SQL Server insert if not exists best practice [closed] - sql-server

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I have a Competitions results table which holds team member's names and their ranking on one hand.
On the other hand I need to maintain a table of unique competitors names:
CREATE TABLE Competitors (cName nvarchar(64) primary key)
Now I have some 200,000 results in the 1st table and when the competitors table is empty I can perform this:
INSERT INTO Competitors SELECT DISTINCT Name FROM CompResults
And the query only takes some 5 seconds to insert about 11,000 names.
So far this is not a critical application so I can consider truncate the Competitors table once a month, when I receive the new competition results with some 10,000 rows.
But what is the best practice when new results are added, with new AND existing competitors? I don't want to truncate existing competitors table
I need to perform INSERT statement for new competitors only and do nothing if they exists.

Semantically you are asking "insert Competitors where doesn't already exist":
INSERT Competitors (cName)
SELECT DISTINCT Name
FROM CompResults cr
WHERE
NOT EXISTS (SELECT * FROM Competitors c
WHERE cr.Name = c.cName)

Another option is to left join your Results table with your existing competitors Table and find the new competitors by filtering the distinct records that donĀ“t match int the join:
INSERT Competitors (cName)
SELECT DISTINCT cr.Name
FROM CompResults cr left join
Competitors c on cr.Name = c.cName
where c.cName is null
New syntax MERGE also offer a compact, elegant and efficient way to do that:
MERGE INTO Competitors AS Target
USING (SELECT DISTINCT Name FROM CompResults) AS Source ON Target.Name = Source.Name
WHEN NOT MATCHED THEN
INSERT (Name) VALUES (Source.Name);

Don't know why anyone else hasn't said this yet;
NORMALISE.
You've got a table that models competitions? Competitions are made up of Competitors? You need a distinct list of Competitors in one or more Competitions......
You should have the following tables.....
CREATE TABLE Competitor (
[CompetitorID] INT IDENTITY(1,1) PRIMARY KEY
, [CompetitorName] NVARCHAR(255)
)
CREATE TABLE Competition (
[CompetitionID] INT IDENTITY(1,1) PRIMARY KEY
, [CompetitionName] NVARCHAR(255)
)
CREATE TABLE CompetitionCompetitors (
[CompetitionID] INT
, [CompetitorID] INT
, [Score] INT
, PRIMARY KEY (
[CompetitionID]
, [CompetitorID]
)
)
With Constraints on CompetitionCompetitors.CompetitionID and CompetitorID pointing at the other tables.
With this kind of table structure -- your keys are all simple INTS -- there doesn't seem to be a good NATURAL KEY that would fit the model so I think a SURROGATE KEY is a good fit here.
So if you had this then to get the the distinct list of competitors in a particular competition you can issue a query like this:
DECLARE #CompetitionName VARCHAR(50) SET #CompetitionName = 'London Marathon'
SELECT
p.[CompetitorName] AS [CompetitorName]
FROM
Competitor AS p
WHERE
EXISTS (
SELECT 1
FROM
CompetitionCompetitor AS cc
JOIN Competition AS c ON c.[ID] = cc.[CompetitionID]
WHERE
cc.[CompetitorID] = p.[CompetitorID]
AND cc.[CompetitionName] = #CompetitionNAme
)
And if you wanted the score for each competition a competitor is in:
SELECT
p.[CompetitorName]
, c.[CompetitionName]
, cc.[Score]
FROM
Competitor AS p
JOIN CompetitionCompetitor AS cc ON cc.[CompetitorID] = p.[CompetitorID]
JOIN Competition AS c ON c.[ID] = cc.[CompetitionID]
And when you have a new competition with new competitors then you simply check which ones already exist in the Competitors table. If they already exist then you don't insert into Competitor for those Competitors and do insert for the new ones.
Then you insert the new Competition in Competition and finally you just make all the links in CompetitionCompetitors.

