Host

To configure this check for an Agent running on a host:

1. Edit the mapreduce.d/conf.yaml file, in the conf.d/ folder at the root of your Agent’s configuration directory to point to your server and port, set the masters to monitor. See the sample mapreduce.d/conf.yaml for all available configuration options.

2. Restart the Agent.

Log collection

1. Collecting logs is disabled by default in the Datadog Agent, enable it in your datadog.yaml file:

   logs_enabled: true
   

2. Uncomment and edit the logs configuration block in your mapreduce.d/conf.yaml file. Change the type, path, and service parameter values based on your environment. See the sample mapreduce.d/conf.yaml for all available configuration options.

   logs:
     - type: file
       path: <LOG_FILE_PATH>
       source: mapreduce
       service: <SERVICE_NAME>
       # To handle multi line that starts with yyyy-mm-dd use the following pattern
       # log_processing_rules:
       #   - type: multi_line
       #     pattern: \d{4}\-\d{2}\-\d{2} \d{2}:\d{2}:\d{2},\d{3}
       #     name: new_log_start_with_date
   

3. Restart the Agent.

Containerized

For containerized environments, see the Autodiscovery Integration Templates for guidance on applying the parameters below.

Log collection

Collecting logs is disabled by default in the Datadog Agent. To enable it, see the Docker Log Collection.

Then, set log integrations as Docker labels:

LABEL "com.datadoghq.ad.logs"='[{"source": "mapreduce", "service": "<SERVICE_NAME>"}]'