From 07f2b8206f72753b1fa8035b58723c01a1fcd364 Mon Sep 17 00:00:00 2001 From: Wesley <10225102463@stu.ecnu.edu.cn> Date: Wed, 6 Nov 2024 23:50:09 +0800 Subject: [PATCH] add report --- README.md | 388 +++++++++++++++++++++++++++++++++++++++- img/all_pass.jpg | Bin 0 -> 82082 bytes img/test1_succ.png | Bin 0 -> 7349 bytes img/test2_fail_with_3levels.png | Bin 0 -> 30257 bytes img/test2_succ.png | Bin 0 -> 8911 bytes img/test3_pass.png | Bin 0 -> 18195 bytes 6 files changed, 384 insertions(+), 4 deletions(-) create mode 100755 img/all_pass.jpg create mode 100755 img/test1_succ.png create mode 100755 img/test2_fail_with_3levels.png create mode 100755 img/test2_succ.png create mode 100755 img/test3_pass.png diff --git a/README.md b/README.md index a9ce668..d86feb2 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,389 @@ +
在LevelDB中实现TTL功能
-**本仓库提供TTL基本的测试用例** +
10225102463 李畅 10225101440 韩晨旭
-克隆代码: +# 实验要求 + ++ 在LevelDB中实现键值对的`TTL(Time-To-Live)`功能,使得过期的数据在**读取**时自动失效,并在适当的时候被**合并**清理。 + ++ 修改LevelDB的源码,实现对`TTL`的支持,包括数据的写入、读取和过期数据的清理。 + ++ 编写测试用例,验证`TTL`功能的正确性和稳定性。*(Optional)* + +# 1. 设计思路和实现过程 + +## 1.1 设计思路 + +### Phase 0 + +在LevelDB中实现`TTL`功能主要涉及数据的**读、写、合并**。 + +在**写入**数据时,`TTL`功能是个可选项。从代码层面来说,LevelDB数据的写入调用了`Put`函数接口: -```bash -git clone --recurse-submodules https://gitea.shuishan.net.cn/building_data_management_systems.Xuanzhou.2024Fall.DaSE/leveldb_base.git ``` +// 假设增加一个新的Put接口,包含TTL参数, 单位(秒) +Status DB::Put(const WriteOptions& opt, const Slice& key, + const Slice& value, uint64_t ttl); + +// 如果调用的是原本的Put接口,那么就不会失效 +Status DB::Put(const WriteOptions& opt, const Slice& key, + const Slice& value); +``` + +这段代码中,如果存入`TTL`参数,则调用本实验中新实现的`Put`函数接口;否则直接调用原有的`Put`接口。 + +### Phase 1 + +本小组的思路很简明: + ++ 直接将`TTL`信息在**写入**阶段添加到原有的数据结构中 ++ 在**读取**和**合并**时从得到的数据中 **解读** 出其存储的`TTL`信息,判断是否过期 + +因此,接下来需要思考的是如何将`TTL`信息巧妙地存入LevelDB的数据结构中。 + +### Phase 2 + +由于插入数据时调用的`Put`接口只有三个参数,其中`opt`是写入时的系统配置,实际插入的数据只有`key/value`,因此存储`ttl`信息时,最简单的方法就是存入`key`或`value`中。 + +在这样的方法中,可以调用原有的`Put`函数,将含义`ttl`信息的`key/value`数据存入数据库。 + +经过讨论后,本小组选择将`ttl`信息存入`value`中。 + +这样做的优缺点是: + ++ **优点**:由于LevelDB在合并数据的过程中,需要根据`SSTable`的`key`对数据进行有序化处理,将`ttl`信息存储在`value`中不会影响`key`的信息,因此对已有的合并过程不产生影响 + ++ **缺点**:在获取到`SSTable`的`key`时,无法直接判断该文件是否因为`ttl`而成为过期数据,仍然需要读取对应的`value`才能判断,多了一步读取开销。***但是***,实际上在读取数据以及合并数据的过程中,其代码实际上都读取了对应`SSTable`中存储的`value`信息,因此获取`ttl`信息时必要的读取`value`过程并不是多余的,实际***几乎不***造成额外的读取开销影响 + +### Phase 3 + +在确定插入数据时选用的方法后,读取和合并的操作只需要在获取数据文件的`value`后解读其包含的`ttl`信息,并判断是否过期就可以了。 + +## 1.2 实现过程 + +### 1.2.1 写入 Put + +首先需要实现的是将`ttl`信息存入`value`的方法。