I need steps to change my default [dbo] schema to some custom schema say [TEST] in SQL Database. I figured out some of the steps and want to make sure is there any other objects or procedure i should be aware of while migrating the schema.
I need to change the schema name for all my tables, views, functions, store procedures from [dbo] to [TEST].
Is there any other Sql objects i should consider while performing this migration?
There are quite a few potential areas to look at.
At lot will depend on what is in use in your DB.
Things to look for:
Triggers
User Defined Datatypes/Tables
Synonyms / Server Links
Partition Functions / Schemas
Then you may have SSIS,SSRS and SSAS dependencies which you might also want to change...
Whether or not you need to change any of this will be dictated by the exact reason you are moving to a different schema.
If this is something that you plan to do on a regular basis - it might pay dividends to look at your MODEL DB - you might be able to get some quick wins by changing some options here. NB - I wouldn't try this on a Production server !!!
rgds
John
Related
I am designing a multi-tenant database. Many actions that are needed on a per-tenant basis have been written as stored procedures. Almost all of them use dynamic SQL execution since I have not found a way to differentiate between the schemas other than with dynamic statements.
EXEC( 'SELECT * FROM ' + #SchemaName + '.Contacts' )
Is there any way to create a variable representing the schema so I can call the select statements without building them dynamically?
SELECT * FROM #TheSchema.Contacts
SQL Server 2008
FWIW I have found it much more useful to separate customers by database than by schema. Reasons?
All schemas can have identical procedures, thus derive them from model instead of having to create anything. Deployment to multiple databases is no more complex than deployment to multiple schemas, actually less so I'd argue, and the only difference is the application would have to know which database to reference instead of which schema.
Different customers can have different recovery models, be backed up on different schedules, etc. This can improve your backup/restore plan especially as the data set gets larger.
Having each customer in a separate database makes it very easy to move a tenant to a different server if they get too big for the current one. Extracting the data and objects for their schema only will be quite convoluted.
Some customers may legally and/or contractually require that you not store their data in the same database as other customers.
A simpler solution is to keep the stored procedure in each of the tenant databases and execute it inside them.
This question is a bit old, but I am looking into this option as a cost savings measure - since many cloud providers charge per database and the costs associated with storage are less - especially useful for multi-tenant small databases.
From what I understand, a default schema can be set for the login, thus, setting a schema per login would automatically use that schema for all queries and sprocs. Something to consider for those that comes across this question.
Is there a way to make a schema diagram from an SQL Server database using the stored procedures of this database?
I don't mind if I must use an external software.
You could try playing around with CodeSmith Generator. It's SchemaExplorer Schema Discovery API allows you to programmatically access database elements for a given database and do something creative with it. However, it will still be logically hard to reverse-engineer a schema/diagram this way.
You can build a SQLCLR procedure which uses the Scripter Class from the SMO library.
update: more info on the question reveals the idea is to generate a table schema with dependencies based on the content of the stored procedures.
The approach would be to generate the table structure from the information_schema views and then parse the contents of the syscomments table to figure out the relations. This will always be approximate as it is very hard to establish the one-to-many relationships purely from the SQL Statements. I think you can make a guess based on the field which is referenced more.
If you can't see the tables then you can not generate the schema.
That is, you can't if you have permissions on stored procedures only.
At least two reasons:
the stored proc may JOIN and use several tables
you can't see constraints, indexes, keys etc even if you had table names
Basically, you can only:
see what you have permissions on in SSMS etc
see the internals if you have VEIW DEFINITION rights
Edit, after clarification
There is no way to script implied aspects (such as missing foreign keys) of the schema from code
I was wondering what are the best practices in order to write SQL scripts to set up databases for production and/or development, for instance:
Should I include the CREATE DATABASE statement?
Should I create users for the database in the same script?
Is correct to disable FK check before executing the body of the script?
May I include the hole script in a transaction?
Is better to generate 1 script per database than one script for all of them?
