CompactibleFreeListSpace
EdenSpace讲解了CMS算法中表示Ffrom和To区的ContiguousSpace,表示Eden区的EdenSpace和ConcEdenSpace,本篇继续讲解Space的子类CompactibleFreeListSpace及其相关类的实现,该类用来表示CMS算法的老年代的内存区域。
FreeChunk
FreeChunk的定义位于hotspot\src\share\vm\gc_implementation\concurrentMarkSweep\freeChunk.hpp中,是CMS中用来表示一个空闲的内存块,其包含的属性如下:
image.pngFreeChunk也是位于老年代的堆内存中,怎么跟正常的Java对象区分了?如果是32位或者64位下不开启UseCompressedOops则通过prev字段的地址最后一位来标识,如果是64位下开启UseCompressedOops则通过size字段来标识,参考如下方法的实现:
//根据addr判断这是否是一个FreeChunk,如果是返回true
static bool indicatesFreeChunk(const HeapWord* addr) {
return ((volatile FreeChunk*)addr)->is_free();
}
bool is_free() const volatile {
LP64_ONLY(if (UseCompressedOops) return mark()->is_cms_free_chunk(); else)
return (((intptr_t)_prev) & 0x1) == 0x1;
}
markOop mark() const volatile { return (markOop)_size; }
//size属性的读写
size_t size() const volatile {
LP64_ONLY(if (UseCompressedOops) return mark()->get_size(); else )
return _size;
}
void set_size(size_t sz) {
LP64_ONLY(if (UseCompressedOops) set_mark(markOopDesc::set_size_and_free(sz)); else )
_size = sz;
}
void set_mark(markOop m) { _size = (size_t)m; }
//prev属性的读写,|0x1就是将ptr地址的最后一位变成1,ptr因为需要按照内存页对齐,所以ptr通常最后的N位都是0,N位取决于内存页的大小
void link_prev(FreeChunk* ptr) {
LP64_ONLY(if (UseCompressedOops) _prev = ptr; else)
_prev = (FreeChunk*)((intptr_t)ptr | 0x1);
}
FreeChunk* prev() const {
//& ~(0x3)实际就是把ptr地址的最后两位换成0,最后一位表示是否是FreeChunk,倒数第二位用于表示该FreeChunk不能执行合并
return (FreeChunk*)(((intptr_t)_prev) & ~(0x3));
}
//将FreeChunk标记为非Free
void markNotFree() {
// Set _prev (klass) to null before (if) clearing the mark word below
_prev = NULL;
#ifdef _LP64
if (UseCompressedOops) {
OrderAccess::storestore();
set_mark(markOopDesc::prototype());
}
#endif
assert(!is_free(), "Error");
}
bool cantCoalesce() const {
assert(is_free(), "can't get coalesce bit on not free");
return (((intptr_t)_prev) & 0x2) == 0x2;
}
//dontCoalesce用于标记当前FreeChunk不支持合并成一个更大的FreeChunk
void dontCoalesce() {
// the block should be free
assert(is_free(), "Should look like a free block");
//| 0x2将prev地址的倒数第二位置为1
_prev = (FreeChunk*)(((intptr_t)_prev) | 0x2);
}
理解上述逻辑的关键在于,FreeChunk的前2个字宽和普通的Java对象即OopDesc是一致的,OopDesc的定义如下:
markOop其实是markOopDesc*的别名,也是一个指针,对应于FreeChunk的size属性,size_t的长度跟指针的长度是一致的,对应一个字宽,64位下8字节,32位下4字节;第二个字宽,_metadata对应于_prev。在64位下开启指针压缩的条件下,都读取第一个字宽的数据,在32位或者64位下不开启指针压缩时都读取第二个字宽的数据,然后根据特殊的位来判断是否是FreeChunk。
PromotionInfo
PromotionInfo的定义在同目录的promotionInfo.hpp中,主要用于保存分配的oop,并在必要时保存oop的对象头。其包含的属性如下:
- CompactibleFreeListSpace* _space; //关联的CompactibleFreeListSpace
- PromotedObject* _promoHead; // PromotedObject链表的头元素
- PromotedObject* _promoTail; // PromotedObject链表的尾元素
- SpoolBlock* _spoolHead; // SpoolBlock链表的头元素
- SpoolBlock* _spoolTail; // SpoolBlock链表的尾元素
- SpoolBlock* _splice_point; // 临时保存上一个spoolTail
- SpoolBlock* _spareSpool; // 已经遍历完成的SpoolBlock链表
- size_t _firstIndex; // spoolHead中下一个遍历的markOop的索引
- size_t _nextIndex; // spoolTail中下一个分配的markOop的索引
重点关注以下方法的实现。
1、SpoolBlock
SpoolBlock继承自FreeChunk,用来保存被替换的对象头的,其定义在同目录的promotionInfo.hpp中。SpoolBlock增加了三个属性,如下:
其中bufferSize表示该Block可容纳的markOop的个数,displacedHdr表示保存的被替换的对象头markOop的数组。 重点关注其init方法的实现即可,如下:
void init() {
bufferSize = computeBufferSize();
//显示的初始化displacedHdr
