├── .gitattributes ├── .gitignore ├── Dockerfile ├── LICENSE ├── README.en.md ├── README.md ├── config └── config.json ├── create_insert_data.sql ├── docker-compose.yml ├── images ├── 1.jpg ├── 2.jpg ├── 3.jpg ├── 4.jpg └── 5.jpg ├── pom.xml ├── release ├── config │ └── config.json ├── database-sync-1.3.jar └── lib │ ├── activation-1.1.jar │ ├── adal4j-1.0.0.jar │ ├── azure-core-0.9.3.jar │ ├── azure-keyvault-0.9.3.jar │ ├── bcprov-jdk15on-1.51.jar │ ├── checker-qual-3.8.0.jar │ ├── commons-codec-1.10.jar │ ├── commons-lang-2.6.jar │ ├── commons-lang3-3.3.1.jar │ ├── commons-logging-1.1.3.jar │ ├── db2jcc4-10.1.jar │ ├── error_prone_annotations-2.5.1.jar │ ├── failureaccess-1.0.1.jar │ ├── fastjson-1.2.47.jar │ ├── gson-2.2.4.jar │ ├── guava-30.1.1-jre.jar │ ├── hamcrest-core-1.3.jar │ ├── httpclient-4.3.6.jar │ ├── httpcore-4.3.3.jar │ ├── j2objc-annotations-1.3.jar │ ├── jackson-core-asl-1.9.2.jar │ ├── jackson-jaxrs-1.9.2.jar │ ├── jackson-mapper-asl-1.9.2.jar │ ├── jackson-xc-1.9.2.jar │ ├── javax.inject-1.jar │ ├── jaxb-api-2.2.2.jar │ ├── jaxb-impl-2.2.3-1.jar │ ├── jcip-annotations-1.0.jar │ ├── jersey-client-1.13.jar │ ├── jersey-core-1.13.jar │ ├── jersey-json-1.13.jar │ ├── jettison-1.1.jar │ ├── json-smart-1.1.1.jar │ ├── jsr305-3.0.2.jar │ ├── junit-4.13.1.jar │ ├── lang-tag-1.4.jar │ ├── listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar │ ├── log4j-api-2.14.1.jar │ ├── log4j-core-2.14.1.jar │ ├── mail-1.4.5.jar │ ├── mssql-jdbc-6.1.0.jre8.jar │ ├── mysql-connector-java-8.0.16.jar │ ├── nimbus-jose-jwt-3.1.2.jar │ ├── oauth2-oidc-sdk-4.5.jar │ ├── ojdbc10-19.3.0.0.jar │ ├── ojdbc8-19.3.0.0.jar │ ├── postgresql-42.2.5.jar │ ├── protobuf-java-3.6.1.jar │ ├── slf4j-api-1.7.5.jar │ ├── stax-api-1.0-2.jar │ ├── stax-api-1.0.1.jar │ └── ucp-19.3.0.0.jar ├── run.sh ├── src ├── main │ ├── java │ │ └── com │ │ │ └── data │ │ │ └── database │ │ │ ├── App.java │ │ │ ├── Config.java │ │ │ ├── api │ │ │ ├── DataSync.java │ │ │ ├── MyEnum.java │ │ │ └── impl │ │ │ │ ├── DataBaseSync.java │ │ │ │ ├── DataBaseSyncFactory.java │ │ │ │ ├── Db2DataBaseSync.java │ │ │ │ ├── OracleDataBaseSync.java │ │ │ │ └── PostgresDataBaseSync.java │ │ │ └── utils │ │ │ └── Tools.java │ └── resources │ │ └── log4j2.xml └── test │ └── java │ └── com │ └── data │ └── database │ ├── AppTest.java │ ├── ConfigTest.java │ └── DataBaseSyncTest.java └── start_docker.md /.gitattributes: -------------------------------------------------------------------------------- 1 | # When shell scripts end in CRLF, bash gives a cryptic error message 2 | *.sh text eol=lf 3 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # 2 | # Standard Maven .gitignore 3 | # 4 | target/ 5 | pom.xml.tag 6 | pom.xml.releaseBackup 7 | pom.xml.versionsBackup 8 | pom.xml.next 9 | release.properties 10 | dependency-reduced-pom.xml 11 | buildNumber.properties 12 | .mvn/timing.properties 13 | *.DS_Store 14 | # 15 | # IntelliJ 16 | # 17 | *.iml 18 | .idea/* 19 | !.idea/runConfigurations/ 20 | 21 | # 22 | # Visual Studio Code 23 | # 24 | .settings/ 25 | .classpath 26 | .project 27 | .vscode/ 28 | config/ 29 | logs/ 30 | src/note.md 31 | *.xlsx 32 | *.swp 33 | .editorconfig 34 | .travis.yml -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | FROM mysql:latest 2 | 3 | # 数据库名 4 | ENV MYSQL_DATABASE testdb 5 | 6 | # 默认根用户密码 7 | ENV MYSQL_ROOT_PASSWORD root 8 | 9 | # 拷贝初始化sql脚本 10 | COPY ./create_insert_data.sql /docker-entrypoint-initdb.d/ -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU AFFERO GENERAL PUBLIC LICENSE 2 | Version 3, 19 November 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU Affero General Public License is a free, copyleft license for 11 | software and other kinds of works, specifically designed to ensure 12 | cooperation with the community in the case of network server software. 13 | 14 | The licenses for most software and other practical works are designed 15 | to take away your freedom to share and change the works. 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If not, see . 647 | 648 | Also add information on how to contact you by electronic and paper mail. 649 | 650 | If your software can interact with users remotely through a computer 651 | network, you should also make sure that it provides a way for users to 652 | get its source. For example, if your program is a web application, its 653 | interface could display a "Source" link that leads users to an archive 654 | of the code. There are many ways you could offer source, and different 655 | solutions will be better for different programs; see section 13 for the 656 | specific requirements. 657 | 658 | You should also get your employer (if you work as a programmer) or school, 659 | if any, to sign a "copyright disclaimer" for the program, if necessary. 660 | For more information on this, and how to apply and follow the GNU AGPL, see 661 | . 662 | -------------------------------------------------------------------------------- /README.en.md: -------------------------------------------------------------------------------- 1 | # table-sync 2 | 3 | #### Description 4 | 传入一定的参数，即可在相同或不同的数据库间进行表的同步，包括表结构的同步及数据的同步。