Final answer:
The correct approach is termed horizontal partitioning, which involves splitting a table into partitions based on rows, with each partition containing entire rows from the original table and corresponding
Step-by-step explanation:
The correct answer is horizontal partitioning, also known as row splitting. When a table is divided into partitions such that none of the partitions contain all of the columns from the original table, it implies that the table has been segmented based on row criteria.
This is different from vertical partitioning, where the table is divided based on columns, with each partition containing a subset of the original table's columns but potentially all rows.
In horizontal partitioning, each partition contains entire rows, meaning all the columns for those rows, but the data is divided into partitions typically based on a range or value of one or more columns. For example, a customer database table could be horizontally partitioned into three partitions based on the geographic region of the customers.
It's important to choose the right partitioning strategy to optimize database performance and manageability. Horizontal partitioning can improve query performance and simplify data management when dealing with large volumes of data that are accessed unevenly.