使用Datax同步mysql,oracle,sqlserver数据到Hbase

喜欢ヅ旅行 2022-11-26 08:54 706阅读 0赞

### 文章目录 ###

*  1，Datax下载使用
 *   *  下载二进制包使用
 *  2，关系型数据库，导入到Hbase
 *   *  a，配置参考
     *  b，具体json参数如下
     *  c，使用shell命令简化json配置
     *   *  案例1：纯sql文本
         *  案例2：sql带注释的文本
 *  3，hbase数据，导出到关系型数据库
 *  4，调整任务内存
 *  5，使用datax-web界面化操作datax
 *  6，datax-web前后端分离部署
 *   *  a, datax-admin启动参数：
     *  b, 查看datax-admin的jar内容
     *  c, 打包datax-admin的时候，把resources/static目录移除，只打包后台相关内容
     *  d, 把resources/static放到服务器的nginx目录下

# 1，Datax下载使用 #

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70]

阿里巴巴开源-数据迁移工具：

*  DataX简介-架构设计：  
    [https://github.com/alibaba/DataX/blob/master/introduction.md][https_github.com_alibaba_DataX_blob_master_introduction.md]
 *  用户指南：  
    [https://github.com/alibaba/DataX/blob/master/userGuid.md][https_github.com_alibaba_DataX_blob_master_userGuid.md]

## 下载二进制包使用 ##

下载，并解压到linux服务器某目录：[http://datax-opensource.oss-cn-hangzhou.aliyuncs.com/datax.tar.gz][http_datax-opensource.oss-cn-hangzhou.aliyuncs.com_datax.tar.gz]

*  目录结构  
    ![在这里插入图片描述][20200811163022237.png]
 *  测试使用：参数结构（json形式）  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 1]

# 2，关系型数据库，导入到Hbase #

*  RDBMs读取clob数据 （GBK编码的），导出到hbase 乱码问题：plugin-rdbms-util模块- ->reader.CommonRdbmsReader 修改相应字符编码
 *  hbase11xwriter 写 hbase，默认没有开启wal, 可以手动设置此参数 （walFlag）

"writer": { 
              "name": "hbase11xwriter",
              "parameter": { 
                "hbaseConfig": { 
                  "hbase.zookeeper.quorum": "218.245.1.135:2181"
                },
                "table": "t1",
                "mode": "normal",
                	"walFlag": "true",
                "column": [.....

从DataX主页：查看’Support Data Channels’ --> Hbase1.1: 写 ，查找hbase写入参数：[https://github.com/alibaba/DataX][https_github.com_alibaba_DataX]

## a，配置参考 ##

sql查询结果：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 2]  
配置hbase写入任务参数：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 3]  
hbase数据查询结果：  
![在这里插入图片描述][2020081117150392.png]

## b，具体json参数如下 ##

###### 查看目标服务器：hbase版本
    [root@hbase-server oracle-packs]$ hbase version
    Java HotSpot(TM) 64-Bit Server VM warning: Using incremental CMS is deprecated and will likely be removed in a future release
    HBase 1.2.0-cdh5.12.0
    Source code repository file:///data/jenkins/workspace/generic-package-rhel64-6-0/topdir/BUILD/hbase-1.2.0-cdh5.12.0 revision=Unknown
    Compiled by jenkins on Thu Jun 29 04:42:07 PDT 2017
    From source with checksum 6834049453a9459ccaf4cadbf9a54b2c
    
