What are the best practices for data partitioning?
Data partitioning is crucial for optimizing performance. Best practices include choosing the right partition key, ensuring even data distribution, and considering query patterns.
How do I choose the right partition key?
Choose a partition key that evenly distributes data across partitions and aligns with your query patterns to avoid hotspots.
What are the common pitfalls to avoid?
Common pitfalls include selecting a skewed partition key, not monitoring partition sizes, and failing to adjust partitions as data grows.
Can you give examples of good partitioning strategies?
Sure! Common strategies include range partitioning, hash partitioning, and list partitioning, each suited for different use cases.
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