Quanlong Huang
Senior Staff Engineer at The Apache Software Foundation
Chaoyang District, Beijing, China
Summary
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Rockstar🎓
Top SchoolQuanlong Huang is a Senior Staff Engineer with 10 years of experience building and optimizing large-scale big data systems, currently driving core improvements on the Apache Impala team at Cloudera. He combines deep backend expertise in Hadoop ecosystem projects—Impala, ORC and Dr. Elephant—with practical production experience from Hulu’s Big Data Infrastructure, tackling memory management, data collection, and performance tuning. An Apache committer and PMC member, he’s known for making storage and query subsystems more robust and user-friendly, including human-readable memory displays and configurable executor settings. Based in Beijing with a Peking University CS master’s, Quanlong balances rigorous academic grounding with hands-on fixes for subtle bugs (e.g., buffer overflows and Spark compatibility issues), demonstrating a knack for reliability and performance in distributed data platforms.
10 years of coding experience
7 years of employment as a software developer
硕士, 计算机软件与理论, 硕士, 计算机软件与理论 at 北京大学
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (29)
debugging10
hadoop-mapreduce10
apache-spark10
debug10
c-language10
back-end-development10
mapreduce10
hadoop10
java10
javas10
orc10
cprogramming-language10
data-structure9
json9
big-data9
Programming languages (5)
Github contributions (5)
apache/impala
Jan 2018 - Jan 2023
Apache Impala
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 239 commits, 1 branch in 5 years
Contributions summary:Quanlong primarily focused on enhancing the catalogd web UI, improving the memory management, and displaying human-readable sizes. Their contributions involved modifying the catalog server code to sort table memory by size, modifying JavaScript utility functions to convert byte values into human-readable formats, and adding new functionality to the query backend page. The user also addressed bugs and implemented changes to existing tests within the project. Their work includes refactoring code and working with tools related to API implementation.
apache-impalaparquetolapsqlapache
apache/orc
Mar 2018 - May 2022
Apache ORC - the smallest, fastest columnar storage for Hadoop workloads
Role in this project:Back-end Developer
Back-end DeveloperContributions:80 reviews, 52 commits, 38 PRs in 4 years 2 months
Contributions summary:Deepak Majeti's contributions focused on improving the Apache ORC codebase, a columnar storage format for Hadoop workloads, through bug fixes and code enhancements. The commits addressed issues like buffer overflows, incorrect decimal scale handling, and null pointer exceptions within the `c++/src/ColumnReader.cc` file. These fixes and improvements were crucial for data integrity and efficient processing within the ORC file format. Additionally, the commits demonstrate a focus on ensuring the robustness of ORC file handling.
orccppworkloadscolumnar-storagefastest
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