作业的调试工具进行调度，本项目旨在提供一种数据库间表同步的通用工具 5 | 6 | #### Software Architecture 7 | Software architecture description 8 | 9 | #### Installation 10 | 11 | 1. xxxx 12 | 2. xxxx 13 | 3. xxxx 14 | 15 | #### Instructions 16 | 17 | 1. xxxx 18 | 2. xxxx 19 | 3. xxxx 20 | 21 | #### Contribution 22 | 23 | 1. Fork the repository 24 | 2. Create Feat_xxx branch 25 | 3. Commit your code 26 | 4. Create Pull Request 27 | 28 | 29 | #### Gitee Feature 30 | 31 | 1. You can use Readme\_XXX.md to support different languages, such as Readme\_en.md, Readme\_zh.md 32 | 2. Gitee blog [blog.gitee.com](https://blog.gitee.com) 33 | 3. Explore open source project [https://gitee.com/explore](https://gitee.com/explore) 34 | 4. The most valuable open source project [GVP](https://gitee.com/gvp) 35 | 5. The manual of Gitee [https://gitee.com/help](https://gitee.com/help) 36 | 6. The most popular members [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/) 37 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # [database-sync](https://gitee.com/somenzz/database-sync) 2 | 3 | 这是为数据开发人员使用的辅助工具，用于数据库之间的表同步，说同步并不严谨，因为不是实时更新的，更确切的说法是复制，可以方便的从一个数据库复制表到另一个数据库，以下遇到同步的词请理解为复制。 4 | 5 | ## 介绍 6 | 7 | 需求背景： 8 | 9 | 有很多业务系统，他们的数据库是相互独立的，需要把这些数据归集在一个数据库中（数据仓库），以便做数据统计和分析。希望能有这样的工具，输入数据库名，表名就可以将数据从源数据库拷贝到目标数据库中。具体需求如下： 10 |  11 | - 能自动同步表结构，如：源表扩字段，目标表自动扩字段。 12 | - 支持增量或全量同步数据，可以仅同步某个日期之后的数据。 13 | - 支持指定字段同步，只同步关心的那些字段。 14 | - 支持主流的关系型数据库: mysql、db2、postgresql、oracle、sqlserver 15 | - 源表和目标表表名可以不同，字段名也可以不同（已存在目标表的情况下） 16 | 17 | 因为自己要用，我就自己写了一个，顺便熟悉下 java 开发（之前一直用 Python），本程序的最大用处就是构建集市或数仓所需要的基础层数据源，欢迎感兴趣的朋友一起加入。 18 | 19 | ## 程序的使用方法 20 | 21 | ### Docker 方式： 22 | 23 | 这里用到三个容器: 24 | - app 也就是主程序本身，app 容器使用的程序文件就是 release 目录下的文件，已经做了绑定。 25 | - mysql 测试用的数据库，已提前放好了 7000 条测试数据。 26 | - postgres 测试用的数据库，没有数据。 27 | 28 | 先部署，执行 `docker-compose up -d` 就自动完成了部署： 29 | 30 | ```sh 31 | $ git clone https://github.com/somenzz/database-sync.git 32 | $ cd database-sync 33 | $ docker-compose up -d 34 | Creating database-sync_postgres_1 ... done 35 | Creating database-sync_app_1 ... done 36 | Creating database-sync_mysql_1 ... done 37 | ``` 38 | 这样三个容器就启动了，使用 `docker ps -a |grep database-sync` 可以查看到三个正在运行的容器： 39 | 40 | ![](images/1.jpg) 41 | 42 | 现在直接使用 `docker exec -i database-sync_app_1 java -jar database-sync-1.3.jar` 来执行程序： 43 | 44 | ![](images/2.jpg) 45 | 46 | mysql 容器已有测试数据，`release/config/config.json` 已经配置好了数据库的连接，因此可以直接试用，以下演示的是从 mysql 复制表和数据到 postgres： 47 | 48 | #### 1. 全量复制，自动建表： 49 | 50 | ```sh 51 | docker exec -i database-sync_app_1 java -jar database-sync-1.3.jar mysql_test testdb somenzz_users postgres_test public users --sync-ddl 52 | ``` 53 | ![](images/3.jpg) 54 | 55 | 56 | 如果你不想每次都敲 `docker exec -i database-sync_app_1` ，可以进入容器内部执行： 57 | 58 | ```sh 59 | (py38env) ➜ database-sync git:(master) ✗ docker exec -it database-sync_app_1 /bin/bash 60 | root@063b1dc76fe1:/app# ls 61 | config database-sync-1.3.jar lib logs 62 | root@063b1dc76fe1:/app# java -jar database-sync-1.3.jar mysql_test testdb somenzz_users postgres_test public users -sd 63 | ``` 64 | 65 | #### 2. 增量复制： 66 | 67 | ```sh 68 | root@063b1dc76fe1:/app# java -jar database-sync-1.3.jar mysql_test testdb somenzz_users postgres_test public zz_users "create_at >= '2018-01-09'" 69 | ``` 70 | ![](images/4.jpg) 71 | 72 | #### 3. 指定字段： 73 | 74 | ```sh 75 | root@063b1dc76fe1:/app# java -jar database-sync-1.3.jar mysql_test testdb somenzz_users postgres_test public zz_users -ff="user_id,name,age" -tf="user_id,name,age" "create_at >= '2018-01-09'" 76 | ``` 77 | ![](images/5.jpg) 78 | 79 | 80 | 81 | ### 普通方式 82 | 83 | 程序运行前确保已安装 java 1.8 或后续版本，已经安装 maven，然后 clone 源码，打包： 84 | 85 | ```sh 86 | git clone https://gitee.com/somenzz/database-sync.git 87 | cd database-sync 88 | mvn package 89 | ``` 90 | 此时你会看到 target 目录，将 target 下的 lib 目录 和 database-sync-1.3.jar 复制出来，放在同一目录下，然后再创建一个 config 目录，在 config 下新建一个 config.json 文件写入配置信息，然后将这个目录压缩，就可以传到服务器运行了，请注意先充分测试，jdk 要求 1.8+ 91 | 92 | ```sh 93 | [aaron@hdp002 /home/aaron/App/Java/database-sync]$ ls -ltr 94 | total 48 95 | drwxr-xr-x 2 aaron aaron 4096 Apr 23 2020 lib 96 | -rwxrw-r-- 1 aaron aaron 157 Jun 23 2020 run.sh 97 | drwxrwxr-x 2 aaron aaron 4096 Jul 3 2020 logs 98 | -rw-rw-r-- 1 aaron aaron 24773 Mar 16 2021 database-sync-1.3.jar 99 | drwxr-xr-x 7 aaron aaron 4096 Aug 3 2020 jdk1.8.0_231 100 | drwxrwxr-x 2 aaron aaron 4096 Feb 19 17:07 config 101 | ``` 102 | 103 | 你也可以直接下载我打包好的使用。 104 | 105 | 程序名称叫 database-sync，运行方式是这样的： 106 | 107 | ```sh 108 | (py38env) ➜ target git:(master) ✗ java -jar database-sync-1.3.jar -h 109 | Usage: 110 | java -jar database-sync-1.0.jar [options] {fromDB} {fromSchema} {fromTable} {toDB} {toSchema} {toTable} [whereClause] 111 | options: 112 | -v or --version :print version then exit 113 | -h or --help :print help info then exit 114 | -sd or --sync-ddl :auto synchronize table structure 115 | -ff=col1,col2 or --from-fields=col1,col2 :specify from fields 116 | -tf=col3,col4 or --to-fields=col3,col4 :specify to fields 117 | --no-feature or -nf :will not use database's feature 118 | ``` 119 | 120 | 121 | 帮助说明： 122 | 123 | [] 中括号里的内容表示选填，例如 [options] 表示 options 下的参数不是必须的。 124 | 125 | 1、其中 options 参数解释如下： 126 | 127 | - `--sync-ddl` 或者 `-sd` : 加入该参数会自动同步表结构。 128 | - `--from_fields=col1,col2` 或者 `-ff=col1,col2` : 指定原表的字段序列，注意 = 前后不能有空格。 129 | - `--to_fields=col3,col4` 或者 `-tf=col3,col4` : 指定目标表的字段序列，注意 = 前后不能有空格。 130 | 131 | 2、whereClause 表示 where 条件，用于增量更新，程序再插入数据前先按照 where 条件进行清理数据，然后按照 where 条件从原表进行读取数据。 whereClause 最好使用双引号包起来，表示一个完整的参数。如："jyrq='2020-12-31'" 132 | 133 | 134 | {} 大括号里的内容表示必填。 135 | 136 | `fromDb` 是指配置在 config.json 的数据库信息的键，假如有以下配置文件： 137 | 138 | ```json 139 | { 140 | "postgres":{ 141 | "type":"postgres", 142 | "driver":"org.postgresql.Driver", 143 | "url":"jdbc:postgresql://localhost:5432/apidb", 144 | "user": "postgres", 145 | "password":"aaron", 146 | "encoding": "utf-8" 147 | }, 148 | 149 | 150 | "aarondb":{ 151 | "type":"mysql", 152 | "driver":"com.mysql.cj.jdbc.Driver", 153 | "url":"jdbc:mysql://localhost:3306/aarondb?useSSL=false&characterEncoding=utf8&serverTimezone=UTC", 154 | "user": "aaron", 155 | "password":"aaron" 156 | } 157 | } 158 | ``` 159 | 160 | fromDb、toDb 可以是 aarondb 或者 postgres。 