Spark Sql Optimizer
- 44 installs
- 2.6k repo stars
- Updated August 5, 2026
- jeremylongshore/claude-code-plugins-plus-skills
Optimizes Spark SQL queries and jobs within ETL and data-pipeline workflows.
About
Provides guidance for tuning Spark SQL in data-engineering pipelines. A developer uses it when Spark queries or transformations run slowly.
- Part of the Data Pipelines skill category
- Covers ETL, streaming and data-engineering with Spark and Airflow
Spark Sql Optimizer by the numbers
- 44 all-time installs (skills.sh)
- Ranked #431 of 911 Databases skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 44 |
|---|---|
| repo stars | ★ 2.6k |
| Last updated | August 5, 2026 |
| Repository | jeremylongshore/claude-code-plugins-plus-skills ↗ |
What it does
Optimizes Spark SQL queries and jobs within ETL and data-pipeline workflows.
Files
Spark Sql Optimizer
Overview
This skill provides automated assistance for spark sql optimizer tasks within the Data Pipelines domain.
When to Use
This skill activates automatically when you:
- Mention "spark sql optimizer" in your request
- Ask about spark sql optimizer patterns or best practices
- Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.
Instructions
1. Provides step-by-step guidance for spark sql optimizer 2. Follows industry best practices and patterns 3. Generates production-ready code and configurations 4. Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with spark sql optimizer" Result: Provides step-by-step guidance and generates appropriate configurations
Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of data pipelines concepts
Output
- Generated configurations and code
- Best practice recommendations
- Validation results
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
Related Skills
Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering
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