I have two databses on a SQL Server -- one for development (call it "TestData"), and one for production (call it "LiveData"). I make changes to TestData -- typically adding tables or adding new fields to existing tables (rarely dropping anything) and creating or modifying Stored Procedures. At some point, I would like to update the LiveData tables, stored procedures, etc. with the changes made to TestData. I only want this to affect the schema, not the actual data. What is the best way to do this? I am new to SQL Server, so the more detailed the explanation, the better.
edit: I know there are third-party programs out there, but I'm looking into ways to do this without a separate software, just using scripts, etc.
You might want to take a look at redgate SQL Compare.
DBComparer is a great free utility to compare schemas. It is a little buggy and crashes sometimes, but other than that it works great.
Related
I have two databases: Sybase and MySQL. I need to export records to MySql when these are inserted in Sybase or export in some scheduled event.
I've tried with output statement but this can not be used in triggers or procedures.
Any suggestion to solve this problem?
(disclaimer, I've done similar things previously, but by no means would I consider the answer below the state of the art - just one possible approach
google around something like 'cross-database replication' or 'cross rdbms replication' to see who's done this before.
).
I would first of all see if you can't score an ETL tool do the job without too much work. There are free open source ones and even things like Microsoft SSIS might work on non-MS databases.
If not, I would split this into different steps.
Find an appropriate Sybase output command that exports a subset of rows from one or more tables. By subset I mean you need to be able to add a WHERE clause, not just do a full table dump.
Use an appropriate MySQL import script/command to load the data gotten out of step #1. You may need to cycle back and forth between the 2 till you have something that works manually.
Write a Sybase trigger to insert lookup keys into a to-export table. You want to store at least the tablename & source Sybase table's keys for each inserted row. Use column names like key1_char, key2_char, not the actual column names, that makes it easier to extend to other source tables as needed. keep trigger processing as light as possible. What about updates btw?
Write a scheduled batch on Sybase side to run step #1 for the rows flagged in #3.
Write a scheduled batch on Mysql to import ,via #2, the results of #4. Or kick it off from #4.
Another approach is to do the #3 flagging bit as needed, but use to drive one scheduled batch that SELECTs data from Sybase and INSERTs it into mysql directly.
You'll have to pick up the data from Sybase's SELECT and bind it manually to the INSERT of mysql. But you probably get finer control over whats going on and you don't have to juggle 2 batches. That's what I think a clever ETL would already be doing on your behalf. Any half clever scripting language like php, python or ruby ought to handle it easily. Especially important if you have things like surrogate/auto-generated keys.
Keep in mind that in both cases you'll have to either delete the to-export rows that you've successfully inserted or flag them as done.
I need to migrate the exceeding database value with new one. I have two database like test and test new. I create the both database with same data. I made the all changes in test now I need migrate that changes in test new without affecting existing value.
If table schema is different, how will I then go about doing this? In my prev job, what I did was import data (in my case, from Access) into my destination (MySQL) leaving table structures, then use SQL to select data and manipulate as required into final destination tables.
in my case, where I don't have documentation for the old database, and the columns was not named correctly, e.g. it uses say 'field1', 'field2' etc. I needed to trace from the application code what the columns mean. Is there any better way? Also, sometimes columns contain multiple values in delimited data, is reading code the only way?
It sounds like you know what to do, but are just not keen to do it.
If there is no documentation then it makes sense that you will have to go to the code to figure out what it does. Regarding porting it across you will most likely have to write custom scripts that pull the data, manipulate it and insert it into the new table based on the new structure.
There are some tools to generate migration scripts - i.e. scripts that generate inserts for all your data. I think mysql workbench does it, but it most likely won't be sufficient since your tables have different structures.
I would like to implement a custom database initialization strategy so that I can:
generate the database if not exists
if model change create only new tables
if model change create only new fields without dropping the table and losing the data.
Thanks in advance
You need to implement IDatabaseInitializer interface.