displacedHdr = (markOop*)&displacedHdr;
nextSpoolBlock = NULL;
}
size_t computeBufferSize() {
//size方法该内存块总的大小,减去SpoolBlock属性本身占用的空间就是剩余的可用空间了
return (size() * sizeof(HeapWord) - sizeof(*this)) / sizeof(markOop);
}
2、PromotedObject
PromotedObject表示一个经过promoted的oop,是oop强转而来的,从而操作oop的对象头,其定义的属性是一个union结构,如下:
_next属性和_data属性都是一个字宽,因此这个union属性就是一个字宽,在内存结构上刚好对应于OopDesc的表示对象头的_mark属性,操作union属性实际就是操作对象的对象头。重点关注其next和setNext方法的实现,如下:
inline PromotedObject* next() const {
//校验当前这个PromotedObject不是FreeChunk
assert(!((FreeChunk*)this)->is_free(), "Error");
PromotedObject* res;
if (UseCompressedOops) {
// The next pointer is a compressed oop stored in the top 32 bits
res = (PromotedObject*)oopDesc::decode_heap_oop(_data._narrow_next);
} else {
res = (PromotedObject*)(_next & next_mask);
}
//校验res是oop
assert(oop(res)->is_oop_or_null(true /* ignore mark word */), "Not an oop?");
return res;
}
inline void setNext(PromotedObject* x) {
//校验表示next的位没有被占用
assert(((intptr_t)x & ~next_mask) == 0, "Conflict in bit usage, "
"or insufficient alignment of objects");
if (UseCompressedOops) {
assert(_data._narrow_next == 0, "Overwrite?");
_data._narrow_next = oopDesc::encode_heap_oop(oop(x));
} else {
//|=的效果和=是一致的
_next |= (intptr_t)x;
}
assert(!((FreeChunk*)this)->is_free(), "Error");
}
即通过对象头可以把相关的oop串联起来。
3、track
track方法用于跟踪某个oop,具体来说是将这个oop放入PromotionInfo保存的PromotedObject链表中,并必要时保存原oop的对象头。其调用链如下:
其实现如下:
void PromotionInfo::track(PromotedObject* trackOop) {
track(trackOop, oop(trackOop)->klass());
}
void PromotionInfo::track(PromotedObject* trackOop, Klass* klassOfOop) {
// make a copy of header as it may need to be spooled
markOop mark = oop(trackOop)->mark();
//实际是清除原来的对象头,后面的setDisplacedMark和setPromotedMark相当于替换了原来的对象头
trackOop->clear_next();
//如果有偏向锁了
if (mark->must_be_preserved_for_cms_scavenge(klassOfOop)) {
//保存原来的对象头,然后设置DisplacedMark
saveDisplacedHeader(mark);
trackOop->setDisplacedMark();
} else {
}
//如果_promoTail不为空则插入到_promoTail的后面
if (_promoTail != NULL) {
assert(_promoHead != NULL, "List consistency");
_promoTail->setNext(trackOop);
_promoTail = trackOop;
} else {
//_promoTail为空,初始化_promoHead和_promoTail
assert(_promoHead == NULL, "List consistency");
_promoHead = _promoTail = trackOop;
}
//设置PromotedMark
assert(!trackOop->hasPromotedMark(), "Should not have been marked");
trackOop->setPromotedMark();
}
inline void clear_next() {
_next = 0;
assert(!((FreeChunk*)this)->is_free(), "Error");
}
void PromotionInfo::saveDisplacedHeader(markOop hdr) {
assert(_spoolHead != NULL && _spoolTail != NULL,
"promotionInfo inconsistency");
assert(_spoolTail->bufferSize > _nextIndex, "Off by one error at tail?");
//保存对象头hdr
_spoolTail->displacedHdr[_nextIndex] = hdr;
//_nextIndex加1后等于_spoolTail->bufferSize,说明_spoolTail已经没有可用空间存储新的markOop了
if (++_nextIndex == _spoolTail->bufferSize) { // last location in this block
// get a new spooling block
assert(_spoolTail->nextSpoolBlock == NULL, "tail should terminate spool list");
//_splice_point用于临时的保存上一个_spoolTail
_splice_point = _spoolTail; // save for splicing
//获取一个新的SpoolBlock,插入到_spoolTail的后面,然后更新_spoolTail
_spoolTail->nextSpoolBlock = getSpoolBlock(); // might fail
_spoolTail = _spoolTail->nextSpoolBlock; // might become NULL ...
