## Changes
Some library paths such as for Spark jobs, can reference a lib on remote
path, for example DBFS.
This PR fixes how CLI handles such libraries and do not report them as
missing locally.
## Tests
Added unit tests + ran `databricks bundle deploy` manually
## Changes
This PR:
1. Regenerates the terraform provider structs based off the latest
terraform provider version: 1.22.0
2. Adds a debug launch configuration for regenerating the schema
## Tests
Existing unit tests
## Changes
* This PR adds `DATABRICKS_BUNDLE_INCLUDE_PATHS` environment variable,
so that we can specify including bundle config files, which we do not
want to commit. These could potentially be local dev overrides or
overrides by our tools - like the VS Code extension
* We always add these include paths to the "include" field.
## Tests
* [x] Unit tests
## Changes
This PR:
1. Adds code for reading template configs and validating them against a
JSON schema.
2. Moves the json schema struct in `bundle/schema` to a separate library
package. This struct is now reused for validating template configs.
## Tests
Unit tests
## Changes
This checks whether the Git settings are consistent with the actual Git
state of a source directory.
(This PR adds to https://github.com/databricks/cli/pull/577.)
Previously, we would silently let users configure their Git branch to
e.g. `main` and deploy with that metadata even if they were actually on
a different branch.
With these changes, the following config would result in an error when
deployed from any other branch than `main`:
```
bundle:
name: example
workspace:
git:
branch: main
environments:
...
```
> not on the right Git branch:
> expected according to configuration: main
> actual: my-feature-branch
It's not very useful to set the same branch for all environments,
though. For development, it's better to just let the CLI auto-detect the
right branch. Therefore, it's now possible to set the branch just for a
single environment:
```
bundle:
name: example 2
environments:
development:
default: true
production:
# production can only be deployed from the 'main' branch
git:
branch: main
```
Adding to that, the `mode: production` option actually checks that users
explicitly set the Git branch as seen above. Setting that branch helps
avoid mistakes, where someone accidentally deploys to production from
the wrong branch. (I could see us offering an escape hatch for that in
the future.)
# Testing
Manual testing to validate the experience and error messages. Automated
unit tests.
---------
Co-authored-by: Fabian Jakobs <fabian.jakobs@databricks.com>
## Changes
This adds `mode: production` option. This mode doesn't do any
transformations but verifies that an environment is configured correctly
for production:
```
environments:
prod:
mode: production
# paths should not be scoped to a user (unless a service principal is used)
root_path: /Shared/non_user_path/...
# run_as and permissions should be set at the resource level (or at the top level when that is implemented)
run_as:
user_name: Alice
permissions:
- level: CAN_MANAGE
user_name: Alice
```
Additionally, this extends the existing `mode: development` option,
* now prefixing deployed assets with `[dev your.user]` instead of just
`[dev`]
* validating that development deployments _are_ scoped to a user
## Related
https://github.com/databricks/cli/pull/578/files (in draft)
## Tests
Manual testing to validate the experience, error messages, and
functionality with all resource types. Automated unit tests.
---------
Co-authored-by: Fabian Jakobs <fabian.jakobs@databricks.com>
## Changes
Added support for artifacts building for bundles.
Now it allows to specify `artifacts` block in bundle.yml and define a
resource (at the moment Python wheel) to be build and uploaded during
`bundle deploy`
Built artifact will be automatically attached to corresponding job task
or pipeline where it's used as a library
Follow-ups:
1. If artifact is used in job or pipeline, but not found in the config,
try to infer and build it anyway
2. If build command is not provided for Python wheel artifact, infer it
## Changes
Before this PR we would load all yaml files matching * and \*/\*.yml
files as bundle configurations. This was problematic since this would
also load yaml files that were not meant to be a part of the bundle
## Tests
Manually, now files are no longer included unless manually specified
## Changes
* Add support for using `databricks.yml` as config file. If
`databricks.yml` is not found then falling back to `bundle.yml` for
backwards compatibility.
* Add support for `.yaml` extension.
* Give an error when more than one config file is found
## Tests
* added unit test
* manual testing the different cases
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
Uploading a notebook strips it's file extension. This PR returns an
error if a notebook is specified where a file is expected. For example:
A spark python task in a job or `libraries.file.path` DLT library (where
instead `libraries.notebook.path` should be used
This PR also adds test coverage for the opposite case, when files are
not notebooks where notebooks are expected.
## Tests
Integration tests and manually
## Changes
Correctly use --profile flag passed for all bundle commands.
Also adds a validation that if bundle configured host mismatches
provided profile, it throws an error.
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
This implements the "development run" functionality that we desire for DABs in the workspace / IDE.
