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Tech Digging and Sharing. 协程(同步模型开发的方式达到异步效果) Ucontext(glibc) Bthread baidu rpc. Read on →. Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams. R Ananthanarayanan et al. SIGMOD 2013. Photon 是 Google 的数据流合并的系统,目的是 perform continuous stream joining in real-time ,例如 query log 和 click log 合并。 先看下用户使用的场景 用户先 query 一个搜索词,这时候的日志可以直接通过 Google 的网关服务器直接落盘,这里的日志称为 query log,也就是展示广告,表示发给用户的广告信息 之后的一段时间,用户浏览网页,可能会点击到某一条广告,这时候再将用户的 click log 发到某个 log datacenter。 Read on →. Read on →. Read on →.

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Tech Digging and Sharing | billowkiller.com Reviews
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Tech Digging and Sharing. 协程(同步模型开发的方式达到异步效果) Ucontext(glibc) Bthread baidu rpc. Read on →. Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams. R Ananthanarayanan et al. SIGMOD 2013. Photon 是 Google 的数据流合并的系统,目的是 perform continuous stream joining in real-time ,例如 query log 和 click log 合并。 先看下用户使用的场景 用户先 query 一个搜索词,这时候的日志可以直接通过 Google 的网关服务器直接落盘,这里的日志称为 query log,也就是展示广告,表示发给用户的广告信息 之后的一段时间,用户浏览网页,可能会点击到某一条广告,这时候再将用户的 click log 发到某个 log datacenter。 Read on →. Read on →. Read on →.
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KEYWORDS
1 blog
2 archives
3 tags
4 bigdata performance tunning
5 单节点优化
6 增加并发吞吐
7 io密集 多进程,多线程,异步,协程
8 cpu密集 多进程,多线程
9 异步 回调机制、事件驱动
10 除非资源达到瓶颈,否则不排队
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blog,archives,tags,bigdata performance tunning,单节点优化,增加并发吞吐,io密集 多进程,多线程,异步,协程,cpu密集 多进程,多线程,异步 回调机制、事件驱动,除非资源达到瓶颈,否则不排队,合适并发模型,队伍要均衡,过长的队伍,及时柔性处理 可丢服务,socket队列改成request队列,intro and issues,为什么需要对数据流合并呢,因此很有必要进行日志的合并以用于后续的计费、报表、模型训练等等,那么处理这个问题的难点在哪里,这要求解决
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Tech Digging and Sharing | billowkiller.com Reviews

https://billowkiller.com

Tech Digging and Sharing. 协程(同步模型开发的方式达到异步效果) Ucontext(glibc) Bthread baidu rpc. Read on →. Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams. R Ananthanarayanan et al. SIGMOD 2013. Photon 是 Google 的数据流合并的系统,目的是 perform continuous stream joining in real-time ,例如 query log 和 click log 合并。 先看下用户使用的场景 用户先 query 一个搜索词,这时候的日志可以直接通过 Google 的网关服务器直接落盘,这里的日志称为 query log,也就是展示广告,表示发给用户的广告信息 之后的一段时间,用户浏览网页,可能会点击到某一条广告,这时候再将用户的 click log 发到某个 log datacenter。 Read on →. Read on →. Read on →.