`Put`中获取的`ttl`参数是该数据文件的**生存时间(单位:秒)**。本小组对此进行处理方法是通过`ttl`计算过期时间的**时间戳**,转码为字符串类型后存入`value`的最前部,并用`|`符号与原来的值分隔开。 + +对于不使用`ttl`的数据文件,存入`0`作为`ttl`,在读取数据时若读到`0`则表示不使用`TTL`功能。 + +将此功能封装为**编码**和**解码**文件过期时间(DeadLine)的函数,存储在`/util/coding.h`文件中: + +```c++ +inline std::string EncodeDeadLine(uint64_t ddl, const Slice& value) { // 存储ttl信息 + return std::to_string(ddl) + "|" + value.ToString(); +} + +inline void DecodeDeadLineValue(std::string* value, uint64_t& ddl) { // 解读ttl信息 + auto separator = value->find_first_of("|"); + std::string ddl_str = value->substr(0, separator); + ddl = std::atoll(ddl_str.c_str()); + *value = value->substr(separator + 1); +} +``` + +在写入数据调用`Put`接口时,分别启用`EncodeDeadLine`函数存储`ttl`信息: + +```c++ +// Default implementations of convenience methods that subclasses of DB +// can call if they wish +// TTL: Update TTL Encode +Status DB::Put(const WriteOptions& opt, const Slice& key, const Slice& value) { // 不使用TTL + WriteBatch batch; + batch.Put(key, EncodeDeadLine(0, value)); + return Write(opt, &batch); +} + +// TTL: Put methods for ttl +Status DB::Put(const WriteOptions& options, const Slice& key, + const Slice& value, uint64_t ttl) { // 使用TTL + WriteBatch batch; + auto dead_line = std::time(nullptr) + ttl; // 计算过期时间的时间戳 + batch.Put(key, EncodeDeadLine(dead_line, value)); + return Write(options, &batch); +} +``` + +### 1.2.2 读取 Get + +LevelDB在读取数据时,调用`Get`接口,获取文件的`key/value`,因此只需要在`Get`函数中加入使用`TTL`功能的相关代码: + +```c++ +Status DBImpl::Get(const ReadOptions& options, const Slice& key, + std::string* value) { + (......) + + // Unlock while reading from files and memtables + { + mutex_.Unlock(); + // First look in the memtable, then in the immutable memtable (if any). + LookupKey lkey(key, snapshot); + if (mem->Get(lkey, value, &s)) { + // Done + } else if (imm != nullptr && imm->Get(lkey, value, &s)) { + // Done + } else { + s = current->Get(options, lkey, value, &stats); + have_stat_update = true; + } + + // TTL: Get the true value and make sure the data is still living + if(!value->empty()) { + uint64_t dead_line; + DecodeDeadLineValue(value, dead_line); + if (dead_line != 0) { + // use TTL + if (std::time(nullptr) >= dead_line) { + // data expired + *value = ""; + s = Status::NotFound("Data expired"); + } + } else { + // TTL not set + } + } + mutex_.Lock(); + } + + (......) +} +``` + +若使用了`TTL`功能,则当文件过期时,返回`NotFound("Data expired")`的信息,即“数据已清除”。 + +**注意**:由于LevelDB对于数据的读取是只读`ReadOnly`的,因此只能返回`NotFound`的信息,而无法真正清理过期数据。 + +### 1.2.3 合并 Compaction + +在合并的过程中,需要做到清理掉过期的数据,释放空间。 + +在大合并的过程中,需要调用`DoCompactionWorks`函数实现合并的操作,也是在这个过程中,LevelDB得以真正完成清理旧版本数据、已删除数据并释放空间的过程。 + +其实现逻辑是在该函数的过程中引入一个布尔变量`drop`,对于需要清理的数据设置`drop`为`True`,而需要保留的数据则是`drop`为`False`,最后根据`drop`的值清理过期数据,并将需要保留的数据合并写入新的`SSTable`。 + +因此,我们只需要在判断`drop`为`True`的条件中加入对过期时间(DeadLine)的判断就可以实现`TTL`功能的清理过期数据了: + +```c++ +Status DBImpl::DoCompactionWork(CompactionState* compact) { + (......) + + while (input->Valid() && !shutting_down_.load(std::memory_order_acquire)) { + (......) + + // Handle key/value, add to state, etc. + bool drop = false; + if (!ParseInternalKey(key, &ikey)) { + // Do not hide error keys + current_user_key.clear(); + has_current_user_key = false; + last_sequence_for_key = kMaxSequenceNumber; + } else { + if (!has_current_user_key || + user_comparator()->Compare(ikey.user_key, Slice(current_user_key)) != + 0) { + // First occurrence of this user key + current_user_key.assign(ikey.user_key.data(), ikey.user_key.size()); + has_current_user_key = true; + last_sequence_for_key = kMaxSequenceNumber; + } + + std::string value = input->value().ToString(); + uint64_t ddl; + DecodeDeadLineValue(&value, ddl); + + + if (last_sequence_for_key <= compact->smallest_snapshot) { + (......) + } else if (ddl <= std::time(nullptr)) { // 根据ttl判断是否为过期数据 + // TTL: data expired + drop = true; + } + + last_sequence_for_key = ikey.sequence; + } + + (......) + + input->Next(); + } + (......) +} +``` + +理论上,`Compaction`相关的代码也实现了,但实际上还会存在一些问题。具体问题和解决方法详见 [问题和解决方案](#3.-问题和解决方案)。 + +## 2. 测试用例和测试结果 + +### TestTTL.ReadTTL + +`TestTTL`中第一个测试样例,检测插入和读取数据时,读取过期数据能够正确返回`NotFound`。 + +![ReadTTL](img/test1_succ.png) + +### TestTTL.CompactionTTL + +`TestTTL`中第二个测试样例,检测插入和合并数据,能够在触发合并时清除所有过期数据。 + +![CompactionTTL](img/test2_succ.png) + +然而,当数据库的设定的`level`过小时,仍然会出现错误。 + +![CompactionTTL_fail](img/test2_fail_with_3levels.png) + +具体问题和解决方法见 [问题和解决方案](#3.-问题和解决方案)。 + +### TestTTL.LastLevelCompaction + +在解决了上面遇到的问题之后,本小组添加了一个测试样例,用来检测在含义`SSTable`的最大层能否正确检测文件数量和合并、清理过期数据。 + +![LastLevelCompaction](img/test3_pass.png) + +最后,展示三个测试样例一起运行的结果: + +![All_pass](img/all_pass.jpg) + +## 3. 问题和解决方案 + +### 3.1 无法合并和清理所有数据文件 + +本实验的问题和**合并**`Compaction`有关。 + +LevelDB中`Compaction`的逻辑是选中特定层(`level`)合并,假设为`level n`。在`level n`中找目标文件`SSTable A`(假设该次触发的合并从文件A开始),并确定`level n`以及`level n+1`中与`SSTable A`包含的数据(`key/value`)有`key`发生重复(`overlap`)的所有文件,合并后产生新的`SSTable B`放入`level n+1`层中。 + +这样引发的问题是:由`DoCompactionWorks`代码可知,不参与合并的文件无法被获取信息,因而即使过期了也无法被清理。在此例子中,若`level n+1`层中有含有过期数据的`SSTable C`,但`SSTable C`与`SSTable A`发生合并时触及的所有文件都没有`overlap`的话,则在该次合并中并没有被触及,因而无法被清理。 + +再次强调,合并过程必须清理**所有**已经过期的数据(尽管这听起来有些让人困惑,因为正常使用时,没有被合并的过期数据即使未被清理也不影响正常使用),而无法被清理的`SSTable C`明显是个例外,是个错误。 + +而在LevelDB提供的`CompactRange(nullptr,nullptr)`这个“合并所有数据”的功能中,同样会发生这样的错误,导致有部分数据文件并没有在合并过程中被触及——即使它声称合并了**所有**数据。 + +从代码层面可以理解导致该错误的原因。原来的代码: + +```c++ +void DBImpl::CompactRange(const Slice* begin, const Slice* end) { + int max_level_with_files = 1; + { + MutexLock l(&mutex_); + Version* base = versions_->current(); + for (int level = 1; level < config::kNumLevels; level++) { + if (base->OverlapInLevel(level, begin, end)) { + max_level_with_files = level; + } + } + } + TEST_CompactMemTable(); // TODO(sanjay): Skip if memtable does not overlap + for (int level = 0; level < max_level_with_files; level++) { + TEST_CompactRange(level, begin, end); + } +} + +void DBImpl::TEST_CompactRange(int level, const Slice* begin, + const Slice* end) { + assert(level >= 0); + assert(level + 1 < config::kNumLevels); + + (......) +} +``` + +这里注意两个数:`config::kNumLevels`和`max_level_with_files`: + ++ config::kNumLevels:是LevelDB在启动时设定的数,表示总共使用的`level`层数。默认值为7 + ++ max_level_with_files:表示含有`SSTable`文件的最高层的编号。注意,这里的`level`编号是从0开始的,因此`max_level_with_files`理论最大值是`config::kNumLevels - 1` + +在原来的代码中,`DBImpl::CompactRange`函数中的最后一个循环,选择的`level`无法到达`max_level_with_files`,因此即使“合并所有数据”,也没法触及`max_level_with_files`中的所有文件,而是对`max_level_with_files - 1`层的所有文件做了大合并。 + +修改后的代码如下: + +```c++ +void DBImpl::CompactRange(const Slice* begin, const Slice* end) { + int max_level_with_files = 1; + { + MutexLock l(&mutex_); + Version* base = versions_->current(); + for (int level = 1; level < config::kNumLevels; level++) { + if (base->OverlapInLevel(level, begin, end)) { + max_level_with_files = level; + } + } + } + TEST_CompactMemTable(); // TODO(sanjay): Skip if memtable does not overlap + for (int level = 0; level < max_level_with_files + 1; level++) { + TEST_CompactRange(level, begin, end); + } +} + +void DBImpl::TEST_CompactRange(int level, const Slice* begin, + const Slice* end) { + assert(level >= 0); + assert(level < config::kNumLevels); + + (......) +} +``` + +简单的方法是直接修改了循环的条件和相关函数`TEST_CompactRange`的判断条件,使得`level`可以到达`max_level_with_files`,这样就可以真正地合并所有文件并清理过期数据。 + +### 3.2 最后一层文件堆积且无法清理 + +在上一个问题中的解决方法在遇到最后一层(`MaxLevel`),即`level == config::kNumLevels - 1`时失效,因为这个时候的`Compaction`无法再找到`level + 1`的文件合并了,因为`level + 1`层根本不存在。 + +*在测试样例中,由于存入的文件到达不了`MaxLevel`,并不会遇到这种情况,因此可以顺利通过样例。为了制造出现错误的情况,可以将`config::kNumLevels`设置为较小值(如:3)再运行测试。这种情况放在`git`仓库的`light_ver`分支的修改里了。