## Changes
With this change, both job parameters and task parameters can be
specified as positional arguments to bundle run. How the positional
arguments are interpreted depends on the configuration of the job.
### Examples:
For a job that has job parameters configured a user can specify:
```
databricks bundle run my_job -- --param1=value1 --param2=value2
```
And the run is kicked off with job parameters set to:
```json
{
"param1": "value1",
"param2": "value2"
}
```
Similarly, for a job that doesn't use job parameters and only has
`notebook_task` tasks, a user can specify:
```
databricks bundle run my_notebook_job -- --param1=value1 --param2=value2
```
And the run is kicked off with task level `notebook_params` configured
as:
```json
{
"param1": "value1",
"param2": "value2"
}
```
For a job that doesn't doesn't use job parameters and only has either
`spark_python_task` or `python_wheel_task` tasks, a user can specify:
```
databricks bundle run my_python_file_job -- --flag=value other arguments
```
And the run is kicked off with task level `python_params` configured as:
```json
[
"--flag=value",
"other",
"arguments"
]
```
The same is applied to jobs with only `spark_jar_task` or
`spark_submit_task` tasks.
## Tests
Unit tests. Tested the completions manually.
## Changes
The main changes are:
1. Don't link artifacts to libraries anymore and instead just iterate
over all jobs and tasks when uploading artifacts and update local path
to remote
2. Iterating over `jobs.environments` to check if there are any local
libraries and checking that they exist locally
3. Added tests to check environments are handled correctly
End-to-end test will follow up
## Tests
Added regression test, existing tests (including integration one) pass
## Changes
This enable queueing for jobs by default, following the behavior from
API 2.2+. Queing is a best practice and will be the default in API 2.2.
Since we're still using API 2.1 which has queueing disabled by default,
this PR enables queuing using a mutator.
Customers can manually turn off queueing for any job by adding the
following to their job spec:
```
queue:
enabled: false
```
## Tests
Unit tests, manual confirmation of property after deployment.
---------
Co-authored-by: Pieter Noordhuis <pcnoordhuis@gmail.com>
## Changes
I spotted a few call sites where the path of a test file was synthesized
multiple times. It is easier to capture the path as a variable and reuse
it.
## Changes
The default template includes a final newline but this was missing from
the cmdgroup template. This change also adds test coverage for inherited
flags and the flag group description.
Bumps [golang.org/x/net](https://github.com/golang/net) from 0.22.0 to
0.23.0.
<details>
<summary>Commits</summary>
<ul>
<li><a
href="c48da13158"><code>c48da13</code></a>
http2: fix TestServerContinuationFlood flakes</li>
<li><a
href="762b58d1cf"><code>762b58d</code></a>
http2: fix tipos in comment</li>
<li><a
href="ba872109ef"><code>ba87210</code></a>
http2: close connections when receiving too many headers</li>
<li><a
href="ebc8168ac8"><code>ebc8168</code></a>
all: fix some typos</li>
<li><a
href="3678185f8a"><code>3678185</code></a>
http2: make TestCanonicalHeaderCacheGrowth faster</li>
<li><a
href="448c44f928"><code>448c44f</code></a>
http2: remove clientTester</li>
<li><a
href="c7877ac421"><code>c7877ac</code></a>
http2: convert the remaining clientTester tests to testClientConn</li>
<li><a
href="d8870b0bf2"><code>d8870b0</code></a>
http2: use synthetic time in TestIdleConnTimeout</li>
<li><a
href="d73acffdc9"><code>d73acff</code></a>
http2: only set up deadline when Server.IdleTimeout is positive</li>
<li><a
href="89f602b7bb"><code>89f602b</code></a>
http2: validate client/outgoing trailers</li>
<li>Additional commits viewable in <a
href="https://github.com/golang/net/compare/v0.22.0...v0.23.0">compare
view</a></li>
</ul>
</details>
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## Changes
The sync struct initialization would recreate the deleted `file_path`.
This PR moves to not initializing the sync object to delete the
snapshot, thus fixing the lingering `file_path` after `bundle destroy`.
## Tests
Manually, and a integration test to prevent regression.
## Changes
Fixes to get host from the workspace client rather than only printing
the host when it's configured in the bundle config.
## Tests
Manually. When a profile was specified for auth.
