Particionats

Particionats, also known as partitioned tables, are a database feature that divides large tables into smaller, more manageable pieces called partitions. This division is typically based on a specific column, often a date or a range of values. The primary purpose of partitioning is to improve query performance and simplify data management. When a query targets a specific partition, the database only needs to scan that partition instead of the entire large table, leading to faster retrieval of data. This is particularly beneficial for analytical queries that often involve filtering large datasets.

Beyond performance, partitioning aids in data lifecycle management. For example, older data can be moved to slower, less expensive storage, or archived, without impacting the performance of the active data. Dropping or merging partitions is also significantly faster and more efficient than performing the same operations on a single, monolithic table. Common partitioning strategies include range partitioning, list partitioning, and hash partitioning, each suited for different data distribution patterns and query requirements. Implementing partitioning requires careful consideration of the partitioning key, the number of partitions, and the partitioning scheme to ensure optimal benefits.