To handle large datasets, distributed databases introduce strategies like partitioning and bucketing. Data is divided into smaller units based on specific rules and distributed across different nodes, so databases can perform parallel processing for higher performance and data management flexibility. Like in many databases, Apache Doris shards data into partitions, and then a partition is further divided into buckets. Partitions are typically defined by time or other continuous values.
