## Changes
This is a fundamental change to how we load and process bundle
configuration. We now depend on the configuration being represented as a
`dyn.Value`. This representation is functionally equivalent to Go's
`any` (it is variadic) and allows us to capture metadata associated with
a value, such as where it was defined (e.g. file, line, and column). It
also allows us to represent Go's zero values properly (e.g. empty
string, integer equal to 0, or boolean false).
Using this representation allows us to let the configuration model
deviate from the typed structure we have been relying on so far
(`config.Root`). We need to deviate from these types when using
variables for fields that are not a string themselves. For example,
using `${var.num_workers}` for an integer `workers` field was impossible
until now (though not implemented in this change).
The loader for a `dyn.Value` includes functionality to capture any and
all type mismatches between the user-defined configuration and the
expected types. These mismatches can be surfaced as validation errors in
future PRs.
Given that many mutators expect the typed struct to be the source of
truth, this change converts between the dynamic representation and the
typed representation on mutator entry and exit. Existing mutators can
continue to modify the typed representation and these modifications are
reflected in the dynamic representation (see `MarkMutatorEntry` and
`MarkMutatorExit` in `bundle/config/root.go`).
Required changes included in this change:
* The existing interpolation package is removed in favor of
`libs/dyn/dynvar`.
* Functionality to merge job clusters, job tasks, and pipeline clusters
are now all broken out into their own mutators.
To be implemented later:
* Allow variable references for non-string types.
* Surface diagnostics about the configuration provided by the user in
the validation output.
* Some mutators use a resource's configuration file path to resolve
related relative paths. These depend on `bundle/config/paths.Path` being
set and populated through `ConfigureConfigFilePath`. Instead, they
should interact with the dynamically typed configuration directly. Doing
this also unlocks being able to differentiate different base paths used
within a job (e.g. a task override with a relative path defined in a
directory other than the base job).
## Tests
* Existing unit tests pass (some have been modified to accommodate)
* Integration tests pass
These fields (key and values) needs to be double quoted in order for
yaml loader to read, parse and unmarshal it into Go struct correctly
because these fields are `map[string]string` type.
## Tests
Added regression unit and E2E tests
## Changes
Added `bundle deployment bind` and `unbind` command.
This command allows to bind bundle-defined resources to existing
resources in Databricks workspace so they become DABs-managed.
## Tests
Manually + added E2E test
## Changes
The OpenAPI spec used to generate the CLI doesn't match the version used
for the SDK version that the CLI currently depends on. This PR
regenerates the CLI based on the same version of the OpenAPI spec used
by the SDK on v0.30.1.
## Tests
<!-- How is this tested? -->
## Changes
Added `--restart` flag for `bundle run` command
When running with this flag, `bundle run` will cancel all existing runs
before starting a new one
## Tests
Manually
## Changes
If environment variables related to unified authentication are set and a
user runs `auth profiles`, the environment variables will interfere with
the output. This change only takes profile data into account for the
output.
## Tests
Added a unit test.
## Changes
Aids debugging why `auth profiles` may take longer than expected.
## Tests
Confirmed manually that timing information shows up in the log output.
## Changes
Deploying bundle when there are bundle resources running at the same
time can be disruptive for jobs and pipelines in progress.
With this change during deployment phase (before uploading any
resources) if there is `--fail-if-running` specified DABs will check if
there are any resources running and if so, will fail the deployment
## Tests
Manual + add tests
## Changes
Group bundle run flags by job and pipeline types
## Tests
```
Run a resource (e.g. a job or a pipeline)
Usage:
databricks bundle run [flags] KEY
Job Flags:
--dbt-commands strings A list of commands to execute for jobs with DBT tasks.
--jar-params strings A list of parameters for jobs with Spark JAR tasks.
--notebook-params stringToString A map from keys to values for jobs with notebook tasks. (default [])
--params stringToString comma separated k=v pairs for job parameters (default [])
--pipeline-params stringToString A map from keys to values for jobs with pipeline tasks. (default [])
--python-named-params stringToString A map from keys to values for jobs with Python wheel tasks. (default [])
--python-params strings A list of parameters for jobs with Python tasks.
--spark-submit-params strings A list of parameters for jobs with Spark submit tasks.
--sql-params stringToString A map from keys to values for jobs with SQL tasks. (default [])
Pipeline Flags:
--full-refresh strings List of tables to reset and recompute.
--full-refresh-all Perform a full graph reset and recompute.
--refresh strings List of tables to update.
--refresh-all Perform a full graph update.
Flags:
-h, --help help for run
--no-wait Don't wait for the run to complete.
