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In a previous post, I described a sharding system to scale throughput and performance for query and ingest workloads. In this post, I will introduce another common technique, partitioning, that provides further advantages in performance and management for a sharding database. I will also describe how to handle partitions efficiently for both query and ingest workloads, and how to manage cold (old) partitions where the read requirements are quite different from the hot (recent) partitions.
April 23, 2024
April 16, 2024
April 11, 2024
April 4, 2024
March 28, 2024
April 4, 2024
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March 28, 2024
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