Скачать или смотреть HBase Hotspotting

In HBase, all read and write requests should be uniformly distributed across all of the regions in the Region Servers. Hotspotting occurs when a given region serviced by a single Region Server receives most or all of the read or write requests.
In this post, we are discussing HBase Hotspotting. So read the full caption to more about this...

📍 HBase Hotspotting's Consequences:
HBase will process the read and write requests based on the row key. The row key is instrumental for HBase to be able to take advantage of all regions equally. When a hotspot occurs, the Region Server trying to process all of the requests can become overwhelmed while the other Region Servers are mostly idle. Figure 16-1 illustrates a region being hotspotted. The higher the load is on a single Region Server, the more I/O intensive and blocking processes that will have to be executed (e.g., compactions, garbage collections, and region split). Hotspotting can also result in increased latencies, which from the client side create timeouts or missed SLAs.
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