HugeGraph-Store Quick Start
1 HugeGraph-Store Overview
HugeGraph-Store is the storage node component of HugeGraph’s distributed version, responsible for actually storing and managing graph data. It works in conjunction with HugeGraph-PD to form HugeGraph’s distributed storage engine, providing high availability and horizontal scalability.
2 Prerequisites
2.1 Requirements
- Operating System: Linux or macOS (Windows has not been fully tested)
- Java version: ≥ 11
- Maven version: ≥ 3.5.0
- Deploy HugeGraph-PD first for multi-node deployment
3 Deployment
There are two ways to deploy the HugeGraph-Store component:
- Method 1: Download the tar package
- Method 2: Compile from source
3.1 Download the tar package
Download the latest version of HugeGraph-Store from the Apache HugeGraph official download page:
# Replace {version} with the latest version number, e.g., 1.5.0
wget https://downloads.apache.org/hugegraph/{version}/apache-hugegraph-incubating-{version}.tar.gz
tar zxf apache-hugegraph-incubating-{version}.tar.gz
cd apache-hugegraph-incubating-{version}/apache-hugegraph-hstore-incubating-{version}
3.2 Compile from source
# 1. Clone the source code
git clone https://github.com/apache/hugegraph.git
# 2. Build the project
cd hugegraph
mvn clean install -DskipTests=true
# 3. After successful compilation, the Store module build artifacts will be located at
# apache-hugegraph-incubating-{version}/apache-hugegraph-hstore-incubating-{version}
# target/apache-hugegraph-incubating-{version}.tar.gz
3.3 Docker Deployment
The HugeGraph-Store Docker image is available on Docker Hub as hugegraph/store.
Note: The following steps assume you have already cloned or pulled the HugeGraph main repository locally, or at least have its
docker/directory available.
Use the compose file to deploy the complete 3-node cluster (PD + Store + Server):
cd hugegraph/docker
# Keep the version aligned with the latest release, for example 1.x.0
HUGEGRAPH_VERSION=1.7.0 docker compose -f docker-compose-3pd-3store-3server.yml up -d
To run a single Store node via docker run:
docker run -d \
-p 8520:8520 \
-p 8500:8500 \
-p 8510:8510 \
-e HG_STORE_PD_ADDRESS=<pd-ip>:8686 \
-e HG_STORE_GRPC_HOST=<your-ip> \
-e HG_STORE_RAFT_ADDRESS=<your-ip>:8510 \
-v /path/to/storage:/hugegraph-store/storage \
--name hugegraph-store \
hugegraph/store:1.7.0
Environment variable reference:
| Variable | Required | Default | Description |
|---|---|---|---|
HG_STORE_PD_ADDRESS | Yes | — | PD gRPC addresses (e.g. pd0:8686,pd1:8686,pd2:8686) |
HG_STORE_GRPC_HOST | Yes | — | This node’s hostname/IP for gRPC (e.g. store0) |
HG_STORE_RAFT_ADDRESS | Yes | — | This node’s Raft address (e.g. store0:8510) |
HG_STORE_GRPC_PORT | No | 8500 | gRPC server port |
HG_STORE_REST_PORT | No | 8520 | REST API port |
HG_STORE_DATA_PATH | No | /hugegraph-store/storage | Data storage path |
Note: In Docker bridge networking, use container hostnames (e.g.
store0) forHG_STORE_GRPC_HOSTinstead of IP addresses.
Deprecated aliases:
PD_ADDRESS,GRPC_HOST,RAFT_ADDRESSstill work but log a deprecation warning. Use theHG_STORE_*names for new deployments.
