Docker deploys ElasticSearch database + analysis-ik word segmenter plug-in

1. Deploy the ElasticSearch database

1. Preparation

docker pull docker.elastic.co/elasticsearch/elasticsearch:7.17.6
Pwd="/data/software/elasticsearch/"
mkdir ${Pwd}/{
    
    data,plugins,config,logs} -p
chmod  -R 777 ${Pwd}
echo "vm.max_map_count=262144" >> /etc/sysctl.conf

2. Create configuration file

cat > ${Pwd}/config/elasticsearch.yml << EOF
cluster.name: "docker-cluster"
network.host: 0.0.0.0
EOF

3. Run the container

docker run -itd --name elasticsearch \
    -v ${Pwd}/data:/usr/share/elasticsearch/data \
    -v ${Pwd}/plugins:/usr/share/elasticsearch/plugins \
    -v ${Pwd}/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
    -v ${Pwd}/logs:/usr/share/elasticsearch/logs \
    -v /etc/localtime:/etc/localtime \
    -v /etc/sysctl.conf:/etc/sysctl.conf \
    -e ES_JAVA_OPTS="-Xms512m -Xmx512m" \
    -e "node.name=es1" \
    -e "discovery.seed_hosts=es1" \
    -e "cluster.initial_master_nodes=es1" \
    -e "http.host=0.0.0.0" \
    -p 9200:9200 \
    -p 9300:9300 \
    --privileged \
    --restart=always \
    docker.elastic.co/elasticsearch/elasticsearch:7.17.6

4. Settings vm.max_map_countto prevent startup failure

docker exec -it elasticsearch sysctl -w vm.max_map_count=262144

2. Add word segmentation plug-in (analysis-ik)

1. First download the specified version of the analysis-ik word segmenter analysis -ik download address from

github (corresponding to the ES version) 2. cp the download package into the container && install the plug-in

docker cp elasticsearch-analysis-ik-7.17.6.zip elasticsearch:/tmp
docker exec -it elasticsearch /bin/bash
cd bin
./elasticsearch-plugin install file:///tmp/elasticsearch-analysis-ik-7.17.6.zip 

-> Installing file:///tmp/elasticsearch-analysis-ik-7.17.6.zip
-> Downloading file:///tmp/elasticsearch-analysis-ik-7.17.6.zip
[=================================================] 100%?? 
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
@     WARNING: plugin requires additional permissions     @
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
* java.net.SocketPermission * connect,resolve
See https://docs.oracle.com/javase/8/docs/technotes/guides/security/permissions.html
for descriptions of what these permissions allow and the associated risks.

Continue with installation? [y/N]y #  输入Y
-> Installed analysis-ik
-> Please restart Elasticsearch to activate any plugins installed

3. Restart elasticsearch after the installation is complete.

docker restart elasticsearch

3. Test the ElasticSearch database + analysis-ik word segmenter plug-in

PostmanIn order to facilitate testing, I use tools to test here :

1. Test the ElasticSearch database

2. View installed plug-ins

3. Verify whether the word segmentation function is normal,
create a test index,

and conduct word segmentation testing.

Test using curl command in server:

1. Test the ElasticSearch database

curl http://16.32.15.115:9200

{
    
    
  "name" : "es1",
  "cluster_name" : "docker-cluster",
  "cluster_uuid" : "dC8v3zOoQgGWqgt0smdKtw",
  "version" : {
    
    
    "number" : "7.17.6",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "f65e9d338dc1d07b642e14a27f338990148ee5b6",
    "build_date" : "2022-08-23T11:08:48.893373482Z",
    "build_snapshot" : false,
    "lucene_version" : "8.11.1",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

2. View installed plug-ins

curl http://16.32.15.115:9200/_cat/plugins

es1 analysis-ik 7.17.6

3. Verify whether the word segmenter function is normal
and create a test2 index.

curl -XPUT http://16.32.15.115:9200/test2/

{
    
    "acknowledged":true,"shards_acknowledged":true,"index":"test2"}

Carry out word segmentation test

curl -X POST -H "Content-Type: application/json" -d '{
    
    
  "analyzer": "ik_smart",
  "text": "社会你腾哥，人狠话不多！！！"
}' http://16.32.15.115:9200/test2/_analyze --silent | jq

Note: In order to display the returned json data, I added --silent | jqthe parameter. This parameter requires the jq command to be installed. If the parameter is not removed, it will be fine.

• –silent parameter: used to suppress the display of progress bars and error messages:
• | jq command: Pass the result returned by curl to the jq command through the pipe symbol for JSON data processing.

Return content:

{
    
    
  "tokens": [
    {
    
    
      "token": "社会",
      "start_offset": 0,
      "end_offset": 2,
      "type": "CN_WORD",
      "position": 0
    },
    {
    
    
      "token": "你",
      "start_offset": 2,
      "end_offset": 3,
      "type": "CN_CHAR",
      "position": 1
    },
    {
    
    
      "token": "腾",
      "start_offset": 3,
      "end_offset": 4,
      "type": "CN_CHAR",
      "position": 2
    },
    {
    
    
      "token": "哥",
      "start_offset": 4,
      "end_offset": 5,
      "type": "CN_CHAR",
      "position": 3
    },
    {
    
    
      "token": "人",
      "start_offset": 6,
      "end_offset": 7,
      "type": "CN_CHAR",
      "position": 4
    },
    {
    
    
      "token": "狠",
      "start_offset": 7,
      "end_offset": 8,
      "type": "CN_CHAR",
      "position": 5
    },
    {
    
    
      "token": "话",
      "start_offset": 8,
      "end_offset": 9,
      "type": "CN_CHAR",
      "position": 6
    },
    {
    
    
      "token": "不多",
      "start_offset": 9,
      "end_offset": 11,
      "type": "CN_WORD",
      "position": 7
    }
  ]
}