Comprehensive Mermaid diagrams to illustrate Greenplum's architecture, hardware high availability, data flow, and other key components.I've created comprehensive Mermaid diagrams that illustrate all the key aspects of Greenplum's architecture:
1. System Architecture Overview
Shows the complete system topology including client connections, master-standby configuration, segment clusters, mirror segments, and external data source integration.
System Architecture Overview
2. Hardware High Availability Architecture
Depicts the physical deployment across two data centers with detailed hardware specifications, including compute racks, storage SANs, and network infrastructure with redundant connectivity.
Hardware High Availability Architecture
3. End-to-End Data Flow Sequence
Illustrates the complete query processing lifecycle from client submission through parsing, optimization, distributed execution, inter-segment communication, and result collection.
End-to-End Data Flow Sequence
4. Data Distribution and Partitioning Strategy
Visualizes the three distribution methods (hash, random, replicated) and partitioning strategies (range, list, multi-level) showing how data is organized across segments.
Data Distribution and Partitioning Strategy
5. Query Processing and Optimization Flow
Details the query optimization pipeline including parsing, semantic analysis, cost-based optimization, distributed plan generation, and execution with key optimization features.
Query Processing and Optimization Flow
6. Failure Recovery and Failover Process
State diagram showing the complete failure detection and recovery workflows for segment failures, master failures, network partitions, and system degradation scenarios.
Failure Recovery and Failover Process
These diagrams provide a visual representation of:
- Scalability: How components scale horizontally across nodes
- Fault Tolerance: Mirror segments and standby masters for high availability
- Performance: Parallel processing and optimized data distribution
- Integration: External data sources and client connectivity
- Operations: Query flow, recovery processes, and system management
The diagrams show how Greenplum achieves its key design goals of massive parallel processing, high availability, and seamless PostgreSQL integration while handling petabyte-scale analytical workloads across commodity hardware clusters.
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