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LLDsystem_design~12 mins

Search and filter design in LLD - Architecture Diagram

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System Overview - Search and filter design

This system allows users to search and filter large sets of data quickly and efficiently. It supports keyword searches and multiple filter options to narrow down results, ensuring fast response times even with high user traffic.

Architecture Diagram
User
  |
  v
Load Balancer
  |
  v
API Gateway
  |
  v
Search Service <--> Cache Layer
  |
  v
Search Index (Elasticsearch)
  |
  v
Primary Database
Components
User
client
Initiates search and filter requests
Load Balancer
load_balancer
Distributes incoming requests evenly to API Gateway instances
API Gateway
api_gateway
Handles authentication, routing, and request validation
Search Service
service
Processes search queries and applies filters
Cache Layer
cache
Stores recent search results to reduce latency
Search Index (Elasticsearch)
search_engine
Indexes data for fast full-text search and filtering
Primary Database
database
Stores the authoritative data source for indexing and updates
Request Flow - 11 Hops
User → Load Balancer
Load Balancer → API Gateway
API Gateway → Search Service
Search Service → Cache Layer
Cache Layer → Search Service
Search Service → Search Index (Elasticsearch)
Search Index (Elasticsearch) → Search Service
Search Service → Cache Layer
Search Service → API Gateway
API Gateway → Load Balancer
Load Balancer → User
Failure Scenario
Component Fails:Search Index (Elasticsearch)
Impact:Search queries cannot be processed, resulting in failed or delayed search responses
Mitigation:Use replicated search index clusters with failover; fallback to cached results if available; alert system operators for quick recovery
Architecture Quiz - 3 Questions
Test your understanding
Which component is responsible for distributing incoming user requests evenly?
AAPI Gateway
BLoad Balancer
CSearch Service
DCache Layer
Design Principle
This design uses a layered approach with caching and a dedicated search index to provide fast and scalable search and filtering. It separates concerns by using an API Gateway for routing and validation, and a cache to reduce load on the search engine, improving performance and reliability.