## Changes
We want to encourage a pattern of only specifying a single resource in a
YAML file when an `.<resource-type>.yml` (like `.job.yml`) is used. This
convention could allow us to bijectively map a resource YAML file to
it's corresponding resource in the Databricks workspace.
This PR simply makes the built-in templates compliant to this format.
## Tests
Existing tests.
## Changes
- Extract sync output logic from `cmd/sync` into `lib/sync`
- Add hidden `verbose` flag to the `bundle deploy` command, it's false
by default and hidden from the `--help` output
- Pass output handler to the `deploy/files/upload` mutator if the
verbose option is true
The was an idea to use in-place output overriding each past file sync
event in the output, bit that wont work for the extension, since it
doesn't display deploy logs in the terminal.
Example output:
```
~/tmp/defpy: ~/cli/cli bundle deploy --sync-progress
Building defpy...
Uploading defpy-0.0.1+20240917.112755-py3-none-any.whl...
Uploading bundle files to /Users/ilia.babanov@databricks.com/.bundle/defpy/dev/files...
Action: PUT: requirements-dev.txt, resources/defpy_pipeline.yml, pytest.ini, src/defpy/main.py, src/defpy/__init__.py, src/dlt_pipeline.ipynb, tests/main_test.py, src/notebook.ipynb, setup.py, resources/defpy_job.yml, .vscode/extensions.json, .vscode/settings.json, fixtures/.gitkeep, .vscode/__builtins__.pyi, README.md, .gitignore, databricks.yml
Uploaded tests
Uploaded resources
Uploaded fixtures
Uploaded .vscode
Uploaded src/defpy
Uploaded requirements-dev.txt
Uploaded .gitignore
Uploaded fixtures/.gitkeep
Uploaded src/defpy/__init__.py
Uploaded databricks.yml
Uploaded README.md
Uploaded setup.py
Uploaded .vscode/__builtins__.pyi
Uploaded .vscode/extensions.json
Uploaded src/dlt_pipeline.ipynb
Uploaded .vscode/settings.json
Uploaded resources/defpy_job.yml
Uploaded pytest.ini
Uploaded src/defpy/main.py
Uploaded tests/main_test.py
Uploaded resources/defpy_pipeline.yml
Uploaded src/notebook.ipynb
Initial Sync Complete
Deploying resources...
Updating deployment state...
Deployment complete!
```
Output example in the extension:
<img width="1843" alt="Screenshot 2024-09-19 at 11 07 48"
src="https://github.com/user-attachments/assets/0fafd095-cdc6-44b8-b482-27a38ada0330">
## Tests
Manually for the `sync` and `bundle deploy` commands + vscode extension
sync and deploy flows
## Summary
Enables Unity Catalog for pipelines in the default template. Pipelines
will default to non-Unity Catalog pipelines if a catalog is not
specified.
*Small caveat*: there are cases where admins lock down the default
catalog of a workspace and don't allow the creation of a new schema
there. If that happens, the pipeline would fail at runtime with a clear
error indicating what happened. ("PERMISSION_DENIED: User does not have
CREATE SCHEMA on Catalog 'main'."). I've seen this with an internal
Databricks workspace, where creating new non-UC schemas wasn't locked
down, but creation in the `main` was.
## Testing
- Validated on a non-UC + UC workspace. The catalog selection logic here
is the same as applied for the SQL templates.
## Summary
Use the friendly name of service principals when shortening their name.
This change is helpful for the prefix in development mode. Instead of
adding a prefix like `[dev 1706906c-c0a2-4c25-9f57-3a7aa3cb8123]`, we'll
prefix like `[dev my_principal]`.
## Summary
Simplifies template by using the periodic trigger syntax instead of the
cron schedule syntax. Periodic triggers are simpler to configure,
simpler to read, and make sure that workloads are spread out through the
day. We only recommend cron syntax for advanced cases or when more
control is needed.
