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HugeGraph-PD Quick Start

1 HugeGraph-PD Overview

HugeGraph-PD (Placement Driver) is the metadata management component of HugeGraph’s distributed version, responsible for managing the distribution of graph data and coordinating storage nodes. It plays a central role in distributed HugeGraph, maintaining cluster status and coordinating HugeGraph-Store storage nodes.

2 Prerequisites

2.1 Requirements

Operating System: Linux or macOS (Windows has not been fully tested)
Java version: ≥ 11
Maven version: ≥ 3.5.0

3 Deployment

There are two ways to deploy the HugeGraph-PD component:

Method 1: Download the tar package
Method 2: Compile from source

3.1 Download the tar package

Download the latest version of HugeGraph-PD from the Apache HugeGraph official download page:

# 1.7.0 is a historical release from the incubation period, so its file and directory names still include "incubating"
wget https://downloads.apache.org/hugegraph/1.7.0/apache-hugegraph-incubating-1.7.0.tar.gz
tar zxf apache-hugegraph-incubating-1.7.0.tar.gz
cd apache-hugegraph-incubating-1.7.0/apache-hugegraph-pd-incubating-1.7.0

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 a successful build, the PD directory and complete distribution package are located at
#    hugegraph-pd/apache-hugegraph-pd-{version}
#    target/apache-hugegraph-{version}.tar.gz

3.3 Docker Deployment

The HugeGraph-PD Docker image is available on Docker Hub as hugegraph/pd.

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 docker compose setup 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 PD node via docker run, configuration is provided via environment variables:

docker run -d \
  -p 8620:8620 \
  -p 8686:8686 \
  -p 8610:8610 \
  -e HG_PD_GRPC_HOST=<your-ip> \
  -e HG_PD_RAFT_ADDRESS=<your-ip>:8610 \
  -e HG_PD_RAFT_PEERS_LIST=<your-ip>:8610 \
  -e HG_PD_INITIAL_STORE_LIST=<store-ip>:8500 \
  -v /path/to/data:/hugegraph-pd/pd_data \
  --name hugegraph-pd \
  hugegraph/pd:1.7.0

Environment variable reference:

Variable	Required	Default	Description
`HG_PD_GRPC_HOST`	Yes	—	This node’s hostname/IP for gRPC (e.g. `pd0` in Docker, `192.168.1.10` on bare metal)
`HG_PD_RAFT_ADDRESS`	Yes	—	This node’s Raft address (e.g. `pd0:8610`)
`HG_PD_RAFT_PEERS_LIST`	Yes	—	All PD peers (e.g. `pd0:8610,pd1:8610,pd2:8610`)
`HG_PD_INITIAL_STORE_LIST`	Yes	—	Expected store gRPC addresses (e.g. `store0:8500,store1:8500,store2:8500`)
`HG_PD_GRPC_PORT`	No	`8686`	gRPC server port
`HG_PD_REST_PORT`	No	`8620`	REST API port
`HG_PD_DATA_PATH`	No	`/hugegraph-pd/pd_data`	Metadata storage path
`HG_PD_INITIAL_STORE_COUNT`	No	`1`	Minimum stores required for cluster availability

Note: In Docker bridge networking, use container hostnames (e.g. pd0) for HG_PD_GRPC_HOST and HG_PD_RAFT_ADDRESS instead of IP addresses.

Deprecated aliases: GRPC_HOST, RAFT_ADDRESS, RAFT_PEERS, PD_INITIAL_STORE_LIST still work but log a deprecation warning. Use the HG_PD_* names for new deployments.

To view runtime logs for a running PD container use docker logs <container-name> (e.g. docker logs hg-pd0).

See docker/README.md for the full cluster setup guide.

4 Configuration

The main configuration file for PD is conf/application.yml. Here are the key configuration items:

spring:
  application:
    name: hugegraph-pd

grpc:
  # gRPC port for cluster mode
  port: 8686
  host: 127.0.0.1

server:
  # REST service port
  port: 8620

pd:
  # Storage path
  data-path: ./pd_data
  # Auto-expansion check cycle (seconds)
  patrol-interval: 1800
  # Minimum number of Store nodes required for cluster availability
  initial-store-count: 1
  # Store configuration information, format is IP:gRPC port
  initial-store-list: 127.0.0.1:8500

raft:
  # Cluster mode
  address: 127.0.0.1:8610
  # Raft addresses of all PD nodes in the cluster
  peers-list: 127.0.0.1:8610

store:
  # Store offline time (seconds). After this time, the store is considered permanently unavailable
  max-down-time: 172800
  # Whether to enable store monitoring data storage
  monitor_data_enabled: true
  # Monitoring data interval
  monitor_data_interval: 1 minute
  # Monitoring data retention time
  monitor_data_retention: 1 day
  initial-store-count: 1

partition:
  # Default number of replicas per partition
  default-shard-count: 1
  # Default maximum number of replicas per machine
  store-max-shard-count: 12

For multi-node deployment, you need to modify the port and address configurations for each node to ensure proper communication between nodes.

5 Start and Stop

5.1 Start PD

In the PD installation directory, execute:

./bin/start-hugegraph-pd.sh

The startup script supports a -d flag to control daemon mode:

-d true (default): run as a background daemon; the script returns immediately.
-d false: run in foreground — the script execs Java, so the container/supervisor process IS Java. Use this when running under Docker or a process supervisor (systemd, supervisord) so crashes are detected and the service is restarted automatically.

After successful startup, you can see logs similar to the following in logs/hugegraph-pd-stdout.log:

YYYY-mm-dd xx:xx:xx [main] [INFO] o.a.h.p.b.HugePDServer - Started HugePDServer in x.xxx seconds (JVM running for x.xxx)

5.2 Stop PD

In the PD installation directory, execute:

./bin/stop-hugegraph-pd.sh

6 Verification

Confirm that the PD service is running properly:

curl http://localhost:8620/actuator/health

If it returns {"status":"UP"}, it indicates that the PD service has been successfully started.

You can also verify Store node status through the PD API:

curl http://localhost:8620/v1/stores

If the response shows state as Up, the corresponding Store node is running normally. The example below shows a single Store node. In a healthy 3-node deployment, 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
}