之前的文章中,我们分析了Class结构中的isa和class_data_bits_t,今天我们就来分析一下cache_t
cache_t是什么
之前的文章中看到objc_class的内部有个cache_t类型的成员cache,那么他到底是干什么用的呢?今天我们就来探究一下。cache是用来缓存最近调用的方法集合,便于下次读取更加快速高效,提高性能。具体是怎么实现的呢?我们现在看下源码
cache_t的结构
struct cache_t {
#if CACHE_MASK_STORAGE == CACHE_MASK_STORAGE_OUTLINED
//explicit_atomic是将普通指针转换为原子指针的操作,为了线程安全。
explicit_atomic<struct bucket_t *> _buckets;
explicit_atomic<mask_t> _mask;
#elif CACHE_MASK_STORAGE == CACHE_MASK_STORAGE_HIGH_16
explicit_atomic<uintptr_t> _maskAndBuckets;
mask_t _mask_unused;
// How much the mask is shifted by.
static constexpr uintptr_t maskShift = 48;
// Additional bits after the mask which must be zero. msgSend
// takes advantage of these additional bits to construct the value
// `mask << 4` from `_maskAndBuckets` in a single instruction.
static constexpr uintptr_t maskZeroBits = 4;
// The largest mask value we can store.
static constexpr uintptr_t maxMask = ((uintptr_t)1 << (64 - maskShift)) - 1;
// The mask applied to `_maskAndBuckets` to retrieve the buckets pointer.
static constexpr uintptr_t bucketsMask = ((uintptr_t)1 << (maskShift - maskZeroBits)) - 1;
// Ensure we have enough bits for the buckets pointer.
static_assert(bucketsMask >= MACH_VM_MAX_ADDRESS, "Bucket field doesn't have enough bits for arbitrary pointers.");
#elif CACHE_MASK_STORAGE == CACHE_MASK_STORAGE_LOW_4
// _maskAndBuckets stores the mask shift in the low 4 bits, and
// the buckets pointer in the remainder of the value. The mask
// shift is the value where (0xffff >> shift) produces the correct
// mask. This is equal to 16 - log2(cache_size).
explicit_atomic<uintptr_t> _maskAndBuckets;
mask_t _mask_unused;
static constexpr uintptr_t maskBits = 4;
static constexpr uintptr_t maskMask = (1 << maskBits) - 1;
static constexpr uintptr_t bucketsMask = ~maskMask;
#else
#error Unknown cache mask storage type.
#endif
#if __LP64__
uint16_t _flags;
#endif
uint16_t _occupied;
public:
static bucket_t *emptyBuckets();
struct bucket_t *buckets();
mask_t mask();
mask_t occupied();
void incrementOccupied();
void setBucketsAndMask(struct bucket_t *newBuckets, mask_t newMask);
void initializeToEmpty();
unsigned capacity();
bool isConstantEmptyCache();
bool canBeFreed();
#if __LP64__
bool getBit(uint16_t flags) const {
return _flags & flags;
}
void setBit(uint16_t set) {
__c11_atomic_fetch_or((_Atomic(uint16_t) *)&_flags, set, __ATOMIC_RELAXED);
}
void clearBit(uint16_t clear) {
__c11_atomic_fetch_and((_Atomic(uint16_t) *)&_flags, ~clear, __ATOMIC_RELAXED);
}
#endif
#if FAST_CACHE_ALLOC_MASK
bool hasFastInstanceSize(size_t extra) const
{
if (__builtin_constant_p(extra) && extra == 0) {
return _flags & FAST_CACHE_ALLOC_MASK16;
}
return _flags & FAST_CACHE_ALLOC_MASK;
}
size_t fastInstanceSize(size_t extra) const
{
ASSERT(hasFastInstanceSize(extra));
if (__builtin_constant_p(extra) && extra == 0) {
return _flags & FAST_CACHE_ALLOC_MASK16;
} else {
size_t size = _flags & FAST_CACHE_ALLOC_MASK;
// remove the FAST_CACHE_ALLOC_DELTA16 that was added
// by setFastInstanceSize
return align16(size + extra - FAST_CACHE_ALLOC_DELTA16);
}
}
void setFastInstanceSize(size_t newSize)
{
// Set during realization or construction only. No locking needed.
