## Changes
Update filenames used by bundle generate to use '.resource-type.yml'
Similar to [Add sub-extension to resource files in built-in templates by
shreyas-goenka · Pull Request #1777 ·
databricks/cli](https://github.com/databricks/cli/pull/1777)
---------
Co-authored-by: shreyas-goenka <88374338+shreyas-goenka@users.noreply.github.com>
## Changes
Added integration test to deploy bundle to /Shared root path
## Tests
```
--- PASS: TestAccDeployBasicToSharedWorkspace (24.58s)
PASS
coverage: 31.2% of statements in ./...
ok github.com/databricks/cli/internal/bundle 25.572s coverage: 31.2% of statements in ./...
```
---------
Co-authored-by: shreyas-goenka <88374338+shreyas-goenka@users.noreply.github.com>
## Changes
This change adds a preset for source-linked deployments. It is enabled
by default for targets in `development` mode **if** the Databricks CLI
is running from the `/Workspace` directory on DBR. It does not have an
effect when running the CLI anywhere else.
Key highlights:
1. Files in this mode won't be uploaded to workspace
2. Created resources will use references to source files instead of
their workspace copies
## Tests
1. Apply preset unit test covering conditional logic
2. High-level process target mode unit test for testing integration
between mutators
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
When running the CLI on Databricks Runtime (DBR), use the
extension-aware filer to write an instantiated template if the instance
path is located in the workspace filesystem.
Notebooks cannot be written through the workspace filesystem's FUSE
mount. As a result, this is the only method for initializing templates
that contain notebooks when running the CLI on DBR and writing to the
workspace filesystem.
Depends on #1910 and #1911.
Supersedes #1744.
## Tests
* Manually confirmed I can initialize a template with notebooks when
running the CLI from the web terminal.
## Changes
Prior to this change, the output directory was part of the `renderer`
type and passed down to every `file` it produced. Every file knew its
absolute destination path. This is incompatible with the use of a filer,
where all operations are automatically anchored to some base path.
To make this compatible, this change updates:
* the `file` type to only know its own path relative to the instantiation root,
* the `renderer` type to no longer require or pass along the output directory,
* the `persistToDisk` function to take a context and filer argument,
* the `filer.WriteMode` to represent permission bits
## Tests
* Existing tests pass.
* Manually confirmed template initialization works as expected.
## Changes
While working on the v2 of #1744, I found that:
* Template initialization first copies built-in templates to a temporary
directory before initializing them
* Reading a template's contents goes through a `filer.Filer` but is
hardcoded to a local one
This change updates the interface for reading templates to be `fs.FS`.
This is compatible with the `embed.FS` type for the built-in templates,
so they no longer have to be copied to a temporary directory before
being used.
The alternative is to use a `filer.Filer` throughout, but this would
have required even more plumbing, and we don't need to _read_ templates,
including notebooks, from the workspace filesystem (yet?).
As part of making `template.Materialize` take an `fs.FS` argument, the
logic to match a given argument to a particular built-in template in the
`init` command has moved to sit next to its implementation.
## Tests
Existing tests pass.
## Changes
The workspace extensions filer should not read or stat a notebook called
`foo` if the user calls `.Stat(ctx, "foo")`.
Instead, the filer should return a file not found error. This is because
the contract for the workspace extensions filer is to only work for
notebooks when the file path / name includes the extension (example:
`foo.ipynb` or `foo.sql` instead of just `foo`)
## Tests
Integration tests.
## Changes
We had a number of copies of test helpers for `io/fs` in the repository.
This change consolidates all of them to use the `libs/fakefs` package.
## Tests
Unit tests pass.
## Changes
This field was special-cased in #1307 because it's not part of the JSON
payload in the SDK struct.
This approach, while pragmatic, meant it didn't show up in the JSON
schema. While debugging an issue with quality monitors in #1900, I
couldn't figure out why I was getting schema errors on this field, or
how it was passed through to the TF representation. This commit removes
the special case and makes it behave like everything else.
## Tests
* Unit tests pass.
* Confirmed that the updated schema failed validation before this
change.
## Changes
Whether or not the CLI is running on DBR can be detected once and stored
in the command's context.
