## Changes
The installer doesn't respect the version constraints if they are
specified.
Source: [the vc argument is not
used](850464c601/releases/latest_version.go (L158-L177)).
## Tests
Confirmed manually.
## Changes
The provider at version 1.24.0 includes a regression for the MLflow
model resource.
To fix this, we explicitly pin the provider version at the version we
generate bindings for.
## Tests
Confirmed that a deploy of said MLflow model resource works with 1.23.0.
## Changes
***Note: this PR relies on sync.include functionality from here:
https://github.com/databricks/cli/pull/671***
Added transformation mutator for Python wheel task for them to work on
DBR <13.1
Using wheels upload to Workspace file system as cluster libraries is not
supported in DBR < 13.1
In order to make Python wheel work correctly on DBR < 13.1 we do the
following:
1. Build and upload python wheel as usual
2. Transform python wheel task into special notebook task which does the
following
a. Installs all necessary wheels with %pip magic
b. Executes defined entry point with all provided parameters
3. Upload this notebook file to workspace file system
4. Deploy transformed job task
This is also beneficial for executing on existing clusters because this
notebook always reinstall wheels so if there are any changes to the
wheel package, they are correctly picked up
## Tests
bundle.yml
```yaml
bundle:
name: wheel-task
workspace:
host: ****
resources:
jobs:
test_job:
name: "[${bundle.environment}] My Wheel Job"
tasks:
- task_key: TestTask
existing_cluster_id: "***"
python_wheel_task:
package_name: "my_test_code"
entry_point: "run"
parameters: ["first argument","first value","second argument","second value"]
libraries:
- whl: ./dist/*.whl
```
Output
```
andrew.nester@HFW9Y94129 wheel % databricks bundle run test_job
Run URL: ***
2023-08-03 15:58:04 "[default] My Wheel Job" TERMINATED SUCCESS
Output:
=======
Task TestTask:
Hello from my func
Got arguments v1:
['python', 'first argument', 'first value', 'second argument', 'second value']
```
## Changes
Now if the user reference local Python wheel files and do not specify
"artifacts" section, this file will be automatically uploaded by CLI.
Fixes#693
## Tests
Added unit tests
Ran bundle deploy for this configuration
```
resources:
jobs:
some_other_job:
name: "[${bundle.environment}] My Wheel Job"
tasks:
- task_key: TestTask
existing_cluster_id: ${var.job_existing_cluster}
python_wheel_task:
package_name: "my_test_code"
entry_point: "run"
libraries:
- whl: ./dist/*.whl
```
Result
```
andrew.nester@HFW9Y94129 wheel % databricks bundle deploy
artifacts.whl.AutoDetect: Detecting Python wheel project...
artifacts.whl.AutoDetect: No Python wheel project found at bundle root folder
Starting upload of bundle files
Uploaded bundle files at /Users/andrew.nester@databricks.com/.bundle/wheel-task/default/files!
artifacts.Upload(my_test_code-0.0.1-py3-none-any.whl): Uploading...
artifacts.Upload(my_test_code-0.0.1-py3-none-any.whl): Upload succeeded
```
## 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
## Changes
Added run_as section for bundle configuration.
This section allows to define an user name or service principal which
will be applied as an execution identity for jobs and DLT pipelines. In
the case of DLT, identity defined in `run_as` will be assigned
`IS_OWNER` permission on this pipeline.
## Tests
Added unit tests for configuration.
Also ran deploy for the following bundle configuration
```
bundle:
name: "run_as"
run_as:
# service_principal_name: "f7263fcc-56d0-4981-8baf-c2a45296690b"
user_name: "lennart.kats@databricks.com"
resources:
pipelines:
andrew_pipeline:
name: "Andrew Nester pipeline"
libraries:
- notebook:
path: ./test.py
jobs:
job_one:
name: Job One
tasks:
- task_key: "task"
new_cluster:
num_workers: 1
spark_version: 13.2.x-snapshot-scala2.12
node_type_id: i3.xlarge
runtime_engine: PHOTON
notebook_task:
notebook_path: "./test.py"
```
## Changes
Renamed Environments to Targets in bundle.yml.
