I am tired of reading some books to introduce the peripheral skills of the database. I recently bought the book "massive database solutions". I have read the book, and the content arrangement is quite distinctive. The content includes the basic knowledge of foreign masterpieces, I have introduced the peripheral skills of books in China, and I feel different styles. Although the book is entitled to a massive database solution, after reading it, I do not feel the idea of a massive amount of data. I am more concerned with database optimization knowledge, more specifically, we will introduce some Oracle Database optimization knowledge, so those who want to read should be prepared and should not be confused by the title.
The title is indeed incorrect, but some knowledge about Oracle databases is still good, such as various tables and index implementation models and execution plans. Some of the practical experience of the author in the book is different from that in China. For example, the author attaches great importance to clustering data and fast data return, however, we have been talking little about these ideas. I personally think that clustering data processing is still a good optimization method. Of course, the problem can be solved by clustering. You can also consider using indexes to organize tables or tables to obtain similar results after restructuring by clustering keys, only clustering data processing is more reasonable at the underlying layer of the database. Quick data return is more suitable for displaying traditional C/S architecture data. Generally, B/S uses paging.
Chapter 1 of the book introduces the index building strategy. The indexing evaluation thought put forward by the author is actually a process of thinking about indexing evaluation by professional personnel. However, it seems that the actual operation is complicated, I think it is more suitable for recommending indexes using software.AlgorithmThoughts.
If your database is only a TB-level ORACLE System, this book will be useful. If you really want to build a Pb-level massive database, it may disappoint you.