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Setup for Docker

Install Docker

If you haven't done that already, install Docker on your machine following the instructions. To make sure Docker is successfully installed on your machine, run a test container as follows:

docker run hello-world

You should see the Hello from Docker! message. Otherwise, check the Docker's Get Started documentation.

Docker for Mac users - RAM allocation issues

By default, Docker for Mac allocates 2 GB of RAM, which is insufficient for deploying MindsDB with Docker. We recommend increasing the default RAM limit to 4 GB. Please refer to the Docker Desktop for Mac users manual for more information on how to increase the allocated memory.

Start MindsDB

Run the command below to start MindsDB in Docker.

docker run -p 47334:47334 -p 47335:47335 mindsdb/mindsdb

Let's analyze this command part by part:

  • docker run is a native Docker command used to start a container
  • -p 47334:47334 publishes port 47334 to access MindsDB GUI and HTTP API
  • -p 47335:47335 publishes port 47335 to access MindsDB MySQL API
  • mindsdb/mindsdb is the container we want to start

Default Configuration

The default configuration for MindsDB's Docker image is stored as a JSON code, as below.

{
 "config_version":"1.4",
 "storage_dir": "/root/mdb_storage",
 "log": { 
     "level": {
         "console": "ERROR",
     "file": "WARNING",
     "db": "WARNING"
          } 
        },
 "debug": false,
 "integrations": {},
 "api":
  {
   "http": {
       "host": "0.0.0.0",
       "port": "47334"
           },
   "mysql": {
       "host": "0.0.0.0",
       "password": "",
       "port": "47335",
       "user": "mindsdb",
       "database": "mindsdb",
       "ssl": true
            },
   "mongodb": {
       "host": "0.0.0.0",
       "port": "47336",
       "database": "mindsdb"
              }
  }
}

Custom Configuration

To override the default configuration, you can provide values via the MDB_CONFIG_CONTENT environment variable, as below.

docker run -e MDB_CONFIG_CONTENT='{"api":{"http": {"host": "0.0.0.0","port": "8080"}}}' mindsdb/mindsdb

Known Issues

#1

If you experience any issues related to MKL or your training process does not complete, please add the MKL_SERVICE_FORCE_INTEL environment variable, as below.

docker run -e MKL_SERVICE_FORCE_INTEL=1 -p 47334:47334 -p 47335:47335 mindsdb/mindsdb

What's next?

We recommend you follow one of our tutorials or learn more about the MindsDB Database.