Before:
```
➜ bundle-playground git:(master) ✗ cli bundle validate
Name: bundle-playground
Target: default
Workspace:
Host:
User: shreyas.goenka@databricks.com
Path: /Users/shreyas.goenka@databricks.com/.bundle/bundle-playground/default
```
After:
```
➜ bundle-playground git:(master) ✗ cli bundle validate
Name: bundle-playground
Target: default
Workspace:
Host: https://e2-dogfood.staging.cloud.databricks.com
User: shreyas.goenka@databricks.com
Path: /Users/shreyas.goenka@databricks.com/.bundle/bundle-playground/default
```
## Changes
This PR:
1. Uses bash to run the setup.sh script instead of the native busybox sh
shipped with alpine.
2. Verifies the checksums of the installed terraform CLI binaries.
## Tests
Manually. The docker image successfully builds.
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
All these validators will return warnings as part of `bundle validate`
run
Added 2 mutators:
1. To check that if tasks use job_cluster_key it is actually defined
2. To check if there are any files to sync as part of deployment
Also added `bundle.Parallel` to run them in parallel
To make sure mutators under bundle.Parallel do not mutate config,
introduced new `ReadOnlyMutator`, `ReadOnlyBundle` and `ReadOnlyConfig`.
Example
```
databricks bundle validate -p deco-staging
Warning: unknown field: new_cluster
at resources.jobs.my_job
in bundle.yml:24:7
Warning: job_cluster_key high_cpu_workload_job_cluster is not defined
at resources.jobs.my_job.tasks[0].job_cluster_key
in bundle.yml:35:28
Warning: There are no files to sync, please check your your .gitignore and sync.exclude configuration
at sync.exclude
in bundle.yml:18:5
Name: test
Target: default
Workspace:
Host: https://acme.databricks.com
User: andrew.nester@databricks.com
Path: /Users/andrew.nester@databricks.com/.bundle/test/default
Found 3 warnings
```
## Tests
Added unit tests
This PR improves the documentation for the `auth login` command,
accounting for the various ways this command can be used in.
---------
Co-authored-by: PaulCornellDB <paul.cornell@databricks.com>
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
Allows for the syntax below
```
variables:
service_principal_app_id:
description: 'The app id of the service principal for running workflows as.'
lookup:
service_principal: "sp-${bundle.environment}"
```
Fixes#1259
## Tests
Added regression test
## Changes
This changes `databricks bundle deploy` so that it skips the lock
acquisition/release step for a `mode: development` target:
* This saves about 2 seconds (measured over 100 runs on a quiet/busy
workspace).
* This helps avoid the `deploy lock acquired by lennart@company.com at
2024-02-28 15:48:38.40603 +0100 CET. Use --force-lock to override` error
* Risk: this may cause deployment conflicts, but since dev mode
deployments are always scoped to a user, that risk should be minimal
Update after discussion:
* This behavior can now be disabled via a setting.
* Docs PR: https://github.com/databricks/docs/pull/15873
## Measurements
### 100 deployments of the "python_default" project to an empty
workspace
_Before this branch:_
p50 time: 11.479 seconds
p90 time: 11.757 seconds
_After this branch:_
p50 time: 9.386 seconds
p90 time: 9.599 seconds
### 100 deployments of the "python_default" project to a busy (staging)
workspace
_Before this branch:_
* p50 time: 13.335 seconds
* p90 time: 15.295 seconds
_After this branch:_
* p50 time: 11.397 seconds
* p90 time: 11.743 seconds
### Typical duration of deployment steps
* Acquiring Deployment Lock: 1.096 seconds
* Deployment Preparations and Operations: 1.477 seconds
* Uploading Artifacts: 1.26 seconds
* Finalizing Deployment: 9.699 seconds
* Releasing Deployment Lock: 1.198 seconds
---------
Co-authored-by: Pieter Noordhuis <pcnoordhuis@gmail.com>
Co-authored-by: Andrew Nester <andrew.nester.dev@gmail.com>
## Changes
We currently issue a warning if an integer is used where a floating
point number is expected. But if they are convertible, we should convert
and not issue a warning. This change fixes normalization if they are
convertible between each other. We still produce a warning if the type
conversion leads to a loss in precision.
## Tests
Unit tests pass.
[](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)
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Co-authored-by: Andrew Nester <andrew.nester@databricks.com>
## Changes
This PR follows instructions in
https://goreleaser.com/cookbooks/multi-platform-docker-images/ to create
a multi-arch docker CLI image. Thus customers can simply specify `docker
pull ghcr.io/databricks/cli:latest` to pull and run the image.
