intelligent graph database
- intelligent property graph management
- distributed graph
- ElasticSearch as costore backend
- HBase as BLOB storage backend
PandaDB v0.2 is an open source product licensed under GPLv3.
- Unsupport cypher point type, list type and duration type.
mvn clean install cd packaging mvn package -Pserver-unix-dist or
cd packaging mvn package -Pserver-win-dist this command will create pandadb-server-<version>-unix.tgz or pandadb-server-<version>-win.zip in target directory.
cd packaging mvn package -Pserver-jar this command will create pandadb-server-all-in-one-<version>.jar in target directory.
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Install ElasticSearch :
please visit ElasticSearch Guid Page to install ElasticSearch.
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Install HBase :
please visit HBASE Home Page to install HBase.
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install AIPM
please visit https://github.com/cas-bigdatalab/aipm-web to deploy aipm service.
visit https://github.com/grapheco/pandadb-v0.2/releases to get pandadb-v0.2 binary distributions.
unpack pandadb-server-<version>-unix.tar.gz in your local directory, e.g. /usr/local/.
cd /usr/local/pandadb-server-<version> vi conf/neo4j.conf - modify costore related configurations refer to the following example:
costore.enable=true # replace <es-host> and <es-port> with actual hostname and port costore.es.host=<es-host> costore.es.port=<es-port> costore.es.index=pandadb-costore costore.es.type=nodes - modify HBase Blob Storage related configurations refer to the following example:
# replace <zk-host:port> with actual hbase zookeeper quorum blob.storage.hbase.zookeeper.quorum=<zk-host:port> blob.storage.hbase.auto_create_table=true blob.storage.hbase.table=PANDADB_BLOB - modify AIPM configurations refer to the following example:
# replace <aipm-url> with actual AIPM URL aipm.http.host.url=<aipm-url> - modify configuration file to unenable
cn.pandadb.jraft.enabled
cn.pandadb.jraft.enabled=false - start PandaDB server
# start a PandaDB server silently cd /usr/local/pandadb-server-<version> bin/neo4j start (1) three copies of the PandaDB installation package in three different directories or on three machines.
(2) modify configuration file to enable cn.pandadb.jraft.enabled and set cn.pandadb.jraft.server.peers on all copies refer to the following example:
cn.pandadb.jraft.enabled=true cn.pandadb.jraft.server.peers=node1:8081,node2:8081,node3:8081 (3) set cn.pandadb.jraft.server.id
- modify configuration file on node1
cn.pandadb.jraft.server.id=node1:8081 - modify configuration file on node2
cn.pandadb.jraft.server.id=node2:8081 - modify configuration file on node3
cn.pandadb.jraft.server.id=node3:8081 (4) run below command on three nodes to start cluster
bin/neo4j start visit https://github.com/grapheco/pandadb-v0.2/releases to get pandadb-driver-.jar .
import dependency first:
<dependency> <groupId>cn.pandadb</groupId> <artifactId>pandadb-driver</artifactId> <version>0.2.0-SNAPSHOT</version> </dependency> use GraphDatabase.driver() to connect remote PandaDB Cluster, just like using neo4j:
// cluster: 127.0.0.1:7610, 127.0.0.1:7620, 127.0.0.1:7630 val driver = GraphDatabase.driver("bolt://127.0.0.1:7610", AuthTokens.basic("neo4j", "neo4j")) //write or read by session val session = driver.session() session.run("create (n:test{name:'test'})") val res = session.run("match (n) return n") session.close() // write or read by transaction val session2 = driver.session() val tx = session2.beginTransaction() tx.run("create (n:test2{name:'test2'})") val res = tx.run("match (n) return n") tx.success() tx.close() session2.close() driver.close() more example code, see https://github.com/grapheco/pandadb-v0.2/tree/master/pandadb-itest/src/main/scala/cn/pandadb/drivertest/
PandaDB v0.2 is an open source product licensed under GPLv3.