docs/liminal/tasks/spark.md

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# spark task

The `spark` task allows you to submit a spark application

```yaml
  - task: my_spark_app
    type: spark
    executor: emr_executor
    application_source: 'my_app.py',
    class: 'com.mycompany.MySparkApp',
    master: 'yarn',
    conf:
      spark.driver.memory: '1g',
      spark.driver.maxResultSize: '1g',
      spark.yarn.executor.memoryOverhead: '500M'
    application_arguments:
      --query: "select * from my_db.my_input_table where my_date_col >= "
                 "'{{yesterday_ds}}'",
      --output: 'my_output_table'
```

## attributes

`task`: name of your task (must be made of alphanumeric, dash and/or underscore characters only).

`executor`: executor name ([supported executors](#supported-executors))

`application_source`: the location of the spark application (jar location / python file)

`class`: the entry point for your application

`master`: the cluster manager to connect to.See the list
of [allowed master URL's](https://spark.apache.org/docs/latest/submitting-applications.html#master-urls)
(Optional)

`conf`: arbitrary Spark configuration properties (Optional)

`application_arguments`: arguments passed to the main method of your main class (Optional)

## supported executors
- [emr](../executors/emr.md)