    
    ######从客户端机器操作DataX: 把关系型数据库(sqlserver,mysql,oracle)数据，抽取到hbase
    ###### 从sqlserver-> hbase: 选择hbase-writer, sqlserver-reader
    [root@c7-docker bin]# cat ../conf/sqlserver_w_hbase.json
    { 
        "job":{ 
            "setting":{  "speed": {  "channel":5  } },
            "content":[{ 
                    "reader":{ 
                        "name":"sqlserverreader",
                        "parameter":{ 
                            "username":"sa",
                            "password":"XXXabc123$",
                            "connection":[
                                { 
                                    "jdbcUrl":[ "jdbc:sqlserver://192.168.56.101:1433"],
                                    "querySql":[
                                        "SELECT t1.id, t1.name , t2.job FROM master.dbo.t1 left join t2 on t1.id=t2.id"
                                    ]
                                }
                            ]
                        }
                    },
                    "writer":{ 
    						"name":"hbase11xwriter",
    						"parameter":{ 
    							"hbaseConfig":{ "hbase.zookeeper.quorum":"192.168.56.101:2181"},
    							"table":"t",
    							"mode":"normal",
    							"rowkeyColumn":[ { "index":0,"type":"string"}   ],
    							"column":[
    									 { "index":1,"name":"f:name","type":"string"},  
    									 { "index":2,"name":"f:job","type":"string"}
    								],
    							"encoding":"utf-8"
    						}
    			    }
    		 }]
        }
    }
    
    ###### 从mysql-> hbase: 选择hbase-writer, mysql-reader
    [root@c7-docker bin]# cat ../conf/mysql_w_hbase.json
    ...
                 "reader": { 
                        "name":"mysqlreader",
                        "parameter":{ 
                            "username":"root",
                            "password":"123456",
                            "connection":[
                                { 
    			  	  				"jdbcUrl":[   "jdbc:mysql://192.168.56.161:3306" ],
                                    "querySql":[
                                        "select id,name from test.t1 where id > 2"
                                    ]  
                                }
                            ]
                        }
                    },
    ...
    
    ###### 从oracle-> hbase: 选择hbase-writer, oracle-reader
    [root@c7-docker bin]# cat ../conf/oracle_w_hbase.json
    ....
                "reader": { 
                        "name": "oraclereader",
                        "parameter": { 
                            "username": "system",
                            "password": "orcl",
                            "connection": [
                                { 
    			    				"jdbcUrl": [ "jdbc:oracle:thin:@192.168.56.101:1521:orcl" ],
                                    "querySql": [
                                        " select id,name,\"data\" from bi.t1 where id < 1000"
                                    ]     
                                }
                            ]
                        }
                    },
    
    ....

## c，使用shell命令简化json配置 ##

### 案例1：纯sql文本 ###

#源SQL文件：数据源
    [root@c7-docker jsons]# cat c.sql
    SELECT id as id2,
    name as name2,age age2
    FROM t1
    
    #目的：为了产生如下格式
    { 
    	"name":"hbase11xwriter",
    	"parameter":{ 
    		"hbaseConfig":{ "hbase.zookeeper.quorum":"192.168.56.101:2181"},
    		"table":"t",
    		"mode":"normal",
    		"rowkeyColumn":[ { "index":0,"type":"string"}   ],
    		"column":[
    				 { "index":1,"name":"f:name","type":"string"},  
    				 { "index":2,"name":"f:job","type":"string"}
    			],
    		"encoding":"utf-8"
    	}
    }
    
    [root@c7-docker jsons]# awk 'BEGIN{print "{ \"index\":1, \"name\":\"f:name\", \"type\":\"string\" },"}'
    {  "index":1, "name":"f:name", "type":"string" },
    
    [root@c7-docker jsons]# cat c.sql |xargs \
     | sed -e 's@select$.*,.*$from .*@\1@i' \
     |sed 's@,@\n@g' \
     |awk 'NR!=1{print "{ \"index\":"NR-1", \"name\":\"f:"$NF"\", \"type\":\"string\" }," }'
    {  "index":1, "name":"f:name2", "type":"string" },
    {  "index":2, "name":"f:age2", "type":"string" },