You will need to join the tables together and get a list of unique competitors that don't already exist in Competitors.
This will insert unique records.
INSERT Competitors (cName)
SELECT DISTINCT Name
FROM CompResults cr LEFT JOIN Competitors c ON cr.Name = c.cName
WHERE c.Name IS NULL
There may come a time when this insert needs to be done quickly without being able to wait for the selection of unique names. In that case, you could insert the unique names into a temporary table, and then use that temporary table to insert into your real table. This works well because all the processing happens at the time you are inserting into a temporary table, so it doesn't affect your real table. Then when you have all the processing finished, you do a quick insert into the real table. I might even wrap the last part, where you insert into the real table, inside a transaction.

The answers above which talk about normalizing are great! But what if you find yourself in a position like me where you're not allowed to touch the database schema or structure as it stands? Eg, the DBA's are 'gods' and all suggested revisions go to /dev/null?
In that respect, I feel like this has been answered with this Stack Overflow posting too in regards to all the users above giving code samples.
I'm reposting the code from INSERT VALUES WHERE NOT EXISTS which helped me the most since I can't alter any underlying database tables:
INSERT INTO #table1 (Id, guidd, TimeAdded, ExtraData)
SELECT Id, guidd, TimeAdded, ExtraData
FROM #table2
WHERE NOT EXISTS (Select Id, guidd From #table1 WHERE #table1.id = #table2.id)
-----------------------------------
MERGE #table1 as [Target]
USING (select Id, guidd, TimeAdded, ExtraData from #table2) as [Source]
(id, guidd, TimeAdded, ExtraData)
on [Target].id =[Source].id
WHEN NOT MATCHED THEN
INSERT (id, guidd, TimeAdded, ExtraData)
VALUES ([Source].id, [Source].guidd, [Source].TimeAdded, [Source].ExtraData);
------------------------------
INSERT INTO #table1 (id, guidd, TimeAdded, ExtraData)
SELECT id, guidd, TimeAdded, ExtraData from #table2
EXCEPT
SELECT id, guidd, TimeAdded, ExtraData from #table1
------------------------------
INSERT INTO #table1 (id, guidd, TimeAdded, ExtraData)
SELECT #table2.id, #table2.guidd, #table2.TimeAdded, #table2.ExtraData
FROM #table2
LEFT JOIN #table1 on #table1.id = #table2.id
WHERE #table1.id is null
The above code uses different fields than what you have, but you get the general gist with the various techniques.
Note that as per the original answer on Stack Overflow, this code was copied from here.
Anyway my point is "best practice" often comes down to what you can and can't do as well as theory.
If you're able to normalize and generate indexes/keys -- great!
If not and you have the resort to code hacks like me, hopefully the
above helps.
Good luck!

