Docker 安装运行 ElasticSearch 遇到的问题!

在创建 6.4.3版本的 ES 以后启动发现过了一会 ES 自动退出了。

原因好像是 ES 的默认分配的内存太大了。进程被自动杀死了。

所以以下我来记录下这坑:

 

使用ES工具类索引时运行测试方法时报错

org.elasticsearch.transport.ConnectTransportException: [][192.168.235.9300] connect_timeout[30s]

发现使用SpringBoot 2.x的版本导入的ES的包与Docker 上安装的 ES 版本不兼容的问题。

SpringBoot 2.1.3版本引入的Spring-Data-ES包为:3.1.5

Docker 安装运行 ElasticSearch 遇到的问题!_第1张图片

Docker安装的ES版本为:5.6.12

Docker 安装运行 ElasticSearch 遇到的问题!_第2张图片

查看官方文档的适配关系:

Docker 安装运行 ElasticSearch 遇到的问题!_第3张图片

发现 3.1.X 对应需要ES 6.2.2版本以上

我项目整合的ES的Jar包为6.4.3

然后我们在Docker 安装 6.4.3版本的 ES

我们使用 Docker 中国官方镜像加速:

# docker pull registry.docker-cn.com/library/elasticsearch:6.4.3

下载完毕后我们创建容器并启动:

//列出本地所有镜像

# docker images
REPOSITORY                                     TAG                 IMAGE ID            CREATED             SIZE
registry.docker-cn.com/library/rabbitmq        3-management        92682ab7dca0        12 days ago         212MB
registry.docker-cn.com/library/elasticsearch   6.4.3               01e5bee1e059        4 months ago        795MB
registry.docker-cn.com/library/elasticsearch   latest              5acf0e8da90b        5 months ago        486MB

由于ES版本在 5.0 以后默认分配的内存是 2G 创建Docker启动时需要 1G 所以我们可以参数上设置它的环境变量:   

也可以更改对应的  jvm.options  配置

我们创建运行  6.4.3 的ES

# docker run -e ES_JAVA_OPTS="-Xms256m -Xmx256m" -d -p 9201:9200 -p 9301:9300 --name ES02 01e5bee1e059

然后出现了下列情况以后,ES 容器自动停止了。:

