## Changes
```
shreyas.goenka@THW32HFW6T cli % databricks fs -h
Commands to do file system operations on DBFS and UC Volumes.
Usage:
databricks fs [command]
Available Commands:
cat Show file content.
cp Copy files and directories.
ls Lists files.
mkdir Make directories.
rm Remove files and directories.
```
This PR adds support for UC Volumes to the fs commands. The fs commands
for UC volumes work the same as they currently do for DBFS. This is
ensured by running the same test matrix we across both DBFS and UC
Volumes versions of the fs commands.
## Tests
Support for UC volumes is tested by running the same tests as we did
originally for DBFS commands. The tests require a `main` catalog to
exist in the workspace, which does in our test workspaces environments
which have the `TEST_METASTORE_ID` environment variable set.
For the Files API filer, we do the same by running mostly common tests
to ensure the filers for "local", "wsfs", "dbfs" and "files API" are
consistent.
The tests are also made to all run in parallel to reduce the time taken.
To ensure the separation of the tests, each test creates its own UC
schema (for UC volumes tests) or DBFS directories (for DBFS tests).
## Changes
This adds a `default-sql` template!
In this latest revision, I've hidden the new template from the list so
we can merge it, iterate over it, and properly release the template at
the right time.
- [x] WorkspaceFS support for .sql files is in prod
- [x] SQL extension is preconfigured based on extension settings (if
possible)
- [ ] Streaming tables support is either ungated or the template
provides instructions about signup
- _Mitigation for now: this template is hidden from the list of
templates._
- [x] Support non-UC workspaces
## Tests
- [x] Unit tests
- [x] Manual testing
- [x] More manual testing
- [x] Reviewer testing
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
Co-authored-by: PaulCornellDB <paul.cornell@databricks.com>
## Changes
This change enables the use of bundle variables for boolean, integer,
and floating point fields.
## Tests
* Unit tests.
* I ran a manual test to confirm parameterizing the number of workers in
a cluster definition works.
## Changes
This adds a new dbt-sql template. This work requires the new WorkspaceFS
support for dbt tasks.
In this latest revision, I've hidden the new template from the list so
we can merge it, iterate over it, and propertly release the template at
the right time.
Blockers:
- [x] WorkspaceFS support for dbt projects is in prod
- [x] Move dbt files into a subdirectory
- [ ] Wait until the next (>1.7.4) release of the dbt plugin which will
have major improvements!
- _Rather than wait, this template is hidden from the list of
templates._
- [x] SQL extension is preconfigured based on extension settings (if
possible)
- MV / streaming tables:
- [x] Add to template
- [x] Fix https://github.com/databricks/dbt-databricks/issues/535 (to be
released with in 1.7.4)
- [x] Merge https://github.com/databricks/dbt-databricks/pull/338 (to be
released with in 1.7.4)
- [ ] Fix "too many 503 errors" issue
(https://github.com/databricks/dbt-databricks/issues/570, internal
tracker: ES-1009215, ES-1014138)
- [x] Support ANSI mode in the template
- [ ] Streaming tables support is either ungated or the template
provides instructions about signup
- _Mitigation for now: this template is hidden from the list of
templates._
- [x] Support non-workspace-admin deployment
- [x] Make sure `data_security_mode: SINGLE_USER` works on non-UC
workspaces (it's required to be explicitly specified on UC workspaces
with single-node clusters)
- [x] Support non-UC workspaces
## Tests
- [x] Unit tests
- [x] Manual testing
- [x] More manual testing
- [ ] Reviewer manual testing
- _I'd like to do a small bug bash post-merging._
- [x] Unit tests
## Changes
This builds on #1098 and uses the `dyn.Value` representation of the
bundle configuration to generate the Terraform JSON definition of
resources in the bundle.
The existing code (in `BundleToTerraform`) was not great and in an
effort to slightly improve this, I added a package `tfdyn` that includes
dedicated files for each resource type. Every resource type has its own
conversion type that takes the `dyn.Value` of the bundle-side resource
and converts it into Terraform resources (e.g. a job and optionally its
permissions).
Because we now use a `dyn.Value` as input, we can represent and emit
zero-values that have so far been omitted. For example, setting
`num_workers: 0` in your bundle configuration now propagates all the way
to the Terraform JSON definition.
