如何安装Python3下的非关系型图数据库Neo4j实例？

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Neo4j图数据库简介：Neo4j是当今最火爆的图数据库。自2010年发布以来，其发展势头依然强劲。作为图数据库，Neo4j最大的特点是关系数据的存储。图数据库除了具备传统数据库的功能外，还能高效处理复杂的关系数据。

非关系型图数据库Neo4j简介

Neo4j是现今最火爆的图数据。在2010年发布，产品的发展势头还算不错。

作为图数据库，Neo4j最大的特点是关系数据的存储。

图数据库除了能够像普通的数据库一样存储一行一行的数据之外，还可以很方便的看出存储数据之间的关系信息。

适合存储”修改较少，查询较多，没有超大节点“的图数据。

图数据库Neo4j应用场景

社交网络

根据用户与其他用户的关系为用户推荐新的朋友。例如，在QQ中给你推荐朋友的朋友 。

智能推荐引擎

通过分析用户有哪些朋友、用户朋友喜好的产品、用户的浏览记录等关系信息推测用户的喜好进而为用户推荐商品。

知识图谱

根据知识点间的关系建立图谱，帮助用户搜索到关联的知识。例如在百度上搜索Neo4j，会同时出现MySQL等类似的内容。

恶意软件检测

通过记录软件行为的各种关系数据，例如其访问了哪些IP、访问了哪些系统资源，进而分析软件行为是否具有恶意。

网络、数据中心管理

网络、数据中心这些基础设施自身就是一个包含复杂关系的网络，利用Neo4j可以方便的建立设备之间的关系，以便于对整个系统的管理。

Neo4j优点

• 数据的插入，查询操作很直观，不用再像之前要考虑各个表之间的关系。
• 提供的图搜索和图遍历方法很方便，速度也是比较快的。

Neo4j缺点

• 最不能让人忍受的就是极慢的插入速度。可能是因为创建节点和边的时候需要保存一些额外信息（为了查询服务）。不知道是不是我代码的问题，插入10000个节点，10000条边花了将近10分钟…
• 超大节点。当有一个节点的边非常多时（常见于大V），有关这个节点的操作的速度将大大下降。这个问题很早就有了，官方也说过会处理，然而现在仍然不能让人满意。
• 提高数据库速度的常用方法就是多分配内存，然而看了官方操作手册，貌似无法直接设置数据库内存占用量，而是需要计算后为其”预留“内存…

CentOS安装启动Neo4j

下载Neo4j

下载地址：neo4j.com/download-center/#community

包地址：neo4j.com/artifact.php?name=neo4j-community-3.5.6-unix.tar.gz

下载 3.5.6 版本

curl -O neo4j.com/artifact.php?name=neo4j-community-3.5.6-unix.tar.gz

安装Neo4j

tar -zxvf neo4j-community-3.5.6-unix.tar.gz

移动文件夹

mv neo4j-community-3.5.6/ /usr/local/neo4j

效果

修改Neo4j配置文件

配置文件路径

1、修改第22行load csv时路径，在前面加个#注释掉，可从任意路径读取文件

#dbms.directories.import=import

2、修改35行和36行，去除注释，设置JVM初始堆内存和JVM最大堆内存

（理论上JVM最大 堆内存越大越好，但是要小于机器的物理内存）

dbms.memory.heap.initial_size=512m

dbms.memory.heap.max_size=1g

如果不知道还剩多少，可以用linux命令free -m

3、修改46行，可以认为这个是缓存，如果机器配置高，这个越大越好

dbms.memory.pagecache.size=5g

4、修改54行，去掉改行的#，可以远程通过ip访问neo4j数据库

dbms.connectors.default_listen_address=0.0.0.

