HugeGraph-Server Quick Start

1 HugeGraph-Server Overview

HugeGraph-Server is the core part of the HugeGraph Project, contains submodules such as Core, Backend, API.

The Core Module is an implementation of the Tinkerpop interface; The Backend module is used to save the graph data to the data store, currently supported backends include: Memory, Cassandra, ScyllaDB, RocksDB; The API Module provides HTTP Server, which converts Client’s HTTP request into a call to Core Module.

There will be two spellings HugeGraph-Server and HugeGraphServer in the document, and other modules are similar. There is no big difference in the meaning of these two ways, which can be distinguished as follows: HugeGraph-Server represents the code of server-related components, HugeGraphServer represents the service process.

2 Dependency for Building/Running

2.1 Install Java 11 (JDK 11)

Consider using Java 11 to run HugeGraph-Server (compatible with Java 8 before 1.5.0), and configure by yourself.

Be sure to execute the java -version command to check the jdk version before reading

Note: Using Java8 will lose some security guarantees, we recommend using Java11 in production or

environments exposed to the public network and enable Auth authentication.

3 Deploy

There are four ways to deploy HugeGraph-Server components:

• Method 1: Use Docker container (Convenient for Test/Dev)
• Method 2: Download the binary tarball
• Method 3: Source code compilation
• Method 4: One-click deployment

3.1 Use Docker container (Convenient for Test/Dev)

You can refer to Docker deployment guide.

We can use docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph to quickly start an inner HugeGraph server with RocksDB in background.

Optional:

1. use docker exec -it graph bash to enter the container to do some operations.
2. use docker run -itd --name=graph -p 8080:8080 -e PRELOAD="true" hugegraph/hugegraph to start with a built-in example graph. We can use RESTful API to verify the result. The detailed step can refer to 5.1.7
3. use -e PASSWORD=123456 to enable auth mode and set the passoword for admin. You cna find more details from Config Authentication

If you use docker desktop, you can set the option like:

Also, if we want to manage the other Hugegraph related instances in one file, we can use docker-compose to deploy, with the command docker-compose up -d (you can config only server). Here is an example docker-compose.yml:

version: '3'
services:
  server:
    image: hugegraph/hugegraph
    container_name: server
    # environment:
    #  - PRELOAD=true
    # PRELOAD is a option to preload a build-in sample graph when initializing.
    # - PASSWORD=123456
    # PASSWORD is an option to enable auth mode with the password you set.
    ports:
      - 8080:8080

Note:

1. The docker image of hugegraph is a convenience release to start hugegraph quickly, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.

2. Recommand to use release tag(like 1.3.0) for the stable version. Use latest tag to experience the newest functions in development.

3.2 Download the binary tar tarball

You could download the binary tarball from the download page of ASF site like this:

# use the latest version, here is 1.3.0 for example
wget https://downloads.apache.org/incubator/hugegraph/{version}/apache-hugegraph-incubating-{version}.tar.gz
tar zxf *hugegraph*.tar.gz

# (Optional) verify the integrity with SHA512 (recommended)
shasum -a 512 apache-hugegraph-incubating-{version}.tar.gz
curl https://downloads.apache.org/incubator/hugegraph/{version}/apache-hugegraph-incubating-{version}.tar.gz.sha512

3.3 Source code compilation

Please ensure that the wget command is installed before compiling the source code

We could get HugeGraph source code by 2 ways: (So as the other HugeGraph repos/modules)

• download the stable/release version from the ASF site
• clone the unstable/latest version by GitBox(ASF) or GitHub

# Way 1. download release package from the ASF site
wget https://downloads.apache.org/incubator/hugegraph/{version}/apache-hugegraph-incubating-src-{version}.tar.gz
tar zxf *hugegraph*.tar.gz

# (Optional) verify the integrity with SHA512 (recommended)
shasum -a 512 apache-hugegraph-incubating-src-{version}.tar.gz
curl https://downloads.apache.org/incubator/hugegraph/{version}/apache-hugegraph-incubating-{version}-src.tar.gz.sha512