161 | 162 | - `fromSchema` 读取数据的表的模式名，可以填写 "". 163 | - `fromTable` 读取数据的表明，必须提供。 164 | - `toSchema` 写入数据表的模式名，可以填写 ""，可以和 fromSchema 不同. 165 | - `toTable` 写入数据表的表名，必须提供，当写入表不存在时，自动按读取表的表结构创建，可以和 fromTable 不同。 166 | 167 | 168 | **全量、增量、指定字段的使用样例请参考 Docker 方式。** 169 | 170 | ## 配置文件说明 171 | 172 | 配置文件位于 config/config.json，如下所示： 173 | 174 | ```json 175 | 176 | { 177 | "sjwb":{ 178 | "type":"db2", 179 | "driver":"com.ibm.db2.jcc.DB2Driver", 180 | "url":"jdbc:db2://192.168.1.*:50000/wbsj", 181 | "user": "****", 182 | "password":"****", 183 | "tbspace_ddl": "/*这里可以放置指定表空间的语句*/", 184 | "encoding":"utf-8" 185 | }, 186 | 187 | "dw_test":{ 188 | "type":"db2", 189 | "driver":"com.ibm.db2.jcc.DB2Driver", 190 | "url":"jdbc:db2://192.168.169.*:60990/dwdb", 191 | "user": "****", 192 | "password":"****", 193 | "encoding":"gbk" 194 | }, 195 | 196 | "postgres":{ 197 | "type":"postgres", 198 | "driver":"org.postgresql.Driver", 199 | "url":"jdbc:postgresql://10.99.**.**:5432/apidb", 200 | "user": "****", 201 | "password":"****", 202 | "tbspace_ddl": "WITH (compression=no, orientation=orc, version=0.12)\ntablespace hdfs\n", 203 | "encoding":"utf-8" 204 | }, 205 | 206 | 207 | "aarondb":{ 208 | "type":"mysql", 209 | "driver":"com.mysql.cj.jdbc.Driver", 210 | "url":"jdbc:mysql://localhost:3306/aarondb?useSSL=false&characterEncoding=utf8&serverTimezone=UTC", 211 | "user": "****", 212 | "password":"****", 213 | "encoding":"utf-8" 214 | }, 215 | 216 | "buffer-rows": 100000 217 | } 218 | 219 | ``` 220 | 221 | 配置文件说明： 222 | 223 | `type` 表示数据库类型，均为小写： 224 | 225 | - mysql 226 | - postgres 227 | - db2 228 | - oracle 229 | - sqlserver 230 | 231 | `tbspace_ddl` 表示自动建表时指定的表空间，该选项不是必需的，可以删除。 232 | 233 | `buffer-rows` 表示读取多少行时一块写入目标数据库，根据服务器内存大小自己做调整，100000 行提交一次满足大多数情况了。 234 | 235 | `encoding` 用于表结构同步时确定字段长度，比如说源库的字段是 gbk varchar(10)，目标库是 utf-8，那么就应该为 varchar(15)，这样字段有中文就不会出现截断或插入失败问题，程序这里 2 倍，也就是 varchar(20) ，这样字段长度不会出现小数位。 236 | 237 | 238 | ## 编写目的 239 | 240 | 提高数据库间表的复制效率，如果不需要对源表字段进行转换，就丢掉低效的 datastage 和 kettle 吧。 -------------------------------------------------------------------------------- /config/config.json: -------------------------------------------------------------------------------- 1 | { 2 | "mysql_test": { 3 | "type": "mysql", 4 | "driver": "com.mysql.cj.jdbc.Driver", 5 | "url": "jdbc:mysql://mysql:3306/testdb", 6 | "user": "root", 7 | "password": "root", 8 | "encoding": "utf-8" 9 | }, 10 | 11 | "postgres_test": { 12 | "type": "postgres", 13 | "driver": "org.postgresql.Driver", 14 | "url": "jdbc:postgresql://postgres:5432/postgres", 15 | "user": "postgres", 16 | "password": "root", 17 | "tbspace_ddl": "/*WITH (compression=no, orientation=orc, version=0.12)\ntablespace hdfs\n*/", 18 | "encoding": "utf-8" 19 | }, 20 | 21 | "dw_test": { 22 | "type": "dw", 23 | "driver": "com.ibm.db2.jcc.DB2Driver", 24 | "url": "jdbc:db2://192.168.168.169:60000/dwdb", 25 | "user": "dw", 26 | "password": "dw", 27 | "tbspace_ddl": "IN TBS_DATA\nINDEX IN TBS_INDEX\n", 28 | "encoding": "gbk" 29 | }, 30 | 31 | "oracle_test":{ 32 | "type":"oracle", 33 | "driver":"oracle.jdbc.driver.OracleDriver", 34 | "url":"jdbc:oracle:thin:@192.168.168.196:1521:orcl", 35 | "user": "ocrm", 36 | "password":"ocrm", 37 | "encoding": "utf-8" 38 | }, 39 | 40 | 41 | "buffer-rows": 1000 42 | } 43 | -------------------------------------------------------------------------------- /docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: "3.7" 2 | services: 3 | app: 4 | image: java:latest 5 | working_dir: /app 6 | volumes: 7 | - ./release:/app 8 | command: /bin/bash -c "while true;do sleep 1;done" #为了让容器不退出，写个循环 sleep 9 | mysql: 10 | image: somenzz/mysql:8.0 #含有测试数据 11 | environment: 12 | MYSQL_ROOT_PASSWORD: root 13 | MYSQL_DATABASE: testdb 14 | postgres: 15 | image: postgres:latest 16 | environment: 17 | POSTGRES_PASSWORD: root -------------------------------------------------------------------------------- /images/1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/somenzz/database-sync/586fab23bfa26c24ea0c40385ddb15c898c20da3/images/1.jpg -------------------------------------------------------------------------------- /images/2.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/somenzz/database-sync/586fab23bfa26c24ea0c40385ddb15c898c20da3/images/2.jpg 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-------------------------------------------------------------------------------- 1 | 2 | 4.0.0 3 | com.data.database 4 | database-sync 5 | 1.3 6 | 7 | 1.8 8 | 1.8 9 | UTF-8 10 | 11 | 12 | 13 | 25 | 26 | maven_nexus 27 | maven_nexus 28 | default 29 | https://artifacts.alfresco.com/nexus/content/repositories/public/ 30 | 31 | true 32 | 33 | 34 | 35 | maven.oracle.com 36 | oracle-maven-repo 37 | https://maven.oracle.com 38 | 39 | true 40 | never 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | maven.oracle.com 49 | oracle-maven-repo 50 | https://maven.oracle.com 51 | default 52 | 53 | true 54 | never 55 | 56 | 57 | 58 | 59 | 60 | 61 | junit 62 | junit 63 | 4.13.1 64 | test 65 | 66 | 67 | mysql 68 | mysql-connector-java 69 | 8.0.16 70 | runtime 71 | 72 | 73 | 74 | org.postgresql 75 | postgresql 76 | 42.2.5 77 | 78 | 79 | 80 | 81 | com.google.guava 82 | guava 83 | [30.0-jre,) 84 | 85 | 86 | 87 | com.alibaba 88 | fastjson 89 | 1.2.47 90 | 91 | 92 | 93 | 94 | com.microsoft.sqlserver 95 | mssql-jdbc 96 | 6.1.0.jre8 97 | 98 | 99 | 100 | org.apache.logging.log4j 101 | log4j-api 102 | 2.14.1 103 | 104 | 105 | org.apache.logging.log4j 106 | log4j-core 107 | 2.14.1 108 | 109 | 110 | 111 | 116 | 117 | 118 | 119 | com.oracle.jdbc 120 | ojdbc8 121 | 19.3.0.0 122 | 123 | 124 | 125 | 126 | com.ibm.db2.jcc 127 | db2jcc4 128 | 10.1 129 | runtime 130 | 131 | 132 | 133 | 134 | 135 | 136 | 137 | 138 | org.apache.maven.plugins 139 | maven-checkstyle-plugin 140 | 3.0.0 141 | 142 | 143 | com.puppycrawl.tools 144 | checkstyle 145 | 8.29 146 | 147 | 148 | com.github.ngeor 149 | checkstyle-rules 150 | 1.1.0 151 | 152 | 153 | 154 | com/github/ngeor/checkstyle.xml 155 | true 156 | 157 | 158 | 159 | 160 | 161 | 162 | 163 | 164 | org.apache.maven.plugins 165 | maven-checkstyle-plugin 166 | 167 | 168 | 172 | 173 | org.jacoco 174 | jacoco-maven-plugin 175 | 0.8.1 176 | 177 | 178 | 179 | 180 | 181 | 182 | org.apache.maven.plugins 183 | maven-jar-plugin 184 | 3.0.2 185 | 186 | 187 | 188 | true 189 | lib/ 190 | com.data.database.App 191 | 192 | 193 | 194 | 195 | 196 | 197 | 198 | org.apache.maven.plugins 199 | maven-dependency-plugin 200 | 3.0.1 201 | 202 | 203 | copy-dependencies 204 | package 205 | 206 | copy-dependencies 207 | 208 | 209 | ${project.build.directory}/lib 210 | 211 | 212 | 213 | 214 | 215 | 216 | 217 | 218 | 219 | org.apache.maven.plugins 220 | maven-javadoc-plugin 221 | 3.0.0 222 | 223 | 224 | org.apache.maven.plugins 225 | maven-checkstyle-plugin 226 | 227 | com/github/ngeor/checkstyle.xml 228 | true 229 | 230 | 231 | 232 | 233 | 234 | 235 | 240 | 241 | jacoco 242 | 243 | 244 | env.TRAVIS 245 | 246 | 247 | 248 | 249 | 250 | org.jacoco 251 | jacoco-maven-plugin 252 | 253 | 254 | prepare-agent 255 | validate 256 | 257 | prepare-agent 258 | 259 | 260 | 261 | report 262 | test 263 | 264 | report 265 | 266 | 267 | 268 | 269 | 270 | 271 | 272 | 273 | 278 | 279 | travis 280 | 281 | 282 | env.TRAVIS 283 | 284 | 285 | 286 | 287 | 288 | org.apache.maven.plugins 289 | maven-checkstyle-plugin 290 | 291 | 292 | checkstyle 293 | test 294 | 295 | check 296 | 297 | 298 | 299 | 300 | 301 | org.eluder.coveralls 302 | coveralls-maven-plugin 303 | 4.3.0 304 | 305 | 306 | 307 | 308 | 309 | -------------------------------------------------------------------------------- /release/config/config.json: -------------------------------------------------------------------------------- 1 | { 2 | "mysql_test": { 3 | "type": "mysql", 4 | "driver": "com.mysql.cj.jdbc.Driver", 5 | "url": "jdbc:mysql://mysql:3306/testdb", 6 | "user": "root", 7 | "password": "root", 8 | "encoding": "utf-8" 9 | }, 10 | 11 | "postgres_test": { 12 | "type": "postgres", 13 | "driver": "org.postgresql.Driver", 14 | "url": "jdbc:postgresql://postgres:5432/postgres", 15 | "user": "postgres", 16 | "password": "root", 17 | "tbspace_ddl": "/*WITH (compression=no, orientation=orc, version=0.12)\ntablespace hdfs\n*/", 18 | "encoding": "utf-8" 19 | }, 20 | 21 | "dw_test": { 22 | "type": "dw", 23 | "driver": "com.ibm.db2.jcc.DB2Driver", 24 | "url": "jdbc:db2://192.168.168.169:60000/dwdb", 25 | "user": "dw", 26 | "password": "dw", 27 | "tbspace_ddl": "IN TBS_DATA\nINDEX IN TBS_INDEX\n", 28 | "encoding": "gbk" 29 | }, 30 | 31 | "oracle_test":{ 32 | "type":"oracle", 33 | "driver":"oracle.jdbc.driver.OracleDriver", 34 | "url":"jdbc:oracle:thin:@192.168.168.196:1521:orcl", 35 | "user": "ocrm", 36 | "password":"ocrm", 37 | "encoding": "utf-8" 38 | }, 39 | 40 | 41 | "buffer-rows": 1000 42 | } 43 | -------------------------------------------------------------------------------- /release/database-sync-1.3.jar: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/somenzz/database-sync/586fab23bfa26c24ea0c40385ddb15c898c20da3/release/database-sync-1.3.jar -------------------------------------------------------------------------------- /release/lib/activation-1.1.jar: 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| 3 | import java.sql.*; 4 | 5 | import com.data.database.utils.Tools; 6 | import java.io.IOException; 7 | 8 | import com.data.database.api.impl.DataBaseSyncFactory; 9 | import com.data.database.api.impl.DataBaseSync; 10 | import java.util.ArrayList; 11 | import java.util.HashMap; 12 | import java.util.Map.Entry; 13 | import java.util.Iterator; 14 | import java.util.List; 15 | import com.data.database.api.MyEnum.ColSizeTimes; 16 | 17 | import org.apache.logging.log4j.Logger; 18 | import org.apache.logging.log4j.LogManager; 19 | 20 | /** 21 | * 数据库表同步主程序 22 | */ 23 | public final class App { 24 | 25 | private static final Logger logger = LogManager.getLogger(App.class); 26 | 27 | private String fromDBId; //源数据库标识符 28 | private String fromSchema; //源数据库中的模式名 29 | private String fromTable; //源数据库表名 30 | private String toDBId; //目标数据库标识符 31 | private String toSchema; //目标数据库的模式名 32 | private String toTable; //目标数据库的表名 33 | 34 | //可选参数 35 | private boolean isSyncTableDDL = false;// 默认不同步表结构 36 | private boolean isSpecificFeture = true; //某些具体数据库会有自己特定的支持，比如 PostGressSql 中的 copy 模式会比 jdbc 一行一行插入要快的多。为 true 表示优先使用具体特性，否则仅使用 jdbc 同步。 37 | private String whereClause; //where 子句的条件，适用于增量同步，应当检查安全性，防止sql注入 38 | private List toTableFields; /* 指定插入目标表哪些字段 */ 39 | private List fromTableFields; /* 指定插入目标表哪些字段 */ 40 | 41 | public String getFromDBId(){ 42 | return this.fromDBId; 43 | } 44 | public String getFromSchema(){ 45 | return this.fromSchema; 46 | } 47 | public String getFromTable(){ 48 | return this.fromTable; 49 | } 50 | public String getToDbId(){ 51 | return this.toDBId; 52 | } 53 | public String getToSchema(){ 54 | return this.toSchema; 55 | } 56 | public String getToTable(){ 57 | return this.toTable; 58 | } 59 | 60 | 61 | public boolean getIsSyncTableDDL(){ 62 | return this.isSyncTableDDL; 63 | } 64 | 65 | public boolean getIsSpecificFeture(){ 66 | return this.isSpecificFeture; 67 | } 68 | 69 | public List getFromTableFields(){ 70 | return this.fromTableFields; 71 | } 72 | public List getToTableFields(){ 73 | return this.toTableFields; 74 | } 