## Testing
* Templates validation via unit tests
* Manual validation that the new triggers work as expected in dev/prod
## Changes
This PR makes sweeping changes to the way we generate and test the
bundle JSON schema. The main benefits are:
1. More modular JSON schema. Every definition in the schema now is one
level deep and points to references instead of inlining the entire
schema for a field. This unblocks PyDABs from taking a dependency on the
JSON schema.
2. Generate the JSON schema during CLI code generation. Directly stream
it instead of computing it at runtime whenever a user calls `databricks
bundle schema`. This is nice because we no longer need to embed a
partial OpenAPI spec in the CLI. Down the line, we can add a `Schema()`
method to every struct in the Databricks Go SDK and remove the
dependency on the OpenAPI spec altogether. It'll become more important
once we decouple Go SDK structs and methods from the underlying APIs.
3. Add enum values for Go SDK fields in the JSON schema. Better
autocompletion and validation for these fields. As a follow-up, we can
add enum values for non-Go SDK enums as well (created internal ticket to
track).
4. Use "packageName.structName" as a key to read JSON schemas from the
OpenAPI spec for Go SDK structs. Before, we would use an unrolled
presentation of the JSON schema (stored in `bundle_descriptions.json`),
which was complex to parse and include in the final JSON schema output.
This also means loading values from the OpenAPI spec for `target` schema
works automatically and no longer needs custom code.
5. Support recursive types (eg: `for_each_task`). With us now using
$refs everywhere it's trivial to support.
6. Using complex variables would be invalid according to the schema
generated before this PR. Now that bug is fixed. In the future adding
more custom rules will be easier as well due to the single level nature
of the JSON schema.
Since this is a complete change of approach in how we generate the JSON
schema, there are a few (very minor) regressions worth calling out.
1. We'll lose a few custom descriptions for non Go SDK structs that were
a part of `bundle_descriptions.json`. Support for those can be added in
the future as a followup.
2. Since now the final JSON schema is a static artefact, we lose some
lead time for the signal that JSON schema integration tests are failing.
It's okay though since we have a lot of coverage via the existing unit
tests.
## Tests
Unit tests. End to end tests are being added in this PR:
https://github.com/databricks/cli/pull/1726
Previous unit tests were all deleted because they were bloated. Effort
was made to make the new unit tests provide (almost) equivalent
coverage.
## Changes
Some call sites hold on to the `dyn.Path` provided to them by the
callback. It must therefore never be mutated after the callback returns,
or these mutations leak out into unknown scope.
This change means it is no longer possible for this failure mode to
happen.
## Tests
Unit test.
## Changes
This updates the templates to include a `permissions` section. Having a
permissions section is a best practice, is helpful to understand the
notion of permissions, and helps diagnose permission errors
(https://github.com/databricks/cli/pull/1386).
This is a cherry-pick from https://github.com/databricks/cli/pull/1387.
This change was verified to work both in dev and prod. Existing unit
tests validate the validity of the templates in these modes.
## Changes
If not explicitly quoted, the YAML loader interprets a value like
`2024-08-29` as a timestamp. Such a value is usually intended to be a
string instead. Our normalization logic was not able to turn a time
value back into the original string.
This change boxes the time value to include its original string
representation. Normalization of one of these values into a string can
now use the original input value.
## Tests
Unit tests in `libs/dyn/convert`.
## Changes
`TestAccFilerWorkspaceFilesExtensionsErrorsOnDupName` recently started
failing in our nightlies because the upstream `import` API was changed
to [prohibit conflicting file
paths](https://docs.databricks.com/en/release-notes/product/2024/august.html#files-can-no-longer-have-identical-names-in-workspace-folders).
Because existing conflicting file paths can still be grandfathered in,
we need to retain coverage for the test. To do this, this PR:
1. Removes the failing
`TestAccFilerWorkspaceFilesExtensionsErrorsOnDupName`
2. Add an equivalent unit test with the `list` and `get-status` API
calls mocked.
