Here is the problem:
We have 3 tables (MS SQL 2008 R2):
Table 1 FILMS (table with films)
Table 2 Songs (table with songs)
Table 3 Titles
Since “Films” and “Songs” can contain more than one title (I have many titles on different languages), I want to keep all of the titles in the separate table “Titles”. Primary keys in tables Films and Songs are based on [int] identity specification with increment +1.
So for example: we can have a film and song with ID=3.
How can I join table “Titles” with “Films” and “Songs”?
P.S. I tried to create unique keys by adding a new column [idKey] with formula to FILMS an SONGS
for Films it was (CONVERT([nvarchar](10),[ID],(0))+'f')
for Songs it was (CONVERT([nvarchar](10),[ID],(0))+'s')
where [ID] is their identity specification
But I wasn’t able to mark this column as a primary key
even if you don't have foreign key constrain in between this three table, you get the the data by joining three table.
SELECT title.*, film.*,songs.*
FROM title t JOIN film f
ON t.title_name = f.title_name
JOIN songs s
ON t.title_name = s.title_name
the point is at-least two table should have a general column
Related
I am trying to merge two tables with financial information about the same list of stocks: the first is the prices table (containing, daily, weekly, monthly, etc... price data) and the second is the ratios table (containing valuation and other ratios). Both tables have identical primary key numerical ID columns (referencing the same stock tickers). After creating a connection cursor cur, My code for doing this is:
CREATE TABLE IF NOT EXISTS prices_n_ratios AS SELECT * FROM
(SELECT * FROM prices INNER JOIN ratios ON prices.id = ratios.id);
DROP TABLE prices;
DROP TABLE ratios;
This works fine except that the new prices_n_ratios table contains an extra column named ID:1 whose name is causing problems during further processing.
How do I avoid the creation of this column, maybe by somehow excluding the second tables's first primary key ID column from * (listing all the column names is not an option), or if I can't, how can I get rid of this extra column from the generated table as I have found it very hard to delete it in SQLite3?
Just list all the columns you actually want in the SELECT clause, instead of using *.
Alternatively, join with the USING clause, which automatically removes the duplicate column:
SELECT * FROM prices JOIN ratios USING (id)
I'm creating a clinic management system where I need to store Medical History for a patient. The user can select multiple history conditions for a single patient, however, each clinic has its own fixed set of Medical History fields.
For example:
Clinic 1:
DiseaseOne
DiseaseTwo
DiseaseThree
Clinic 2:
DiseaseFour
DiseaseFive
DiseaseSize
For my Patient visit in a specific Clinic , the user should be able to check 1 or more Diseases for the patient's medical history based on the clinic type.
I thought of two ways of storing the Medical History data:
First Option:
Add the fields to the corresponding clinic Patient Visit Record:
PatientClinic1VisitRecord:
PatientClinic1VisitRecordId
VisitDate
MedHist_DiseaseOne
MedHist_DiseaseTwo
MedHist_DisearThree
And fill up each MedHist field with the value "True/False" based on the user input.
Second Option:
Have a single MedicalHistory Table that holds all Clinics Medical History detail as well as another table to hold the Patient's medical history in its corresponding visit.
MedicalHistory
ClinicId
MedicalHistoryFieldId
MedicalHistoryFieldName
MedicalHistoryPatientClinicVisit
VisitId
MedicalHistoryFieldId
MedicalHistoryFieldValue
I'm not sure if these approaches are good practices, is a third approach that could be better to use ?
If you only interested on the diseases the person had, then storing the false / non-existing diseases is quite pointless. Not really knowing all the details doesn't help getting the best solution, but I would probably create something like this:
Person:
PersonID
Name
Address
Clinic:
ClinicID
Name
Address
Disease:
DiseaseID
Name
MedicalHistory:
HistoryID (identity, primary key)
PersonID
ClinicID
VisitDate (either date or datetime2 field depending what you need)
DiseaseID
Details, Notes etc
I created this table because my assumption was that people have most likely only 1 disease on 1 visit, so in case there's sometimes several, more rows can be added, instead of creating separate table for the visit, which makes queries most complex.
If you need to track also situation where a disease was checked but result was negative, then new status field is needed for the history table.
If you need to limit which diseases can be entered by which clinic, you'll need separate table for that too.
Create a set of relational tables to get a robust and flexible system, enabling the clinics to add an arbitrary number of diseases, patients, and visits. Also, constructing queries for various group-by criteria will become easier for you.
Build a set of 4 tables plus a Many-to-Many (M2M) "linking" table as given below. The first 3 tables will be less-frequently updated tables. On each visit of a patient to a clinic, add 1 row to the [Visits] table, containing the full detail of the visit EXCEPT disease information. Add 1 row to the M2M [MedicalHistory] table for EACH disease for which the patient will be consulting on that visit.
On a side note - consider using Table-Valued Parameters for passing a number of rows (1 row per disease being consulted) from your front-end program to the SQL Server stored procedure.
Table [Clinics]
ClinicId Primary Key
ClinicName
-more columns -
Table [Diseases]
DiseaseId Primary Key
ClinicId Foreign Key into the [Clinics] table
DiseaseName
- more columns -
Table [Patients]
PatientId Primary Key
ClinicId Foreign Key into the [Clinics] table
PatientName
-more columns -
Table [Visits]
VisitId Primary Key
VisitDate
DoctorId Foreign Key into another table called [Doctor]
BillingAmount
- more columns -
And finally the M2M table: [MedicalHistory]. (Important - All the FK fields should be combined together to form the PK of this table.)
