Is t开发者_如何学Pythonhere a guideline for estimating the amount of memory consumed by a BigDecimal
?
Looking for something similar to these guidelines for estimating String
memory usage.
If you look at the fields in the source for BigDecimal
there is:
BigDecimal:
long intCompact +8 bytes
int precision +4 bytes
int scale +4 bytes
String stringCache +?
BigInteger intVal +?
BigInteger:
int bitCount +4 bytes
int bitLength +4 bytes
int firstNonzeroIntNum +4 bytes
int lowestSetBit +4 bytes
int signum +4 bytes
int[] mag +?
The comment for stringCache
says
Used to store the canonical string representation, if computed.
Assuming you don't call .toString()
, it will remain zero bytes. Hence BigDecimal
is (8+4+4)=16 bytes + BigInteger
.
BigInteger
itself is 4+4+4+4+4=20 bytes + mag
.
20+16 gives total of 36 bytes plus the magnitude, which is always the minimum number of bits necessary to represent the full integer. For a number n
it will need log2(n)
bits, which can be converted to ints. You should be using about:
36 + Ceiling(log2(n)/8.0) bytes
(note this doesn't include any of the other object descriptor overhead as your example link for strings does, but it should give you a good general idea.)
If you dig into the internals of BigDecimal
you'll see that it uses a compact representation if the significand is <= Long.MAX_VALUE
. Hence, the memory usage can vary depending on the actual values you're representing.
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