The change is backward-compatible and customers can continue to use
`environments` in the time being.
## Tests
Added tests which checks that both `environments` and `targets` sections
in bundle.yml works correctly
## Changes
This is not desirable and will be addressed by representing our
configuration in a different structure (e.g. with cty, or with
plain `any`), instead of Go structs.
## Tests
Pass.
## Changes
Prompt UI glitches often. We are switching to a custom implementation of
a simple prompter which is much more stable.
This also allows new lines in prompts which has been an ask by the
mlflow team.
## Tests
Tested manually
## Changes
Originally, these blocks were merged with overrides. This was
(inadvertently) disabled in #94. This change re-enables merging these
blocks with overrides, such that any field set in an environment
override always takes precedence over the field set in the base
definition.
## Tests
New unit test passes.
## Changes
While they are a slice, we can identify a job cluster by its job cluster
key. A job definition with multiple job clusters with the same key is
always invalid. We can therefore merge definitions with the same key
into one. This is compatible with how environment overrides are applied;
merging a slice means appending to it. The override will end up in the
job cluster slice of the original, which gives us a deterministic way to
merge them.
Since the alternative is an invalid configuration, this doesn't change
behavior.
## Tests
New test coverage.
## Changes
This PR:
1. Introduces the "internal" tag to bundle configs that should not be
visible to customers.
2. Annotates "metadata_service_url" as an internal field.
## Tests
Unit tests.
## Changes
This PR:
1. Fixes the computation logic for `ActualBranch`. An error in the
earlier logic caused the validation mutator to be a no-op.
2. Makes the `.git` string a global var. This is useful to configure in
tests.
3. Adds e2e test for the validation mutator.
## Tests
Unit test
## 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>
## Changes
Add omit empty tag to git details. Otherwise this field becomes a
required field in the config json schema
## Tests
Tested by regenerating the json schema and checking that the git field
is now optional
## Changes
This config block contains commit, branch and remote_url which will be
automatically loaded if specified in the repo, and can also be specified
by the user
## Tests
Unit and black-box tests
## Changes
Traverses the variables referred in a depth first manner to resolve
string fields.
Errors out if a cycle is detected
## Tests
Manually and unit/blackbox tests
## Changes
Adds a IsInplaceSupported() function to the event interface. Any event
that now uses the progress logger has to declare whether they support in
place logging
## Tests
Manually
## Changes
This PR adds checks during bundle config load and merge to error out if
there are duplicate keys for resource definitions
## Tests
Using unit tests and manually
## Changes
1. Events are now printed in chronological order
2. Simplify events rendering by removing update/flow name. This makes it
more consistent with the web UI too
3. Switch to server side filtering on update_id
## Tests
Manually
Happy run:
```
shreyas.goenka@THW32HFW6T pipeline-progress % bricks bundle run foo
2023-04-12T20:00:22.879Z update_progress INFO "Update e1becc is INITIALIZING."
2023-04-12T20:00:22.906Z update_progress INFO "Update e1becc is SETTING_UP_TABLES."
2023-04-12T20:00:24.496Z update_progress INFO "Update e1becc is RUNNING."
2023-04-12T20:00:24.497Z flow_progress INFO "Flow 'sales_orders_raw' is QUEUED."
2023-04-12T20:00:24.586Z flow_progress INFO "Flow 'sales_orders_raw' is STARTING."
2023-04-12T20:00:24.748Z flow_progress INFO "Flow 'sales_orders_raw' is RUNNING."
2023-04-12T20:00:26.672Z flow_progress INFO "Flow 'sales_orders_raw' has COMPLETED."
2023-04-12T20:00:27.753Z update_progress INFO "Update e1becc is COMPLETED."
```
Sad run:
```
shreyas.goenka@THW32HFW6T pipeline-progress % bricks bundle run foo
2023-04-12T20:02:07.764Z update_progress INFO "Update 04b80e is INITIALIZING."
2023-04-12T20:02:07.870Z update_progress ERROR "Update 04b80e is FAILED."