Thanks!
The problem with your question is is hard to answer as it depends on the way the scripts are used in what you are trying to achieve. you also don't say which DB server you are using as there are tools provided which can make some tasks easier.
Taking your points in order, here are some suggestions, which will probably be very different to everyone elses :)
Should I include the CREATE DATABASE
statement?
What alternative are you thinking of using? If your question is should you put the CREATE DATABASE statement in the same script as the table creation it depends. When developing DB I use a separate create DB script as I have a script to drop all objects and so I don't need to create the database again.
Should I create users for the database in the same script?
I wouldn't, simply because the users may well change but your schema has not. Might as well manage those changes in a smaller script.
Is correct to disable FK check before executing the body of the script?
If you are importing the data in an attempt to recover the database then you may well have to if you are using auto increment IDs and want to keep the same values. Also you may end up importing the tables "out of order" an not want checks performed.
May I include the whole script in a transaction?
Yes, you can, but again it depends on the type of script you are running. If you are importing data after rebuilding a db then the whole import should work or fail. However, your transaction file is going to be huge during the import.
Is better to generate 1 script per database than one script for all of them?
Again, for maintenance purposes it's probably better to keep them separate.
This probably depends what kind of database and how it is used and deployed. I am developing a n-tier standard application that is deployed at many different customer sites.
I do not add a CREATE DATABASE statement in the script. Creating the the database is a part of the installation script which allows the user to choose server, database name and collation
I have no knowledge about the users at my customers sites so I don't add create users statements also the only user that needs access to the database is the user executing the middle tire application.
I do not disable FK checks. I need them to protect the consistency of the database, even if it is I who wrote the body scripts. I use FK to capture my errors.
I do not include the entire script in one transaction. I require from the users to take a backup of the db before they run any db upgrade scripts. For creating of a new database there is nothing to protect so running in a transaction is unnecessary. For upgrades there are sometimes extensive changes to the db. A couple of years ago we switched from varchar to nvarchar in about 250 tables. Not something you would like to do in one transaction.
I would recommend you to generate one script per database and version control the scripts separately.
Direct answers, please ask if you need to expand on any point
* Should I include the CREATE DATABASE statement?
Normally I would include it since you are creating and owning the database.
* Should I create users for the database in the same script?
This is also a good idea, especially if your application uses specific users.
* Is correct to disable FK check before executing the body of the script?
If the script includes data population, then it helps to disable it so that the order is not too important, otherwise you can get into complex scripts to insert (without fk link), create fk record, update fk column.
* May I include the hole script in a transaction?
This is normally not a good idea. Especially if data population is included as the transaction can become quite unwieldy large. Since you are creating the database, just drop it and start again if something goes awry.
* Is better to generate 1 script per database than one script for all of them?
One per database is my recommendation so that they are isolated and easier to troubleshoot if the need arises.
For development purposes it's a good idea to create one script per database object (one script for each table, stored procedure, etc). If you check them into your source control system that way then developers can check out individual objects and you can easily keep track of versions and know what changed and when.
When you deploy you may want to combine the changes for each release into one single script. Tools like Red Gate SQL compare or Visual Studio Team System will help you do that.
Should I include the CREATE DATABASE statement?
Should I create users for the database in the same script?
That depends on your DBMS and your customer.
In an Oracle environment you will probably never be allowed to do such a thing (mainly because in the Oracle world a "database" is something completely different than e.g. in the PostgreSQL or MySQL world).
Sometimes the customer will have a DBA that won't let you create databases (or schemas or users - depending on the DBMS in use). So you will need to supply that information to the DBA in order for him/her to prepare the environment for your script.
May I include the hole script in a transaction?
That totally depends on the DBMS that you are using.
Some DBMS don't support transactional DDL and will implicitely commit any transaction when you execute a DDL statement, so you need to consider the order of your installation script.