//置为1,下次分配就从索引为1的位置保存
_nextIndex = 1;
}
}
inline void setDisplacedMark() {
_next |= displaced_mark;
assert(!((FreeChunk*)this)->is_free(), "Error");
}
inline void setPromotedMark() {
_next |= promoted_mask;
assert(!((FreeChunk*)this)->is_free(), "Error");
}
inline bool hasPromotedMark() const {
assert(!((FreeChunk*)this)->is_free(), "Error");
return (_next & promoted_mask) == promoted_mask;
}
inline bool markOopDesc::must_be_preserved_for_cms_scavenge(Klass* klass_of_obj_containing_mark) const {
//UseBiasedLocking表示是否使用偏向锁,默认为true
if (!UseBiasedLocking)
return (!is_unlocked() || !has_no_hash());
return must_be_preserved_with_bias_for_cms_scavenge(klass_of_obj_containing_mark);
}
inline bool markOopDesc::must_be_preserved_with_bias_for_cms_scavenge(Klass* klass_of_obj_containing_mark) const {
assert(UseBiasedLocking, "unexpected");
//has_bias_pattern方法表示已经有偏向锁了
if (has_bias_pattern() ||
klass_of_obj_containing_mark->prototype_header()->has_bias_pattern()) {
return true;
}
return (!is_unlocked() || !has_no_hash());
}
bool is_unlocked() const {
return (mask_bits(value(), biased_lock_mask_in_place) == unlocked_value);
}
bool has_bias_pattern() const {
return (mask_bits(value(), biased_lock_mask_in_place) == biased_lock_pattern);
}
4、 promoted_oops_iterate
promoted_oops_iterate实际有多个方法,都是用来遍历PromotedObject链表中的oop所引用的其他oop,如下图:
这些方法的定义和实现都是通过宏实现的,如下:
//SPECIALIZED_SINCE_SAVE_MARKS_CLOSURES_YOUNG宏定义不同类型的OopClosureType和nv_suffix
//PROMOTED_OOPS_ITERATE_DEFN定义具体的方法实现
SPECIALIZED_SINCE_SAVE_MARKS_CLOSURES_YOUNG(PROMOTED_OOPS_ITERATE_DEFN)
PROMOTED_OOPS_ITERATE_DEFN(OopsInGenClosure,_v)
#define PROMOTED_OOPS_ITERATE_DEFN(OopClosureType, nv_suffix) \
\
void PromotionInfo::promoted_oops_iterate##nv_suffix(OopClosureType* cl) { \
NOT_PRODUCT(verify()); \
PromotedObject *curObj, *nextObj; \
//从_promoHead开始遍历
for (curObj = _promoHead; curObj != NULL; curObj = nextObj) { \
//获取下一个遍历对象
if ((nextObj = curObj->next()) == NULL) { \
//遍历完成将_promoHead和_promoTail都置为NULL
assert(_promoTail == curObj, "Should have been the tail"); \
_promoHead = _promoTail = NULL; \
} \
//如果对象头被替换了
if (curObj->hasDisplacedMark()) { \
/* 获取原来的对象头并恢复 */ \
oop(curObj)->set_mark(nextDisplacedHeader()); \
} else { \
/* 恢复成初始状态的对象头 */ \
oop(curObj)->init_mark(); \
} \
/* The "promoted_mark" should now not be set */ \
assert(!curObj->hasPromotedMark(), \
"Should have been cleared by restoring displaced mark-word"); \
NOT_PRODUCT(_promoHead = nextObj); \
//遍历curObj对象所有引用类型属性oop
if (cl != NULL) oop(curObj)->oop_iterate(cl); \
if (nextObj == NULL) { /* start at head of list reset above */ \
nextObj = _promoHead; \
} \
} \
//校验遍历完成的结果
assert(noPromotions(), "post-condition violation"); \
assert(_promoHead == NULL && _promoTail == NULL, "emptied promoted list");\
assert(_spoolHead == _spoolTail, "emptied spooling buffers"); \
assert(_firstIndex == _nextIndex, "empty buffer"); \
}
bool noPromotions() const {
assert(_promoHead != NULL || _promoTail == NULL, "list inconsistency");
return _promoHead == NULL;
}
markOop PromotionInfo::nextDisplacedHeader() {
//校验参数
assert(_spoolHead != NULL, "promotionInfo inconsistency");
assert(_spoolHead != _spoolTail || _firstIndex < _nextIndex,
"Empty spool space: no displaced header can be fetched");
assert(_spoolHead->bufferSize > _firstIndex, "Off by one error at head?");
markOop hdr = _spoolHead->displacedHdr[_firstIndex];
//增加_firstIndex,如果增加后的值等于 _spoolHead->bufferSize说明该SpoolBlock保存的markOop已经遍历完了
if (++_firstIndex == _spoolHead->bufferSize) { // last location in this block
