## Changes
Correctly use --profile flag passed for all bundle commands.
Also adds a validation that if bundle configured host mismatches
provided profile, it throws an error.
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
Currently, `databricks --profile <TAB>` autocompletes with the shell
default behavior, listing files in the local directory. This is not a
great experience. Especially given that the suggested profile names for
accounts are so long, it can be cumbersome to type them out by hand.
This PR configures autocompletion for `--profile` to inspect the
profiles of ~/.databrickscfg.
One potential improvement is to filter the response based on whether the
command is known to be account-level or workspace-level.
## Tests
Manual test.
<img width="579" alt="Screenshot_11_07_2023__18_31"
src="https://github.com/databricks/cli/assets/1850319/d7a3acd0-2511-45ac-bd82-95567775c10a">
## Changes
Two issues with this command:
* The command line arguments for the secret value were ignored
* If the secret value was piped through stdin, it would still prompt
The second issue prevented users from using multi-line strings because
the prompt reads until end-of-line.
This change adds testing infrastructure for:
* Setting up a workspace focused test (common between many tests)
* Running a snippet of Python through the command execution API
Porting more integration tests to use this infrastructure will be done
in later commits.
## Tests
New integration test passes.
The interactive path cannot be integration tested just yet.
## Changes
Also see #525.
The direct download flag has been removed in newer versions because of
the content type issue.
Instead, we can make the command decode the base64 output when the
output mode is text.
```
$ databricks workspace export /some/path/script.sh
#!/bin/bash
echo "this is a script"
```
## Tests
New integration test.
## Changes
Use the download method from the SDK in the read method for the WSFS
implementation of the filer interface.
Closes#452.
## Tests
Tested by existing integration tests
## Changes
This PR removes the stat call and instead relies on errors returned by
the go SDK to return the appropriate errors
## Tests
Tested using existing filer integration tests
## Tests
New integration test for the read/write parts of the other filers. The
integration test cannot be shared just yet because the Files API doesn't
include support for creating/listing/removing directories yet.
## Changes
The ini library omits the default section header and in doing so breaks
compatibility with Python's config parser. It raises:
```
Error: MissingSectionHeaderError: File contains no section headers.
```
This commit makes sure the DEFAULT section header is included.
If the config file doesn't include a DEFAULT section itself, we include
a comment describing its purpose.
## Tests
New tests pass. Manually confirmed the DEFAULT section header is
included.
---------
Co-authored-by: PaulCornellDB <paul.cornell@databricks.com>
## Changes
Local file reads on Windows require the file handle to be closed after
using it. This commit includes an interface change to return an
`io.ReadCloser` from `Read` to accommodate this.
## Tests
The existing integration tests for the filer interface all pass.
## Changes
This change replaces usage of the `repofiles` package with the `filer`
package to consolidate WSFS code paths.
The `repofiles` package implemented the following behavior. If a file at
`foo/bar.txt` was created and removed, the directory `foo` was kept
around because we do not perform directory tracking. If subsequently, a
file at `foo` was created, it resulted in an `fs.ErrExist` because it is
impossible to overwrite a directory. It would then perform a recursive
delete of the path if this happened and retry the file write.
To make this use case work without resorting to a recursive delete on
conflict, we need to implement directory tracking as part of sync. The
approach in this commit is as follows:
1. Maintain set of directories needed for current set of files. Compare
to previous set of files. This results in mkdir of added directories and
rmdir of removed directories.
2. Creation of new directories should happen prior to writing files.
Otherwise, many file writes may race to create the same parent
directories, resulting in additional API calls. Removal of existing
directories should happen after removing files.
3. Making new directories can be deduped across common prefixes where
only the longest prefix is created recursively.
4. Removing existing directories must happen sequentially, starting with
the longest prefix.
5. Removal of directories is a best effort. It fails only if the
directory is not empty, and if this happens we know something placed a
file or directory manually, outside of sync.
