Shallow heap is the memory consumed by one object . An object needs 32 or 64 bits (depending on the OS architecture) per reference, 4 bytes per Integer, 8 bytes per Long, etc. Depending on the heap dump format the size may be adjusted (e.g. aligned to 8, etc…) to model better the real consumption of the VM.
Retained set of X is the set of objects which would be removed by GC when X is garbage collected.
Retained heap of X is the sum of shallow sizes of all objects in the retained set of X , i.e. memory kept alive by X.
Generally speaking, shallow heap of an object is its size in the heap and retained size of the same object is the amount of heap memory that will be freed when the object is garbage collected .
The Minimum Retained Size gives a good (under)estimation of the retained size which is calculated ways faster than the exact retained size of a set of objects. It only depends on the number of objects in the inspected set , not the number of objects in the heap dump.
Memory Analyzer provides a dominator tree of the object graph. The transformation of the object reference graph into a dominator tree allows you to easily identify the biggest chunks of retained memory and the keep-alive dependencies among objects .
An object x dominates an object y if every path in the object graph from the start (or the root) node to y must go through x.
The immediate dominator x of some object y is the dominator closest to the object y.
A dominator tree is built out of the object graph. In the dominator tree each object is the immediate dominator of its children , so dependencies between the objects are easily identified.
纬度:组件
纬度:自身编写的代码
MAT默认按 Shallow Heap 倒排,手动选择按 Retained Heap 倒排,排第一的是 Ehcache 的 OnHeapStore 类