//将_spoolHead归还到_spareSpool中,_spoolHead的nextSpoolBlock作为新的_spoolHead
SpoolBlock* tmp = _spoolHead->nextSpoolBlock;
assert(_spoolHead != _spoolTail, "Spooling storage mix-up");
_spoolHead->nextSpoolBlock = _spareSpool;
_spareSpool = _spoolHead;
_spoolHead = tmp;
//对新的spoolHead,_firstIndex被置为1,下一次遍历从索引为1的位置开始
_firstIndex = 1;
}
return hdr;
}
//返回一个SpoolBlock的大小
size_t PromotionInfo::refillSize() const {
const size_t CMSSpoolBlockSize = 256;
//heap_word_size方法返回字宽数
const size_t sz = heap_word_size(sizeof(SpoolBlock) + sizeof(markOop)
* CMSSpoolBlockSize);
//adjustObjectSize方法是按照对象分配的最低大小对齐
return CompactibleFreeListSpace::adjustObjectSize(sz);
}
SpoolBlock* PromotionInfo::getSpoolBlock() {
SpoolBlock* res;
//优先从空闲的SpoolBlock链表上分配
if ((res = _spareSpool) != NULL) {
_spareSpool = _spareSpool->nextSpoolBlock;
res->nextSpoolBlock = NULL;
} else { // spare spool exhausted, get some from heap
//没有空闲的SpoolBlock,refillSize方法返回SpoolBlock的大小
res = (SpoolBlock*)(space()->allocateScratch(refillSize()));
if (res != NULL) {
//初始化SpoolBlock
res->init();
}
}
assert(res == NULL || res->nextSpoolBlock == NULL, "postcondition");
return res;
}
5、ensure_spooling_space
ensure_spooling_space用于判断是否有充足的空闲保存markOop,如果没有则获取一个新的SpollBlock,如果获取失败则返回false,否则返回true。其调用链如下:
image.png
其源码如下:
bool ensure_spooling_space() {
return has_spooling_space() || ensure_spooling_space_work();
}
inline bool has_spooling_space() {
//_spoolTail是否有空闲空间
return _spoolTail != NULL && _spoolTail->bufferSize > _nextIndex;
}
//判断能否获取一个新的SpoolBlock
bool PromotionInfo::ensure_spooling_space_work() {
assert(!has_spooling_space(), "Only call when there is no spooling space");
//_spoolTail没有空闲空闲了,尝试获取一个新的SpoolBlock
SpoolBlock* newSpool = getSpoolBlock();
assert(newSpool == NULL ||
(newSpool->bufferSize != 0 && newSpool->nextSpoolBlock == NULL),
"getSpoolBlock() sanity check");
if (newSpool == NULL) {
return false;
}
_nextIndex = 1;
if (_spoolTail == NULL) {
//初始化_spoolTail
_spoolTail = newSpool;
if (_spoolHead == NULL) {
//初始化_spoolHead
_spoolHead = newSpool;
_firstIndex = 1;
} else {
//不会走到此分支不可能_spoolHead不为空而_spoolTail为空
assert(_splice_point != NULL && _splice_point->nextSpoolBlock == NULL,
"Splice point invariant");
_splice_point->nextSpoolBlock = newSpool;
}
} else {
//_spoolTail不为空,插入到_spoolTail的后面
assert(_spoolHead != NULL, "spool list consistency");
_spoolTail->nextSpoolBlock = newSpool;
_spoolTail = newSpool;
}
return true;
}
CompactibleFreeListSpace
1、定义
该类的定义在hotspot\src\share\vm\gc_implementation\concurrentMarkSweep\compactibleFreeListSpace.hpp中,继承自CompactibleSpace,其包含的属性如下:
- const size_t _rescan_task_size; //并行标记阶段一次rescan处理的内存块的大小
- const size_t _marking_task_size; //并行标记阶段一次mark 处理的内存块的大小
- SequentialSubTasksDone _conc_par_seq_tasks; //用来管控执行CMS GC的多个并行线程
- BlockOffsetArrayNonContigSpace _bt; //用于记录已分配的内存块的起始地址
- CMSCollector* _collector; // 关联的CMSCollector
- ConcurrentMarkSweepGeneration* _gen; //关联的ConcurrentMarkSweepGeneration
- static size_t IndexSetStart; //实际赋值等于最小内存块的字宽数
- static size_t IndexSetStride; //实际赋值等于分配对象时的最小字宽数,IndexSetStart和IndexSetStride用来限制_indexedFreeList实际使用的数组元素,如size小于IndexSetStart的_indexedFreeList数组元素实际是不使用的,会据此初始化每一个实际使用的_indexedFreeList数组元素对应的并发内存分配时使用的锁
- PromotionInfo _promoInfo; // 用于保存分配的oop
- static int _lockRank; // _freelistLock使用的锁类型
- mutable Mutex _freelistLock; //并发的从CompactibleFreeListSpace中分配内存时使用的全局锁
- LinearAllocBlock _smallLinearAllocBlock; //用于线性分配小块内存
- FreeBlockDictionary<FreeChunk>::DictionaryChoice _dictionaryChoice; //保存FreeBlockDictionary的实现类型,默认是表示二叉树的dictionaryBinaryTree
