redis的hash的存储
1.redis-obj基本介绍
众所周知,redis支持5种基础数据类型,分别是:
- string
- list
- set
- hset
- hash
每种数据类型都存在至少一种encoding方式。redis把上面几种基础类型抽象成为一个结构体叫做 redisObject
typedef struct redisObject {
unsigned type:4; //type就是redis的基础数据类型
unsigned encoding:4; //这个是具体数据类型的编码方式
unsigned lru:LRU_BITS; /* LRU time (relative to global lru_clock) or
* LFU data (least significant 8 bits frequency
* and most significant 16 bits access time). */
int refcount;
void *ptr;
} robj;
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本文就重点介绍下hash类型在redis中是如何存储和使用的。
2. redis hash类型
hash类型是一个可以存储多个k-v键值对的结构,典型的样子是这样的:
其实具体的命令查看redis的官方文档是最方便的,但是我还是把常用的总结下,也给自己加深下影响。
2.1 hash的典型命令
典型的命令格式:
hset redis-obj-name k1 v1 k2 v2 ...
hget redis_obj_name k1
注意这个命令是操作hash对象的,和hset对象没有关系,不要搞混淆了。 例如:
redis> HSET myhash field1 "Hello"
(integer) 1
redis> HGET myhash field1
"Hello"
redis>
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看上去很简单,那么这个myhash对象在redis的内存中是如何存储的呢?直接上源码,大家看的比较清楚:
void hsetCommand(client *c) {
int i, created = 0;
robj *o;
//首先参数必须是双数,很好理解
if ((c->argc % 2) == 1) {
addReplyError(c,"wrong number of arguments for HMSET");
return;
}
//函数名称写的很清楚,找不到就创建一个redis-obj对象
if ((o = hashTypeLookupWriteOrCreate(c,c->argv[1])) == NULL) return;
hashTypeTryConversion(o,c->argv,2,c->argc-1);//这里是两点,它居然会尝试去转换下hash的type
for (i = 2; i < c->argc; i += 2)
created += !hashTypeSet(o,c->argv[i]->ptr,c->argv[i+1]->ptr,HASH_SET_COPY);
/* HMSET (deprecated) and HSET return value is different. */
char *cmdname = c->argv[0]->ptr;
if (cmdname[1] == 's' || cmdname[1] == 'S') {
/* HSET */
addReplyLongLong(c, created);
} else {
/* HMSET */
addReply(c, shared.ok);
}
signalModifiedKey(c->db,c->argv[1]);
notifyKeyspaceEvent(NOTIFY_HASH,"hset",c->argv[1],c->db->id);
server.dirty++;
}
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那我们看看hashTypeLookupWriteOrCreate
和hashTypeTryConversion
到底干了啥事。
robj *hashTypeLookupWriteOrCreate(client *c, robj *key) {
robj *o = lookupKeyWrite(c->db,key);
if (o == NULL) {
o = createHashObject(); //这里会去创建一个hash objecjt
dbAdd(c->db,key,o);
} else {
if (o->type != OBJ_HASH) {
addReply(c,shared.wrongtypeerr);
return NULL;
}
}
return o;
}
robj *createHashObject(void) {
unsigned char *zl = ziplistNew();
robj *o = createObject(OBJ_HASH, zl);
o->encoding = OBJ_ENCODING_ZIPLIST;
return o;
}
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看上面,createHashObject
函数其实创建的redis-obj的type是hash类型,但是encoding却是OBJ_ENCODING_ZIPLIST,看到这里会有点疑惑,既然是hash类型应该用hash table结构来存储,为什么用压缩链表结构呢?其实不用急,还有一个函数hashTypeTryConversion
这个函数没有看,现在再看看它的实现:
/* Check the length of a number of objects to see if we need to convert a
