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1. Make SQL Data Easier to Merge (Static Data)

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   37 comments  ·  SQL Source Control » Static Data  ·  Delete…  ·  Admin →
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   under review  ·  Kendra responded

   Thanks for this suggestion and for the many comments and upvotes. I realize that this is a pain point.

   I have a few shorter-term workarounds to summarize as well as some information on the longer roadmap in this update. I know these shorter-term workarounds aren’t perfect (I summarize the pros and cons), but I’m posting them as they may help a few folks.

   Workaround 1) When data changes to static data need to be made, use a “relink the table” pattern
   One can “cleanly rescript” a static data table in SQL Source Control by:

   • Unlinking the static data table
   • Committing
   • Relinking the static data table
   • Committing

   Pro: This works with the GUI and requires no special knowledge or comfort with TSQL. This may help folks with just a few static data tables.
   Con: This requires extra steps and results in extra commits in the history, which I realize can be annoying, particularly if the team doesn’t squash commit history when merging or do similar things.

   Workaround 2) Use a post-deployment script to manage static data tables instead of linking them
   Another option is to not use the “link static data tables” feature at all, and instead manage the static data table yourself with a custom script.

   I’ve added a code sample called “post-deployment script to manage static data for a table with an identity column” into our reference on post-deployment scripts: https://documentation.red-gate.com/soc7/common-tasks/working-with-pre-post-deployment-scripts/static-data

   Pro: This gives you complete control over the TSQL.

   Con: Your post-deployment script might become quite complex and create its own issue in merge conflicts, depending on how many static data tables you have and whether you are using the post-deployment script for other things.

   An alternate approach using SQL Change Automation
   If customers have licenses for SQL Change Automation, the SCA Migrations approach does not have this issue and has additional features for flexibility with static data:

   • Since migrations only script out the data which has changed, this scripting issue of the entire table doesn’t occur in SCA – it only ever needs to generate commands for what has been modified since the last migration
   • Supports column filtered static data tables in the SCA plugin in SSMS
   • Supports multiple post-deployment scripts, in case there is a preference to manage static data tables in dedicated post-deployment scripts
   • Allows approaches like bulk loading larger static data tables by supporting SQLCMD variables in migration and post-deployment scripts

   If there are other use cases where a migrations approach would add value to the team – such as easily being able to run data modification statements as part of deployments, or being able to customize the TSQL for schema changes – then changing from SQL Source Control to SQL Change Automation might make sense.

   Roadmap
   I’ve chatted with our engineering teams and Redgate does have the desire to better support this scenario longer term. This is not a “quick fix” scenario and will likely require a rethinking of the way static data is managed within the tool.

   While the “rethinking” bit of this has begun, we don’t specifically have this on the SQL Source Control roadmap (https://www.red-gate.com/products/sql-development/sql-source-control/roadmap) at this point. We do have improved support for use with Git feature branches as a future candidate on the roadmap, and we do know from research with many customers that static data is quite important to folks. While I can’t make any promises, I think we are likely to be able to offer an improvement in this area.

   Thanks for this suggestion and for the many comments and upvotes. I realize that this is a pain point.

   I have a few shorter-term workarounds to summarize as well as some information on the longer roadmap in this update. I know these shorter-term workarounds aren’t perfect (I summarize the pros and cons), but I’m posting them as they may help a few folks.

   Workaround 1) When data changes to static data need to be made, use a “relink the table” pattern
   One can “cleanly rescript” a static data table in SQL Source Control by:

   • Unlinking the static data table
   • Committing
   • Relinking the static data table
   • Committing

   Pro: This works with the GUI and requires no special knowledge or comfort with TSQL. This may help folks with just a few static data tables.
   Con: This requires extra steps and results in extra commits in the history, which I realize can… more

   Anonymous supported this idea  ·  May 14, 2019

2. Ability to run Code Analysis against whole DB

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   3 comments  ·  SQL Prompt » Code Analysis  ·  Delete…  ·  Admin →
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   Anonymous supported this idea  ·  Apr 30, 2019
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   Anonymous commented  ·  Apr 30, 2019  ·  Edit…  ·  Delete…

   I totally agree with this. There doesn't seem to be any way of doing this with the new SQL Prompt analysis. Even the code analysis in SQL Change Automation, while welcome, only seems to analyse the changed objects so it's no use for finding issues in a legacy database

   Save Submitting...

3. SQL Source Control Static Views (or Table Subsets using WHERE clause)

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   30 comments  ·  SQL Source Control » Static Data  ·  Delete…  ·  Admin →
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   under review  ·  Kendra responded

   Hi everyone. I have merged some User Voice items on this topic of “filtered” static data, as there was significant overlap. I want to share our current guidance on handling scenarios where you need to version a subset of the columns and/or rows in the table.

   With SQL Source control, the best option at this point is to use a post-deployment script for this purpose.

   SQL Source Control introduced pre- and post- scripts in v6.3.

   A post-deployment script gives you a good amount of flexibility over exactly which rows or columns of data you want to include in your project. Example post-deployment scripts for static data are here: https://documentation.red-gate.com/soc7/common-tasks/working-with-pre-post-deployment-scripts/static-data

   If you make heavy use of Static Data, we have stronger support for this in SQL Change Automation.

   SQL Change Automation:

   • Supports column filtered static data tables in the SCA plugin in SSMS
   • Supports multiple post-deployment scripts, in case there is a preference to manage static data tables in dedicated post-deployment scripts
   • Allows approaches like bulk loading larger static data tables by supporting SQLCMD variables in migration and post-deployment scripts

   If there are other use cases where a migrations approach would add value to the team – such as easily being able to run data modification statements as part of deployments, or being able to customize the TSQL for schema changes – then changing from SQL Source Control to SQL Change Automation might make sense.

   Hi everyone. I have merged some User Voice items on this topic of “filtered” static data, as there was significant overlap. I want to share our current guidance on handling scenarios where you need to version a subset of the columns and/or rows in the table.

   With SQL Source control, the best option at this point is to use a post-deployment script for this purpose.

   SQL Source Control introduced pre- and post- scripts in v6.3.

   A post-deployment script gives you a good amount of flexibility over exactly which rows or columns of data you want to include in your project. Example post-deployment scripts for static data are here: https://documentation.red-gate.com/soc7/common-tasks/working-with-pre-post-deployment-scripts/static-data

   If you make heavy use of Static Data, we have stronger support for this in SQL Change Automation.

   SQL Change Automation:

   • Supports column filtered static data tables in the SCA plugin in SSMS
   • Supports multiple post-deployment scripts, in case there is… more
   Anonymous supported this idea  ·  May 18, 2018