By storing it in the context, it can easily be mocked for testing.
This builds on the simpler approach and conversation in #1744. It
unblocks testing of the DBR-specific paths while not compromising on the
checks we can perform to test if the CLI is running on DBR.
## Tests
* Unit tests for the new `dbr` package
* New unit test for the `ConfigureWSFS` mutator
## Changes
### Background
The workspace import APIs recently added support for importing Jupyter
notebooks written in R, Scala, or SQL, that is non-Python notebooks.
This now works for the `/import-file` API which we leverage in the CLI.
Note: We do not need any changes in `databricks sync`. It works out of
the box because any state mapping of local names to remote names that we
store is only scoped to the notebook extension (i.e., `.ipynb` in this
case) and is agnostic of the notebook's specific language.
### Problem this PR addresses
The extension-aware filer previously did not function because it checks
that a `.ipynb` notebook is written in Python. This PR relaxes that
constraint and adds integration tests for both the normal workspace
filer and extensions aware filer writing and reading non-Python `.ipynb`
notebooks.
This implies that after this PR DABs in the workspace / CLI from DBR
will work for non-Python notebooks as well. non-Python notebooks for
DABs deployment from local machines already works after the platform
side changes to the API landed, this PR just adds integration tests for
that bit of functionality.
Note: Any platform side changes we needed for the import API have
already been rolled out to production.
### Before
DABs deploy would work fine for non-Python notebooks. But DABs
deployments from DBR would not.
### After
DABs deploys both from local machines and DBR will work fine.
## Testing
For creating the `.ipynb` notebook fixtures used in the integration
tests I created them directly from the VSCode UI. This ensures high
fidelity with how users will create their non-Python notebooks locally.
For Python notebooks this is supported out of the box by VSCode but for
R and Scala notebooks this requires installing the Jupyter kernel for R
and Scala on my local machine and using that from VSCode.
For SQL, I ended up directly modifying the `language_info` field in the
Jupyter metadata to create the test fixture.
### Discussion: Issues with configuring language at the cell level
The language metadata for a Jupyter notebook is standardized at the
notebook level (in the `language_info` field). Unfortunately, it's not
standardized at the cell level. Thus, for example, if a user changes the
language for their cell in VSCode (which is supported by the standard
Jupyter VSCode integration), it'll cause a runtime error when the user
actually attempts to run the notebook. This is because the cell-level
metadata is encoded in a format specific to VSCode:
```
cells: []{
"vscode": {
"languageId": "sql"
}
}
```
Supporting cell level languages is thus out of scope for this PR and can
be revisited along with the workspace files team if there's strong
customer interest.
Known issues:
- [ ] _(non-blocking with a command override)_ `apps.Update` requires 2
`name` params (one from path, one from request body)
- [ ] _(non-blocking)_ `lakeview.Create` does not require positional
argument `display_name` anymore because it's not marked as required in
request body
Bumps
[github.com/databricks/databricks-sdk-go](https://github.com/databricks/databricks-sdk-go)
from 0.49.0 to 0.51.0.
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Co-authored-by: Andrew Nester <andrew.nester@databricks.com>
Bumps [golang.org/x/oauth2](https://github.com/golang/oauth2) from
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## Changes
The host URL for databricks workspaces includes the workspaceId by
default as a positional arg. Eg:
https://e2-dogfood.staging.cloud.databricks.com/?o=1234
Thus a user can't simply copy paste the URL today to the auth login
command. They'll see a runtime error:
```
➜ cli git:(main) ✗ databricks auth login --host https://e2-dogfood.staging.cloud.databricks.com/\?o\=xxx --profile new-dg
Error: oidc: fetch .well-known: failed to unmarshal response body: invalid character '<' looking for beginning of value. This is likely a bug in the Databricks SDK for Go or the underlying REST API. Please report this issue with the following debugging information to the SDK issue tracker at https://github.com/databricks/databricks-sdk-go/issues. Request log:
GET /login.html
...
```
## Tests
Unit tests and manually. Now auth login works even when the workspace_id
is included in the URL.
## Changes
The file presence check for dashboard files was missing a
`filepath.ToSlash`.
This means it didn't work on Windows unless the dashboard was located at
a path without slashes (i.e. the bundle root).
