• Stars
    star
    1,974
  • Rank 23,486 (Top 0.5 %)
  • Language
    C++
  • License
    Other
  • Created about 8 years ago
  • Updated over 1 year ago

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Repository Details

A simple C++ based RPC framework.

PhxRPC是微信后台团队推出的一个非常简洁小巧的RPC框架,编译生成的库只有450K。

作者: Sifan Liu, Haochuan Cui 和 Duokai Huang

联系我们:[email protected]

想了解更多, 以及更详细的编译手册,请进入中文WIKI,和扫描右侧二维码关注我们的公众号

PhxRPCBuild Status

总览

  • 使用Protobuf作为IDL用于描述RPC接口以及通信数据结构。
  • 基于Protobuf文件自动生成Client以及Server接口,用于Client的构建,以及Server的实现。
  • 半同步半异步模式,采用独立多IO线程,通过Epoll管理请求的接入以及读写,工作线程采用固定线程池。IO线程与工作线程通过内存队列进行交互。
  • 支持协程Worker,可配置多个线程,每个线程多个协程。
  • 提供完善的过载保护,无需配置阈值,支持动态自适应拒绝请求。
  • 提供简易的Client/Server配置读入方式。
  • 基于lambda函数实现并发访问Server,可以非常方便地实现Google提出的 Backup Requests 模式。

局限

  • 不支持多进程模式。

性能

使用Sample目录下的Search RPC C/S进行Echo RPC调用的压测,相当于Worker空转情况。

运行环境

CPU:24 x Intel(R) Xeon(R) CPU E5-2620 v3 @ 2.40GHz 内存:32 GB 网卡:千兆网卡 Client/Server机器之间PING值: 0.05ms 请求写入并发:1000个线程 业务数据大小:除去HTTP协议部分20b Worker线程数:20

性能测试结果(qps)

短连接

ucontext类型/IO线程 1 3 8 20
system 41k 85k 90k 92k
boost 45k 95k 95k 95k

长连接

ucontext类型/IO线程 1 3 8 20
system 55k 160k 360k 500k
boost 62k 175k 410k 500k

如何编译

Protobuf准备

PhxRPC必须依赖的第三方库只有Protobuf。在编译前,在third_party目录放置好protobuf目录,或者通过软链的形式。

boost优化

PhxRPC在ServerIO以及Client并发连接管理上使用了ucontext,而boost的ucontext实现要比system默认的更为高效,推荐使用boost。如果需要使用boost的话需要在third_party目录放置好boost目录,或者通过软链的形式。

编译环境

  • Linux
  • GCC-4.8及以上版本
  • boost 1.56及以上版本(可选)

编译安装方法

进入PhxRPC根目录。

make (默认是-O2编译,如需编译debug版,执行 make debug=y)
make boost (可选,编译PhxRPC的boost优化插件,编译之前先准备好boost库)

如何使用

编写proto文件

下面是sample目录下的proto文件样例。

syntax = "proto3";
package search;
import "google/protobuf/wrappers.proto";
import "google/protobuf/empty.proto";
import "phxrpc/phxrpc.proto";

enum SiteType {
    BLOG = 0;
    NEWS = 1;
    VIDEO = 2;
    UNKNOWN = 3;
}

message Site {
    string url = 1;
    string title = 2;
    SiteType type = 3;
    tring summary = 4;
}

message SearchRequest {
    string query = 1;
}

message SearchResult {
    repeated Site sites = 1;
}

service Search {
    rpc Search(SearchRequest) returns (SearchResult) {
        option(phxrpc.CmdID) = 1;
        option(phxrpc.OptString) = "q:";
        option(phxrpc.Usage) = "-q <query>";
    }
    rpc Notify(google.protobuf.StringValue) returns (google.protobuf.Empty) {
        option(phxrpc.CmdID) = 2;
        option(phxrpc.OptString) = "m:";
        option(phxrpc.Usage) = "-m <msg>";
    }
}

生成代码

(PhxRPC根目录)/codegen/phxrpc_pb2server -I (PhxRPC根目录) -I (Protobuf include目录) -f (proto文件路径) -d (生成代码放置路径)

# sample
../codegen/phxrpc_pb2server -I ../ -I ../third_party/protobuf/include -f search.proto -d .
../codegen/phxrpc_pb2server -I ../ -I ../third_party/protobuf/include -f search.proto -d . -u

两种生成模式,区别在于-u参数。

第一种生成默认的线程池worker模型。

第二种-u参数指定生成uthread worker模型,也就是工作线程池里面每个线程里面运行着多个协程。

调用完工具后,在生成代码放置目录下执行make,即可生成全部的RPC相关代码。

选择是否启用Boost优化

打开生成代码放置目录下的Makefile文件。

# choose to use boost for network
#LDFLAGS := $(PLUGIN_BOOST_LDFLAGS) $(LDFLAGS)

可以看到以上两行,取消注释掉第二行,重新make clean && make即可开启Boost对PhxRPC的优化。开启前记得编译好PhxRPC的Boost插件。

补充自己的代码

Server(xxx_service_impl.cpp)

int SearchServiceImpl::PHXEcho(const google::protobuf::StringValue &req,
        google::protobuf::StringValue *resp) {
    resp->set_value(req.value());
    return 0;
}

int SearchServiceImpl::Search(const search::SearchRequest &req,
        search::SearchResult *resp) {
    // 这里补充这个RPC调用的Server端代码
    return -1;
}

int SearchServiceImpl::Notify(const google::protobuf::StringValue &req,
        google::protobuf::Empty *resp) {
    // 这里补充这个RPC调用的Server端代码
    return -1;
}

