apache/spark
Jul 2025 – Jul 2025
1 Month active
Languages Used
Scala
Technical Skills
API developmentScalabackend developmentperformance optimization
Shardul Mahadik
PROFILE
Shardul Mahadik
In July 2025, Saurabh Mahadik enhanced the apache/spark repository by developing an efficient application listing feature for the Spark History Server. He implemented filtering and limiting capabilities, allowing users to retrieve only relevant application records, which reduced latency and improved scalability for large workloads. Leveraging Scala and deep knowledge of Spark internals, Saurabh integrated predicate pushdown and optimized the FsHistoryProvider to minimize overhead during application queries. His work focused on backend development and performance optimization, resulting in a more responsive user experience and streamlined troubleshooting. The changes also improved maintainability and test coverage, supporting future development and operational efficiency.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
51
Activity Months1
Your Network
372 people
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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline