```2023/05/08 09:30:02 Waiting for: <tcp://prerequ...
# all-things-deployment
b
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2023/05/08 09:30:02 Waiting for: <tcp://prerequisites-mysql.datahub-temp:3306>
2023/05/08 09:30:02 Waiting for: tcp://*****-kafka-bootstrap:9092
2023/05/08 09:30:02 Waiting for: http://*****@datahub-elasticsearch-*****:9200
2023/05/08 09:30:02 Waiting for: http:
2023/05/08 09:30:02 Problem with request: Get http:: http: no Host in request URL. Sleeping 1s
2023/05/08 09:30:02 Connected to tcp://*****-kafka-bootstrap:9092
2023/05/08 09:30:02 Received 200 from http://*****@datahub-elasticsearch-*****:9200
2023/05/08 09:30:02 Connected to <tcp://prerequisites-mysql.datahub-temp:3306>
2023/05/08 09:30:03 Problem with request: Get http:: http: no Host in request URL. Sleeping 1s
Based on previous posts, despite using
graph_service_impl: elasticsearch
the gms is somehow still waiting for
neo4j
service to start. Any way to disable this?
📖 1
🔍 1
l
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b
1. v0.10.2 2. Helm Charts 3. logs shared above (
Get http:: http: no Host in request URL.
)
o
This seems like a configuration issue, where are you seeing that it's waiting on Neo4J? Not seeing posts about this nor should it happen, when the graph service implementation is set to ElasticSearch, Neo4J components do not load. The log you posted is coming from GMS? Have you inspected the deployment using
describe
to make sure the ENV looks right?
b
Hey @orange-night-91387, thanks for the response. The log is from GMS and the ENV looks fine. We are deploying the prerequisites components separately, without using the helm that was provided. Should we have mentioned that Neo4J is not required explicitly in the datahub helm? like
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neo4j-community:
  enabled: false
a
Is there a reason you can't utilize the provided charts? With customized charts it could be some missed properties, but yes you should explicitly disable Neo4J if it is starting up in your environment. To confirm on the GMS ENV, you have:
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GRAPH_SERVICE_IMPL=elasticsearch
with this GMS should not do anything with Neo4J.
plus1 1
b
Fixed it. It was a GMS version issue. Pulled the latest from docker and it stopped expecting Neo4J.
Thanks @orange-night-91387 🫠