75 | 76 | public String getWhereClause(){ 77 | return this.whereClause; 78 | } 79 | 80 | /*处理并检查输入的参数，如果返回 false，则在主函数中退出程序*/ 81 | public boolean handleCommandLineArgs(String[] args){ 82 | List argList = new ArrayList<>(); 83 | for (String arg : args) { 84 | if ("--version".equals(arg) || "-v".equals(arg)) { 85 | System.out.println("database-sync v1.3"); 86 | return false; 87 | } else if ("--help".equals(arg) || "-h".equals(arg)) { 88 | printHelp(); 89 | return false; 90 | } else if ("--sync-ddl".equals(arg) || "-sd".equals(arg)) { 91 | //同步表结构一般情况下比较危险，默认不同步表结构 92 | this.isSyncTableDDL = true; 93 | } else if ("--no-feature".equals(arg) || "-nf".equals(arg)) { 94 | this.isSpecificFeture = false; 95 | 96 | } else if (arg.startsWith("--to-fields=") || arg.startsWith("-tf=")) { 97 | String fields = arg.replace("--to-fields=", "").replace("-tf=", ""); 98 | for (String s : fields.split(",")) { 99 | this.toTableFields.add(s); 100 | } 101 | } else if (arg.startsWith("--from-fields=") || arg.startsWith("-ff=")) { 102 | String fields = arg.replace("--from-fields=", "").replace("-ff=", ""); 103 | for (String s : fields.split(",")) { 104 | this.fromTableFields.add(s); 105 | } 106 | } else { 107 | argList.add(arg); 108 | } 109 | } 110 | if (argList.size() < 6) { 111 | printHelp(); 112 | return false; 113 | } 114 | 115 | 116 | this.fromDBId = argList.get(0); 117 | this.fromSchema = argList.get(1); 118 | this.fromTable = argList.get(2); 119 | this.toDBId = argList.get(3); 120 | this.toSchema = argList.get(4); 121 | this.toTable = argList.get(5); 122 | this.whereClause = argList.size() >= 7 ? argList.get(6) : ""; 123 | 124 | if (this.fromDBId.equalsIgnoreCase(this.toDBId) && this.fromSchema.equalsIgnoreCase(this.toSchema) 125 | && this.fromTable.equalsIgnoreCase(this.toTable)) { 126 | System.out.println("You don't need to do that."); 127 | return false; 128 | } 129 | 130 | this.whereClause = this.whereClause.replaceAll("(?i)where", ""); 131 | 132 | String paramsPrint = String.format( 133 | "Your input params are:\n" 134 | + "<=== fromDb=%s, fromSchema=%s, fromTable=%s, fromTableFields=%s, whereClause=%s\n" 135 | + "===> toDb=%s, toSchema=%s, toTable=%s, toTableFields=%s", 136 | this.fromDBId, this.fromSchema, this.fromTable, 137 | this.fromTableFields.size() > 0 ? String.join(",", this.fromTableFields) : "[toTableFields]", this.whereClause, this.toDBId, 138 | this.toSchema, this.toTable, this.toTableFields.size() > 0 ? String.join(",", this.toTableFields) : "*"); 139 | 140 | logger.info(paramsPrint); 141 | logger.info("argList=" + String.join(",", argList)); 142 | 143 | return true; 144 | } 145 | 146 | 147 | private App() { 148 | //构造函数，初始化使用 149 | this.toTableFields = new ArrayList<>(); 150 | this.fromTableFields = new ArrayList<>(); 151 | } 152 | 153 | public static App getInstance(){ 154 | //for test 155 | return new App(); 156 | } 157 | 158 | /** 159 | * 比较原表与目标表的表结构，获取表结构同步语句：添加、删除字段，扩长度等等。 160 | * 161 | * @param args The arguments of the program. 162 | * @throws ClassNotFoundException 163 | * @throws SQLException 164 | */ 165 | 166 | public static String getAlterSqlFromMetaData(String toType, String toSchema, String toTable, ResultSet fromColumnMeta, 167 | ResultSet toColumnMeta, ColSizeTimes colSizeTimes) throws SQLException { 168 | StringBuilder sb = new StringBuilder(); 169 | 170 | HashMap> fromColMap = new HashMap>(); 171 | HashMap> toColMap = new HashMap>(); 172 | 173 | while (fromColumnMeta.next()) { 174 | HashMap fromMap = new HashMap(); 175 | fromMap.put("DATA_TYPE", fromColumnMeta.getInt("DATA_TYPE")); 176 | fromMap.put("TYPE_NAME", fromColumnMeta.getString("TYPE_NAME")); 177 | fromMap.put("COLUMN_SIZE", fromColumnMeta.getInt("COLUMN_SIZE")); 178 | fromMap.put("DECIMAL_DIGITS", fromColumnMeta.getInt("DECIMAL_DIGITS")); 179 | String colName = fromColumnMeta.getString("COLUMN_NAME"); 180 | fromColMap.put(colName.toUpperCase(), fromMap); 181 | } 182 | 183 | while (toColumnMeta.next()) { 184 | HashMap toMap = new HashMap(); 185 | toMap.put("DATA_TYPE", toColumnMeta.getInt("DATA_TYPE")); 186 | toMap.put("TYPE_NAME", toColumnMeta.getString("TYPE_NAME")); 187 | toMap.put("COLUMN_SIZE", toColumnMeta.getInt("COLUMN_SIZE")); 188 | toMap.put("DECIMAL_DIGITS", toColumnMeta.getInt("DECIMAL_DIGITS")); 189 | String colName = toColumnMeta.getString("COLUMN_NAME"); 190 | toColMap.put(colName.toUpperCase(), toMap); 191 | } 192 | 193 | Iterator>> toIterator = toColMap.entrySet().iterator(); 194 | Iterator>> fromIterator = fromColMap.entrySet().iterator(); 195 | 196 | while (toIterator.hasNext()) { 197 | // 以目标字段为基准进行检查 198 | Entry> toEntry = toIterator.next(); 199 | String toColName = toEntry.getKey(); 200 | HashMap toMap = toEntry.getValue(); 201 | HashMap fromMap = fromColMap.get(toColName); 202 | 203 | if (fromMap == null) { 204 | // 原表找不到字段，说明该字段被删除，删除的sql语句是通用的，执行完直接比较下一个 205 | sb.append(String.format("alter table %s.%s drop column %s ;", toSchema, toTable, toColName)); 206 | continue; 207 | } 208 | // 当两者不一致时以原表为准。 209 | Integer colType = (Integer) fromMap.get("DATA_TYPE"); 210 | if (colType == Types.CHAR || colType == Types.VARCHAR) {// 处理字符串类型 211 | Integer fromColLength = (Integer) fromMap.get("COLUMN_SIZE") * colSizeTimes.getTimes(); 212 | Integer toColLength = (Integer) toMap.get("COLUMN_SIZE"); 213 | if (fromColLength > toColLength) { 214 | //针对不同数据库使用与之匹配的 sql 语句 215 | if ("db2".equals(toType)) { 216 | sb.append(String.format("alter table %s.%s alter column %s set data type varchar(%d);", 217 | toSchema, toTable, toColName, fromColLength)); 218 | } else if ("mysql".equals(toType) || "oracle".equals(toType)) { 219 | sb.append(String.format("alter table %s.