In full swing jinsanyin four job-hunting season to usher in the end, a few joy a few sorrow, both see Tencent Ali Baidu factory offer, and envy 30K, 40K, 50K high salary, more or in fact all kinds of interview misstep story. There are many successful cases, but the reasons for failure are all the same. According to statistics, about 70 percent of job seekers interview with the same question, and the rest? Is not hold up to this problem to die. What is it? Big data high concurrency!
Three ways to die with high concurrency of big data
Year after year job-hopping season, return will ask high concurrency, why so high frequency? The reason is simple, because high concurrency can cause too many problems, such as interface response timeout, CPU load, GC frequency, deadlock, large amount of data storage, etc., it can test the real situation of job seekers. When asked about the high concurrency of big data, unsuccessful job seekers usually die in one of three ways:
Many people fall down at the first step because they have no concept of the data metrics: it is not clear what metrics to choose to measure the high concurrency system. Can not distinguish concurrency and QPS, and even do not know their system’s total users, active users, flat peak and peak QPS and TPS and other key data, the following talk about optimization is just scratching the surface.
Two kinds of dead method is an armchair strategist, talk: speaking of high concurrency scheme, a lot of people can gushing, big to split vertical, horizontal extension, cache, asynchronous architecture design, small to concurrent programming, request to merge, file compression, such as programming technology, has no experience in practice fall to the ground, however, can only be an armchair strategist, ask to discover. After the above two levels, the interviewer will choose a specific technology to go into, whether it is Redis, or RabbitMQ, or horizontal design, or database optimization, or even some front-end optimization techniques, this time it will see the real effort, used is used, you can’t make up.
Such an analysis, can also understand, why must ask big data high concurrency? Without a comprehensive understanding of concurrency, understanding and practice of system architecture, and in-depth understanding of concurrency technology, it is indeed impossible to solve the problem of high concurrency in big data. Year of the Ox job-hopping season, high salary so much, can not give up because of a problem, the following to arrange a wave, I hope to help you over the mountains and the sea, get the offer!