(1) 下载Go并解压

wget https://dl.google.com/go/go1.14.4.linux-amd64.tar.gz  

tar -C /usr/local -xzf go1.14.4.linux-amd64.tar.gz  

(2) 建立go的工作空间，即GOAPTH所指向的目录

创建三个目录 mkdir bin、mkdir src、mkdir pkg

(3) 配置环境变量

使用 vim /etc/profile命令打开环境变量配置文件，并将如下内容写入该文件中。其中GOPROXY用来指定阿里云Go模块代理

export GOROOT=/usr/local/go  

export GOPATH=/home/go/  

export PATH=$PATH:$GOROOT/bin:$GOPATH/bin  

export GOPROXY=https://mirrors.aliyun.com/goproxy/  

(4) 应用环境变量配置

source /etc/profile  

cd /usr/local/monstache-6.7.11

go install

#创建monstache的存储目录

cd /usr/local/monstache-6.7.11

mkdir config

mkdir logs

cd config

vim config.toml  

# connection settings  

# connect to MongoDB using the following URL

mongo-url = "mongodb://192.168.8.79:27017/pns"

# connect to the Elasticsearch REST API at the following node URLs

elasticsearch-urls = ["http://192.168.8.153:9200"]  

# frequently required settings  

# if you need to seed an index from a collection and not just listen and sync changes events

# you can copy entire collections or views from MongoDB to Elasticsearch

direct-read-namespaces = ["库名.集合名"]  

# if you want to use MongoDB change streams instead of legacy oplog tailing use change-stream-namespaces

# change streams require at least MongoDB API 3.6+

# if you have MongoDB 4+ you can listen for changes to an entire database or entire deployment

# in this case you usually don't need regexes in your config to filter collections unless you target the deployment.

# to listen to an entire db use only the database name.  For a deployment use an empty string.

#change-stream-namespaces = ["mydb.col"]  

# additional settings  

# if you don't want to listen for changes to all collections in MongoDB but only a few

# e.g. only listen for inserts, updates, deletes, and drops from mydb.mycollection

# this setting does not initiate a copy, it is only a filter on the change event listener

namespace-regex = '^库名\.集合名$'

# compress requests to Elasticsearch

gzip = true

# generate indexing statistics

#stats = true

# index statistics into Elasticsearch

#index-stats = true

# use the following PEM file for connections to MongoDB

#mongo-pem-file = "/path/to/mongoCert.pem"

# disable PEM validation

#mongo-validate-pem-file = false

# use the following user name for Elasticsearch basic auth

elasticsearch-user = "elastic"

# use the following password for Elasticsearch basic auth

elasticsearch-password = "<your_es_password>"

# use 4 go routines concurrently pushing documents to Elasticsearch

elasticsearch-max-conns = 4

# use the following PEM file to connections to Elasticsearch

#elasticsearch-pem-file = "/path/to/elasticCert.pem"

# validate connections to Elasticsearch

#elastic-validate-pem-file = true

# propogate dropped collections in MongoDB as index deletes in Elasticsearch

dropped-collections = true

# propogate dropped databases in MongoDB as index deletes in Elasticsearch

dropped-databases = true

# do not start processing at the beginning of the MongoDB oplog

# if you set the replay to true you may see version conflict messages

# in the log if you had synced previously. This just means that you are replaying old docs which are already

# in Elasticsearch with a newer version. Elasticsearch is preventing the old docs from overwriting new ones.

#replay = false

# resume processing from a timestamp saved in a previous run

resume = true

# do not validate that progress timestamps have been saved

#resume-write-unsafe = false

# override the name under which resume state is saved

#resume-name = "default"

# use a custom resume strategy (tokens) instead of the default strategy (timestamps)

# tokens work with MongoDB API 3.6+ while timestamps work only with MongoDB API 4.0+

resume-strategy = 0

# exclude documents whose namespace matches the following pattern

#namespace-exclude-regex = '^mydb\.ignorecollection$'

# turn on indexing of GridFS file content

#index-files = true

# turn on search result highlighting of GridFS content

#file-highlighting = true

# index GridFS files inserted into the following collections

#file-namespaces = ["users.fs.files"]

# print detailed information including request traces

verbose = true

# enable clustering mode

#cluster-name = 'es-cn-mp91kzb8m00******'

# do not exit after full-sync, rather continue tailing the oplog

#exit-after-direct-reads = false

[[mapping]]

namespace = "pns.user_device_table"

index = "pns.user_device_table"

#type = "device"  

#切换目录

cd /etc/init.d  

#编辑命令

vim monstache  

#!/bin/bash

#

# chkconfig: 2345 10 90

#

# description: MONSTACHE RUN  

#程序名

MONSTACHE_NAME="monstache-rel6"  

#资源位置

MONSTACHE_OPTS=/home/go/bin/monstache

MONSTACHE_CONF=/usr/local/monstache-6.7.11/config/config.toml  

#日志位置

MONSTACHE_LOGS=/usr/local/monstache-6.7.11/logs/monstache.log  

#开始方法

start() {

nohup $MONSTACHE_OPTS -f $MONSTACHE_CONF > $MONSTACHE_LOGS  2>&1 &

echo "$MONSTACHE_NAME started success."

}  

#结束方法

stop() {

echo "stopping $MONSTACHE_NAME ..."

kill -9 `ps -ef|grep $MONSTACHE_OPTS|grep -v grep|grep -v stop|awk '{print $2}'`

}  

case "$1" in

start)

start

;;

stop)

stop

;;

restart)

stop

start

;;

*)

echo "Userage: $0 {start|stop|restart}"

exit 1

esac  

#授权

chmod +x monstache   

#添加系统服务

chkconfig --add monstache

chkconfig monstache on

chkconfig --list  

#启停命令

systemctl start|stop|restart monstache  

#查看进程

ps -ef|grep monstache