# Way2 : clone the latest code by git way (e.g GitHub)
git clone https://github.com/apache/hugegraph.git

Compile and generate tarball

cd *hugegraph
# (Optional) use "-P stage" param if you build failed with the latest code(during pre-release period)
mvn package -DskipTests -ntp

The execution log is as follows:

......
[INFO] Reactor Summary for hugegraph 1.3.0:
[INFO] 
[INFO] hugegraph .......................................... SUCCESS [  2.405 s]
[INFO] hugegraph-core ..................................... SUCCESS [ 13.405 s]
[INFO] hugegraph-api ...................................... SUCCESS [ 25.943 s]
[INFO] hugegraph-cassandra ................................ SUCCESS [ 54.270 s]
[INFO] hugegraph-scylladb ................................. SUCCESS [  1.032 s]
[INFO] hugegraph-rocksdb .................................. SUCCESS [ 34.752 s]
[INFO] hugegraph-mysql .................................... SUCCESS [  1.778 s]
[INFO] hugegraph-palo ..................................... SUCCESS [  1.070 s]
[INFO] hugegraph-hbase .................................... SUCCESS [ 32.124 s]
[INFO] hugegraph-postgresql ............................... SUCCESS [  1.823 s]
[INFO] hugegraph-dist ..................................... SUCCESS [ 17.426 s]
[INFO] hugegraph-example .................................. SUCCESS [  1.941 s]
[INFO] hugegraph-test ..................................... SUCCESS [01:01 min]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
......

After successful execution, *hugegraph-*.tar.gz files will be generated in the hugegraph directory, which is the tarball generated by compilation.

3.4 One-click deployment

HugeGraph-Tools provides a command-line tool for one-click deployment, users can use this tool to quickly download, decompress, configure and start HugeGraphServer and HugeGraph-Hubble with one click.

Of course, you should download the tarball of HugeGraph-Toolchain first.

# download toolchain binary package, it includes loader + tool + hubble
# please check the latest version (e.g. here is 1.3.0)
wget https://downloads.apache.org/incubator/hugegraph/1.3.0/apache-hugegraph-toolchain-incubating-1.3.0.tar.gz
tar zxf *hugegraph-*.tar.gz

# enter the tool's package
cd *hugegraph*/*tool* 

note: ${version} is the version, The latest version can refer to Download Page, or click the link to download directly from the Download page

The general entry script for HugeGraph-Tools is bin/hugegraph, Users can use the help command to view its usage, here only the commands for one-click deployment are introduced.

bin/hugegraph deploy -v {hugegraph-version} -p {install-path} [-u {download-path-prefix}]

{hugegraph-version} indicates the version of HugeGraphServer and HugeGraphStudio to be deployed, users can view the conf/version-mapping.yaml file for version information, {install-path} specify the installation directory of HugeGraphServer and HugeGraphStudio, {download-path-prefix} optional, specify the download address of HugeGraphServer and HugeGraphStudio tarball, use default download URL if not provided, for example, to start HugeGraph-Server and HugeGraphStudio version 0.6, write the above command as bin/hugegraph deploy -v 0.6 -p services.

4 Config

If you need to quickly start HugeGraph just for testing, then you only need to modify a few configuration items (see next section). for detailed configuration introduction, please refer to configuration document and introduction to configuration items

5 Startup

5.1 Use a startup script to startup

The startup is divided into “first startup” and “non-first startup.” This distinction is because the back-end database needs to be initialized before the first startup, and then the service is started. after the service is stopped artificially, or when the service needs to be started again for other reasons, because the backend database is persistent, you can start the service directly.

When HugeGraphServer starts, it will connect to the backend storage and try to check the version number of the backend storage. If the backend is not initialized or the backend has been initialized but the version does not match (old version data), HugeGraphServer will fail to start and give an error message.

If you need to access HugeGraphServer externally, please modify the restserver.url configuration item of rest-server.properties （default is http://127.0.0.1:8080）, change to machine name or IP address.

