## Changes
The built-in template contains a reference to `${bundle.environment}`.
This property has been deprecated in favor of `${bundle.target}` a long
time ago (#670), so we should no longer emit it. The environment field
will continue to be usable until we cut a new major version in some far
away future.
## Tests
* Unit tests
* The test `TestInterpolationWithTarget` still covers correct
interpolation of `${bundle.environment}`
Change the default-python template to not set the `catalog` field for
the pipeline for workspaces that set `hive_metastore` as the default
catalog. The Pipelines service currently returns an error when that
value is used for the `catalog` field.
This is the most simple fix for this issue, which was reported by a
customer. As a followup, we should look at whether we want to prompt for
a catalog instead, possibly just for this specific scenario.
## Changes
Due to platform changes, all libraries, notebooks and etc. paths used in
Databricks must be started with either /Workspace or /Volumes prefix.
This PR makes sure that all bundle paths are correctly prefixed.
Note: this change is a breaking change if user previously configured and
used `/Workspace/Workspace` folder in their workspace file system or
having `/Workspace/${workspace.root_path}...` pattern configured
anywhere in their bundle config
Fixes: #1751
AI:
- [x] Scan DABs config and error out on
`/Workspace/${workspace.root_path}...` pattern usage
## Tests
Added unit tests
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
We want to encourage a pattern of only specifying a single resource in a
YAML file when an `.<resource-type>.yml` (like `.job.yml`) is used. This
convention could allow us to bijectively map a resource YAML file to
it's corresponding resource in the Databricks workspace.
This PR simply makes the built-in templates compliant to this format.
## Tests
Existing tests.
## Summary
Enables Unity Catalog for pipelines in the default template. Pipelines
will default to non-Unity Catalog pipelines if a catalog is not
specified.
*Small caveat*: there are cases where admins lock down the default
catalog of a workspace and don't allow the creation of a new schema
there. If that happens, the pipeline would fail at runtime with a clear
error indicating what happened. ("PERMISSION_DENIED: User does not have
CREATE SCHEMA on Catalog 'main'."). I've seen this with an internal
Databricks workspace, where creating new non-UC schemas wasn't locked
down, but creation in the `main` was.
## Testing
- Validated on a non-UC + UC workspace. The catalog selection logic here
is the same as applied for the SQL templates.
## Summary
Simplifies template by using the periodic trigger syntax instead of the
cron schedule syntax. Periodic triggers are simpler to configure,
simpler to read, and make sure that workloads are spread out through the
day. We only recommend cron syntax for advanced cases or when more
control is needed.
## Testing
* Templates validation via unit tests
* Manual validation that the new triggers work as expected in dev/prod
## Changes
This updates the templates to include a `permissions` section. Having a
permissions section is a best practice, is helpful to understand the
notion of permissions, and helps diagnose permission errors
(https://github.com/databricks/cli/pull/1386).
This is a cherry-pick from https://github.com/databricks/cli/pull/1387.
This change was verified to work both in dev and prod. Existing unit
tests validate the validity of the templates in these modes.
## Changes
Hello Team,
While tinkering with your solution, I've noticed that profiles provided
in dbt_project.yml and profiles.yml for generated dbt asset bundles. do
not align. This led to the following error, when deploying DAB:
```
+ dbt deps --target=dev
11:24:02 Running with dbt=1.8.2
11:24:02 Warning: No packages were found in packages.yml
11:24:02 Warning: No packages were found in packages.yml
+ dbt seed --target=dev --vars '{ dev_schema: mateusz_kijewski }'
11:24:05 Running with dbt=1.8.2
11:24:05 Encountered an error:
Runtime Error
Could not find profile named 'dbt_sql'
```
I have corrected profile name in profiles.yml.tmpl to the name used in
dbt_project.yml.tmpl. Using the opportunity of forking your repo, I've
also updated tests configuration in model config as starting of dbt v1.8
it's been raising warnings of configuration change from tests to
data_tests
```
11:31:34 [WARNING]: Deprecated functionality
The `tests` config has been renamed to `data_tests`. Please see
https://docs.getdbt.com/docs/build/data-tests#new-data_tests-syntax for more
information.
```
## Tests
<!-- How is this tested? -->
## Changes
This fixes a last-minute regression that snuck into
https://github.com/databricks/cli/pull/1463: unfortunately we need to
use `USE IDENTIFIER('schema')` to select a schema for now. In the future
we expect we can just use `USE SCHEMA 'schema'`.