uint16_t newBits = _flags & ~FAST_CACHE_ALLOC_MASK;
uint16_t sizeBits;
// Adding FAST_CACHE_ALLOC_DELTA16 allows for FAST_CACHE_ALLOC_MASK16
// to yield the proper 16byte aligned allocation size with a single mask
sizeBits = word_align(newSize) + FAST_CACHE_ALLOC_DELTA16;
sizeBits &= FAST_CACHE_ALLOC_MASK;
if (newSize <= sizeBits) {
newBits |= sizeBits;
}
_flags = newBits;
}
#else
bool hasFastInstanceSize(size_t extra) const {
return false;
}
size_t fastInstanceSize(size_t extra) const {
abort();
}
void setFastInstanceSize(size_t extra) {
// nothing
}
#endif
static size_t bytesForCapacity(uint32_t cap);
static struct bucket_t * endMarker(struct bucket_t *b, uint32_t cap);
void reallocate(mask_t oldCapacity, mask_t newCapacity, bool freeOld);
void insert(Class cls, SEL sel, IMP imp, id receiver);
static void bad_cache(id receiver, SEL sel, Class isa) __attribute__((noreturn, cold));
};
这里我们看到,里面的代码很多,根据不同的架构代码实现也不同, buckets是一个bucket_t结构体类型的集合,我们看下源码
struct bucket_t {
private:
// IMP-first is better for arm64e ptrauth and no worse for arm64.
// SEL-first is better for armv7* and i386 and x86_64.
#if __arm64__
explicit_atomic<uintptr_t> _imp;
explicit_atomic<SEL> _sel;
#else
explicit_atomic<SEL> _sel;
explicit_atomic<uintptr_t> _imp;
#endif
// Compute the ptrauth signing modifier from &_imp, newSel, and cls.
uintptr_t modifierForSEL(SEL newSel, Class cls) const {
return (uintptr_t)&_imp ^ (uintptr_t)newSel ^ (uintptr_t)cls;
}
//省略部分......
public:
inline SEL sel() const { return _sel.load(memory_order::memory_order_relaxed); }
inline IMP imp(Class cls) const {
uintptr_t imp = _imp.load(memory_order::memory_order_relaxed);
if (!imp) return nil;
//省略部分......
template <Atomicity, IMPEncoding>
void set(SEL newSel, IMP newImp, Class cls);
};
}
这里我们看到arm64下和x86下结构体的顺序不一样,但作用都是一样的,我们通过提炼关键信息得到下图
其中
cache_t中的含义如下:
- buckets 容器/存储
- mask 面具/掩码
- occupied 已占用的;实际使用中的大小
- capacity 已分配的容量大小
cache_t 的部分方法
- bucket() 获取缓存中所有的sel/imp信息
- capacity() 获取已分配的容量大小
- occupied() 获取已占用的实际大小
- incrementOccupied() 对实际占用空间加1
- reallocate() 开辟内存空间
- insect() 哈希表中插入sel/imp
buckets是一个bucket_t类型结构体,bucket_t中包含sel和imp
实操
接下来我们准备一些案例,首先我们创建一个Person类,如下
@interface Person : NSObject
- (void)sayHello;
- (void)sayHello1;
- (void)sayHello2;
- (void)sayHello3;
- (void)sayHello4;
- (void)sayHello5;
@end
@implementation Person
- (void)sayHello {
NSLog(@"%s", __func__);
}
- (void)sayHello1 {
NSLog(@"%s", __func__);
}
- (void)sayHello2 {
NSLog(@"%s", __func__);
}
- (void)sayHello3 {
NSLog(@"%s", __func__);
}
- (void)sayHello4 {
NSLog(@"%s", __func__);
}
- (void)sayHello5 {
NSLog(@"%s", __func__);
}
@end
main 函数中创建一个Person对象,并调用方法
Person *person = [Person alloc];
Class p = [Person class];
[person sayHello];
[person sayHello1];
