After having used an application for over 10 years, and been constantly limited by its lack of extensibility, we have decided to rewrite it fully from scratch. Because the new architecture differs from the old application, the database is also different. Here comes the problem: Is there any industrial process for migrating the data from the previous database to the new one? Some tables are alike, others are not. Overall, we need a process that will help us make sure that no data or logical constraints is lost during the migration.
PS: The old and new database are both Oracle databases.
Although you don't specify this in your question, I assume that you're going to develop the new version of your application/database, and then at some switchover point you need to migrate all of the live data from your old database into your new database.
If this is the case, then you're really asking about two distinct processes: the migration (with some modifications) of the database structure, followed later by the migration of the data itself.
For the first process, the best tool is you, the developer (I don't mean you're a "tool" - you know what I mean). You could bring over the structure of the old database and then change it as necessary for the new version; however, this approach in general tends to leave too much of the old structure behind. I think it's better to take advantage of the situation and rebuild the database from the ground up, using the original database just as a general reference.
For the second process, I would treat the data migration as a separate task requiring a separately-written and -tested application. This application could be a set of scripts or a compiled application or whatever is most convenient for you. Because your old and new databases will not have the same structure (and may in fact be very different), there are no commercial tools out there that will handle this task for you automagically. By treating this as a distinct application that you write yourself, you can test the data conversion process many times before your "go live" date.
I've heard of several different ways to attack problems such as this. The most simple solution I've seen is to use a Microsoft Access database and use ODBC connection to connect to both the new and old Oracle databases. You can then use Access to migrate and transform the data as you need.
The more elegant solution involes installing Microsoft SQL Server Development tools. You can use Business Intelligence Development Studio to create a SSIS package with two Oracle endpoints. SSIS can handle the heavy lifting of transforming the data between the databases and you can run the package locally so you don't have to have an instance of SQL Server running anywhere.
There's a tutorial series for SSIS at:
http://www.developerdotstar.com/community/node/364
You might also want to check out Oracle Warehouse Builder (OWB). The name is a little confusing, but it's Oracle's ETL (Extract, Transform, and Load) package. I've never used it personally, but it might do what you're looking to do as well.
Related
I would like to know how you guys deal with development database changes in groups of 2 or more devs? Do you have a global db everyone access, maybe a local copy and manually apply script changes? It would be nice to see pros and cons that you've noticed for each approach and the number of devs in your team.
Start with "Evolutionary Database Design" by Martin Fowler. This sums it up nicely
There are have been other questions about DB development that may be useful too, for example Is RedGate SQL Source Control for me?
Our approach is that everyone has their own DB, the complete DB can be created from create scripts with base data if required. All the scripts required for this are in source control.
All scripts are CREATE scripts and they reflect the current state of the database schema. Upgrades are in separate SQL files which can upgrade existing DBs from a specific version to a newer one (run sequentially). After all the updates have been applied, the schema must be identical to what you would get from running the setup scripts.
We have some tools to do this (we use SQL Server and .NET):
Scripting is done with a tool which also applies a standard formatting so that the changes are well traceable with text diff tools (and by the SCM)
A runtime module takes care of comparing the existing DB objects, run updates if required, automatically apply "non-destructive" changes, then check the DB objects again to ensure a correct migration before committing the changes
The toolset is available as open-source project (licensed under LGPL), it's called the bsn ModuleStore (note that it is limited to SQL Server 2005/2008/Azure and to .NET for the runtime part).
We use what was code named "Data Dude" - the database features in TFS and Visual Studio - to deal with this. When you "get latest" and bring in code that relies on a schema change, you also bring in the revised schemas, stored procedures etc. You rigght-click the database project and Deploy; that gets your local schema and sp in sync but doesn't overwrite your data. The job of working out the script to get you from your old schema to the new one falls to Visual Studio, not to you or your DBA. We also have "populate" scripts for things like lists of provinces and a deploy runs them for you.
So much better than the old way which always fell apart at high stress times, with people checking in code then going home and nobody knowing what columns to add to make the code work etc.
I am using github for maintaining versions and code synchronization.
We are team of two and we are located at different places.
How can we make sure that our databases are synchronized.
