Storage Memory Usage Benchmark
Two elements of etcd storage devour physical memory. The etcd process allocates an in-Memory Wave index to hurry key lookup. The process’s page cache, managed by the working system, shops lately-accessed knowledge from disk for fast re-use. The in-memory index holds all the keys in a B-tree data construction, Memory Wave Routine together with pointers to the on-disk knowledge (the values). Each key in the B-tree may contain a number of pointers, pointing to totally different versions 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 isn't coated in detail in this document. On this test, we only benchmark the memory usage of the in-Memory Wave Routine index. The aim is to find c1 and c2 talked about above and to grasp the exhausting limit of memory consumption of the storage.
We calculate the memory usage consumption by way of the Go runtime.ReadMemStats. We calculate the overall allotted bytes distinction before creating the index and after creating the index. It can't perfectly mirror the memory usage of the in-memory index itself however can show the tough consumption sample. 30bytes. We only want two units of knowledge to calculate c1 and Memory Wave c2, since they are the one unknown variable within the system. 30bytes are the average worth of the 4 units of c1 and c2 we calculated. The key metadata overhead continues to be comparatively nontrivial (50%) for small key-value pairs. Nevertheless, this is a major improvement over the old store, which had at the least 1000% overhead. The overall memory utilization captures how much RSS etcd consumes with the storage. The worth measurement ought to have little or no influence on the overall memory utilization of etcd, since we keep values on disk and only retain sizzling values in memory, managed by the OS web page cache. Based on the outcome, we know the worth dimension doesn't significantly impact the memory consumption. There is some minor improve resulting from more information held in the OS page cache. Was this page useful? Glad to listen to it! Please tell us how we can enhance. Sorry to listen to that. Please inform us how we can improve.
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