[person sayHello2];
[person sayHello3];
[person sayHello4];
[person sayHello5];
然后运行程序,在调用方法之前打个断点
接下来我们探索下
isa里面cache的奥秘,首先打印person类的地址
(lldb) p/x p
输出结果
(Class) $0 = 0x00000001000021b8 Person
接着通过偏移0x10也就是0x00000001000021c8找到cache
(lldb) p (cache_t *) 0x00000001000021c8
输出结果
(cache_t *) $1 = 0x00000001000021c8
打印下cache_t
(lldb) p *$1
输出结果
(cache_t) $2 = {
_buckets = {
std::__1::atomic<bucket_t *> = 0x000000010032e420 {
_sel = {
std::__1::atomic<objc_selector *> = (null)
}
_imp = {
std::__1::atomic<unsigned long> = 0
}
}
}
_mask = {
std::__1::atomic<unsigned int> = 0
}
_flags = 32784
_occupied = 0
}
这里看到了_buckets、_mask、 _flags、_occupied ,_occupied是0。我们接着往下走一步执行sayHello方法
这个时候我们在打印下
$1
(lldb) p *$1
输出结果
(cache_t) $3 = {
_buckets = {
std::__1::atomic<bucket_t *> = 0x0000000100692b60 {
_sel = {
std::__1::atomic<objc_selector *> = ""
}
_imp = {
std::__1::atomic<unsigned long> = 11496
}
}
}
_mask = {
std::__1::atomic<unsigned int> = 3
}
_flags = 32784
_occupied = 1
}
这个时候我们看到 _occupied = 1,我们在调用下buckets方法,获取地址
(lldb) p $3.buckets()
输出结果
(bucket_t *) $4 = 0x0000000100692b60
读取$4 里面内容
(lldb) p *$4
输出结果
(bucket_t) $5 = {
_sel = {
std::__1::atomic<objc_selector *> = ""
}
_imp = {
std::__1::atomic<unsigned long> = 11496
}
}
通过之前的源码获取buckets中的sel
(lldb) p $5.sel()
输出结果
(SEL) $6 = "sayHello"
通过之前的源码获取buckets中的imp,这里需要传一个Person类的地址
(lldb) p $5.imp(p)
输出结果
(IMP) $7 = 0x0000000100000d50 (KCObjc`-[Person sayHello])
这里看到我们之前调用的方法已经缓存到cache中了, 接着上面的步骤,我们再次调用一个方法,这次我们想要获取第二个sel,其调试的lldb如下
(lldb) p *($4+1)
输出结果
(bucket_t) $8 = {
_sel = {
std::__1::atomic<objc_selector *> = ""
}
_imp = {
std::__1::atomic<unsigned long> = 11304
}
}
调用$8的sel和imp
(lldb) p $8.sel()
(SEL) $9 = "say666"
(lldb) p $8.imp(p)
(IMP) $10 = 0x0000000100000d90 (KCObjc`-[Person say666])
依次内推,找到其他的方法缓存,那如何确认我们打印出来的地址就是没有问题的呢,我们可以通过machOView 来验证一下
我们看到这里的say666方法和上面的地址一模一样。那系统底层是如果添加方法到cache里面的呢?我们来看下源码,我们找到cache_t的insert方法源码
#### cache_t源码以及插入流程
ALWAYS_INLINE
void cache_t::insert(Class cls, SEL sel, IMP imp, id receiver)
{
#if CONFIG_USE_CACHE_LOCK
cacheUpdateLock.assertLocked();
#else
runtimeLock.assertLocked();
#endif
ASSERT(sel != 0 && cls->isInitialized());
// Use the cache as-is if it is less than 3/4 full(当缓存实际使用大小小于3/4时)
//occupied()默认为0,newOccupied每次+1
mask_t newOccupied = occupied() + 1;
unsigned oldCapacity = capacity(), capacity = oldCapacity;
//slowpath编译器优化,小概率事件。当capacity()=0时,创建缓存
if (slowpath(isConstantEmptyCache())) {
// Cache is read-only. Replace it.capacity默认为4.INIT_CACHE_SIZE=(1<<2)
if (!capacity) capacity = INIT_CACHE_SIZE;
reallocate(oldCapacity, capacity, /* freeOld */false);
}
//小于3/4啥也不做
else if (fastpath(newOccupied + CACHE_END_MARKER <= capacity / 4 * 3)) {
// Cache is less than 3/4 full. Use it as-is.