Eg
public class MyInitializer : IDatabaseInitializer<MyDbContext>
{
public void InitializeDatabase(MyDbContext context)
{
//your logic here
}
}
And then set your initializer at your application startup
Database.SetInitializer<ProductCatalog>(new MyInitializer());
Here's an example
You will have to manually execute commands to alter the database.
context.ObjectContext.ExecuteStoreCommand("ALTER TABLE dbo.MyTable ADD NewColumn VARCHAR(20) NULL");
You can use a tool like SQL Compare to script changes.
There is a reason why this doesn't exist yet. It is very complex and moreover IDatabaseInitializer interface is not very prepared for such that (there is no way to make such initialization database agnostic). Your question is "too broad" to be answered to your satisfaction. With your reaction to #Eranga's correct answer you simply expect that somebody will tell you step by step how to do that but we will not - that would mean we will write the initializer for you.
What you need to do what you want?
You must have very good knowledge of SQL Server. You must know how does SQL server store information about database, tables, columns and relations = you must understand sys views and you must know how to query them to get data about current database structure.
You must have very good knowledge of EF. You must know how does EF store mapping information. You must be able to explore metadata get information about expected tables, columns and relations.
Once you have old database description and new database description you must be able to write a code which will correctly explore changes and create SQL DDL commands for changing your database. Even this look like the simplest part of the whole process this is actually the hardest one because there are many other internal rules in SQL server which cannot be violated by your commands. Sometimes you really need to drop table to make your changes and if you don't want to lose data you must first push them to temporary table and after recreating table you must push them back. Sometimes you are doing changes in constraints which can require temporarily turning constrains off, etc. There is good reason why tools which do this on SQL level (comparing two databases) are probably all commercial.
Even ADO.NET team doesn't implemented this and they will not implement it in the future. Instead they are working on something called migrations.
Edit:
That is true that ObjectContext can return you script for database creation - that is exactly what default initializers are using. But how it could help you? Are you going to parse that script to see what changed? Are you going to execute that script in another connection to use the same code as for current database to see its structure?
Yes you can create a new database, move data from the old database to a new one, delete the old one and rename a new one but that is the most stupid solution you can ever imagine and no database administrator will ever allow that. Even this solution still requires analysis of changes to create correct data transfer scripts.
Automatic upgrade is a wrong way. You should always prepare upgrade script manually with help of some tools, test it and after that execute it manually or as part of some installation script / package. You must also backup your database before you are going to do any changes.
The best way to achieve this is probably with migrations:
http://nuget.org/List/Packages/EntityFramework.SqlMigrations
Good blog posts here and here.
Just some pointers here.
I am making fairly extensive modifications to a site, including the MySQL database.
My plan is to do everything on my development server, export the new MySQL structure for the db and import it onto the clients server.
Basically I need to know that performing a structure only import will not overwrite/delete existing data. I am not making changes to the data type or field length.
In my experience, when you export a database (through phpMyAdmin for instance), part of the SQL script that is created includes a "DROP TABLE IF EXISTS 'table_name';" before doing a "CREATE TABLE 'table_name'...;" to build the new table.
My guess is that this is not what you want to do! Certainly use the dev system to alter the structure in order to make everything correct, but then look around for a database synchronisation routine where you can provide the old structure, the new structure, and the software will create the appropriate "ALTER TABLE 'table_name'...;" scripts to make the required changes.
You should then really examine these change files before executing them on the live database, and of course BACKUP the live database, and ensure you are able to fully recover from the backup before starting any of the alterations!
I've had to do this a lot, and it always goes like this:
Make a backup of the live database, complete with data.
Make a backup of the live database schema only.
Calculate the differences between the old (live) schema and the new (devel) schema.
Create all of the 'ALTER TABLE ...' DDL statements necessary to upgrade from the old schema to the new one. Keep in mind that if you rename a field, you probably won't be able to just rename it -- you'll need to create the new field, copy the data from the old field, and then drop the old field.
If you changed relationships between tables, you'll probably need to drop indexes and foreign key relationships first, and then add them back afterwards.
You'll need to populate any new fields based upon their default values, if any.
Once you've got all the pieces working, you'll need to combine them into one large script, and then run it on a copy of the live database.
Dump the schema and compare it against the desired new schema -- if they don't match, go back to step 3 and repeat.
Dump the data and compare it against the expected changes -- again, if they don't match, go back to step 3 and repeat.