* ziplist to a real hash. Note that we only check string encoded objects
* as their string length can be queried in constant time. */
void hashTypeTryConversion(robj *o, robj **argv, int start, int end) {
int i;
if (o->encoding != OBJ_ENCODING_ZIPLIST) return;
for (i = start; i <= end; i++) {
if (sdsEncodedObject(argv[i]) &&
sdslen(argv[i]->ptr) > server.hash_max_ziplist_value)
{
hashTypeConvert(o, OBJ_ENCODING_HT);
break;
}
}
}
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其实上面的注释写的很清楚,如果是ZIPLIST的编码方式,遍历下ziplist,如果当前的长度已经大于server.hash_max_ziplist_value
,就把encoding方式改为OBJ_ENCODING_HT
。还有一种情况是当
hash-max-ziplist-entries 512
hash-max-ziplist-value 64
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看到这里貌似有点明白了,原来redis对于小数字,短字符串,为了能比较高效的利用内存,都保存到ziplist中,而不是直接放到hash-table结构中,当数字或者字符串超出一定的阈值时候,才会改用hash表的存储方式,这样达到节约内存的作用啊。在这里不得不感叹下redis的作者真不怕麻烦,为了能节约一点内存,可以说费劲了心思。
总结下,redis对于hash对象提供了两种存储方式,也就是redisObject.encoding
变量的取值是有两个的,分别如下:
- OBJ_ENCODING_ZIPLIST
- OBJ_ENCODING_HT
这两种编码方式内部的数据结构是什么样子的呢? 首先我们先看看OBJ_ENCODING_ZIPLIST
类型的存储方式
2.2 OBJ_ENCODING_ZIPLIST存储方式
在createHashObject
函数中,调用了ziplist的创建函数ziplistNew
,我们来看下这个函数的实现:
/* Create a new empty ziplist. */
unsigned char *ziplistNew(void) {
unsigned int bytes = ZIPLIST_HEADER_SIZE+1;
unsigned char *zl = zmalloc(bytes);
ZIPLIST_BYTES(zl) = intrev32ifbe(bytes);
ZIPLIST_TAIL_OFFSET(zl) = intrev32ifbe(ZIPLIST_HEADER_SIZE);
ZIPLIST_LENGTH(zl) = 0;
zl[bytes-1] = ZIP_END;
return zl;
}
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代码里面用了一堆宏,看上去不太直观,画个图看下,就很清晰了:
再附上ziplist的header的注释:
/* The size of a ziplist header: two 32 bit integers for the total
* bytes count and last item offset. One 16 bit integer for the number
* of items field. */
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结合代码很轻松就应该能看懂了。
再看上面的代码hsetCommand
中,调用了hashTypeSet
函数进行插入数据 我们再看看对于OBJ_ENCODING_ZIPLIST
的编码方式,如何插入数据。
int hashTypeSet(robj *o, sds field, sds value, int flags) {
int update = 0;
if (o->encoding == OBJ_ENCODING_ZIPLIST) {
unsigned char *zl, *fptr, *vptr;
zl = o->ptr;
fptr = ziplistIndex(zl, ZIPLIST_HEAD);
if (fptr != NULL) {
fptr = ziplistFind(fptr, (unsigned char*)field, sdslen(field), 1);
if (fptr != NULL) {
/* Grab pointer to the value (fptr points to the field) */
vptr = ziplistNext(zl, fptr);
serverAssert(vptr != NULL);
update = 1;
/* Delete value */
zl = ziplistDelete(zl, &vptr);
/* Insert new value */
zl = ziplistInsert(zl, vptr, (unsigned char*)value,
sdslen(value));
}
}
o->ptr = zl;
/* Check if the ziplist needs to be converted to a hash table */
if (hashTypeLength(o) > server.hash_max_ziplist_entries)
hashTypeConvert(o, OBJ_ENCODING_HT);
...
