# 离线安装，下载对应插件zip
# https://github.com/medcl/elasticsearch-analysis-ik
docker cp /opt/elasticsearch-analysis-ik-7.6.2.zip elasticsearch:/opt
docker exec -it elasticsearch bash
cd plugins/
mkdir analysis-ik
unzip -d /usr/share/elasticsearch/plugins/analysis-ik/ /opt/elasticsearch-analysis-ik-7.6.2.zip 
exit
docker restart elasticsearch

# 查看所有索引信息
GET /_cat/indices"htmlcode">

docker exec -it kibana bash
vi config/kibana.yml
########################
# 指定es的地址
elasticsearch.hosts: ["http://172.18.63.211:9200"]
# 中文化
i18n.locale: "zh-CN"
# 修改外网访问 可选
server.host: "0.0.0.0"
exit
########################
docker restart kibana


打开地址：http://172.18.63.211:5601
测试分词工具


POST _analyze
{
 "text": "检测甘蓝型油菜抗磺酰脲类除草剂基因BnALS3R的引物与应用",
 "analyzer": "hanlp"
}


新增索引库


PUT achievement
{
 "settings": {
 "number_of_shards": 1,
 "number_of_replicas": 1
 }
}

PUT achievement/_mapping
{
 "properties": {
 "id": {
  "type": "text"
 },
 "owner": {
  "type": "text"
 },
 "title": {
  "type": "text",
  "analyzer": "hanlp"
 },
 "description": {
  "type": "text",
  "analyzer": "hanlp"
 },
 "update_time":{
  "type": "date"
 }
 }
}




数据同步Logstash
用于收集、解析和转换日志，同步数据等。
安装

docker pull logstash:7.5.0

配置文件目录


mkdir -p /usr/local/logstash/config
cd /usr/local/logstash/config
touch logstash.yml
vi log4j2.properties
#####添加以下内容
logger.elasticsearchoutput.name = logstash.outputs.elasticsearch
logger.elasticsearchoutput.level = debug
#####
vi pipelines.yml
####
- pipeline.id: logstash-match
 path.config: "/usr/share/logstash/config/*.conf"
 pipeline.workers: 3
####


同时需要将MySQL的驱动包放入配置文件中。

再创建配置文件即可
这里给一个例子，是定时同步mysql数据到es中的。*


# logstash-mysql-es.conf
input{
 jdbc{
 jdbc_driver_class => "com.mysql.cj.jdbc.Driver"
 jdbc_connection_string => "jdbc:mysql://172.18.63.211:3306/open_intelligence"
 jdbc_user => "docker"
 jdbc_password => "docker@12345"
 jdbc_paging_enabled => true
 jdbc_page_size => 10000
 jdbc_fetch_size => 10000
 connection_retry_attempts => 3
 connection_retry_attempts_wait_time => 1
 jdbc_pool_timeout => 5
 use_column_value => true
 tracking_column => "update_time"
 tracking_column_type => "timestamp"
 record_last_run => true
 last_run_metadata_path => "/usr/share/logstash/mysql/goods_achievement"
 statement => "select * from goods_achievement where update_time > :sql_last_value"
 schedule => "* */30 * * * *"
 }
}

filter{
 mutate {
 split => { "feature1" => ";" }
 }
 mutate {
 split => { "feature2" => ";" }
 }
 mutate {
 split => { "feature3" => ";" }
 }
}

output {
 elasticsearch {
 document_id => "%{id}"
 index => "goods_achievement"
 hosts => ["http://172.18.63.211:9200"]
 }
}




启动


docker run -d -p 5044:5044 -p 9600:9600 -it -e TZ=Asia/Shanghai --name logstash --restart=always -v /usr/local/logstash/config/:/usr/share/logstash/config/ -v /usr/local/logstash/mysql/:/usr/share/logstash/mysql/ --privileged=true logstash:7.6.2


如果报错了

Error: com.mysql.cj.jdbc.Driver not loaded. :jdbc_driver_library is not set, are you sure you included the proper driver client libraries in your classpath?

可以尝试将驱动器即mysql-connector-java-xxxx-bin.jar拷贝到 logstash目录\logstash-core\lib\jars 下
如：

cd /usr/local/logstash/config
docker cp mysql-connector-java-8.0.17.jar logstash:/usr/share/logstash/logstash-core/lib/jars

检测配置文件

bin/logstash -f /usr/local/logstash/config/mysql-es-patent.conf -t

完成，你可以进行开发了。
以上这篇在Docker中安装Elasticsearch7.6.2的教程就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。