21.go-mysql-elasticsearch實現mysql 與elasticsearch實時同步(ES與關係型資料庫同步)

阿新 • • 發佈：2019-01-01

引言：

go-mysql-elasticsearch 是國內作者開發的一款外掛。測試表明：該外掛優點：能實現同步增、刪、改、查操作。不足之處（待完善的地方）：
1、仍處理開發、相對不穩定階段；
2、沒有日誌，不便於排查問題及檢視同步結果。
本文深入詳解了外掛的安裝、使用、增刪改查同步測試。

1. go-mysql-elasticsearch 外掛安裝

步驟1：安裝go

yum install go

步驟2：安裝godep

go get github.com/tools/godep

步驟3：獲取go-mysql-elastisearch外掛

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

步驟4：安裝go-mysql-elastisearch外掛

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

2.go-mysql-elasticsearch 外掛使用

2.1修改配置檔案

[[email protected]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 = "[email protected]!"

# 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執行同步操作

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

3. go-mysql-elasticsearch 外掛同步測試結果

3.1插入Insert操作實時同步驗證（驗證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執行insert後查詢結果

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端能查詢到新增的value欄位。

[[email protected]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操作實時同步驗證（驗證ok）

3.2.1mysql執行更新操作

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執行修改後查詢

Mysql查詢修改後結果：

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查詢修改結果

[[email protected]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刪除操作實時同步驗證

3.3.1Mysql執行刪除操作

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

3.3.2刪除後查詢表

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查詢刪除後結果

[[email protected]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小結

驗證發現：
（1）go-mysql-elasticsearch外掛可以實現同步insert、update、delete操作。
（2）視覺化做的不好，沒有列印日誌。
（3）go-mysql-elasticsearch尚不大穩定，出現過無法同步成功的情況，但沒有報錯。不便於排查。