### 案例2：sql带注释的文本 ###

[root@test-c6 ~]# cat a.txt
    sqoop import --connect 'jdbc:sqlserver://192.168.56.10:1433;username=sa;password=123456;databasename=DB1' --query " select (CASE xxxxxx xxxxxxxxx xxxxxxxxx ) AS ROWKEY, c.field1 as FIELD1 ,--备注1 c.field2 as FIELD2 ,--备注2 '01' as FIELD3,--备注3 'field3' as FIELD4,-- 备注4 a.field4 as FIELD5 ,--备注5 a.field5 as FIELD6 ,--备注6 field6 as FIELD7 ,--备注7 a.field7 as FIELD8 ,--备注8 a.field8 as FIELD9,-- 备注9 field9 AS FIELD10,-- 备注10 a.field10 AS FIELD11,-- 备注11 a.field11 AS FIELD12,-- 备注12 a.field12 AS FIELD13,-- 备注13 a.field13 AS FIELD14,-- 备注14 cast (b.field1 as nvarchar(MAX))AS FIELD15 --备注15 from [dbo].[TABLE1] a with(nolock) left join [dbo].[TABLE2] b with(nolock) on a.fild1=b.fild1 left join [dbo].[TABLE3] c with(nolock) on c.fild2=a.fild2 left join [dbo].[TABLE4] d with(nolock) on c.fild3 = d.fild3 where a.fild4 >=GETDATE()-3 and \$CONDITIONS " --hbase-table HBASE_TABLE --column-family f --hbase-row-key ROWKEY --verbose -m 1
    
    [root@test-c6 ~]# cat a.txt \
     |awk -F'--'  '$0 !~ /sqoop/ {print $1}' \
     |xargs -d '\n' \
     |sed -e 's@.*select$.*ROWKEY$,$.*,.*$from .*@ROWKEY,\2@i' \
     |sed 's@,@\n@g' \
     |awk 'NR!=1{print "{ \"index\":"NR-1", \"name\":\"f:"$NF"\", \"type\":\"string\" }," }'
    
    {  "index":1, "name":"f:FIELD1", "type":"string" },
    {  "index":2, "name":"f:FIELD2", "type":"string" },
    {  "index":3, "name":"f:FIELD3", "type":"string" },
    {  "index":4, "name":"f:FIELD4", "type":"string" },
    {  "index":5, "name":"f:FIELD5", "type":"string" },
    {  "index":6, "name":"f:FIELD6", "type":"string" },
    {  "index":7, "name":"f:FIELD7", "type":"string" },
    {  "index":8, "name":"f:FIELD8", "type":"string" },
    {  "index":9, "name":"f:FIELD9", "type":"string" },
    {  "index":10, "name":"f:FIELD10", "type":"string" },
    {  "index":11, "name":"f:FIELD11", "type":"string" },
    {  "index":12, "name":"f:FIELD12", "type":"string" },
    {  "index":13, "name":"f:FIELD13", "type":"string" },
    {  "index":14, "name":"f:FIELD14", "type":"string" },
    {  "index":15, "name":"f:FIELD15", "type":"string" },

# 3，hbase数据，导出到关系型数据库 #

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 4]

[root@c7-docker bin]# cat jsons/hbase_w_mysql.json
    {                                                                                                                                       
        "job": {                                                                                                                            
            "setting": {                                                                                                                    
                "speed": {                                                                                                                  
                    "channel": 1                                                                                                           
                }                                                                                                                          
            },                                                                                                                             
            "content": [                                                                                                                   
                {                                                                                                                           
                    "reader": {                                                                                                             
                        "name": "hbase11xreader",                                                                                          
                        "parameter": {                                                                                                      
                            "hbaseConfig": {                                                                                                
                                "hbase.zookeeper.quorum": "192.168.56.22:2181"                                                             
                            },                                                                                                             
                            "table": "t",                                                                                                  
                            "encoding": "utf-8",                                                                                           
                            "mode": "normal",                                                                                              
                            "column": [                                                                                                    
                                {                                                                                                           
                                    "name": "rowkey",                                                                                      
                                    "type": "string"                                                                                       
                                },                                                                                                         
                                {                                                                                                           
                                    "name": "f: name",                                                                                     
                                    "type": "string"                                                                                       
                                },                                                                                                         
                                 {                                                                                                          
                                    "name": "f: job",                                                                                      
                                    "type": "string"                                                                                       
                                }                                                                                                          
                                                                                                                                           
