Cols
,t1.Dept
,t2.Email
from #t1 t1
left join #t2 t2
on(t1.Dept = t2.Dept)
where #t1.Dept = #SSRSDeptParameter
Related
I have a question in regards to adding data to a particular column of a table, i had a post yesterday where a user guided me (thanks for that) to what i needed and said an update was the way to go for what i need, but i still can't achieve my goal.
i have two tables, the tables where the information will be added from and the table where the information will be added to, here is an example:
source_table (has only a column called "name_expedient_reviser" that is nvarchar(50))
name_expedient_reviser
kim
randy
phil
cathy
josh
etc.
on the other hand i have the destination table, this one has two columns, one with the ids and the other where the names will be inserted, this column values are null, there are some ids that are going to be used for this.
this is how the other table looks like
dbo_expedient_reviser (has 2 columns, unique_reviser_code numeric PK NOT AI, and name_expedient_reviser who are the users who check expedients this one is set as nvarchar(50)) also this is the way this table is now:
dbo_expedient_reviser
unique_reviser_code | name_expedient_reviser
1 | NULL
2 | NULL
3 | NULL
4 | NULL
5 | NULL
6 | NULL
what i need is the information of the source_table to be inserted into the row name_expedient_reviser, so the result should look like this
dbo_expedient_reviser
unique_reviser_code | name_expedient_reviser
1 | kim
2 | randy
3 | phil
4 | cathy
5 | josh
6 | etc.
how can i pass the information into this table? what do i have to do?.
EDIT
the query i saw that should have worked doesn't update which is this one:
UPDATE dbo_expedient_reviser
SET dbo_expedient_reviser.name_expedient_reviser = source_table.name_expedient_reviser
FROM source_table
JOIN dbo_expedient_reviser ON source_table.name_expedient_reviser = dbo_expedient_reviser.name_expedient_reviser
WHERE dbo_expedient_reviser.name_expedient_reviser IS NULL
the query was supposed to update the information into the table, extracting it from the source_table as long as the row name_expedient_reviser is null which it is but is doesn't work.
Since the Names do not have an Id associated with them I would just use ROW_NUMBER and join on ROW_NUMBER = unique_reviser_code. The only problem is, knowing what rows are null. From what I see, they all appear null. In your data, is this the case or are there names sporadically in the table like 5,17,29...etc? If the name_expedient_reviser is empty in dbo_expedient_reviser you could also truncate the table and insert values directly. Hopefully that unique_reviser_code isn't already linked to other things.
WITH CTE (name_expedient_reviser, unique_reviser_code)
AS
(
SELECT name_expedient_reviser
,ROW_NUMBER() OVER (ORDER BY name_expedient_reviser)
FROM source_table
)
UPDATE er
SET er.name_expedient_reviser = cte.name_expedient_reviser
FROM dbo_expedient_reviser er
JOIN CTE on cte.unique_reviser_code = er.unique_reviser_code
Or Truncate:
Truncate Table dbo_expedient_reviser
INSERT INTO dbo_expedient_reviser (name_expedient_reviser, unique_reviser_code)
SELECT DISTINCT
unique_reviser_code = ROW_NUMBER() OVER (ORDER BY name_expedient_reviser)
,name_expedient_reviser
FROM source_table
it is not posible to INSERT the data into a single column, but to UPDATE and move the data you want is the only way to go in that cases
The short version is I'm trying to map from a flat table to a new set of tables with a stored procedure.
The long version: I want to SELECT records from an existing table, and then for each record INSERT into a new set of tables (most columns will go into one table, but some will go to others and be related back to this new table).
I'm a little new to stored procedures and T-SQL. I haven't been able to find anything particularly clear on this subject.
It would appear I want to something along the lines of
INSERT INTO [dbo].[MyNewTable] (col1, col2, col3)
SELECT
OldCol1, OldCol2, OldCol3
FROM
[dbo].[MyOldTable]
But I'm uncertain how to get that to save related records since I'm splitting it into multiple tables. I'll also need to manipulate some of the data from the old columns before it will fit into the new columns.
Thanks
Example data
MyOldTable
Id | Year | Make | Model | Customer Name
572 | 2001 | Ford | Focus | Bobby Smith
782 | 2015 | Ford | Mustang | Bobby Smith
Into (with no worries about duplicate customers or retaining old Ids):
MyNewCarTable
Id | Year | Make | Model
1 | 2001 | Ford | Focus
2 | 2015 | Ford | Mustang
MyNewCustomerTable
Id | FirstName | LastName | CarId
1 | Bobby | Smith | 1
2 | Bobby | Smith | 2
I would say you have your OldTable Id to preserve in new table till you process data.