Closes#1875.
## Tests
* Added a unit test to cover this case (failed before the fix).
* Manually ran a dashboard deployment on Windows.
## Changes
The commit where resource lookup was factored out into a separate
package (#1858) didn't take into account the use of `args` further down
in the code.
This change fixes that oversight by returning the tail arguments when
determining which resource to run. The later call no longer has to index
the `args` slice.
## Tests
Manually confirmed that the command works when being prompted for the
resource to run.
## Changes
Added E2E test to run python wheels on interactive cluster created in
bundle.
We had a gap in testing wheel on all purpose clusters, so this PR
addresses the gap
## Changes
This PR adds the `cmd-exec-id` field to the user agent. This allows us
to correlate multiple HTTP requests made from the CLI.
### Why Not Use HTTP traceparent?
We considered using the traceparent header in HTTP as an alternative,
but it's not a good fit for our use case. Here's why:
1. Purpose of traceparent: It's designed to trace a single HTTP request
across a distributed system as it moves through subsystems and proxies.
2. Our requirement: We need to trace multiple HTTP requests made during
a single command execution in the CLI.
For more details about how traceparent itself works and how it's used in
the Go SDK, see
https://github.com/databricks/databricks-sdk-go/pull/914.
## Tests
Unit test
## Changes
Old script could not be run from master due to security restrictions and
there is no reliable way to detect if a user as secrets.
## Tests
Opened a PR in SDK Java from fork
https://github.com/databricks/databricks-sdk-java/pull/375
## Changes
This was released 2+ months ago so it has baked enough.
Blog post: https://go.dev/blog/go1.23.
## Tests
None other than unit and integration tests.
This patch release fixes the following error observed when deploying to
/Shared root folder
"Error: Path (/Shared/.bundle/.../resources) doesn't exist"
Bundles:
* Fixed adding /Workspace prefix for resource paths
([#1866](https://github.com/databricks/cli/pull/1866)).
## Changes
This package can be used to marshal a `dyn.Value` as JSON and retain the
ordering of keys in a mapping. Unlike the default behavior of
`json.Marshal,` the output does not encode HTML characters.
Otherwise, this is no different from using `JSON.Marshal` with
`v.AsAny().`
## Tests
Unit tests.
## Changes
This change adds the `databricks bundle generate dashboard` command.
The command requires one of three flags:
* `--existing-id` to generate configuration for an existing dashboard by
its ID.
* `--existing-path` to generate configuration for an existing dashboard
by its path in the workspace file system.
* `--resource` to generate the `.lvdash.json` dashboard file for a
dashboard that's already defined in the bundle. This option does not
impact the YAML configuration.
A typical workflow could look like this:
1. Use the command with `--existing-id` or `--existing-path` for a
starting point
2. Run `bundle deploy` to deploy a copy of the dashboard
3. Run `bundle open` to open this copy in your browser
4. Navigate to the draft mode and make modifications
5. Run `bundle generate dashboard` with `--resource` to update the local
`.lvdash.json` file with the remote modifications
## Tests
* Unit tests.
* Manual walkthrough as documented in the [Dashboard for NYC Taxi Trip
Analysis
example](https://github.com/databricks/bundle-examples/tree/main/knowledge_base/dashboard_nyc_taxi).
Bumps [github.com/fatih/color](https://github.com/fatih/color) from
1.17.0 to 1.18.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/fatih/color/releases">github.com/fatih/color's
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<blockquote>
<h2>v1.18.0</h2>
<h2>What's Changed</h2>
<ul>
<li>Add RGB API support by <a
href="https://github.com/fatih"><code>@fatih</code></a> in <a
href="https://redirect.github.com/fatih/color/pull/225">fatih/color#225</a></li>
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href="https://github.com/fatih/color/compare/v1.17.0...v1.18.0">https://github.com/fatih/color/compare/v1.17.0...v1.18.0</a></p>
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Add RGB API support</li>
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Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
## Changes
Adding this notice allows us to collect telemetry for the CLI from the
next CLI version onwards.
---------
Co-authored-by: Julia Crawford (Databricks) <julia.crawford@databricks.com>
## Changes
Automatically trigger integration tests when a PR is opened or updated
## Tests
Workflow below.