- AFLBinaryTreeDictionary* _dictionary; //用于保存大小不规整的,不满足_indexedFreeList支持的内存大小的空闲块
- AdaptiveFreeList<FreeChunk> _indexedFreeList[IndexSetSize];//用来保存不同大小的空闲内存块的链表,内存块的大小从0到IndexSetSize
- bool _fitStrategy; //是否使用最佳适配策略,由配置项UseCMSBestFit决定,默认为true
- bool _adaptive_freelists; // 是否使用自适应空闲chunk 链表,由配置项UseCMSAdaptiveFreeLists决定,默认为true
- HeapWord* _nearLargestChunk;
- HeapWord* _sweep_limit;
- mutable Mutex _parDictionaryAllocLock; //使用_dictionary并行分配内存时使用的锁
- Mutex* _indexedFreeListParLocks[IndexSetSize]; //与_indexedFreeList中实际使用的数组元素一一对应,保存其在并行分配时使用的锁
其中三个静态属性的初始化如下:
image.png其中枚举Mutex::leaf表示锁类型,重点关注以下方法的实现。
CompactibleFreeListSpace定义了一个枚举描述内存分配时使用的常量,如下:
image.png
注意上述常量的单位都是字宽而非字节,即当申请的内存小于16字宽时使用_smallLinearAllocBlock分配内存,当申请的内存小于257字宽时使用_indexedFreeList分配。还有一个枚举FitStrategyOptions描述内存分配的适配侧率,如下:
image.png其中FreeBlockBestFitFirst表示使用CMS内存分配时的最佳适配策略。
属性_smallLinearAllocBlock的类LinearAllocBlock实际只是一个数据结构而已,其定义也在compactibleFreeListSpace.hpp中,如下,具体通过LinearAllocBlock线性分配内存的逻辑都CompactibleFreeListSpace的相关方法中。
image.png其所有属性都是public的, ptr表示分配内存的起始地址,word_size是剩余可分配空间的大小,实际分配过程中会不断往后移动ptr指针,同时减少word_size;refillSize是当LinearAllocBlock剩余可用空间不足时重新申请用来填充LinearAllocBlock的内存块的大小,_allocation_size_limit是通过LinearAllocBlock执行内存分配的内存大小上限,取值就是枚举SmallForLinearAlloc的值。
2、构造方法和set_cms_values
set_cms_values方法是一个静态方法,用来初始化静态属性IndexSetStart和IndexSetStride,在执行构造方法前调用。构造方法用来初始化CompactibleFreeListSpace的相关属性。这两方法的调用链如下:
这两方法的实现如下:
void CompactibleFreeListSpace::set_cms_values() {
// Set CMS global values
assert(MinChunkSize == 0, "already set");
//根据FreeChunk本身的大小计算FreeChunk,MinObjAlignmentInBytes等于配置项ObjectAlignmentInBytes的值,
//该配置项表示对象分配时最小字节数,默认是8
size_t min_chunk_size_in_bytes = align_size_up(sizeof(FreeChunk), MinObjAlignmentInBytes);
MinChunkSize = min_chunk_size_in_bytes / BytesPerWord;
assert(IndexSetStart == 0 && IndexSetStride == 0, "already set");
IndexSetStart = MinChunkSize;
//MinObjAlignment由MinObjAlignmentInBytes换算成对应的字宽数,默认值是1
IndexSetStride = MinObjAlignment;
}
CompactibleFreeListSpace::CompactibleFreeListSpace(BlockOffsetSharedArray* bs,
MemRegion mr, bool use_adaptive_freelists,
FreeBlockDictionary<FreeChunk>::DictionaryChoice dictionaryChoice) :
_dictionaryChoice(dictionaryChoice),
_adaptive_freelists(use_adaptive_freelists),
_bt(bs, mr),
_freelistLock(_lockRank--, "CompactibleFreeListSpace._lock", true),
_parDictionaryAllocLock(Mutex::leaf - 1, // == rank(ExpandHeap_lock) - 1
"CompactibleFreeListSpace._dict_par_lock", true),
_rescan_task_size(CardTableModRefBS::card_size_in_words * BitsPerWord *
CMSRescanMultiple), //CMSRescanMultiple的默认值是32,表示并行rescan任务处理的卡表项的个数
_marking_task_size(CardTableModRefBS::card_size_in_words * BitsPerWord *
CMSConcMarkMultiple), //CMSConcMarkMultiple的默认值是32,表示并行mark任务处理的卡表项的个数
_collector(NULL)
{
assert(sizeof(FreeChunk) / BytesPerWord <= MinChunkSize,
"FreeChunk is larger than expected");
_bt.set_space(this);
//调用父类的initialize方法,初始化父类的相关属性
initialize(mr, SpaceDecorator::Clear, SpaceDecorator::Mangle);
// dictionaryChoice枚举表示FreeBlockDictionary的实现类型,现阶段默认使用二叉树实现,dictionarySplayTree的实现被暂时禁用了
switch (dictionaryChoice) {
case FreeBlockDictionary<FreeChunk>::dictionaryBinaryTree:
_dictionary = new AFLBinaryTreeDictionary(mr);
break;
case FreeBlockDictionary<FreeChunk>::dictionarySplayTree:
case FreeBlockDictionary<FreeChunk>::dictionarySkipList:
default:
warning("dictionaryChoice: selected option not understood; using"
" default BinaryTreeDictionary implementation instead.");
}
assert(_dictionary != NULL, "CMS dictionary initialization");
//初始化_indexedFreeList数组,每个FreeList都是空的,后面按需填充
initializeIndexedFreeListArray();
