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databricks-cli/acceptance/bundle/variables/complex/script

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Add test for overriding list variable (#2099) - Add override for "libraries". - Remove complexvar - it serves no purpose - we already have map variable ‘cluster’.
2025-01-09 09:03:03 +00:00
trace $CLI bundle validate -o json | jq '{resources,variables}' > out.default.json
trace jq .resources.jobs.my_job.tasks[0].task_key out.default.json | grep "task with spark version 13.2.x-scala2.11 and jar /path/to/jar"
Add acceptance tests (#2081) ## Changes - New kind of test is added - acceptance tests. See acceptance/README.md for explanation. - A few tests are converted to acceptance tests by moving databricks.yml to acceptance/ and adding corresponding script files. As these tests run against compiled binary and can capture full output of the command, they can be useful to support major changes such as refactoring internal logging / diagnostics or complex variable interpolation. These are currently run as part of 'make test' but the intention is to run them as part of integration tests as well. ### Benefits - Full binary is tested, exactly as users get it. - We're not testing custom set of mutators like many existing tests. - Not mocking anything, real SDK is used (although the HTTP endpoint is not a real Databricks env). - Easy to maintain: output can be updated automatically. - Can easily set up external env, such as env vars, CLI args, .databrickscfg location etc. ### Gaps The tests currently share the test server and there is global place to define handlers. We should have a way for tests to override / add new handlers. ## Tests I manually checked that output of new acceptance tests matches previous asserts.
2025-01-08 12:41:08 +00:00
Add test for overriding list variable (#2099) - Add override for "libraries". - Remove complexvar - it serves no purpose - we already have map variable ‘cluster’.
2025-01-09 09:03:03 +00:00
trace $CLI bundle validate -o json -t dev | jq '{resources,variables}' > out.dev.json
trace jq .resources.jobs.my_job.tasks[0].task_key out.dev.json | grep "task with spark version 14.2.x-scala2.11 and jar /newpath/to/jar"
echo policy_id and spark_conf.spark_random fields do not exist in dev target:
trace jq .resources.jobs.my_job.job_clusters[0].new_cluster.policy_id out.dev.json | grep null