4 Configuration
The main configuration file for Store is conf/application.yml. Here are the key configuration items:
pdserver:
# PD service address, multiple PD addresses are separated by commas (configure PD's gRPC port)
address: 127.0.0.1:8686
grpc:
# gRPC service address
host: 127.0.0.1
port: 8500
netty-server:
max-inbound-message-size: 1000MB
raft:
# raft cache queue size
disruptorBufferSize: 1024
address: 127.0.0.1:8510
max-log-file-size: 600000000000
# Snapshot generation time interval, in seconds
snapshotInterval: 1800
server:
# REST service address
port: 8520
app:
# Storage path, supports multiple paths separated by commas
data-path: ./storage
#raft-path: ./storage
spring:
application:
name: store-node-grpc-server
profiles:
active: default
include: pd
logging:
config: 'file:./conf/log4j2.xml'
level:
root: info
For multi-node deployment, you need to modify the following configurations for each Store node:
grpc.port(RPC port) for each noderaft.address(Raft protocol port) for each nodeserver.port(REST port) for each nodeapp.data-path(data storage path) for each node
5 Start and Stop
5.1 Start Store
Ensure that the PD service is already started, then in the Store installation directory, execute:
./bin/start-hugegraph-store.sh
After successful startup, you can see logs similar to the following in logs/hugegraph-store-server.log:
YYYY-mm-dd xx:xx:xx [main] [INFO] o.a.h.s.n.StoreNodeApplication - Started StoreNodeApplication in x.xxx seconds (JVM running for x.xxx)
5.2 Stop Store
In the Store installation directory, execute:
./bin/stop-hugegraph-store.sh
6 Multi-Node Deployment Example
Below is a configuration example for a three-node deployment:
6.1 Three-Node Configuration Reference
- 3 PD nodes
- raft ports: 8610, 8611, 8612
- rpc ports: 8686, 8687, 8688
- rest ports: 8620, 8621, 8622
- 3 Store nodes
- raft ports: 8510, 8511, 8512
- rpc ports: 8500, 8501, 8502
- rest ports: 8520, 8521, 8522
6.2 Store Node Configuration
For the three Store nodes, the main configuration differences are as follows:
Node A:
grpc:
port: 8500
raft:
address: 127.0.0.1:8510
server:
port: 8520
app:
data-path: ./storage-a
Node B:
grpc:
port: 8501
raft:
address: 127.0.0.1:8511
server:
port: 8521
app:
data-path: ./storage-b
Node C:
grpc:
port: 8502
raft:
address: 127.0.0.1:8512
server:
port: 8522
app:
data-path: ./storage-c
All nodes should point to the same PD cluster:
pdserver:
address: 127.0.0.1:8686,127.0.0.1:8687,127.0.0.1:8688
6.3 Docker Distributed Cluster Configuration
The distributed Store cluster definition is included in docker/docker-compose-3pd-3store-3server.yml. Each Store node gets its own hostname and environment variables:
# store0
HG_STORE_PD_ADDRESS: pd0:8686,pd1:8686,pd2:8686
HG_STORE_GRPC_HOST: store0
HG_STORE_GRPC_PORT: "8500"
HG_STORE_REST_PORT: "8520"
HG_STORE_RAFT_ADDRESS: store0:8510
HG_STORE_DATA_PATH: /hugegraph-store/storage
# store1
HG_STORE_PD_ADDRESS: pd0:8686,pd1:8686,pd2:8686
HG_STORE_GRPC_HOST: store1
HG_STORE_RAFT_ADDRESS: store1:8510
# store2
HG_STORE_PD_ADDRESS: pd0:8686,pd1:8686,pd2:8686
HG_STORE_GRPC_HOST: store2
HG_STORE_RAFT_ADDRESS: store2:8510
Store nodes start only after all PD nodes pass healthchecks (/v1/health), enforced via depends_on: condition: service_healthy.
To view runtime logs for a running Store container use docker logs <container-name> (e.g. docker logs hg-store0).
See docker/README.md for the full setup guide.
7 Verify Store Service
Confirm that the Store service is running properly:
curl http://localhost:8520/actuator/health
If it returns {"status":"UP"}, it indicates that the Store service has been successfully started.
Additionally, you can check the status of Store nodes in the cluster through the PD API:
curl http://localhost:8620/v1/stores
If Store is configured successfully, the response should include status information for the current node, and state: "Up" means the node is running normally.
The example below shows a single Store node. If all three nodes are configured correctly and running, the storeId list should contain three IDs, and stateCountMap.Up, numOfService, and numOfNormalService should all be 3.
{
"message": "OK",
"data": {
"stores": [
{
"storeId": 8319292642220586694,
"address": "127.0.0.1:8500",
"raftAddress": "127.0.0.1:8510",
"version": "",
"state": "Up",
"deployPath": "/Users/{your_user_name}/hugegraph/apache-hugegraph-incubating-1.5.0/apache-hugegraph-store-incubating-1.5.0/lib/hg-store-node-1.5.0.jar",
"dataPath": "./storage",
"startTimeStamp": 1754027127969,
"registedTimeStamp": 1754027127969,
"lastHeartBeat": 1754027909444,
"capacity": 494384795648,
"available": 346535829504,
"partitionCount": 0,
"graphSize": 0,
"keyCount": 0,
"leaderCount": 0,
"serviceName": "127.0.0.1:8500-store",
"serviceVersion": "",
"serviceCreatedTimeStamp": 1754027127000,
"partitions": []
}
],
"stateCountMap": {
"Up": 1
},
"numOfService": 1,
"numOfNormalService": 1
},
"status": 0
}