Error: update failed
```
## Changes
<!-- Summary of your changes that are easy to understand -->
Output now:
```
shreyas.goenka@THW32HFW6T pipeline-progress % bricks bundle run foo
The update can be found at https://e2-dogfood.staging.cloud.databricks.com/#joblist/pipelines/1cc605db-daab-4218-b38a-a63030e3eb03/updates/f92f2159-1141-47de-b1e2-1ca854b7238f
2023-04-12T20:41:19.813Z update_progress INFO "Update f92f21 is INITIALIZING."
2023-04-12T20:41:19.841Z update_progress INFO "Update f92f21 is SETTING_UP_TABLES."
2023-04-12T20:41:21.270Z update_progress INFO "Update f92f21 is RUNNING."
2023-04-12T20:41:21.271Z flow_progress INFO "Flow 'sales_orders_raw' is QUEUED."
2023-04-12T20:41:21.349Z flow_progress INFO "Flow 'sales_orders_raw' is STARTING."
2023-04-12T20:41:21.480Z flow_progress INFO "Flow 'sales_orders_raw' is RUNNING."
2023-04-12T20:41:23.493Z flow_progress INFO "Flow 'sales_orders_raw' has COMPLETED."
2023-04-12T20:41:25.484Z update_progress INFO "Update f92f21 is COMPLETED."
```
## Tests
<!-- How is this tested? -->
## Changes
These are unlikely to ever be DBFS paths so we can remove this level of indirection to simplify.
**Note:** this is a breaking change. Downstream usage of these fields must be updated.
## Tests
Existing tests pass.
## Changes
If a configuration file is located in a subdirectory of the bundle root,
files referenced from that configuration file should be relative to its
configuration file's directory instead of the bundle root.
## Tests
* New tests in `bundle/config/mutator/translate_paths_test.go`.
* Existing tests under `bundle/tests` pass and are augmented to assert
on paths.
---------
Co-authored-by: shreyas-goenka <88374338+shreyas-goenka@users.noreply.github.com>
## Changes
This PR changes the files.Delete() mutator to delete the sync snapshots
file on destroy. This ensures that files will be uploaded when the
bundle is uploaded again.
## Tests
- [x] Manual test: Ran `bricks bundle destroy`, observed that the sync
snapshots file was deleted.
## Changes
This is useful when developing the Databricks Terraform provider where
you keep a local-only build of the provider and refer to it using $HOME
from `~/.terraformrc`, for example like this:
```
plugin_cache_dir = "$HOME/.terraform.d/plugin-cache"
```
## Tests
That $HOME is passed through cannot be tested as is because the
`tfexec.Terraform` struct doesn't expose it through public fields or
methods. What can be tested is a successful run of the initialize
mutator and this is included in this commit.
## Changes
Consider the following host based configuration:
```
bundle:
name: job_with_file_task
workspace:
host: https://e2-dogfood.staging.cloud.databricks.com/
```
If you have a DEFAULT profile, then this host is ignored. The solution
proposed here is to remove the profile config loader if host is
explicitly specified in the bundle config.
This does come with a cost, namely that if a `DATABRICKS_CONFIG_PROFILE`
env var will be ignored, which maybe goes against unified auth spec
The ideal solution here is probably to make a change to go-SDK to not
select DEFAULT profile if host is not empty
## Tests
<!-- How is this tested? -->
## Changes
This change also swaps the order of mutators such that interpolation
happens before path translation. This means that is is possible to use
variables (e.g. `${bundle.environment}`) in notebook or file paths.
## Tests
New tests pass and verified manually.
This PR adds a bundle: "readonly" struct tag to the json schema
generator. This allows us to skip generating json schema for internal
readonly fields
Tested using unit test
## Changes
Pull state before deploying and push state after deploying.
Note: the run command was missing mutators to initialize Terraform. This
is necessary if the cache directory is removed between running "deploy"
and "run" (which is valid now that we synchronize state).
## Tests
Manually.
## Changes
The databricks_permissions resource may be generated if a bundle
resource includes a `permissions` block. There's no need to incorporate
details from the materialization into the bundle configuration struct.
## Tests
Confirmed that this fixes `bricks bundle run` when dealing with a bundle
with permission configuration.