For populating the tables with data I would definitely try to do that in a single transaction, but again this depends on your DBMS.
Some DBMS are faster if you commit only once or very seldomly (Oracle and PostgreSQL fall into this category) but will slow down if you commit more often.
Other DBMS handle smaller but more transactions better and will slow down if the transactions get too big (SQL Server and MySQL tend to fall into that direction)
The best practices will differ considerably on whether it is the first time set-up or a new version being pushed. For the first time set-up yes you need create database and create table scripts. For a new version, you need to script only the changes from the previous version, so no create database and no create table unless it is a new table. Now you need alter table statements becasue you don't want to lose the existing data. I do usually write stored procs, functions and views with a drop and create statment as dropping those pbjects doesn't generally affect the underlying data.
I find it best to create all database changes with scripts that are stored in source control under the version. So if a client is new, you run the create version 1.0 scripts, then apply all the other versions in order. If a client is just upgrading from version 1.2 to version 1.3, then you run just the scripts in version 1.3 source control repository. This would also include scripts to populate or add records to lookup tables.
For transactions you may want to break them up into several chunks not to leave a prod database locked in one transaction.
We also write reversal scripts to return to the old version if need be. This makes life easier if you have a part of a change that causes unanticipated problems on prod (usually performance issues).
This is a simple question yet I was unable to find any information at all about this.
Is it possible to have sub-schemas in SQL Server 2005/2008?
Example:
Having a HR (Human Resources) schema with a sub-schema called Training (with tables related to this). It would end up like HR.Training.* where * would be the tables.
No. You could fake this with roles by putting different users into different roles and allowing those roles to use objects.
Maybe you could fake it in the naming of the schema, like HR_Training.* and HR_Reviews.* and so forth. Cheesy, I know.
Are you coming from an Oracle background by any chance ? Oracle has the concept of Schemas I believe. In SQL Server the closest equivalent is a Database.
You can cross-query from one database to another on the same SQL server very easily and that would give you virtually the same kind of calling syntax
e.g server.database.owner.object
In you case it might look like HRSvr.HR.dbo.xxx and HRSvr.Training.dbo.xxxx.
yea you can make schemas but doesn't seem like you can make sub-schemas. I come from IBM db2 background but our IT folks here don't seen to know that you can other schemas beside the default 'dbo'.
I'm no beginner to using SQL databases, and in particular SQL Server. However, I've been primarily a SQL 2000 guy and I've always been confused by schemas in 2005+. Yes, I know the basic definition of a schema, but what are they really used for in a typical SQL Server deployment?
I've always just used the default schema. Why would I want to create specialized schemas? Why would I assign any of the built-in schemas?
EDIT: To clarify, I guess I'm looking for the benefits of schemas. If you're only going to use it as a security scheme, it seems like database roles already filled that.. er.. um.. role. And using it a as a namespace specifier seems to have been something you could have done with ownership (dbo versus user, etc..).
I guess what I'm getting at is, what do Schemas do that you couldn't do with owners and roles? What are their specifc benefits?
Schemas logically group tables, procedures, views together. All employee-related objects in the employee schema, etc.
You can also give permissions to just one schema, so that users can only see the schema they have access to and nothing else.
Just like Namespace of C# codes.
They can also provide a kind of naming collision protection for plugin data. For example, the new Change Data Capture feature in SQL Server 2008 puts the tables it uses in a separate cdc schema. This way, they don't have to worry about a naming conflict between a CDC table and a real table used in the database, and for that matter can deliberately shadow the names of the real tables.
I know it's an old thread, but I just looked into schemas myself and think the following could be another good candidate for schema usage:
In a Datawarehouse, with data coming from different sources, you can use a different schema for each source, and then e.g. control access based on the schemas. Also avoids the possible naming collisions between the various source, as another poster replied above.
If you keep your schema discrete then you can scale an application by deploying a given schema to a new DB server. (This assumes you have an application or system which is big enough to have distinct functionality).
