我使用的是腾讯的云服务器1核心2G内存，安装的有MySQL数据库，elasticsearch 启动后剩余的内存就捉襟见肘了，为了运行其他服务，需要停止 elasticsearch 服务，这个时候我才发现 elasticsearch 根本就不希望大家停止掉自己【没有停止服务的命令】这里总结一下：
1. 直接启动与停止
启动：
# 切换到 elasticsearch 用户
[root@tcloud ~]# su elasticsearch
# 一般启动
bash-4.2$ /usr/local/elasticsearch/bin/elasticsearch
# 后台启动
bash-4.2$ /usr/local/elasticsearch/bin/elasticsearch -d
停止：
# 一般启动 Ctrl c 【很多非后台启动的服务都是这样停止的】
[root@tcloud bin]#
[2021-08-03T17:11:25,733][INFO ][o.e.x.m.j.p.NativeController] Native controller process has stopped - no new native processes can be started
[2021-08-03T17:11:25,735][INFO ][o.e.n.Node ] [M_rq0Xz] stopping ...
[2021-08-03T17:11:25,743][INFO ][o.e.x.w.WatcherService ] [M_rq0Xz] stopping watch service, reason [shutdown initiated]
[2021-08-03T17:11:25,955][INFO ][o.e.n.Node ] [M_rq0Xz] stopped
[2021-08-03T17:11:25,955][INFO ][o.e.n.Node ] [M_rq0Xz] closing ...
[2021-08-03T17:11:25,976][INFO ][o.e.n.Node ] [M_rq0Xz] closed
# 后台启动
# 查询 elasticsearch 的相关线程【多个】
[root@tcloud bin]# ps -ef | grep elastic
# 停止所有 elasticsearch 相关线程【多个】
[root@tcloud bin]# kill -9 ***
2. 使用PID启动与停止【当然也可以不用shell脚本 直接使用命令】
2.1 配置
前边的方法停止的时候查询到的线程ID是多个，这里只用停掉PID即可，我们编写一个shell脚本来实现启动和停止：
# 添加 pid
[root@tcloud ~]# vim /usr/local/elasticsearch/pid
# 写入pid值
# 我写的是 831717
# 将 pid 文件转到 elasticsearch 用户下【这个很重要】
[root@tcloud elasticsearch]# chown -R elasticsearch ./pid
[root@tcloud elasticsearch]# chgrp -R elasticsearch ./pid
# 添加 elasticsearch.sh 脚本文件
[root@tcloud ~]# vim /usr/local/elasticsearch/elasticsearch.sh
elasticsearch.sh 文件的内容如下：
#!/bin/bash
if [ $# -ne 1 ]
then
echo "args number is error!!!"
exit
fi
case $1 in
"start")
echo "============启动ElasticSearch================"
su elasticsearch -c "sh ${ELASTICSEARCH_HOME}/bin/elasticsearch -d -p ${ELASTICSEARCH_HOME}/pid"
;;
"stop")
echo "============停止ElasticSearch================"
kill `cat ${
ELASTICSEARCH_HOME}/pid`
;;
*)
echo "args info is error!!!"
;;
esac
# 给 shell 脚本赋权限
[root@tcloud ~]# chmod +x /usr/local/elasticsearch/elasticsearch.sh
2.2 测试
- 我们不启动，先停止一下试试 :)
[root@tcloud elasticsearch]# ./elasticsearch.sh stop ============停止ElasticSearch================ ./elasticsearch.sh: line 16: kill: (831717) - No such process - 启动停止一起测试
```bash启动
[root@tcloud elasticsearch]# ./elasticsearch.sh start
============启动ElasticSearch================
验证是否启动成功
[root@tcloud elasticsearch]# ps -ef | grep elastic
root 2082 16917 0 16:25 pts/2 00:00:00 su elasticsearch
elastic+ 2083 2082 0 16:25 pts/2 00:00:00 bash
elastic+ 17031 1 9 17:30 ? 00:00:22 /usr/local/java/bin/java -Xms256m -Xmx256m -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.6IpCYVwq -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=data -XX:ErrorFile=logs/hs_err_pid%p.log -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+PrintTenuringDistribution -XX:+PrintGCApplicationStoppedTime -Xloggc:logs/gc.log -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=32 -XX:GCLogFileSize=64m -Des.path.home=/usr/local/elasticsearch -Des.path.conf=/usr/local/elasticsearch/config -Des.distribution.flavor=default -Des.distribution.type=tar -cp /usr/local/elasticsearch/lib/* org.elasticsearch.bootstrap.Elasticsearch -d -p /usr/local/elasticsearch/pid
elastic+ 17053 17031 0 17:30 ? 00:00:00 /usr/local/elasticsearch/modules/x-pack-ml/platform/linux-x86_64/bin/controller
root 17979 2848 0 17:34 pts/1 00:00:00 grep --color=auto elastic
停止并验证【还有一个elasticsearch的线程 但实际上已经关闭了】
[root@tcloud elasticsearch]# ./elasticsearch.sh stop
============停止ElasticSearch================
[root@tcloud elasticsearch]# ps -ef | grep elastic
root 2082 16917 0 16:25 pts/2 00:00:00 su elasticsearch
elastic+ 2083 2082 0 16:25 pts/2 00:00:00 bash
root 18118 2848 0 17:35 pts/1 00:00:00 grep --color=auto elastic
```
3. 总结
elasticsearch.sh 这个脚本修改后可以用到很多服务的启动停止上，比如大数据集群、多个jar文件等。
