apache/spark
Apr 2026 – May 2026
2 Months active
Languages Used
JSONScalaPythonSQL
Technical Skills
Error HandlingSQLTestingData AnalysisDocumentationScala
Petar Nikić
PROFILE
Petar Nikić
Contributed to the apache/spark repository by developing the counter_diff window function, enabling conversion of cumulative counters to delta format with robust handling for counter resets, which supports more reliable time-series analytics. Enhanced Spark SQL’s error handling by designing a new, standardized error message for window functions missing an ORDER BY clause, improving clarity and maintainability. Updated documentation to reflect feature availability in Spark SQL 4.3 and created comprehensive end-to-end tests to validate both new functionality and error conditions. Leveraged skills in SQL, Scala, and testing, with a focus on clear diagnostics, code maintainability, and alignment with Spark SQL conventions.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
2,808
Activity Months2
Your Network
733 peopleSame Organization
@databricks.com332
Work History
May 2026
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for apache/spark: Implemented a new counter_diff window function to convert cumulative counters to delta format with reset handling, enabling reliable time-series analytics. Updated docs to reflect availability in Spark SQL 4.3 (not 4.2). Added end-to-end tests (counter-diff.sql) validating delta outputs and counter reset scenarios. Commit references: 4b9b35b4e02fe98dcbdb93ca490bf969ba88af99; 3b496f60cf863ca984d5548c002878585ca34c88.
2 Commits • 1 Features
May 1, 2026May 2026 monthly summary for apache/spark: Implemented a new counter_diff window function to convert cumulative counters to delta format with reset handling, enabling reliable time-series analytics. Updated docs to reflect availability in Spark SQL 4.3 (not 4.2). Added end-to-end tests (counter-diff.sql) validating delta outputs and counter reset scenarios. Commit references: 4b9b35b4e02fe98dcbdb93ca490bf969ba88af99; 3b496f60cf863ca984d5548c002878585ca34c88.
May 2026
April 2026
1 Commits
Apr 1, 2026April 2026 monthly summary for the Apache Spark contributions focused on improving error handling for window functions that require an ORDER BY clause. Delivered a clearer, actionable error condition and updated tests to ensure reliability across edge cases. The work emphasizes business value through better developer and user experience, faster debugging, and more maintainable code paths.
April 2026
1 Commits
Apr 1, 2026April 2026 monthly summary for the Apache Spark contributions focused on improving error handling for window functions that require an ORDER BY clause. Delivered a clearer, actionable error condition and updated tests to ensure reliability across edge cases. The work emphasizes business value through better developer and user experience, faster debugging, and more maintainable code paths.
Activity
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Quality Metrics
Correctness100.0%
Maintainability86.6%
Architecture93.4%
Performance93.4%
AI Usage60.0%
Skills & Technologies
Programming Languages
JSONPythonSQLScala
Technical Skills
Data AnalysisDocumentationError HandlingSQLScalaSparkTestingVersion Control
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline