Tutorial by Topics: partition

Partitioning is a functionality to split tables and indexes into smaller pieces. It is used to improve performance and to manage the smaller pieces individually. The partition key is a column or a set of columns that defines in which partition each row is going to be stored. Partitioning Overview ...

RANGE partitioning. This type of partitioning assigns rows to partitions based on column values falling within a given range. LIST partitioning. Similar to partitioning by RANGE, except that the partition is selected based on columns matching one of a set of discrete values. HASH pa...

The number of partitions is critical for an application's performance and/or successful termination. A Resilient Distributed Dataset (RDD) is Spark's main abstraction. An RDD is split into partitions, that means that a partition is a part of the dataset, a slice of it, or in other words, a chunk ...

This technique divides input data into data classes to reduce test cases amount to validate a rule. The idea is that given a set of possible equivalent values, using just one of those values will be enough to design a test case. An advantage of this approach is reduction in the time required for...