Global Flags:
--debug enable debug logging
-o, --output type output type: text or json (default text)
-p, --profile string ~/.databrickscfg profile
-t, --target string bundle target to use (if applicable)
--var strings set values for variables defined in bundle config. Example: --var="foo=bar"
```
## Changes
--json flag was removed from this command when MustUseJson / CanUseJson
generator functions were introduced which did not take requests types of
map.
This PR bring the flag back.
Relies on this Go SDK change:
https://github.com/databricks/databricks-sdk-go/pull/786
The plan is to use the new command in the Databricks VSCode extension to
render "modified" UI state in the bundle resource tree elements, plus
use resource IDs to generate links for the resources
### New revision
- Renamed `remote-state` to `summary`
- Added "modified statuses" to all resources. Currently we don't set
"updated" status - it's either nothing, or created/deleted
- Added tests for the `TerraformToBundle` command
## Changes
There's a lot of end-user friction for projects that require
account-level commands. This is mainly related to the fact that, as of
January 2024, workspace administrators do not necessarily have access to
call account-level APIs. Ongoing discussions exist on how to implement
this on a platform level best.
A temporary workaround is creating a dummy ~/.databrickscfg profile with
the `account_id` field, though it doesn't remove the end-user friction.
Hence, we don't require an account profile during installation (anymore)
and just prompt it when the context requires it. This also means that we
always prompt for account-level commands unless users specify a
`--profile` flag.
## Tests
- `go run main.go labs install ucx`, don't see an account profile prompt
- `go run main.go labs ucx sync-workspace-info`, to see a profile prompt
and have a valid auth passed
- `go run main.go labs ucx sync-workspace-info --debug --profile
profile-name` to get a concrete profile passed
## Changes
Now it's possible to generate bundle configuration for existing job.
For now it only supports jobs with notebook tasks.
It will download notebooks referenced in the job tasks and generate
bundle YAML config for this job which can be included in larger bundle.
## Tests
Running command manually
Example of generated config
```
resources:
jobs:
job_128737545467921:
name: Notebook job
format: MULTI_TASK
tasks:
- task_key: as_notebook
existing_cluster_id: 0704-xxxxxx-yyyyyyy
notebook_task:
base_parameters:
bundle_root: /Users/andrew.nester@databricks.com/.bundle/job_with_module_imports/development/files
notebook_path: ./entry_notebook.py
source: WORKSPACE
run_if: ALL_SUCCESS
max_concurrent_runs: 1
```
## Tests
Manual (on our last 100 jobs) + added end-to-end test
```
--- PASS: TestAccGenerateFromExistingJobAndDeploy (50.91s)
PASS
coverage: 61.5% of statements in ./...
ok github.com/databricks/cli/internal/bundle 51.209s coverage: 61.5% of
statements in ./...
```
## Changes
Copying a local file in windows to remote directory in DBFS would fail
if the path was specified as a windows style path (compared to a UNIX
style path). This PR fixes that.
Note, UNIX style paths will continue to work because `filepath.Base`
respects both `/` and `\` as file separators. See: `IsPathSeparator` in
https://go.dev/src/os/path_windows.go.
Fixes issue: https://github.com/databricks/cli/issues/1109.
## Tests
Integration test and manually
```
C:\Users\shreyas.goenka>Desktop\cli.exe fs cp .\Desktop\foo.txt dbfs:/Users/shreyas.goenka@databricks.com
.\Desktop\foo.txt -> dbfs:/Users/shreyas.goenka@databricks.com/foo.txt
C:\Users\shreyas.goenka>Desktop\cli.exe fs cat dbfs:/Users/shreyas.goenka@databricks.com/foo.txt
hello, world
````
## Changes
The JSON logger is excellent as a machine-readable logger with lots of
metadata, but the resulting logs are difficult to read:
<img width="1601" alt="Image_from_Databricks"
src="https://github.com/databricks/cli/assets/1850319/76aa852f-756f-4e0a-bc00-3a6e3224296a">
Currently, we only use the friendly log printer when run from a TTY.
This PR removes that restriction, so logs will be pretty-printed by
default, regardless of TTY or not. If a user needs machine-readable
logs, they can still use `--log-format JSON`.
## Tests
Manual test: `databricks current-user me --debug | cat` uses the
pretty-printing logger.
## Changes
Allow account client auth with environment variables when no
.databrickscfg file present
Makes the behaviour to be in line with WorkspaceClient auth.
## Tests
Added regression test
## Changes
This tweaks the help output shown when using `databricks help`:
* make`jobs` appears under `Workflows` (as done in baseline OpenAPI).
* move `bundle` and `sync` under a new group called `Developer Tools`
(similar to what we have in docs)
* minor wording changes
## Changes
This PR:
1. Move code to load bundle JSON Schema descriptions from the OpenAPI
spec to an internal Go module
2. Remove command line flags from the `bundle schema` command. These
flags were meant for internal processes and at no point were meant for
customer use.
