| Java Object Size | |
|---|---|
| type | size in bytes |
| overhead | ~8 bytes/object |
| boolean | 1 |
| byte | 1 |
| char | 2 |
| short | 2 |
| int | 4 |
| long | 8 |
| float | 4 |
| double | 8 |
| reference | 4/8† |
| String | length * 2 + 4 |
A JVM is free to store data any way it pleases internally, big or little endian, with any amount of padding or overhead, though primitives must behave as if they had the official sizes. For example, the JVM or native compiler might decide to store a boolean[] in 64-bit long chunks like a BitSet. It does not have to tell you, so long as the program gives the same answers. It might allocate some temporary Objects on the stack. It may optimise some variables or method calls totally out of existence replacing them with constants. It might version methods or loops, i.e. compile two versions of a method, each optimised for a certain situation, then decide up front which one to call. Then of course the hardware and OS have multilayer caches, on chip-cache, SRAM cache, DRAM cache, ordinary RAM working set and backing store on disk. Your data may be duplicated at every cache level. All this complexity means you can only very roughly predict RAM consumption.
There is a header on each object, typically 8 bytes for objects and 12 bytes for arrays, and 16 bytes in JET.
In JDK 1.5+ you can use java.lang.instrument.Instrumentation. getObjectSize()
Other methods you may find useful in estimating RAM use:
| Java Primitives | |||||||
|---|---|---|---|---|---|---|---|
| Type | Signed? | Bits | Bytes | Digits | Lowest | Highest | Mnemonic |
| boolean | n/a | 1 | 1 | 1 | false | true | zero/one |
| char | unsigned Unicode | 16 | 2 | 4:5 | '\u0000' [0] aka Character.MIN_VALUE | '\uffff' [216-1] aka Character.MAX_VALUE | Unicode chars are twice as big as C’s. |
| byte | signed | 8 | 1 | 2:3 | -128 [-27] aka Byte.MIN_VALUE | +127 [27-1]aka Byte.MAX_VALUE | Bytes are signed, so half the usual 255 range. |
| short | signed | 16 | 2 | 4:5 | -32,768 [-215] aka Short.MIN_VALUE | +32,767 [215-1] aka Short.MAX_VALUE | 32K |
| int | signed | 32 | 4 | 9:10 | -2,147,483,648 [-231] aka Integer.MIN_VALUE | +2,147,483,647 [231-1] aka Integer.MAX_VALUE | 2 gig |
| long | signed | 64 | 8 | 18:19 | -9,223,372,036,854,775,808 [-263] aka Long. MIN_VALUE | +9,223,372,036,854,775,807 [263-1] aka Long. MAX_VALUE | 9 exabytes, or 9 billion gig |
| float | signed exponent and mantissa | 32 | 4 | 6:7 | ±1.40129846432481707e-45 aka Float.MIN_VALUE | ±3.40282346638528860e+38 aka Float.MAX_VALUE
or roughly ±2127 with 6 to 7 significant digits of accuracy. A float can exactly represent integers in the range -224 to +224. |
rough, compact float |
| double | signed exponent and mantissa | 64 | 8 | 14:15 | ±4.94065645841246544e-324 aka Double.MIN_VALUE | ±1.79769313486231570e+308 aka Double.MAX_VALUE
or roughly ±21023 with 14 to 15 significant digits of accuracy. A double can exactly represent integers in the range -253 to +253. |
high precision float |
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