Hot partitions
On This Lesson 4 topics
This lesson is planned. The outline below lists the topics it will cover. The full lesson has not been published yet.
In this lesson
predict and measure skew.
Planned topics
- Skew arises from big customers, time-based keys (all writes to the newest range), and promotions.
- Measure distribution from real data before choosing; estimate the top key's share.
- Mitigations: composite keys, salting, hashing, splitting large tenants, caching.
- Include hot-partition headroom in the capacity plan.
Draft outline details
Demonstration
a histogram description: top 1% of customers produce 30% of orders; the hot shard needs 3× the average capacity.
Check your understanding
Why is a timestamp a poor shard key for writes?
Show answer
All new writes hit the latest partition.
Practice
Apply this lesson with the module's lab, exercises and quiz.
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