5、默认 bolt端口是7687，neo4j.com/docs/operations-manual/current/reference/configuration-settings/ #***************************************************************** # The name of the database to mount #dbms.active_database=graph.db # Paths of directories in the installation. #dbms.directories.data=data #dbms.directories.plugins=plugins #dbms.directories.certificates=certificates #dbms.directories.logs=logs #dbms.directories.lib=lib #dbms.directories.run=run # This setting constrains all `LOAD CSV` import files to be under the `import` directory. Remove or comment it out to # allow files to be loaded from anywhere in the filesystem; this introduces possible security problems. See the # `LOAD CSV` section of the manual for details. # dbms.directories.import=import # Whether requests to Neo4j are authenticated. # To disable authentication, uncomment this line #dbms.security.auth_enabled=false # Enable this to be able to upgrade a store from an older version. #dbms.allow_upgrade=true # Java Heap Size: by default the Java heap size is dynamically # calculated based on available system resources. # Uncomment these lines to set specific initial and maximum # heap size. dbms.memory.heap.initial_size=512m dbms.memory.heap.max_size=1g # The amount of memory to use for mapping the store files, in bytes (or # kilobytes with the 'k' suffix, megabytes with 'm' and gigabytes with 'g'). # If Neo4j is running on a dedicated server, then it is generally recommended # to leave about 2-4 gigabytes for the operating system, give the JVM enough # heap to hold all your transaction state and query context, and then leave the # rest for the page cache. # The default page cache memory assumes the machine is dedicated to running # Neo4j, and is heuristically set to 50% of RAM minus the max Java heap size. dbms.memory.pagecache.size=5g #***************************************************************** # Network connector configuration #***************************************************************** # With default configuration Neo4j only accepts local connections. # To accept non-local connections, uncomment this line: dbms.connectors.default_listen_address=0.0.0.0 # You can also choose a specific network interface, and configure a non-default # port for each connector, by setting their individual listen_address. # The address at which this server can be reached by its clients. This may be the server's IP address or DNS name, or # it may be the address of a reverse proxy which sits in front of the server. This setting may be overridden for # individual connectors below. #dbms.connectors.default_advertised_address=localhost # You can also choose a specific advertised hostname or IP address, and # configure an advertised port for each connector, by setting their # individual advertised_address. # Bolt connector dbms.connector.bolt.enabled=true #dbms.connector.bolt.tls_level=OPTIONAL dbms.connector.bolt.listen_address=:7687 # HTTP Connector. There can be zero or one HTTP connectors. dbms.connector.docs.oracle.com/cd/E19957-01/819-0084-10/pt_tuningjava.html#wp57013 for more information. #dbms.logs.gc.options=-XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+PrintGCApplicationStoppedTime -XX:+PrintPromotionFailure -XX:+PrintTenuringDistribution # For Java 9 and newer GC Logging Options # see docs.oracle.com/javase/10/tools/java.htm#JSWOR-GUID-BE93ABDC-999C-4CB5-A88B-1994AAAC74D5 #dbms.logs.gc.options=-Xlog:gc*,safepoint,age*=trace # Number of GC logs to keep. #dbms.logs.gc.rotation.keep_number=5 # Size of each GC log that is kept. #dbms.logs.gc.rotation.size=20m # Log level for the debug log. One of DEBUG, INFO, WARN and ERROR. Be aware that logging at DEBUG level can be very verbose. #dbms.logs.debug.level=INFO # Size threshold for rotation of the debug log. If set to zero then no rotation will occur. Accepts a binary suffix "k", # "m" or "g". #dbms.logs.debug.rotation.size=20m # Maximum number of history files for the internal log. #dbms.logs.debug.rotation.keep_number=7 #***************************************************************** # Miscellaneous configuration #***************************************************************** # Enable this to specify a parser other than the default one. #cypher.default_language_version=3.0 # Determines if Cypher will allow using file URLs when loading data using # `LOAD CSV`. Setting this value to `false` will cause Neo4j to fail `LOAD CSV` # clauses that load data from the file system. dbms.security.allow_csv_import_from_file_urls=true # Value of the Access-Control-Allow-Origin header sent over any HTTP or HTTPS # connector. This defaults to '*', which allows broadest compatibility. Note # that any URI provided here limits HTTP/HTTPS access to that URI only. #dbms.security.localhost:7474/examples/unmanaged/helloworld/{nodeId} #dbms.unmanaged_extension_classes=org.neo4j.examples.server.unmanaged=/examples/unmanaged # A comma separated list of procedures and user defined functions that are allowed # full access to the database through unsupported/insecure internal APIs. #dbms.security.procedures.unrestricted=my.extensions.example,my.procedures.* # A comma separated list of procedures to be loaded by default. # Leaving this unconfigured will load all procedures found. #dbms.security.procedures.whitelist=apoc.coll.*,apoc.load.* #******************************************************************** # JVM Parameters #******************************************************************** # G1GC generally strikes a good balance between throughput and tail # latency, without too much tuning. dbms.jvm.additional=-XX:+UseG1GC # Have common exceptions keep producing stack traces, so they can be # debugged regardless of how often logs are rotated. dbms.jvm.additional=-XX:-OmitStackTraceInFastThrow # Make sure that `initmemory` is not only allocated, but committed to # the process, before starting the database. This reduces memory # fragmentation, increasing the effectiveness of transparent huge # pages. It also reduces the possibility of seeing performance drop # due to heap-growing GC events, where a decrease in available page # cache leads to an increase in mean IO response time. # Try reducing the heap memory, if this flag degrades performance. dbms.jvm.additional=-XX:+AlwaysPreTouch # Trust that non-static final fields are really final. # This allows more optimizations and improves overall performance. # NOTE: Disable this if you use embedded mode, or have extensions or dependencies that may use reflection or # serialization to change the value of final fields! dbms.jvm.additional=-XX:+UnlockExperimentalVMOptions dbms.jvm.additional=-XX:+TrustFinalNonStaticFields # Disable explicit garbage collection, which is occasionally invoked by the JDK itself. dbms.jvm.additional=-XX:+DisableExplicitGC # Remote JMX monitoring, uncomment and adjust the following lines as needed. Absolute paths to jmx.access and # jmx.password files are required. # Also make sure to update the jmx.access and jmx.password files with appropriate permission roles and passwords, # the shipped configuration contains only a read only role called 'monitor' with password 'Neo4j'. # For more details, see: download.oracle.com/javase/8/docs/technotes/guides/management/agent.html # On Unix based systems the jmx.password file needs to be owned by the user that will run the server, # and have permissions set to 0600. # For details on setting these file permissions on Windows see: # docs.oracle.com/javase/8/docs/technotes/guides/management/security-windows.html #dbms.jvm.additional=-Dcom.sun.management.jmxremote.port=3637 #dbms.jvm.additional=-Dcom.sun.management.jmxremote.authenticate=true #dbms.jvm.additional=-Dcom.sun.management.jmxremote.ssl=false #dbms.jvm.additional=-Dcom.sun.management.jmxremote.password.file=/absolute/path/to/conf/jmx.password #dbms.jvm.additional=-Dcom.sun.management.jmxremote.access.file=/absolute/path/to/conf/jmx.access # Some systems cannot discover host name automatically, and need this line configured: #dbms.jvm.additional=-Djava.rmi.server.hostname=$THE_NEO4J_SERVER_HOSTNAME # Expand Diffie Hellman (DH) key size from default 1024 to 2048 for DH-RSA cipher suites used in server TLS handshakes. # This is to protect the server from any potential passive eavesdropping. dbms.jvm.additional=-Djdk.tls.ephemeralDHKeySize=2048 # This mitigates a DDoS vector. dbms.jvm.additional=-Djdk.tls.rejectClientInitiatedRenegotiation=true #******************************************************************** # Wrapper Windows NT/2000/XP Service Properties #******************************************************************** # WARNING - Do not modify any of these properties when an application # using this configuration file has been installed as a service. # Please uninstall the service before modifying this section. The # service can then be reinstalled. # Name of the service dbms.windows_service_name=neo4j #******************************************************************** # Other Neo4j system properties #******************************************************************** dbms.jvm.additional=-Dunsupported.dbms.udc.source=tarball