The current approach uses the `docker manifest` support in goreleaser to
create a multi-arch image. This has a couple of pros and cons. TLDR; The
changes as is in the PR are good to go and very low risk. The
information provided here is just FYI.
pros:
Fewer configurations/workflows for us to manage/maintain. Goreleaser
makes sure the correct CLI binary is in place when building the CLI and
also takes care of publishing it to the Github Container Registry.
cons:
Goreleaser only supports [docker
manifest](https://docs.docker.com/reference/cli/docker/manifest/) to
create multi-arch images. This has a few minor disadvantages:
1. `goreleaser` pushes all intermediate images (arm64 and and64 specific
images) to the registry. This is required for the manifest to reference
them. See: https://github.com/goreleaser/goreleaser/issues/2606
Note: We have a migration path here, if someday we stop publishing
intermediate images, we can simply tag the "multi-arch" image as both
`latest-amd64` and `latest-arm64`. For now, these are separate images.
see: https://github.com/databricks/cli/pkgs/container/cli
2. `docker manifest` is technically an experimental command. Though it's
been out for multiple years now and the indirect dependency by
`goreleaser` should be fine. In any case, we can migrate by moving our
docker build process off goreleaser if we need to.
## Tests
Tested manually by publishing a new release for `v0.0.0-docker` in
ghcr.io.
1. Package: https://github.com/databricks/cli/pkgs/container/cli
2. Release workflow:
https://github.com/databricks/cli/actions/runs/8689359851
Tests the image itself by running it manually:
```
➜ cli git:(feature/multi-arch-docker) docker pull ghcr.io/databricks/cli:latest
latest: Pulling from databricks/cli
bca4290a9639: Already exists
6d445556910d: Already exists
Digest: sha256:82eabc500b541a89182aed4d3158c955e57c1e84d9616b76510aceb1d9024425
Status: Downloaded newer image for ghcr.io/databricks/cli:latest
ghcr.io/databricks/cli:latest
What's Next?
View a summary of image vulnerabilities and recommendations → docker scout quickview ghcr.io/databricks/cli:latest
➜ cli git:(feature/multi-arch-docker) docker run ghcr.io/databricks/cli --version
Databricks CLI v0.0.0-docker
```
## Changes
This PR is a minor UX improvement. By not autofilling the https://
prefix in Databricks Host we allow users to directly copy-paste from
their browser.
UX:
```
➜ cli git:(fix/copy-host) cli auth login
Databricks Profile Name: my-profile
Databricks Host (e.g. https://<databricks-instance>.cloud.databricks.com): https://foobar.cloud.databricks.com
Profile my-profile was successfully saved
```
## Tests
Manually.
## Changes
Transform artifact files source patterns in build not upload stage
Resolves the following warning
```
artifact section is not defined for file at /Users/andrew.nester/dabs/wheel/target/myjar.jar. Skipping uploading. In order to use the define 'artifacts' section
```
## Tests
Unit test pass
## Changes
This PR makes changes to support creating a docker image for the CLI
with the `terraform` dependencies built in. This is useful for customers
that operate in a network-restricted environment. Normally DABs makes
API calls to registry.terraform.io to setup the terraform dependencies,
with this setup the CLI/DABs will rely on the provider binaries bundled
in the docker image.
### Specifically this PR makes the following changes:
----------------
Modifies the CLI release workflow to publish the docker images in the
Github Container Registry. URL:
https://github.com/databricks/cli/pkgs/container/cli.
We use docker support in `goreleaser` to build and publish the images.
Using goreleaser ensures the CLI packaged in the docker image is the
same release artifact as the normal releases. For more information see:
1. https://goreleaser.com/cookbooks/multi-platform-docker-images
2. https://goreleaser.com/customization/docker/
Other choices made include:
1. Using `alpine` as the base image. The reason is `alpine` is a small
and lightweight linux distribution (~5MB) and an industry standard.
2. Not using [docker
manifest](https://docs.docker.com/reference/cli/docker/manifest) to
create a multi-arch build. This is because the functionality is still
experimental.
------------------
Make the `DATABRICKS_TF_VERSION` and `DATABRICKS_TF_PROVIDER_VERSION`
environment variables optional for using the terraform file mirror.
While it's not strictly necessary to make the docker image work, it's
the "right" behaviour and reduces complexity. The rationale is:
- These environment variables here are needed so the Databricks CLI does
not accidentally use the file mirror bundled with VSCode if it's
incompatible. This does not require the env vars to be mandatory.
context: https://github.com/databricks/cli/pull/1294
- This makes the `Dockerfile` and `setup.sh` simpler. We don't need an
[entrypoint.sh script to set the version environment
variables](https://medium.com/@leonardo5621_66451/learn-how-to-use-entrypoint-scripts-in-docker-images-fede010f172d).
