全量同步多张db表到ES同一个索引
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![全量同步多张db表到ES同一个索引[数据库教程]](/upload/202205/01/eiszvr12atz.jpg)
一、演示场景:
演示的场景主要是解决MySQL多张业务大表进行多表join查询效率低下的问题。
通过把MySQL的多张大表的数据同步到同一个ES索引中。(也就是有多表字段合并到es一张宽表来解决MySQL多表join效率低下的问题)
1.1、演示环境
自建MySQL服务5.7.22
ES单实例版本6.2.4
服务器python环境2.7.5
部署同步服务mysqlmom程序
具体安装部署此处忽略。有需要可以查看本博客找
二、MySQLmom具体配置文件
[[email protected] ~]# cat /data1/soft/mysqlsmom01/test_mom/init_config.py
# coding=utf-8
STREAM = "INIT"
# 修改数据库连接
CONNECTION = {
‘host‘: ‘172.16.0.197‘,
‘port‘: 3306,
‘user‘: ‘click_rep‘,
‘passwd‘: ‘jwtest123456‘
}
# 一次同步 BULK_SIZE 条数据到elasticsearch，不设置该配置项默认为1
BULK_SIZE = 50000
# 修改elasticsearch节点
#NODES = [{"host": "127.0.0.1", "port": 9200}]
NODES = [{"host": "172.16.0.247", "port": 9999}]
TASKS = [
# 同步stdb01.test03到es:
{
"stream": {
"database": "test_db", # 在此数据库执行sql语句
"sql": "select * from test01", # 将该sql语句选中的数据同步到 elasticsearch
# "pk": {"field": "id", "type": "char"} # 当主键id的类型是字符串时
},
"jobs": [
{
"actions": ["insert", "update"],
"pipeline": [
{"only_fields": {"fields": ["id", "username"]}}, # 只同步 id 和 username字段
{"set_id": {"field": "id"}} # 默认设置 id字段的值 为elasticsearch中的文档id
],
"dest": {
"es": {
"action": "upsert",
"index": "test01_company_index", # 设置 index
"type": "test01", # 设置 type
"nodes": NODES
}
}
}
]
},
{
"stream": {
"database": "test_db", # 在此数据库执行sql语句
"sql": "select * from company_staff", # 将该sql语句选中的数据同步到 elasticsearch
# "pk": {"field": "id", "type": "char"} # 当主键id的类型是字符串时
},
"jobs": [
{
"actions": ["insert", "update"],
"pipeline": [
{"only_fields": {"fields": ["id", "company_name", "company_staff", "channel", "url"]}}, # 只同步 id 和 username字段
{"set_id": {"field": "id"}} # 默认设置 id字段的值 为elasticsearch中的文档id
],
"dest": {
"es": {
"action": "upsert",
"index": "test01_company_index", # 设置 index
"type": "test01", # 设置 type
"nodes": NODES
}
}
}
]
}
]
# CUSTOM_ROW_HANDLERS = "./my_handlers.py"
# CUSTOM_ROW_FILTERS = "./my_filters.py"?
三、mysql测试表建表语句,表数据以及同步程序启动
mysql测试表建表语句和表数据如下：
[email protected] 16:16: [test_db]> show create table company_staffG
*************************** 1. row ***************************
Table: company_staff
Create Table: CREATE TABLE `company_staff` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT ‘id‘,
`company_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT ‘‘ COMMENT ‘公司名‘,
`company_staff` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT ‘‘ COMMENT ‘人员规模‘,
`channel` varchar(10) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT ‘‘ COMMENT ‘来源‘,
`url` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT ‘‘ COMMENT ‘url‘,
`create_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT ‘创建时间‘,
`update_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT ‘更新时间‘,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=8 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT=‘namelist人员规模表‘
1 row in set (0.00 sec)
[email protected] 16:17: [test_db]> select * from company_staff;
+----+-----------------------------------------------------------------------------+---------------+-------------+-----------------------------------------+---------------------+---------------------+
| id | company_name | company_staff | channel | url | create_time | update_time |
+----+-----------------------------------------------------------------------------+---------------+-------------+-----------------------------------------+---------------------+---------------------+
| 1 | 永兴东润（中国）服饰有限公司北京海淀第四儿童服饰店 | liepin | 100-499人 | https://www.liepin.com/company/8321725/ | 2021-06-19 17:21:57 | 2021-06-19 17:21:57 |
| 2 | 东(中国）服饰有限公司北京海淀第四儿童服饰店 | liepin | 100-499人 | https://www.liepin.com/company/8321725/ | 2021-06-19 17:21:57 | 2021-06-19 17:21:57 |
| 3 | 永兴东润(中国）服饰有限公司北京海淀第四儿童服饰店 | liepin | 100-499人 | https://www.liepin.com/company/8321725/ | 2021-06-19 17:21:57 | 2021-06-19 17:21:57 |
| 4 | 润(中国） | liepin | 100-499人 | https://www.liepin.com/company/8321725/ | 2021-06-19 17:21:57 | 2021-06-19 17:21:57 |
+----+-----------------------------------------------------------------------------+---------------+-------------+-----------------------------------------+---------------------+---------------------+
4 rows in set (0.00 sec)
[email protected] 16:17: [test_db]> show create table test01G
*************************** 1. row ***************************
Table: test01
Create Table: CREATE TABLE `test01` (
