引言：

go-mysql-elasticsearch 是国内作者开发的一款插件。测试表明：该插件优点：能实现同步增、删、改、查操作。不足之处（待完善的地方）：
1、仍处理开发、相对不稳定阶段；
2、没有日志，不便于排查问题及查看同步结果。
本文深入详解了插件的安装、使用、增删改查同步测试。

1、 go-mysql-elasticsearch 插件安装

步骤1：安装go

yum install go

步骤2：安装godep

go get github.com/tools/godep

步骤3：获取go-mysql-elastisearch插件

go get github.com/siddontang/go-mysql-elasticsearch

步骤4：安装go-mysql-elastisearch插件

cd $GOPATH/src/github.com/siddontang/go-mysql-elasticsearch
make

2、go-mysql-elasticsearch 插件使用

2.1 修改配置文件

[root@5b9dbaaa148a etc]# cat river.toml
# MySQL address, user and password
# user must have replication privilege in MySQL.
my_addr = "192.168.1.1:3306"
my_user = "root"
my_pass = "password@!"

# Elasticsearch address
es_addr = "192.168.1.1:9200"

# Path to store data, like master.info, and dump MySQL data 
data_dir = "./var"

# Inner Http status address
stat_addr = "192.168.1.1:12800"

# pseudo server id like a slave 
server_id = 1

# mysql or mariadb
flavor = "mysql"

# mysqldump execution path
mysqldump = "mysqldump"

# MySQL data source
[[source]]
schema = "test"

# Only below tables will be synced into Elasticsearch.
# "test_river_[0-9]{4}" is a wildcard table format, you can use it if you have many sub tables, like table_0000 - table_1023
# I don't think it is necessary to sync all tables in a database.
tables = ["cc"]

# Below is for special rule mapping
#[[rule]]
#schema = "test"
#table = "cc"
#index = "go_river"
#type = "go_rivert"

    # title is MySQL test_river field name, es_title is the customized name in Elasticsearch
 #   [rule.field]
    # This will map column title to elastic search my_title
  #  title="es_title"
    # This will map column tags to elastic search my_tags and use array type
   # tags="my_tags,list"
    # This will map column keywords to elastic search keywords and use array type
    #keywords=",list"

# wildcard table rule, the wildcard table must be in source tables 
[[rule]]
schema = "test"
table = "cc"
index = "gocc"
type = "gocc_t"

    # title is MySQL test_river field name, es_title is the customized name in Elasticsearch
    [[rule.fields]]
    mysql = "mysql101"
    elastic = "es_mysql101"

2.2 执行同步操作

cd $GOPATH/src/github.com/siddontang/go-mysql-elasticsearch 
./bin/go-mysql-elasticsearch -config=./etc/river.toml

3、 go-mysql-elasticsearch 插件同步测试结果

3.1 插入Insert操作实时同步验证（验证ok）

3.1.1 Mysql端插入操作

mysql> insert into cc(id,name) values(12, ‘test12’); 
Query OK, 1 row affected (0.06 sec)

3.1.2Mysql执行insert后查询结果

mysql> select * from cc where id =12; 
+—-+——–+——–+———————+ 
| id | name | status | modified_at | 
+—-+——–+——–+———————+ 
| 12 | test12 | ok | 2016-06-24 02:27:29 | 
+—-+——–+——–+———————+ 
1 row in set (0.02 sec)

3.1.3 ES端能查询到新增的value字段。

[root@5b9dbaaa148a bin]# curl -XGET http://192.168.1.1:9200/gocc/_search?pretty -d '
> {"query":
> {"term":
> {"id":12}}}'
{
  "took" : 402,
  "timed_out" : false,
  "_shards" : {
    "total" : 8,
    "successful" : 8,
    "failed" : 0
  },
  "hits" : {
    "total" : 1,
    "max_score" : 1.0,
    "hits" : [ {
      "_index" : "gocc",
      "_type" : "gocc_t",
      "_id" : "12",
      "_score" : 1.0,
      "_source" : {
        "id" : 12,
        "modified_at" : "2016-06-24T02:27:29+01:00",
        "name" : "test12",
        "status" : "ok"
      }
    } ]
  }
}

3.2 修改Update操作实时同步验证（验证ok）

3.2.1 mysql执行更新操作

mysql> update cc set name = 'test12_001' where id = 12;
Query OK, 1 row affected (0.05 sec)
Rows matched: 1  Changed: 1  Warnings: 0

3.2.2 mysql执行修改后查询

Mysql查询修改后结果：

mysql> select * from cc where id = 12;
+----+------------+--------+---------------------+
| id | name       | status | modified_at         |
+----+------------+--------+---------------------+
| 12 | test12_001 | ok     | 2016-06-24 02:27:29 |
+----+------------+--------+---------------------+
1 row in set (0.00 sec)

3.2.3 ES查询修改结果

[root@5b9dbaaa148a bin]# curl -XGET http://192.168.1.1:9200/gocc/_search?pretty -d '
{"query":
{"term":
{"id":12}}}'
{
  "took" : 59,
  "timed_out" : false,
  "_shards" : {
    "total" : 8,
    "successful" : 8,
    "failed" : 0
  },
  "hits" : {
    "total" : 1,
    "max_score" : 1.0,
    "hits" : [ {
      "_index" : "gocc",
      "_type" : "gocc_t",
      "_id" : "12",
      "_score" : 1.0,
      "_source" : {
        "id" : 12,
        "modified_at" : "2016-06-24T02:27:29+01:00",
        "name" : "test12_001",
        "status" : "ok"
      }
    } ]
  }
}

3.3 删除操作实时同步验证

3.3.1 Mysql执行删除操作

mysql> delete from cc where id = 12;
Query OK, 1 row affected (0.04 sec)

3.3.2 删除后查询表

mysql> select * from cc;
+----+--------------------+--------+---------------------+
| id | name               | status | modified_at         |
+----+--------------------+--------+---------------------+
|  1 | laoyang360         | ok     | 0000-00-00 00:00:00 |
|  2 | test002            | ok     | 2016-06-23 06:16:42 |
|  3 | dlllaoyang360      | ok     | 0000-00-00 00:00:00 |
| 11 | test11             | ok     | 2016-06-24 02:09:15 |
|  5 | jdbc_test_update08 | ok     | 0000-00-00 00:00:00 |
|  7 | test7              | ok     | 0000-00-00 00:00:00 |
|  8 | test008            | ok     | 0000-00-00 00:00:00 |
|  9 | test009            | ok     | 0000-00-00 00:00:00 |
| 10 | test10             | ok     | 2016-06-24 02:08:14 |
+----+--------------------+--------+---------------------+
9 rows in set (0.02 sec)

3.3.3 ES查询删除后结果

[root@5b9dbaaa148a bin]# curl -XGET http://192.168.1.1:9200/gocc/_search?pretty -d '
{"query":
{"term":
{"id":12}}}'
{
  "took" : 40,
  "timed_out" : false,
  "_shards" : {
    "total" : 8,
    "successful" : 8,
    "failed" : 0
  },
  "hits" : {
    "total" : 0,
    "max_score" : null,
    "hits" : [ ]
  }
}

4、小结

验证发现：
（1）go-mysql-elasticsearch插件可以实现同步insert、update、delete操作。
（2）可视化做的不好，没有打印日志。
（3）go-mysql-elasticsearch尚不大稳定，出现过无法同步成功的情况，但没有报错。不便于排查。

作者：铭毅天下
转载请标明出处，原文地址：http://blog.csdn.net/laoyang360/article/details/51771483