Normalizing your operational tables as suggested by Transact Charlie, is a good idea, and will save many headaches and problems over time - but there are such things as interface tables, which support integration with external systems, and reporting tables, which support things like analytical processing; and those types of tables should not necessarily be normalized - in fact, very often it is much, much more convenient and performant for them to not be.
In this case, I think Transact Charlie's proposal for your operational tables is a good one.
But I would add an index (not necessarily unique) to CompetitorName in the Competitors table to support efficient joins on CompetitorName for the purposes of integration (loading of data from external sources), and I would put an interface table into the mix: CompetitionResults.
CompetitionResults should contain whatever data your competition results have in it. The point of an interface table like this one is to make it as quick and easy as possible to truncate and reload it from an Excel sheet or a CSV file, or whatever form you have that data in.
That interface table should not be considered part of the normalized set of operational tables. Then you can join with CompetitionResults as suggested by Richard, to insert records into Competitors that don't already exist, and update the ones that do (for example if you actually have more information about competitors, like their phone number or email address).
One thing I would note - in reality, Competitor Name, it seems to me, is very unlikely to be unique in your data. In 200,000 competitors, you may very well have 2 or more David Smiths, for example. So I would recommend that you collect more information from competitors, such as their phone number or an email address, or something which is more likely to be unique.
Your operational table, Competitors, should just have one column for each data item that contributes to a composite natural key; for example it should have one column for a primary email address. But the interface table should have a slot for old and new values for a primary email address, so that the old value can be use to look up the record in Competitors and update that part of it to the new value.
So CompetitionResults should have some "old" and "new" fields - oldEmail, newEmail, oldPhone, newPhone, etc. That way you can form a composite key, in Competitors, from CompetitorName, Email, and Phone.
Then when you have some competition results, you can truncate and reload your CompetitionResults table from your excel sheet or whatever you have, and run a single, efficient insert to insert all the new competitors into the Competitors table, and single, efficient update to update all the information about the existing competitors from the CompetitionResults. And you can do a single insert to insert new rows into the CompetitionCompetitors table. These things can be done in a ProcessCompetitionResults stored procedure, which could be executed after loading the CompetitionResults table.
That's a sort of rudimentary description of what I've seen done over and over in the real world with Oracle Applications, SAP, PeopleSoft, and a laundry list of other enterprise software suites.
One last comment I'd make is one I've made before on SO: If you create a foreign key that insures that a Competitor exists in the Competitors table before you can add a row with that Competitor in it to CompetitionCompetitors, make sure that foreign key is set to cascade updates and deletes. That way if you need to delete a competitor, you can do it and all the rows associated with that competitor will get automatically deleted. Otherwise, by default, the foreign key will require you to delete all the related rows out of CompetitionCompetitors before it will let you delete a Competitor.
(Some people think non-cascading foreign keys are a good safety precaution, but my experience is that they're just a freaking pain in the butt that are more often than not simply a result of an oversight and they create a bunch of make work for DBA's. Dealing with people accidentally deleting stuff is why you have things like "are you sure" dialogs and various types of regular backups and redundant data sources. It's far, far more common to actually want to delete a competitor, whose data is all messed up for example, than it is to accidentally delete one and then go "Oh no! I didn't mean to do that! And now I don't have their competition results! Aaaahh!" The latter is certainly common enough, so, you do need to be prepared for it, but the former is far more common, so the easiest and best way to prepare for the former, imo, is to just make foreign keys cascade updates and deletes.)

Ok, this was asked 7 years ago, but I think the best solution here is to forego the new table entirely and just do this as a custom view. That way you're not duplicating data, there's no worry about unique data, and it doesn't touch the actual database structure. Something like this:
CREATE VIEW vw_competitions
AS
SELECT
Id int
CompetitionName nvarchar(75)
CompetitionType nvarchar(50)
OtherField1 int
OtherField2 nvarchar(64) --add the fields you want viewed from the Competition table
FROM Competitions
GO
Other items can be added here like joins on other tables, WHERE clauses, etc. This is most likely the most elegant solution to this problem, as you now can just query the view:
SELECT *
FROM vw_competitions
...and add any WHERE, IN, or EXISTS clauses to the view query.

Additionally, if you have multiple columns to insert and want to check if they exists or not use the following code
Insert Into [Competitors] (cName, cCity, cState)
Select cName, cCity, cState from
(
select new.* from
(
select distinct cName, cCity, cState
from [Competitors] s, [City] c, [State] s
) new
left join
(
select distinct cName, cCity, cState
from [Competitors] s
) existing
on new.cName = existing.cName and new.City = existing.City and new.State = existing.State
where existing.Name is null or existing.City is null or existing.State is null
)

Related

Insert if no PK violation

I need to create a routine that regularly checks a database and make changes if necessary.
Let me explain my problem with the following example.
A Database stores participants and winners of tournaments.
We got two tables storing the base data (tournaments, people)
Furthermore we got two more tables for the references.
Winner table that store tournamentId and peopleId
Participant table that stores tournamentId and peopleId
Now the script should take every entry from the winner table and insert it into the participant table because every winner is a participant as well.
Insert Into ParticipantTable
Select * From WinnerTable
However some users of the database insert winners in the participant table manually, some don't.
The code above won't work since PK Violations can appear.
How can I tell the statement to make insertion only if the entry isn't in participant table yet?
Thanks in advance, sorry for my messi english and keep in mind that the example above is fictional I am aware that the described data model doesn't fit perfectly for the described usecase.
Merge?
merge ParticipantTable as trg
using WinnerTable as src on src.pk_col1 = trg.pk_col1
and src.pk_col2 = trg.pk_col2
... /* here is PK columns binding */
when not matched then
insert (col1, col2, col3, ...)
values (src.col1, src.col2, src.col3, ...);

How to implement many-to-many-to-many database relationship?

