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README
Apache-2.0

KipDB - Keep it Public DB

star fork github star github fork Crates.io

Kiss First Data Base

快速上手 🤞

直接调用

/// 指定文件夹以开启一个KvStore
let kip_db = LsmStore::open("/tmp/learning materials").await?;

// 插入数据
kip_db.set(&vec![b'k'], vec![b'v']).await?;
// 获取数据
kip_db.get(&vec![b'k']).await?;
// 已占有硬盘大小
kip_db.size_of_disk().await?
// 已有数据数量
kip_db.len().await?;
// 删除数据
kip_db.remove(&vec![b'k']).await?;

// 强制数据刷入硬盘
kip_db.flush().await?;

远程应用

服务启动

/// 服务端启动!
let listener = TcpListener::bind("127.0.0.1:8080").await?;

kip_db::net::server::run(listener, tokio::signal::ctrl_c()).await;

远程调用

/// 客户端调用!
let mut client = Client::connect("127.0.0.1:8080").await?;

// 插入数据
client.set(&vec![b'k'], vec![b'v']).await?
// 获取数据
client.get(&vec![b'k']).await?
// 已占有硬盘大小
client.size_of_disk().await?
// 存入指令数
client.len().await?
// 数据刷入硬盘
client.flush().await?
// 删除数据
client.remove(&vec![b'k']).await?;
// 批量指令执行(可选 并行/同步 执行)
let vec_batch_cmd = vec![CommandData::get(b"k1".to_vec()), CommandData::get(b"k2".to_vec())];
client.batch(vec_batch_cmd, true).await?

内置多种持久化内核👍

  • LsmStore: 基于Lsm,使用Leveled Compaction策略(主要内核)
  • HashStore: 基于哈希
  • SledStore: 基于Sled数据库

操作示例⌨️

服务端

PS D:\Workspace\kould\KipDB\target\release> ./server -h
KipDB-Server 0.1.0
Kould <2435992353@qq.com>
A KV-Store server

USAGE:
server.exe [OPTIONS]

OPTIONS:
-h, --help           Print help information
--ip <IP>
--port <PORT>
-V, --version        Print version information

PS D:\Workspace\kould\KipDB\target\release> ./server   
2022-10-13T06:50:06.528875Z  INFO kip_db::kernel::lsm::ss_table: [SsTable: 6985961041465315323][restore_from_file][TableMetaInfo]: MetaInfo { level: 0, version: 0, data_len: 118, index_len: 97, part_size: 64, crc_code: 43553795 }, Size of Disk: 263
2022-10-13T06:50:06.529614Z  INFO kip_db::net::server: [Listener][Inbound Connections]
2022-10-13T06:50:13.437586Z  INFO kip_db::net::server: [Listener][Shutting Down]

客户端

PS D:\Workspace\kould\KipDB\target\release> ./cli --help
KipDB-Cli 0.1.0
Kould <2435992353@qq.com>
Issue KipDB Commands

USAGE:
    cli.exe [OPTIONS] <SUBCOMMAND>

OPTIONS:
    -h, --help                   Print help information
        --hostname <hostname>    [default: 127.0.0.1]
        --port <PORT>            [default: 6333]
    -V, --version                Print version information

SUBCOMMANDS:
    batch-get
    batch-get-parallel
    batch-remove
    batch-remove-parallel
    batch-set
    batch-set-parallel
    flush
    get
    help                     Print this message or the help of the given subcommand(s)
    len
    remove
    set
    size-of-disk
    
PS D:\Workspace\kould\KipDB\target\release> ./cli batch-set kould kipdb welcome !
2022-09-27T09:50:11.768931Z  INFO cli: ["Done!", "Done!"]

PS D:\Workspace\kould\KipDB\target\release> ./cli batch-get kould kipdb          
2022-09-27T09:50:32.753919Z  INFO cli: ["welcome", "!"]

Features🌠

  • Marjor Compation
    • 多级递增循环压缩 ✅
    • SSTable锁
      • 避免并行压缩时数据范围重复 ✅
  • KVStore
    • 参考Sled增加api
      • size_of_disk ✅
      • clear
      • contains_key
      • len ✅
      • ...
  • SSTable
    • 校验和 ✅
      • 用于校验数据是否正常
    • 布隆过滤器 ✅
      • 加快获取键值的速度
    • MetaBlock区
      • 用于存储统计数据布隆过滤器的存放
    • 数据压缩
  • Read Cache ✅
    • 加快数据读取,避免冗余硬盘读取IO
  • Manifest
    • 多版本
    • 持久化
  • 分布式
    • TAS(Test And Set)与Master调度主机
    • 服务端作为Worker支持单机与集群
    • 使用Raft复制协议保持状态一致

Perf火焰图监测

  • 为了方便性能调优等监测,提供了两个Dockerfile作为支持
    • Dockerfile: KipDB的Server与Cli
    • Dockerfile-perf: 外部Perf监测

使用步骤

  1. 打包KipDB本体镜像docker build -t kould/kip-db:v1 .
  2. 打包Perf监测镜像docker build -f Dockerfile-perf -t kould/perf:v1 .
  3. 以任意形式执行kould/kip
    • 例: docker run kould/kip-db:v1
  4. 执行attach-win.sh <kip-db容器ID>
    • 例: ./attach-win.sh 263ad21cc56169ebec79bbf614c6986a78ec89a6e0bdad5e364571d28bee2bfc
  5. 在该bash内输入. record.sh <kip-db的server进程pid>
    • 若不清楚进程id是多少可以直接输入ps,通常为1
    • 注意!: 不要关闭bash,否则会监听失败!
  6. 随后去对KipDB进行对应需要监测的操作
  7. 操作完毕后回到步骤5的bash内,以ctrl + c终止监听,得到perf.data
  8. 继续在该bash内输入. plot.sh <图片名.svg>, 即可生成火焰图
    • 导出图片一般可使用 docker cpdocker exec 或挂载 volume,为方便预览和复制文件,容器内置了轻量网页服务,执行 thttpd -p <端口号> 即可。由于脚本中没有设置端口转发,需要 docker inspect <目标容器ID> | grep IPAdress 查看目标容器的 IP,然后在浏览器中访问即可。若需要更灵活的操作,可不用以上脚本手动添加参数运行容器。

参考自:https://chinggg.github.io/post/docker-perf/

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简介

轻量级、异步 基于LSM Leveled Compaction K-V数据库 展开 收起
Rust
Apache-2.0
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