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
As of #1846 we have a generalized package for doing resource lookups and
completion.
This change updates the run command to use this instead of more specific
code under `bundle/run`.
## Tests
* Unit tests pass
* Manually confirmed that completion and prompting works
## Changes
This validator checks permissions defined in top-level bundle config and
permissions set in workspace for the folders bundle is deployed to. It
raises the warning if the permissions defined in the workspace are not
defined in bundle.
This validator is executed only during `bundle validate` command.
## Tests
```
Warning: untracked permissions apply to target workspace path
The following permissions apply to the workspace folder at "/Workspace/Users/andrew.nester@databricks.com/.bundle/clusters/default" but are not configured in the bundle:
- level: CAN_MANAGE, user_name: andrew.nester@databricks.com
```
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
This builds on the functionality added in #1731 that produces a URL for
every resource.
Adds `bundle/resources` package to deal with resource lookups and
command completion. The new functionality is similar to the lookup and
command completion functionality located in `bundle/run`. It differs in
that it doesn't gracefully deal with ambiguous references to resources,
now that we explicitly validate this doesn't occur in the bundle
configuration. It still allows resources to be looked up with their
fully qualified key, `<plural type>.<key>`.
## Tests
* Added unit tests for resource lookup and completion
* Manually confirmed that `bundle open` prompts, accepts a key argument,
and opens a browser
## Changes
Test failures indicate that both stdout and stderr are consumed, yet the
content of stdout doesn't end up in the intended output. This can happen
if the goroutines responsible for writing to the combined output buffer
attempt to write to the same underlying buffer concurrently.
Example failure:
```
=== RUN TestBackgroundCombinedOutput
background_test.go:65:
Error Trace: D:/a/cli/cli/libs/process/background_test.go:65
Error: elements differ
extra elements in list A:
([]interface {}) (len=1) {
(string) (len=1) "2"
}
listA:
([]string) (len=2) {
(string) (len=1) "1",
(string) (len=1) "2"
}
listB:
([]string) (len=1) {
(string) (len=1) "1"
}
Test: TestBackgroundCombinedOutput
```
With the test body:
ca45e53f42/libs/process/background_test.go (L48-L66)
With the implementation of `WithCombinedOutput`:
ca45e53f42/libs/process/opts.go (L72-L78)
Notice that `c.Stdout` does get the "2", or the test failure would have
included the relevant assertion error. This leads me to believe that
there is a race on writing to `buf` from the two goroutines writing to
`c.Stdout` and `c.Stderr`.
## Tests
The test passes. If this PR has the intended effect remains to be
seen...
## Changes
We want to use 'bundle sync' in the vscode extension before running a
file as an ad-hoc job (or through the context api). Right now we use
bundle deploy in these cases, but deploying bundle resources is not
always expected when you just want to quickly run a file. Sync makes
more sense in these cases, but we still want to have verbose output to
see what's happening.
In the 'deploy' command we have hidden 'verbose' flag. For the sync I've
just added 'output' flag, handling both json and text cases, similar to
how it's done in the non-bundle `sync` command. The flag is not hidden
(although we still don't show any output by default, if the flag is not
set).
VSCode Extension PR:
https://github.com/databricks/databricks-vscode/pull/1401
## Tests
Manually
Change the default-python template to not set the `catalog` field for
the pipeline for workspaces that set `hive_metastore` as the default
catalog. The Pipelines service currently returns an error when that
value is used for the `catalog` field.
This is the most simple fix for this issue, which was reported by a
customer. As a followup, we should look at whether we want to prompt for
a catalog instead, possibly just for this specific scenario.
## Changes
We don't need to cancel existing runs when the job is continuous and
unpaused. The `/jobs/run-now` command will cancel the existing run and
trigger a new one automatically.
Cancelling the job manually can cause a race condition where both the
manual trigger from the CLI and the continuous trigger from the job
configuration happens at the same time. This PR prevents that from
happening.
## Tests
Unit tests and manually
Andrew Nester
Ilya Kuznetsov
Pieter Noordhuis
shreyas-goenka
dependabot[bot]
hectorcast-db
Ilia Babanov
Lennart Kats (databricks)