databricks-cli

Commit Graph

Author	SHA1	Message	Date
Anton Nekipelov	3aef065c5c	Refactor TestSparkJarTask* tests to support test environments without Java 8 (#2385 ) ## Changes 1. Refactored `TestSparkJarTaskDeployAndRunOnVolumes` and `TestSparkJarTaskDeployAndRunOnWorkspace` to use a table-driven approach for better organization of similar tests 2. Implemented `testutil.HasJDK()` to replace `testutil.RequireJDK` to be able to skip tests 3. Ensured the test suite properly fails if no compatible Java version is found ## Why It can be tricky to have Java 8 installed on modern dev environments (e.g. Mac on Apple M3 chip). The absence of which previously caused the Spark Jar task tests to fail when run locally. This refactoring allows such environments to be able to run "SparkJar" tests using a newer Databricks Runtime. ## Tests 1. Ran `TestSparkJarTaskDeployAndRunOnVolumes` and `TestSparkJarTaskDeployAndRunOnWorkspace` locally on Mac with Java11 installed. 2. Checked that tests against older runtimes are still being run and passing in CI/CD environments	2025-02-28 08:39:21 +00:00
Pieter Noordhuis	dd3b7ec450	Define and use `testutil.TestingT` interface (#2003 ) ## Changes Using an interface instead of a concrete type means we can pass `testing.T` directly or any wrapper type that implements a superset of this interface. It prepares for more broad use of `acc.WorkspaceT`, which enhances the testing object with helper functions for using a Databricks workspace. This eliminates the need to dereference a `testing.T` field on a wrapper type. ## Tests n/a	2024-12-12 14:42:15 +00:00
Pieter Noordhuis	a240be0b5a	Run Spark JAR task test on multiple DBR versions (#1665 ) ## Changes This explores error messages on older DBRs and UC vs non-UC. ## Tests Integration tests pass.	2024-08-09 15:13:31 +00:00

Author

SHA1

Message

Date

Anton Nekipelov

3aef065c5c

Refactor TestSparkJarTask* tests to support test environments without Java 8 (#2385 )

## Changes
1. Refactored `TestSparkJarTaskDeployAndRunOnVolumes` and
`TestSparkJarTaskDeployAndRunOnWorkspace` to use a table-driven approach
for better organization of similar tests
2. Implemented `testutil.HasJDK()` to replace `testutil.RequireJDK` to
be able to skip tests
3. Ensured the test suite properly fails if no compatible Java version
is found

## Why
It can be tricky to have Java 8 installed on modern dev environments
(e.g. Mac on Apple M3 chip). The absence of which previously caused the
Spark Jar task tests to fail when run locally. This refactoring allows
such environments to be able to run "SparkJar" tests using a newer
Databricks Runtime.

## Tests
1. Ran `TestSparkJarTaskDeployAndRunOnVolumes` and
`TestSparkJarTaskDeployAndRunOnWorkspace` locally on Mac with Java11
installed.
2. Checked that tests against older runtimes are still being run and
passing in CI/CD environments

2025-02-28 08:39:21 +00:00

Pieter Noordhuis

dd3b7ec450

Define and use `testutil.TestingT` interface (#2003 )

## Changes

Using an interface instead of a concrete type means we can pass
`*testing.T` directly or any wrapper type that implements a superset of
this interface. It prepares for more broad use of `acc.WorkspaceT`,
which enhances the testing object with helper functions for using a
Databricks workspace.

This eliminates the need to dereference a `*testing.T` field on a
wrapper type.

## Tests

n/a

2024-12-12 14:42:15 +00:00

Pieter Noordhuis

a240be0b5a

Run Spark JAR task test on multiple DBR versions (#1665 )

## Changes

This explores error messages on older DBRs and UC vs non-UC.

## Tests

Integration tests pass.

2024-08-09 15:13:31 +00:00

3 Commits