//use_adaptive_freelists参数最终由配置项UseCMSAdaptiveFreeLists决定,该配置项默认为true
//注意如果使用adaptive_freelists分配内存,则优先从_smallLinearAllocBlock中分配
if (!use_adaptive_freelists) {
//如果不使用adaptive_freelists分配内存
FreeChunk* fc = _dictionary->get_chunk(mr.word_size(),
FreeBlockDictionary<FreeChunk>::atLeast);
HeapWord* addr = (HeapWord*) fc;
_smallLinearAllocBlock.set(addr, fc->size() ,
1024*SmallForLinearAlloc, fc->size());
} else {
//SmallForLinearAlloc是枚举,值为16
_smallLinearAllocBlock.set(0, 0, 1024*SmallForLinearAlloc,
SmallForLinearAlloc);
}
// CMSIndexedFreeListReplenish是一个配置项,表示使用多少个chunk填充_indexedFreeList,默认值是4
//这里是校验其不小于1
CMSIndexedFreeListReplenish = MAX2((uintx)1, CMSIndexedFreeListReplenish);
_promoInfo.setSpace(this);
//UseCMSBestFit表示使用CMS的最佳适配策略,默认是true
if (UseCMSBestFit) {
_fitStrategy = FreeBlockBestFitFirst;
} else {
_fitStrategy = FreeBlockStrategyNone;
}
//check_free_list_consistency方法在生产版本中是空实现
check_free_list_consistency();
// Initialize locks for parallel case.
if (CollectedHeap::use_parallel_gc_threads()) {
for (size_t i = IndexSetStart; i < IndexSetSize; i += IndexSetStride) {
//初始化并行分配内存用到的锁,注意并不是所有的_indexedFreeList元素都有对应的锁
_indexedFreeListParLocks[i] = new Mutex(Mutex::leaf - 1, // == ExpandHeap_lock - 1
"a freelist par lock",
true);
DEBUG_ONLY(
_indexedFreeList[i].set_protecting_lock(_indexedFreeListParLocks[i]);
)
}
_dictionary->set_par_lock(&_parDictionaryAllocLock);
}
}
void CompactibleFreeListSpace::initializeIndexedFreeListArray() {
//初始化_indexedFreeList,注意起始size是从0开始的,实际size为0的元素并不会使用
for (size_t i = 0; i < IndexSetSize; i++) {
//reset方法将FreeList重置,并且设置hint
_indexedFreeList[i].reset(IndexSetSize);
//设置该FreeList保存的Chunk的大小
_indexedFreeList[i].set_size(i);
assert(_indexedFreeList[i].count() == 0, "reset check failed");
assert(_indexedFreeList[i].head() == NULL, "reset check failed");
assert(_indexedFreeList[i].tail() == NULL, "reset check failed");
assert(_indexedFreeList[i].hint() == IndexSetSize, "reset check failed");
}
}
#ifndef PRODUCT
void CompactibleFreeListSpace::check_free_list_consistency() const {
assert((TreeChunk<FreeChunk, AdaptiveFreeList<FreeChunk> >::min_size() <= IndexSetSize),
"Some sizes can't be allocated without recourse to"
" linear allocation buffers");
assert((TreeChunk<FreeChunk, AdaptiveFreeList<FreeChunk> >::min_size()*HeapWordSize == sizeof(TreeChunk<FreeChunk, AdaptiveFreeList<FreeChunk> >)),
"else MIN_TREE_CHUNK_SIZE is wrong");
assert(IndexSetStart != 0, "IndexSetStart not initialized");
assert(IndexSetStride != 0, "IndexSetStride not initialized");
}
#endif
3、getFromListGreater / getChunkFromGreater
getFromListGreater方法用于从比指定大小大的FreeList中查找空闲的内存块,找到后再按照指定大小做切分,多余的内存块归还到FreeList中。getChunkFromGreater方法包含了getFromListGreater,还支持从_dictionary属性保存的空闲内存块二叉树中查找大于指定大小的内存块,同样的,找到后按照指定大小做切分,多余的内存块根据大小归还到FreeList或者_dictionary属性中保存。这两方法的调用链如下:
其实现如下:
/* Requires fl->size >= numWords + MinChunkSize */
FreeChunk* CompactibleFreeListSpace::getFromListGreater(AdaptiveFreeList<FreeChunk>* fl,
size_t numWords) {
//获取FreeList链表头部的空闲的内存块
FreeChunk *curr = fl->head();
size_t oldNumWords = curr->size();
//校验参数
assert(numWords >= MinChunkSize, "Word size is too small");
assert(curr != NULL, "List is empty");
assert(oldNumWords >= numWords + MinChunkSize,
"Size of chunks in the list is too small");
//将该内存块从链表中移除
fl->remove_chunk(curr);
//将curr按照numWords切分,多余的内存块放到_indexedFreeList或者_dictionary中
FreeChunk* new_chunk = splitChunkAndReturnRemainder(curr, numWords);
assert(new_chunk == NULL || new_chunk->is_free(),
"Should be returning a free chunk");
return new_chunk;
}
