Python script to monitor Linux Disk I/O matrix and save information in ClickHouse
Here is a sample Python script that monitors the disk I/O usage of Linux and saves the information in a ClickHouse database:
import psutil
import mysql.connector
# Connect to the ClickHouse database
cnx = mysql.connector.connect(user='username', password='password', host='hostname', port='port', database='database')
cursor = cnx.cursor()
def monitor_disk_io_usage():
disk_io = psutil.disk_io_counters()
# Get read_count
read_count = disk_io.read_count
# Get write_count
write_count = disk_io.write_count
# Get read_bytes
read_bytes = disk_io.read_bytes
# Get write_bytes
write_bytes = disk_io.write_bytes
# Insert disk I/O usage into ClickHouse database
query = f"INSERT INTO disk_io_usage (read_count, write_count, read_bytes, write_bytes) VALUES ({read_count}, {write_count}, {read_bytes}, {write_bytes})"
cursor.execute(query)
cnx.commit()
while True:
monitor_disk_io_usage()
# Close the cursor and connection
cursor.close()
cnx.close()
This script uses the psutil library to get information about the disk I/O usage and mysql.connector to connect and insert the information in a ClickHouse database. The script runs in an infinite loop, so it continuously monitors the disk I/O usage and saves the information in the database. You can add a sleep function to the loop to make it run periodically.
You will need to replace the <username>, <password>, <hostname>, <port>, <database> with the appropriate values for your ClickHouse setup.
Make sure that you have created the table disk_io_usage in the ClickHouse database before running the script, the table should have 4 columns read_count, write_count, read_bytes, and write_bytes
Also, you can use Grafana to visualize the data in the ClickHouse database to have a better analysis of the disk I/O usage.