3. Regenerate `bundle_descriptions.json`
4. Add support for `bundle: "deprecated"`. The `environments` field is
tagged as deprecated in this PR and consequently will no longer be a
part of the bundle schema.
## Tests
Tested by regenerating the CLI against its current OpenAPI spec (as
defined in `__openapi_sha`). The `bundle_descriptions.json` in this PR
was generated from the code generator.
Manually checked that the autocompletion / descriptions from the new
bundle schema are correct.
## Changes
It wasn't working because it deferred to the regular `slog.TextHandler`
for the `WithAttr` and `WithGroup` functions. Both of these functions
don't mutate the handler but return a new one. When the top-level logger
called one of these, log records in that context used the standard
handler instead of ours.
To implement tracking of attributes and groups, I followed the guide at
https://github.com/golang/example/blob/master/slog-handler-guide/README.md
for writing custom handlers.
## Tests
The new tests demonstrate formatting through `t.Log` and look good.
## Changes
This PR adds documentation for positional arguments in commands that are
generated from the openapi spec.
Note: the changes to `.gitattributes` will be revert / properly fixed in
https://github.com/databricks/cli/pull/1012
## Changes
Only clusters with their source attribute equal to `UI` or `API` should
be presented in the dropdown.
## Tests
Unit test and manual confirmation.
## Changes
The code included the to-be-created profile in the configuration and
that triggered the SDK to try and load it. Instead, we must use the
specified host and token directly.
## Tests
Manually. More integration test coverage tbd.
## Changes
We didn't return the error upon creating a workspace or account client.
If there is an error, it must always propagate up the stack. The result
of this bug was that we were setting a `nil` account or workspace
client, which in turn caused SIGSEGVs.
Fixes#913.
## Tests
Manually confirmed this fixes the linked issue. The CLI now correctly
returns an error when the client cannot be constructed.
The issue was reproducible using a `.databrickscfg` with a single,
incorrectly configured profile.
## Changes
This makes mlops-stacks more discoverable and makes the UX of
initialising the mlops-stack template better.
## Tests
Manually
Dropdown UI:
```
shreyas.goenka@THW32HFW6T projects % cli bundle init
Template to use:
▸ default-python
mlops-stacks
```
Help message:
```
shreyas.goenka@THW32HFW6T bricks % cli bundle init -h
Initialize using a bundle template.
TEMPLATE_PATH optionally specifies which template to use. It can be one of the following:
- default-python: The default Python template
- mlops-stacks: The Databricks MLOps Stacks template. More information can be found at: https://github.com/databricks/mlops-stacks
```
## Changes
This PR makes changes required to automatically update the bundle docs
during the CLI release process. We rely on `post_generate` scripts that
are executed after code generation with CWD as the CLI repo root.
The new `output-file` flag is introduced because stdout redirect does
not work here and would otherwise require changes to our release
automation CLI (deco CLI)
## Tests
Manually. Regenerated the CLI and the descriptions were indeed generated
for the CLI from the provided openapi spec.
## Changes
This breaks out the flags into a separate struct to make it easier to
pass around.
If specified, the flag calls into the `cfgpicker` to prompt for a
cluster to associated with the profile.
## Tests
Existing tests pass; added one for host validation.
---------
Co-authored-by: Miles Yucht <miles@databricks.com>
## Changes
`databricks configure` creates a new .databrickscfg if one doesn't
already exist, but `databricks auth login` fails in this case. Because
`databricks auth login` anyways writes out the config file, we
gracefully handle this error and continue.
## Tests
Unit test.
```
$ ls ~/.databrickscfg*
/Users/miles/.databrickscfg.bak
$ ./cli auth login
Databricks Profile Name: test
Databricks Host: https://<HOST>
Profile test was successfully saved
$ ls ~/.databrickscfg*
/Users/miles/.databrickscfg /Users/miles/.databrickscfg.bak
$ cat ~/.databrickscfg
; The profile defined in the DEFAULT section is to be used as a fallback when no profile is explicitly specified.
[DEFAULT]
[test]
host = https://<HOST>
auth_type = databricks-cli
```
## Changes
This PR:
1. Renames `FilesPath` -> `FilePath` and `ArtifactsPath` ->
`ArtifactPath` in the bundle and metadata configuration to make them
consistant with the json tags.
2. Fixes development / production mode error messages to point to
`file_path` and `artifact_path`
## Tests
Existing unit tests. This is a strightforward renaming of the fields.
Pieter Noordhuis
Andrew Nester
dependabot[bot]
Miles Yucht
shreyas-goenka
hectorcast-db
Ilia Babanov
Serge Smertin
Lennart Kats (databricks)
Fabian Jakobs