FreeChunk*
CompactibleFreeListSpace::splitChunkAndReturnRemainder(FreeChunk* chunk,
size_t new_size) {
assert_locked();
//获取chunk原来的大小
size_t size = chunk->size();
assert(size > new_size, "Split from a smaller block?");
assert(is_aligned(chunk), "alignment problem");
assert(size == adjustObjectSize(size), "alignment problem");
//计算需要切分掉的大小
size_t rem_size = size - new_size;
assert(rem_size == adjustObjectSize(rem_size), "alignment problem");
assert(rem_size >= MinChunkSize, "Free chunk smaller than minimum");
//ffc就表示被切分掉的内存块
FreeChunk* ffc = (FreeChunk*)((HeapWord*)chunk + new_size);
assert(is_aligned(ffc), "alignment problem");
ffc->set_size(rem_size);
ffc->link_next(NULL);
ffc->link_prev(NULL); // Mark as a free block for other (parallel) GC threads.
//强制所有的修改指令执行
OrderAccess::storestore();
assert(chunk->is_free() && ffc->is_free(), "Error");
//bt中记录新切分出来的内存块的起始位置
_bt.split_block((HeapWord*)chunk, chunk->size(), new_size);
if (rem_size < SmallForDictionary) {
//是否并行垃圾收集,如果是则获取对应FreeList的锁
bool is_par = (SharedHeap::heap()->n_par_threads() > 0);
if (is_par) _indexedFreeListParLocks[rem_size]->lock();
assert(!is_par ||
(SharedHeap::heap()->n_par_threads() ==
SharedHeap::heap()->workers()->active_workers()), "Mismatch");
//将新的被切分出去的内存块放入对应大小的_indexedFreeList中
returnChunkToFreeList(ffc);
split(size, rem_size);
//解锁
if (is_par) _indexedFreeListParLocks[rem_size]->unlock();
} else {
//将新的被切分出来的内存块放到_dictionary中
returnChunkToDictionary(ffc);
split(size ,rem_size);
}
//重置chunk的大小
chunk->set_size(new_size);
return chunk;
}
void
CompactibleFreeListSpace::returnChunkToFreeList(FreeChunk* fc) {
assert_locked();
size_t size = fc->size();
//校验fc是一个单独的没有被切分的内存块
_bt.verify_single_block((HeapWord*) fc, size);
//校验fc还未被分配出去
_bt.verify_not_unallocated((HeapWord*) fc, size);
if (_adaptive_freelists) {
//如果使用adaptive_freelists,插入到链表尾部
_indexedFreeList[size].return_chunk_at_tail(fc);
} else {
//插入到链表头部
_indexedFreeList[size].return_chunk_at_head(fc);
}
}
void
CompactibleFreeListSpace::returnChunkToDictionary(FreeChunk* chunk) {
assert_locked();
size_t size = chunk->size();
_bt.verify_single_block((HeapWord*)chunk, size);
//free方法实际是调整_unallocated_block属性,标记chunk对应的内存块未分配出去
_bt.freed((HeapWord*)chunk, size);
//将chunk放到_dictionary中管理
_dictionary->return_chunk(chunk);
}
FreeChunk* CompactibleFreeListSpace::getChunkFromGreater(size_t numWords) {
FreeChunk* ret;
assert(numWords >= MinChunkSize, "Size is less than minimum");
assert(linearAllocationWouldFail() || bestFitFirst(),
"Should not be here");
size_t i;
size_t currSize = numWords + MinChunkSize;
assert(currSize % MinObjAlignment == 0, "currSize should be aligned");
//从currSize开始遍历查找,如果某个FreeList有空闲的内存块,则从该FreeList中分配指定大小的内存块
for (i = currSize; i < IndexSetSize; i += IndexSetStride) {
AdaptiveFreeList<FreeChunk>* fl = &_indexedFreeList[i];
if (fl->head()) {
ret = getFromListGreater(fl, numWords);
assert(ret == NULL || ret->is_free(), "Should be returning a free chunk");
return ret;
}
}
//所有的_indexedFreeList都是空的,尝试从dictionary中分配
//从dictionary中分配时要求内存大于SmallForDictionary,即IndexSetSize
currSize = MAX2((size_t)SmallForDictionary,
(size_t)(numWords + MinChunkSize));
/* Try to get a chunk that satisfies request, while avoiding
fragmentation that can't be handled. */
{
//从_dictionary中查找满足大小的内存块
ret = dictionary()->get_chunk(currSize);
if (ret != NULL) {
assert(ret->size() - numWords >= MinChunkSize,
"Chunk is too small");
//调整bt的_unallocated_block属性,表示ret对应的内存块被分配出去了
_bt.allocated((HeapWord*)ret, ret->size());
/*将ret按照numWords做切分,多余的内存块归还到freeList或者_dictionary中*/
