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Azure Cosmos DB partition keys, consistency levels, change feed, SDK patterns
Passed 20 of 23 test cases with the skill, and 20 of 23 without it.
0 fixed20 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
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Choose partition key wisely, design for your access patterns, understand consistency tradeoffs.
Cosmos DB distributes data across partitions. Your partition key choice determines scalability, performance, and cost. Design for even distribution and query efficiency.
| API | Use Case |
|---|---|
| NoSQL (Core) | Document database, most flexible |
| MongoDB | MongoDB wire protocol compatible |
| PostgreSQL | Distributed PostgreSQL (Citus) |
| Apache Cassandra | Wide-column store |
| Apache Gremlin | Graph database |
| Table | Key-value (Azure Table Storage compatible) |
This skill focuses on NoSQL (Core) API - the most common choice.
| Concept | Description |
|---|---|
| Container | Collection of items (like a table) |
| Item | Single document/record (JSON) |
| Partition Key | Determines data distribution |
| Logical Partition | Items with same partition key |
| Physical Partition | Storage unit (max 50GB, 10K RU/s) |
| RU (Request Unit) | Throughput currency |
test cases passed, vs 20 / 23 without
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