Shulou(Shulou.com)06/02 Report--

1. Preface

Elasticsearch is quite popular now, and many companies are using it, so if you don't know about es, it may be despised. So here I made up my mind to learn es, I prefer docker so I use docker to install es, here will describe the details of the installation and need to pay attention to. I'm not going to explain the installation of docker here, you can install it by yourself, it's very simple, I'm sure you may really fall in love with it. The computer I use here is MacBook Pro, if it is linux, it is basically the same, but if it is Windows, it may be different. I have not actually operated it here, and those who are interested can try it on their own.

2.ElasticSearch installation

2.1 docker install es

To use es must need to install, because I am used to using docker, so I also want to try it on docker, mainly because I have a lot of software and choose docker. Docker installation is actually very simple, as for one line of command. Here, I choose the 7.2.0 image installation of es. The specific installation commands are as follows:

Docker pull elasticsearch:7.2.0

Enter after typing the command, just wait for the download with the image to be completed.

2.2 start es

After the installation is completed, of course, we need to start our es, and it is also very convenient to start here with one line of command. It is as follows:

Docker run-- name elasticsearch-p 9200 discovery.type=single-node 9200-p 9300 discovery.type=single-node 9300-d elasticsearch:7.2.0

So the es starts up. We can check to see if the es installation is complete, and we can enter the command:

Curl http://localhost:9200

Or open the http://localhost:9200 URL in the browser, and if you can see the following message, it means that our es has been installed.

{"name": "530dd7820315", "cluster_name": "docker-cluster", "cluster_uuid": "7O0fjpBJTkmn_axwmZX0RQ", "version": {"number": "7.2.0", "build_flavor": "default", "build_type": "docker", "build_hash": "508c38a", "build_date": "2019-06-20T15:54:18.811730Z" "build_snapshot": false, "lucene_version": "8.0.0", "minimum_wire_compatibility_version": "6.8.0", "minimum_index_compatibility_version": "6.0.0-beta1"}, "tagline": "You Know, for Search"}

If you install it on a server, you must also open port 9200 of your server to access it, and then change localhost to your server's ip address.

2.3 modify the configuration to resolve cross-domain access issues

First go to the container, and then go to the specified directory to modify the elasticsearch.yml file.

Docker exec-it elasticsearch/ bin/bashcd / usr/share/elasticsearch/config/vi elasticsearch.yml

Add the following at the end of the elasticsearch.yml file:

Http.cors.enabled: truehttp.cors.allow-origin: "*"

Restart the container after modifying the configuration.

Docker restart elasticsearch

2.4 install the ik word splitter

Es's built-in word splitter is not very friendly to Chinese word segmentation, so we download the open source IK word splitter to solve this problem. First, go to the plugins directory to download the word splitter, then decompress it after the download is complete, and then restart es. The specific steps are as follows:

Note: the version of elasticsearch needs to be consistent with the version of ik splitter, otherwise it will fail when rebooting. You can view all versions here and select the right-click copy link address for your own version. Click here.

Cd / usr/share/elasticsearch/plugins/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.2.0/elasticsearch-analysis-ik-7.2.0.zipexitdocker restart elasticsearch

You can then verify that the installation is successful in the dev tools of the kibana interface

POST test/_analyze {"analyzer": "ik_max_word", "text": "Hello, I am Dongye Jiafly"}

If you don't add "analyzer": "ik_max_word", it's a word segmentation. You can try it after the kibana installation below is complete.

3.kibana installation

3.1 docker install kibana

The same applies to the docker installation kibana command as follows:

Docker pull kibana:7.2.0

Just wait for all the images to be downloaded.

3.2 start kibana

After the installation, you need to start the kibana container and use-- link to connect to the elasticsearch container. The command is as follows:

Docker run-- name kibana-- link=elasticsearch:test-p 5601 link=elasticsearch:test-d kibana:7.2.0docker start kibana

After startup, you can open a browser and enter http://localhost:5601 to open the interface of kibana.

4. Conclusion

Isn't it easy to install es and kibana after the above steps? This is one of the good uses of docker, and it is also one of the reasons why I prefer docker. Of course, docker is much more than these functions, and we will write more about it later. In short, we can definitely use it. Ha ha

The above is the whole content of this article, I hope it will be helpful to your study, and I also hope that you will support it.

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