Partitioning Tables

Objectives

After completing this lesson, you will be able to:

  • Define partitions to improve calculation view runtime

Partitioning Tables

Table Partitioning

Data in column store tables is separated into individual columns to support high performance on queries and also for better memory management. However, it is also possible to subdivide the rows of column tables into separate blocks of data. We call this table partitioning. If column separation is vertical subdivision, think of table partitioning as horizontal subdivision.

Note
Partitioning only applies to column store tables and not row store tables. This is why it is recommended that you define tables as a column store that will be used for querying large data sets.

Generating partitions is usually the responsibility of the SAP HANA Cloud administrator. There are many decisions to be made relating to partitions including the type of partition. For example, hash, round robin, or range. Partitions can also include sub-partitions. The administrator uses monitoring tools to observe the performance of partitions and makes adjustments. What the modeler will need to do is to provide the information relating to the use of the data - for example, how queries will access the data so that the partitions can be defined optimally.

Reasons for Partitioning a Column Store Table

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