}
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首次插入的时候,ziplistIndex(zl, ZIPLIST_HEAD);
函数会返回NULL
unsigned char *ziplistIndex(unsigned char *zl, int index) {
unsigned char *p;
unsigned int prevlensize, prevlen = 0;
if (index < 0) {
index = (-index)-1;
p = ZIPLIST_ENTRY_TAIL(zl);
if (p[0] != ZIP_END) {
ZIP_DECODE_PREVLEN(p, prevlensize, prevlen);
while (prevlen > 0 && index--) {
p -= prevlen;
ZIP_DECODE_PREVLEN(p, prevlensize, prevlen);
}
}
} else {
p = ZIPLIST_ENTRY_HEAD(zl);
while (p[0] != ZIP_END && index--) {
p += zipRawEntryLength(p);
}
}
return (p[0] == ZIP_END || index > 0) ? NULL : p;
}
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进而直接调用ziplistPush
把field和value都插入到ziplist中。再插入过后,还再多了一次判断当前的ziplist的长度是不是大于了server.hash_max_ziplist_entries
,如果是,就需要转换为hashtable结构存储。
unsigned char *ziplistPush(unsigned char *zl, unsigned char *s, unsigned int slen, int where) {
unsigned char *p;
p = (where == ZIPLIST_HEAD) ? ZIPLIST_ENTRY_HEAD(zl) : ZIPLIST_ENTRY_END(zl);
return __ziplistInsert(zl,p,s,slen);
}
unsigned char *__ziplistInsert(unsigned char *zl, unsigned char *p, unsigned char *s, unsigned int slen) {
size_t curlen = intrev32ifbe(ZIPLIST_BYTES(zl)), reqlen;
unsigned int prevlensize, prevlen = 0;
size_t offset;
int nextdiff = 0;
unsigned char encoding = 0;
long long value = 123456789; /* initialized to avoid warning. Using a value
that is easy to see if for some reason
we use it uninitialized. */
zlentry tail;
/* Find out prevlen for the entry that is inserted. */
if (p[0] != ZIP_END) {
ZIP_DECODE_PREVLEN(p, prevlensize, prevlen);
} else {
unsigned char *ptail = ZIPLIST_ENTRY_TAIL(zl);
if (ptail[0] != ZIP_END) {
prevlen = zipRawEntryLength(ptail);
}
}
/* See if the entry can be encoded */
if (zipTryEncoding(s,slen,&value,&encoding)) {
/* 'encoding' is set to the appropriate integer encoding */
reqlen = zipIntSize(encoding);
} else {
/* 'encoding' is untouched, however zipStoreEntryEncoding will use the
* string length to figure out how to encode it. */
reqlen = slen;
}
/* We need space for both the length of the previous entry and
* the length of the payload. */
reqlen += zipStorePrevEntryLength(NULL,prevlen);
reqlen += zipStoreEntryEncoding(NULL,encoding,slen);
/* When the insert position is not equal to the tail, we need to
* make sure that the next entry can hold this entry's length in
* its prevlen field. */
int forcelarge = 0;
nextdiff = (p[0] != ZIP_END) ? zipPrevLenByteDiff(p,reqlen) : 0;
if (nextdiff == -4 && reqlen < 4) {
nextdiff = 0;
forcelarge = 1;
}
/* Store offset because a realloc may change the address of zl. */
offset = p-zl;
zl = ziplistResize(zl,curlen+reqlen+nextdiff);
p = zl+offset;
/* Apply memory move when necessary and update tail offset. */
if (p[0] != ZIP_END) {
/* Subtract one because of the ZIP_END bytes */
memmove(p+reqlen,p-nextdiff,curlen-offset-1+nextdiff);
/* Encode this entry's raw length in the next entry. */
if (forcelarge)
zipStorePrevEntryLengthLarge(p+reqlen,reqlen);
else
zipStorePrevEntryLength(p+reqlen,reqlen);
/* Update offset for tail */
ZIPLIST_TAIL_OFFSET(zl) =
intrev32ifbe(intrev32ifbe(ZIPLIST_TAIL_OFFSET(zl))+reqlen);
/* When the tail contains more than one entry, we need to take
