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https://github.com/arjunsk/arjunsk
https://github.com/arjunsk/arjunsk
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/arjunsk/arjunsk
- Owner: arjunsk
- Created: 2020-08-04T14:40:19.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-04-01T16:52:55.000Z (9 months ago)
- Last Synced: 2024-10-16T08:12:09.796Z (3 months ago)
- Size: 121 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### 👋 Hi, I am Arjun
I am currently learning about `JOIN`.
#### 🍭 Recent projects I'm working on
- [matrixorigin/matrixone](https://github.com/arjunsk/matrixone) - A hyper-converged cloud native DBMS
#### 📚 Go Libraries
- [arjunsk/kmeans](https://github.com/arjunsk/kmeans) - Go library implementing Elkan's Kmeans algorithm
- [arjunsk/lotsaa](https://github.com/tiny-modules/lotsaa) - Go library for executing lots of operations spread over any number of threads for a fixed duration/op-count.
- [arjunsk/intervalst](https://github.com/arjunsk/intervalst) - Go implementation of Interval Search Tree.
[//]: # (#### 📋 Recent papers I've read)
[//]: # (- [Spanner](https://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - Distributed Transaction using True Time)
#### ✏️ Recent Blog posts
- [Build Tiny DB](https://medium.com/javarevisited/build-a-tiny-database-in-java-ca6d3f06e115) - Parser, Planner, Storage Engine, Calcite, ANTLR
- [Build Tiny Compiler](https://medium.com/javarevisited/build-a-tiny-compiler-in-java-662f67a1ce85) - Lexer, Parser, Semantic analysis, ASM Code Generation
- [Spatial Partitioned RDD using KD Tree in Spark](https://medium.com/sys-base/spatial-partitioned-rdd-using-kd-tree-in-spark-102e0b53564b) - Spatial Partitioning, KD tree, Epsilon approximation
[//]: # (#### 📗 Featured Resources)
[//]: # (- [Patterns of Distributed Systems](https://martinfowler.com/articles/patterns-of-distributed-systems/) - Good for learning more about Spanner 2PC etc.)
[//]: # (- [Algorithms and Data Structures for Massive Datasets](https://www.amazon.com/Algorithms-Data-Structures-Massive-Datasets/dp/1617298034) - Great for learning about new data structures.)
[//]: # (- [Database Design and Implementation](https://www.amazon.com/dp/3030338355/) - Great for understanding embedded Java databases like Apache Derby)
