From 143d632ee3803bdf595d53c24263b8db42be1a04 Mon Sep 17 00:00:00 2001 From: smartkeyerror Date: Fri, 20 Aug 2021 16:28:21 +0800 Subject: [PATCH] :sparkles: Data Block --- .../articles/06-SSTable-data-block/README.md | 134 ++++++++++++++++++ .../images/1629167804004.png | Bin 0 -> 108015 bytes .../images/1629171038940.png | Bin 0 -> 19002 bytes .../images/1629179035821.png | Bin 0 -> 54011 bytes 4 files changed, 134 insertions(+) create mode 100644 debug/articles/06-SSTable-data-block/README.md create mode 100755 debug/articles/06-SSTable-data-block/images/1629167804004.png create mode 100755 debug/articles/06-SSTable-data-block/images/1629171038940.png create mode 100755 debug/articles/06-SSTable-data-block/images/1629179035821.png diff --git a/debug/articles/06-SSTable-data-block/README.md b/debug/articles/06-SSTable-data-block/README.md new file mode 100644 index 0000000..b06d446 --- /dev/null +++ b/debug/articles/06-SSTable-data-block/README.md @@ -0,0 +1,134 @@ +## SSTable——概览与 Data Block + +![Alt text](images/1629167804004.png) + +上图为 SSTable 格式的总览,**主要由 Data Block、 Meta Block、Metaindex Block、Index Block 以及 Footer 所组成**,主要分为 3 部分: 用户数据、元数据以及索引数据,其作用如下: + +- Data Block: 按照 `Comparator` 所定义的大小关系按顺序存储 User Key 以及 User Value。为了节省存储空间,leveldb 将会对 User Key 进行前缀压缩存储,将于下文详述。 +- Meta Block: 用于快速 filter 某一个 User Key 是否在当前 SSTable 中,默认为 Bloom Filter。 +- Metaindex Block: 指向 Meta Block 的索引,用于快速定位 Meta Block。 +- Index Block: 指向 Data Block 的索引,用于快速定位 Data Block。 +- Footer: 其中包含了 Metaindex Handle 和 Index Handle,其中 Metaindex Handle 指向 Metaindex Block 的起始位置和大小,Index Handle 则指向了 Index Block 的起始位置和大小,可以认为是索引的索引。 + +### 1. Data Block + +User Key 和 User Value 在 leveldb 中是未做分离处理的,也就是说每一对 Key-Value 都会按照一定的顺序存储到 Data Block 中,并且 Data Block 是从文件起始位置连续存储的。在一个 Data Block 中,可能会有多条数据记录,同时由于这些数据记录是有序存储的(默认为字典序),那么相邻的两条数据之间的 User Key 就有很大的可能性出现前缀重叠,如下图的 4 个 User Key,它们都具有相同的 "sma" 前缀: + +![Alt text](images/1629171038940.png) + +如此一来,leveldb 就可以对其进行前缀压缩处理了。对于有序的字符串而言,这么做能够节省非常多的存储空间,但是会对查询增加复杂度,也会影响查询效率。因此,leveldb 为了解决这个问题,额外引入了 Restart Point(重启点)。 + +Restart Point 的实现非常简单,leveldb 规定每隔 K 个 User Key,将不采用前缀压缩,而是直接存储整个 User Key,用于降低查询时的复杂度。K 值定义在 `Options.block_restart_interval` 中,默认为 16。也就是说,每隔 16 个 User Key 就存储完整的记录。同时,使用 Restart 数组来记录下这些 Restart Point 的文件偏移量,便于进行二分查找。如下图所示: + +![Alt text](images/1629179035821.png) + +Data Block 的构建是由 `BlockBuilder` 来完成的,类定义本身非常简单,如下所示: + +```cpp +class BlockBuilder { +public: + explicit BlockBuilder(const Options* options); + + BlockBuilder(const BlockBuilder&) = delete; + BlockBuilder& operator=(const BlockBuilder&) = delete; + + /* 清空相关字段内容 */ + void Reset(); + + /* 添加一个 Key-Value 对 */ + void Add(const Slice& key, const Slice& value); + + /* 完成 Block 的构建,压入重启点信息,并返回 buffer_,设置 finished_ 为 true */ + Slice Finish(); + + /* 返回 Block 的预估大小 */ + size_t CurrentSizeEstimate() const; + + /* 