## Tests
* Unit tests for every converter. I reused the test inputs from
`convert_test.go`.
* Equivalence tests in every existing test case checks that the
resulting JSON is identical.
* I manually compared the TF JSON file generated by the CLI from the
main branch and from this PR on all of our bundles and bundle examples
(internal and external) and found the output doesn't change (with the
exception of the odd zero-value being included by the version in this
PR).
## 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
## Changes
When resolving a value returned by the lookup function, the code would
call into `resolveRef` with the key that `resolveKey` was called with.
In doing so, it would cache the _new_ ref under that key.
We fix this by caching ref resolution only at the top level and relying
on lookup caching to avoid duplicate work.
This came up while testing #1098.
## Tests
Unit test.
## Changes
This is a follow-up to #1211 prompted by the addition of a recursive
type in the Go SDK v0.31.0 (`jobs.ForEachTask`).
When populating missing fields with their zero values we must not
inadvertently recurse into a recursive type.
## Tests
New unit test fails with a stack overflow if the fix if the check is
disabled.
## Changes
We plan to use the any-equivalent of a `dyn.Value` such that we can use
variable references for non-string fields (e.g.
`${databricks_job.some_job.id}` where an integer is expected), as well
as properly emit zero values for primitive types (e.g. 0 for integers or
false for booleans).
This change is in preparation for the above.
## Tests
Unit tests.
## Changes
* Update `go.mod` with latest dependencies
* Update `go.mod` to require Go 1.21 to match root `go.mod`
* Regenerate structs for Terraform provider v1.36.2
## Tests
n/a
## Changes
This feature supports variable lookups in a `dyn.Value` that are present
in the type but haven't been initialized with a value.
For example: `${bundle.git.origin_url}` is present in the `dyn.Value`
only if it was assigned a value. If it wasn't assigned a value it should
resolve to the empty string. This normalization option, when set,
ensures that all fields that are represented in the specified type are
present in the return value.
This change is in support of #1098.
## Tests
Added unit test.
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
Bundle schema generation does not support recursive API fields. This PR
skips generation for for_each_task until we add proper support for
recursive types in the bundle schema.
## Tests
Manually. This fixes the generation of the CLI and the bundle schema
command works as expected, with the sub-schema for `for_each_task` being
set to null in the output.
```
"for_each_task": null,
```
## Changes
Before this change, any error in a subtree would cause the entire
subtree to be dropped from the output.
This is not ideal when debugging, so instead we drop only the values
that cannot be normalized. Note that this doesn't change behavior if the
caller is properly checking the returned diagnostics for errors.
Note: this includes a change to use `dyn.InvalidValue` as opposed to
`dyn.NilValue` when returning errors.
## Tests
Added unit tests for the case where nested struct, map, or slice
elements contain an error.
Bumps [golang.org/x/oauth2](https://github.com/golang/oauth2) from
0.16.0 to 0.17.0.
<details>
<summary>Commits</summary>
<ul>
<li><a
href="ebe81ad837"><code>ebe81ad</code></a>
go.mod: update golang.org/x dependencies</li>
<li><a
href="adffd94437"><code>adffd94</code></a>
google/internal/externalaccount: update serviceAccountImpersonationRE to
supp...</li>
<li><a
href="deefa7e836"><code>deefa7e</code></a>
google/downscope: add DownscopingConfig.UniverseDomain to support
TPC</li>
<li>See full diff in <a
href="https://github.com/golang/oauth2/compare/v0.16.0...v0.17.0">compare
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</details>
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## Changes
`executor.Exec` now uses `cmd.CombinedOutput`. Previous implementation
was hanging on my windows VM during `bundle deploy` on the
`ReadAll(MultiReader(stdout, stderr))` line.
The problem is related to the fact the MultiReader reads sequentially,
and the `stdout` is the first in line. Even simple `io.ReadAll(stdout)`
hangs on me, as it seems like the command that we spawn (python wheel
build) waits for the error stream to be finished before closing stdout
on its own side? Reading `stderr` (or `out`) in a separate go-routine
fixes the deadlock, but `cmd.CombinedOutput` feels like a simpler
solution.
Also noticed that Exec was not removing `scriptFile` after itself, fixed
that too.
