Design schemas and queries for time-series data
Handle time-series data for: Data Type: [METRICS/EVENTS/IOT/FINANCIAL] Database: [PostgreSQL/TimescaleDB/InfluxDB/MongoDB] Data Characteristics: - Write rate: [POINTS/SECOND] - Retention: [HOW LONG TO KEEP] - Query patterns: [AGGREGATIONS/RAW ACCESS] Requirements: - Downsampling: [YES/NO] - Real-time queries: [YES/NO] - Historical analysis: [YES/NO] Please provide: 1. Schema design for time-series 2. Partitioning/chunking strategy 3. Efficient insert patterns 4. Common query patterns with examples 5. Data retention and cleanup 6. Aggregation and downsampling
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[HOW LONG TO KEEP]