This also makes using an interactive terminal with `docker run -it ...`
work out of the box.
## Tests
Tested manually.
--------------------
To test the release pipeline I triggered a couple of dummy releases and
verified that the images are built successfully and uploaded to Github.
1. https://github.com/databricks/cli/pkgs/container/cli
3. workflow for release:
https://github.com/databricks/cli/actions/runs/8646106333
--------------------
I tested the docker container itself by setting up
[Charles](https://www.charlesproxy.com/) as an HTTP proxy and verifying
that no HTTP requests are made to `registry.terraform.io`
Before:
FYI, The Charles web proxy is hosted at localhost:8888.
```
shreyas.goenka@THW32HFW6T bundle-playground % rm -r .databricks
shreyas.goenka@THW32HFW6T bundle-playground % HTTP_PROXY="http://localhost:8888" HTTPS_PROXY="http://localhost:8888" cli bundle deploy
Uploading bundle files to /Users/shreyas.goenka@databricks.com/.bundle/bundle-playground/default/files...
Deploying resources...
Updating deployment state...
Deployment complete!
```
<img width="1275" alt="Screenshot 2024-04-11 at 3 21 45 PM"
src="https://github.com/databricks/cli/assets/88374338/15f37324-afbd-47c0-a40e-330ab232656b">
After:
This time bundle deploy is run from inside the docker container. We use
`host.docker.internal` to map to localhost on the host machine, and -v
to mount the host file system as a volume.
```
shreyas.goenka@THW32HFW6T bundle-playground % docker run -v ~/projects/bundle-playground:/bundle -v ~/.databrickscfg:/root/.databrickscfg -it --entrypoint /bin/sh -e HTTP_PROXY="http://host.docker.internal:8888" -e HTTPS_PROXY="http://host.docker.internal:8888" --network host ghcr.io/databricks/cli:latest-arm64
/ # cd /bundle/
/bundle # rm -r .databricks/
/bundle # databricks bundle deploy
Uploading bundle files to /Users/shreyas.goenka@databricks.com/.bundle/bundle-playground/default/files...
Deploying resources...
Updating deployment state...
Deployment complete!
```
<img width="1275" alt="Screenshot 2024-04-11 at 3 22 54 PM"
src="https://github.com/databricks/cli/assets/88374338/2a8f097e-734b-4b3e-8075-c02e98a1b275">
## Changes
In 0.217.0 we started to emit warning on unknown fields in YAML
configuration but wrongly considered YAML anchor blocks as unknown
field.
This PR fixes this by skipping normalising of YAML blocks.
## Tests
Added regression tests
Bumps [golang.org/x/sync](https://github.com/golang/sync) from 0.6.0 to
0.7.0.
<details>
<summary>Commits</summary>
<ul>
<li><a
href="14be23e5b4"><code>14be23e</code></a>
semaphore: cancel acquisition with a done context</li>
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## Changes
`preinit` script needs to be executed before processing configuration
files to allow the script to modify the configuration or add own
configuration files.
Bumps [golang.org/x/oauth2](https://github.com/golang/oauth2) from
0.18.0 to 0.19.0.
<details>
<summary>Commits</summary>
<ul>
<li><a
href="d0e617c58c"><code>d0e617c</code></a>
google: add Credentials.UniverseDomainProvider</li>
<li><a
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oauth2/google: fix the logic of sts 0 value of expires_in</li>
<li><a
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oauth2/google: fix remove content-type header from idms get
requests</li>
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appengine: drop obsolete code for AppEngine envs <=Go 1.11</li>
<li>See full diff in <a
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Bumps [golang.org/x/mod](https://github.com/golang/mod) from 0.16.0 to
0.17.0.
<details>
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modfile: fix crash on AddGoStmt in empty File</li>
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<p><em>Sourced from <a
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<blockquote>
<h2>v0.6.4</h2>
<p>DEPENDENCIES:</p>
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<li>build(deps): Bump workflows to latest trusted versions by <a
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Update VERSION to cut 0.6.4</li>
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href="71ed3f4382"><code>71ed3f4</code></a>
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href="178d8be98d"><code>178d8be</code></a>
Update VERSION back to dev</li>
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This makes the command almost instant, no matter how many profiles cfg
file has. One downside is that we don't set AuthType for profiles that
don't have it defined.
We can technically infer AuthType based on ConfigAttributes tags, but
their names are different from the names of actual auth providers (and
some tags cover multiple providers at the same time).
