File Formats
Input
Refer to the following table to learn about the format of an input CSV file.
disk_61873 |
19.11 |
20.71 |
0 |
17.89 |
0 |
0 |
10.16 |
... (121 columns by default) |
|---|---|---|---|---|---|---|---|---|
disk_143014 |
15.14 |
8.12 |
0 |
8.21 |
6.27 |
0 |
0 |
... |
disk_26149 |
23.16 |
0 |
9.65 |
7.16 |
7.86 |
0 |
0 |
... |
disk_33028 |
17.07 |
0 |
8.17 |
0 |
0 |
15.33 |
38.94 |
... |
... (The number of rows is the number of drives.) |
... |
... |
... |
... |
... |
... |
... |
...... |
- The first value in each raw is a character string, indicating the serial number or ID that uniquely identifies a drive. The following 120 values are latency data (in ms) at 120 collection points. The interval between each point is 5s.
- The total number of collection points default to 120 and can be adjusted through the detect_points parameter.
Example:
When the interface is invoked as follows, you need to input a data file with 101 columns. The first value in each raw is the serial number or ID of a drive, and the subsequent 100 columns are drive latency data (in ms) at 100 collection points. The collection interval is 5s.
param = {'detect_points': 100} slow_detect(r'slow_test.data', r'result.data', param)
Output
The output file is saved in result_path. The file format is as follows:
result: 2 ldid: disk_61873 ldid: disk_143014
Parent topic: Slow HDD Detection