* "nextdiff" in account as well. Otherwise, a change in the
* size of prevlen doesn't have an effect on the *tail* offset. */
zipEntry(p+reqlen, &tail);
if (p[reqlen+tail.headersize+tail.len] != ZIP_END) {
ZIPLIST_TAIL_OFFSET(zl) =
intrev32ifbe(intrev32ifbe(ZIPLIST_TAIL_OFFSET(zl))+nextdiff);
}
} else {
/* This element will be the new tail. */
ZIPLIST_TAIL_OFFSET(zl) = intrev32ifbe(p-zl);
}
/* When nextdiff != 0, the raw length of the next entry has changed, so
* we need to cascade the update throughout the ziplist */
if (nextdiff != 0) {
offset = p-zl;
zl = __ziplistCascadeUpdate(zl,p+reqlen);
p = zl+offset;
}
/* Write the entry */
p += zipStorePrevEntryLength(p,prevlen);
p += zipStoreEntryEncoding(p,encoding,slen);
if (ZIP_IS_STR(encoding)) {
memcpy(p,s,slen);
} else {
zipSaveInteger(p,value,encoding);
}
ZIPLIST_INCR_LENGTH(zl,1);
return zl;
}
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插入的时候可以看出来,redis对于ziplist的存储数据结构也是比较特殊的。一个item项的结构如下:
p += zipStorePrevEntryLength(p,prevlen); //计算上一个item项的长度
p += zipStoreEntryEncoding(p,encoding,slen); //计算当前自己需要的编码
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其中prev_entry_length
存储的是上一个item项的长度,这个也是redis比较特殊的地方,在本次更新item的时候采取计算上一个item项的长度。
encoding是当前这一项的编码方式。ziplist既然是压缩链表,本质上只是是对数字类型的压缩,字符串数字都统一转换为int8, int16, int32, int64 来存储,这样比较节约内存。
具体的代码实现如下:
/* See if the entry can be encoded */
if (zipTryEncoding(s,slen,&value,&encoding)) {
/* 'encoding' is set to the appropriate integer encoding */
reqlen = zipIntSize(encoding);
} else {
/* 'encoding' is untouched, however zipStoreEntryEncoding will use the
* string length to figure out how to encode it. */
reqlen = slen;
}
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具体的zipTryEncoding
代码实现:
/* Check if string pointed to by 'entry' can be encoded as an integer.
* Stores the integer value in 'v' and its encoding in 'encoding'. */
int zipTryEncoding(unsigned char *entry, unsigned int entrylen, long long *v, unsigned char *encoding) {
long long value;
if (entrylen >= 32 || entrylen == 0) return 0;
if (string2ll((char*)entry,entrylen,&value)) {
/* Great, the string can be encoded. Check what's the smallest
* of our encoding types that can hold this value. */
if (value >= 0 && value <= 12) {
*encoding = ZIP_INT_IMM_MIN+value;
} else if (value >= INT8_MIN && value <= INT8_MAX) {
*encoding = ZIP_INT_8B;
} else if (value >= INT16_MIN && value <= INT16_MAX) {
*encoding = ZIP_INT_16B;
} else if (value >= INT24_MIN && value <= INT24_MAX) {
*encoding = ZIP_INT_24B;
} else if (value >= INT32_MIN && value <= INT32_MAX) {
*encoding = ZIP_INT_32B;
} else {
*encoding = ZIP_INT_64B;
}
*v = value;
return 1;
}
return 0;
}
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其中string2ll其实就是一个atoi,但是要实现一个没bug的atoi还是很难的,看看redis的实现,觉得考虑的好全面,负数,越界都考虑清楚,感觉还是很难的。
/* Convert a string into a long long. Returns 1 if the string could be parsed
* into a (non-overflowing) long long, 0 otherwise. The value will be set to
* the parsed value when appropriate.
*
* Note that this function demands that the string strictly represents
* a long long: no spaces or other characters before or after the string
* representing the number are accepted, nor zeroes at the start if not
* for the string "0" representing the zero number.
*
* Because of its strictness, it is safe to use this function to check if
* you can convert a string into a long long, and obtain back the string
* from the number without any loss in the string representation. */
int string2ll(const char *s, size_t slen, long long *value) {
const char *p = s;
size_t plen = 0;
int negative = 0;
unsigned long long v;
/* A zero length string is not a valid number. */
if (plen == slen)
return 0;
/* Special case: first and only digit is 0. */
if (slen == 1 && p[0] == '0') {
if (value != NULL) *value = 0;
return 1;
}
/* Handle negative numbers: just set a flag and continue like if it
* was a positive number. Later convert into negative. */
if (p[0] == '-') {
negative = 1;
p++; plen++;
/* Abort on only a negative sign. */
if (plen == slen)
return 0;
}
/* First digit should be 1-9, otherwise the string should just be 0. */
if (p[0] >= '1' && p[0] <= '9') {
v = p[0]-'0';
p++; plen++;
} else {
return 0;
}
/* Parse all the other digits, checking for overflow at every step. */
while (plen < slen && p[0] >= '0' && p[0] <= '9') {
if (v > (ULLONG_MAX / 10)) /* Overflow. */
return 0;
v *= 10;
if (v > (ULLONG_MAX - (p[0]-'0'))) /* Overflow. */
return 0;
v += p[0]-'0';
p++; plen++;
}
/* Return if not all bytes were used. */
if (plen < slen)
return 0;
/* Convert to negative if needed, and do the final overflow check when
* converting from unsigned long long to long long. */
if (negative) {
if (v > ((unsigned long long)(-(LLONG_MIN+1))+1)) /* Overflow. */
return 0;
if (value != NULL) *value = -v;
} else {
if (v > LLONG_MAX) /* Overflow. */
return 0;
if (value != NULL) *value = v;
}
return 1;
}
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其实每次更新,都会触发内存的realloc,这个地方我感觉其实还是不太好的,如果一次更新n个kv对,就需要调用realloc函数n次,感觉有点浪费啊。
2.2 OBJ_ENCODING_HT存储方式
从上面的代码可以看出来有两种场景会触发hash obj修改encoding方式,分别如下:
hash-max-ziplist-entries 512
hash-max-ziplist-value 64
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当ziplist的entry个数小于512的时候, 还有一种场景是entry的值长度小于64的时候。当然这其实是redis的一个配置项。
那么hash table存储又是什么样的结构呢?看下面的代码:
void hashTypeConvertZiplist(robj *o, int enc) {
serverAssert(o->encoding == OBJ_ENCODING_ZIPLIST);
if (enc == OBJ_ENCODING_ZIPLIST) {
/* Nothing to do... */
} else if (enc == OBJ_ENCODING_HT) {
hashTypeIterator *hi;
dict *dict;
int ret;
hi = hashTypeInitIterator(o);
dict = dictCreate(&hashDictType, NULL);
while (hashTypeNext(hi) != C_ERR) {
sds key, value;
key = hashTypeCurrentObjectNewSds(hi,OBJ_HASH_KEY);
value = hashTypeCurrentObjectNewSds(hi,OBJ_HASH_VALUE);
ret = dictAdd(dict, key, value);
if (ret != DICT_OK) {
serverLogHexDump(LL_WARNING,"ziplist with dup elements dump",
o->ptr,ziplistBlobLen(o->ptr));
serverPanic("Ziplist corruption detected");
}
}
hashTypeReleaseIterator(hi);
zfree(o->ptr);
o->encoding = OBJ_ENCODING_HT;
o->ptr = dict;
} else {
serverPanic("Unknown hash encoding");
}
}
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可以看出会创建一个迭代器,遍历当前的ziplist结构,然后放到新创建的dict结构中。
关于dict的结构,可以参看之前我的一篇dict的数据结构分析。
3. 总结
hash对象的存储如果使用的编码是ZipList的时候,感觉效率是不高的,平均复杂度是O(n)
,如果涉及到内存的连锁移动的话,最差的事件复杂度其实是o(n^2)
。