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Traditional transactional databases (TP) do not good at handling analytical computations. Professional OLAP databases are too heavy and often need clustering, resulting in high costs and more complicated system structure.
Storing static historical data as a lightweight esProc SPL file of columnar format enables access to SPL’s powerful computing capabilities, producing far better performance than traditional databases generate. esProc SPL is lightweight, and can run by being directly embedded in the application. It can speed up queries on dumped data while maintaining a relatively simple system structure.
Examples in these articles cover operations having performance issues that have greatly troubled traditional databases. Those include COUNT DISTINCT, foreign-key-based JOIN, large primary-subtable JOIN (including EXISTS), conditional filtering by enumerated field (including IN), to name a few. These articles will help you break database query performance bottlenecks.
【Here】 we have csv files and a create table SQL file to simulate part of the data of a company’s offline orders and e-commerce activities. The goal is to create tables in MYSQL database and import data from the csv files into them.
