apache/spark
May 2025 – Jun 2025
2 Months active
Languages Used
PythonScala
Technical Skills
API developmentSparkdata processingprotobufData EngineeringGraph Theory
Aakash Japi
PROFILE
Aakash Japi
Worked on the apache/spark repository to deliver foundational features for declarative data pipelines within Apache Spark. Developed the Spark Connect API, introducing protocol buffers to enable remote, vendor-neutral construction and execution of dataflow graphs and datasets. Built the DataflowGraph infrastructure, allowing graph-based management of pipelines with capabilities for creation, resolution, validation, and schema inference. Leveraged Scala, Spark, and protobuf to enhance pipeline reliability and extensibility, focusing on early error detection and schema determination. The work established a robust API surface and infrastructure in Spark SQL, positioning the platform for future optimizations and more flexible, cross-system data workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
13,187
Activity Months2
Your Network
656 peopleSame Organization
@databricks.com299
Shared Repositories
357
Work History
June 2025
2 Commits • 1 Features
Jun 1, 2025Month: 2025-06. Delivered DataflowGraph for Declarative Pipelines in Apache Spark, enabling graph-based management of pipelines, including creation, resolution, validation, and schema determination. This work, anchored by SPARK-52283 commits, establishes a solid foundation for declarative pipeline execution, improved error detection, and more reliable data flows.
2 Commits • 1 Features
Jun 1, 2025Month: 2025-06. Delivered DataflowGraph for Declarative Pipelines in Apache Spark, enabling graph-based management of pipelines, including creation, resolution, validation, and schema determination. This work, anchored by SPARK-52283 commits, establishes a solid foundation for declarative pipeline execution, improved error detection, and more reliable data flows.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for Apache Spark (apache/spark): Delivered Spark Connect API for Declarative Pipelines, introducing new protocol buffers to create and manage dataflow graphs, datasets, and flows within the Spark ecosystem. This work enables remote, declarative pipeline construction and execution via Spark Connect, paving the way for vendor-neutral integrations and more flexible data workflows. The effort centers on the SPARK-52223 commit and the addition of SDP Spark Connect Protos, establishing a solid API surface for future enhancements.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for Apache Spark (apache/spark): Delivered Spark Connect API for Declarative Pipelines, introducing new protocol buffers to create and manage dataflow graphs, datasets, and flows within the Spark ecosystem. This work enables remote, declarative pipeline construction and execution via Spark Connect, paving the way for vendor-neutral integrations and more flexible data workflows. The effort centers on the SPARK-52223 commit and the addition of SDP Spark Connect Protos, establishing a solid API surface for future enhancements.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture93.4%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonScala
Technical Skills
API developmentData EngineeringGraph TheoryScalaSparkSpark SQLdata processingprotobuf
Repositories Contributed To
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