Neo4j批量插入(Batch Insertion)

简介: 新建一个maven工程,这里不赘述如何新建maven工程。添加Neo4j jar到你的工程有两种方式:上网站官网下载jar包,根据自己的系统下载不同的压缩包,详细过程不描述,请自行搜索其他博客通过maven获得jar包,本文将详细介绍这个方法pom.

新建一个maven工程,这里不赘述如何新建maven工程。

添加Neo4j jar到你的工程

有两种方式:

  • 上网站官网下载jar包,根据自己的系统下载不同的压缩包,详细过程不描述,请自行搜索其他博客
  • 通过maven获得jar包,本文将详细介绍这个方法

pom.xml文件下添加dependency

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <groupId>nd.esp.com</groupId>
  <artifactId>MyNeo4j</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <packaging>jar</packaging>

  <name>MyNeo4j</name>
  <url>http://maven.apache.org</url>

  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
  </properties>

<!-- Embedded Neo4j依赖,目前最新版本是2.3.3-->
  <dependencies>
    <dependency>
     <groupId>org.neo4j</groupId>
     <artifactId>neo4j-slf4j</artifactId>
     <version>2.3.3</version>
    </dependency>
  </dependencies>
</project>

Hello World 程序

代码可以在github上看到:https://github.com/neo4j/neo4j/blob/2.3.3/community/embedded-examples/src/main/java/org/neo4j/examples/EmbeddedNeo4j.java

/*
 * Licensed to Neo Technology under one or more contributor
 * license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright
 * ownership. Neo Technology licenses this file to you under
 * the Apache License, Version 2.0 (the "License"); you may
 * not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied. See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.neo4j.examples;

import java.io.File;
import java.io.IOException;

import org.neo4j.graphdb.Direction;
import org.neo4j.graphdb.GraphDatabaseService;
import org.neo4j.graphdb.Node;
import org.neo4j.graphdb.Relationship;
import org.neo4j.graphdb.RelationshipType;
import org.neo4j.graphdb.Transaction;
import org.neo4j.graphdb.factory.GraphDatabaseFactory;
import org.neo4j.io.fs.FileUtils;

public class EmbeddedNeo4j
{
    // Embedded Neo4j会在本地产生一个文件夹(类似于Mysql的数据库)
    private static final String DB_PATH = "target/neo4j-hello-db";

    public String greeting;

    // START SNIPPET: vars
    GraphDatabaseService graphDb;
    Node firstNode;
    Node secondNode;
    Relationship relationship;
    // END SNIPPET: vars

    // START SNIPPET: createReltype
    private static enum RelTypes implements RelationshipType
    {
        KNOWS
    }
    // END SNIPPET: createReltype

    public static void main( final String[] args ) throws IOException
    {
        EmbeddedNeo4j hello = new EmbeddedNeo4j();
        hello.createDb();
        // 删除数据
        hello.removeData();
        hello.shutDown();
    }

    void createDb() throws IOException
    {
        FileUtils.deleteRecursively( new File( DB_PATH ) );

        // START SNIPPET: startDb
        graphDb = new GraphDatabaseFactory().newEmbeddedDatabase( DB_PATH );
        registerShutdownHook( graphDb );
        // END SNIPPET: startDb

        // START SNIPPET: transaction
        // Embedded Neo4j基本上所有的操作都需要在事务内执行
        try ( Transaction tx = graphDb.beginTx() )
        {
            // Database operations go here
            // END SNIPPET: transaction
            // START SNIPPET: addData
            firstNode = graphDb.createNode();
            firstNode.setProperty( "message", "Hello, " );
            secondNode = graphDb.createNode();
            secondNode.setProperty( "message", "World!" );

            relationship = firstNode.createRelationshipTo( secondNode, RelTypes.KNOWS );
            relationship.setProperty( "message", "brave Neo4j " );
            // END SNIPPET: addData

            // START SNIPPET: readData
            System.out.print( firstNode.getProperty( "message" ) );
            System.out.print( relationship.getProperty( "message" ) );
            System.out.print( secondNode.getProperty( "message" ) );
            // END SNIPPET: readData

            greeting = ( (String) firstNode.getProperty( "message" ) )
                       + ( (String) relationship.getProperty( "message" ) )
                       + ( (String) secondNode.getProperty( "message" ) );

