## Description
This PR adds the spotless formatter and validator for the JSON files
present in the project. If there is any invalid JSON file, the formatter
fails and logs the file and the error LOC to be fixed.
Since Spotless is already added to the pre-commit hook it also makes it
necessary to fix the JSON and then commit the changes.
Screenshot of the errors displayed for Invalid JSONs

### Why is this Important?
All of our datasource forms appear on the UI from the JSON configuration
files in the plugins. If an Invalid JSON is added, it can break the
datasource usage experience for the users.
One such instance happened in the past, where due to a JSON formatting
error, the users could not use Smart Substitution feature on production.
[Reference](https://theappsmith.slack.com/archives/C040LHZN03V/p1721124893238579)
Fixes#34969
## Automation
/ok-to-test tags="@tag.Sanity"
### 🔍 Cypress test results
<!-- This is an auto-generated comment: Cypress test results -->
> [!TIP]
> 🟢🟢🟢 All cypress tests have passed! 🎉🎉🎉
> Workflow run:
<https://github.com/appsmithorg/appsmith/actions/runs/10243164292>
> Commit: 08bc87acd2e44c4a2677d3eed1bad002f991050a
> <a
href="https://internal.appsmith.com/app/cypress-dashboard/rundetails-65890b3c81d7400d08fa9ee5?branch=master&workflowId=10243164292&attempt=1"
target="_blank">Cypress dashboard</a>.
> Tags: `@tag.Sanity`
> Spec:
> <hr>Mon, 05 Aug 2024 05:50:07 UTC
<!-- end of auto-generated comment: Cypress test results -->
## Communication
Should the DevRel and Marketing teams inform users about this change?
- [ ] Yes
- [ ] No
This is to abide by the Databricks standard practice which expects the
user agent tag to be set automatically and shouldnt be configurable by
end user (in this case developers creating datasources on top of
Databricks). The user agent tag would be set to Appsmith.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Added the ability to set a user agent tag for Databricks connections,
with "Appsmith" as the default value.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Enhancements**
- Improved execution logic in the Databricks integration to handle query
results more efficiently.
- Enhanced response construction for better clarity and performance when
retrieving data.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Bug Fixes**
- Improved error handling in the database connection process by
identifying and throwing an exception for stale connections.
- Enhanced error messages to include specific SQL states for better
troubleshooting.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Introduced a Databricks plugin for executing queries and managing
database connections.
- Added a migration to incorporate the Databricks plugin into existing
workspaces.
- **Bug Fixes**
- Ensured robust error handling in the Databricks plugin with clear
messaging for query execution failures.
- **Tests**
- Implemented tests to validate the behavior of the Databricks plugin
under various connection scenarios.
- **Documentation**
- Included configuration properties for the Databricks plugin setup.
- **Refactor**
- Added specific error types and messages for the Databricks plugin to
improve debugging and user feedback.
- **Chores**
- Modified the Java runtime environment settings to support the new
plugin's requirements.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Arpit Mohan <arpit@appsmith.com>