ClinicId Foreign Key into the [Clinics] table
DiseaseId Foreign Key into the [Diseases] table
PatientId Foreign Key into the [Patients] table
VisitId Foreign Key into the [Visits] table
I am fairly green when it comes to working with Access and databases in general.
I am asking for your help in figuring out how to set the correct relationships for three tables:
Table 1 contains:
(no unique ID)
SalesTripID
EmployeeName
StartDate
EndDate
*Each record on this table is related to 1 specific employee's 1 specific sales trip
Table 2 contains:
HotelName
HotelStart
HotelEnd
HotelTotal
*This table may contain multiple records that belong to only 1 record on table 1 (for instance, an employee would stay at 2 hotels during their sales trip)
Table 3 contains:
(no unique ID)
MealVendor
MealDate
MealTotal
*This table, similar to Table 2, may have multiple records in it that are tied to the 1 SalesTripID
How do I set something up to show me each SalesTripID, the multiple Table 2, and the multiple Table 3 records associated with it? Do I need to add a Primary Key anything other than Table 1? Is writing a query involved to display the information? Because I am so green, any and all feedback is welcome.
The following is my recommendation:
Add a SalesTripId field on tables 2,3. This is called a ForeignKey.
If SalesTripId in Table1 is not unique (i.e. each employee can have a trip with the same Id as another employee), add another field (Id) in Table1. You can use Access' AutoNumber type for that field.
I recommend always having a primary key in your tables. But you can skip the Id fields in tables 2,3.
Old version
I have a Person table and the table Company.
both tables have a column Id (Identity)
Table Company have Ids of 1 to 165
In the table Person have Ids 1 until 2029
New Version
In the new version of the system, was created a table Entity.
This table contains the records of the Companies and People
The Company and Person tables will be maintained, referring to the Entity table.
The Id in table Entity will be the same in Company or Person table
Question
Both tables have multiple relationships with other tables.
Table Entity (as well as others) has a column ID (identity).
The problem is that the Id were repeated when the two tables together (It was to be expected).
How to import without losing relationships?
Attempts
I thought of changing the value of Ids in Company table, starts from 2030.
Thus the Ids would not duplicate when joining the two tables.
But this creates another questions.
How to do this without losing existing relationships?
How to change the Id of a row in the table and this is reflected in all tables which it relates?
I would like to do this using only DDL (SQL Server)
I thought of changing the value of Ids in Company table, starts from 2030. Thus the Ids would not duplicate when joining the two tables.
Create foreign key constraints on the Person table to all related tables (or alter the existing foreign key constraints) with ON UPDATE CASCADE. Then update the Person table and change the values if the id columns - these changes will cascade to the related tables.
To stop further problems, maybe change the identity columns in Person and Company to something like identity( 1000, 3 ) and identity (1001, 3) respectively.
However, I think the best idea is to have a different EntityID column in the Entity table, unrelated to PersonID and CompanyID. The Entity table would also have a column called AltEntityID or BusinessKey that contains the id from the other table and that does not have a unique constraint or a foreign key constraint.
And if you make small modification to your attempt - add new column, say newId, to Company and to Person to manage relation with Entity and leave id columns as is. Why this is the simpliest way? Because new columns shouldnot be identity columns, from one side. From the other side, you can leave all logic of relating other tables with Company and Person intact.
I am developing a system in which I have a table Employees with multiple columns related to employees. I have a column for the JobTitle and another column for Department.
In my current design, the JobTitle & the Department columns are compound foreign keys in the Employees table and they are linked with the Groups table which has 2 columns compound primary key (JobTitle & Department) and an extra column for the job description.
I am not happy about this design because I think that linking 2 tables using 2 compound varchar columns is not good for the performance, and I think it would be better to have an Integer column (autonumber) JobTitleID used as the primary key in the Groups table and as a foreign key in the Employees table instead of the the textual JobTitle & the Department columns.
But I had to do this because when I import the employees list (Excel) into my Employees table it can just be directly mapped (JobTitle --> JobTitle & Department --> Department). Otherwise if I am using an integer index as primary key I would have then to manually rename the textual JobTitle column in the excel sheet to a number based on the generated keys from the Groups table in order to import.
Is it fine to keep my database design like this (textual compound primary key linked with textual compound foreign key)? If not, then if I used an integer column in the Groups table as primary key and the same as a foreign key in the Employees table then how can I import the employees list from excel directly to Employees table?
Is it possible to import the list from Excel to SQL Server in a way that the textual JobTitle from the excel sheet will be automatically translated to the corespondent JobTitleID from the Groups table? This would be the best solution, I can then add JobTitleID column in the Groups table as a primary key and as a foreign key in the Employees table.
Thank you,
It sounds like you are trying to make the database table design fit the import of the excel file which is not such a good idea. Forget the excel file and design your db tables first with correct primary keys and relationships. This means either int, bigint or guids for primary keys. This will keep you out of trouble unless you absolutely know the key is unique such as in a SSN. The when you import, then populate the departments and job titles into their respective tables creating their primary keys. Now that they are populated, add those keys to the excel file that can be imported into the employees table.
This is just an example of how I would solve this problem. It is not wrong to use multiple columns as the key but it will definitely keep you out of harms way if you stick with int, bigint or guids for your primary keys.
Look at the answer in this post: how-to-use-bulk-insert...
I would create a simple Stored Procedure that imports your excel data into a temporary unrestricted STAGING table and then do the INSERT into your real table by doing the corresponding table joins to get the right foreign keys and dump the rows that failed to import into an IMPORT FAIL table. Just some thoughts...