## bundle.yml changes
In bundle.yml, there should be a "dev" environment that is marked as
`mode: debug`:
```
environments:
dev:
default: true
mode: development # future accepted values might include pull_request, production
```
Setting `mode` to `development` indicates that this environment is used
just for running things for development. This results in several changes
to deployed assets:
* All assets will get '[dev]' in their name and will get a 'dev' tag
* All assets will be hidden from the list of assets (future work; e.g.
for jobs we would have a special job_type that hides it from the list)
* All deployed assets will be ephemeral (future work, we need some form
of garbage collection)
* Pipelines will be marked as 'development: true'
* Jobs can run on development compute through the `--compute` parameter
in the CLI
* Jobs get their schedule / triggers paused
* Jobs get concurrent runs (it's really annoying if your runs get
skipped because the last run was still in progress)
Other accepted values for `mode` are `default` (which does nothing) and
`pull-request` (which is reserved for future use).
## CLI changes
To run a single job called "shark_sighting" on existing compute, use the
following commands:
```
$ databricks bundle deploy --compute 0617-201942-9yd9g8ix
$ databricks bundle run shark_sighting
```
which would deploy and run a job called "[dev] shark_sightings" on the
compute provided. Note that `--compute` is not accepted in production
environments, so we show an error if `mode: development` is not used.
The `run --deploy` command offers a convenient shorthand for the common
combination of deploying & running:
```
$ export DATABRICKS_COMPUTE=0617-201942-9yd9g8ix
$ bundle run --deploy shark_sightings
```
The `--deploy` addition isn't really essential and I welcome feedback 🤔
I played with the idea of a "debug" or "dev" command but that seemed to
only make the option space even broader for users. The above could work
well with an IDE or workspace that automatically sets the target
compute.
One more thing I added is`run --no-wait` can now be used to run
something without waiting for it to be completed (useful for IDE-like
environments that can display progress themselves).
```
$ bundle run --deploy shark_sightings --no-wait
```
## Tests
Tested manually. `"workspace"` is no longer a required field in the
generated JSON schema
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
Propagate `TF_CLI_CONFIG_FILE` env variable.
From Terraform documentation:
> The location of the Terraform CLI configuration file can also be
specified using the TF_CLI_CONFIG_FILE [environment
variable](https://developer.hashicorp.com/terraform/cli/config/environment-variables)
It allows using custom builds of terraform-provider-databricks, using
config files like:
```tf
provider_installation {
dev_overrides {
"databricks/databricks" = "/Users/gleb.kanterov/terraform-provider-databricks"
}
direct {}
}
```
## Tests
I added unit tests.
## Changes
Fixed error reporting when included invalid files in include section
Case 1. When the file to include is invalid, throw an error
Case 2. When the file is loaded but the schema is wrong, indicate which
file is failed to load
## Tests
With non-existent notexists.yml
```
databricks bundle deploy
Error: notexists.yml defined in 'include' section does not match any files
```
With malformed notexists.yml
```
databricks bundle deploy
Error: failed to load /Users/andrew.nester/dabs/wheel/notexists.yml: error unmarshaling JSON: json: cannot unmarshal string into Go value of type config.Root
```
## Changes
Adds the following steps to the destroy phase:
1. interpolate
2. write
Resolves#518
## Tests
Tested manually due there not being an examples for tests to use.
## Changes
Modified interpolation logic to use:
`\$\{([a-zA-Z]+([-_]*[a-zA-Z0-9]+)*(\.[a-zA-Z]+([-_]*[a-zA-Z0-9]+)*)*)\}`
**Edit**: Suggested by @pietern
`\$\{([a-zA-Z]+([-_]?[a-zA-Z0-9]+)*(\.[a-zA-Z]+([-_]?[a-zA-Z0-9]+)*)*)\}`
to be more selective and not allow consequent hyphens or underscores to
make the keys more readable.
Explanation:
1. All interpolation starts with `${` and ends with `}`
2. All interpolated locations are split by by `.`
3. All sections are expected to start with a alphabet `[a-zA-Z]`; no
numbers, hyphens or underscores.
4. All sections are expected to end with an alphanumeric `[a-zA-Z0-9]`
no hyphens or underscores
This change allows the current interpolation to be more permissive.
**Note** it does break backwards compatibility because `[a-zA-Z] !=
[\w]`. `\w` includes alphanumeric and underscores. `\w = [a-zA-Z0-9_]`
## Tests
There are two tests with examples of valid and invalid interpolation and
a test to validate expansion.
## Changes
Add DATABRICKS_BUNDLE_TMP env variable. It allows using a temporary
directory instead of writing to `$CWD/.databricks/bundle`
## Tests
I added unit tests
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
Added skipping of translating paths for notebook path in notebook tasks
and python file path in spark python tasks if the git source is not null.
Resolves: #402
## Tests
There is a unit test and also tested with a sample bundle:
```
resources:
jobs:
demo:
git_source:
git_branch: master
git_provider: github
git_url: https://github.com/test/dummy
....
```
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
The pattern `errors.Is(err, fs.ErrNotExist)` is common to check for an
error type.
Errors can implement `Is(error) bool` with a custom equivalence checker.
## Tests
New asserts all pass in the integration test.
