如何使用官方docker elasticsearch容器？ [英] How to use the official docker elasticsearch container?

问题描述

我有以下Dockerfile：

I have the following Dockerfile:

FROM docker.elastic.co/elasticsearch/elasticsearch:5.4.0
RUN elasticsearch
EXPOSE 80

我认为第三行从未达到。

I think the 3rd line is never reached.

当我尝试通过以下方式从本地计算机访问dockercontainer时：
172.17.0.2:9300

When I try to access the dockercontainer from my local machine through: 172.17.0.2:9300

I一无所获，我想念什么？我想从本地主机访问elasticsearch。

I get nothing, what am I missing? I want to access elasticsearch from the local host machine.

推荐答案

我建议使用docker-compose（这会使很多事情变得更加容易），配置如下。

I recommend using docker-compose (which makes lot of things much easier) with following configuration.

配置启动3种服务：弹性自身和额外的实用程序
开发，例如kibana和head插件（如果不需要它们，可以省略）。

Configuration starts 3 services: elastic itself and extra utilities for development like kibana and head plugin (these could be omitted, if you don't need them).

在同一目录中，您将需要三个文件：

In the same directory you will need three files:

• docker-compose.yml


• elasticsearch.yml


• 木瓜。 yml

具有以下内容：

docker-compose。 yml

version: '2'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:5.4.0
    container_name: elasticsearch_540
    environment:
      - http.host=0.0.0.0
      - transport.host=0.0.0.0
      - "ES_JAVA_OPTS=-Xms1g -Xmx1g"
    volumes:
      - esdata:/usr/share/elasticsearch/data
      - ./elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
    ports:
      - 9200:9200
      - 9300:9300
    ulimits:
      memlock:
        soft: -1
        hard: -1
      nofile:
        soft: 65536
        hard: 65536
    mem_limit: 2g
    cap_add:
      - IPC_LOCK
  kibana:
    image: docker.elastic.co/kibana/kibana:5.4.0
    container_name: kibana_540
    environment:
      - SERVER_HOST=0.0.0.0
    volumes:
      - ./kibana.yml:/usr/share/kibana/config/kibana.yml
    ports:
      - 5601:5601
  headPlugin:
    image: mobz/elasticsearch-head:5
    container_name: head_540
    ports:
      - 9100:9100

volumes:
  esdata:
    driver: local

elasticsearch.yml

cluster.name: "chimeo-docker-cluster"
node.name: "chimeo-docker-single-node"
network.host: 0.0.0.0

http.cors.enabled: true
http.cors.allow-origin: "*"
http.cors.allow-headers: "Authorization"

kibana.yml

server.name: kibana
server.host: "0"
elasticsearch.url: http://elasticsearch:9200
elasticsearch.username: elastic
elasticsearch.password: changeme
xpack.monitoring.ui.container.elasticsearch.enabled: true

正在运行

在上述三个文件中该目录和该目录设置为您当前的工作目录（可能需要sudo，取决于您如何设置docker-compose）：

Running

With above three files in the same directory and that directory set as current working directory you do (could require sudo, depends how you have your docker-compose set up):

docker-compose up

它将启动，您将看到来自三个不同服务的日志： elasticsearch_540 ， kibana_540 和 head_540 。

It will start up and you will see logs from three different services: elasticsearch_540, kibana_540 and head_540.

初次启动后，您的弹性集群可用于 9200 下的http和 930下的tcp 0 。如果群集已启动，请使用以下curl进行验证：

After initial start up you will have your elastic cluster available for http under 9200 and for tcp under 9300. Validate with following curl if the cluster started up:

curl -u elastic:changeme http://localhost:9200/_cat/health 

然后，您可以使用任何一个kibana（具有弹性/ changeme凭据）查看和玩集群：

Then you can view and play with your cluster using either kibana (with credentials elastic / changeme):

http://localhost:5601/

或头插件：

http://localhost:9100/?base_uri=http://localhost:9200&auth_user=elastic&auth_password=changeme

这篇关于如何使用官方docker elasticsearch容器？的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！