Update:--
I am rails developer. But these days i m working on drupal projects (where database is the center of variations). So i want to make sure that team must have a synchronized database. Also the values in various tables.
I need something which keep our data values synchronized.
Centralized database is a good solution. But things get disturbed when someone works offline
if you use visual studio then you can script your database tables, views, stored procedures and functions as .sql files from a database solution and then check those into version control as well - its what i currently do at my workplace
In you dont use visual studio then you can still script your sql as .sql files [but with more work] and then version control them as necessary
Have a look at Red Gate SQL Source Control - http://www.red-gate.com/products/SQL_Source_Control/
To be honest I've never used it, but their other software is fantastic. And if all you want to do is keep the DB schema in sync (rather than full source control) then I have used their SQL Compare product very succesfully in the past.
(ps. I don't work for them!)
You can use Sql Source Control together with Sql Data Compare to source control both: schema and data. Here is an article from redgate: Source controlling data.
These are some of the possibilities.
Using the same database. Set-up a central database where everybody can connect to. This way you are sure everybody uses the same database all the time.
After every change, export the database and commit it to the VCS. This option requires discipline and manual labor.
Use some kind of other definition of the schema. For example, Doctrine for php has the ability to build the database from a yaml definition which can be stored in the vcs. This can be easier automated then point 2.
Use some other software/script which updates the database.
I feel your pain. I had terrible trouble getting SQL Server to play nice with SVN. In the end I opted for a shared database solution. Every day I run an extensive script to backup all our schema definitions (specifically stored procedures) for version control into text files. Due to the limited number of changes this works well.
I now use this technique for our major project and personal projects too. The only negative is that it relies on being connected all the time. The other answers suggest that full database versioning is very time consuming and I tend to agree. For "live" upgrades we use the Red Gate tools, they do both schema and data compare and it works very well.
http://www.red-gate.com/products/SQL_Data_Compare/. We were using this tool for keeping databases in sync in our company. Later we had some specific demands so we had to write our own code for synchronization. Depends how complex is you database and how much changes is happening. It is much simpler if you have time when no one is working and you can lock database for syncronization.
Check out OffScale DataGrove.
This product tracks changes to the entire DB - schema and data. You can tag versions in any point in time, and return to older states of the DB with a simple command. It also allows you to create virtual, separate, copies of the same database so each team member can have his own separate DB. All the virtual copies are tracked into the same repository so it's super-easy to revert your DB to someone else's version (you simply check-out their version, just like you do with your source control). This means all your DBs can always be synchronized.
Regarding a centralized DB - just like you don't want to work on the same source code, you don't want to be working on the same DB. It means you'll constantly break each other's code and builds each time someone changes something in the DB.
I suggest that you go with a separate DB for each developer, and sync them using DataGrove.
Disclaimer - I work at OffScale :-)
Try Wizardby. This is my personal project, but I've used it in my several previous jobs with great deal of success.
Basically, it's a tool which lets you specify all changes to your database schema in a database-independent manner and then apply these changes to all your databases.
I've recently asked a question about how suitable a DVCS is for the corporate environment, and that has sparked another question for me.
One of the plus sides to a DVCS seems to be that you can easily branch and try out new things. My problem starts when I begin to think about database changes. I've always found it tricky to get a DB into a VCS and it just sounds like it's going to be even harder with a DVCS.
So, whats the best way to work with databases and a DVCS?
EDIT: I've started looking into Migrator.NET. What do people think of projects like this for easily moving between versions specificaly with experimental branches in your DVCS?
I think the best way to deal with this issue is to work with DB Schemas, not the databases themselves. In this case, each developer would have their own database to develop against.
Here are some of the options available:
Migrations framework within Ruby on Rails.
South for Django, in addition to the schema being defined in the model classes themselves.
Visual Studio 2008 Team System Database Edition for .NET: You define the schema and the tool can do a diff on schema and data to generate scripts to go between different versions of the database.
These may give you some inspiration on how to deal with putting a database in version control. Another benefit that comes when you deal schemas is that you can more readily implement TDD and Continuous Integration (CI). Your TDD/CI environment would be able to build up a new version of the database and then run tests against the newly generated environment.
Version all the scripts you're using to manage your database. If you need to have "in-development" changes to a DB, make them on your personal DB until such time as you "publish" your changes.
