## Changes
Currently, there are a number of issues with the non-happy-path flows
for token refresh in the CLI.
If the token refresh fails, the raw error message is presented to the
user, as seen below. This message is very difficult for users to
interpret and doesn't give any clear direction on how to resolve this
issue.
```
Error: token refresh: Post "https://adb-<WSID>.azuredatabricks.net/oidc/v1/token": http 400: {"error":"invalid_request","error_description":"Refresh token is invalid"}
```
When logging in again, I've noticed that the timeout for logging in is
very short, only 45 seconds. If a user is using a password manager and
needs to login to that first, or needs to do MFA, 45 seconds may not be
enough time. to an account-level profile, it is quite frustrating for
users to need to re-enter account ID information when that information
is already stored in the user's `.databrickscfg` file.
This PR tackles these two issues. First, the presentation of error
messages from `databricks auth token` is improved substantially by
converting the `error` into a human-readable message. When the refresh
token is invalid, it will present a command for the user to run to
reauthenticate. If the token fetching failed for some other reason, that
reason will be presented in a nice way, providing front-line debugging
steps and ultimately redirecting users to file a ticket at this repo if
they can't resolve the issue themselves. After this PR, the new error
message is:
```
Error: a new access token could not be retrieved because the refresh token is invalid. To reauthenticate, run `.databricks/databricks auth login --host https://adb-<WSID>.azuredatabricks.net`
```
To improve the login flow, this PR modifies `databricks auth login` to
auto-complete the account ID from the profile when present.
Additionally, it increases the login timeout from 45 seconds to 1 hour
to give the user sufficient time to login as needed.
To test this change, I needed to refactor some components of the CLI
around profile management, the token cache, and the API client used to
fetch OAuth tokens. These are now settable in the context, and a
demonstration of how they can be set and used is found in
`auth_test.go`.
Separately, this also demonstrates a sort-of integration test of the CLI
by executing the Cobra command for `databricks auth token` from tests,
which may be useful for testing other end-to-end functionality in the
CLI. In particular, I believe this is necessary in order to set flag
values (like the `--profile` flag in this case) for use in testing.
## Tests
Unit tests cover the unhappy and happy paths using the mocked API
client, token cache, and profiler.
Manually tested
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
I've updated the `deploy_then_remove_resources` test template in the
previous PR, but didn't notice that it was used in the destroy test too.
Now destroy test also checks deletion of jobs
## Changes
`check_running_resources` now pulls the remote state without modifying
the bundle state, similar to how it was doing before. This avoids a
problem when we fail to compute deployment metadata for a deleted job
(which we shouldn't do in the first place)
`deploy_then_remove_resources_test` now also deploys and deletes a job
(in addition to a pipeline), which catches the error that this PR fixes.
## Tests
Unit and integ tests
Bumps [golang.org/x/term](https://github.com/golang/term) from 0.19.0 to
0.20.0.
<details>
<summary>Commits</summary>
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href="46c790f81f"><code>46c790f</code></a>
go.mod: update golang.org/x dependencies</li>
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## Changes
This PR ensures every resource implements a custom marshaller /
unmarshaller. This is required because we directly embed Go SDK structs.
which implement custom marshalling overrides. Since the struct is
embedded, the [customer marshalling
overrides](https://pkg.go.dev/encoding/json#example-package-CustomMarshalJSON)
are promoted to the top level. If the embedded struct itself is nil,
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Fixing this issue at the Go SDK level does not seem possible. Discussed
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Bumps [golang.org/x/oauth2](https://github.com/golang/oauth2) from
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<details>
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oauth2: fix typo in comment</li>
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## Changes
Fixes https://github.com/databricks/cli/issues/559
The CLI generation is now stable and does not produce a diff for the
`bundle_descriptions.json` file.
Before a pointer to the schema was stored in the memo, which would be
mutated later to include the description. This lead to duplicate
documentation for schema components that were used in multiple places.
This PR fixes this issue.
Eg: Before all references of `pause_status` would have the same
description.
## Tests
Added regression test.
## Changes
This PR annotates any pipelines that were deployed using DABs to have
`deployment.kind` set to "BUNDLE", mirroring the annotation for Jobs
(similar PR for jobs FYI: https://github.com/databricks/cli/pull/880).
Breakglass UI is not yet available for pipelines, so this annotation
will just be used for revenue attribution ATM.
Note: The API field has been deployed in all regions including GovCloud.
## Tests
Unit tests and manually.
Manually verified that the kind and metadata_file_path are being set by
DABs, and are returned by a GET API to a pipeline deployed using a DAB.
Example:
```
"deployment": {
"kind":"BUNDLE",
"metadata_file_path":"/Users/shreyas.goenka@databricks.com/.bundle/bundle-playground/default/state/metadata.json"
},
```
`terraform show -json` (`terraform.Show()`) fails if the state file
contains resources with fields that non longer conform to the provider
schemas.
This can happen when you deploy a bundle with one version of the CLI,
then updated the CLI to a version that uses different databricks
terraform provider, and try to run `bundle run` or `bundle summary`.