* + +这同时引发了另一个问题的思考:当存储的数据文件(`SSTable`)已经存放在最高层`MaxLevel`中时,无法被合并和清除,因此本小组决定对涉及`MaxLevel`的合并做优化。 + +我们选择的优化方式基于以下思考: + ++ 通常情况下,`MaxLevel`仅在手动触发的大合并即`Manual Compaction`中使用到,而自动合并`Size Compaction`和`Seek Compaction`几乎不会发生在`MaxLevel`,理由是: + + Seek Compaction的情况:由于`MaxLevel`没有“下一层”,当在该层的`seek`查找不到文件时则返回`NotFound`,不可能触发`Seek Compaction` + + Size Compaction的情况:由于数据库的`SSTable`通常按层顺序存储,若`MaxLevel`的存储文件大小达到上限,说明数据库的存储容量已经满了 ++ 在大合并中,由于针对上个问题的修改方案,当`level`到达`max_level_with_files`时,会和下一层(此时为空)合并,导致合并后的文件会存入下一层,然而这个操作的目的仅仅是清理`max_level_with_files`的过期数据而已,并不需要移动文件,且这样做更早地使用了更高的`level` + +优化方案:修改`Manual Compaction`相关的函数`CompactRange`、`TEST_CompactRange`和`InstallCompactionResults`,以及`Manual Compaction`类、`Compaction`类,向它们引入布尔类型变量`is_last_level`,判断当前层是否是`max_level_with_files`。 + +主要修改的函数: + +```c++ +void VersionSet::SetupOtherInputs(Compaction* c) { + const int level = c->level(); + InternalKey smallest, largest; + + AddBoundaryInputs(icmp_, current_->files_[level], &c->inputs_[0]); + GetRange(c->inputs_[0], &smallest, &largest); + + // TTL: manual compaction for last level shouldn't have inputs[1] + if (!c->is_last_level()) { + current_->GetOverlappingInputs(level + 1, &smallest, &largest, + &c->inputs_[1]); + AddBoundaryInputs(icmp_, current_->files_[level + 1], &c->inputs_[1]); + } + (......) + if (!c->inputs_[1].empty()) { + (......) + } + + (......) +} +``` + +若当前合并的`level`是`max_level_with_files`,则`Compaction* c`不需要`inputs_[1]`,相当于和一个空的`level`进行合并。 + +```c++ +Status DBImpl::InstallCompactionResults(CompactionState* compact) { + (......) + for (size_t i = 0; i < compact->outputs.size(); i++) { + const CompactionState::Output& out = compact->outputs[i]; + if (!compact->compaction->is_last_level()) { + compact->compaction->edit()->AddFile(level + 1, out.number, out.file_size, out.smallest, out.largest); + } else { + // TTL: outputs of last level compaction should be writen to last level itself + compact->compaction->edit()->AddFile(level, out.number, out.file_size, out.smallest, out.largest); + } + } + return versions_->LogAndApply(compact->compaction->edit(), &mutex_); +} +``` + +添加判断条件,若当前层是最高层,则合并后的文件仍然放在本层。 +修改后,可以同时解决提到的两个问题,成功清理最高层的过期数据文件。 diff --git a/img/all_pass.jpg b/img/all_pass.jpg new file mode 100755 index 0000000000000000000000000000000000000000..72da559abbe9a3ca7c8027f4e5d2c0772115b6ed GIT binary patch literal 82082 zcmeFZ1yogC_b&|h>k0El)3V88QdfcL8aO8b@O zw>#QPv_Cko&|X6Szz~@$*2`T$T+6}T+uh5--GfPpmmd(9S5=2yNd&_$%=QZsP0+`G zO#*6Rn-8&{?;zzvFP8{MR238~wRALY(V3+Kz3_e 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