First start the docker background process
systemctl start docker
service docker start
List the images on the machine
docker images
View docker process
docker ps
Start a container from image (run)
The docker run command first creates a writable container from a specific image, and then starts it through the start command. The stopped container can be restarted and retain the original modification. There are many startup parameters for the run command. The following are some general instructions. For more details, please refer to http://www.cnphp6.com/archives/24899.
When using docker run to create a container, the standard operations of Docker running in the background include:
Check whether the specified mirror exists locally, and download it from the public repository if it does not exist.
Create and start a container using the mirror.
Assign a file system and mount a read-write layer outside the read-only mirror layer
. The network bridge configured from the host host The interface bridges a virtual interface to the container to
configure an ip address from the address pool to the container to
execute the user-specified application
and the container is terminated after execution
docker create --name es -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:6.3.2
Create container es based on image file
container start
docker start container_name
View container log
docker logs container_id
View container_id
docker ps -a
View the value of max_map_count
cat /proc/sys/vm/max_map_count
Elasticsearch java minimum memory host machine: sysctl -w vm.max_map_count=262144
Test whether elasticserach is successful
curl -X GET localhost:9200/
Docker and container interactive execution of single or multiple commands
docker exec elasticsearch bash -c "cd /bin/;ls";
Enter the container and execute interactive shell i interactive t terminal
docker exec -it CONTAINER_ID bash
The interaction between attache and -it is different, attach displays the current log output information
ocker attach --sig-proxy=false $container_id
The startup of es in docker is slow, and the memory is 4G
Centos virtual machine cannot access the Internet, there may be no host route
route add 0.0.0.0 netmask 0.0.0.0 gw 192.168. eth0
vg logical volume
lvcreate -L 0.9G vg_data4 -n LVdata4
Level of directory size
du -h --max-depth = 1
Clean up docker space
docker system prune
head plugin
Need to modify the es configuration file after docker pull
vi config/elasticsearch.yml 最下面加上两行http.cors.enabled: true
http.cors.allow-origin: "*"报错："error": "Content-Type header [application/x-www-form-urlencoded] is not supported",解决方法
-H 'Content-Type:application/json'
curl -H 'Content-Type:application/json' -XPOST http://localhost:9200/company/employee/1 -d '{"first_name" : "John","last_name" : "Smith","age" : 25,"about" : "I love to go rock climbing","interests": [ "sports", "music" ]}'
**Installation of word segmentation IK must be consistent with the version of es
If the docker container cannot start after modifying the file, the simple recovery method is to delete the container, and then recreate the container through image create
Insert data
curl -X PUT http://localhost:9200/index2/ Create index
curl -H'Content-Type:application/json' -XPOST http://localhost:9200/index2/_analyze -d'{"analyzer":"ik_max_word","text": ["Book copyright, short book copyright belongs to Author owned "]}'
query DSL 查询
curl -X GET localhost:9200/index2/_search '{ "query": { "match_all": {} },; "_source": ["text"]; }'
1. User_id is of string type, but its index is defined as "not_analzyed". This needs to be understood: usually, the full-text search function in the search engine is simply implemented as follows: the original document is used after word segmentation These words are used to establish an inverted index. When searching online, the user's query words are segmented, and the word segmentation results are used to pull the zipper results of multiple inverted indexes, merge, and rank the relevance to obtain the final result. However, for some string type fields, I actually don’t want to create an inverted row, I just want to match exactly, such as the user’s name, I only want to find the person whose name field is exactly "Zhang San" instead of "Zhang" after word segmentation. Four" and "Li San" two people, this time, you need to define the index type field. There are three types of this field: no, analyzed, and not_analyzed. No means that this field is not indexed at all. Analyzed is built by analysis and full-text search, and not_analyzed is a query method that exactly matches keywords.