Glossary

Partitioning

Partitioning is the process of dividing a large table into smaller, more manageable sections. This is done to improve performance by reducing the amount of data that needs to be processed.

Partitioning is typically done based on a specific column or set of columns in the table. For example, a table of customer data might be partitioned based on the state in which the customer lives. This would create smaller partitions, each containing only the data for customers in a specific state.

Partitioning can improve performance in several ways. First, it allows queries to be run on smaller sections of the table, which can be much faster than running the same query on the entire table. Second, it can reduce the amount of disk space required to store the table, since each partition can be stored more efficiently. Finally, partitioning can make it easier to manage the table, since each partition can be backed up, restored, or modified independently of the others.

There are several types of partitioning, including range partitioning, hash partitioning, and list partitioning. Range partitioning divides the table based on a range of values in the partitioning column(s), while hash partitioning uses a hash function to distribute the data evenly across the partitions. List partitioning, on the other hand, divides the table based on a specific list of values in the partitioning column(s).

Overall, partitioning is a powerful tool for improving performance and manageability of large tables. By dividing the table into smaller, more manageable sections, queries can be run faster and the table can be managed more efficiently.

A wide array of use-cases

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