ClickHouse Monitoring: Python Script to Monitor Linux Disk I/O Matrix

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.