Pre-release
This release is a pre-release and may not be stable for production use.
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
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