判断 buffer_ 是否为空 */ + bool empty() const { return buffer_.empty(); } + +private: + const Options* options_; /* Options 对象 */ + std::string buffer_; /* User Space 缓冲区 */ + std::vector restarts_; /* Restart Points 数组 */ + int counter_; /* Entry 计数器,用于重启点的计算 */ + bool finished_; /* 是否已经调用了 Finish() 方法 */ + std::string last_key_; /* 最后添加的 Key */ +}; +``` + +#### 1.1 `BlockBuilder::Add()` + +`BlockBuilder::Add(const Slice& key, const Slice& value)` 向 Block 中添加一个 User Key 与 User Value,由于 Block 中的数据是有序存储的,那么此时该 User Key 必须要大于最后一个被添加到 Block 的 User Key,也就是 `last_key_`: + +```cpp +/* 获取 last_key_ */ +Slice last_key_piece(last_key_); +assert(!finished_); +assert(counter_ <= options_->block_restart_interval); +/* 要么 buffer_ 为空,要么 key 大于最后一个被添加到 Block 中的 Key */ +assert(buffer_.empty() // No values yet? + || options_->comparator->Compare(key, last_key_piece) > 0); +``` + +紧接着,判断 `counter_` 和 `Options.block_restart_interval` 之间的大小关系,如果 `counter_` 小于 `Options.block_restart_interval` 的话,说明还没有到重启点,采用前缀压缩的方式存储。否则,就将当前 User Key 作为重启点,全量存储,并更新 `restarts_` 数组: + +```cpp +size_t shared = 0; + +/* 如果 counter_ < block_restart_interval 的话,说明还没有到重启点,直接进行前缀压缩处理 */ +if (counter_ < options_->block_restart_interval) { + /* last_key_ 就像链表里面儿的 prev 指针一样,只需要计算当前 User Key 和 last_key_ 有多少重合度即可 */ + const size_t min_length = std::min(last_key_piece.size(), key.size()); + /* 统计前缀长度 */ + while ((shared < min_length) && (last_key_piece[shared] == key[shared])) { + shared++; + } +} else { + /* 此时 counter_ 必然等于 block_restart_interval,需要建立新的重启点 */ + restarts_.push_back(buffer_.size()); + counter_ = 0; +} +``` + +最后,根据前缀长度 `shared` 就可以构建出一条存储记录了,非前缀压缩的记录和没有相同前缀的 User Key 的 `shared` 为 0,这点需要注意。 + +```cpp +/* 获取 key 和 last_key_ 的非共享长度 */ +const size_t non_shared = key.size() - shared; + +/* 使用变长编码,将 "" 写入 buffer_ */ +PutVarint32(&buffer_, shared); +PutVarint32(&buffer_, non_shared); +PutVarint32(&buffer_, value.size()); + +/* 将 User Key 非共享内容压入 buffer_ */ +buffer_.append(key.data() + shared, non_shared); +/* 将完整的 Value 压入 buffer_ */ +buffer_.append(value.data(), value.size()); + +/* 更新 last_key_ 为当前 User Key */ +last_key_.resize(shared); +last_key_.append(key.data() + shared, non_shared); +assert(Slice(last_key_) == key); +counter_++; +``` + +#### 1.2 `BlockBuilder::Finish()` + +当上层调用方使用 `BlockBuilder::Add()` 方法向 `buffer_` 中添加数据并达到一定量级以后,就可以调用 `Finish()` 方法将 `restarts_` 数组压入到 `buffer_` 中并返回完整的 Data Block 数据了: + +```cpp +Slice BlockBuilder::Finish() { + /* 压入 restarts_ 数组中的全部内容至 buffer_ */ + for (size_t i = 0; i < restarts_.size(); i++) { + PutFixed32(&buffer_, restarts_[i]); + } + /* 压入 Restart Points 数量 */ + PutFixed32(&buffer_, restarts_.size()); + /* 设置结束标志位 */ + finished_ = true; + /* 返回完整的 Buffer 内容 */ + return Slice(buffer_); +} +``` \ No newline at end of file diff --git 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