Neo4j集群容器化部署

# 分别在服务器10.110.10.11, 10.110.10.12, 10.110.10.13执行，并将core_addr替换为对应的IP
export HOME=/disk01/neo4j_cluster
export core_addr=10.110.10.11docker run --name=neo4j-core --detach 
    --network=host 
    --publish=7474:7474 --publish=7687:7687--publish=5000:5000 --publish=6000:6000 --publish=7000:7000--env=NEO4J_dbms_mode=CORE 
    --env=NEO4J_causal__clustering_expected__core__cluster__size=3--env=NEO4J_causal__clustering_initial__discovery__members=10.110.10.11:5000,10.110.10.12:5000,10.110.10.13:5000--env=NEO4J_causal__clustering_discovery__advertised__address=$core_addr:5000--env=NEO4J_causal__clustering_transaction__advertised__address=$core_addr:6000--env=NEO4J_causal__clustering_raft__advertised__address=$core_addr:7000--env=NEO4J_dbms_connectors_default__advertised__address=$core_addr 
    --env=NEO4J_ACCEPT_LICENSE_AGREEMENT=yes 
    --volume=$HOME/data:/data 
    --volume=$HOME/logs:/logs 
    --volume=$HOME/import:/import 
    --volume=$HOME/plugins:/plugins 
    --env=NEO4J_dbms_memory_pagecache_size=4G 
    --restart=always 
    --env=NEO4J_dbms_connector_bolt_enabled=true--env=NEO4J_dbms_connector_bolt_listen__address=:7687--env=NEO4J_metrics_prometheus_enabled=true--env=NEO4J_metrics_prometheus_endpoint=0.0.0.0:2004neo4j:3.4.15-enterprise

# 分别在服务器10.110.10.14, 10.110.10.15, 10.110.10.16执行
docker run --name=read_replica --detach 
    --publish=8474:7474 --publish=8473:7473 --publish=8687:7687--env=NEO4J_dbms_mode=READ_REPLICA 
    --env=NEO4J_causal__clustering_initial__discovery__members=10.110.10.11:5000,10.110.10.12:5000,10.110.10.13:5000--env=NEO4J_ACCEPT_LICENSE_AGREEMENT=yes 
    --restart=always 
    neo4j:3.4.15-enterprise