            // START SNIPPET: transaction
            tx.success();
        }
        // END SNIPPET: transaction
    }
    // 移除新建的数据
    void removeData()
    {
        try ( Transaction tx = graphDb.beginTx() )
        {
            // START SNIPPET: removingData
            // let's remove the data
            firstNode.getSingleRelationship( RelTypes.KNOWS, Direction.OUTGOING ).delete();
            firstNode.delete();
            secondNode.delete();
            // END SNIPPET: removingData

            tx.success();
        }
    }
    // 关闭Neo4j 数据库
    void shutDown()
    {
        System.out.println();
        System.out.println( "Shutting down database ..." );
        // START SNIPPET: shutdownServer
        graphDb.shutdown();
        // END SNIPPET: shutdownServer
    }

    // 为Neo4j 实例注册一个关闭的hook,当VM被强制退出时,Neo4j 实例能够正常关闭
    private static void registerShutdownHook( final GraphDatabaseService graphDb )
    {
        // Registers a shutdown hook for the Neo4j instance so that it
        // shuts down nicely when the VM exits (even if you "Ctrl-C" the
        // running application).
        Runtime.getRuntime().addShutdownHook( new Thread()
        {
            @Override
            public void run()
            {
                graphDb.shutdown();
            }
        } );
    }
}

在事务中操作

所有的操作都必须在一个事务中完成。这是官方一个刻意的设计,因为他们坚信事务划分是企业型数据库重要的一部分。所以,你可以使用如下的方式开启事务:

try ( Transaction tx = graphDb.beginTx() ){
    // Database operations go here
    tx.success();
}

try(){}这种语法是在jdk1.7之后支持的,这种方式能够让vm支持自动释放使用结束的资源。在这里可以不需要自己调用语句:

finally{
    tx.close();
}

如果你使用低于jdk1.7以后的版本,可以修改为如下的代码:

Transaction tx = graphDb.beginTx()  
try{
    // Database operations go here
    tx.success();
}finally{
    tx.close();
}

创建一个简单的图

使用一下代码创建两个节点和一个关系:

firstNode = graphDb.createNode();
firstNode.setProperty( "message", "Hello, " );
secondNode = graphDb.createNode();
secondNode.setProperty( "message", "World!" );

relationship = firstNode.createRelationshipTo( secondNode, RelTypes.KNOWS );
relationship.setProperty( "message", "brave Neo4j " );

创建之后的图数据如下:
HelloWorld输出结果

本文翻译自官网使用手册:http://neo4j.com/docs/stable/tutorials-java-embedded-hello-world.html

教程结束,感谢阅读。
欢迎转载,但请注明本文链接,谢谢。
2016/4/5 20:09:25

目录
相关文章
|
2月前
|
算法 关系型数据库 MySQL
浅析MySQL Join Reorder算法
本文浅析了MySQL Join Reorder算法的流程,cost计算,剪枝算法等,希望通过本文能帮助大家了解MySQL优化器生成执行计划的具体流程。
openGauss向量化Merge Join--semi join
openGauss向量化Merge Join--semi join
95 0
openGauss向量化Merge Join--inner join
openGauss向量化Merge Join--inner join
86 0
openGauss向量化Merge Join--inner join
|
SQL 弹性计算 关系型数据库
PostgreSQL 大宽表,全列索引,高并发合并写入(insert into on conflict, upsert, merge insert) - 实时adhoc query
标签 PostgreSQL , 全列索引 , 大宽表 , 写测试 , insert on conflict , upsert , merge insert , adhoc query 背景 OLAP系统中,adhoc query非常场景(任意维度查询分析)。 adhoc query,通常来说,可以加GIN倒排,或者每一列都加一个索引来实现。 《PostgreSQL 设计优化case
8646 0
|
SQL 分布式计算 并行计算
PostgreSQL 并行计算解说 之23 - parallel append merge
标签 PostgreSQL , cpu 并行 , smp 并行 , 并行计算 , gpu 并行 , 并行过程支持 背景 PostgreSQL 11 优化器已经支持了非常多场合的并行。简单估计,已支持27余种场景的并行计算。 parallel seq scan
1188 0
|
关系型数据库 PostgreSQL C++
|
分布式计算 Java Spark
Spark Tungsten-sort Based Shuffle 分析
Tungsten-sort 算不得一个全新的shuffle 方案,它在特定场景下基于类似现有的Sort Based Shuffle处理流程,对内存/CPU/Cache使用做了非常大的优化。带来高效的同时,也就限定了自己的使用场景。如果Tungsten-sort 发现自己无法处理,则会自动使用 Sor
3759 0
|
关系型数据库 PostgreSQL 索引