## Changes
This makes the dbt-sql and default-sql templates public.
These templates were previously not listed and marked "experimental"
since structured streaming tables were still in gated preview and would
result in weird error messages when a workspace wasn't enabled for the
preview.
This PR also incorporates some of the feedback and learnings for these
templates so far.
## Changes
With the current template, we can't execute the Python file and the jobs
notebook using DBConnect from VSCode because we import `from pyspark.sql
import SparkSession`, which doesn't support Databricks unified auth.
This PR fixes this by passing spark into the library code and by
explicitly instantiating a spark session where the spark global is not
available.
Other changes:
* add auto-reload to notebooks
* add DLT typings for code completion
## Changes
This adds a `default-sql` template!
In this latest revision, I've hidden the new template from the list so
we can merge it, iterate over it, and properly release the template at
the right time.
- [x] WorkspaceFS support for .sql files is in prod
- [x] SQL extension is preconfigured based on extension settings (if
possible)
- [ ] Streaming tables support is either ungated or the template
provides instructions about signup
- _Mitigation for now: this template is hidden from the list of
templates._
- [x] Support non-UC workspaces
## Tests
- [x] Unit tests
- [x] Manual testing
- [x] More manual testing
- [x] Reviewer testing
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
Co-authored-by: PaulCornellDB <paul.cornell@databricks.com>
## Changes
This adds a new dbt-sql template. This work requires the new WorkspaceFS
support for dbt tasks.
In this latest revision, I've hidden the new template from the list so
we can merge it, iterate over it, and propertly release the template at
the right time.
Blockers:
- [x] WorkspaceFS support for dbt projects is in prod
- [x] Move dbt files into a subdirectory
- [ ] Wait until the next (>1.7.4) release of the dbt plugin which will
have major improvements!
- _Rather than wait, this template is hidden from the list of
templates._
- [x] SQL extension is preconfigured based on extension settings (if
possible)
- MV / streaming tables:
- [x] Add to template
- [x] Fix https://github.com/databricks/dbt-databricks/issues/535 (to be
released with in 1.7.4)
- [x] Merge https://github.com/databricks/dbt-databricks/pull/338 (to be
released with in 1.7.4)
- [ ] Fix "too many 503 errors" issue
(https://github.com/databricks/dbt-databricks/issues/570, internal
tracker: ES-1009215, ES-1014138)
- [x] Support ANSI mode in the template
- [ ] Streaming tables support is either ungated or the template
provides instructions about signup
- _Mitigation for now: this template is hidden from the list of
templates._
- [x] Support non-workspace-admin deployment
- [x] Make sure `data_security_mode: SINGLE_USER` works on non-UC
workspaces (it's required to be explicitly specified on UC workspaces
with single-node clusters)
- [x] Support non-UC workspaces
## Tests
- [x] Unit tests
- [x] Manual testing
- [x] More manual testing
- [ ] Reviewer manual testing
- _I'd like to do a small bug bash post-merging._
- [x] Unit tests
## Changes
This PR changes the default and `mode: production` recommendation to
target `/Users` for deployment. Previously, we used `/Shared`, but
because of a lack of POSIX-like permissions in WorkspaceFS this meant
that files inside would be readable and writable by other users in the
workspace.
Detailed change:
* `default-python` no longer uses a path that starts with `/Shared`
* `mode: production` no longer requires a path that starts with
`/Shared`
## Related PRs
Docs: https://github.com/databricks/docs/pull/14585
Examples: https://github.com/databricks/bundle-examples/pull/17
## Tests
* Manual tests
* Template unit tests (with an extra check to avoid /Shared)
## Changes
- Tweak strings, documentation in template
- Extend requirements-dev.txt with setuptools/wheel for building whl
files
- Clarify what the "_job.yml" file is for for users who are only
interested in DLT pipelines (answering a question that came up recently)
## Tests
Existing tests exercise this template
## Changes
DLT currently doesn't always set `$PYTHONPATH` correctly (ES-947370).
This restores the original workaround to make new pipelines work while
that issue is being addressed. The workaround was removed in #832.
Manually tested.
## Changes
Adds a welcome_message field to templates and the default python
template.
## Tests
Manually.
Here's the output logs during template init now:
```
shreyas.goenka@THW32HFW6T bricks % cli bundle init
Template to use [default-python]:
Welcome to the sample Databricks Asset Bundle template! Please enter the following information to initialize your sample DAB.