## Changes
It now shows human-readable warnings and validation status.
## Tests
* Manual tests against many examples.
* Errors still return immediately.
## Changes
Errors in normalization mean hard failure as of #1319.
We currently allow malformed configurations and ignore the malformed
fields and should continue to do so.
## Tests
* Tests pass.
* No calls to `diag.Errorf` from `libs/dyn`
## Changes
Variable substitution works as if the variable reference is literally
replaced with its contents.
The following fields should be interpreted in the same way regardless of
where the variable is defined:
```yaml
foo: ${var.some_path}
bar: "./${var.some_path}"
```
Before this change, `foo` would inherit the location information of the
variable definition. After this change, it uses the location information
of the variable reference, making the behavior for `foo` and `bar`
identical.
Fixes#1330.
## Tests
The new test passes only with the fix.
[](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)
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---------
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Co-authored-by: Andrew Nester <andrew.nester@databricks.com>
## Changes
This adds context to warnings and errors. For example:
* Summary: `unknown field bar`
* Location: `foo.yml:6:10`
* Path: `.targets.dev.workspace`
## Tests
Unit tests.
- Add `bundle debug terraform` command. It prints versions of the
Terraform and the Databricks Terraform provider. In the text mode it
also explains how to setup the CLI in environments with restricted
internet access.
- Use `DATABRICKS_TF_EXEC_PATH` env var to point Databricks CLI to the
Terraform binary. The CLI only uses it if `DATABRICKS_TF_VERSION`
matches the currently used terraform version.
- Use `DATABRICKS_TF_CLI_CONFIG_FILE` env var to point Terraform CLI
config that points to the filesystem mirror for the Databricks provider.
The CLI only uses it if `DATABRICKS_TF_PROVIDER_VERSION` matches the
currently used provider version.
Relevant PR on the VSCode extension side:
https://github.com/databricks/databricks-vscode/pull/1147
Example output of the `databricks bundle debug terraform`:
```
Terraform version: 1.5.5
Terraform URL: https://releases.hashicorp.com/terraform/1.5.5
Databricks Terraform Provider version: 1.38.0
Databricks Terraform Provider URL: https://github.com/databricks/terraform-provider-databricks/releases/tag/v1.38.0
Databricks CLI downloads its Terraform dependencies automatically.
If you run the CLI in an air-gapped environment, you can download the dependencies manually and set these environment variables:
DATABRICKS_TF_VERSION=1.5.5
DATABRICKS_TF_EXEC_PATH=/path/to/terraform/binary
DATABRICKS_TF_PROVIDER_VERSION=1.38.0
DATABRICKS_TF_CLI_CONFIG_FILE=/path/to/terraform/cli/config.tfrc
Here is an example *.tfrc configuration file:
disable_checkpoint = true
provider_installation {
filesystem_mirror {
path = "/path/to/a/folder/with/databricks/terraform/provider"
}
}
The filesystem mirror path should point to the folder with the Databricks Terraform Provider. The folder should have this structure: /registry.terraform.io/databricks/databricks/terraform-provider-databricks_1.38.0_ARCH.zip
For more information about filesystem mirrors, see the Terraform documentation: https://developer.hashicorp.com/terraform/cli/config/config-file#filesystem_mirror
```
---------
Co-authored-by: shreyas-goenka <88374338+shreyas-goenka@users.noreply.github.com>
## Changes
Allow specifying CLI version constraints required to run the bundle
Example of configuration:
#### only allow specific version
```
bundle:
name: my-bundle
databricks_cli_version: "0.210.0"
```
#### allow all patch releases
```
bundle:
name: my-bundle
databricks_cli_version: "0.210.*"
```
#### constrain minimum version
```
bundle:
name: my-bundle
databricks_cli_version: ">= 0.210.0"
```
#### constrain range
```
bundle:
name: my-bundle
databricks_cli_version: ">= 0.210.0, <= 1.0.0"
```
For other examples see:
https://github.com/Masterminds/semver?tab=readme-ov-file#checking-version-constraints
Example error
```
sh-3.2$ databricks bundle validate
Error: Databricks CLI version constraint not satisfied. Required: >= 1.0.0, current: 0.216.0
```
## Tests
Added unit test cover all possible configuration permutations
---------
Co-authored-by: Lennart Kats (databricks) <lennart.kats@databricks.com>
Pieter Noordhuis
Andrew Nester
Lennart Kats (databricks)
dependabot[bot]
shreyas-goenka
Gleb Kanterov
Ilia Babanov