I assume you create an Identity column Id on your MyNewCarTable
INSERT INTO MyNewCarTable (OldId, Year, Make, Model)
SELECT Id, Year, Make, Model FROM MyOldTable
Then, join the new table and above table to insert into your second table. I assume your MyNewCustomerTable also has Id column with Identity enabled.
INSERT INTO MyNewCustomerTable (CustomerName, CarId)
SELECT CustomerName, new.Id
FROM MyOldTable old
JOIN MyNewCarTable new ON old.Id = new.OldId
Note: I have not applied Split of Customer Name to First Name and
Last Name as I was unsure about existing data.
If you don't want your OldId in MyNewCarTable, you can DELETE it
ALTER TABLE MyNewCarTable DROP COLUMN OldId
You are missing a step in your normalization. You do not need to duplicate your customer information per vehicle. You need three tables for 4th Normal form. This will reduce storage size and more importantly allow an update to the customer data to take place in one location.
Customer
CustomerID
FirstName
LastName
Car
CarID
Make
Model
Year
CustomerCar
CustomerCarID
CarID
CustomerID
DatePurchaed
This way you can have multiple owners per car, multiple cars per owner and only one record needs to be updated per car and or customer...4th Normal Form.
If I am reading this correctly, you want to take each row from table 1, and create a new record into table A using some of that row data, and then data from the same original row into Table B, Table C but referencing back to Table A again?
If that's the case, you will create TableA with an Identity and make thats the PK.
Insert the required column data into that table and use the #IDENTITY to retrieve the last identity value, then you will insert the remaining data from the original table into the other tables, TableB, TableC, etc. and use the identity you retrieved from TableA as the FK in the other tables.
By Example:
Table 1 has columns col1, col2, col3, col4, col5
Table A has TabAID, col1, col2
Table B has TabBID, TabAID, col3
TableC has TabCID, TabAID, col4
When the first row is read, the values for col1 & col2 are inserted into TableA.
The Identity is captured from that row inserted, and then value for col3 AND the identity are entered into TableB, and then value for col4 AND the identity are entered into TableC.
This is a standard data migration technique for normalizing data.
Hope this assists,
Lets say that I have to store the following information in my database,
Now my database tables will be designed and structured like this,
In a later date, if I had to add another sub category level how will I be able to achieve this without having to change the database structure at all?
I have heard of defining the columns as row data in a table and using pivots to extract the details later on...Is that the proper way to achieve this?
Can someone please enlighten me or guide me in the proper direction? Thanks in advance...
:)
It would be difficult to add more columns to your table when new levels are to be generated. The best way is to use a Hierarchy table to maintain Parent-Child relationship.
Table : Items
x----x------------------x------------x
| ID | Items | CategoryId |
|----x------------------x------------x
| 1 | Pepsi | 3 |
| 2 | Coke | 3 |
| 3 | Wine | 4 |
| 4 | Beer | 4 |
| 5 | Meals | 2 |
| 6 | Fried Rice | 2 |
| 7 | Black Forest | 7 |
| 8 | XMas Cake | 7 |
| 9 | Pinapple Juice | 8 |
| 10 | Apple Juice | 8 |
x----x------------------x------------x
Table : Category
In category table, you can add categories to n levels. In Items table, you can store the lowest level category. For example, take the case of Pepsi - its categoryId is 3. In Category table, you can find its parent using JOINs and find parent's parents using Hierarchy queries.
In Category table, the categories with ParentId is null(that is with no parentId) will be the MainCategory and the other items with ParentId will be under SubCategory.
EDIT :
Any how you need to alter the tables, because as per your current schema, you cannot add column to the first table because the number of Sub category may keep on changing. Even if you create a table as per Rhys Jones answer, you have to join two tables with string. The problem in joining with string is that, when there is a requirement to change the Sub category or Main category name, you have to change in every table which you be fall to trouble in future and is not a good database design. So I suggest you to follow the below pattern.
Here is the query that get the parents for child items.
DECLARE #ITEM VARCHAR(30) = 'Black Forest'
;WITH CTE AS
(
-- Finds the original parent for an ITEM ie, Black Forest
SELECT I.ID,I.ITEMS,C.CategoryId,C.Category,ParentId,0 [LEVEL]
FROM #ITEMS I
JOIN #Category C ON I.CategoryId=C.CategoryId
WHERE ITEMS = #ITEM
UNION ALL
-- Now it finds the parents with hierarchy level for ITEM
-- ie, Black Forest. This is called Recursive query, which works like loop
SELECT I.ID,I.ITEMS,C.CategoryId,C.Category,C.ParentId,[LEVEL] + 1
FROM CTE I
JOIN #Category C ON C.CategoryId=I.ParentId
)
-- Here we keep a column to show header for pivoting ie, CATEGORY0,CATEGORY1 etc
-- and keep these records in a temporary table #NEWTABLE
SELECT ID,ITEMS,CATEGORYID,CATEGORY,PARENTID,
'CATEGORY'+CAST(ROW_NUMBER() OVER(PARTITION BY ITEMS ORDER BY [LEVEL] DESC)-1 AS VARCHAR(4)) COLS,
ROW_NUMBER() OVER(PARTITION BY ITEMS ORDER BY [LEVEL] DESC)-1 [LEVEL]
INTO #NEWTABLE
FROM CTE
ORDER BY ITEMS,[LEVEL]
OPTION(MAXRECURSION 0)
Here is the result from the above query
Explanation
Black Forest comes under Cake.