(void) splitChunkAndReturnRemainder(ret, numWords);
/* Label this as no longer a free chunk. */
assert(ret->is_free(), "This chunk should be free");
//去掉prev引用
ret->link_prev(NULL);
}
assert(ret == NULL || ret->is_free(), "Should be returning a free chunk");
return ret;
}
ShouldNotReachHere();
}
bool CompactibleFreeListSpace::linearAllocationWouldFail() const {
return _smallLinearAllocBlock._word_size == 0;
}
FreeBlockDictionary<FreeChunk>* dictionary() const { return _dictionary; }
4、split / coalBirth / coalDeath
split方法是某个内存块发生切分时调用的,用来增减AllocationStats类维护的计数器,_indexedFreeList和_dictionary都有一个AllocationStats类属性。coalBirth和coalDeath的功能同split,不过是在发生内存块合并时调用的。这几个方法涉及的计数器的定义如下:
- ssize_t _coal_births; // 因为内存块合并增加的内存块的个数
- ssize_t _coal_deaths; // 因为内存块合并而减少的内存块的个数
- ssize_t _split_births; // 因为内存块切分增加的内存块的个数
- ssize_t _split_deaths; // 因为内存块切分减少的内存块的个数
- ssize_t _surplus; // 一个综合指标,CompactibleFreeListSpace::bestFitSmall方法使用的,随着_coal_births和_split_births的增加而减少,随着_coal_deaths和_split_deaths的增加而减少
其实现如下:
//from是被切分前的大小,to1是被切分后多余的内存块的大小
void CompactibleFreeListSpace::split(size_t from, size_t to1) {
size_t to2 = from - to1;
splitDeath(from);
split_birth(to1);
split_birth(to2);
}
void CompactibleFreeListSpace::splitDeath(size_t size) {
if (size < SmallForDictionary) {
smallSplitDeath(size);
} else {
//底层实现跟smallSplitDeath,都是调整计数器
dictionary()->dict_census_update(size,
true /* split */,
false /* birth */);
}
}
void CompactibleFreeListSpace::smallSplitDeath(size_t size) {
assert(size < SmallForDictionary, "Size too large for indexed list");
AdaptiveFreeList<FreeChunk> *fl = &_indexedFreeList[size];
//这两方法都是调整AdaptiveFreeList的_allocation_stats属性保存的计数器,用来统计内存分配情况
fl->increment_split_deaths();
fl->decrement_surplus();
}
//AdaptiveFreeList的实现
void increment_split_deaths() {
assert_proper_lock_protection();
_allocation_stats.increment_split_deaths();
}
void decrement_surplus() {
assert_proper_lock_protection();
_allocation_stats.decrement_surplus();
}
//_allocation_stats属性即AllocationStats类的实现
void increment_split_deaths() { _split_deaths++; }
void decrement_surplus() { _surplus--; }
//实现同splitDeath,也是调整计数器
void CompactibleFreeListSpace::split_birth(size_t size) {
if (size < SmallForDictionary) {
smallSplitBirth(size);
} else {
dictionary()->dict_census_update(size,
true /* split */,
true /* birth */);
}
}
void CompactibleFreeListSpace::smallSplitBirth(size_t size) {
assert(size < SmallForDictionary, "Size too large for indexed list");
AdaptiveFreeList<FreeChunk> *fl = &_indexedFreeList[size];
fl->increment_split_births();
fl->increment_surplus();
}
//coalBirth实现同上,增减AllocationStats类维护的计数器
void CompactibleFreeListSpace::coalBirth(size_t size) {
if (size < SmallForDictionary) {
smallCoalBirth(size);
} else {
dictionary()->dict_census_update(size,
false /* split */,
true /* birth */);
}
}
void CompactibleFreeListSpace::smallCoalBirth(size_t size) {
assert(size < SmallForDictionary, "Size too large for indexed list");
AdaptiveFreeList<FreeChunk> *fl = &_indexedFreeList[size];
fl->increment_coal_births();
fl->increment_surplus();
}
void CompactibleFreeListSpace::coalDeath(size_t size) {
if(size < SmallForDictionary) {
smallCoalDeath(size);
} else {
dictionary()->dict_census_update(size,
false /* split */,
false /* birth */);
}
}
void CompactibleFreeListSpace::smallCoalDeath(size_t size) {
assert(size < SmallForDictionary, "Size too large for indexed list");
AdaptiveFreeList<FreeChunk> *fl = &_indexedFreeList[size];
fl->increment_coal_deaths();
fl->decrement_surplus();
}
这些方法的调用链如下:
image.png image.png image.png