Client (xxx_client.cpp)

// 这个是默认生成的代码,可自行修改,或利用我们提供的stub API自定义封装Client

int SearchClient::PHXEcho(const google::protobuf::StringValue &req,
        google::protobuf::StringValue *resp) {
    const phxrpc::Endpoint_t *ep = global_searchclient_config_.GetRandom();

    if (ep != nullptr) {
        phxrpc::BlockTcpStream socket;
        bool open_ret = phxrpc::PhxrpcTcpUtils::Open(&socket, ep->ip, ep->port,
                    global_searchclient_config_.GetConnectTimeoutMS(), nullptr, 0,
                    *(global_searchclient_monitor_.get()));
        if (open_ret) {
            socket.SetTimeout(global_searchclient_config_.GetSocketTimeoutMS());

            SearchStub stub(socket, *(global_searchclient_monitor_.get()));
            return stub.PHXEcho(req, resp);
        }
    }

    return -1;
}

UThread Client (xxx_client_uthread.cpp)

// 这个是默认生成的代码,可自行修改,或利用我们提供的stub API自定义封装Client
// UThread Client只能在采用PhxRPC uthread worker模型的server中调用。
// UThread Client构造函数需要传入UThreadEpollScheduler*类型参数,
// 这个参数来源可以在xxx_service_impl.h的私有变量中获得。

int SearchClientUThread::PHXEcho(const google::protobuf::StringValue &req,
        google::protobuf::StringValue *resp) {
    const phxrpc::Endpoint_t *ep = global_searchclientuthread_config_.GetRandom();

    if (uthread_scheduler_ != nullptr && ep != nullptr) {
        phxrpc::UThreadTcpStream socket;
        bool open_ret = phxrpc::PhxrpcTcpUtils::Open(uthread_scheduler_, &socket, ep->ip, ep->port,
                    global_searchclientuthread_config_.GetConnectTimeoutMS(),
                    *(global_searchclientuthread_monitor_.get()));
        if (open_ret) {
            socket.SetTimeout(global_searchclientuthread_config_.GetSocketTimeoutMS());

            SearchStub stub(socket, *(global_searchclientuthread_monitor_.get()));
            return stub.PHXEcho(req, resp);
        }
    }

    return -1;
}

Client并发调用样例

int SearchClient::PHXBatchEcho(const google::protobuf::StringValue &req,
        google::protobuf::StringValue *resp) {
    int ret = -1;
    size_t echo_server_count = 2;
    uthread_begin;
    for (size_t i = 0; i < echo_server_count; i++) {
        uthread_t [=, &uthread_s, &ret](void *) {
            const phxrpc::Endpoint_t *ep = global_searchclient_config_.GetByIndex(i);
            if (ep != nullptr) {
                phxrpc::UThreadTcpStream socket;
                if(phxrpc::PhxrpcTcpUtils::Open(&uthread_s, &socket, ep->ip, ep->port,
                            global_searchclient_config_.GetConnectTimeoutMS(),
                            *(global_searchclient_monitor_.get()))) {
                    socket.SetTimeout(global_searchclient_config_.GetSocketTimeoutMS());
                    SearchStub stub(socket, *(global_searchclient_monitor_.get()));
                    int this_ret = stub.PHXEcho(req, resp);
                    if (this_ret == 0) {
                        ret = this_ret;
                        uthread_s.Close();
                    }
                }
            }
        };
    }
    uthread_end;
    return ret;
}

uthread_begin, uthread_end, uthread_s, uthread_t这几个关键字是PhxRPC自定义的宏,分别表示协程的准备、结束,协程调度器以及协程的创建。

上面的代码实现了Google提出的 Backup Requests 模式。实现的功能是分别对两个Server同时发起Echo调用,当有一个Server响应的时候,则整个函数结束。在这段代码里面,我们提供了一种异步IO的同步写法,并给予了一些方便使用的宏定义。首先使用uthread_begin进行准备,然后使用uthread_t以lambda的形式创建一个协程,而在任意一个协程里面都可使用我们PhxRPC生成的Client API进行RPC调用,并可使用uthread_s随时结束所有RPC调用。最后的uthread_end真正通过协程调度发起这些lambda内的RPC调用,并等待结束。

当然你可以借用这4个宏定义,以同步代码的写法,进行更自定义的并发访问。

Server配置说明 (xxx_server.conf)

[Server]
BindIP = 127.0.0.1              // Server IP
Port = 16161                    // Server Port
MaxThreads = 16                 // Worker 线程数
WorkerUThreadCount = 50         // 每个线程开启的协程数,采用-u生成的Server必须配置这一项
WorkerUThreadStackSize = 65536  // UThread worker的栈大小
IOThreadCount = 3               // IO线程数,针对业务请自行调节
PackageName = search            // Server 名字,用于自行实现的监控统计上报
MaxConnections = 800000         // 最大并发连接数
MaxQueueLength = 20480          // IO队列最大长度
FastRejectThresholdMS = 20      // 快速拒绝自适应调节阀值,建议保持默认20ms,不做修改

[ServerTimeout]
SocketTimeoutMS = 5000          // Server读写超时,Worker处理超时

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