Cake comes under Bakery.
Bakery comes under Food.
Like this you can create children or parent for any number of levels. Now if you want to add a parent to Food and Beverage, for eg, Food Industry, just add Food Industry to Category table and keep Food Industry's Id as ParentId for Food and Beverage. Thats all.
Now if you want do pivoting, you can follow the below procedures.
1. Get values from column to show those values as column in pivot
DECLARE #cols NVARCHAR (MAX)
SELECT #cols = COALESCE (#cols + ',[' + COLS + ']', '[' + COLS + ']')
FROM (SELECT DISTINCT COLS,[LEVEL] FROM #NEWTABLE) PV
ORDER BY [LEVEL]
2. Now use the below PIVOT query
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT * FROM
(
SELECT ITEMS, CATEGORY, COLS
FROM #NEWTABLE
) x
PIVOT
(
MIN(CATEGORY)
FOR COLS IN (' + #cols + ')
) p
ORDER BY ITEMS;'
EXEC SP_EXECUTESQL #query
Click here to view result
You will get the below result after the pivot
NOTE
If you want all the records irrespective of an item, remove the WHERE clause inside CTE. Click here to view result.
Now I have provided order of columns in pivot table as DESC ie, its shows top-level parent.....Item's parent. If you want to show Item's parent first followed be next level and top-level parent at last, you can change DESC inside the ROW_NUMBER() to ASC. Click here to view result.
According to your schema there's no relationship between 'main category' and 'sub category' but your sample data suggests there would be a relationship, i.e. Alcohol IS A Beverage etc. This sounds like a hierarchy of categories, in which case you could you a single self-referencing Category table instead;
create table dbo.Category (
CategoryID int not null constraint PK_Category primary key clustered (CategoryID),
ParentCategoryID int not null,
CategoryName varchar(100) not null
)
alter table dbo.Category add constraint FK_Category_Category foreign key(ParentCategoryID) references dbo.Category (CategoryID)
insert dbo.Category values (1, 1, 'Beverages')
insert dbo.Category values (2, 1, 'Soft Drink')
insert dbo.Category values (3, 1, 'Alcohol')
This way you can create as many levels of category as you want. Any category where ParentCategoryID = CategoryID is a top level category.
Hope this helps,
Rhys
In order to add a new sub category, you should add the category to the table "ItemSubCategory1" after that you can easily add it to the "Drinks" table.
For Example:
If there is a new category name "Hot Drinks" and a new item "Coffee" which comes in Beverages main category (let CatId=1, MainCatText='Beverages' in ItemMainCategory table) then
INSERT INTO ItemSubCategory1(CatId,SubCatText) VALUES(4,'Hot Drinks')
INSERT INTO Drinks(ItemId,ItemName,ItemMainCategory,ItemSubCategory)
VALUES(5,'Coffee',1,4)
I have T-SQL code like this:
DECLARE #xml XML = (SELECT CONVERT(xml, BulkColumn, 2) FROM OPENROWSET(Bulk 'C:\test.xml', SINGLE_BLOB) [blah])
-- Data for Table 1
SELECT
ES.value('id-number[1]', 'VARCHAR(8)') IDNumber,
ES.value('name[1]', 'VARCHAR(8)') Name,
ES.value('date[1]', 'VARCHAR(8)') Date,
ES.value('test[1]', 'VARCHAR(3)') Test,
ES.value('testing[1]', 'VARCHAR(511)') Testing,
ES.value('testingest[1]', 'VARCHAR(5)') Testingest
FROM #xml.nodes('xmlnodes/path') AS EfficiencyStatement(ES)
-- Data for Table 2
SELECT
U.value('fork[1]', 'VARCHAR(8)') Fork,
U.value('spoon[1]', 'VARCHAR(3)') Spoon,
U.value('spork[1]', 'VARCHAR(3)') Spork,
FROM #xml.nodes('xmlnodes/path/nextpath') AS Utensils(U)
Now, I've tried what I normally use, and other variants, such as:
AS XML ON xml.[id-number] = [table1].[id-number]
For the record, id-number is unique across the entire document. It can never occur again.