Database version control is always the most difficult thing in a multi-developer environment.
Typically each user will have their own DB which is a chimera of some but not all of the DB changes. When they make changes, they'll need to commit their change scripts. This gets really awkward. The core problems seem to stem from database changes affecting many aspects of the system and multiple table changes being dependent on each other - and how to migrate to the new schema from the old schema. Migrating data to a new schema is typically non-trivial. Often you want to default a column when data is copied to the new schema, but NOT default a column in general for INSERT, say. These are typically already difficult in production deployment issues and having to manage the database during development when the database design could be in major flux in the same way as a major deployment is a lot more work than you usually need to be doing in development. Time that could be better spent ensuring that your database is well-designed - constraints, foregin keys, etc.
Because the developers are more likely to step on each other with database changes, we always had a database chokepoint - the developers all developed against the SAME development database and made their changes "live". Then the dev database was version controlled independently. This is not really easy when people are offsite or whatever. Another alternative is to have designated database developers who coordinate changes several developers need to the same table - that doesn't need to be their entire job, but gives you better DB design consistency. Or you can coordinate database revisions so that people become more aware of the DB revs other people are doing and time their changes to wait until a DB rev is available from another developer.
The best way to not put database into VCS in binary form. Period.
If you have text representation of your database and you have special merge tool to resolve conflicts when your database will be changed in different branches -- then you can start thinking about versioning databases. Otherwise it will be constant pain in the ass.
As you develop an application database changes inevitably pop up. The trick I find is keeping your database build in step with your code. In the past I have added a build step that executed SQL scripts against the target database but that is dangerous in so much as you could inadvertanly add bogus data or worse.
My question is what are the tips and tricks to keep the database in step with the code? What about when you roll back the code? Branching?
Version numbers embedded in the database are helpful. You have two choices, embedding values into a table (allows versioning multiple items) that can be queried, or having an explictly named object (such as a table or somesuch) you can test for.
When you release to production, do you have a rollback plan in the event of unexpected catastrophe? If you do, is it the application of a schema rollback script? Use your rollback script to rollback the database to a previous code version.
You should be able to create your database from scratch into a known state.
While being able to do so is helpful (especially in the early stages of a new project), many (most?) databases will quickly become far too large for that to be possible. Also, if you have any BLOBs then you're going to have problems generating SQL scripts for your entire database.
I've definitely been interested in some sort of DB versioning system, but I haven't found anything yet. So, instead of a solution, you'll get my vote. :-P
You really do want to be able to take a clean machine, get the latest version from source control, build in one step, and run all tests in one step. Making this fast makes you produce good software faster.
Just like external libraries, database configuration must also be in source control.
Note that I'm not saying that all your live database content should be in the same source control, just enough to get to a clean state. (Do back up your database content, though!)
Define your schema objects and your reference data in version-controlled text files. For example, you can define the schema in Torque format, and the data in DBUnit format (both use XML). You can then use tools (we wrote our own) to generate the DDL and DML that take you from one version of your app to another. Our tool can take as input either (a) the previous version's schema & data XML files or (b) an existing database, so you are always able to get a database of any state into the correct state.
I like the way that Django does it. You build models and the when you run a syncdb it applies the models that you have created. If you add a model you just need to run syncdb again. This would be easy to have your build script do every time you made a push.
The problem comes when you need to alter a table that is already made. I do not think that syncdb handles that. That would require you to go in and manually add the table and also add a property to the model. You would probably want to version that alter statement. The models would always be under version control though, so if you needed to you could get a db schema up and running on a new box without running the sql scripts. Another problem with this is keeping track of static data that you always want in the db.
Rails migration scripts are pretty nice too.
A DB versioning system would be great, but I don't really know of such a thing.
While being able to do so is helpful (especially in the early stages of a new project), many (most?) databases will quickly become far too large for that to be possible. Also, if you have any BLOBs then you're going to have problems generating SQL scripts for your entire database.
Backups and compression can help you there. Sorry - there's no excuse not to be able to get a a good set of data to develop against. Even if it's just a sub-set.