## Tests
Unit tests and manually
Bumps [golang.org/x/term](https://github.com/golang/term) from 0.16.0 to
0.17.0.
<details>
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<li><a
href="353276a841"><code>353276a</code></a>
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## 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
This helper:
* Constructs a context
* Constructs a `*databricks.WorkspaceClient`
* Ensures required environment variables are present to run an
integration test
* Enables debugging integration tests from VS Code
Debugging integration tests (from VS Code) is made possible by a prelude
in the helper that checks if the calling process is a debug binary, and
if so, sources environment variables from
`~/..databricks/debug-env.json` (if present).
## Tests
Integration tests still pass.
---------
Co-authored-by: Andrew Nester <andrew.nester@databricks.com>
## 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
The indentation mistake on the `path` field under `notebook` meant the
pipeline had a single entry with a `nil` notebook field. This was
allowed but incorrect.
While working on the `dyn.Value` approach, this yielded a non-nil but
zeroed `notebook` field and a failure to translate an empty path.
## Tests
Correcting the indentation made the test fail because the file is not a
notebook. I changed it to a `file` reference and the test now passes.
## Changes
Not doing this means that the output struct is not a true representation
of the `dyn.Value` and unrepresentable state (e.g. unexported fields)
can be carried over across `convert.ToTyped` calls.
## Tests
Unit tests.
## Changes
This was an issue in cases where the typed structure contains a non-nil
pointer to an empty struct. After conversion to a `dyn.Value` and back
to the typed structure, the pointer became nil.
## Tests
Unit tests.
## Changes
This reverts commit 4131069a4b.
The integration test for metadata computation failed. The back and forth
to `dyn.Value` erases unexported fields that the code currently still
depends on. We'll have to retry on top of #1098.
## Changes
References to keys that themselves are also variable references were
shortcircuited in the previous approach. This meant that certain fields
were resolved even if the lookup function would have instructed to skip
resolution.
To fix this we separate the memoization of resolved variable references
from the memoization of lookups. Now, every variable reference is passed
through the lookup function.
## Tests
Before this change, the new test failed with:
```
=== RUN TestResolveWithSkipEverything
[...]/libs/dyn/dynvar/resolve_test.go:208:
Error Trace: [...]/libs/dyn/dynvar/resolve_test.go:208
Error: Not equal:
expected: "${d} ${c} ${c} ${d}"
actual : "${b} ${a} ${a} ${b}"
Diff:
--- Expected
+++ Actual
@@ -1 +1 @@
-${d} ${c} ${c} ${d}
+${b} ${a} ${a} ${b}
Test: TestResolveWithSkipEverything
```
## 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
The databricks terraform provider does not allow changing permission of
the current user. Instead, the current identity is implictly set to be
the owner of all resources on the platform side.
This PR introduces a mutator to filter permissions from the bundle
configuration, allowing users to define permissions for their own
identities in their bundle config.
This would allow configurations like, allowing both alice and bob to
collaborate on the same DAB:
```
permissions:
level: CAN_MANAGE
user_name: alice
level: CAN_MANAGE
user_name: bob
```
## Tests
Unit test and manually
## Changes
This function could panic when either side of the comparison is a nil or
empty slice. This logic is triggered when comparing the input value to
the output value when calling `dyn.Map`.
## Tests
Unit tests.
## Changes
The approach to do this was:
1. Iterate over all libraries in all job tasks
2. Find references to local libraries
3. Store pointer to `compute.Library` in the matching artifact file to
signal it should be uploaded
This breaks down when introducing #1098 because we can no longer track
unexported state across mutators. The approach in this PR performs the
path matching twice; once in the matching mutator where we check if each
referenced file has an artifacts section, and once during artifact
upload to rewrite the library path from a local file reference to an
absolute Databricks path.
## Tests
Integration tests pass.
## Changes
Adds the short_name helper function. short_name is useful when templates
do not want to print the full userName (typically email or service
principal application-id) of the current user.
## Tests
Integration test. Also adds integration tests for other helper functions
that interact with the Databricks API.
## Changes
Allow specifying executable in artifact section
```
artifacts:
test:
type: whl
executable: bash
...
```
We also skip bash found on Windows if it's from WSL because it won't be
correctly executed, see the issue above
Fixes#1159