The conversation between human and AI assistant.
How do big data databases handle the problem of primary key values running out given that the key is not unlimited size?
That's interesting. How do they ensure that there are no duplicate primary keys across the shards?
Good question! To avoid duplicate primary keys, big data databases often use a technique called range partitioning. This involves dividing the primary key range into smaller ranges and assigning each range to a particular shard. This ensures that each shard only has unique primary keys within its assigned range.