Put your database developments under version control. I recommend to have a look at neXtep designer :
http://www.nextep-softwares.com/wiki
It is a free GPL product which offers a brand new approach to database development and deployment by connecting version information with a SQL generation engine which could automatically compute any upgrade script you need to upgrade any version of your database into another. Any existing database could be version controlled by a reverse synchronization.
It currently supports Oracle, MySql and PostgreSql. DB2 support is under development. It is a full-featured database development environment where you always work on version-controlled elements from a repository. You can publish your updates by simple synchronization during development and you can generate exportable database deliveries which you will be able to execute on any targetted database through a standalone installer which validates the versions, performs structural checks and applies the upgrade scripts.
The IDE also offers you SQL editors, dependency management, support for modular database model components, data model diagrams, SQL clients and much more.
All the documentation and concepts could be found in the wiki.
I wonder how you guys manage deployment of a database between 2 SQL Servers, specifically SQL Server 2005.
Now, there is a development and a live one. As this should be part of a buildscript (standard windows batch, even do with current complexity of those scripts, i might switch to PowerShell or so later), Enterprise Manager/Management Studio Express do not count.
Would you just copy the .mdf File and attach it? I am always a bit careful when working with binary data, as this seems to be a compatiblity issue (even though development and live should run the same version of the server at all time).
Or - given the lack of "EXPLAIN CREATE TABLE" in T-SQL - do you do something that exports an existing database into SQL-Scripts which you can run on the target server? If yes, is there a tool that can automatically dump a given Database into SQL Queries and that runs off the command line? (Again, Enterprise Manager/Management Studio Express do not count).
And lastly - given the fact that the live database already contains data, the deployment may not involve creating all tables but rather checking the difference in structure and ALTER TABLE the live ones instead, which may also need data verification/conversion when existing fields change.
Now, i hear a lot of great stuff about the Red Gate products, but for hobby projects, the price is a bit steep.
So, what are you using to automatically deploy SQL Server Databases from Test to Live?
I've taken to hand-coding all of my DDL (creates/alter/delete) statements, adding them to my .sln as text files, and using normal versioning (using subversion, but any revision control should work). This way, I not only get the benefit of versioning, but updating live from dev/stage is the same process for code and database - tags, branches and so on work all the same.
Otherwise, I agree redgate is expensive if you don't have a company buying it for you. If you can get a company to buy it for you though, it really is worth it!
For my projects I alternate between SQL Compare from REd Gate and the Database Publishing Wizard from Microsoft which you can download free
here.
The Wizard isn't as slick as SQL Compare or SQL Data Compare but it does the trick. One issue is that the scripts it generates may need some rearranging and/or editing to flow in one shot.
On the up side, it can move your schema and data which isn't bad for a free tool.
Don't forget Microsoft's solution to the problem: Visual Studio 2008 Database Edition. Includes tools for deploying changes to databases, producing a diff between databases for schema and/or data changes, unit tests, test data generation.
It's pretty expensive but I used the trial edition for a while and thought it was brilliant. It makes the database as easy to work with as any other piece of code.
Like Rob Allen, I use SQL Compare / Data Compare by Redgate. I also use the Database publishing wizard by Microsoft. I also have a console app I wrote in C# that takes a sql script and runs it on a server. This way you can run large scripts with 'GO' commands in it from a command line or in a batch script.
I use Microsoft.SqlServer.BatchParser.dll and Microsoft.SqlServer.ConnectionInfo.dll libraries in the console application.
I work the same way Karl does, by keeping all of my SQL scripts for creating and altering tables in a text file that I keep in source control. In fact, to avoid the problem of having to have a script examine the live database to determine what ALTERs to run, I usually work like this:
On the first version, I place everything during testing into one SQL script, and treat all tables as a CREATE. This means I end up dropping and readding tables a lot during testing, but that's not a big deal early into the project (since I'm usually hacking the data I'm using at that point anyway).
On all subsequent versions, I do two things: I make a new text file to hold the upgrade SQL scripts, that contain just the ALTERs for that version. And I make the changes to the original, create a fresh database script as well. This way an upgrade just runs the upgrade script, but if we have to recreate the DB we don't need to run 100 scripts to get there.
Depending on how I'm deploying the DB changes, I'll also usually put a version table in the DB that holds the version of the DB. Then, rather than make any human decisions about which scripts to run, whatever code I have running the create/upgrade scripts uses the version to determine what to run.
