Xiaoyu Yao is a software engineer and technical lead at Oracle Cloud Infrastructure with 11 years of experience building distributed storage systems. Based in the Greater Seattle Area, she focuses on backend architecture for scalable, reliable object and file storage, contributing significantly to HDFS, Ozone, and the broader Apache Hadoop ecosystem as a PMC committer. Her work spans adding plugin support and hardening datanode services, improving container protocols and integration tests to ensure production-grade reliability. Beyond day-to-day engineering, she’s active in open source maintenance and cross-project bug fixes, demonstrating a knack for both deep-system design and meticulous code hygiene. Colleagues rely on her to turn complex storage protocols into extensible, testable implementations that keep large-scale data platforms robust.
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
Role in this project:
Back-end Developer
Contributions:361 reviews, 208 commits, 221 PRs in 3 years 3 months
Contributions summary:Xiaoyu primarily contributed to adding support for plugins in the HDDS Datanode Service, involving changes to the `HddsDatanodeService.java` and `OzoneHddsDatanodeService.java` files, suggesting a focus on extending the container service functionality. Furthermore, the user made changes to integration tests to accommodate the new plugin features. The user fixed whitespaces and license issues in a previous HDFS branch, and also resolved issues related to handling block tokens in the container protocol. The user's work impacts the core functionality of the object store's datanode.
Contributions:24 reviews, 621 commits, 142 PRs in 6 years 1 month
Contributions summary:Xiaoyu Brahma Reddy Battula, in collaboration with xyao, identified and addressed type-related errors in the Hadoop Distributed File System (HDFS) codebase, specifically within the hadoop-hdfs-httpfs module. The user's commits primarily focus on correcting typos in Java code across the Hadoop distributed file system, ensuring accuracy within the HTTPFS functionality and the related data structures. Brahma also addressed and fixed a bug in the system.
apachebig-datasparkhadoopjava
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