linux环境下elasticsearch+kibana+ik(实现热词自动更新)

elasticsearch（双节点）我准备了两台服务器 160(es node1 + kibana ) 和161(es node2)
如下图是需要的资源文件

注意es kibana ik 版本要相同

修改/etc/security/limits.conf文件增加配置
```
vi /etc/security/limits.conf 

* soft nofile 65536
* hard nofile 65536
```
在/etc/sysctl.conf文件最后添加一行 vm.max_map_count=655360 添加完毕之后，执行命令： sysctl -p
```
vi /etc/sysctl.conf
 sysctl -p
```
es默认必须用非root用户执行，所以将解压的es文件夹下所有文件交给非root用户：
```
chown -R esuser.esuser ./es
```
切换用户，更改配置文件
```
su esuser
```

es node1 配置文件内容：

cluster.name: elasticsearch_cluster
node.name: node-1
node.master: true
node.data: true
http.port: 9200
network.host: 0.0.0.0
network.publish_host: 192.168.209.160
discovery.zen.ping.unicast.hosts: ["192.168.209.160","192.168.209.161"]
http.host: 0.0.0.0
http.cors.enabled: true
http.cors.allow-origin: "*"
bootstrap.memory_lock: false
bootstrap.system_call_filter: false
## Uncomment the following lines for a production cluster deployment
transport.tcp.port: 9300
cluster.initial_master_nodes: ["node-1","node-2"]
discovery.zen.minimum_master_nodes: 1

es node2 配置文件内容：

cluster.name: elasticsearch_cluster
node.name: node-2
node.master: true
node.data: true
http.port: 9200
network.host: 0.0.0.0
network.publish_host: 192.168.209.161
discovery.zen.ping.unicast.hosts: ["192.168.209.160","192.168.209.161"]
http.host: 0.0.0.0
http.cors.enabled: true
http.cors.allow-origin: "*"
bootstrap.memory_lock: false
bootstrap.system_call_filter: false
## Uncomment the following lines for a production cluster deployment
transport.tcp.port: 9300
cluster.initial_master_nodes: ["node-1","node-2"]
discovery.zen.minimum_master_nodes: 1

启动es:

./elasticsearch

浏览器显示如下信息，es启动成功

{
  "name" : "node-1",
  "cluster_name" : "elasticsearch_cluster",
  "cluster_uuid" : "zEUud3P4RWG6bFVvIAZUag",
  "version" : {
    "number" : "7.6.2",
    "build_flavor" : "default",
    "build_type" : "tar",
    "build_hash" : "ef48eb35cf30adf4db14086e8aabd07ef6fb113f",
    "build_date" : "2020-03-26T06:34:37.794943Z",
    "build_snapshot" : false,
    "lucene_version" : "8.4.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

kibana配置文件内容（直接解压即可运行）：

i18n.locale: "zh-CN" #开启中文界面
server.host: "192.168.209.160"
elasticsearch.hosts: ["http://192.168.209.160:9200"]

kibana控制台执行如下语句：

GET _analyze
{
  "analyzer":"ik_max_word",
  "text":"我叫冯文哲"
}

　　　然后就是动态新增热词了：ik支持http访问远程热词库，但是性能损耗很大，我们直接通过修改Ik源代码实现数据库热词动态更新

　　官网下载对应版本的source(本身就是一个maven工程)，直接导入项目中，为了加快导入速度，可以直接将工程的pom.xml文件中的oss.sonatype.org地址改为阿里云的仓库地址：
　　https://maven.aliyun.com/repository/central

　　如果pom.xml头部报错，直接将本地仓库对应的jar包文件夹删除，重新下载一份
　　ik项目中需要修改的地方：
　　1：pom.xml修改版本号
　　2：config文件夹新增文件：hot-dic-db-source.properties并添加如下内容：

db.url=jdbc:mysql://192.168.1.105:3306/hotdic?useUnicode=true&characterEncoding=utf-8&serverTimezone=GMT%2B8&useSSL=false&allowPublicKeyRetrieval=true
db.username=root
db.password=root
db.reload.mainhotdic.sql=select word from tb_main_hot_dic
db.reload.stopworddic.sql=select word from tb_stopword_dic
db.reload.removeworddic.sql=select word from tb_removeword_dic

　　3:plugin.xml新增mysql依赖：

  <dependencySet>
            <outputDirectory/>
            <useProjectArtifact>true</useProjectArtifact>
            <useTransitiveFiltering>true</useTransitiveFiltering>
            <includes>
                <include>mysql:mysql-connector-java</include>
            </includes>
        </dependencySet>