## Changes
Make `pydabs/venv_path` optional. When not specified, CLI detects the
Python interpreter using `python.DetectExecutable`, the same way as for
`artifacts`. `python.DetectExecutable` works correctly if a virtual
environment is activated or `python3` is available on PATH through other
means.
Extract the venv detection code from PyDABs into `libs/python/detect`.
This code will be used when we implement the `python/venv_path` section
in `databricks.yml`.
## Tests
Unit tests and manually
---------
Co-authored-by: Pieter Noordhuis <pcnoordhuis@gmail.com>
## Changes
Before this change, the fileset library would take a single root path
and list all files in it. To support an allowlist of paths to list (much
like a Git `pathspec` without patterns; see [pathspec](pathspec)), this
change introduces an optional argument to `fileset.New` where the caller
can specify paths to list. If not specified, this argument defaults to
list `.` (i.e. list all files in the root).
The motivation for this change is that we wish to expose this pattern in
bundles. Users should be able to specify which paths to synchronize
instead of always only synchronizing the bundle root directory.
[pathspec]:
https://git-scm.com/docs/gitglossary#Documentation/gitglossary.txt-aiddefpathspecapathspec
## Tests
New and existing unit tests.
## Changes
In https://github.com/databricks/cli/pull/1202 the semantics of
`cmdio.RenderJson` was changes to always render the JSON object. Before
we would only render it if `--output json` was specified.
This PR fixes the logs to print human-readable log lines instead of a
JSON object.
This PR also removes the now unused `cmdio.Render` method.
## Tests
Manually:
```
➜ bundle-playground git:(master) ✗ cli workspace import-dir ./tmp /Users/shreyas.goenka@databricks.com/test-import-1 -p aws-prod-ucws
Importing files from ./tmp
a -> /Users/shreyas.goenka@databricks.com/test-import-1/a
Import complete. The files are available at /Users/shreyas.goenka@databricks.com/test-import-1
```
```
➜ bundle-playground git:(master) ✗ cli workspace export-dir /Users/shreyas.goenka@databricks.com/test-export-1 ./tmp-2 -p aws-prod-ucws
Exporting files from /Users/shreyas.goenka@databricks.com/test-export-1
/Users/shreyas.goenka@databricks.com/test-export-1/b -> tmp-2/b
Exported complete. The files are available at ./tmp-2
```
## Changes
The `auth login` command today prefers a host URL specified in a profile
before selecting the one explicitly provided by a user as a command line
argument.
This PR fixes this bug and refactors the code to make it more linear and
easy to read. Note that the same issue exists in the `auth token`
command and is fixed here as well.
## Tests
Unit tests, and manual testing.
## Changes
Since locations are already tracked in the dynamic value tree, we no
longer need to track it at the resource/artifact level. This PR:
1. Removes use of `paths.Paths`. Uses dyn.Location instead.
2. Refactors the validation of resources not being empty valued to be
generic across all resource types.
## Tests
Existing unit tests.
## Changes
While investigating #1629, I found that Go doesn't allow characters
outside the set documented at
https://pkg.go.dev/golang.org/x/mod/module#CheckFilePath.
To fix this, I changed the relevant test case to create the fixtures it
needs instead of loading it from the `testdata` directory (in
`renderer_test.go`).
Some test cases in `config_test.go` depended on templated paths without
needing to do so. In the process of fixing this, I refactored these
tests slightly to reduce dependencies between them.
This change also adds a test case to ensure that all files in the
repository are allowed to be part of a module (per the earlier
`CheckFilePath` function).
Fixes#1629.
## Tests
I manually confirmed I could import the repository as a Go module.
## Changes
This PR adds autocomplete for cat, cp, ls, mkdir and rm.
The new completer can do completion for any `Filer`. The command
completion for the `sync` command can be moved to use this general
completer as a follow-up.
## Tests
- Tested manually against a workspace
- Unit tests
## Changes
This PR:
1. Uses dynamic walking (via the `dyn.MapByPattern` func) to validate no
two resources have the same resource key. The allows us to remove this
validation at merge time.
