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.
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