Since the configuration (hugegraph.properties) and startup steps required by various backends are slightly different, the following will introduce the configuration and startup of each backend one by one.

If you want to use HugeGraph authentication mode, you should follow the Server Authentication Configuration before you start Server later.

5.1.1 Memory

backend=memory
serializer=text

bin/start-hugegraph.sh
Starting HugeGraphServer...
Connecting to HugeGraphServer (http://127.0.0.1:8080/graphs)....OK

5.1.2 RocksDB

backend=rocksdb
serializer=binary
rocksdb.data_path=.
rocksdb.wal_path=.

cd *hugegraph-${version}
bin/init-store.sh

bin/start-hugegraph.sh
Starting HugeGraphServer...
Connecting to HugeGraphServer (http://127.0.0.1:8080/graphs)....OK

5.1.3 Cassandra

backend=cassandra
serializer=cassandra

# cassandra backend config
cassandra.host=localhost
cassandra.port=9042
cassandra.username=
cassandra.password=
#cassandra.connect_timeout=5
#cassandra.read_timeout=20

#cassandra.keyspace.strategy=SimpleStrategy
#cassandra.keyspace.replication=3

cd *hugegraph-${version}
bin/init-store.sh
Initing HugeGraph Store...
2017-12-01 11:26:51 1424  [main] [INFO ] org.apache.hugegraph.HugeGraph [] - Opening backend store: 'cassandra'
2017-12-01 11:26:52 2389  [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Failed to connect keyspace: hugegraph, try init keyspace later
2017-12-01 11:26:52 2472  [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Failed to connect keyspace: hugegraph, try init keyspace later
2017-12-01 11:26:52 2557  [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Failed to connect keyspace: hugegraph, try init keyspace later
2017-12-01 11:26:53 2797  [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Store initialized: huge_graph
2017-12-01 11:26:53 2945  [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Store initialized: huge_schema
2017-12-01 11:26:53 3044  [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Store initialized: huge_index
2017-12-01 11:26:53 3046  [pool-3-thread-1] [INFO ] org.apache.hugegraph.backend.Transaction [] - Clear cache on event 'store.init'
2017-12-01 11:26:59 9720  [main] [INFO ] org.apache.hugegraph.HugeGraph [] - Opening backend store: 'cassandra'
2017-12-01 11:27:00 9805  [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Failed to connect keyspace: hugegraph1, try init keyspace later
2017-12-01 11:27:00 9886  [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Failed to connect keyspace: hugegraph1, try init keyspace later
2017-12-01 11:27:00 9955  [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Failed to connect keyspace: hugegraph1, try init keyspace later
2017-12-01 11:27:00 10175 [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Store initialized: huge_graph
2017-12-01 11:27:00 10321 [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Store initialized: huge_schema
2017-12-01 11:27:00 10413 [main] [INFO ] org.apache.hugegraph.backend.store.cassandra.CassandraStore [] - Store initialized: huge_index
2017-12-01 11:27:00 10413 [pool-3-thread-1] [INFO ] org.apache.hugegraph.backend.Transaction [] - Clear cache on event 'store.init'

bin/start-hugegraph.sh
Starting HugeGraphServer...
Connecting to HugeGraphServer (http://127.0.0.1:8080/graphs)....OK

5.1.4 ScyllaDB

backend=scylladb
serializer=scylladb

# cassandra backend config
cassandra.host=localhost
cassandra.port=9042
cassandra.username=
cassandra.password=
#cassandra.connect_timeout=5
#cassandra.read_timeout=20

#cassandra.keyspace.strategy=SimpleStrategy
#cassandra.keyspace.replication=3

cd *hugegraph-${version}
bin/init-store.sh

bin/start-hugegraph.sh
Starting HugeGraphServer...
Connecting to HugeGraphServer (http://127.0.0.1:8080/graphs)....OK

