{"library":"sparkmeasure","type":"library","category":null,"description":"sparkMeasure is a Python API for the core Scala library, designed for performance troubleshooting of Apache Spark workloads. It simplifies the collection and analysis of Spark metrics, making it suitable for interactive analysis, testing, and production monitoring. The library focuses on easing metric collection and analysis for both developers and data engineers. Releases are frequent, typically on a quarterly to half-yearly cadence, with the current stable version being 0.27.0.","language":"python","status":"active","version":"0.27.0","tags":["spark","pyspark","performance","metrics","monitoring","troubleshooting"],"install":[{"cmd":"pip install sparkmeasure","imports":["from sparkmeasure import StageMetrics","from sparkmeasure import TaskMetrics"]},{"cmd":"pyspark --packages ch.cern.sparkmeasure:spark-measure_2.13:0.27","imports":[]}],"homepage":null,"github":"https://github.com/lucacanali/sparkMeasure","docs":"https://github.com/lucacanali/sparkMeasure","changelog":"https://github.com/lucacanali/sparkMeasure/releases","pypi":"https://pypi.org/project/sparkmeasure/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.6,"avg_import_s":0,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/sparkmeasure/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}