docker-compose部署monstache

docker_compose.yml内容如下

其中/usr/local/config.toml路径可以更改，我是将config.toml放在/usr/local路径下的

version: '2'

services:
  monstache: 
    image: rwynn/monstache:rel6
    restart: always
    container_name: monstache
    volumes: 
      - /usr/local/config.toml:/app/config.toml
    command: -f /app/config.toml

config.toml内容如下

共有5处一定需要修改，其它的视自身情况而定

# connection settings

# connect to MongoDB using the following URL，1这里需要根据自己情况改
mongo-url = "mongodb://192.168.xxx.xxx:27017/"
# connect to the Elasticsearch REST API at the following node URLs，2这里需要根据自己情况改
elasticsearch-urls = ["http://192.168.xxx.xxx: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，3这里需要根据自己情况改
direct-read-namespaces = ["db.col"]

# 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.，4这里需要根据自己情况改
change-stream-namespaces = ["db.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，5这里需要根据自己情况改
namespace-regex = '^db\.col$'
# compress requests to Elasticsearch
gzip = true
# generate indexing statistics
stats = true
# index statistics into Elasticsearch
index-stats = true
# use the following user name for Elasticsearch basic auth
elasticsearch-user = "elastic"
# use the following password for Elasticsearch basic auth
#elasticsearch-password = "somepassword"
# use 4 go routines concurrently pushing documents to Elasticsearch
elasticsearch-max-conns = 4 
# use the following PEM file to connections to Elasticsearch
#elasticsearch-pem-file = "/path/to/elasticCert.pem"
# validate connections to Elasticsearch
#elastic-validate-pem-file =false
# propogate dropped collections in MongoDB as index deletes in Elasticsearch
dropped-collections = true
# propogate dropped databases in MongoDB as index deletes in Elasticsearch
dropped-databases = true
# do not start processing at the beginning of the MongoDB oplog
# if you set the replay to true you may see version conflict messages
# in the log if you had synced previously. This just means that you are replaying old docs which are already
# in Elasticsearch with a newer version. Elasticsearch is preventing the old docs from overwriting new ones.
replay = false
# resume processing from a timestamp saved in a previous run
resume = true
# do not validate that progress timestamps have been saved
resume-write-unsafe = false
# override the name under which resume state is saved
resume-name = "default"
# use a custom resume strategy (tokens) instead of the default strategy (timestamps)
# tokens work with MongoDB API 3.6+ while timestamps work only with MongoDB API 4.0+
resume-strategy = 1
# exclude documents whose namespace matches the following pattern
#namespace-exclude-regex = '^mydb\.ignorecollection$'
# 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 = 'apollo'
# do not exit after full-sync, rather continue tailing the oplog
exit-after-direct-reads = false

部署

将 docker_compose.yml上传到服务器，执行

docker-compose -f docker_compose.yml up -d