Those commands don't recreate local terraform state (only `terraform
apply` or `plan` do) and terraform itself fails while parsing it.
[Terraform
docs](https://developer.hashicorp.com/terraform/language/state#format)
point out that it's best to use `terraform show` after successful
`apply` or `plan`.
Here we parse the state ourselves. The state file format is internal to
terraform, but it's more stable than our resource schemas. We only parse
a subset of fields from the state, and only update ID and ModifiedStatus
of bundle resources in the `terraform.Load` mutator.
## Changes
The installer.Upgrade() processing did not install Python dependencies.
This resulted in errors such as:
```
ModuleNotFoundError: No module named 'databricks.labs.blueprint'
```
Any new dependencies are now installed during the upgrade process.
Resolves: databrickslabs/ucx#1276
## Tests
The TestUpgraderWorksForReleases test now checks to see if the upgrade
process resulted in the dependencies being installed.
---------
Signed-off-by: Jim.Idle <jimi@idle.ws>
## Changes
* Currently, we use `auth profiles` command with
`DATABRICKS_CONFIG_FILE` env var set, the file pointed to by the env var
is ONLY used for loading the profile names (ini file sections). It is
not passed to go sdk config object. We also don't use env variable
loader in the go sdk config object, so this env var is ignored by the
config and only default file is read.
* This PR explicitly sets the config file path in the go sdk config
object.
## Tests
* integration tests in vscode
## Changes
This is a minor improvement to the error about wheel tasks with older
DBR versions, since we get questions about it every now and then. It
also adds a pointer to the docs that were added since the original
messages was committed.
---------
Co-authored-by: Pieter Noordhuis <pcnoordhuis@gmail.com>
This documentation is very outdated. We don't need this because the CLI
is self-documenting. Also users who land on this page (because of SEO
for example) can be confused because of the lack of documentation for
new commands.
Example issue: https://github.com/databricks/cli/issues/1331
## Changes
We are starting to sign Windows CLI executables, but this has to be done
from a machine with a Yubikey storing the signing certificate for the
immediate future. As such, we will only trigger Winget publishing once
the signed binaries have been uploaded to Github.
Additionally, as an extra precaution, we will only release the signed
binaries via Winget.
## Tests
<!-- How is this tested? -->
## Changes
This PR partially reverts the changes in
https://github.com/databricks/cli/pull/1233 and puts the old code under
an "experimental.use_legacy_run_as" configuration. This gives customers
who ran into the breaking change made in the PR a way out.
## Tests
Both manually and via unit tests.
Manually verified that run_as works for pipelines now. And if a user
wants to use the feature they need to be both a Metastore and a
workspace admin.
---------
Error when the deploying user is a workspace admin but not a metastore
admin:
```
Error: terraform apply: exit status 1
Error: cannot update permissions: User is not a metastore admin for Metastore 'deco-uc-prod-aws-us-east-1'.
with databricks_permissions.pipeline_foo,
on bundle.tf.json line 23, in resource.databricks_permissions.pipeline_foo:
23: }
```
--------
Output of bundle validate:
```
➜ bundle-playground git:(master) ✗ cli bundle validate
Warning: You are using the legacy mode of run_as. The support for this mode is experimental and might be removed in a future release of the CLI. In order to run the DLT pipelines in your DAB as the run_as user this mode changes the owners of the pipelines to the run_as identity, which requires the user deploying the bundle to be a workspace admin, and also a Metastore admin if the pipeline target is in UC.
at experimental.use_legacy_run_as
in databricks.yml:13:22
Name: bundle-playground
Target: default
Workspace:
Host: https://dbc-a39a1eb1-ef95.cloud.databricks.com
User: shreyas.goenka@databricks.com
Path: /Users/shreyas.goenka@databricks.com/.bundle/bundle-playground/default
Found 1 warning
```
## 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
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http2: fix tipos in comment</li>
<li><a
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http2: close connections when receiving too many headers</li>
<li><a
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all: fix some typos</li>
<li><a
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http2: make TestCanonicalHeaderCacheGrowth faster</li>
<li><a
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http2: remove clientTester</li>
<li><a
href="c7877ac421"><code>c7877ac</code></a>
http2: convert the remaining clientTester tests to testClientConn</li>
<li><a
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http2: use synthetic time in TestIdleConnTimeout</li>
<li><a
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http2: only set up deadline when Server.IdleTimeout is positive</li>
<li><a
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http2: validate client/outgoing trailers</li>
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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)
Dependabot will resolve any conflicts with this PR as long as you don't
alter it yourself. You can also trigger a rebase manually by commenting
`@dependabot rebase`.
[//]: # (dependabot-automerge-start)
[//]: # (dependabot-automerge-end)
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---------
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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
```
Miles Yucht
Ilia Babanov
dependabot[bot]
Andrew Nester
shreyas-goenka
Pieter Noordhuis
Jim Idle
Kartik Gupta
Lennart Kats (databricks)