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(中文) RPC框架技術(shù)初窺

(中文)

RPC是什么

RPC（Remote Procedure Call Protocol）——遠(yuǎn)程過(guò)程調(diào)用協(xié)議，它是一種通過(guò)網(wǎng)絡(luò)從遠(yuǎn)程計(jì)算機(jī)程序上請(qǐng)求服務(wù)，而不需要了解底層網(wǎng)絡(luò)技術(shù)的協(xié)議。
RPC采用客戶(hù)機(jī)/服務(wù)器模式。請(qǐng)求程序就是一個(gè)客戶(hù)機(jī)，而服務(wù)提供程序就是一個(gè)服務(wù)器。首先，客戶(hù)機(jī)調(diào)用進(jìn)程發(fā)送一個(gè)有進(jìn)程參數(shù)的調(diào)用信息到服務(wù)進(jìn)程，然后等待應(yīng)答信息。在服務(wù)器端，進(jìn)程保持睡眠狀態(tài)直到調(diào)用信息到達(dá)為止。當(dāng)一個(gè)調(diào)用信息到達(dá)，服務(wù)器獲得進(jìn)程參數(shù)，計(jì)算結(jié)果，發(fā)送答復(fù)信息，然后等待下一個(gè)調(diào)用信息，最后，客戶(hù)端調(diào)用進(jìn)程接收答復(fù)信息，獲得進(jìn)程結(jié)果，然后調(diào)用執(zhí)行繼續(xù)進(jìn)行。
以上是百度百科對(duì)RPC的解釋。
一個(gè)通俗的描述是：客戶(hù)端在不知道調(diào)用細(xì)節(jié)的情況下，調(diào)用存在于遠(yuǎn)程計(jì)算機(jī)上的某個(gè)對(duì)象，就像調(diào)用本地應(yīng)用程序中的對(duì)象一樣。

(中文) 深入解析jquery實(shí)現(xiàn)原理第一章

JQuery is a very good JavaScript library, which greatly enhances the development experience of the front end js, so I recently looked at the source code of JQuery and wanted to share some of my understanding with you.

How to Improve APP Retention Rate?

The sole purpose of business is to create and retain customers

Our APP marketers are always better at getting more and more people to use our products and become our users. But how do you keep them when you have them? It may not be hard for a new app to attract hundreds of millions of users. But it’s never easy to keep these users and increase the number of users to 100 million.
Although users retention needs us to spend a long time to complete the work, we can still take some measures to improve it in the short term and can improve user activity, such as some marketing activities or according to the user’s usage of history to their push precise related news. This is a good way to interact with the users to let them participate, users can be obtained from these activities and news to get more valuable things. Therefore, the app retention rate will be increased.

ORA 4031 error depth parsing

To fully understand the cause of the 4301 error is to understand the execution of the SQL statement and the structure of the Oracle Shared memory.

The communication process diagram between the client and Oracle

4 Effective Strategies to Improve the Engagement of APP Users

The definition of user engagement varies from product to product

For example, for a bookkeeping app, an effective user should be logged in every day to add his new income or spending. For an operator’s app, an effective user may be logging in once a month, charging a fee, or ordering additional traffic packets. Therefore, user engagement has no uniform quantifiable definition standard, but it is possible to form the standard of vertical industry. For Banks, for example, start times the average of 1.7 times the user is a reasonable value (the value come from Cobub’s long-term observations, Cobub is a domestic open source mobile application of statistical analysis tools).
Engagement is not like page views (PV), visitors (UV), users pay or conversion rate these indicators as easy to measure, not a data statistical analysis tools to directly reflect product user engagement. However, ignoring user engagement is very dangerous.

The Construction and Deployment of ELK Real Time Log Analysis Platform

1. The Initial Contact with ELK

1.1 Why ELK?

Logs mainly include system logs, application logs and security logs. The system operation and development personnel can log to understand the hardware and software information of the server, check the errors in the configuration process and the causes of the errors. The log can understand the server’s load, performance security, and take timely corrective actions to correct errors. In general, logs are stored separately on different devices. If you manage dozens or hundreds of servers, you’re still using the traditional method of logging each machine in turn. It feels cumbersome and inefficient. It is imperative that we use centralized logging management, such as open source syslog, to collect and summarize log collection on all servers. Centralized management after logging, log statistics and retrieval has become a more troublesome thing, normally we use grep, awk and wc Linux commands can realize retrieval and statistics, but to demand a higher query, sorting and statistics requirements and the huge machine quantity still use this way to avoid a bit overwhelmed.

Selection and Use of the Hadoop Yarn Scheduler

1. the introduction

Yarn has the role of resource management and task scheduling in the Hadoop ecosystem. A simple understanding of the architecture of the Yarn is given before discussing its constructors.

The banking industry predicts and prevents the churn of users by big data

“50% of users worldwide have been replaced or are preparing to replace the banks they use, and in the US and Canada, the percentage of consumers changing their banks is on the rise.”  ——Global Consumer Banking Survey 2012, Ernst & Young.

The Perfect Couple: Data Analytics and Marketing

There has never been a better time to be in the field of marketing. Today’s marketing professionals have a lot of tools at their fingertips to create more compelling, effective campaigns and strategies. One such tool is data analytics.

Cobub Cloud uncensored analysis module released!

Recently, the large Internet platform Cobub Cloud was released uncensored analysis module, is designed to help enterprise real-time understanding of products and user dynamics, operations operating strategies in a timely manner.