　　Dictionary类中新增如下内容：
　　

　　private static ScheduledExecutorService hotDictionarytaskPool = Executors.newScheduledThreadPool(1);

public void loadHotDictionary() {
        /**
         * 自定义远程词库加载方法，相当于加载main.dic
         */
        this.loadMainHotDicFromDB();
        /**
         * 加载自定义停用词库，中文介词
         */
        this.loadStopwordDicFromDB();

/**
* 删除_MainDict _StopWords 中的指定内容
*/


this.removeStopwordAndMainHotDicFromDB();
    }

    /**
     * 用于记录配置文件
     *
     */
    private static Properties properties = new Properties();
    /**
     * 一般来说，商业环境中，不会轻易修改数据库，所以注册JDBC驱动使用的是强编码
     */
    static {
        try {
            logger.info("regist database driver");
            DriverManager.registerDriver(new com.mysql.jdbc.Driver());
        } catch (Exception e) {
            // TODO: handle exception
            logger.error("regist database driver error: ", e);
        }
    }

private void removeStopwordAndMainHotDicFromDB() {
Connection connection = null;
Statement stmt = null;
ResultSet rs = null;
try {
/**
* getDictRoot() - Dictionary类中定义的一个用于获取IK基础路径的方法，就是$ES_HOME/plugins/ik
*/
Path file = PathUtils.get(getDictRoot(), "hot-dic-db-source.properties");

properties.load(new FileInputStream(file.toFile()));

logger.info("properties info :" + properties);

connection = DriverManager.getConnection(properties.getProperty("db.url"),

properties.getProperty("db.username"), properties.getProperty("db.password"));

logger.info("connection info :" + connection);

stmt = connection.createStatement();

logger.info("The sql for query remove word dictionary :"
+ properties.getProperty("db.reload.removeworddic.sql"));
rs = stmt.executeQuery(properties.getProperty("db.reload.removeworddic.sql"));
while (rs.next()) {
String word = rs.getString("word");

logger.info("remove word from DB: " + word);
/**
* _MainDict : 是IK中Dictionary类型中定义的一个变量，用于在内存中保存词典信息的对应的是main.dic中的内容
*/
_MainDict.disableSegment(word.trim().toCharArray());
_StopWords.disableSegment(word.trim().toCharArray());
}
} catch (Exception e) {
// TODO: handle exception
logger.error("error:" + e);
} finally {
if (rs != null) {
try {
rs.close();
} catch (Exception e) {
// TODO: handle exception
logger.error("JDBC ResultSet Closing Error : ", e);
}
}
if (stmt != null) {
try {
stmt.close();
} catch (Exception e) {
// TODO: handle exception
logger.error("JDBC Statement Closing Error : ", e);
}
}
if (connection != null) {
try {
connection.close();
} catch (Exception e) {
// TODO: handle exception
logger.error("JDBC Connection Closing Error : ", e);
}
}
}
}

private void loadMainHotDicFromDB() {
        Connection connection = null;
        Statement stmt = null;
        ResultSet rs = null;
        try {
            /**
             * getDictRoot() - Dictionary类中定义的一个用于获取IK基础路径的方法，就是$ES_HOME/plugins/ik
             */
            Path file = PathUtils.get(getDictRoot(), "hot-dic-db-source.properties");

            properties.load(new FileInputStream(file.toFile()));

            logger.info("properties info :" + properties);

            connection = DriverManager.getConnection(properties.getProperty("db.url"),

                    properties.getProperty("db.username"), properties.getProperty("db.password"));

            logger.info("connection info :" + connection);

            stmt = connection.createStatement();

            logger.info("The sql for query main hot dictionary :" + properties.getProperty("db.reload.mainhotdic.sql"));
            rs = stmt.executeQuery(properties.getProperty("db.reload.mainhotdic.sql"));
            while (rs.next()) {
                String word = rs.getString("word");

                logger.info("hot word from DB: " + word);
                /**
                 * _MainDict : 是IK中Dictionary类型中定义的一个变量，用于在内存中保存词典信息的 对应的是main.dic中的内容
                 */
                _MainDict.fillSegment(word.trim().toCharArray());
            }
        } catch (Exception e) {
            // TODO: handle exception
            logger.error("error:" + e);
        } finally {
            if (rs != null) {
                try {
                    rs.close();
                } catch (Exception e) {
                    // TODO: handle exception
                    logger.error("JDBC ResultSet Closing Error : ", e);
                }
            }
            if (stmt != null) {
                try {
                    stmt.close();
                } catch (Exception e) {
                    // TODO: handle exception
                    logger.error("JDBC Statement Closing Error : ", e);
                }
            }
            if (connection != null) {
                try {
                    connection.close();
                } catch (Exception e) {
                    // TODO: handle exception
                    logger.error("JDBC Connection Closing Error : ", e);
                }
            }
        }
    }

