Using InfluxDB Database in a Docker Container to Connect with Javascript and NodeJS for Reading and Writing Data

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InfluxDB Database in Docker Container

InfluxDB Database in Docker Container

InfluxDB is a powerful time-series database that is often used for monitoring and analytics. In this article, we will explore how to run InfluxDB in a Docker container and connect to it using JavaScript and NodeJS to read and write data.

Running InfluxDB in Docker Container

To run InfluxDB in a Docker container, you can use the following command:

docker run -d -p 8086:8086 
  -v $PWD:/var/lib/influxdb 
  --name influxdb 
  influxdb

This command will start an InfluxDB container and map port 8086 on the host to port 8086 on the container. It will also create a volume for the data so that it persists even if the container is stopped and started again.

Connecting with JavaScript and NodeJS

Once InfluxDB is running in a Docker container, you can connect to it using JavaScript and NodeJS to read and write data. First, you will need to install the influx package using npm:

npm install influx

After installing the package, you can use the following code to connect to InfluxDB and write data:

const Influx = require('influx');

const client = new Influx.InfluxDB({
  host: 'localhost',
  database: 'mydb',
  schema: [
    {
      measurement: 'my_measurement',
      fields: {
        value: Influx.FieldType.INTEGER
      },
      tags: [
        'my_tag'
      ]
    }
  ]
});

client.writePoints([
  {
    measurement: 'my_measurement',
    tags: { my_tag: 'my_value' },
    fields: { value: 10 }
  }
]);

This code creates a new InfluxDB client and writes a data point to the mydb database. You can also use similar code to read data from InfluxDB using the query() method.

Conclusion

InfluxDB is a powerful database for storing and querying time-series data. By running InfluxDB in a Docker container and connecting to it using JavaScript and NodeJS, you can easily read and write data to the database from your applications. This makes it a great choice for monitoring and analytics use cases.

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@mustafabilalkhan2668
10 months ago

Great tutorial, Was able to get things done quickly and efficiently. Very understandable. Thank you.

@user-yk6pu1qt4c
10 months ago

You said Environmental Variables at 5:52 🙂

@karenvasquez774
10 months ago

Thanks! It was very well explained