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Database Architecture and Partitioning Questions

Design database architecture and partitioning strategies appropriate to workload and access patterns. Evaluate database types including relational and various NoSQL models, schema design and indexing strategies, and when to use a monolithic database versus sharding. Cover sharding approaches such as range based, hash based, consistent hashing, and directory based sharding, as well as replica topologies, read replicas, replication lag, and handling cross shard queries. Address operational concerns at scale: resharding, mitigating hot partitions, balancing data distribution, transactional and consistency guarantees, and the trade offs between availability, consistency, and partition tolerance. Include monitoring, migration strategies, and impact on application logic and joins.

MediumTechnical
0 practiced
Design an approach to minimize cross-shard transactions by rethinking the data model. Given a social feed application with users, posts, and likes distributed across shards by user_id, propose how to move to a model that reduces cross-shard joins while preserving correctness and acceptable latency.
MediumSystem Design
0 practiced
Design partitioning and indexing for a search-index storage layer that must support text search, faceting, and fast lookups of user profile data joined with documents. Compare using a document store (Elasticsearch/Opensearch) with sharded relational stores plus inverted indexes, and recommend a solution.
MediumTechnical
0 practiced
Compare range-based sharding and hash-based sharding. For each, list advantages and disadvantages specifically for workloads requiring range queries, multi-tenant isolation, resharding complexity, and susceptibility to skew.
HardSystem Design
0 practiced
Design a query router that routes application queries to the correct shard, sends read-only queries to replicas, and handles failover and stale replica avoidance. Specify the router's data structures (routing table, cache), failure modes, and strategies for scaling the router itself.
EasyTechnical
0 practiced
Define a hot partition (hotspot) in a sharded system, list common causes (e.g., monotonically increasing keys, tenant skew), and propose three practical mitigation techniques an on-call engineer could deploy quickly.

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