    private void loadStopwordDicFromDB() {
        Connection connection = null;
        Statement stmt = null;
        ResultSet rs = null;
        try {
            /**
             * getDictRoot() - Dictionary类中定义的一个用于获取IK基础路径的方法，就是$ES_HOME/plugins/ik
             */
            Path file = PathUtils.get(getDictRoot(), "hot-dic-db-source.properties");

            properties.load(new FileInputStream(file.toFile()));

            logger.info("properties info :" + properties);

            connection = DriverManager.getConnection(properties.getProperty("db.url"),

                    properties.getProperty("db.username"), properties.getProperty("db.password"));

            logger.info("connection info :" + connection);

            stmt = connection.createStatement();

            logger.info(
                    "The sql for query main hot dictionary :" + properties.getProperty("db.reload.stopworddic.sql"));
            rs = stmt.executeQuery(properties.getProperty("db.reload.stopworddic.sql"));
            while (rs.next()) {
                String word = rs.getString("word");

                logger.info("stop word from DB: " + word);
                /**
                 * _MainDict : 是IK中Dictionary类型中定义的一个变量，用于在内存中保存词典信息的 对应的是main.dic中的内容
                 */
                _StopWords.fillSegment(word.trim().toCharArray());
            }
        } catch (Exception e) {
            // TODO: handle exception
            logger.error("error:" + e);
        } finally {
            if (rs != null) {
                try {
                    rs.close();
                } catch (Exception e) {
                    // TODO: handle exception
                    logger.error("JDBC ResultSet Closing Error : ", e);
                }
            }
            if (stmt != null) {
                try {
                    stmt.close();
                } catch (Exception e) {
                    // TODO: handle exception
                    logger.error("JDBC Statement Closing Error : ", e);
                }
            }
            if (connection != null) {
                try {
                    connection.close();
                } catch (Exception e) {
                    // TODO: handle exception
                    logger.error("JDBC Connection Closing Error : ", e);
                }
            }
        }
    }

Dictionary类的initial方法中新增如下内容：

                    hotDictionarytaskPool.scheduleAtFixedRate(new HotDicLoadingTask(), 10, 5, TimeUnit.SECONDS); //定时查询数据库，实际应用中时间可以设置长一些

然后打包项目：

mvn clean package

然后就可以当插件直接解压到linux的plugins目录下了（如果无法连接mysql数据库，请检查是否是数据库权限未开启）

SHOW GRANTS FOR 'root'@'%'
GRANT ALL PRIVILEGES ON `hotdic`.* TO 'root'@'%'

重新启动es可能会报错，因为jdk外部引用有权限问题，修改es目录下的/jdk/conf/security/java.policy
添加如下内容：

 permission java.lang.RuntimePermission  "createClassLoader";
     permission java.lang.RuntimePermission  "setContextClassLoader";
 permission java.lang.RuntimePermission  "getClassLoader";
 permission java.net.SocketPermission       "192.168.1.105:3306","connect,resolve";

ip换成自己的真实ip

数据库创建三张表（还有张tb_removeword_dic//重置hot 和stop 表中的热词）

tb_main_hot_dic表中新增数据：我叫冯文哲
　　
动态更新热词成功，想禁用就在另一张表中加，如果一个词禁用后想再启用，就在tb_removeword_dic表中加入该词（重置数据）（ik必须部署在所有的es节点上）。

动态更新热词后，想要之前的数据生效必须重建索引（后插入的数据可以查询到），重建索引方法：

创建一个格式一样的索引

PUT /fwztest2_index
{"settings": {"number_of_replicas": 1,"number_of_shards": 5}
  , "mappings": {"properties":{"author_id":{"type":"long"},"title":{"type":"text","analyzer":"standard","fields":{"keyword":{"type":"keyword","ignore_above":256}}},"content":{"type":"text","analyzer":"ik_max_word","fields":{"keyword":{"type":"keyword","ignore_above":256}}},"create_date":{"type":"date"}}}
}

执行_reindex方法

POST _reindex
{
  "source": {
    "index": "fwztest_index"
  },
  "dest": {
    "index": "fwztest2_index"
  }
}

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原文地址：https://www.cnblogs.com/fengwenzhee/p/14332474.html

linux环境下elasticsearch+kibana+ik(实现热词自动更新)

修改/etc/security/limits.conf文件 增加配置

修改/etc/security/limits.conf文件增加配置