I am building a SQLite database and am not sure how to proceed with this scenario.
I'll use a real-world example to explain what I need:
I have a list products that are sold by many stores in various states. Not every Store sells a particular Product at all, and those that do, may only sell it in one State or another. Most stores sell a product in most states, but not all.
For example, let's say I am trying to buy a vacuum cleaner in Hawaii. Joe's Hardware sells vacuums in 18 states, but not in Hawaii. Walmart sells vacuums in Hawaii, but not microwaves. Burger King does not sell vacuums at all, but will give me a Whopper anywhere in the US.
So if I am in Hawaii and search for a vacuum, I should only get Walmart as a result. While other stores may sell vacuums, and may sell in Hawaii, they don't do both but Walmart does.
How do I efficiently create this type of relationship in a relational database (specifically, I am currently using SQLite, but need to be able to convert to MySQL in the future).
Obviously, I would need tables for Product, Store, and State, but I am at a loss on how to create and query the appropriate join tables...
If I, for example, query a certain Product, how would I determine which Store would sell it in a particular State, keeping in mind that Walmart may not sell vacuums in Hawaii, but they do sell tea there?
I understand the basics of 1:1, 1:n, and M:n relationships in RD, but I am not sure how to handle this complexity where there is a many-to-many-to-many situation.
If you could show some SQL statements (or DDL) that demonstrates this, I would be very grateful. Thank you!
An accepted and common way is the utilisation of a table that has a column for referencing the product and another for the store. There's many names for such a table reference table, associative table mapping table to name some.
You want these to be efficient so therefore try to reference by a number which of course has to uniquely identify what it is referencing. With SQLite by default a table has a special column, normally hidden, that is such a unique number. It's the rowid and is typically the most efficient way of accessing rows as SQLite has been designed this common usage in mind.
SQLite allows you to create a column per table that is an alias of the rowid you simple provide the column followed by INTEGER PRIMARY KEY and typically you'd name the column id.
So utilising these the reference table would have a column for the product's id and another for the store's id catering for every combination of product/store.
As an example three tables are created (stores products and a reference/mapping table) the former being populated using :-
CREATE TABLE IF NOT EXISTS _products(id INTEGER PRIMARY KEY, productname TEXT, productcost REAL);
CREATE TABLE IF NOT EXISTS _stores (id INTEGER PRIMARY KEY, storename TEXT);
CREATE TABLE IF NOT EXISTS _product_store_relationships (storereference INTEGER, productreference INTEGER);
INSERT INTO _products (productname,productcost) VALUES
('thingummy',25.30),
('Sky Hook',56.90),
('Tartan Paint',100.34),
('Spirit Level Bubbles - Large', 10.43),
('Spirit Level bubbles - Small',7.77)
;
INSERT INTO _stores (storename) VALUES
('Acme'),
('Shops-R-Them'),
('Harrods'),
('X-Mart')
;
The resultant tables being :-
_product_store_relationships would be empty
Placing products into stores (for example) could be done using :-
-- Build some relationships/references/mappings
INSERT INTO _product_store_relationships VALUES
(2,2), -- Sky Hooks are in Shops-R-Them
(2,4), -- Sky Hooks in x-Mart
(1,3), -- thingummys in Harrods
(1,1), -- and Acme
(1,2), -- and Shops-R-Them
(4,4), -- Spirit Level Bubbles Large in X-Mart
(5,4), -- Spiirit Level Bubble Small in X-Mart
(3,3) -- Tartn paint in Harrods
;
The _product_store_relationships would then be :-
A query such as the following would list the products in stores sorted by store and then product :-
SELECT storename, productname, productcost FROM _stores
JOIN _product_store_relationships ON _stores.id = storereference
JOIN _products ON _product_store_relationships.productreference = _products.id
ORDER BY storename, productname
;
The resultant output being :-
This query will only list stores that have a product name that contains an s or S (as like is typically case sensitive) the output being sorted according to productcost in ASCending order, then storename, then productname:-
SELECT storename, productname, productcost FROM _stores
JOIN _product_store_relationships ON _stores.id = storereference
JOIN _products ON _product_store_relationships.productreference = _products.id
WHERE productname LIKE '%s%'
ORDER BY productcost,storename, productname
;
Output :-
Expanding the above to consider states.
2 new tables states and store_state_reference
Although no real need for a reference table (a store would only be in one state unless you consider a chain of stores to be a store, in which case this would also cope)
The SQL could be :-
CREATE TABLE IF NOT EXISTS _states (id INTEGER PRIMARY KEY, statename TEXT);
INSERT INTO _states (statename) VALUES
('Texas'),
('Ohio'),
('Alabama'),
('Queensland'),
('New South Wales')
;
CREATE TABLE IF NOT EXISTS _store_state_references (storereference, statereference);
INSERT INTO _store_state_references VALUES
(1,1),
(2,5),
(3,1),
(4,3)
;
If the following query were run :-
SELECT storename,productname,productcost,statename
FROM _stores
JOIN _store_state_references ON _stores.id = _store_state_references.storereference
JOIN _states ON _store_state_references.statereference =_states.id
JOIN _product_store_relationships ON _stores.id = _product_store_relationships.storereference
JOIN _products ON _product_store_relationships.productreference = _products.id
WHERE statename = 'Texas' AND productname = 'Sky Hook'
;
The output would be :-
Without the WHERE clause :-
make Stores-R-Them have a presence in all states :-
The following would make Stores-R-Them have a presence in all states :-
INSERT INTO _store_state_references VALUES
(2,1),(2,2),(2,3),(2,4)
;
Now the Sky Hook's in Texas results in :-
Note This just covers the basics of the topic.
You will need to create combine mapping table of product, states and stores as tbl_product_states_stores which will store mapping of products, state and store. The columns will be id, product_id, state_id, stores_id.