%s modify column %s varchar(%d);", toSchema, toTable, 220 | toColName, fromColLength)); 221 | } else if ("postgres".equals(toType)) { 222 | sb.append(String.format("alter table %s.%s alter column %s type character varying(%d);", 223 | toSchema, toTable, toColName, fromColLength)); 224 | } else{ 225 | sb.append(String.format("alter table %s.%s alter column %s type character varying(%d);", 226 | toSchema, toTable, toColName, fromColLength)); 227 | } 228 | 229 | } 230 | } else if (colType == Types.DECIMAL) {// 处理小数字段类型 231 | Integer fromColLength = (Integer) fromMap.get("COLUMN_SIZE"); 232 | Integer fromColDigitLength = (Integer) fromMap.get("DECIMAL_DIGITS"); 233 | Integer toColLength = (Integer) toMap.get("COLUMN_SIZE"); 234 | Integer toColDigitLength = (Integer) toMap.get("DECIMAL_DIGITS"); 235 | 236 | if (fromColLength > toColLength || fromColDigitLength > toColDigitLength) { 237 | if ("db2".equals(toType)) { 238 | sb.append(String.format("alter table %s.%s alter column %s set data type decimal(%d,%d);", 239 | toSchema, toTable, toColName, fromColLength, fromColDigitLength)); 240 | } else if ("mysql".equals(toType) || "oracle".equals(toType)) { 241 | sb.append(String.format("alter table %s.%s modify column %s decimal(%d,%d);", toSchema, toTable, 242 | toColName, fromColLength, fromColDigitLength)); 243 | } else if ("postgres".equals(toType)) { 244 | sb.append(String.format("alter table %s.%s alter column %s type decimal(%d,%d);", toSchema, 245 | toTable, toColName, fromColLength, fromColDigitLength)); 246 | } else{ 247 | sb.append(String.format("alter table %s.%s alter column %s type decimal(%d,%d);", toSchema, 248 | toTable, toColName, fromColLength, fromColDigitLength)); 249 | } 250 | 251 | } 252 | } 253 | } 254 | 255 | // 自动增加字段，以原表为主 256 | while (fromIterator.hasNext()) { 257 | Entry> fromEntry = fromIterator.next(); 258 | String fromColName = fromEntry.getKey(); 259 | HashMap fromMap = fromEntry.getValue(); 260 | HashMap toMap = toColMap.get(fromColName); 261 | 262 | if (toMap == null) { 263 | String typeName = (String) fromMap.get("TYPE_NAME"); 264 | Integer colType = (Integer) fromMap.get("DATA_TYPE"); 265 | Integer fromColLength = (Integer) fromMap.get("COLUMN_SIZE"); 266 | Integer fromColDigitLength = (Integer) fromMap.get("DECIMAL_DIGITS"); 267 | switch (colType) { 268 | case Types.CHAR: 269 | case Types.VARCHAR: 270 | sb.append(String.format("alter table %s.%s add column %s varchar(%d);", toSchema, toTable, 271 | fromColName, fromColLength * colSizeTimes.getTimes())); 272 | break; 273 | case Types.DECIMAL: 274 | sb.append(String.format("alter table %s.%s add column %s decimal(%d,%d);", toSchema, toTable, 275 | fromColName, fromColLength, fromColDigitLength)); 276 | break; 277 | default: 278 | sb.append(String.format("alter table %s.%s add column %s %s;", toSchema, toTable, fromColName, 279 | typeName)); 280 | } 281 | } 282 | 283 | } 284 | return sb.toString(); 285 | 286 | } 287 | 288 | public static void printHelp() { 289 | System.out.println( 290 | "Usage: \njava -jar database-sync-1.0.jar [options] {fromDB} {fromSchema} {fromTable} {toDB} {toSchema} {toTable} [whereClause]"); 291 | System.out.println("options:"); 292 | System.out.println(" -v or --version :print version then exit"); 293 | System.out.println(" -h or --help :print help info then exit"); 294 | System.out.println(" -sd or --sync-ddl :auto synchronize table structure"); 295 | System.out.println(" -ff=col1,col2 or --from-fields=col1,col2 :specify from fields"); 296 | System.out.println(" -tf=col3,col4 or --to-fields=col3,col4 :specify to fields"); 297 | System.out.println(" --no-feature or -nf :will not use database's feature"); 298 | 299 | } 300 | 301 | public static void main(String[] args) throws ClassNotFoundException, IOException, SQLException { 302 | App app = new App(); 303 | if(!app.handleCommandLineArgs(args)){ 304 | return; 305 | } 306 | 307 | String currentPath = System.getProperty("user.dir"); 308 | logger.info("current path: " + currentPath); 309 | logger.info( 310 | String.format("begin (%s)%s.%s -> (%s)%s.%s", app.getFromDBId(), app.getFromSchema(), app.getFromTable(), app.getToDbId(), app.getToSchema(), app.getToTable())); 311 | 312 | Config configFrom = Config.getInstance(app.getFromDBId()); 313 | Config configTo = Config.getInstance(app.getToDbId()); 314 | 315 | try { 316 | 317 | //读取都采用默认的 jdbc 318 | DataBaseSync fromDataBase = DataBaseSyncFactory.getInstance(configFrom, false); 319 | 320 | //写入的话，可以根据传入参数，决定是否优先使用数据库具体特性 321 | DataBaseSync toDataBase = DataBaseSyncFactory.getInstance(configTo,app.getIsSpecificFeture()); 322 | 323 | List fromColumnNames = new ArrayList<>(); 324 | List toColumnNames = new ArrayList<>(); 325 | 326 | // 原表必须存在 327 | if (!fromDataBase.existsTable(app.getFromSchema(), app.getFromTable())) { 328 | logger.info(String.format("fromTable -> (%s) %s.%s not exists! Program exit.", app.getFromDBId(), app.getFromSchema(), 329 | app.getFromTable())); 330 | return; 331 | } 332 | 333 | if (!app.getIsSyncTableDDL()) { 334 | // 如果不同步表结构，那么目标表必须存在 335 | if (!toDataBase.existsTable(app.getToSchema(), app.getToTable())) { 336 | logger.info( 337 | String.format("toTable -> (%s) %s.%s not exists! Program exit.", app.getToDbId(), app.getToSchema(), app.getToTable())); 338 | return; 339 | } 340 | 341 | if(app.getToTableFields().size() > 0) { 342 | // 如果指定目标列，则使用目标列，不指定则自动获取 343 | toColumnNames = app.getToTableFields(); 344 | } else { 345 | toColumnNames = toDataBase.getTableColumns(app.getToSchema(), app.getToTable()); 346 | } 347 | 348 | if (app.getFromTableFields().size() > 0) { 349 | // 如果指定源列，则使用源列，不指定则使用目标列 350 | fromColumnNames = app.getFromTableFields(); 351 | } else { 352 | fromColumnNames = toColumnNames; 353 | } 354 | 355 | ResultSet rs = fromDataBase.readData(app.getFromSchema(), app.getFromTable(), fromColumnNames, app.getWhereClause()); 356 | toDataBase.writeData(app.getToSchema(), app.getToTable(), toColumnNames, rs, app.getWhereClause()); 357 | logger.info(String.format("finished (%s)%s.