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1

Linux Memory Management - Tech Digging and Sharing

http://billowkiller.com/blog/2014/08/14/linux-memory-management

Tech Digging and Sharing. Reprint from http:/ www.kerneltravel.net/journal/v/mem.htm. 遵循 理论来源于实践 的 教条 ,我们先不必一下子就钻入内核里去看系统内 存到底是如何管理,那样往往会让你陷入似懂非懂的窘境 我当年就犯了这个错误。 所以最好的方式是先从外部 用户编程范畴 来观察进程如何使用内存,等 到大家对内存的使用有了较直观的认识后,再深入到内核中去学习内存如何被管理等理论知识。 稍有编程知识的朋友都能想到这几个数据段中包含有 程序代码段 、 程序数据段 、 程序堆栈段 等。 代码段需要防止在运行时被非法修改,所以只准许读取操作,而不允许写入 修改 操作 它是不可写的。 当进程调用malloc等函数分配内存时,新分配的内存就被动态添加到堆上 堆被扩张 当利用free等函数释放内存时,被释放的内存从堆中被剔除 堆被缩减. 栈是用户存放程序临时创建的局部变量,也就是说我们函数括弧 {} 中定义的变量 但不包括static声明的变量,static意味着在数据段中存放变量。 Cat /proc/ pid /maps.

2

Classical Sync Problem - Tech Digging and Sharing

http://billowkiller.com/blog/2014/08/23/classical-sync-problem

Tech Digging and Sharing. 1 使用互斥锁 & 条件变量. Laquo; Design Pattern Abstraction. Static and Dynamic Library ». Mesa: Google's Near Real-time OLAP Warehouse. Column-Stores vs. Row-Stores. Realtime Data Processing at Facebook. Funny Facts About Rating. My Delicious Bookmarks ».

3

Unix Network Programming Notes - Tech Digging and Sharing

http://billowkiller.com/blog/2014/07/22/network-programming

Tech Digging and Sharing. Unix Network Programming Notes. 出现的原因: 就是某一方在网络连接断开后,对等方没有检测到这个错误 对方断开 而没有调 用 closesocket,导致了这个状态的出现. 模拟这样一个环境:服务器192.168.1.112:4500在接收到一个客户端的连接后,休眠五秒后,服务器关闭与客户 端通讯的socket后正常退出,而客户端在连接服务器后,等待用户输入字符后,发送给客户端。 Software caused connection abort。 于是以出错信息 server terminated prematurely 退出。 然而如果某个中间路由器判定服务器主机已不可达,从而响应一个 destination unreachable ICMP消息,那么返回的错误是. 会立即返回 但是,如果send buffer中还有数据,系统会试着先把send buffer中的数据发送出去,然后close才返回。 Laquo; Summary of TCP/IP ILLustrated Volume 1.

4

QuickSort and Derivatives - Tech Digging and Sharing

http://billowkiller.com/blog/2014/08/09/quicksort

Tech Digging and Sharing. A typical recursive implementation of quick sort */. This function takes last element as pivot, places the pivot element at its correct position in sorted array, and places all smaller (smaller than pivot) to left of pivot and all greater elements to right of pivot */. A[] - Array to be sorted, l - Starting index, h - Ending index */. This function is same in both iterative and recursive*/. Initialize top of stack. Push initial values of l and h to stack. Pop h and l.

5

Category: rework - Tech Digging and Sharing

http://billowkiller.com/blog/categories/rework/index.html

Tech Digging and Sharing. Static and Dynamic Library. Modules in Network Programming. Nginx architecture(3)- memory pool. Nginx architecture(2)- Event Driven. Mesa: Google's Near Real-time OLAP Warehouse. Column-Stores vs. Row-Stores. Realtime Data Processing at Facebook. Funny Facts About Rating. My Delicious Bookmarks ».

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Tech Digging and Sharing. 协程(同步模型开发的方式达到异步效果) Ucontext(glibc) Bthread baidu rpc. Read on →. Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams. R Ananthanarayanan et al. SIGMOD 2013. Photon 是 Google 的数据流合并的系统,目的是 perform continuous stream joining in real-time ,例如 query log 和 click log 合并。 先看下用户使用的场景 用户先 query 一个搜索词,这时候的日志可以直接通过 Google 的网关服务器直接落盘,这里的日志称为 query log,也就是展示广告,表示发给用户的广告信息 之后的一段时间,用户浏览网页,可能会点击到某一条广告,这时候再将用户的 click log 发到某个 log datacenter。 Read on →. Read on →. Read on →.

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