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Add example to demonstrate a job with condition task #20
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.databricks |
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# job_with_condition_task | ||
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Example to show how a "condition task" can be used. | ||
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## Usage | ||
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Configure the workspace to use: | ||
```sh | ||
export DATABRICKS_CONFIG_PROFILE="<workspace profile>" | ||
``` | ||
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Modify the SQL warehouse name in the configuration to a running SQL warehouse in your workspace. | ||
You can list the SQL warehouses in your workspace using the following command: | ||
```sh | ||
databricks warehouses list | ||
``` | ||
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Deploy the bundle: | ||
```sh | ||
databricks bundle deploy | ||
``` | ||
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Run and observe the SQL query task is **not** executed: | ||
```sh | ||
databricks bundle run example_job | ||
``` | ||
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Run and observe the SQL query task is executed: | ||
```sh | ||
databricks bundle run example_job --params "run_sql_task=true" | ||
``` |
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bundle: | ||
name: job_with_condition_task | ||
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variables: | ||
warehouse_id: | ||
lookup: | ||
warehouse: "Shared Warehouse" | ||
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resources: | ||
jobs: | ||
example_job: | ||
name: "Example job to demonstrate the use of a condition task" | ||
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tasks: | ||
- task_key: condition | ||
condition_task: | ||
left: "{{ job.parameters.[run_sql_task] }}" | ||
right: "true" | ||
op: EQUAL_TO | ||
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- task_key: run_query | ||
depends_on: | ||
- task_key: condition | ||
outcome: "true" | ||
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sql_task: | ||
warehouse_id: ${var.warehouse_id} | ||
file: | ||
path: ./query.sql | ||
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parameters: | ||
- name: "run_sql_task" | ||
default: "false" | ||
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targets: | ||
dev: | ||
default: true | ||
mode: development |
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-- Dummy query to test the job with condition task | ||
select * from range(10) |
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Could we show an example with a task value instead? So we have one Python notebook compute something, return it, and then use it in the conditional?
(Btw we want to support that use case for SQL queries too but don't have that support yet.)
The current example using a job parameter is a bit atypical.
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Could that be an additional example? For this one, I wanted to repro an issue and capture the example.
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We could have a notebook "process_data" that does some data processing and sets a task value "optimize" that determines whether to run
OPTIMIZE <table>
in a subsequent SQL query task:if
{{ tasks.process_data.values.optimize }} == "true"
=>OPTIMIZE <table>
and do nothing if false