## Changes
Auth relied on setting a profile. In this change we enumerate all
configuration properties and export all non-empty ones as a map with
environment variables. We then pass this map to the Terraform execution
wrapper.
This results in Terraform using the bundle's authentication
configuration.
This change is needed to make #287 work.
## Tests
Manually.
## Changes
This improves out of the box usability where a user who already
configured a `.databrickscfg` file will be able to reference the
workspace host in their `bundle.yml` and it will automatically pick up
the right profile.
## Tests
* Newly added tests pass.
* Manual testing confirms intended behavior.
---------
Co-authored-by: shreyas-goenka <88374338+shreyas-goenka@users.noreply.github.com>
Add configuration:
```
bundle:
lock:
enabled: true
force: false
```
The force field can be set by passing the `--force` argument to `bricks
bundle deploy`. Doing so means the deployment lock is acquired even if
it is currently held. This should only be used in exceptional cases
(e.g. a previous deployment has failed to release the lock).
Adds check for whether file exists locally
case 1: local (relative) file does not exist
```
foo:
name: "[job-output] test-job by shreyas"
tasks:
- task_key: my_notebook_task
existing_cluster_id: ***
notebook_task:
notebook_path: "./doesnotexist"
```
output:
```
shreyas.goenka@THW32HFW6T job-output % bricks bundle deploy
Error: notebook ./doesnotexist not found. Error: open /Users/shreyas.goenka/projects/job-output/doesnotexist: no such file or directory
```
case 2: remote (absolute) file does not exist
```
foo:
name: "[job-output] test-job by shreyas"
tasks:
- task_key: my_notebook_task
existing_cluster_id: ***
notebook_task:
notebook_path: "/Users/shreyas.goenka@databricks.com/doesnotexist"
```
output:
```
shreyas.goenka@THW32HFW6T job-output % bricks bundle deploy
shreyas.goenka@THW32HFW6T job-output % bricks bundle run foo
Error: failed to reach TERMINATED or SKIPPED, got INTERNAL_ERROR: Task my_notebook_task failed with message: Notebook not found: /Users/shreyas.goenka@databricks.com/doesnotexist. This caused all downstream tasks to get skipped.
```
case 3: remote exists
Successful deploy and run
Tested manually:
Before we did not have get any errors/logs and silently failed in this
case
```
shreyas.goenka@THW32HFW6T job-output % bricks bundle run foo
Error: run skipped: Skipping this run because the limit of 1 maximum concurrent runs has been reached.
```
We incorrectly relied on map key iteration order to print debug trace.
This PR switches over to using the tracker struct to allow more reliable
json schema reference loop detection and logging
This also fixes the failing TestSelfReferenceLoopErrors and
TestCrossReferenceLoopErrors tests
This PR:
1. Adds autogeneration of descriptions for `resources` field
2. Autogenerates empty descriptions for any properties in DABs
3. Defines SOPs for how to refresh these descriptions
4. Adds command to generate this documentation
5. Adds Automatically copy any descriptions over to `environments`
property
Basically it provides a framework for adding descriptions to the
generated JSON schema
Tested manually and using unit tests
PR for how to render errors on console for jobs.
Here is the bundle used for the logs below:
```
bundle:
name: deco-438
workspace:
host: https://adb-309687753508875.15.azuredatabricks.net
resources:
jobs:
foo:
name: "[${bundle.name}][${bundle.environment}] a test notebook"
tasks:
- task_key: alpha
existing_cluster_id: 1109-115254-ox7poobk
notebook_task:
notebook_path: "/Users/shreyas.goenka@databricks.com/[deco-438] invalid notebook"
- task_key: beta
existing_cluster_id: 1109-115254-ox7poobk
notebook_task:
notebook_path: "/does-not-exist"
- task_key: gamma
existing_cluster_id: 1109-115254-ox7poobk
notebook_task:
notebook_path: "/Users/shreyas.goenka@databricks.com/[deco-438] valid notebook"
```
And this is a screenshot of the logs from the console:
<img width="1057" alt="Screenshot 2023-02-17 at 7 12 29 PM"
src="https://user-images.githubusercontent.com/88374338/219744768-ab7f1e79-db8f-466a-ad6d-f2b6f85ed17c.png">
Here are the logs when only tasks gamma is executed (successfully):
<img width="1059" alt="Screenshot 2023-02-17 at 7 13 04 PM"
src="https://user-images.githubusercontent.com/88374338/219744992-011d8b91-ec1d-44f0-a849-83c81816dd9f.png">
TODO: Investigate more possible job errors, and make sure state for them
is handled in a robust way here
1. Perform file synchronization on deploy
2. Update notebook file path translation logic to point to the
synchronization target rather than treating the notebook as an artifact
and uploading it separately.