5.1.5 HBase

backend=hbase
serializer=hbase

# hbase backend config
hbase.hosts=localhost
hbase.port=2181
# Note: recommend to modify the HBase partition number by the actual/env data amount & RS amount before init store
# it may influence the loading speed a lot
#hbase.enable_partition=true
#hbase.vertex_partitions=10
#hbase.edge_partitions=30

cd *hugegraph-${version}
bin/init-store.sh

bin/start-hugegraph.sh
Starting HugeGraphServer...
Connecting to HugeGraphServer (http://127.0.0.1:8080/graphs)....OK

5.1.6 MySQL

backend=mysql
serializer=mysql

store=hugegraph

# mysql backend config
jdbc.driver=com.mysql.cj.jdbc.Driver
jdbc.url=jdbc:mysql://127.0.0.1:3306
jdbc.username=
jdbc.password=
jdbc.reconnect_max_times=3
jdbc.reconnect_interval=3
jdbc.ssl_mode=false

cd *hugegraph-${version}
bin/init-store.sh

bin/start-hugegraph.sh
Starting HugeGraphServer...
Connecting to HugeGraphServer (http://127.0.0.1:8080/graphs)....OK

5.1.7 Create an example graph when startup

Carry the -p true arguments when starting the script, which indicates preload, to create a sample graph.

bin/start-hugegraph.sh -p true
Starting HugeGraphServer in daemon mode...
Connecting to HugeGraphServer (http://127.0.0.1:8080/graphs)......OK

And use the RESTful API to request HugeGraphServer and get the following result:

> curl "http://localhost:8080/graphs/hugegraph/graph/vertices" | gunzip

{"vertices":[{"id":"2:lop","label":"software","type":"vertex","properties":{"name":"lop","lang":"java","price":328}},{"id":"1:josh","label":"person","type":"vertex","properties":{"name":"josh","age":32,"city":"Beijing"}},{"id":"1:marko","label":"person","type":"vertex","properties":{"name":"marko","age":29,"city":"Beijing"}},{"id":"1:peter","label":"person","type":"vertex","properties":{"name":"peter","age":35,"city":"Shanghai"}},{"id":"1:vadas","label":"person","type":"vertex","properties":{"name":"vadas","age":27,"city":"Hongkong"}},{"id":"2:ripple","label":"software","type":"vertex","properties":{"name":"ripple","lang":"java","price":199}}]}

This indicates the successful creation of the sample graph.

5.2 Use Docker to startup

In 3.3 Use Docker container, we have introduced how to use docker to deploy hugegraph-server. server can also preload an example graph by setting the parameter.

5.2.1 Uses Cassandra as storage

version: "3"

services:
  graph:
    image: hugegraph/hugegraph
    container_name: cas-server
    ports:
      - 8080:8080
    environment:
      hugegraph.backend: cassandra
      hugegraph.serializer: cassandra
      hugegraph.cassandra.host: cas-cassandra
      hugegraph.cassandra.port: 9042
    networks:
      - ca-network
    depends_on:
      - cassandra
    healthcheck:
      test: ["CMD", "bin/gremlin-console.sh", "--" ,"-e", "scripts/remote-connect.groovy"]
      interval: 10s
      timeout: 30s
      retries: 3

  cassandra:
    image: cassandra:4
    container_name: cas-cassandra
    ports:
      - 7000:7000
      - 9042:9042
    security_opt:
      - seccomp:unconfined
    networks:
      - ca-network
    healthcheck:
      test: ["CMD", "cqlsh", "--execute", "describe keyspaces;"]
      interval: 10s
      timeout: 30s
      retries: 5

networks:
  ca-network:

volumes:
  hugegraph-data:

5.2.2 Create example graph when starting server

Set the environment variable PRELOAD=true when starting Docker in order to load data during the execution of the startup script.

