您的位置:首页 > 数据库 > SQL

go-mysql-elasticsearch实现mysql 与elasticsearch实时同步深入详解

2016-06-27 21:36 1061 查看

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)

3.1.1Mysql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)

3.1.3ES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)

3.2.1mysql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


3.2.2mysql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

3.3.1Mysql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)


3.3.3ES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。

——————————————————————————————————

更多ES相关实战干货经验分享,请扫描下方【铭毅天下】微信公众号二维码关注。

(每周至少更新一篇!)



和你一起,死磕Elasticsearch

——————————————————————————————————

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

如果感觉本文对您有帮助,请点击‘顶’支持一下,您的支持是我坚持写作最大的动力,谢谢!
内容来自用户分享和网络整理,不保证内容的准确性,如有侵权内容,可联系管理员处理 点击这里给我发消息
标签: