Redis从入门到放弃系列(三) List

Redis从入门到放弃系列(三) List

本文例子基于：5.0.4 List是Redis中一种比较常见的数据结构,其实现为quicklist,quicklist是一个ziplist的双向链表

Redis从入门到放弃系列(一) String

Redis从入门到放弃系列(二) Hash

首先让咱们来看一下该如何在redis里面使用List类型

//设置key的列表为value
lpush key value [value...]
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代码示例：

//栈的用法，rpush rpop同样~ 经过rpush,lpop至关于堆的用法
> lpush books java python c (integer) 3 > lpop books "c" > lpop books "python" > lpop books "java" ---------------------------------- //返回列表key指定区间的元素,区间偏移量start跟stop指定 //start跟stop的下表都是以0为底 > lrange books 0 2 1) "c" 2) "python" 3) "java" ---------------------------------- //ltrim能够做为一个定长的list，每次均可以获取到最新的2条数据 > lpush books java python c c++ (integer) 4 > ltrim books 0 1 OK > lrange books 0 -1 1) "c++" 2) "c" ---------------------------------- //当给定列表内没有任何元素可供弹出的时候，链接将被blpop ,brpop命令阻塞，直到等待超时或发现可弹出元素为止。 //设置超时 1秒 > BLPOP books 1 1) "books" 2) "c++" > BLPOP books 1 1) "books" 2) "c" > BLPOP books 1 (nil) (1.05s) ---------------------------------- 复制代码

至此,redis list的用法先告一段落.

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源码解析

本文开头的时候讲list实现为quicklist,quicklist是一个ziplist的双向链表,那么其内部结构是怎样的呢？

/* quicklist is a 40 byte struct (on 64-bit systems) describing a quicklist. * 'count' is the number of total entries. * 'len' is the number of quicklist nodes. * 'compress' is: -1 if compression disabled, otherwise it's the number * of quicklistNodes to leave uncompressed at ends of quicklist. * 'fill' is the user-requested (or default) fill factor. */
typedef struct quicklist {
    quicklistNode *head;
    quicklistNode *tail;
    unsigned long count;        /* total count of all entries in all ziplists */
    unsigned long len;          /* number of quicklistNodes */
    int fill : 16;              /* fill factor for individual nodes */
    unsigned int compress : 16; /* depth of end nodes not to compress;0=off */
} quicklist;

/* quicklistNode is a 32 byte struct describing a ziplist for a quicklist. * We use bit fields keep the quicklistNode at 32 bytes. * count: 16 bits, max 65536 (max zl bytes is 65k, so max count actually < 32k). * encoding: 2 bits, RAW=1, LZF=2. * container: 2 bits, NONE=1, ZIPLIST=2. * recompress: 1 bit, bool, true if node is temporarry decompressed for usage. * attempted_compress: 1 bit, boolean, used for verifying during testing. * extra: 10 bits, free for future use; pads out the remainder of 32 bits */
typedef struct quicklistNode {
    struct quicklistNode *prev;
    struct quicklistNode *next;
    unsigned char *zl;
    unsigned int sz;             /* ziplist size in bytes */
    unsigned int count : 16;     /* count of items in ziplist */
    unsigned int encoding : 2;   /* RAW==1 or LZF==2 */
    unsigned int container : 2;  /* NONE==1 or ZIPLIST==2 */
    unsigned int recompress : 1; /* was this node previous compressed? */
    unsigned int attempted_compress : 1; /* node can't compress; too small */
    unsigned int extra : 10; /* more bits to steal for future usage */
} quicklistNode;
/* quicklistLZF is a 4+N byte struct holding 'sz' followed by 'compressed'. * 'sz' is byte length of 'compressed' field. * 'compressed' is LZF data with total (compressed) length 'sz' * NOTE: uncompressed length is stored in quicklistNode->sz. * When quicklistNode->zl is compressed, node->zl points to a quicklistLZF */
typedef struct quicklistLZF {
    unsigned int sz; /* LZF size in bytes*/
    char compressed[];
} quicklistLZF;
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从上面咱们能够知道,quicklist是一个的双向链表,因此当咱们使用lpush,rpop等操做是O(1)了。

ziplist自己也是一个可以维持数据前后顺序的列表(按照插入位置),并且是一个内存紧凑的列表。 当咱们要表示list拥有12个数据项,这时候就会有可能有多种选择了,例如3个节点的quicklist，每一个节点ziplist又包含4个数据项.或者2个节点的quicklist,每一个节点ziplist又包含6个数据项 那么redis是如何选择的呢？咱们能够再redis.conf找到蛛丝马迹~

# Lists are also encoded in a special way to save a lot of space.
# The number of entries allowed per internal list node can be specified
# as a fixed maximum size or a maximum number of elements.
# For a fixed maximum size, use -5 through -1, meaning:
# -5: max size: 64 Kb <-- not recommended for normal workloads
# -4: max size: 32 Kb <-- not recommended
# -3: max size: 16 Kb <-- probably not recommended
# -2: max size: 8 Kb <-- good
# -1: max size: 4 Kb <-- good
# Positive numbers mean store up to _exactly_ that number of elements
# per list node.
# The highest performing option is usually -2 (8 Kb size) or -1 (4 Kb size),
# but if your use case is unique, adjust the settings as necessary.
list-max-ziplist-size -2

# Lists may also be compressed.
# Compress depth is the number of quicklist ziplist nodes from *each* side of
# the list to *exclude* from compression. The head and tail of the list
# are always uncompressed for fast push/pop operations. Settings are:
# 0: disable all list compression
# 1: depth 1 means "don't start compressing until after 1 node into the list,
# going from either the head or tail"
# So: [head]->node->node->...->node->[tail]
# [head], [tail] will always be uncompressed; inner nodes will compress.
# 2: [head]->[next]->node->node->...->node->[prev]->[tail]
# 2 here means: don't compress head or head->next or tail->prev or tail,
# but compress all nodes between them.
# 3: [head]->[next]->[next]->node->node->...->node->[prev]->[prev]->[tail]
# etc.
list-compress-depth 0
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list-max-ziplist-size
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当设置为正数意味着最多只能储存该数量的元素，redis的做者建议设置为-1 or -2,设置每一个quicklist节点上的ziplist能储存元素的大小~ 当列表很长的时候,中间的数据被访问的频率就有可能很低,那么在这种状况下,list提供了一个参数可以将中间的数据压缩~

list-compress-depth 0
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这个参数表示quicklist两端不被压缩的节点数.head节点跟tail节点老是不压缩的，方便在list的两端进行快速存取

• 0: 是个特殊值，表示都不压缩。这是Redis的默认值。
• 1: 表示quicklist两端各有1个节点不压缩，中间的节点压缩。
• 2: 表示quicklist两端各有2个节点不压缩，中间的节点压缩。
• 3: 表示quicklist两端各有3个节点不压缩，中间的节点压缩。
• 依此类推…

quickList结构图以下图所示：

图中对应的ziplist的配置大小和节点压缩深度配置以下:

list-max-ziplist-size 3
list-compress-depth 1
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在这里例子中咱们能够看到，quickList两端各有一个节点没有被压缩,它们的数据指针指向真正的ziplist(即zl的指向).中间的其余节点是被压缩过的，它们的数据指针指向quicklistLZF

应用场景

1.消息队列(无ack机制)

//生产者使用lpush将消息放入list中，消费者就能够经过rpop取出该消息,而且能够保证消息的有序性。
>lpush message "ces"
(integer) 1
>rpop message
"ces"
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2.时间轴

//一种场景就是当用户发送一条微博,经过lpush将它存放到list中,而后经过lrange就能够取出最近的最新的微博信息了
> lpush weibo "xiaoxi1"
(integer) 1
> lpush weibo "xiaoxi2"
(integer) 2
> lpush weibo "xiaoxi3"
(integer) 3
> lrange weibo 0 9
1) "xiaoxi3"
2) "xiaoxi2"
3) "xiaoxi1"
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