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# uber-sites

**[Uber Engineering](https://daily.dev/sources/uber)** · 9 min read · 0 upvotes · 0 comments

## Summary

Uber has developed a new algorithm to optimize the HDFS balancer, increasing data balance and throughput in their large-scale data storage clusters. The algorithm focuses on increasing the number of DataNode pairs, prioritizing smaller occupied DataNodes, and improving observability. As a result, the throughput increased by more than 5x, highly utilized DataNodes were brought down to 0%, overall usage of DataNodes was reduced, and cluster utilization improved.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.uber.com/en-JO/blog/balancing-hdfs-datanodes-in-the-uber-datalake/>

---

Tags: [#apache-hadoop](https://daily.dev/tags/apache-hadoop)

[View this post on daily.dev](https://daily.dev/posts/uber-sites-cteihjinc)

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