The document discusses NoSQL databases, focusing on single-key operations and their limitations in handling multi-key operations. It highlights the challenges faced by clients in managing multi-key operations, including increased complexity and performance impacts. Solutions such as client-side aggregation and indexing are proposed along with best practices for optimizing key design and alternative NoSQL models.

1. Operations by Sets
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NITHISH GOWDA BR
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2. Introduction to NoSQL Set
Operations
 • NoSQL Basics: Non-relational database, schema-
less design.
 • Key-Value Structure: Stores data as key-value
pairs, focusing on scalability.
 • Limitations: Operations on single key at a time—no
built-in support for multi-key operations.

3. Single-Key Operation Limit in
NoSQL
 • One Key at a Time: NoSQL databases operate on
individual keys.
 • Why Single-Key: Enhances performance and
scalability.
 • Multi-Key Needs: Certain use cases may need to
operate on multiple keys together.

4. Challenges with Multi-Key
Operations
 • Client-Side Responsibility: NoSQL shifts multi-key
operations to the client.
 • Increased Complexity: Client must manage data
aggregation, joins, etc.
 • Performance Impacts: Handling multi-key
operations can reduce speed.

5. Solutions for Multi-Key
Operations
 • Client-Side Aggregation: Combining multiple keys
on the client.
 • Indexing and Filtering: Using secondary indexes to
simulate multi-key operations.
 • Batching and Pipelining: Grouping operations to
minimize client-server interactions.

6. Example and Best Practices
 • Example: Fetch user details from multiple key-value pairs (ID, profile,
settings).
 • Best Practices:
 - Use structured data with careful key design.
 - Consider alternative NoSQL models (document, graph) if multi-key
operations are frequent.
 - Optimize client code for handling multi-key operations efficiently.