Unique name for this project [my_project]: abcde
Include a stub (sample) notebook in 'abcde/src': no
Include a stub (sample) Delta Live Tables pipeline in 'abcde/src': yes
Include a stub (sample) Python package in 'abcde/src': no
✨ Your new project has been created in the 'abcde' directory!
Please refer to the README.md of your project for further instructions on getting started.
Or read the documentation on Databricks Asset Bundles at https://docs.databricks.com/dev-tools/bundles/index.html.
```
Improve the output of help, prompts, and so on for `databricks bundle
init` and the default template.
Among other things, this PR adds support for a new `welcome_message`
property that lets a template print a custom message on success:
```
$ databricks bundle init
Template to use [default-python]:
Unique name for this project [my_project]: lennart_project
Include a stub (sample) notebook in 'lennart_project/src': yes
Include a stub (sample) Delta Live Tables pipeline in 'lennart_project/src': yes
Include a stub (sample) Python package in 'lennart_project/src': yes
✨ Your new project has been created in the 'lennart_project' directory!
Please refer to the README.md of your project for further instructions on getting started.
Or read the documentation on Databricks Asset Bundles at https://docs.databricks.com/dev-tools/bundles/index.html.
```
---------
Co-authored-by: shreyas-goenka <88374338+shreyas-goenka@users.noreply.github.com>
## Changes
This PR introduces support for regex pattern validation in our custom
jsonschema validator. This allows us to fail early if a user enters an
invalid value for a field.
For example, now this is what initializing the default template looks
like with an invalid project name:
```
shreyas.goenka@THW32HFW6T bricks % cli bundle init
Template to use [default-python]:
Unique name for this project [my_project]: (_*_)
Error: invalid value for project_name: (_*_). Must consist of letter and underscores only.
```
## Tests
New unit tests and manually.
## Changes
This fixes a typo that caused the notebook.ipynb file to show up even if
the user answered "no" to the question about including a notebook.
## Tests
We have matrix validation tests for all the yes/no combinations and
whether the build + validate. There is no current test for the absence
of files.
## Changes
This follows up on https://github.com/databricks/cli/pull/686. This PR
makes our stubs optional + it adds DLT stubs:
```
$ databricks bundle init
Template to use [default-python]: default-python
Unique name for this project [my_project]: my_project
Include a stub (sample) notebook in 'my_project/src' [yes]: yes
Include a stub (sample) DLT pipeline in 'my_project/src' [yes]: yes
Include a stub (sample) Python package 'my_project/src' [yes]: yes
✨ Successfully initialized template
```
## Tests
Manual testing, matrix tests.
---------
Co-authored-by: Andrew Nester <andrew.nester@databricks.com>
Co-authored-by: PaulCornellDB <paul.cornell@databricks.com>
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
This adds a built-in "default-python" template to the CLI. This is based
on the new default-template support of
https://github.com/databricks/cli/pull/685.
The goal here is to offer an experience where customers can simply type
`databricks bundle init` to get a default template:
```
$ databricks bundle init
Template to use [default-python]: default-python
Unique name for this project [my_project]: my_project
✨ Successfully initialized template
```
The present template:
- [x] Works well with VS Code
- [x] Works well with the workspace
- [x] Works well with DB Connect
- [x] Uses minimal stubs rather than boiler-plate-heavy examples
I'll have a followup with tests + DLT support.
---------
Co-authored-by: Andrew Nester <andrew.nester@databricks.com>
Co-authored-by: PaulCornellDB <paul.cornell@databricks.com>
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
This pull request extends the templating support in preparation of a
new, default template (WIP, https://github.com/databricks/cli/pull/686):
* builtin templates that can be initialized using e.g. `databricks
bundle init default-python`
* builtin templates are embedded into the executable using go's `embed`
functionality, making sure they're co-versioned with the CLI
* new helpers to get the workspace name, current user name, etc. help
craft a complete template
* (not enabled yet) when the user types `databricks bundle init` they
can interactively select the `default-python` template
And makes two tangentially related changes:
* IsServicePrincipal now uses the "users" API rather than the
"principals" API, since the latter is too slow for our purposes.
* mode: prod no longer requires the 'target.prod.git' setting. It's hard
to set that from a template. (Pieter is planning an overhaul of warnings
support; this would be one of the first warnings we show.)
The actual `default-python` template is maintained in a separate PR:
https://github.com/databricks/cli/pull/686
## Tests
Unit tests, manual testing
Pieter Noordhuis
Lennart Kats (databricks)
Andrew Nester
shreyas-goenka
kijewskimateusz
Fabian Jakobs