2. Modifies `dyn.Mapping` to always return a sorted slice of pairs. This
makes traversal functions like `dyn.Walk` or `dyn.MapByPattern`
deterministic.
## Tests
Unit tests. Also manually.
## Changes
Some diagnostics can have multiple paths associated with them. For
instance, ensuring that unique resource keys are used across all
resources. This PR extends `diag.Diagnostic` to accept multiple paths.
This PR is symmetrical to
https://github.com/databricks/cli/pull/1610/files
## Tests
Unit tests
## Changes
Right now we ask users for two confirmations when destroying a bundle.
One to destroy the resources and one to delete the files. This PR
consolidates the two prompts into one.
## Tests
Manually
Destroying a bundle with no resources:
```
➜ bundle-playground git:(master) ✗ cli bundle destroy
All files and directories at the following location will be deleted: /Users/shreyas.goenka@databricks.com/.bundle/bundle-playground/default
Would you like to proceed? [y/n]: y
No resources to destroy
Updating deployment state...
Deleting files...
Destroy complete!
```
Destroying a bundle with no remote state:
```
➜ bundle-playground git:(master) ✗ cli bundle destroy
No active deployment found to destroy!
```
When a user cancells a deployment:
```
➜ bundle-playground git:(master) ✗ cli bundle destroy
The following resources will be deleted:
delete job job_1
delete job job_2
delete pipeline foo
All files and directories at the following location will be deleted: /Users/shreyas.goenka@databricks.com/.bundle/bundle-playground/default
Would you like to proceed? [y/n]: n
Destroy cancelled!
```
When a user destroys resources:
```
➜ bundle-playground git:(master) ✗ cli bundle destroy
The following resources will be deleted:
delete job job_1
delete job job_2
delete pipeline foo
All files and directories at the following location will be deleted: /Users/shreyas.goenka@databricks.com/.bundle/bundle-playground/default
Would you like to proceed? [y/n]: y
Updating deployment state...
Deleting files...
Destroy complete!
```
## Changes
This PR changes `diag.Diagnostics` to allow including multiple locations
associated with the diagnostic message. The diagnostics that now return
multiple locations with this PR are:
1. Warning for unknown keys in config.
2. Use of experimental.run_as
3. Accidental sync.exludes that exclude all files.
## Tests
Existing unit tests pass. New unit test case to assert on error message
when multiple locations are included.
Example output:
```
➜ bundle-playground-2 ~/cli2/cli/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 resources.yml:10:22
databricks.yml:13:22
Name: fix run_if
Target: default
Workspace:
User: shreyas.goenka@databricks.com
Path: /Users/shreyas.goenka@databricks.com/.bundle/fix run_if/default
Found 1 warning
```
## Changes
Add support for google/uuid.New() to DAB templates.
This is needed to generate UUIDs in downstream templates like MLOps
Stacks.
## Tests
Unit tests.
## Changes
By default, construct a read/write instance. If constructed in read-only
mode, the underlying filer is wrapped in a readahead cache.
## Tests
* Filer integration tests pass.
* Manual test that caching is enabled when running on WSFS.
## Changes
The reason this readahead cache exists is that we frequently need to
recursively find all files in the bundle root directory, especially for
sync include and exclude processing. By caching the response for every
file/directory and frontloading the latency cost of these calls, we
significantly improve performance and eliminate redundant operations.
## Tests
* [ ] Working on unit tests
## Changes
This PR fixes a performance bug that led downloaded files (e.g. with
`databricks fs cp dbfs:/Volumes/.../somefile .`) to be buffered in
memory before being written.
Results from profiling the download of a ~100MB file:
Before:
```
Type: alloc_space
Showing nodes accounting for 374.02MB, 98.50% of 379.74MB total
```
After:
```
Type: alloc_space
Showing nodes accounting for 3748.67kB, 100% of 3748.67kB total
```
Note that this fix is temporary. A longer term solution should be to use
the API provided by the Go SDK rather than making an HTTP request
directly from the CLI.
fix#1575
## Tests
Verified that the CLI properly download the file when doing the
profiling.
