Skip to main content

Default template for PDM package

Project description

spark-dash

usage

  1. Run streamlit
$ run-dashboard
 
  Local URL: http://localhost:8501
  Network URL: http://172.31.41.91:8501
  1. Explore dashboard
    1. main dashboard

      a. 현재 spark 관련 container의 CPU 및 MEM 사용량을 보여줍니다.

      b. 자동 Scale in/out까지 시간 진행률(60초 중에 얼마나 왔는지)

      c. 수동 Scale in/out 버튼

    2. Scale log dashboard

      a. 데이터를 나타낼 log file 선택

      b. 선택된 log file을 DataFrame으로 표출

      c. 선택된 log file에서 시간별 Worker의 수를 line plot으로 표출

      d. 선택된 log file에서 Scale In/Out이 일어난 횟수를 bar plot으로 표출

    3. Usage log dashboard


      a. 데이터를 나타낼 log file 선택

      b. 선택된 log file을 DataFrame으로 표출

      c. 선택된 log file에서 CPU 사용량을 line plot으로 표출

      d. 선택된 log file에서 현재 CPU 사용상태를 bar plot으로 표출

dependency

streamlit>=1.40.1
matplotlib>=3.9.2
schedule>=1.2.2
tz-kst>=0.5.3

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spark_dash-0.1.0.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spark_dash-0.1.0-py3-none-any.whl (6.9 kB view details)

Uploaded Python 3

File details

Details for the file spark_dash-0.1.0.tar.gz.

File metadata

  • Download URL: spark_dash-0.1.0.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.19.3 CPython/3.11.9 Linux/5.15.167.4-microsoft-standard-WSL2

File hashes

Hashes for spark_dash-0.1.0.tar.gz
Algorithm Hash digest
SHA256 55e3cbcd6397d611e5829397b45ab7d217c7f45ab5475dfc496fa1197a6fcf21
MD5 5b1750faaa2daeba0ba7d2429eeb0564
BLAKE2b-256 b66dbf0b8ac2fa63799e0031465f438ac0fc1ce745dcf36dffc82d0716e98320

See more details on using hashes here.

File details

Details for the file spark_dash-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: spark_dash-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 6.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.19.3 CPython/3.11.9 Linux/5.15.167.4-microsoft-standard-WSL2

File hashes

Hashes for spark_dash-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a9a7766daf52355a7fa050381da9372cbd0e9f519234c33b98490ede273c0ed3
MD5 38905d9d41dfc7b2981d99eef26b43e2
BLAKE2b-256 20f060d047b9c13562ab5ea728f8e321148973f984f9416732ef22b78ed3376d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page