                            ],                                                                                                             
                            "range": {                                                                                                      
                                "startRowkey": "",                                                                                         
                                "endRowkey": "",                                                                                           
                                "isBinaryRowkey": true                                                                                     
                            }                                                                                                              
                        }                                                                                                                  
                    },                                                                                                                     
                    "writer": {                                                                                                             
                        "name":"mysqlwriter",                                                                                              
                        "parameter":{                                                                                                       
                            "writeMode":"insert",                                                                                          
                            "username":"root",                                                                                             
                            "password":"123456",                                                                                           
                            "column":[                                                                                                     
                                "id",                                                                                                      
                                "name",                                                                                                    
                                "job"                                                                                                      
                            ],                                                                                                             
                            "connection":[                                                                                                 
                                {                                                                                                           
                                    "jdbcUrl":"jdbc:mysql://192.168.56.161:3306/test?useUnicode=true&characterEncoding=utf8",              
                                    "table":[                                                                                              
                                        "t2"                                                                                               
                                    ]                                                                                                      
                                }                                                                                                          
                            ]                                                                                                              
                        }                                                                                                                  
                    }                                                                                                                      
                }                                                                                                                          
            ]                                                                                                                              
        }                                                                                                                                  
    }

# 4，调整任务内存 #

[root@localhost modules]# head /opt/datax/conf/core.json
    { 
        "entry": { 
            "jvm": "-Xms1G -Xmx1G",
            "environment": { }
        },

# 5，使用datax-web界面化操作datax #

简介：[https://github.com/WeiYe-Jing/datax-web][https_github.com_WeiYe-Jing_datax-web]  
安装文档：[https://github.com/WeiYe-Jing/datax-web/blob/master/doc/datax-web/datax-web-deploy.md][https_github.com_WeiYe-Jing_datax-web_blob_master_doc_datax-web_datax-web-deploy.md]  
任务调度管理：xxl-job 架构 [https://www.xuxueli.com/xxl-job/\#%E4%BA%94%E3%80%81%E6%80%BB%E4%BD%93%E8%AE%BE%E8%AE%A1][https_www.xuxueli.com_xxl-job_E4_BA_94_E3_80_81_E6_80_BB_E4_BD_93_E8_AE_BE_E8_AE_A1]

*  datax-web查看任务运行日志: passwd被加密，有时候需要获取明文密码快速测试数据库连接( datax-core模块：Engine类中有个过滤的方法filterSensitiveConfiguration，注释调用即可,再重新打包)

1, 下载源代码
    2, 版本2.1.2连接hbase报错：找到admin模块得pom.xml, 注释hbase-protocol这个依赖
    3，根据需要：修改DataxJsonServiceImpl，在hbase-writer时，jdbc-writer也自动生成列名
    4，修改bug: BaseQueryTool 传入sysdate()这种函数时报错
    5，重新编译打包
    
    #默认dashboard只统计7天数据，可以修改mytatis配置，使其全部统计
    [yskj@localhost ~]$ grep queryLogReport\" -A 6 /opt/datax-web-2.1.2/modules/datax-admin/conf/mybatis-mapper/JobLogReportMapper.xml
            <select id="queryLogReport" resultMap="JobLogReport">
                    SELECT <include refid="Base_Column_List" />
                    FROM job_log_report AS t
                    ORDER BY t.trigger_day ASC
            </select>

# 6，datax-web前后端分离部署 #

前端使用nginx启动，后端去掉js单独启动

## a, datax-admin启动参数： ##

![在这里插入图片描述][20200925161638295.png_pic_center]

