apache/spark
Jul 2025 – Jul 2025
1 Month active
Languages Used
Scala
Technical Skills
API developmentScalabackend developmentperformance optimization
Shardul Mahadik
PROFILE
Shardul Mahadik
Worked on the apache/spark repository to deliver an efficient application listing feature for the Spark History Server, enabling filtering and limiting of returned applications to improve performance with large workloads. Leveraged Scala and Java to implement predicate pushdown and integrated enhancements into the FsHistoryProvider, reducing latency and overhead when accessing historical application data. Focused on backend development and performance optimization, the work improved the responsiveness and scalability of the history server, facilitating faster troubleshooting and reporting. Emphasized maintainability and test coverage throughout the process, ensuring future changes to Spark’s history server components remain robust and easier to validate.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
51
Activity Months1
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446 peopleSame Organization
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Amaan MarfatiaMember
AMAN PANDEYMember
Abhishek NathMember
Shared Repositories
357
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary focusing on key accomplishments: - Key features delivered: Spark History Server: Efficient Application Listing with Filtering and Limiting, enabling filtering and limiting of applications returned to significantly boost performance when dealing with large numbers of applications. - Major bugs fixed: No major bugs fixed this month; primary focus was feature delivery and performance optimization. - Overall impact and accomplishments: Improved responsiveness and scalability of Spark History Server for large workloads, enabling faster troubleshooting and reporting. The change reduces the overhead of listing historical applications, leading to better user experience and operational efficiency. - Technologies/skills demonstrated: Spark internals, predicate pushdown, FsHistoryProvider integration, Java/Scala, performance optimization, code review and collaboration. Commits: - aeae9ff7bfbbef574c047dd4d25c1cdb8667da96: SPARK-52737 Pushdown predicate and number of apps to FsHistoryProvider when listing applications
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary focusing on key accomplishments: - Key features delivered: Spark History Server: Efficient Application Listing with Filtering and Limiting, enabling filtering and limiting of applications returned to significantly boost performance when dealing with large numbers of applications. - Major bugs fixed: No major bugs fixed this month; primary focus was feature delivery and performance optimization. - Overall impact and accomplishments: Improved responsiveness and scalability of Spark History Server for large workloads, enabling faster troubleshooting and reporting. The change reduces the overhead of listing historical applications, leading to better user experience and operational efficiency. - Technologies/skills demonstrated: Spark internals, predicate pushdown, FsHistoryProvider integration, Java/Scala, performance optimization, code review and collaboration. Commits: - aeae9ff7bfbbef574c047dd4d25c1cdb8667da96: SPARK-52737 Pushdown predicate and number of apps to FsHistoryProvider when listing applications
July 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Scala
Technical Skills
API developmentScalabackend developmentperformance optimization
Repositories Contributed To
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