Here are the configuration options, set to the default values, for this service. If you are unsure about where this goes or what this means we highly recommend scanning the services documentation to get a good handle on how the magicks work.
services: myservice: type: elasticsearch:6 portforward: false mem: 1025m plugins:  config: server: SEE BELOW
portforward will allow you to access this service externally by assigning a port directly on your host's
localhost. Note that
portforward can be set to either
true or a specific
port but we highly recommend you set it to
true unless you have pretty good knowledge of how port assignment works or you have a very compelling reason for needing a locked down port.
portforward: true will prevent inevitable port collisions and provide greater reliability and stability across Lando apps. That said, one downside of
portforward: true is that Docker will assign a different port every time you restart your application. You can read more about accessing services externally over here.
services: myservice: type: elasticsearch portforward: true
services: myservice: type: elasticsearch portforward: 9200
Using a custom elasticsearch.yml
You may need to override the default config with your own elasticsearch config file. Note that according to the underlying upstream image this will completely replace the default config. Further note that by default our elasticsearch services start as
data nodes. If you want to activate your node to also be an
ingest node then check out this example.
If you do this, you must use a file that exists inside your application and express it relative to your project root as shown below:
A hypothetical project
Note that you can put your configuration files anywhere inside your application directory. We use a
config directory in the below example but you can call it whatever you want such as
./ |-- config |-- elasticsearch.yml |-- .lando.yml
Landofile's elastic config
services: myservice: type: elasticsearch config: server: config/elasticsearch.yml
Adding Kibana for Elasticsearch
If you want to add a Kibana service for your Elasticsearch, you can easily use a custom compose service. The version of Kibana should match your version of Elasticsearch!
services: kibana: type: compose services: image: bitnami/kibana:6.8.23 command: '/opt/bitnami/scripts/kibana/entrypoint.sh /opt/bitnami/scripts/kibana/run.sh'