You're going to learn a lot more about SQL DDL/DML during this process than you ever thought you'd learn. (For one project, where we were switching from natural keys to UUID keys for 50+ tables, I ended up writing programs to generate all of the DDL/DML.)
Good luck, and make frequent backups.
I'd recommend to prepare a sql script for every change you do on development server, so you will be able to reproduce it on development. You shouldn't get to the point where you need to calculate differences between database structures
This is how I do it, all changes are reflected in sql scripts, and I can reconstruct the history of my database running all these files if needed.
Test the final release version on a "staging" mysql server. Make a copy of your production server on another machine and test your script to make sure everything's ok.
Of course, preliminary database backup is a must.
I need to convert data that already exists in a MySQL database, to a SQL Server database.
The caveat here is that the old database was poorly designed, but the new one is in a proper 3N form. Does any one have any tips on how to go about doing this? I have SSMS 2005.
Can I use this to connect to the MySQL DB and create a DTS? Or do I need to use SSIS?
Do I need to script out the MySQL DB and alter every statement to "insert" into the SQL Server DB?
Has anyone gone through this before? Please HELP!!!
See this link. The idea is to add your MySQL database as a linked server in SQL Server via the MySQL ODBC driver. Then you can perform any operations you like on the MySQL database via SSMS, including copying data into SQL Server.
Congrats on moving up in the RDBMS world!
SSIS is designed to do this kind of thing. The first step is to map out manually where each piece of data will go in the new structure. So your old table had four fields, in your new structure fileds1 and 2 go to table a and field three and four go to table b, but you also need to have the autogenerated id from table a. Make notes as to where data types have changed and you may need to make adjustments or where you have required fileds where the data was not required before etc.
What I usually do is create staging tables. Put the data in the denormalized form in one staging table and then move to normalized staging tables and do the clean up there and add the new ids as soon as you have them to the staging tables. One thing you will need to do if you are moving from a denormalized database to a normalized one is that you will need to eliminate the duplicates from the parent tables before inserting them into the actual production tables. You may also need to do dataclean up as there may be required fileds in the new structure that were not required in the old or data converstion issues becasue of moving to better datatypes (for instance if you stored dates in the old database in varchar fields but properly move to datetime in the new db, you may have some records which don't have valid dates.
ANother issue you need to think about is how you will convert from the old record ids to the new ones.
This is not a an easy task, but it is doable if you take your time and work methodically. Now is not the time to try shortcuts.
What you need is an ETL (extract, transform, load) tool.
http://en.wikipedia.org/wiki/Extract,_transform,_load#Tools
I don't really know how far an 'ETL' tool will get you depending on the original and new database designs. In my career I've had to do more than a few data migrations and we usually always had to design a special utility which would update a fresh database with records from the old database, and yes we coded it complete with all the update/insert statements that would transform data.
I don't know how many tables your database has, but if they are not too many then you could consider going the grunt root. That's one technique that's guaranteed to work after all.
If you go to your database in SSMS and right-click, under tasks should be an option for "Import Data". You can try to use that. It's basically just a wizard that creates an SSIS package for you, which it can then either run for you automatically or which you can save and then alter as needed.
The big issue is how you need to transform the data. This goes into a lot of specifics which you don't include (and which are probably too numerous for you to include here anyway).
I'm certain that SSIS can handle whatever transformations you need to do to change it from the old format to the new. An alternative though would be to just import the tables into MS SQL as-is into staging tables, then use SQL code to transform the data into the 3NF tables. It's all a matter of what your most comfortable with. If you go the second route, then the import process that I mentioned above in SSMS could be used. It will even create the destination tables for you. Just be sure that you give them unique names, maybe prefixing them with "STG_" or something.
Davud mentioned linked servers. That's definitely another way that you can go (and got my upvote). Personally, I prefer to copy the tables over into MS SQL first since linked servers can sometimes have weirdness, especially when it comes to data types not mapping between different providers. Having the tables all in MS SQL will also probably be a bit faster and saves time if you have to rerun or correct portions of the data. As I said though, the linked server method would probably be fine too.
I have done this going the other direction and SSIS works fine, although I might have needed to use a script task to deal with slight data type weirdness. SSIS does ETL.