When using Liquibase, is there any way to use existing data to generate some of the data that is to be inserted?
For example, say I'd want to update a row with id 5, but I don't know up front that the id will be 5, as this is linked to another table where I will actually be getting the id from. Is there any way for me to tell Liquibase to get the id from SELECT query?
I'm guessing this isn't really possible as I get the feeling Liquibase is really designed for a very structured non-dynamic approach, but it doesn't hurt to ask.
Thanks.
You cannot use the built-in changes to insert data based on existing data, but you can use the tag with insert statements with nested selects.
For example:
<changeSet>
<sql>insert into person (name, manager_id) values ('Fred', (select id from person where name='Ted'))</sql>
</changeSet>
Note: the SQL (and support for insert+select) depends on database vendor.
It is possible write your own custom refactoring class to generate SQL. The functionality is designed to support the generation of static SQL based on the changeset's parameters.
So.. it's feasible to obtain a connection to the database, but the health warning attached to this approach is that the generated SQL is dynamic (your data could change) and tied tightly to your database instance.
An example of problems this will cause is an inability to generate a SQL upgrade script for a DBA to run against a production database.
I've been thinking about this use-case for some time. I still don't know if liquibase is the best solution for this data management problem or whether it needs to be combined with an additional tool like dbunit.
Related
I use SQLDelight's MySQL dialect on my server. Recently I plan to migrate a table to combine many fields into a JSON field so the server code no longer needs to know the complex data structure. As part of the migration, I need to do something like this during runtime - when the sever sees a client with the new version, it knows the client won't access the old table anymore, so it's safe to migrate the record to new table.
INSERT OR IGNORE INTO new_table SELECT id, a, b, JSON_OBJECT('c', c, 'd', JSON_OBJECT(…)) FROM old_table WHERE id = ?;
The only problem is - Unlike the SQLite dialect, the MySQL dialect doesn't recognize JSON_OBJECT or other JSON expressions, even though in this case it doesn't have to - no matter how complex the query is, the result is not passed back to Kotlin.
I wish I could add the feature by myself, but I'm pretty new to Kotlin. So my question is: is there a way to evade the rigid syntax check? I could also retrieve from old table, convert the format in Kotlin, then write to the new table, but that would take hundreds of lines of complex code, instead of just one INSERT.
I assume from your links you're on the alpha releases already, in alpha03 you can add currently unsupported behaviour by creating a local SQLDelight module (see this example) and adding the JSON_OBJECT to the functionType override. Also new function types are one of the easiest things to contribute up to SQLDelight so if you want it in the next release
For the record I ended up using CONCAT with COALESCE as a quick and dirty hack to scrape the fields together as JSON.
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.
In MySQL I have a single database with one schema. In Microsoft Sql Server it is recommended to use a "Tenant View Filter" so in Microsoft Sql Server this gives me exactly what I need.
CREATE VIEW TenantEmployees AS
SELECT * FROM Employees WHERE TenantID = SUSER_SID()
What is the best way to accomplish the same in MySQL? An equivalent to the "Tenant View Filter" will work if it is performs well.
Thanks!!
The query you suggest (that I could find in MSDN) has text afterwards that explains exactly what are its assumptions. In particular, it mentions that it assumes that the "owner" of a row in the Employees table is specified in the TenantID field that is populated according to the SID of the user(s) you are partitioning for.
What that means is that you can replicate the same idea whatever way you decide to implement your data as long as you have clearly defined partitions of the data and know exactly how to associate it with the table you are creating a view for.
In particular, if you configure your system so that each partition accesses the DB with its own credentials, you could use the CURRENT_USER or USER constructs of MySQL as the IDs defining your partitions and the query to create the view would be basically the same as the one suggested in MSDN replacing SUSER_ID with CURRENT_USER.
But if you use the same user to access from all the partitions, then the suggested method is irrelevant on either database server.
Since you need to use your tenantId value to perform filtering, a table valued user defined function would be ideal, as a view normally does not accept parameters. Unfortunately, unlike many other database products MySQL doesn't support table-valued functions. However, there are MySQL hacks that claim to emulate parametrized views. These could be useful for you.
It's a little tricky in MySQL, but it can be done:
CREATE OR REPLACE VIEW {viewName}
AS
SELECT {fieldListWithoutTenantID}
FROM {tableName}
WHERE (id_tenant = SUBSTRING_INDEX(USER( ),'#',1))
I wrote up a full blog post on how I converted a single-tenant MySQL application to multi-tenant in one weekend with minimal changes. https://opensource.io/it/mysql-multi-tenant/
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.
I'm trying to use a simple mysql database but tweak it so that every field is backed up up to an indefinite number of versions. The best way I can illustrate this is by replacing each and every field of every table with a stack of all the values this field has ever had (each of these values should be timestamped). I guess it's kind of like having customized version control for all my data..
Any ideas on how to do this?
The usual method for "tracking any changes" to a table is to add insert/update/delete trigger procedures on the table and have those records saved in a history table.
For example, if your main data table is "ItemInfo" then you would also have an ItemInfo_History table that got a copy of the new record every time anything changed (via the triggers).
This keeps the performance of your primary table consistent, yet gives you access to the history of any changes if you need it.
Here are some examples, they are for SQL Server but they demonstrate the logic:
My Repository table
My Repository History table
My Repository Insert trigger procedure
My Repository Update trigger procedure
Hmm, what you're talking about sounds similar to Slowly Changing Dimension.
Be aware that version control on arbitrary database structures is officially a rather Hard Problem. :-)
A simple solution would be to add a version/revision field to the tables, and whenever a record is updated, instead of updating it in place, insert a copy with the changes applied and the version number incremented. Then when selecting, always choose the record with the latest version. That's roughly how most such schemes are implemented (e.g. Wikimedia does it pretty much this exact way).
Maybe a tool can help you to do that for you. Have a look at nextep designer :
https://github.com/christophefondacci/nextep-designer
With this IDE you will be able to take snapshots of your database structure and data and put it under version control. After this you can compute the differences between any 2 versions and generate the appropriate SQL that can insert / update / delete your data.
Maybe this is an alternative way to achieve what you wanted.