Partitioning

Partitioning is the process of dividing a large dataset into smaller, more manageable parts called partitions. This technique is commonly used in distributed computing systems to improve performance and scalability. Partitioning can be done in several ways, such as range partitioning, hash partitioning, and list partitioning. Range partitioning involves dividing the data based on a specific range of values, such as dates or alphabetical order. Hash partitioning involves dividing the data based on a hash function, which assigns each record to a specific partition based on its key value. List partitioning involves dividing the data based on a specific list of values, such as geographic regions or product categories. Partitioning can also be used for parallel processing, where each partition is processed independently by a separate processor or node.
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