## b, 查看datax-admin的jar内容 ##

[root@c7-docker ~]# jar -tvf /opt/datax-web-2.1.2/modules/datax-admin/lib/datax-admin-2.1.2.jar |grep static
         0 Fri Sep 25 10:19:26 CST 2020 static/
         0 Fri Sep 25 10:19:26 CST 2020 static/static/
         0 Fri Sep 25 10:19:24 CST 2020 static/static/css/
         0 Fri Sep 25 10:19:26 CST 2020 static/static/js/
         0 Fri Sep 25 10:19:26 CST 2020 static/static/img/
         0 Fri Sep 25 10:19:26 CST 2020 static/static/fonts/
      5518 Fri Sep 25 10:19:24 CST 2020 static/index.html
     11383 Fri Sep 25 10:19:24 CST 2020 static/avatar.jpg
       271 Fri Sep 25 10:19:24 CST 2020 static/static/css/chunk-35691e96.f68efe2a.css
       631 Fri Sep 25 10:19:24 CST 2020 static/static/css/chunk-4ba76b80.35874984.css
     17826 Fri Sep 25 10:19:24 CST 2020 static/static/css/chunk-7d41a2d3.55a106d0.css
      9955 Fri Sep 25 10:19:24 CST 2020 static/static/css/chunk-52071f51.9a886743.css
       888 Fri Sep 25 10:19:24 CST 2020 static/static/css/chunk-7ff5eb73.adc8ba5c.css
      4748 Fri Sep 25 10:19:24 CST 2020 static/static/css/chunk-556562e8.b043920c.css
       745 Fri Sep 25 10:19:24 CST 2020 static/static/css/chunk-bb42af12.13821f5e.css
      2399 Fri Sep 25 10:19:24 CST 2020 static/static/css/chunk-753b0532.41eeb29d.css
    251446 Fri Sep 25 10:19:24 CST 2020 static/static/css/app.b01abca2.css
    ....

## c, 打包datax-admin的时候，把resources/static目录移除，只打包后台相关内容 ##

## d, 把resources/static放到服务器的nginx目录下 ##

*  1， 配置nginx

[root@c7-docker ~]# cat /etc/nginx/conf.d/datax.conf
    server { 
        listen 82;
        # server_name _;
        location / { 
            try_files $uri / /index.html;
            alias /usr/share/nginx/html/datax-web/;
            expires 24h;
        }
    
        location /api/ { 
            proxy_pass http://localhost:65080;
              proxy_set_header X-Real-IP $remote_addr;
              proxy_set_header Host $host;
              proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        }
    }

*  2， 启动nginx, 和后台的datax-admin/executor服务  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70_pic_center]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70]: /images/20221124/686c870e96f84954b662a9d32a859309.png
[https_github.com_alibaba_DataX_blob_master_introduction.md]: https://github.com/alibaba/DataX/blob/master/introduction.md
[https_github.com_alibaba_DataX_blob_master_userGuid.md]: https://github.com/alibaba/DataX/blob/master/userGuid.md
[http_datax-opensource.oss-cn-hangzhou.aliyuncs.com_datax.tar.gz]: http://datax-opensource.oss-cn-hangzhou.aliyuncs.com/datax.tar.gz
[20200811163022237.png]: /images/20221124/b3d2d289e3cb4cd3b984b908885bffe7.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 1]: /images/20221124/39f927a7d5104244a70955be85065fa4.png
[https_github.com_alibaba_DataX]: https://github.com/alibaba/DataX
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 2]: /images/20221124/c59355b50c80488c82983342d83d96a4.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 3]: /images/20221124/7b7897022418402cbd3638216cf6760b.png
[2020081117150392.png]: /images/20221124/7b078da229024cf5bf80c3a328f2c0fb.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70 4]: /images/20221124/eb8512a5fc9248cfbc4fae2f9a77c92f.png
[https_github.com_WeiYe-Jing_datax-web]: https://github.com/WeiYe-Jing/datax-web
[https_github.com_WeiYe-Jing_datax-web_blob_master_doc_datax-web_datax-web-deploy.md]: https://github.com/WeiYe-Jing/datax-web/blob/master/doc/datax-web/datax-web-deploy.md
[https_www.xuxueli.com_xxl-job_E4_BA_94_E3_80_81_E6_80_BB_E4_BD_93_E8_AE_BE_E8_AE_A1]: https://www.xuxueli.com/xxl-job/#%E4%BA%94%E3%80%81%E6%80%BB%E4%BD%93%E8%AE%BE%E8%AE%A1
[20200925161638295.png_pic_center]: /images/20221124/536abdcf0e8341a5b8d755e449c5aa27.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2V5ZW9mZWFnbGU_size_16_color_FFFFFF_t_70_pic_center]: /images/20221124/003b987d4306491a98d7e7ffe81f23a6.png