Database tables: One-to-many of different types

Due to non-disclosure at my work, I have created an analogy of the situation. Please try to focus on the problem and not "Why don't you rename this table, m,erge those tables etc". Because the actual problem is much more complex.
Heres the deal,
Lets say I have a "Employee Pay Rise" record that has to be approved.
There is a table with single "Users".
There are tables that group Users together, forexample, "Managers", "Executives", "Payroll", "Finance". These groupings are different types with different properties.
When creating a "PayRise" record, the user who is creating the record also selects both a number of these groups (managers, executives etc) and/or single users who can 'approve' the pay rise.
What is the best way to relate a single "EmployeePayRise" record to 0 or more user records, and 0 or more of each of the groupings.
I would assume that the users are linked to the groups? If so in this case I would just link the employeePayRise record to one user that it applies to and the user that can approve. So basically you'd have two columns representing this. The EmployeePayRise.employeeId and EmployeePayRise.approvalById columns. If you need to get to groups, you'd join the EmployeePayRise.employeeId = Employee.id records. Keep it simple without over-complicating your design.
My first thought was to create a table that relates individual approvers to pay rise rows.
create table pay_rise_approvers (
pay_rise_id integer not null references some_other_pay_rise_table (pay_rise_id),
pay_rise_approver_id integer not null references users (user_id),
primary key (pay_rise_id, pay_rise_approver_id)
);
You can't have good foreign keys that reference managers sometimes, and reference payroll some other times. Users seems the logical target for the foreign key.
If the person creating the pay rise rows (not shown) chooses managers, then the user interface is responsible for inserting one row per manager into this table. That part's easy.
A person that appears in more than one group might be a problem. I can imagine a vice-president appearing in both "Executive" and "Finance" groups. I don't think that's particularly hard to handle, but it does require some forethought. Suppose the person who entered the data changed her mind, and decided to remove all the executives from the table. Should an executive who's also in finance be removed?
Another problem is that there's a pretty good chance that not every user should be allowed to approve a pay rise. I'd give some thought to that before implementing any solution.
I know it looks ugly but I think somethimes the solution can be to have the table_name in the table and a union query
create table approve_pay_rise (
rise_proposal varchar2(10) -- foreign key to payrise table
, approver varchar2(10) -- key of record in table named in other_table
, other_table varchar2(15) );
insert into approve_pay_rise values ('prop000001', 'e0009999', 'USERS');
insert into approve_pay_rise values ('prop000001', 'm0002200', 'MANAGERS');
Then either in code a case statement, repeated statements for each other_table value (select ... where other_table = '' .. select ... where other_table = '') or a union select.
I have to admit I shudder when I encounter it and I'll now go wash my hands after typing a recomendation to do it, but it works.
Sounds like you'd might need two tables ("ApprovalUsers" and "ApprovalGroups"). The SELECT statement(s) would be a UNION of UserIds from the "ApprovalUsers" and the UserIDs from any other groups of users that are the "ApprovalGroups" related to the PayRiseId.
SELECT UserID
INTO #TempApprovers
FROM ApprovalUsers
WHERE PayRiseId = 12345
IF EXISTS (SELECT GroupName FROM ApprovalGroups WHERE GroupName = "Executives" and PayRiseId = 12345)
BEGIN
SELECT UserID
INTO #TempApprovers
FROM Executives
END
....
EDIT: this would/could duplicate UserIds, so you would probably want to GROUP BY UserID (i.e. SELECT UserID FROM #TempApprovers GROUP BY UserID)

