Yanked
This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 2.6.5 instead.
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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