docker 報錯

1. 查看原因

docker logs nexus

2. 報錯原因

OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000e7000000, 419430400, 0) failed; error=‘Cannot allocate memory’ (errno=12) # # There is insufficient memory for the Java Runtime Environment to continue. # Native memory allocation (mmap) failed to map 419430400 bytes for committing reserved memory. # An error report file with more information is saved as: # /opt/sonatype/nexus/hs_err_pid1.log

補充知識：Docker 安裝運行 ElasticSearch 遇到的問題！

在創(chuàng)建 6.4.3版本的 ES 以后啟動發(fā)現(xiàn)過了一會 ES 自動退出了。

原因好像是 ES 的默認(rèn)分配的內(nèi)存太大了。進(jìn)程被自動殺死了。

所以以下我來記錄下這坑：

使用ES工具類索引時運行測試方法時報錯

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

發(fā)現(xiàn)使用SpringBoot 2.x的版本導(dǎo)入的ES的包與Docker 上安裝的 ES 版本不兼容的問題。

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

Docker安裝的ES版本為：5.6.12

查看官方文檔的適配關(guān)系：

發(fā)現(xiàn) 3.1.X 對應(yīng)需要ES 6.2.2版本以上

我項目整合的ES的Jar包為6.4.3

然后我們在Docker 安裝 6.4.3版本的 ES

我們使用 Docker 中國官方鏡像加速：

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

下載完畢后我們創(chuàng)建容器并啟動：

//列出本地所有鏡像 # docker imagesREPOSITORY TAG IMAGE ID CREATED SIZEregistry.docker-cn.com/library/rabbitmq 3-management 92682ab7dca0 12 days ago 212MBregistry.docker-cn.com/library/elasticsearch 6.4.3 01e5bee1e059 4 months ago 795MBregistry.docker-cn.com/library/elasticsearch latest 5acf0e8da90b 5 months ago 486MB

由于ES版本在 5.0 以后默認(rèn)分配的內(nèi)存是 2G 創(chuàng)建Docker啟動時需要 1G 所以我們可以參數(shù)上設(shè)置它的環(huán)境變量：

也可以更改對應(yīng)的 jvm.options 配置

我們創(chuàng)建運行 6.4.3 的ES

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

然后出現(xiàn)了下列情況以后，ES 容器自動停止了。：

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 checksERROR: [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

輸出了一下錯誤日志，大致翻譯了一下看到了這句話：

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

說是 最大虛擬內(nèi)存區(qū) vm.max_map_count 設(shè)置的 65530 太低，至少要增加到 262144

網(wǎng)上百度了一下設(shè)置方法：

# sudo sysctl -w vm.max_map_count=262144

然后我們再來啟動 ES

# docker start ES02

過一會我們再來查看它的狀態(tài)：

# docker ps -aCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMESbdaed6794ca6 5acf0e8da90b '/docker-entrypoint.…' 5 minutes ago Exited (130) 6 seconds ago ES017d2dcc5512ee 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 ES02d372501cc505 92682ab7dca0 'docker-entrypoint.s…' 4 days ago Exited (0) 22 hours ago myrabbitmq

發(fā)現(xiàn)是正常啟動的以后我們來訪問一下 http 對應(yīng)的端口：

http://192.168.235.128:9201/

發(fā)現(xiàn)我們安裝的 6.4.3 版本的 ES 就沒有問題了。

以上這篇docker 報錯 Exited (1) 4 minutes ago的原因分析就是小編分享給大家的全部內(nèi)容了，希望能給大家一個參考，也希望大家多多支持好吧啦網(wǎng)。