1. Use docker run

   Use docker run -itd --name=server -p 8080:8080 -e PRELOAD=true hugegraph/hugegraph:latest

2. Use docker-compose

   Create docker-compose.yml as following. We should set the environment variable PRELOAD=true. example.groovy is a predefined script to preload the sample data. If needed, we can mount a new example.groovy to change the preload data.

   version: '3'
     services:
       server:
         image: hugegraph/hugegraph:latest
         container_name: server
         environment:
           - PRELOAD=true
         ports:
           - 8080:8080
   

   Use docker-compose up -d to start the container

And use the RESTful API to request HugeGraphServer and get the following result:

> curl "http://localhost:8080/graphs/hugegraph/graph/vertices" | gunzip

{"vertices":[{"id":"2:lop","label":"software","type":"vertex","properties":{"name":"lop","lang":"java","price":328}},{"id":"1:josh","label":"person","type":"vertex","properties":{"name":"josh","age":32,"city":"Beijing"}},{"id":"1:marko","label":"person","type":"vertex","properties":{"name":"marko","age":29,"city":"Beijing"}},{"id":"1:peter","label":"person","type":"vertex","properties":{"name":"peter","age":35,"city":"Shanghai"}},{"id":"1:vadas","label":"person","type":"vertex","properties":{"name":"vadas","age":27,"city":"Hongkong"}},{"id":"2:ripple","label":"software","type":"vertex","properties":{"name":"ripple","lang":"java","price":199}}]}

This indicates the successful creation of the sample graph.

6. Access server

6.1 Service startup status check

Use jps to see a service process

jps
6475 HugeGraphServer

curl request RESTfulAPI

echo `curl -o /dev/null -s -w %{http_code} "http://localhost:8080/graphs/hugegraph/graph/vertices"`

Return 200, which means the server starts normally.

6.2 Request Server

The RESTful API of HugeGraphServer includes various types of resources, typically including graph, schema, gremlin, traverser and task.

• graph contains vertices、edges
• schema contains vertexlabels、 propertykeys、 edgelabels、indexlabels
• gremlin contains various Gremlin statements, such as g.v(), which can be executed synchronously or asynchronously
• traverser contains various advanced queries including shortest paths, intersections, N-step reachable neighbors, etc.
• task contains query and delete with asynchronous tasks

6.2.1 Get vertices and its related properties in hugegraph

curl http://localhost:8080/graphs/hugegraph/graph/vertices 

explanation

1. Since there are many vertices and edges in the graph, for list-type requests, such as getting all vertices, getting all edges, etc., the server will compress the data and return it, so when use curl, you get a bunch of garbled characters, you can redirect to gunzip for decompression. It is recommended to use Chrome browser + Restlet plugin to send HTTP requests for testing.

   curl "http://localhost:8080/graphs/hugegraph/graph/vertices" | gunzip
   

2. The current default configuration of HugeGraphServer can only be accessed locally, and the configuration can be modified so that it can be accessed on other machines.

   vim conf/rest-server.properties
   
   restserver.url=http://0.0.0.0:8080
   

response body:

{
    "vertices": [
        {
            "id": "2lop",
            "label": "software",
            "type": "vertex",
            "properties": {
                "price": [
                    {
                        "id": "price",
                        "value": 328
                    }
                ],
                "name": [
                    {
                        "id": "name",
                        "value": "lop"
                    }
                ],
                "lang": [
                    {
                        "id": "lang",
                        "value": "java"
                    }
                ]
            }
        },
        {
            "id": "1josh",
            "label": "person",
            "type": "vertex",
            "properties": {
                "name": [
                    {
                        "id": "name",
                        "value": "josh"
                    }
                ],
                "age": [
                    {
                        "id": "age",
                        "value": 32
                    }
                ]
            }
        },
        ...
    ]
}

For detailed API, please refer to RESTful-API

You can also visit localhost:8080/swagger-ui/index.html to check the API.

When using Swagger UI to debug the API provided by HugeGraph, if HugeGraph Server turns on authentication mode, you can enter authentication information on the Swagger page.

Currently, HugeGraph supports setting authentication information in two forms: Basic and Bearer.

7 Stop Server

$cd *hugegraph-${version}
$bin/stop-hugegraph.sh

8 Debug Server with IntelliJ IDEA

Please refer to Setup Server in IDEA