Personal experience Summary: experience and skills in processing massive data (3) _ MySQL

Personal experience Summary: experience and skills in processing massive data (3) bitsCN.com performance and prevention of excessive deviations. I have sampled 0.1 billion million rows of table data and extracted 4 million rows. the error tested by the software is 5‰, which is acceptable to the customer.
There are also some methods that need to be used in different situations and scenarios, such as using the proxy key and other operations. the advantage is that the aggregation time is accelerated, because the aggregation of the numeric type is much faster than the aggregation of the numeric type. Similar situations need to be addressed based on different needs.
Massive data is a development trend and is increasingly important for data analysis and mining. extracting useful information from massive data is important and urgent, which requires accurate processing and high accuracy, in addition, the processing time is short and valuable information can be obtained quickly. Therefore, the research on massive data is promising and worthy of extensive and in-depth research. BitsCN.com