## Changes
On Unix systems, the default of `/tmp` always works. No need to
synthesize a path for it.
The custom TMPDIR was causing issues when used from GitHub Actions
runners.
## Tests
Confirmed manually this fixes the issue on GitHub Actions runners.
## Changes
Added support for `bundle.Seq`, simplified `Mutator.Apply` interface by
removing list of mutators from return values/
## Tests
1. Ran `cli bundle deploy` and interrupted it with Cmd + C mid execution
so lock is not released
2. Ran `cli bundle deploy` top make sure that CLI is not trying to
release lock when it fail to acquire it
```
andrew.nester@HFW9Y94129 multiples-tasks % cli bundle deploy
Starting upload of bundle files
Uploaded bundle files at /Users/andrew.nester@databricks.com/.bundle/simple-task/development/files!
^C
andrew.nester@HFW9Y94129 multiples-tasks % cli bundle deploy
Error: deploy lock acquired by andrew.nester@databricks.com at 2023-05-24 12:10:23.050343 +0200 CEST. Use --force to override
```
## Changes
Regenerated internal schema structs based on Terraform provider schemas
Allows to use `serverless` flag in bundle config.
## Tests
Ran `cli bundle deploy` with bundle which contains pipeline with
serverless key true
## Changes
Passes through tmp dir related env vars to the terraform process. Incase
any of them are not set, we assign temp dir inside bundle cache dir as
the location terraform should use.
## Tests
Manually checked that these env vars do override location where
os.CreateTemp files are created
## Changes
Rename all instances of "bricks" to "databricks".
## Tests
* Confirmed the goreleaser build works, uses the correct new binary
name, and produces the right archives.
* Help output is confirmed to be correct.
* Output of `git grep -w bricks` is minimal with a couple changes
remaining for after the repository rename.
## Changes
Added `DeferredMutator` and `bundle.Defer` function which allows to
always execute some mutators either in the end of execution chain or
after error occurs in the middle of execution chain.
Usage as follows:
```
deferredMutator := bundle.Defer([]bundle.Mutator{
lock.Acquire()
transform.DoSomething(),
//...
}, []bundle.Mutator{
lock.Release(),
})
```
In such case `lock.Release()` will always be executed: either when all
operations above succeed or when any of them fails
## Tests
Before the change
```
andrew.nester@HFW9Y94129 multiples-tasks % bricks bundle deploy
Starting upload of bundle files
Uploaded bundle files at /Users/andrew.nester@databricks.com/.bundle/simple-task/development/files!
Error: terraform not initialized
andrew.nester@HFW9Y94129 multiples-tasks % bricks bundle deploy
Error: deploy lock acquired by andrew.nester@databricks.com at 2023-05-10 16:41:22.902659 +0200 CEST. Use --force to override
```
After the change
```
andrew.nester@HFW9Y94129 multiples-tasks % bricks bundle deploy
Starting upload of bundle files
Uploaded bundle files at /Users/andrew.nester@databricks.com/.bundle/simple-task/development/files!
Error: terraform not initialized
andrew.nester@HFW9Y94129 multiples-tasks % bricks bundle deploy
Starting upload of bundle files
Uploaded bundle files at /Users/andrew.nester@databricks.com/.bundle/simple-task/development/files!
Error: terraform not initialized
```
## Changes
When local state file exists it won't be override by remote state file
## Tests
Running `bricks bundle deploy` after state push failed does not override
local state file
Use cases verified:
1. Local state file is newer than remote
2. Local state file is older than remote
3. Local state file does not exist
4. Local state file corrupted
## Changes
Allows to override default value for a variable definition from the
environment block in a bundle config. See bundle.yml for example usage
## Tests
Unit tests
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
This PR now allows you to define variables in the bundle config and set
them in three ways
1. command line args
2. process environment variable
3. in the bundle config itself
## Tests
manually, unit, and black box tests
---------
Co-authored-by: Miles Yucht <miles@databricks.com>
## Changes
Improved error message when 'bricks bundle run' is executed before
'bricks bundle deploy'
The error happens when we attempt to load terraform state when it does
not exist.
The best way to check if terraform state actually exists is to call
`terraform show -json` and that's what already happens here
https://github.com/databricks/bricks/compare/main...error-before-deploy#diff-8c50f8c04e568397bc865b7e02d1f4ec5b18379d8d32daddfeb041035d804f5fL28
Absence of `state.Values` indicates that there is no state and likely
bundle was just never deployed.
## Tests
Ran `bricks bundle run test_job` on a new non-deployed bundle.
**Output:**
`Error: terraform show: No state. Did you forget to run 'bricks bundle
deploy'?`
Running `bricks bundle deploy && bricks bundle run test_job` succeeds.
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
Andrew Nester
shreyas-goenka
Kartik Gupta
Lennart Kats (databricks)
Fabian Jakobs
dependabot[bot]
Pieter Noordhuis
Gleb Kanterov
stikkireddy
Serge Smertin
Fabian Jakobs