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Tim_Doernemann 2026-05-28 17:44:11 +02:00
parent d4028fca11
commit a578239c4f
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import pendulum
from airflow.sdk import dag
from stackit_workflows.airflow_plugin.decorators import stackit
default_kwargs = {
"image": "schwarzit-xx-sit-dp-customer-artifactory-docker-local.jfrog.io/stackit-spark:spark3.5.3-0.1.2"
}
@dag(
schedule=None,
start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
catchup=False,
tags=["demo","stackit-demo"],
dag_id="stackit_07_extra_packages",
)
def packages():
# In the stackit provided images, the python environment is owned by the runtime user.
# Thus, packages can be installed on the fly using `pip`, `conda`, or `mamba`.
# We recommend using `mamba` whenever possible, as mamba ships optimized binaries and
# resolves dependencies instead of just warning about incompatibilities.
# This process takes compute resources every time the image is started. If you need
# to run this task frequently, we recommend to build a custom image with the required packages.
@stackit.spark_kubernetes_task(**default_kwargs)
def tell_jokes():
import subprocess
import sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "Joking"])
import Joking
print(Joking.random_joke())
tell_jokes()
packages()