查看Neo4j是否启动

启动：进入bin目录执行./neo4j start

停止：进入bin目录执行./neo4j stop

查看状态：进入bin目录执行./neo4j status

web访问Neo4j

服务器ip:7474/browser/

在浏览器访问图数据库所在的机器上的7474端口（第一次访问账号neo4j，密码neo4j，会提示修改初始密码）

设置完密码后，点击左上角数据库，就能看到图数据库里面的信息了

Python3操作Neo4j

安装py2neo模块

pip install py2neo

如果安不上，请用：

pip install git+github.com/nigelsmall/py2neo.git

官网地址：py2neo.org/v3/index.html

更多内容请参考官网给的命令：

效果图

简单讲解

如上图，是本示例的效果。

其中，我加了5个节点信息，3种关系（7个分支的关系），还有3种属性。

这里是给了节点加了属性，例如我给自己加了“博客地址”的属性，属性值为“www.jb51.net/”。

还可以给关系加属性，这里没做展示，方法是类似的。

完整源码

from py2neo import Graph, Node, Relationship graph = Graph(host='IP地址', shazhenyu.blog.csdn.net/') graph.create(test_node_0) graph.create(test_node_1) graph.create(test_node_2) graph.create(test_node_3) graph.create(test_node_4) # 创建关系 # 分别建立了test_node_1指向test_node_2和test_node_2指向test_node_1两条关系，关系的类型为"丈夫、妻子"，两条关系都有属性count，且值为1。 node_0_node_1 = Relationship(test_node_0, '师傅', test_node_1) node_0_node_2 = Relationship(test_node_0, '师傅', test_node_2) node_0_node_3 = Relationship(test_node_0, '师傅', test_node_3) node_1_node_0 = Relationship(test_node_1, '徒弟', test_node_0) node_2_node_0 = Relationship(test_node_2, '徒弟', test_node_0) node_3_node_0 = Relationship(test_node_3, '徒弟', test_node_0) node_4_node_0 = Relationship(test_node_4, '坐骑', test_node_0) node_0_node_1['count'] = 1 node_4_node_0['count'] = 1 graph.create(node_0_node_1) graph.create(node_0_node_2) graph.create(node_0_node_3) graph.create(node_1_node_0) graph.create(node_2_node_0) graph.create(node_3_node_0) graph.create(node_4_node_0) print(graph) print(test_node_0) print(test_node_1) print(test_node_2) print(test_node_3) print(test_node_4) print(node_0_node_1) print(node_0_node_2) print(node_0_node_3) print(node_1_node_0) print(node_2_node_0) print(node_3_node_0) print(node_4_node_0)

本文详细讲解了非关系型图数据库Neo4j安装方法及Python3连接操作Neo4j方法实例，更多关于Python3操作Neo4j的知识请查看下面的相关链接