Invoke with `bricks sync SRC DST`.
In bundle context `SRC` and `DST` arguments are taken from bundle configuration.
This PR adds `bricks bundle sync` to disambiguate between the two.
Once the VS Code extension is bundle aware they can again be consolidated.
Consolidating them today would regress the VS Code experience if a
`bundle.yml` file is present in the file tree.
The workspace root path is a base path for bundle storage. If not
specified, it defaults to `~/.bundle/name/environment`. This default, or
other paths starting with `~` are expanded to the current user's home
directory. The configuration also includes fields for the files path,
artifacts path, and state path. By default, these are nested under the
root path, but can be overridden if needed.
This PR contains a struct to allow you to generate JSON schemas from
Golang types and a struct to allow injecting documentation into the json
schema. This will support autocomplete for DABs
If the environment is not set through command line argument or
environment variable, the bundle loads either 1) the only environment,
2) the only environment with the default flag set.
Users can opt out and use the system-installed version with the
following configuration:
```
bundle:
terraform:
exec_path: terraform
```
This will find the binary in $PATH and replace it with the found value.
If this is not set, the initialize phase will install Terraform in the
bundle's cache directory.
Summary:
* All remote path arguments for deployer and locker are now relative to
root specified at initialization
* The workspace client is now a struct field so it doesn't have to be
passed around
This includes 3 mutators:
* Interpolate resources references to TF compatible format
* Convert resources struct to TF JSON format and write it to disk
* Run TF apply
By specifying a function typed `LookupFunction` the caller can customize
which path expressions to interpolate and which ones to skip. When we
express dependencies between resources their values are known by
Terraform at deploy time. Therefore, we have to skip interpolation for
`${resources.jobs.my_job.id}` and instead rewrite it to
`${databricks_job.my_job.id}` before passing it along to Terraform.
Performs interpolation on string field.
It looks for patterns `${foo.bar}` where `foo.bar` points to a string
field in the configuration data model.
It does not support traversal (e.g. `${foo}` with `foo` equal
to`${bar}`), hence "rudimentary".
This adds:
* Top level "artifacts" configuration key
* Support for notebooks (does language detection and upload)
* Merge of per-environment artifacts (or artifact overrides) into top level
Unit tests are now run in all three big OS.
Some of the changes are to make the tests green for windows while we are
skipping some of the other tests on windows/macOS to make the tests
pass. This is a temporary measure and we will incrementally migrate
these tests over so there is parity in unit testing along all three
environments!
While working on artifact upload and workspace interrogation I realized
this mutator interface needs to:
1. Operate at the whole bundle level so it can apply to both
configuration and internal state
2. Include a `context.Context` parameter for a) long running operations
and b) progress reporting
Previous interface:
```
Apply(*config.Root) ([]Mutator, error)
```
New interface:
```
Apply(context.Context, *Bundle) ([]Mutator, error)
```
Used to inspect the bundle configuration after loading and merging all
files.
Once we add variable interpolation this command could show the result
after interpolation as well.
Each of the mutations to this configuration is observable, so we could
add a mode that writes each of the intermediate versions to disk for
even more fine grained introspection.
Load a tree of configuration files anchored at `bundle.yml` into the
`config.Root` struct.
All mutations (from setting defaults to merging files) are observable
through the `mutator.Mutator` interface.
Pieter Noordhuis
Lennart Kats (databricks)
Andrew Nester
shreyas-goenka
Kartik Gupta
Fabian Jakobs
dependabot[bot]
Gleb Kanterov
stikkireddy
Serge Smertin
Fabian Jakobs
Shreyas Goenka
Miles Yucht
