docker运行ElasticSearch

末蓝、 2022-12-06 01:17 192阅读 0赞

## 拉取最新版镜像 ##

下载最新版ElasticSearch

docker pull elasticsearch

默认会使用latestd的tag拉取最新版本，但是报错了

Using default tag: latest
    Error response from daemon: manifest for elasticsearch:latest not found: manifest unknown: manifest unknown

大致意思是，找不最新版？what，那我们手动指定版本

docker search没有提供查看所有版本的能力，我们可以去华为云的官方地址上查看最新版本[https://mirrors.huaweicloud.com/elasticsearch/][https_mirrors.huaweicloud.com_elasticsearch]

目前最新版是7.8.0，ok我们指定版本为7.8.0

[root@qcy ~]# docker pull elasticsearch:7.8.0
    7.8.0: Pulling from library/elasticsearch
    524b0c1e57f8: Pull complete 
    7a096b8f20be: Pull complete 
    9dd8117fbfec: Pull complete 
    335891dbdd0e: Pull complete 
    dfce820717b4: Pull complete 
    82d3459719f7: Pull complete 
    2e79822fece3: Pull complete 
    2f80b981dd6a: Pull complete 
    05f8a08da0ba: Pull complete

好了，镜像拉取下来了

接着我们运行他

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## 运行 ##

docker run -d -p 9200:9200 -p 9300:9300 --name elastic_search elasticsearch:7.8.0

Elasticsearch 分web（9200）和tcp（9300）两种对外服务接口

docker ps 发现没有启动起来，于是使用docker logs -f 容器id查看日志，发现

Exception in thread "main" java.lang.RuntimeException: starting java failed with [1]
    output:
    #
    # There is insufficient memory for the Java Runtime Environment to continue.
    # Native memory allocation (mmap) failed to map 1073741824 bytes for committing reserved memory.
    # An error report file with more information is saved as:
    # logs/hs_err_pid132.log
    error:
    OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000c0000000, 1073741824, 0) failed; error='Not enough space' (errno=12)
    	at org.elasticsearch.tools.launchers.JvmErgonomics.flagsFinal(JvmErgonomics.java:126)
    	at org.elasticsearch.tools.launchers.JvmErgonomics.finalJvmOptions(JvmErgonomics.java:88)
    	at org.elasticsearch.tools.launchers.JvmErgonomics.choose(JvmErgonomics.java:59)
    	at org.elasticsearch.tools.launchers.JvmOptionsParser.jvmOptions(JvmOptionsParser.java:137)
    	at org.elasticsearch.tools.launchers.JvmOptionsParser.main(JvmOptionsParser.java:95)

看得出来，该版本至少要求JVM拥有1G的内存。可在阿里云上，内存十分的珍贵，这个时候我们可以修改jvm运行的最小内存。

--------------------

## 修改JVM内存 ##

首先找到jvm.options文件

[root@qcy ~]# find / -name jvm.options
    /var/lib/docker/overlay2/a0dd29c922a8c18e3aac1f569b53641e72dc6f16d76be8e84b04a4e2899f5d2a/diff/usr/share/elasticsearch/config/jvm.options

可以看到，默认要求是1g，云主机上可没那么多的内存，所以就给他128MB吧，呜呜呜

[root@qcy ~]# vi /var/lib/docker/overlay2/a0dd29c922a8c18e3aac1f569b53641e72dc6f16d76be8e84b04a4e2899f5d2a/diff/usr/share/elasticsearch/config/jvm.options

# Xms represents the initial size of total heap space
    # Xmx represents the maximum size of total heap space
    
    -Xms128m
    -Xmx128m

保存，使用docker start 容器id 启动容器试试

当然，也可以在启动时，使用-e指定jvm内存

docker run -d -p 9200:9200 -p 9300:9300 -e ES_JAVA_POTS="-Xms128m -Xmx128m" --name elastic_search elasticsearch:7.8.0

纳尼？启动还是报错

ERROR: [2] bootstrap checks failed
    [1]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]
    [2]: the default discovery settings are unsuitable for production use; at least one of [discovery.seed_hosts, discovery.seed_providers, cluster.initial_master_nodes] must be configured
    ERROR: Elasticsearch did not exit normally - check the logs at /usr/share/elasticsearch/logs/docker-cluster.log
    {"type": "server", "timestamp": "2020-09-11T08:23:09,586Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "793a3c13cb16", "message": "stopping ..." }
    {"type": "server", "timestamp": "2020-09-11T08:23:09,606Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "793a3c13cb16", "message": "stopped" }
    {"type": "server", "timestamp": "2020-09-11T08:23:09,606Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "793a3c13cb16", "message": "closing ..." }
    {"type": "server", "timestamp": "2020-09-11T08:23:09,627Z", "level": "INFO", "component": "o.e.n.Node", "cluster.name": "docker-cluster", "node.name": "793a3c13cb16", "message": "closed" }
    {"type": "server", "timestamp": "2020-09-11T08:23:09,629Z", "level": "INFO", "component": "o.e.x.m.p.NativeController", "cluster.name": "docker-cluster", "node.name": "793a3c13cb16", "message": "Native controller process has stopped - no new native processes can be started" }

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## 提升进程的虚拟内存空间 ##

修改sysctl.conf配置

vi /etc/sysctl.conf

在最后一行添加

> vm.max\_map\_count=262144

接着

[root@qcy ~]# sysctl -p

sysctl -p 的意思是从指定的文件加载系统参数，如不指定即从/etc/sysctl.conf中加载

这次再启动，应该没什么问题了吧？

然鹅，事实是报了一个新的错误

ERROR: [1] bootstrap checks failed
    [1]: the default discovery settings are unsuitable for production use; at least one of [discovery.seed_hosts, discovery.seed_providers, cluster.initial_master_nodes] must be configured
    ERROR: Elasticsearch did not exit normally - check the logs at /usr/share/elasticsearch/logs/docker-cluster.log

--------------------

## 配置为单机 ##

由于我们暂时是单机部署的，需要指定为单节点模式，修改启动命令，加上-e "discovery.type=single-node"

docker run -d -p 9200:9200 -p 9300:9300 -e ES_JAVA_POTS="-Xms128m -Xmx128m" -e "discovery.type=single-node" --name elastic_search elasticsearch:7.8.0

再次启动，终于不报错了，舒服了。

--------------------

## 检查服务运行情况 ##

如果是云主机上，记得在防火墙中开放9200端口。这个时候访问ip:9200，可以得到以下信息：

{
      "name" : "6a3a276b4e66",
      "cluster_name" : "docker-cluster",
      "cluster_uuid" : "62g1XzSxSGWGH3VU4sbQog",
      "version" : {
        "number" : "7.8.0",
        "build_flavor" : "default",
        "build_type" : "docker",
        "build_hash" : "757314695644ea9a1dc2fecd26d1a43856725e65",
        "build_date" : "2020-06-14T19:35:50.234439Z",
        "build_snapshot" : false,
        "lucene_version" : "8.5.1",
        "minimum_wire_compatibility_version" : "6.8.0",
        "minimum_index_compatibility_version" : "6.0.0-beta1"
      },
      "tagline" : "You Know, for Search"
    }

说明服务运行正常

[https_mirrors.huaweicloud.com_elasticsearch]: https://mirrors.huaweicloud.com/elasticsearch/