vgiri2015-spark-optimizer
Optimizes Apache Spark code by analyzing PySpark queries and applying performance enhancements for resource management, execution tuning, and query optimization, resulting in significantly faster job execution.
- Score
- 81.9462 signals
- Evidence
- 29 stars · 9 forks
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
Alternatives · MCPs
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What it is
MCP server Spark Optimizer, catalogued on PulseMCP. Optimizes Apache Spark code by analyzing PySpark queries and applying performance enhancements for resource management, execution tuning, and query optimization, resulting in significantly faster job execution.
When to use it
Optimizes Apache Spark code by analyzing PySpark queries and applying performance enhancements for resource management, execution tuning, and query optimization, resulting in significantly faster job execution.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.