## Tests
* Existing integration tests pass (modified where it used to assert
directories weren't cleaned up)
* New integration test to confirm the inability to remove a directory
doesn't fail the sync run
## Changes
This includes the following changes:
* Move profile loading code to libs/databrickscfg and add tests
* Update prompt label to reflect workspace/account profiles
* Start prompt in search mode by default
* Custom error if `~/.databrickscfg` doesn't exist
* Custom error if `~/.databrickscfg` doesn't contain profiles
* Use stderr for prompt so that stdout redirection works (e.g. with `jq` or `jless`)
## Tests
* New unit tests pass
* Manual tests for both workspace and account commands
* Search-by-default is really nice if you have many profiles
## Changes
This PR:
1. Adds the export-dir command
2. Changes filer.Read to return an error if a user tries to read a
directory
3. Adds returning internal file structures from filer.Stat().Sys()
## Tests
Integration tests and manually
## Changes
This PR adds a new line break to JSON rendering using cmdio. This is
useful when we call `cmdio.Render` multiple times
## Tests
Manually
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
This captures the recursive deletion of a directory tree in the filer interface.
Prompted by #433.
## Tests
Integration tests pass (ran the filer ones on AWS and Azure).
## Changes
This enables the use of `io/fs` functions `fs.Glob` and `fs.WalkDir`
with filers.
We can't use `fs.FS` as the standard interface instead of `filer.Filer` because:
1. It was made for reading from filesystems only, not writing
2. It doesn't take a context for the core functions
Therefore a wrapper will do.
## Tests
* Added unit tests to cover the adapter through a fake filer.
* Manually ran `fs.WalkDir` against both WSFS and DBFS filers.
## Changes
- added saving profile to `~/.databrickscfg` whenever we do `databricks
auth login`.
- we either match profile by account id / canonical host or introduce
the new one from deployment name.
- fail on multiple profiles with matching accounts or workspace hosts.
- overriding `~/.databrickscfg` keeps the (valid) comments, but
reformats the file.
## Tests
<!-- How is this tested? -->
- `make test`
- `go run main.go auth login --account-id XXX --host
https://accounts.cloud.databricks.com/`
- `go run main.go auth token --account-id XXX --host
https://accounts.cloud.databricks.com/`
- `go run main.go auth login --host https://XXX.cloud.databricks.com/`
## Changes
The pattern `errors.Is(err, fs.ErrNotExist)` is common to check for an
error type.
Errors can implement `Is(error) bool` with a custom equivalence checker.
## Tests
New asserts all pass in the integration test.
Adds a DBFS implementation of the `filer.Filer` interface.
The integration tests are reused between the workspace filesystem and
DBFS implementations to ensure identical behavior.
## Changes
Rename all instances of "bricks" to "databricks".
## Tests
* Confirmed the goreleaser build works, uses the correct new binary
name, and produces the right archives.
* Help output is confirmed to be correct.
* Output of `git grep -w bricks` is minimal with a couple changes
remaining for after the repository rename.
## Changes
Added `DeferredMutator` and `bundle.Defer` function which allows to
always execute some mutators either in the end of execution chain or
after error occurs in the middle of execution chain.
Usage as follows:
```
deferredMutator := bundle.Defer([]bundle.Mutator{
lock.Acquire()
transform.DoSomething(),
//...
}, []bundle.Mutator{
lock.Release(),
})
```
In such case `lock.Release()` will always be executed: either when all
operations above succeed or when any of them fails
## Tests
Before the change
```
andrew.nester@HFW9Y94129 multiples-tasks % bricks bundle deploy
Starting upload of bundle files
Uploaded bundle files at /Users/andrew.nester@databricks.com/.bundle/simple-task/development/files!
