1. What does millions visits means?
2. How to know the problem? Tools?
3. Steps for emergency repair
4. The real problem is “Socket”
5. Profiling with XHProf
6. Cachings and twemproxy
7. Summarize of skills
In the last year, we've gone from millions of pieces of data to billions of pieces of data. I will speak on a solution for scaling up and about the challenges presented. Also covered will be the future of data at Qihoo 360 with MongoDB.
1. What does millions visits means?
2. How to know the problem? Tools?
3. Steps for emergency repair
4. The real problem is “Socket”
5. Profiling with XHProf
6. Cachings and twemproxy
7. Summarize of skills
In the last year, we've gone from millions of pieces of data to billions of pieces of data. I will speak on a solution for scaling up and about the challenges presented. Also covered will be the future of data at Qihoo 360 with MongoDB.
my experience in spark tunning. All tests are made in production environment(600+ node hadoop cluster). The tunning result is useful for Spark SQL use case.