The one thing this will not do is help if part of what you're moving from test to production is data, but if you want to manage structure and not pay for a nice, but expensive DB management package, is really not very difficult. I've also found it's a pretty good way of keeping mental track of your DB.
If you have a company buying it, Toad from Quest Software has this kind of management functionality built in. It's basically a two-click operation to compare two schemas and generate a sync script from one to the other.
They have editions for most of the popular databases, including of course Sql Server.
I agree that scripting everything is the best way to go and is what I advocate at work. You should script everything from DB and object creation to populating your lookup tables.
Anything you do in UI only won't translate (especially for changes... not so much for first deployments) and will end up requiring a tools like what Redgate offers.
Using SMO/DMO, it isn't too difficult to generate a script of your schema. Data is a little more fun, but still doable.
In general, I take "Script It" approach, but you might want to consider something along these lines:
Distinguish between Development and Staging, such that you can Develop with a subset of data ... this I would create a tool to simply pull down some production data, or generate fake data where security is concerned.
For team development, each change to the database will have to be coordinated amongst your team members. Schema and data changes can be intermingled, but a single script should enable a given feature. Once all your features are ready, you bundle these up in a single SQL file and run that against a restore of production.
Once your staging has cleared acceptance, you run the single SQL file again on the production machine.
I have used the Red Gate tools and they are great tools, but if you can't afford it, building the tools and working this way isn't too far from the ideal.
I'm using Subsonic's migrations mechanism so I just have a dll with classes in squential order that have 2 methods, up and down. There is a continuous integration/build script hook into nant, so that I can automate the upgrading of my database.
Its not the best thign in the world, but it beats writing DDL.
RedGate SqlCompare is a way to go in my opinion. We do DB deployment on a regular basis and since I started using that tool I have never looked back.
Very intuitive interface and saves a lot of time in the end.
The Pro version will take care of scripting for the source control integration as well.
I also maintain scripts for all my objects and data. For deploying I wrote this free utility - http://www.sqldart.com. It'll let you reorder your script files and will run the whole lot within a transaction.
I agree with keeping everything in source control and manually scripting all changes. Changes to the schema for a single release go into a script file created specifically for that release. All stored procs, views, etc should go into individual files and treated just like .cs or .aspx as far as source control goes. I use a powershell script to generate one big .sql file for updating the programmability stuff.
I don't like automating the application of schema changes, like new tables, new columns, etc. When doing a production release, I like to go through the change script command by command to make sure each one works as expected. There's nothing worse than running a big change script on production and getting errors because you forgot some little detail that didn't present itself in development.
I have also learned that indexes need to be treated just like code files and put into source control.
And you should definitely have more than 2 databases - dev and live. You should have a dev database that everybody uses for daily dev tasks. Then a staging database that mimics production and is used to do your integration testing. Then maybe a complete recent copy of production (restored from a full backup), if that is feasible, so your last round of installation testing goes against something that is as close to the real thing as possible.
I do all my database creation as DDL and then wrap that DDL into a schema maintainence class. I may do various things to create the DDL in the first place but fundamentally I do all the schema maint in code. This also means that if one needs to do non DDL things that don't map well to SQL you can write procedural logic and run it between lumps of DDL/DML.
My dbs then have a table which defines the current version so one can code a relatively straightforward set of tests:
Does the DB exist? If not create it.
Is the DB the current version? If not then run the methods, in sequence, that bring the schema up to date (you may want to prompt the user to confirm and - ideally - do backups at this point).
For a single user app I just run this in place, for a web app we currently to lock the user out if the versions don't match and have a stand alone schema maint app we run. For multi-user it will depend on the particular environment.
The advantage? Well I have a very high level of confidence that the schema for the apps that use this methodology is consistent across all instances of those applications. Its not perfect, there are issues, but it works...
There are some issues when developing in a team environment but that's more or less a given anyway!
Murph
I'm currently working the same thing to you. Not only deploying SQL Server databases from test to live but also include the whole process from Local -> Integration -> Test -> Production. So what can make me easily everyday is I do NAnt task with Red-Gate SQL Compare. I'm not working for RedGate but I have to say it is good choice.