Python API for sparkMeasure, a tool for performance troubleshooting of Apache Spark workloads
Project description
SparkMeasure is a tool for performance troubleshooting of Apache Spark workloads.
It simplifies the collection and analysis of Spark performance metrics. The bulk of sparkMeasure is written in Scala.
This package contains the Python API for sparkMeasure and is intended to work in conjunction with PySpark.
Use from python command line or in Jupyter notebook environments, or as a tool to instrument Python code running Spark workloads.
Link to sparkMeasure GitHub page and documentation
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sparkmeasure-0.19.0.tar.gz.
File metadata
- Download URL: sparkmeasure-0.19.0.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3ae4c17fda3d217fc25f4a3089cc465498dea23fa463937168dd96d2de571dca
|
|
| MD5 |
28dd8cd71b589eda765eb4a4d116ccd3
|
|
| BLAKE2b-256 |
0c3ea8db91b9b3d223bb069850de48e82a91b0b8481e18e60fe587db5d746f4a
|
File details
Details for the file sparkmeasure-0.19.0-py2.py3-none-any.whl.
File metadata
- Download URL: sparkmeasure-0.19.0-py2.py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0091b1dbd7c3dcc671d216af02b464798b13e7fbfe032847d41272c1cabe9c54
|
|
| MD5 |
f4d71fbc5f0ef25023302e8c690e9611
|
|
| BLAKE2b-256 |
c00c422e1224db9779a3b8343cbbd1ccafb757ea2e20ee00a7c44e76fed94975
|
