example-claude-desktop-session.md•3.4 kB
# EdgeLake Database Query Session Summary
## Session Overview
Date: October 16, 2025
Database: EdgeLake via MCP Server
---
## 1. Database Discovery
### Available Databases
- **Database Name:** `new_company`
- **Total Databases:** 1
### Available Tables
- **Table Name:** `rand_data`
- **Database:** `new_company`
- **Total Tables:** 1
### Table Schema: `rand_data`
| Column Name | Data Type |
|------------|-----------|
| row_id | integer |
| insert_timestamp | timestamp without time zone |
| tsd_name | char(3) |
| tsd_id | int |
| timestamp | timestamp without time zone |
| value | decimal |
---
## 2. Initial Data Sample
Retrieved 10 sample rows from the `rand_data` table:
**Sample Data Points:**
- Timestamps: October 14, 2025 (15:47:16 - 15:47:22)
- Sensor IDs (tsd_name): "236", "69"
- Values: Range from 2.153 to 660.324
- All records have tsd_id = 2
**Query Statistics:**
- Rows Retrieved: 10
- Query Time: <1 second
- Nodes: 2
---
## 3. Statistical Analysis
### Overall Average Sensor Value
```sql
SELECT AVG(value) as average_value
FROM rand_data
```
**Result:** 251.13
---
### Average Values Grouped by Sensor (tsd_name)
```sql
SELECT tsd_name, AVG(value) as average_value, COUNT(*) as count
FROM rand_data
GROUP BY tsd_name
ORDER BY average_value DESC
```
**Results:**
| Sensor (tsd_name) | Average Value | Record Count |
|-------------------|---------------|--------------|
| 0 | 251.14 | 297,145 |
| 236 | 249.79 | 954 |
| 69 | 249.09 | 953 |
**Key Insights:**
- All three sensors have similar average values (~249-251)
- Sensor "0" has significantly more data points (297K records)
- Sensors "236" and "69" have approximately equal amounts of data (~950 records each)
- The overall average is heavily influenced by sensor "0" due to its large sample size
---
## 4. Time Series Data Visualization
### Sensor 236 Time Series Analysis
**Query Details:**
```sql
SELECT timestamp, value
FROM rand_data
WHERE tsd_name = '236'
ORDER BY timestamp ASC
LIMIT 1000
```
**Results:**
- Total Records: 954
- Time Range: October 14, 2025 (15:47:16) to October 16, 2025 (13:04:23)
- Duration: Approximately 1.9 days
- Value Range: 0.147 to 955.856
**Data Characteristics:**
- Highly variable sensor readings
- Random distribution pattern
- Values span nearly the full range (0-1000)
- Consistent data collection intervals (~6 seconds between readings)
**Chart Created:**
- Interactive line chart showing sensor 236 values over time
- Visualization includes all 954 data points
- Time series shows the temporal pattern of sensor readings
---
## Summary
This session explored a time-series dataset containing sensor readings from three different sensors. The data shows consistent collection patterns with sensors recording values at regular intervals. Sensor "0" dominates the dataset with 297K records, while sensors "236" and "69" have approximately 1,000 records each. The average values across all sensors are remarkably similar (around 250), suggesting consistent measurement conditions or normalized data collection.
The time series visualization for sensor 236 reveals high variability in readings, with values fluctuating significantly across the measurement period, which could indicate either natural environmental variations or the random nature of the test data.