SPARK-REST-API
Async wrapper for Spark REST API. See more in documentation
INSTALL
pip install spark-rest-api
USAGE
import asyncio
import io
import zipfile
import aiohttp
import pandas as pd
from spark_rest_api import SparkRestApi
sra = SparkRestApi(spark_host="https://<host>:<port>")
sra.show_templates()
async def main(sra):
base_app_id = "application_XXXXXXXXXXXXX_XXXXXX"
async with aiohttp.ClientSession() as session:
resp = (
await sra.execute(
session=session,
url=sra.render_url(template_id=0)
)
)
assert resp.status == 200
df = resp.to_df()
attempts = df[df["id"] == base_app_id].attempts.tolist()
if attempts:
urls = map(
lambda x: sra.render_url(3, app_id=f"{base_app_id}/{x['attemptId']}"),
attempts[0]
)
df_result = pd.concat(
map(
lambda x: x.to_df(),
(
await asyncio.gather(*(sra.execute(session, url) for url in urls))
)
)
)
print(df_result)
log_data = await sra.execute(session, sra.render_url(template_id=13, base_app_id=base_app_id))
with zipfile.ZipFile(io.BytesIO(log_data.raw), "r") as zip_file:
for f in zip_file.infolist():
print(zip_file.read(f).decode())
loop = asyncio.get_event_loop()
loop.run_until_complete(main(sra))
1 maintainer
Metadata
1 maintainer
Release files for spark-rest-api 0.0.0
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Total release size: 19.0 kB
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| Download URL | spark-rest-api-0.0.0.tar.gz |
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|---|---|
| Size | 9.2 kB |
| Tags | Python 3 |
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