Modbus and MySQL Integration

Input and output integration overview

<p>The Modbus plugin allows you to collect data from Modbus devices using various communication methods, enhancing your ability to monitor and control industrial processes.</p>

<p>The Telegraf SQL plugin allows you to store metrics from Telegraf directly into a MySQL database, making it easier to analyze and visualize the collected metrics.</p>

Integration details

Modbus

<p>The Modbus plugin collects discrete inputs, coils, input registers, and holding registers via Modbus TCP or Modbus RTU/ASCII.</p>

MySQL

<p>Telegraf’s SQL output plugin is designed to seamlessly write metric data to a SQL database by dynamically creating tables and columns based on the incoming metrics. When configured for MySQL, the plugin leverages the go-sql-driver/mysql, which requires enabling the ANSI_QUOTES SQL mode to ensure proper handling of quoted identifiers. This dynamic schema creation approach ensures that each metric is stored in its own table with a structure derived from its fields and tags, providing a detailed, timestamped record of system performance. The flexibility of the plugin allows it to handle high-throughput environments, making it ideal for scenarios that demand robust, granular metric logging and historical data analysis.</p>

Configuration

Modbus

MySQL

Input and output integration examples

Modbus

<ol> <li><strong>Basic Usage</strong>: To read from a single device, configure it with the device name and IP address, specifying the slave ID and registers of interest.</li> <li><strong>Multiple Requests</strong>: You can define multiple requests to fetch data from different Modbus slave devices in a single configuration by specifying multiple <code>[[inputs.modbus.request]]</code> sections.</li> <li><strong>Data Processing</strong>: Utilize the scaling features to convert raw Modbus readings into useful metrics, adjusting for unit conversions as needed.</li> </ol>

MySQL

<ol> <li> <p><strong>Real-Time Web Analytics Storage</strong>: Leverage the plugin to capture website performance metrics and store them in MySQL. This setup enables teams to monitor user interactions, analyze traffic patterns, and dynamically adjust site features based on real-time data insights.</p> </li> <li> <p><strong>IoT Device Monitoring</strong>: Utilize the plugin to collect metrics from a network of IoT sensors and log them into a MySQL database. This use case supports continuous monitoring of device health and performance, allowing for predictive maintenance and immediate response to anomalies.</p> </li> <li> <p><strong>Financial Transaction Logging</strong>: Record high-frequency financial transaction data with precise timestamps. This approach supports robust audit trails, real-time fraud detection, and comprehensive historical analysis for compliance and reporting purposes.</p> </li> <li> <p><strong>Application Performance Benchmarking</strong>: Integrate the plugin with application performance monitoring systems to log metrics into MySQL. This facilitates detailed benchmarking and trend analysis over time, enabling organizations to identify performance bottlenecks and optimize resource allocation effectively.</p> </li> </ol>

Feedback

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