Running Elasticsearch locally with multiple nodes
mikko.ropanen
Spryker Solution Partner Posts: 31 ✨ - Novice
Hi, we ran into the "inconsistent scoring" issue
in our production environment. While the fix was pretty simple (change search_type to dfs_query_then_fetch), I currently don't have a way of verifying it since production AWS is the only place that uses more than one ES node.Is there a way to run Elasticsearch locally with more than one node?
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0
Best Answer
-
You could try the following approach:
- Stop the project
docker/sdk stop
- Comment out the section in the deploy file
deploy.dev.yml
# search: # engine: elastic # version: '7.10' # endpoints: # localhost:9200: # protocol: tcp
- Add the following environment variables to the section
image: … environment: … SPRYKER_SEARCH_HOST: host.docker.internal SPRYKER_SEARCH_PORT: 9200
host.docker.internal
in the case of using Docker Desktop- [OPTIONAL] The above steps could be performed in the
deploy.local.yml
created based ondeploy.dev.yml
. The former is in.gitignore
- Run the Elastic cluster based on the section
Starting a multi-node cluster with Docker Compose
of the documentation - Boot the project
docker/sdk boot deploy.dev.yml
(ordeploy.local.yml
) - Build and run the project as usually
1 - Stop the project
Answers
-
You could try the following approach:
- Stop the project
docker/sdk stop
- Comment out the section in the deploy file
deploy.dev.yml
# search: # engine: elastic # version: '7.10' # endpoints: # localhost:9200: # protocol: tcp
- Add the following environment variables to the section
image: … environment: … SPRYKER_SEARCH_HOST: host.docker.internal SPRYKER_SEARCH_PORT: 9200
host.docker.internal
in the case of using Docker Desktop- [OPTIONAL] The above steps could be performed in the
deploy.local.yml
created based ondeploy.dev.yml
. The former is in.gitignore
- Run the Elastic cluster based on the section
Starting a multi-node cluster with Docker Compose
of the documentation - Boot the project
docker/sdk boot deploy.dev.yml
(ordeploy.local.yml
) - Build and run the project as usually
1 - Stop the project
-
The above solution works nicely 👍️
If anyone else is not using Docker Desktop and gets fixated on the "host.docker.internal" part like I did:
you can just use "es01" (the name of the first Elasticsearch node)2
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