}
else {
//扩容capacity2倍,也就是 4、8、16...
capacity = capacity ? capacity * 2 : INIT_CACHE_SIZE;
if (capacity > MAX_CACHE_SIZE) {
capacity = MAX_CACHE_SIZE;
}
//重新开辟一块新的空间,把上面的值传进去
reallocate(oldCapacity, capacity, true);
}
bucket_t *b = buckets();
mask_t m = capacity - 1; //mask=capacity - 1
mask_t begin = cache_hash(sel, m); //通过哈希算法函数计算sel的存储下标
//从下标还是往前遍历
mask_t i = begin;
// Scan for the first unused slot and insert there.
// There is guaranteed to be an empty slot because the
// minimum size is 4 and we resized at 3/4 full.
do {
//如果当前下标没有sel说明当前下标没有存储sel
if (fastpath(b[i].sel() == 0)) {
//occupied+1(实际占用大小)
incrementOccupied();
//存储sel/imp
b[i].set<Atomic, Encoded>(sel, imp, cls);
return;
}
//如果当前下标已经有sel,且等于将要插入sel直接返回
if (b[i].sel() == sel) {
// The entry was added to the cache by some other thread
// before we grabbed the cacheUpdateLock.
return;
}
} while (fastpath((i = cache_next(i, m)) != begin));//如果当前下标已经有sel且不等于将要插入的sel,下标往前一位,重新计划哈希值,得到新的下标
cache_t::bad_cache(receiver, (SEL)sel, cls);
}
通过上面的源码。我们可以看到插入的时候主要分为几个步骤:
-
计算当前的占用空间
-
开辟空间或扩容
如果没有开辟空间,开辟一个默认值为4的缓存空间。如果已经开辟过空间。看有没有超出3/4,如果超过3/4,那就重新开辟一个是之前一倍大小的空间,并把之前的赋值过去。把旧的buckets进行释放
-
查找存储位置
通过哈希算法函数计算sel的哈希值,根据当前的下标查找,如果当前下标没有sel说明当前下标没有存储sel,执行set方法。如果当前下标已经有sel,且等于将要插入sel直接返回。如果当前下标已经有sel且不等于将要插入的sel,下标往前一位,重新计算哈希值,得到新的下标,重复上面的步骤
思考
接下来通过问题看看掌握的程度
1.什么时候存储到cache中?
objc_msgSend第一次发送消息会触发方法查找,找到方法后会调用cache_fill()方法把方法缓存到cache中
2.什么情况下会调用insect()方法?
init初始化对象、
属性get/set方法、
方法调用
3.bucket数据为什么会有丢失的情况?
原因是在扩容时,是将原有的内存全部清除了,再重新申请了内存导致的
4.方法缓存cache_t的方法实现方式?
散列表技术 key-value, 用散列表来缓存曾经调用过的方法,可以提高方法的查找速度
5.mask为什么要capacity - 1
这个数据缓存的位置的下标,也就是缓存方法的索引,这个下标经过位运算之后,一定会小于或者等于散列表的长度-1 ,就不会出现越界的情况了
到这里cache_t的大概原理就已经分析完了,这里没有贴完整的代码和实现,有兴趣可以下载源码自己玩玩。