Storage Memory Usage Benchmark

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Revision as of 21:34, 2 December 2025 by ArliePeeples (talk | contribs) (Created page with "<br>Two elements of etcd storage consume physical memory. The etcd process allocates an in-memory index to hurry key lookup. The process’s web page cache, managed by the working system, shops lately-accessed knowledge from disk for quick re-use. The in-memory index holds all the keys in a B-tree data construction, together with pointers to the on-disk knowledge (the values). Each key in the B-tree may comprise multiple pointers, pointing to totally different variations...")
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Two elements of etcd storage consume physical memory. The etcd process allocates an in-memory index to hurry key lookup. The process’s web page cache, managed by the working system, shops lately-accessed knowledge from disk for quick re-use. The in-memory index holds all the keys in a B-tree data construction, together with pointers to the on-disk knowledge (the values). Each key in the B-tree may comprise multiple pointers, pointing to totally different variations of its values. 1 is the important thing metadata overhead and c2 is the version metadata overhead. The graph shows the detailed structure of the in-memory index B-tree. Web page cache memory is managed by the working system and is not coated intimately in this doc. On this take a look at, we solely benchmark the memory utilization of the in-memory index. The purpose is to seek out c1 and c2 talked about above and Memory Wave memory booster to understand the onerous restrict of memory consumption of the storage.



We calculate the memory utilization consumption through the Go runtime.ReadMemStats. We calculate the entire allotted bytes distinction earlier than creating the index and after creating the index. It can't completely replicate the memory utilization of the in-memory index itself however can present the rough consumption pattern. 30bytes. We only need two units of knowledge to calculate c1 and c2, since they are the only unknown variable within the system. 30bytes are the common worth of the four units of c1 and c2 we calculated. The important thing metadata overhead continues to be relatively nontrivial (50%) for small key-value pairs. However, that is a significant enchancment over the old retailer, which had a minimum of 1000% overhead. The overall Memory Wave memory booster usage captures how much RSS etcd consumes with the storage. The value measurement should have very little influence on the general memory utilization of etcd, since we keep values on disk and solely retain scorching values in memory, managed by the OS web page cache. Based mostly on the result, we know the value size does not considerably impression the memory consumption. There is some minor increase as a result of more information held within the OS page cache. Was this web page helpful? Glad to hear it! Please tell us how we are able to improve. Sorry to listen to that. Please tell us how we can enhance.



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