This is good for grabbing the data from my XML file, but there's zero referential integrity. How do I make sure that Table 2 (and up) maintains referential integrity when inserting?
This should be a much better explanation:
I want to load XML values from a file. For INSERT, I have no trouble using OPENXML and binding it based on the id-number using AS XML ON xml.[id-number] = [table1].[id-number] at the end.
I want to update the database record (with all linked tables and their columns) using UPDATE, MERGE, or something -- anything! To do this, I believe I need to find a way to maintain referential integrity based on the Foreign_ID value present in each table. There are dozens of tables which are all linked via Foreign_ID, so how do I update all of these?
Table Example
Table #1
+-------------+-----------+-----------+------------+---------+-----------+------------+
| Primary_Key | ID_Number | Name | Date | Test | Testing | Testingest |
+-------------+-----------+-----------+------------+---------+-----------+------------|
| 70001 | 12345 | Tom | 01/21/14 | Hi | Yep | Of course! |
| 70002 | 12346 | Dick | 02/22/14 | Bye | No | Never! |
| 70003 | 12347 | Harry | 03/23/14 | Sup | Dunno | Same. |
+----^--------+-----------+-----------+------------+---------+-----------+------------+
|
|-----------------|
|
Table #2 | Linked to primary key in the first table.
+-------------+--------v--------+-------------+-------------+------------+
| Primary_Key | Foreign_ID | Fork | Spoon | Spork |
+-------------+-----------------+-------------+-------------+------------+
| 0001 | 70001 | Yes | No | No |
| 0002 | 70002 | No | Yes | No |
| 0003 | 70003 | No | No | Yes |
+-------------+-----------------+-------------+-------------+------------+
After that is inserted, I need to be able to UPDATE the tables and columns from the XML files. After much research, I can't figure out how to update the values of every table linked by Foreign_ID while maintaining referential integrity. This means I am inserting the wrong data in the other tables.
I want the correct data updated. To update it correctly, I need to ensure that XQuery is matching the right data. Some tables have multiple fields for one particular Foreign_ID.
Here's the code I'm using:
DECLARE #xml XML = (SELECT CONVERT(xml, BulkColumn, 2) FROM OPENROWSET(Bulk 'C:\test.xml', SINGLE_BLOB) [blah])
-- Data for Table 1
SELECT
ES.value('id-number[1]', 'VARCHAR(8)') IDNumber,
ES.value('name[1]', 'VARCHAR(8)') Name,
ES.value('date[1]', 'VARCHAR(8)') Date,
ES.value('test[1]', 'VARCHAR(3)') Test,
ES.value('testing[1]', 'VARCHAR(511)') Testing,
ES.value('testingest[1]', 'VARCHAR(5)') Testingest
INTO #TempTable
FROM #xml.nodes('xmlnodes/path') AS EfficiencyStatement(ES)
-- #Serial Error: Subquery returned more than 1 value. This is not permitted when the subquery follows =, !=, <, <= , >, >= or when the subquery is used as an expression.
SET #IDNumber = (SELECT SerialNumber from #TempTable)
SET #Foreign_ID = (SELECT [Foreign_ID] from [table] WHERE [id-number] = #IDNumber)
MERGE dbo.[table1] AS CF
USING (SELECT IDNumber, Name, Date, Test, Testing, Testingest FROM #TempTable) AS src
ON CF.[id-number] = src.IDNumber
-- ID-Number is unique, and is used to setup the initial referential integrity. Foreign_ID does not exist in the XML files, so we are not matching on that.
WHEN MATCHED THEN UPDATE
SET
CF.[id-number] = src.IDNumber
-- and so on...
WHEN NOT MATCHED THEN
-- Insert statements here
GO
This works for the first table. It does not maintain integrity when updating the other tables via Foreign_ID. Note that SET #Serial has an error, but when I set it to anything else, it will update properly.
I am not fully sure what you are asking here, but if you cannot use the suggested article to enforce references in your XML, there is not really a post-op way for you to do it just in XML.
For Table2+ you can do EXISTS checks against TABLE 1 and process accordingly that way (see Referential integrity issue with Untyped XML in TSQL for example)
The only other way that I can think of is to create "real" tables that represent your schema for table 1, table 2...tableN that have the relevant FKs and insert into them.
Basically what I'm trying to figure out is,
Say I have
table 1tbl1
ID | Name
and table2tbl2
ID | Name
Then I have a mapping table mt
ID | tbl1ID | tbl2ID
Data really isn't important here, and these tables are examples.
How to make a view that will grab all the items in tbl1 that aren't mapped to mt.
I'm using Microsoft SQL-server 2008 by the way.
CREATE VIEW v_unmapped
AS
SELECT *
FROM tbl1
WHERE id NOT IN
(
SELECT tbl1Id
FROM mt
)