Creating a partitioned view of detail tables when the CHECK is on the header tables

I've been reading documentation and looking at FAQs and haven't found an answer for this one which probably means it can't be done. My actual situation is a little more complex, but I'll try to simplify it for this question. For each of the past years, I have a header/detail tables with a foreign key linking them. The year datum is in the header records! I want to be able to query all tables concatenated across years.
I have set up views that follows a 'SELECT + UNION ALL' format. I've also put check constraints on the header tables to restrict their values to their respective year. This allows the SQL server query optimizer to only query specific tables when running a query that is restricted with a WHERE clause. Awesome. Up to this point, this information can be found anywhere and everywhere by searching for Partitioned Views.
I want to do the same sort of query optimization with the detail tables but can't figure it out. There is nothing in the detail record that indicates what year it belongs to without joining with the header record; Meaning, the foreign key constraint is the only constraint I have to go off of.
The only solution I've thought of is adding a 'year' column to the detail tables and then adding another where sub clause to the queries. Is there any thing I can do to create a partitioned view of the detail tables using the existing foreign key constraint?
Here is some DDL for reference:
CREATE TABLE header2008 (
hid INT PRIMARY KEY,
dt DATE CHECK ('2008-01-01' <= dt AND dt < '2009-01-01')
)
CREATE TABLE header2009 (
hid INT PRIMARY KEY,
dt DATE CHECK ('2009-01-01' <= dt AND dt < '2010-01-01')
)
CREATE TABLE detail2008 (
did INT PRIMARY KEY,
hid INT FOREIGN KEY REFERENCES header2008(hid),
value INT
)
CREATE TABLE detail2009 (
did INT PRIMARY KEY,
hid INT FOREIGN KEY REFERENCES header2009(hid),
value INT
)
GO
CREATE VIEW headerAll AS
SELECT * FROM header2008 UNION ALL
SELECT * FROM header2009
GO
CREATE VIEW detailAll AS
SELECT * FROM detail2008 UNION ALL
SELECT * FROM detail2009
GO
--This only hits the header2008 table (GOOD)
SELECT *
FROM headerAll h
WHERE dt = '2008-04-04'
--This hits the header2008, detail2008, and detail 2009 tables. (BAD)
SELECT *
FROM headerAll h
INNER JOIN detailAll d ON h.hid = d.hid
WHERE dt = '2008-04-04'
Since you're not going for partitioned tables, I'm assuming you can't target 2005+ Enterprise Edition or higher.
Here is an alternative to adding a new physical column to your tables:
CREATE VIEW detailAll AS
SELECT 2008 AS Year, * FROM detail2008
UNION ALL
SELECT 2009, * FROM detail2009
then,
SELECT *
FROM headerAll h
INNER JOIN detailAll d ON h.hid = d.hid
WHERE dt = '2008-04-04' AND d.Year = 2008
Before you run off and implement this, there is a catch; well, two catches actually.
This solution, like the headerAll view as it's written, cannot accommodate parameters on the partitioning column and still do partition elimination. Using a search predicate of WHERE dt = #date AND d.Year = YEAR(#date) causes table scans across all tables in both views because the query optimizer assumes #date is an arbitrary value (and there's no way to fix that). This is a recipe for a performance disaster if the view is exposed publicly in your database API: there is no restriction on parameterization in queries, and most query authors and ORMs tend to use parameterized queries wherever possible (it's almost always a good thing!).
To get the views to do partition elimination in a real application, you will have to resort to dynamic string execution. How you accomplish this will depend on your business requirements, data requirements, and application architecture. It will be a bit trickier if you're grabbing data from multiple years.
Note also that using dynamic string execution would allow you to write queries directly against the base tables instead of introducing a UNIONed view for each "table". I don't think there's anything wrong with the latter, but this is an option you may not have considered.

