tirkarthi commented on PR #39006:
URL: https://github.com/apache/airflow/pull/39006#issuecomment-2066933356
@dirrao @jscheffl Used below dag which generated around 30MB log file and
the function call added around 15ms with total render time taking 9-10 seconds.
I did it with dev builds using "yarn dev" since the function name was not
searchable in production mode possibly due to no source mapping. Please let me
know if I missed anything. Thanks
```pythonfrom __future__ import annotations
from datetime import datetime
from airflow import DAG
from airflow.decorators import task
with DAG(
dag_id="perf_39006",
start_date=datetime(2024, 1, 1),
catchup=False,
schedule_interval=None,
) as dag:
@task
def log_line_generator():
import random
lorem_ipsum_words = "Lorem ipsum dolor sit amet, consectetur
adipiscing elit, sed do eiusmod tempor".split()
for _ in range(200_000):
random.shuffle(lorem_ipsum_words)
line = " ".join(lorem_ipsum_words)
rand = random.random()
if rand > 0.9:
print(f"{line} error")
elif rand > 0.8:
print(f"{line} warn")
else:
print(line)
log_line_generator()
```
Without patch
With patch :
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