Is there any way we can connect snowflake with GIT for version control. With the help of that, we can maintain version of our merge statement and any other sql script in GIT.
Yes! One way to do this is to store your Snowflake SQL
code in a file/files with the sql
extension (i.e. filename.sql
). You can add those files to a GIT
repo and track them in the repo accordingly.
There is now a VSCode extension for Snowflake. I'm able to connect vscode to our repo (Azure DevOps in my case) and Snowflake. It's got some nice features too like being able to easily cycle through past queries (including query results) and gives the same level of detail (or more) than the Snowflake UI.
The extension is called Snowflake - from Snowflake.
DBeaver
has git integration and is the best solution my team has found for version control with Snowflake. It's not perfect but it allows you to run your scripts against Snowflake and then push your SQL code to a git repository through the app UI or command line.
Other answers help with using an IDE as a go-between for git and Snowflake. These projects could be useful also:
https://medium.com/snowflake/snowflake-vs-code-sql-tools-and-github-7eab915e10cb
- use VSCode as the IDE with a useful snowflake extension
https://github.com/Snowflake-Labs/schemachange
- manage schema changes as script in git, deploy them with CI/CD
https://github.com/Snowflake-Labs/sfsnowsightextensions#get-sfworksheets
- the missing feature of SnowSight -- export worksheets
Snowflake has in public preview a git integration. You can find the information in their documentation: https://docs.snowflake.com/en/developer-guide/git/git-setting-up I hope this helps.
Yes! One way to do this is to store your Snowflake SQL
code in a file/files with the sql
extension (i.e. filename.sql
). You can add those files to a GIT
repo and track them in the repo accordingly.
This is an age old question when dealing with databases and how one should go about versioning them. Unfortunately, no database really integrates directly into any VCS that I'm aware of.
My team has settled on using dbt. This essentially turns the database into a series of text files that are easily integrated with git. The short of it is that you edit your models as local text files, and then use dbt run
to put these models into Snowflake itself. This is kind of nice as you can configure separate environments such as dev and prod.
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