使用go-mysql-elasticsearch包实现将mysql数据同步elasticsearch的流程步骤

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go-mysql-elasticsearch是一项将MySQL数据自动同步到 Elasticsearch 的服务。

它首先使用mysqldump获取原始数据，然后使用 binlog 逐步同步数据。

github:

https://github.com/go-mysql-org/go-mysql-elasticsearch

注意事项

1.当前环境需要 mysqldump 工具取导出数据

2.阿里云的数据库需要 skip_master_data = true

3.源代码里 是使用 update 方法取修改文档数据，而不是 index 方法

4.master 节点 binglog 日志设长点 不然的话 等 dump 完 之前的同步位点的 log 日志就会丢失

使用步骤:

配置文件

# MySQL address, user and password
# user must have replication privilege in MySQL.
my_addr = "localhost"
my_user = "root"
my_pass = "root"
my_charset = "utf8mb4"
# Set true when elasticsearch use https
#es_https = false
# Elasticsearch address
es_addr = "elasticsearch.addr"
# Elasticsearch user and password, maybe set by shield, nginx, or x-pack
es_user = ""
es_pass = ""
# Path to store data, like master.info, if not set or empty,
# we must use this to support breakpoint resume syncing. 
# TODO: support other storage, like etcd. 
data_dir = "./postion"
# Inner Http status address
stat_addr = "127.0.0.1:12800"
stat_path = "/metrics"
# pseudo server id like a slave 
server_id = 1
# mysql or mariadb
flavor = "mysql"
# mysqldump execution path
# if not set or empty, ignore mysqldump.
mysqldump = "mysqldump"
# if we have no privilege to use mysqldump with --master-data,
# we must skip it.
skip_master_data = false
# minimal items to be inserted in one bulk
bulk_size = 128
# force flush the pending requests if we don't have enough items >= bulk_size
flush_bulk_time = "200ms"
# Ignore table without primary key
skip_no_pk_table = true
# MySQL data source
[[source]]
schema = "a"
tables = ["b"]
# Below is for special rule mapping
[[rule]]
schema = "a"
table = "b"
index = "es_index_v1"
type = "_doc"
id = ["id"]
filter = ["id","refine_timestamp"]
[rule.field]
# Map column `id` to ES field `es_id`
refine_timestamp = "refineTimestamp"

它主要是用 go 去请求 es 提供的 rest-api实现同步的。