table relationships, SQL 2005

Ok I have a question and it is probably very easy but I can not find the solution.
I have 3 tables plus one main tbl.
tbl_1 - tbl_1Name_id
tbl_2- tbl_2Name_id
tbl_3 - tbl_3Name_id
I want to connect the Name_id fields to the main tbl fields below.
main_tbl
___________
tbl_1Name_id
tbl_2Name_id
tbl_3Name_id
Main tbl has a Unique Key for these fields and in the other table, fields they are normal fields NOT NULL.
What I would like to do is that any time when the record is entered in tbl_1, tbl_2 or tbl_3, the value from the main table shows in that field, or other way.
Also I have the relationship Many to one, one being the main tbl of course.
I have a feeling this should be very simple but can not get it to work.
Take a look at SQL Server triggers. This will allow you to perform an action when a record is inserted into any one of those tables.
If you provide some more information like:
An example of an insert
The resulting change you would like
to see as a result of that insert
I can try and give you some more details.
UPDATE
Based on your new comments I suspect that you are working with a denormalized database schema. Below is how I would suggest you structure your tables in the Employee-Medical visit scenario you discussed:
Employee
--------
EmployeeId
fName
lName
EmployeeMedicalVisit
--------------------
VisitId
EmployeeId
Date
Cost
Some important things:
Note that I am not entering the
employees name into the
EmployeeMedicalVisit table, just the EmployeeId. This
helps to maintain data integrity and
complies with First Normal Form
You should read up on 1st, 2nd and
3rd normal forms. Database
normalization is a very imporant
subject and it will make your life
easier if you can grasp them.
With the above structure, when an employee visited a medical office you would insert a record into EmployeeMedicalVisit. To select all medical visits for an employee you would use the query below:
SELECT e.fName, e.lName
FROM Employee e
INNER JOIN EmployeeMedicalVisit as emv
ON e.EployeeId = emv.EmployeeId
Hope this helps!
Here is a sample trigger that may show you waht you need to have:
Create trigger mytabletrigger ON mytable
For INSERT
AS
INSERT MYOTHERTABLE (MytableId, insertdate)
select mytableid, getdate() from inserted
In a trigger you have two psuedotables available, inserted and deleted. The inserted table constains the data that is being inserted into the table you have the trigger on including any autogenerated id. That is how you get the data to the other table assuming you don't need other data at the same time. YOu can get other data from system stored procuders or joins to other tables but not from a form in the application.
If you do need other data that isn't available in a trigger (such as other values from a form, then you need to write a sttored procedure to insert to one table and return the id value through an output clause or using scope_identity() and then use that data to build the insert for the next table.

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