An example, consider a system that performs logging. All logging tables and SPs are in the [logging] schema. Logging is a good example because it is rare (if ever) that other functionality in the system would overlap (that is join to) objects in the logging schema.
A hint for using this technique -- have a different connection string for each schema in your application / system. Then you deploy the schema elements to a new server and change your connection string when you need to scale.
At an ORACLE shop I worked at for many years, schemas were used to encapsulate procedures (and packages) that applied to different front-end applications. A different 'API' schema for each application often made sense as the use cases, users, and system requirements were quite different. For example, one 'API' schema was for a development/configuration application only to be used by developers. Another 'API' schema was for accessing the client data via views and procedures (searches). Another 'API' schema encapsulated code that was used for synchronizing development/configuration and client data with an application that had it's own database. Some of these 'API' schemas, under the covers, would still share common procedures and functions with eachother (via other 'COMMON' schemas) where it made sense.
I will say that not having a schema is probably not the end of the world, though it can be very helpful. Really, it is the lack of packages in SQL Server that really creates problems in my mind... but that is a different topic.
I tend to agree with Brent on this one... see this discussion here. http://www.brentozar.com/archive/2010/05/why-use-schemas/
In short... schemas aren't terribly useful except for very specific use cases. Makes things messy. Do not use them if you can help it. And try to obey the K(eep) I(t) S(imple) S(tupid) rule.
I don't see the benefit in aliasing out users tied to Schemas. Here is why....
Most people connect their user accounts to databases via roles initially, As soon as you assign a user to either the sysadmin, or the database role db_owner, in any form, that account is either aliased to the "dbo" user account, or has full permissions on a database. Once that occurs, no matter how you assign yourself to a scheme beyond your default schema (which has the same name as your user account), those dbo rights are assigned to those object you create under your user and schema. Its kinda pointless.....and just a namespace and confuses true ownership on those objects. Its poor design if you ask me....whomever designed it.
What they should have done is created "Groups", and thrown out schemas and role and just allow you to tier groups of groups in any combination you like, then at each tier tell the system if permissions are inherited, denied, or overwritten with custom ones. This would have been so much more intuitive and allowed DBA's to better control who the real owners are on those objects. Right now its implied in most cases the dbo default SQL Server user has those rights....not the user.
I think schemas are like a lot of new features (whether to SQL Server or any other software tool). You need to carefully evaluate whether the benefit of adding it to your development kit offsets the loss of simplicity in design and implementation.
It looks to me like schemas are roughly equivalent to optional namespaces. If you're in a situation where object names are colliding and the granularity of permissions is not fine enough, here's a tool. (I'd be inclined to say there might be design issues that should be dealt with at a more fundamental level first.)
The problem can be that, if it's there, some developers will start casually using it for short-term benefit; and once it's in there it can become kudzu.
In SQL Server 2000, objects created were linked to that particular user, like if a user, say
Sam creates an object, say, Employees, that table would appear like: Sam.Employees. What
about if Sam is leaving the compnay or moves to so other business area. As soon you delete
the user Sam, what would happen to Sam.Employees table? Probably, you would have to change
the ownership first from Sam.Employees to dbo.Employess. Schema provides a solution to
overcome this problem. Sam can create all his object within a schemam such as Emp_Schema.
Now, if he creates an object Employees within Emp_Schema then the object would be
referred to as Emp_Schema.Employees. Even if the user account Sam needs to be deleted, the
schema would not be affected.
development - each of our devs get their own schema as a sandbox to play in.
Here a good implementation example of using schemas with SQL Server. We had several ms-access applications. We wanted to convert those to a ASP.NET App portal. Every ms-access application is written as an App for that portal. Every ms-access application has its own database tables. Some of those are related, we put those in the common dbo schema of SQL Server. The rest gets its own schemas. That way if we want to know what tables belong to an App on the ASP.NET app portal that can easily be navigated, visualised and maintained.