OpenJDK 64-Bit Server VM warning: Option UseConcMarkSweepGC was deprecated in version 9.0 and will likely be removed in a future release.
[2019-03-06T03:29:17,534][INFO ][o.e.n.Node               ] [] initializing ...
[2019-03-06T03:29:17,680][INFO ][o.e.e.NodeEnvironment    ] [gV0jbyu] using [1] data paths, mounts [[/ (rootfs)]], net usable_space [13.6gb], net total_space [16.9gb], types [rootfs]
[2019-03-06T03:29:17,681][INFO ][o.e.e.NodeEnvironment    ] [gV0jbyu] heap size [247.6mb], compressed ordinary object pointers [true]
[2019-03-06T03:29:17,690][INFO ][o.e.n.Node               ] [gV0jbyu] node name derived from node ID [gV0jbyuBSrmiqJJ8p524XA]; set [node.name] to override
[2019-03-06T03:29:17,691][INFO ][o.e.n.Node               ] [gV0jbyu] version[6.4.3], pid[1], build[default/tar/fe40335/2018-10-30T23:17:19.084789Z], OS[Linux/3.10.0-957.5.1.el7.x86_64/amd64], JVM["Oracle Corporation"/OpenJDK 64-Bit Server VM/10.0.2/10.0.2+13]
[2019-03-06T03:29:17,691][INFO ][o.e.n.Node               ] [gV0jbyu] JVM arguments [-Xms1g, -Xmx1g, -XX:+UseConcMarkSweepGC, -XX:CMSInitiatingOccupancyFraction=75, -XX:+UseCMSInitiatingOccupancyOnly, -XX:+AlwaysPreTouch, -Xss1m, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true, -XX:-OmitStackTraceInFastThrow, -Dio.netty.noUnsafe=true, -Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Djava.io.tmpdir=/tmp/elasticsearch.GVv4IesY, -XX:+HeapDumpOnOutOfMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m, -Djava.locale.providers=COMPAT, -XX:UseAVX=2, -Des.cgroups.hierarchy.override=/, -Xms256m, -Xmx256m, -Des.path.home=/usr/share/elasticsearch, -Des.path.conf=/usr/share/elasticsearch/config, -Des.distribution.flavor=default, -Des.distribution.type=tar]
[2019-03-06T03:29:22,164][INFO ][o.e.p.PluginsService     ] [gV0jbyu] loaded module [aggs-matrix-stats]
.
.
.
[2019-03-06T03:29:26,129][WARN ][o.e.d.s.ScriptModule     ] Script: returning default values for missing document values is deprecated. Set system property '-Des.scripting.exception_for_missing_value=true' to make behaviour compatible with future major versions.
[2019-03-06T03:29:30,804][INFO ][o.e.x.s.a.s.FileRolesStore] [gV0jbyu] parsed [0] roles from file [/usr/share/elasticsearch/config/roles.yml]
[2019-03-06T03:29:31,986][INFO ][o.e.x.m.j.p.l.CppLogMessageHandler] [controller/62] [Main.cc@109] controller (64 bit): Version 6.4.3 (Build 7a0781676dd492) Copyright (c) 2018 Elasticsearch BV
[2019-03-06T03:29:32,929][INFO ][o.e.d.DiscoveryModule    ] [gV0jbyu] using discovery type [zen]
[2019-03-06T03:29:34,282][INFO ][o.e.n.Node               ] [gV0jbyu] initialized
[2019-03-06T03:29:34,283][INFO ][o.e.n.Node               ] [gV0jbyu] starting ...
[2019-03-06T03:29:34,625][INFO ][o.e.t.TransportService   ] [gV0jbyu] publish_address {172.17.0.2:9300}, bound_addresses {0.0.0.0:9300}
[2019-03-06T03:29:34,656][INFO ][o.e.b.BootstrapChecks    ] [gV0jbyu] bound or publishing to a non-loopback address, enforcing bootstrap checks
ERROR: [1] bootstrap checks failed
[1]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]
[2019-03-06T03:29:34,721][INFO ][o.e.n.Node               ] [gV0jbyu] stopping ...
[2019-03-06T03:29:34,760][INFO ][o.e.n.Node               ] [gV0jbyu] stopped
[2019-03-06T03:29:34,760][INFO ][o.e.n.Node               ] [gV0jbyu] closing ...
[2019-03-06T03:29:34,778][INFO ][o.e.n.Node               ] [gV0jbyu] closed
[2019-03-06T03:29:34,780][INFO ][o.e.x.m.j.p.NativeController] Native controller process has stopped - no new native processes can be started

输出了一下错误日志,大致翻译了一下看到了这句话:

[1]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

说是 最大虚拟内存区 vm.max_map_count 设置的 65530 太低,至少要增加到 262144

网上百度了一下设置方法:

# sudo sysctl -w vm.max_map_count=262144

然后我们再来启动 ES 

# docker start ES02

过一会我们再来查看它的状态:

# docker ps -a
CONTAINER ID        IMAGE               COMMAND                  CREATED             STATUS                       PORTS                                            NAMES
bdaed6794ca6        5acf0e8da90b        "/docker-entrypoint.…"   5 minutes ago       Exited (130) 6 seconds ago                                                    ES01
7d2dcc5512ee        01e5bee1e059        "/usr/local/bin/dock…"   3 hours ago         Up 15 minutes                0.0.0.0:9201->9200/tcp, 0.0.0.0:9301->9300/tcp   ES02
d372501cc505        92682ab7dca0        "docker-entrypoint.s…"   4 days ago          Exited (0) 22 hours ago                                                       myrabbitmq

发现是正常启动的以后我们来访问一下 http 对应的端口:

http://192.168.235.128:9201/

Docker 安装运行 ElasticSearch 遇到的问题!_第4张图片

发现我们安装的 6.4.3 版本的 ES 就没有问题了。

 

参考:https://blog.csdn.net/zysgdhf4253/article/details/80961116

你可能感兴趣的:(Docker,ElasticSearch)