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.

Shallow Size Retained Size Java
Shallow Size Vs Retained Size Calculator
Shallow Size Vs Retained Size
Chrome Inspect Shallow Size Vs Retained Size

Shallow size – size of the object itself including only references to other objects, without objects which are referenced. Retained size – size of the object including references to other objects. The Shallow size column displays the sum of shallow sizes of all objects created by a certain constructor function. The Retained size column displays the maximum retained size among the same set of objects. The.Distance.displays the distance to the root using the shortest simple path of nodes. On the filesystem the hprof size is of 5.227.659 kb and in yourkit it states: Objects: 9.738.282 / shallow size 740 mb / retained size: 740 mb String reachable among them: 6.652.515 (68%) / shallow size: 381 mb (51%) / retained size: 381 MB (51%) The largest retained size is a byte of 206.810.176. As can be noted, CNN’s performance is overall poorer than PCA + RR and SVR. This gap is especially clear for the smaller sample sizes, but it remains statistically significant even for the largest one (p = 0.036, two-tailed, for SVR vs. CNN at size 90). Nevertheless, the different models show markedly different patterns in terms of the effect.

What is the size of a particular data structure?
“Can I fit all these objects into my ehCache?”

This article is the second post in the series where we try to answer those questions. The last post explained the difference between retained and shallow sizes of an object. In the article we also offered an example of how to calculate retained heap size of a data structure. In today’s article we will expand on what we called “simple” in the previous post. Namely – what is and how to measure shallow heap used by an object.

In the first post we pushed a whole lot of complexity away by stating that calculating shallow heap size is easy – it consists of only the heap occupied by the object itself. But how do you calculate how much memory does the object “itself” require? Apparently there is a formula for it:

Shallow Heap Size = [reference to the class definition] + space for superclass fields + space for instance fields + [alignment]

Does not seem too helpful, eh? Let’s try to apply the formula using the following sample code:

Post hp Bios update. not able to boot or install Catalina/majavo. Now, the question we strive to answer is – how much shallow heap size does an instance of a Y require? Lets start calculating it, assuming that we are on a 32-bit x86 architecture:

As a starting point – Y is a subclass of X, so its size includes “something” from the superclass. Thus, before calculating the size of Y, we look into calculating the shallow size of X.

Jumping into the calculations on X, first 8 bytes are used to refer its class definition. This reference is always present in all Java objects and is used by JVM to define the memory layout of the following state. It also has three instance variables – an int, an Integer and a byte. Those instance variables require heap as follows:

a byte is what it is supposed to be. 1 byte in a memory.
an int in our 32bit architecture requires 4 bytes.
a reference to the Integer requires also 4 bytes. Note that when calculating retained heap, we should also take into account the size of a primitive wrapped into the Integer object, but as we are calculating shallow heap here, we only use the reference size of 4 bytes in our calculations.

So – is that it? Shallow heap of X = 8 bytes from reference to the class definition + 1 byte (the byte) + 4 bytes (the int) + 4 bytes (reference to the Integer) = 17 bytes?In fact – no. What now comes into play is called alignment (also called padding). It means that the JVM allocates the memory in multiples of 8 bytes, so instead of 17 bytes we would allocate 24 bytes if we would create an instance of X.

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If you could follow us until here, good, but now we try to get things even more complex. We are NOT creating an instance of X, but an instance of Y. What this means is – we can deduct the 8 bytes from the reference to the class definition and the alignment. It might not be too obvious at first place but – did you note that while calculating the shallow size of X we did not take into account that it also extends java.lang.Object as all classes do even if you do not explicitly state it in your source code? We do not have to take into account the header sizes of superclasses, because JVM is smart enough to check it from the class definitions itself, instead of having to copy it into the object headers all the time.

The same goes for alignment – when creating an object you only align once, not at the boundaries of superclass/subclass definitions. So we are safe to say that when creating a subclass to X you will only inherit 9 bytes from the instance variables.

Finally we can jump to the initial task and start calculating the size of Y. As we saw, we have already lost 9 bytes to the superclass fields. Let’s see what will be added when we actually construct an instance of Y.

Y’s headers referring to its class definition consume 8 bytes. The same as with previous ones.
The Date is a reference to an object. 4 bytes. Easy.
The List is a reference to a collection. Again 4 bytes. Trivial.

Shallow size vs retained size calculator

So in addition to the 9 bytes from the superclass we have 8 bytes from the header, 2×4 bytes from the two references (the List and the Date). The total shallow size for the instance of Y would be 25 bytes, which get aligned to 32.

To make the calculations somewhat easier to follow, we have aggregated it on the following diagram:

1	2	9	10	14	15	17	19	23	25
Align		Align				Align			Align
X	Object		a	b	c
Y	Object		a	b	c		d	e

What can you do with this knowledge? Together with the skills to calculate the size of retained heap (covered in my recent post), you now possess the ultimate power to calculate how much memory your data structures actually require.

To make things even more interesting, we have created an utility that measures the sizes of both shallow and retaine

Shallow Size Vs Retained Size