## Changes
This PR changes the location metadata associated with a `dyn.Value` to a
slice of locations. This will allow us to keep track of location
metadata across merges and overrides.
The convention is to treat the first location in the slice as the
primary location. Also, the semantics are the same as before if there's
only one location associated with a value, that is:
1. For complex values (maps, sequences) the location of the v1 is
primary in Merge(v1, v2)
2. For primitive values the location of v2 is primary in Merge(v1, v2)
## Tests
Modifying existing merge unit tests. Other existing unit tests and
integration tests pass.
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
If we're using a `vfs.Path` backed by a workspace filesystem filer, we
have access to the `workspace.ObjectInfo` value for every file. By
providing access to this value we can use it directly and avoid reading
the first line of the underlying file.
A follow-up change will implement the interface defined in this change
for the workspace filesystem filer.
## Tests
Unit tests.
## Changes
This consolidates the two separate status calls into one.
The extension-aware filer now doesn't need the direct API client anymore
and fully relies on the underlying filer.
## Tests
* Unit tests.
* Ran the filer integration tests manually.
## Changes
The FUSE mount of the workspace file system on DBR doesn't include file
extensions for notebooks. When these notebooks are checked into a
repository, they do have an extension. PR #1457 added a filer type that
is aware of this disparity and makes these notebooks show up as if they
do have these extensions.
This change swaps out the native `vfs.Path` with one that uses this
filer when running on DBR.
Follow up: consolidate between interfaces exported by `filer.Filer` and
`vfs.Path`.
## Tests
* Unit tests pass
* (Manually ran a snapshot build on DBR against a bundle with notebooks)
---------
Co-authored-by: Andrew Nester <andrew.nester@databricks.com>
## Changes
PyDABs output can omit empty sequences/mappings because we don't track
them as optional. There is no semantic difference between empty and
missing, which makes omitting correct. CLI detects that we falsely
modify input resources by deleting all empty collections.
To handle that, we extend `dyn.Override` to allow visitors to ignore
certain deletes. If we see that an empty sequence or mapping is deleted,
we revert such delete.
## Tests
Unit tests
---------
Co-authored-by: Pieter Noordhuis <pcnoordhuis@gmail.com>
## Changes
The map function ignores cases where either a key in a map is not
present or an index in a sequence is out of bounds. As of recently, we
retain nil values as valid values in a configuration tree. As such, it
makes sense to also ignore cases where a map or sequence is expected but
nil is found. This is semantically no different from an empty map where
a key is not found.
Without this fix, all calls to `dyn.Map` would need to be updated with
nil-checks at every path component.
Related PRs:
* #1507
* #1511
## Tests
Unit tests pass.
## Changes
Hello Team,
While tinkering with your solution, I've noticed that profiles provided
in dbt_project.yml and profiles.yml for generated dbt asset bundles. do
not align. This led to the following error, when deploying DAB:
```
+ dbt deps --target=dev
11:24:02 Running with dbt=1.8.2
11:24:02 Warning: No packages were found in packages.yml
11:24:02 Warning: No packages were found in packages.yml
+ dbt seed --target=dev --vars '{ dev_schema: mateusz_kijewski }'
11:24:05 Running with dbt=1.8.2
11:24:05 Encountered an error:
Runtime Error
Could not find profile named 'dbt_sql'
```
I have corrected profile name in profiles.yml.tmpl to the name used in
dbt_project.yml.tmpl. Using the opportunity of forking your repo, I've
also updated tests configuration in model config as starting of dbt v1.8
it's been raising warnings of configuration change from tests to
data_tests
```
11:31:34 [WARNING]: Deprecated functionality
The `tests` config has been renamed to `data_tests`. Please see
https://docs.getdbt.com/docs/build/data-tests#new-data_tests-syntax for more
information.
