flyteplugins-databricks 2.3.8

Databricks plugin for flyte

Databricks Plugin for Flyte

This plugin provides Databricks integration for Flyte, enabling you to run Spark jobs on Databricks as Flyte tasks.

Installation

pip install flyteplugins-databricks

Usage

from flyteplugins.databricks import Databricks, DatabricksConnector

@task(task_config=Databricks(
    databricks_conf={
        "run_name": "flyte databricks plugin",
        "new_cluster": {
            "spark_version": "13.3.x-scala2.12",
            "autoscale": {
                "min_workers": 1,
                "max_workers": 1,
            },
            "node_type_id": "m6i.large",
            "num_workers": 1,
            "aws_attributes": {
                "availability": "SPOT_WITH_FALLBACK",
                "instance_profile_arn": "arn:aws:iam::339713193121:instance-profile/databricks-demo",
                "ebs_volume_type": "GENERAL_PURPOSE_SSD",
                "ebs_volume_count": 1,
                "ebs_volume_size": 100,
                "first_on_demand": 1,
            },
        },
        # "existing_cluster_id": "1113-204018-tb9vr2fm", # use existing cluster id if you want
        "timeout_seconds": 3600,
        "max_retries": 1,
    },
    databricks_instance="mycompany.cloud.databricks.com",
))
def my_spark_task() -> int:
    # Your Spark code here
    return 42