elasticsearch docker（在Docker中安装Elasticsearch7.6.2的教程）

# 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?pretty
# 节点监控
GET /_cat/health?pretty
# 安装了哪些插件
GET _cat/plugins

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

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"
}

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"
 }
 }
}

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
####

# 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?characterEncoding=utf8&serverTimezone=Asia/Shanghai"
 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"]
 }
}

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