apache/spark
Apr 2026 – Apr 2026
1 Month active
Languages Used
JSONScala
Technical Skills
Apache SparkData EngineeringDatabase ManagementError HandlingSQLScala
Sandro Sp
PROFILE
Sandro Sp
Worked on the apache/spark repository to deliver critical Change Data Capture (CDC) enhancements, focusing on batch CDC post-processing and schema validation. Developed the ResolveChangelogTable analyzer rule in Scala to handle carry-over removal and update detection, while introducing explicit safeguards for streaming scenarios and robust option validation. Implemented ChangelogTable schema validation with new error classes to ensure fast failures on missing or incorrect metadata, improving data correctness and analysis-time feedback. Added a netChanges deduplication mode for CDC reads, enabling per-row net effect computation. Strengthened test infrastructure using InMemoryChangelogCatalog, covering post-processing, schema validation, and net-changes scenarios in depth.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
4,323
Activity Months1
Your Network
401 peopleWork History
April 2026
4 Commits • 2 Features
Apr 1, 2026April 2026: Delivered critical CDC improvements in Spark's Changelog support. Implemented ResolveChangelogTable analyzer rule for batch CDC post-processing with carry-over removal and update detection, including explicit streaming safeguards and option validation. Introduced ChangelogTable schema validation with new INVALID_CHANGELOG_SCHEMA error classes to fail-fast on missing or wrong metadata columns and on required row identity. Added netChanges deduplication mode for batch CDC reads to compute per-row net effects. Strengthened test infrastructure with InMemoryChangelogCatalog extensions and comprehensive suites to exercise post-processing, schema validation, and net-changes scenarios. These efforts improve data correctness, reduce silent misclassifications, and provide clearer analysis-time errors for connector implementors, while enabling a safe streaming path and richer CDC capabilities.
4 Commits • 2 Features
Apr 1, 2026April 2026: Delivered critical CDC improvements in Spark's Changelog support. Implemented ResolveChangelogTable analyzer rule for batch CDC post-processing with carry-over removal and update detection, including explicit streaming safeguards and option validation. Introduced ChangelogTable schema validation with new INVALID_CHANGELOG_SCHEMA error classes to fail-fast on missing or wrong metadata columns and on required row identity. Added netChanges deduplication mode for batch CDC reads to compute per-row net effects. Strengthened test infrastructure with InMemoryChangelogCatalog extensions and comprehensive suites to exercise post-processing, schema validation, and net-changes scenarios. These efforts improve data correctness, reduce silent misclassifications, and provide clearer analysis-time errors for connector implementors, while enabling a safe streaming path and richer CDC capabilities.
April 2026
Activity
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Quality Metrics
Correctness95.0%
Maintainability80.0%
Architecture95.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
JSONScala
Technical Skills
Apache SparkData EngineeringDatabase ManagementError HandlingSQLScalabig datadata processingsoftware engineeringstreaming
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