```
## Tests
<!-- How is this tested? -->
## Changes
This PR makes two changes:
1. In https://github.com/databricks/cli/pull/1510 we'll be adding
multiple associated location metadata with a dyn.Value. The Go compiler
does not allow comparing structs if they contain slice values
(presumably due to multiple possible definitions for equality). In
anticipation for adding a `[]dyn.Location` type field to `dyn.Value`
this PR removes all direct comparisons of `dyn.Value` and instead relies
on the kind.
2. Retain location metadata for values in convert.FromTyped. The change
diff is exactly the same as https://github.com/databricks/cli/pull/1523.
It's been combined with this PR because they both depend on each other
to prevent test failures (forming a test failure deadlock).
Go patch used:
```
@@
var x expression
@@
-x == dyn.InvalidValue
+x.Kind() == dyn.KindInvalid
@@
var x expression
@@
-x != dyn.InvalidValue
+x.Kind() != dyn.KindInvalid
@@
var x expression
@@
-x == dyn.NilValue
+x.Kind() == dyn.KindNil
@@
var x expression
@@
-x != dyn.NilValue
+x.Kind() != dyn.KindNil
```
## Tests
Unit tests and integration tests pass.
## Changes
Added support for complex variables
Now it's possible to add and use complex variables as shown below
```
bundle:
name: complex-variables
resources:
jobs:
my_job:
job_clusters:
- job_cluster_key: key
new_cluster: ${var.cluster}
tasks:
- task_key: test
job_cluster_key: key
variables:
cluster:
description: "A cluster definition"
type: complex
default:
spark_version: "13.2.x-scala2.11"
node_type_id: "Standard_DS3_v2"
num_workers: 2
spark_conf:
spark.speculation: true
spark.databricks.delta.retentionDurationCheck.enabled: false
```
Fixes#1298
- [x] Support for complex variables
- [x] Allow variable overrides (with shortcut) in targets
- [x] Don't allow to provide complex variables via flag or env variable
- [x] Fail validation if complex value is used but not `type: complex`
provided
- [x] Support using variables inside complex variables
## Tests
Added unit tests
---------
Co-authored-by: shreyas-goenka <88374338+shreyas-goenka@users.noreply.github.com>
## Changes
This reverts commit dac5f09556 (#1523).
Retaining the location for nil values means equality checks no longer
pass.
We need #1520 to be merged first.
## Tests
Integration test `TestAccPythonWheelTaskDeployAndRunWithWrapper`.
## Changes
There are four different treatments location metadata can receive in the
`convert.FromTyped` method.
1. Location metadata is **retained** for maps, structs and slices if the
value is **not nil**
2. Location metadata is **lost** for maps, structs and slices if the
value is **is nil**
3. Location metadata is **retained** if a scalar type (eg. bool, string
etc) does not change.
4. Location metadata is **lost** if the value for a scalar type changes.
This PR ensures that location metadata is not lost in any case; that is,
it's always preserved.
For (2), this serves as a bug fix so that location information is not
lost on conversion to and from typed for nil values of complex types
(struct, slices, and maps).
For (4) this is a change in semantics. For primitive values modified in
a `typed` mutator, any references to `.Location()` for computed
primitive fields will now return associated YAML location metadata (if
any) instead of an empty location.
While arguable, these semantics are OK since:
1. Situations like these will be rare.
2. Knowing the YAML location (if any) is better than not knowing the
location at all. These locations are typically visible to the user in
errors and warnings.
## Tests
Unit tests
## Changes
Not doing this meant file system traversal ended upon reaching a Git
folder. By marking these objects as a directory globbing traverses into
these folders as well.
## Tests
Added a unit test for coverage.
shreyas-goenka
Ilia Babanov
Lennart Kats (databricks)
Andrew Nester
Pieter Noordhuis
Gleb Kanterov
andersrexdb
Arpit Jasapara
Renaud Hartert
kijewskimateusz