Error: terraform not initialized
andrew.nester@HFW9Y94129 multiples-tasks % bricks bundle deploy
Error: deploy lock acquired by andrew.nester@databricks.com at 2023-05-10 16:41:22.902659 +0200 CEST. Use --force to override
```
After the change
```
andrew.nester@HFW9Y94129 multiples-tasks % bricks bundle deploy
Starting upload of bundle files
Uploaded bundle files at /Users/andrew.nester@databricks.com/.bundle/simple-task/development/files!
Error: terraform not initialized
andrew.nester@HFW9Y94129 multiples-tasks % bricks bundle deploy
Starting upload of bundle files
Uploaded bundle files at /Users/andrew.nester@databricks.com/.bundle/simple-task/development/files!
Error: terraform not initialized
```
## Changes
This config block contains commit, branch and remote_url which will be
automatically loaded if specified in the repo, and can also be specified
by the user
## Tests
Unit and black-box tests
This PR adds the following command groups:
## Workspace-level command groups
* `bricks alerts` - The alerts API can be used to perform CRUD operations on alerts.
* `bricks catalogs` - A catalog is the first layer of Unity Catalog’s three-level namespace.
* `bricks cluster-policies` - Cluster policy limits the ability to configure clusters based on a set of rules.
* `bricks clusters` - The Clusters API allows you to create, start, edit, list, terminate, and delete clusters.
* `bricks current-user` - This API allows retrieving information about currently authenticated user or service principal.
* `bricks dashboards` - In general, there is little need to modify dashboards using the API.
* `bricks data-sources` - This API is provided to assist you in making new query objects.
* `bricks experiments` - MLflow Experiment tracking.
* `bricks external-locations` - An external location is an object that combines a cloud storage path with a storage credential that authorizes access to the cloud storage path.
* `bricks functions` - Functions implement User-Defined Functions (UDFs) in Unity Catalog.
* `bricks git-credentials` - Registers personal access token for Databricks to do operations on behalf of the user.
* `bricks global-init-scripts` - The Global Init Scripts API enables Workspace administrators to configure global initialization scripts for their workspace.
* `bricks grants` - In Unity Catalog, data is secure by default.
* `bricks groups` - Groups simplify identity management, making it easier to assign access to Databricks Workspace, data, and other securable objects.
* `bricks instance-pools` - Instance Pools API are used to create, edit, delete and list instance pools by using ready-to-use cloud instances which reduces a cluster start and auto-scaling times.
* `bricks instance-profiles` - The Instance Profiles API allows admins to add, list, and remove instance profiles that users can launch clusters with.
* `bricks ip-access-lists` - IP Access List enables admins to configure IP access lists.
* `bricks jobs` - The Jobs API allows you to create, edit, and delete jobs.
* `bricks libraries` - The Libraries API allows you to install and uninstall libraries and get the status of libraries on a cluster.
* `bricks metastores` - A metastore is the top-level container of objects in Unity Catalog.
* `bricks model-registry` - MLflow Model Registry commands.
* `bricks permissions` - Permissions API are used to create read, write, edit, update and manage access for various users on different objects and endpoints.
* `bricks pipelines` - The Delta Live Tables API allows you to create, edit, delete, start, and view details about pipelines.
* `bricks policy-families` - View available policy families.
* `bricks providers` - Databricks Providers REST API.
* `bricks queries` - These endpoints are used for CRUD operations on query definitions.
* `bricks query-history` - Access the history of queries through SQL warehouses.
* `bricks recipient-activation` - Databricks Recipient Activation REST API.
* `bricks recipients` - Databricks Recipients REST API.
* `bricks repos` - The Repos API allows users to manage their git repos.
* `bricks schemas` - A schema (also called a database) is the second layer of Unity Catalog’s three-level namespace.
* `bricks secrets` - The Secrets API allows you to manage secrets, secret scopes, and access permissions.
* `bricks service-principals` - Identities for use with jobs, automated tools, and systems such as scripts, apps, and CI/CD platforms.
* `bricks serving-endpoints` - The Serving Endpoints API allows you to create, update, and delete model serving endpoints.