`id` int(8) NOT NULL AUTO_INCREMENT,
`username` varchar(20) COLLATE utf8_unicode_ci NOT NULL,
`password` varchar(20) COLLATE utf8_unicode_ci NOT NULL,
`create_time` varchar(20) COLLATE utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
1 row in set (0.00 sec)
[email protected] 16:17: [test_db]> select * from test01;
+----+----------+------------+---------------------+
| id | username | password | create_time |
+----+----------+------------+---------------------+
| 1 | tomcat | xiaohuahua | 2021-07-03 23:51:17 |
| 2 | php | xiao | 2021-07-03 23:53:36 |
| 3 | fix | xiao | 2021-07-03 23:53:49 |
| 4 | java | bai | 2021-07-03 23:54:01 |
+----+----------+------------+---------------------+
4 rows in set (0.00 sec)
[[email protected] mysqlsmom01]# mom run -c ./test_mom/binlog_config.py >mysqlmom.log 2>&1 &
2021-08-08 16:23:57,873 root INFO {"username": "tomcat", "_id": 1, "id": 1}
2021-08-08 16:23:57,874 root INFO {"username": "php", "_id": 2, "id": 2}
2021-08-08 16:23:57,874 root INFO {"username": "fix", "_id": 3, "id": 3}
2021-08-08 16:23:57,874 root INFO {"username": "java", "_id": 4, "id": 4}
2021-08-08 16:23:57,975 elasticsearch INFO POST http://172.16.0.247:9999/_bulk [status:200 request:0.101s]
2021-08-08 16:23:57,979 root INFO {"url": "https://www.liepin.com/company/8321725/", "company_staff": "liepin", "company_name": "u6c38u5174u4e1cu6da6uff08u4e2du56fduff09u670du9970u6709u9650u516cu53f8u5317u4eacu6d77u6dc0u7b2cu56dbu513fu7ae5u670du9970u5e97", "_id": 1, "id": 1, "channel": "100-499u4eba "}
2021-08-08 16:23:57,979 root INFO {"url": "https://www.liepin.com/company/8321725/", "company_staff": "liepin", "company_name": "u4e1c(u4e2du56fduff09u670du9970u6709u9650u516cu53f8u5317u4eacu6d77u6dc0u7b2cu56dbu513fu7ae5u670du9970u5e97", "_id": 2, "id": 2, "channel": "100-499u4eba "}
2021-08-08 16:23:57,979 root INFO {"url": "https://www.liepin.com/company/8321725/", "company_staff": "liepin", "company_name": "u6c38u5174u4e1cu6da6(u4e2du56fduff09u670du9970u6709u9650u516cu53f8u5317u4eacu6d77u6dc0u7b2cu56dbu513fu7ae5u670du9970u5e97", "_id": 3, "id": 3, "channel": "100-499u4eba "}
2021-08-08 16:23:57,979 root INFO {"url": "https://www.liepin.com/company/8321725/", "company_staff": "liepin", "company_name": "u6da6(u4e2du56fduff09", "_id": 4, "id": 4, "channel": "100-499u4eba "}
2021-08-08 16:23:58,007 elasticsearch INFO POST http://172.16.0.247:9999/_bulk [status:200 request:0.027s]
real 0m0.637s
user 0m0.447s
sys 0m0.061s
全量同步启动命令如下:
?
[[email protected] mysqlsmom01]# mom run -c ./test_mom/init_config.py >mysqlmom.log 2>&1 &
2021-08-08 16:23:57,873 root INFO {"username": "tomcat", "_id": 1, "id": 1}
2021-08-08 16:23:57,874 root INFO {"username": "php", "_id": 2, "id": 2}
2021-08-08 16:23:57,874 root INFO {"username": "fix", "_id": 3, "id": 3}
2021-08-08 16:23:57,874 root INFO {"username": "java", "_id": 4, "id": 4}
2021-08-08 16:23:57,975 elasticsearch INFO POST http://172.16.0.247:9999/_bulk [status:200 request:0.101s]
2021-08-08 16:23:57,979 root INFO {"url": "https://www.liepin.com/company/8321725/", "company_staff": "liepin", "company_name": "u6c38u5174u4e1cu6da6uff08u4e2du56fduff09u670du9970u6709u9650u516cu53f8u5317u4eacu6d77u6dc0u7b2cu56dbu513fu7ae5u670du9970u5e97", "_id": 1, "id": 1, "channel": "100-499u4eba "}
2021-08-08 16:23:57,979 root INFO {"url": "https://www.liepin.com/company/8321725/", "company_staff": "liepin", "company_name": "u4e1c(u4e2du56fduff09u670du9970u6709u9650u516cu53f8u5317u4eacu6d77u6dc0u7b2cu56dbu513fu7ae5u670du9970u5e97", "_id": 2, "id": 2, "channel": "100-499u4eba "}
2021-08-08 16:23:57,979 root INFO {"url": "https://www.liepin.com/company/8321725/", "company_staff": "liepin", "company_name": "u6c38u5174u4e1cu6da6(u4e2du56fduff09u670du9970u6709u9650u516cu53f8u5317u4eacu6d77u6dc0u7b2cu56dbu513fu7ae5u670du9970u5e97", "_id": 3, "id": 3, "channel": "100-499u4eba "}
2021-08-08 16:23:57,979 root INFO {"url": "https://www.liepin.com/company/8321725/", "company_staff": "liepin", "company_name": "u6da6(u4e2du56fduff09", "_id": 4, "id": 4, "channel": "100-499u4eba "}
2021-08-08 16:23:58,007 elasticsearch INFO POST http://172.16.0.247:9999/_bulk [status:200 request:0.027s]
real 0m0.637s
user 0m0.447s
sys 0m0.061s
?
图示如下:
到此时，全量同步多张db表数据到ES同一个索引演示完成
全量同步多张db表到ES同一个索引
原文：https://blog.51cto.com/wujianwei/3314093
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