* `bricks shares` - Databricks Shares REST API.
* `bricks storage-credentials` - A storage credential represents an authentication and authorization mechanism for accessing data stored on your cloud tenant.
* `bricks table-constraints` - Primary key and foreign key constraints encode relationships between fields in tables.
* `bricks tables` - A table resides in the third layer of Unity Catalog’s three-level namespace.
* `bricks token-management` - Enables administrators to get all tokens and delete tokens for other users.
* `bricks tokens` - The Token API allows you to create, list, and revoke tokens that can be used to authenticate and access Databricks REST APIs.
* `bricks users` - User identities recognized by Databricks and represented by email addresses.
* `bricks volumes` - Volumes are a Unity Catalog (UC) capability for accessing, storing, governing, organizing and processing files.
* `bricks warehouses` - A SQL warehouse is a compute resource that lets you run SQL commands on data objects within Databricks SQL.
* `bricks workspace` - The Workspace API allows you to list, import, export, and delete notebooks and folders.
* `bricks workspace-conf` - This API allows updating known workspace settings for advanced users.
## Account-level command groups
* `bricks account billable-usage` - This API allows you to download billable usage logs for the specified account and date range.
* `bricks account budgets` - These APIs manage budget configuration including notifications for exceeding a budget for a period.
* `bricks account credentials` - These APIs manage credential configurations for this workspace.
* `bricks account custom-app-integration` - These APIs enable administrators to manage custom oauth app integrations, which is required for adding/using Custom OAuth App Integration like Tableau Cloud for Databricks in AWS cloud.
* `bricks account encryption-keys` - These APIs manage encryption key configurations for this workspace (optional).
* `bricks account groups` - Groups simplify identity management, making it easier to assign access to Databricks Account, data, and other securable objects.
* `bricks account ip-access-lists` - The Accounts IP Access List API enables account admins to configure IP access lists for access to the account console.
* `bricks account log-delivery` - These APIs manage log delivery configurations for this account.
* `bricks account metastore-assignments` - These APIs manage metastore assignments to a workspace.
* `bricks account metastores` - These APIs manage Unity Catalog metastores for an account.
* `bricks account networks` - These APIs manage network configurations for customer-managed VPCs (optional).
* `bricks account o-auth-enrollment` - These APIs enable administrators to enroll OAuth for their accounts, which is required for adding/using any OAuth published/custom application integration.
* `bricks account private-access` - These APIs manage private access settings for this account.
* `bricks account published-app-integration` - These APIs enable administrators to manage published oauth app integrations, which is required for adding/using Published OAuth App Integration like Tableau Cloud for Databricks in AWS cloud.
* `bricks account service-principals` - Identities for use with jobs, automated tools, and systems such as scripts, apps, and CI/CD platforms.
* `bricks account storage` - These APIs manage storage configurations for this workspace.
* `bricks account storage-credentials` - These APIs manage storage credentials for a particular metastore.
* `bricks account users` - User identities recognized by Databricks and represented by email addresses.
* `bricks account vpc-endpoints` - These APIs manage VPC endpoint configurations for this account.
* `bricks account workspace-assignment` - The Workspace Permission Assignment API allows you to manage workspace permissions for principals in your account.
* `bricks account workspaces` - These APIs manage workspaces for this account.
## Changes
This PR disallows questions in json mode
## Tests
Manually and unit test
```
shreyas.goenka@THW32HFW6T job-output % bricks bundle destroy --progress-format=json
The following resources will be removed:
{
"resource_type": "databricks_job",
"action": "delete",
"resource_name": "foo"
}
Error: question prompts are not supported in json mode
```
## Changes
Adds a IsInplaceSupported() function to the event interface. Any event
that now uses the progress logger has to declare whether they support in
place logging
## Tests
Manually
Andrew Nester
Miles Yucht
Pieter Noordhuis
shreyas-goenka
Serge Smertin
Fabian Jakobs