%s -> (%s)%s.%s", app.getFromDBId(), app.getFromSchema(), app.getFromTable(), app.getToDbId(), 358 | app.getToSchema(), app.getToTable())); 359 | return; 360 | } 361 | 362 | ColSizeTimes colTimes = "gbk".equals(configFrom.getEncoding()) && "utf-8".equals(configTo.getEncoding()) ? ColSizeTimes.DOUBLE : ColSizeTimes.EQUAL; 363 | 364 | if (colTimes != ColSizeTimes.EQUAL) { 365 | //提示字段长度扩大了 366 | logger.info( 367 | String.format("The varchar column length of target table is %d times that of the source table", 368 | colTimes.getTimes())); 369 | } 370 | 371 | if (!toDataBase.existsTable(app.getToSchema(), app.getToTable())) { 372 | // 目标表不存在，先创建 373 | logger.info(String.format("toTable -> (%s) %s.%s not exists, create it.", app.getToDbId(), app.getToSchema(), app.getToTable())); 374 | String ddl = fromDataBase.getDDL(app.getToDbId(), app.getFromSchema(), app.getFromTable(), colTimes); 375 | try { 376 | toDataBase.createTable(app.getToSchema(), app.getToTable(), ddl); 377 | } catch (SQLException e) { 378 | e.printStackTrace(); 379 | } 380 | 381 | } else { 382 | 383 | // 目标表存在，判断同名字段长度是否一致 384 | ResultSet fromColMeta = fromDataBase.getColMetaData(app.getFromSchema(),app.getFromTable()); 385 | ResultSet toColMeta = toDataBase.getColMetaData(app.toSchema, app.toTable); 386 | /* 同步扩充字段长度 */ 387 | String alterSql = getAlterSqlFromMetaData(configTo.getDbType(),app.toSchema, app.toTable, fromColMeta, toColMeta, colTimes); 388 | String[] alterSqlArray = alterSql.split(";"); 389 | for (int i = alterSqlArray.length - 1; i >= 0; i--) { 390 | String sql = alterSqlArray[i]; 391 | if (!sql.isEmpty()) { 392 | logger.info(sql); 393 | try { 394 | toDataBase.executeUpdateSQL(sql); 395 | } catch (Exception e) { 396 | e.printStackTrace(); 397 | } 398 | } 399 | } 400 | } 401 | 402 | if (app.getToTableFields().size() > 0) { 403 | // 如果指定目标列，则使用目标列，不指定则自动获取 404 | toColumnNames = app.getToTableFields(); 405 | } else { 406 | toColumnNames = toDataBase.getTableColumns(app.getToSchema(),app.getToTable()); 407 | } 408 | 409 | if (app.getFromTableFields().size() > 0) { 410 | // 如果指定源列，则使用源列，不指定则 使用目标列 411 | fromColumnNames = app.getFromTableFields(); 412 | } else { 413 | fromColumnNames = toColumnNames; 414 | } 415 | 416 | ResultSet rs = fromDataBase.readData(app.getFromSchema(), app.getFromTable(), fromColumnNames, app.getWhereClause()); 417 | toDataBase.writeData(app.getToSchema(), app.getToTable(), toColumnNames, rs, app.getWhereClause()); 418 | logger.info(String.format("finished (%s)%s.%s -> (%s)%s.%s", app.getFromDBId(), app.getFromSchema(), app.getFromTable(), app.getToDbId(), app.getToSchema(), 419 | app.getToTable())); 420 | } finally { 421 | 422 | 423 | } 424 | } 425 | } 426 | -------------------------------------------------------------------------------- /src/main/java/com/data/database/Config.java: -------------------------------------------------------------------------------- 1 | package com.data.database; 2 | import com.alibaba.fastjson.JSON; 3 | import com.alibaba.fastjson.JSONObject; 4 | import java.util.HashMap; 5 | import com.data.database.utils.Tools; 6 | 7 | public class Config{ 8 | 9 | private String jdbcDriver; 10 | private String dbUrl; 11 | private String userName; 12 | private String password; 13 | private String dbType; 14 | private String encoding; 15 | private Integer bufferRows; 16 | private String tbspaceDDL; 17 | 18 | private static HashMap instanceMap = new HashMap<>(); 19 | 20 | /* 21 | db_identifier 是 config.json 中的数据库的标识符，如样例配置文件中的 "mysql_test" 22 | */ 23 | private Config(String db_identifier){ 24 | 25 | JSONObject jobj = JSON.parseObject(Tools.readJsonFile("./config/config.json")); 26 | this.jdbcDriver = jobj.getJSONObject(db_identifier).getString("driver"); 27 | this.dbUrl = jobj.getJSONObject(db_identifier).getString("url"); 28 | this.userName = jobj.getJSONObject(db_identifier).getString("user"); 29 | this.password = jobj.getJSONObject(db_identifier).getString("password"); 30 | this.dbType = jobj.getJSONObject(db_identifier).getString("type"); 31 | this.encoding = jobj.getJSONObject(db_identifier).getString("encoding"); 32 | this.tbspaceDDL = jobj.getJSONObject(db_identifier).getString("tbspace_ddl"); 33 | this.bufferRows = (Integer) jobj.getOrDefault("buffer-rows", 100000); 34 | 35 | } 36 | 37 | 38 | //让配置类成为例类，每个数据库的配置信息在内存只保留一份 39 | 40 | public static synchronized Config getInstance(String db_identifier){ 41 | Config instance; 42 | if(instanceMap.containsKey(db_identifier)){ 43 | instance = instanceMap.get(db_identifier); 44 | }else{ 45 | instance = new Config(db_identifier); 46 | instanceMap.put(db_identifier,instance); 47 | } 48 | return instance; 49 | } 50 | 51 | public String getJdbcDriver(){ 52 | return this.jdbcDriver; 53 | } 54 | public String getDbUrl(){ 55 | return this.dbUrl; 56 | } 57 | public String getUserName(){ 58 | return this.userName; 59 | } 60 | 61 | public String getPassword(){ 62 | return this.password; 63 | } 64 | 65 | public String getDbType(){ 66 | return this.dbType; 67 | } 68 | 69 | public String getEncoding(){ 70 | return this.encoding == null ? "utf-8":this.encoding; 71 | } 72 | 73 | public Integer getBufferRows(){ 74 | return this.bufferRows; 75 | } 76 | 77 | public String getTbspaceDDL(){ 78 | return this.tbspaceDDL == null? "": this.tbspaceDDL; 79 | } 80 | 81 | } -------------------------------------------------------------------------------- /src/main/java/com/data/database/api/DataSync.java: -------------------------------------------------------------------------------- 1 | package com.data.database.api; 2 | 3 | import java.sql.SQLException; 4 | import java.io.IOException; 5 | import java.sql.ResultSet; 6 | 7 | import com.data.database.api.MyEnum.ColSizeTimes; 8 | import java.util.List; 9 | 10 | 11 | /* 12 | 数据库表同步接口 13 | 只要实现了下述方法就可以实现同步 14 | */ 15 | public interface DataSync { 16 | 17 | /* 18 | 获取一个表的列名，用于 readData 时指定一个表的字段，之所以不使用 * 是因为源数据库表的字段有可能新增， 19 | 也可以用于表结构的自动同步：当目标表的字段数少于源表时，对目标表自动执行 alter table add columns xxx 20 | */ 21 | public List getTableColumns(String schemaName,String tableName) throws SQLException ; 22 | 23 | /*判断一个表是否存在*/ 24 | public boolean existsTable(String schemaName,String tableName) throws SQLException; 25 | 26 | 27 | /** 28 | * 获取一个表的 DDL 语句，用于在目标数据库创建表， 29 | * 这个类演示了文档注释 30 | * @param lenSize 用于将char 类型的字段长度扩大 lenSize 倍，如 gbk-》utf8 需要扩 1.5 倍 31 | * @param targetDBIdentifier : 配置文件中目标数据库的标识符 32 | * @version 1.2 33 | */ 34 | public String getDDL(String targetDBIdentifier ,String schemaName,String tableName,ColSizeTimes lenSize) throws SQLException; 35 | 36 | /*获取一个表的数据，采用流式读，可以提供 whereClause 表示增量读取 ，如果 whereClause 为空，表示全量读取*/ 37 | public ResultSet readData(String schemaName, String tableName,List columnNames,String whereClause) throws SQLException ; 38 | 39 | /* 将 ResultSet 类型的数据定入一张表，写入成功返回 true,否则返回 false*/ 40 | 41 | public boolean writeData(String schemaName, String tableName,List columnNames, ResultSet rs, String whereClause) throws IOException, SQLException ; 42 | 43 | /* 执行提供的 ddl 建表*/ 44 | public boolean createTable(String schemaName, String tableName,String ddl) throws SQLException; 45 | 46 | } -------------------------------------------------------------------------------- /src/main/java/com/data/database/api/MyEnum.java: -------------------------------------------------------------------------------- 1 | package com.data.database.api; 2 | 3 | public class MyEnum { 4 | public enum ColSizeTimes{ 5 | 6 | EQUAL(1),DOUBLE(2); 7 | private int times = 0; 8 | // 定义一个带参数的构造器，枚举类的构造器只能使用 private 修饰 9 | private ColSizeTimes(int times) { 10 | this.times = times; 11 | } 12 | public int getTimes(){ 13 | return times; 14 | } 15 | }; 16 | 17 | } -------------------------------------------------------------------------------- /src/main/java/com/data/database/api/impl/DataBaseSync.java: -------------------------------------------------------------------------------- 1 | package com.data.database.api.impl; 2 | 3 | import com.data.database.Config; 4 | import com.data.database.api.DataSync; 5 | 6 | import java.io.IOException; 7 | import java.net.SecureCacheResponse; 8 | import java.sql.Connection; 9 | import java.sql.SQLException; 10 | import java.sql.ResultSet; 11 | import java.sql.Types; 12 | import java.sql.DriverManager; 13 | import java.sql.PreparedStatement; 14 | import java.sql.DatabaseMetaData; 15 | 16 | import java.util.List; 17 | import java.util.Objects; 18 | import java.util.ArrayList; 19 | import java.util.HashMap; 20 | 21 | import com.google.common.base.Joiner; 22 | import com.data.database.utils.Tools; 23 | import com.data.database.api.MyEnum.ColSizeTimes; 24 | 25 | import org.apache.logging.log4j.Logger; 26 | import org.apache.logging.log4j.LogManager; 27 | 28 | public class DataBaseSync implements DataSync { 29 | 30 | /* 31 | * 获取一个表的列名，用于 readData 时指定一个表的字段，之所以不使用 * 是因为源数据库表的字段有可能新增， 32 | * 也可以用于表结构的自动同步：当目标表的字段数少于源表时，对目标表自动执行 alter table add columns xxx 33 | */ 34 | protected final String jdbcDriver; 35 | protected final String dbUrl; 36 | // 数据库的用户名与密码，需要根据自己的设置 37 | protected final String dbUser; 38 | protected final String dbPass; 39 | protected Connection dbConn; 40 | protected final String dbType; 41 | protected final Logger logger = LogManager.getLogger(DataBaseSync.class); 42 | protected final Integer bufferRows; 43 | 44 | protected HashMap mysqlMap = new HashMap<>(); 45 | 46 | protected final HashMap db2Map = new HashMap<>(); 47 | 48 | protected final HashMap oracleMap = new HashMap<>(); 49 | 50 | protected final HashMap postgresqlMap = new HashMap<>(); 51 | 52 | protected final HashMap sqlserverMap = new HashMap<>(); 53 | 54 | 55 | public DataBaseSync(final String dbType, final String jdbcDriver, final String dbUrl, final String dbUser, 56 | final String dbPass, final Integer bufferRows) throws SQLException, ClassNotFoundException { 57 | this.dbType = dbType; 58 | this.jdbcDriver = jdbcDriver; 59 | this.dbUrl = dbUrl; 60 | this.dbUser = dbUser; 61 | this.dbPass = dbPass; 62 | Class.forName(this.jdbcDriver); 63 | if (this.jdbcDriver.equals("com.ibm.db2.jcc.DB2Driver")) { 64 | //ERROR Code=-4220 and SQLSTATE= null 65 | //https://stackoverflow.com/questions/42623220/error-code-4220-and-sqlstate-null 66 | System.setProperty("db2.jcc.charsetDecoderEncoder", "3"); 67 | } 68 | this.dbConn = DriverManager.getConnection(this.dbUrl, this.dbUser, this.dbPass); 69 | if ("oracle.jdbc.driver.OracleDriver".equals(this.jdbcDriver)) { 70 | // 设置oracle的事务级别 71 | } else { 72 | // oracle 不支持脏读 73 | this.dbConn.setTransactionIsolation(Connection.TRANSACTION_READ_UNCOMMITTED);// 读未提交 74 | } 75 | this.bufferRows = bufferRows; 76 | logger.info(this.dbUrl + " connection establied."); 77 | 78 | //以下为 java.sql.types 到各数据库类型的映射关系，可以添加其他类型。 79 | 80 | mysqlMap.put("BINARY","TINYBLOB"); 81 | mysqlMap.put("BIT",""); 82 | mysqlMap.put("LONGVARBINARY","MEDIUMBLOB"); 83 | mysqlMap.put("LONGVARCHAR","TEXT"); 84 | mysqlMap.put("REAL","FLOAT"); 85 | mysqlMap.put("VARBINARY",""); 86 | mysqlMap.put("INT","INTEGER"); 87 | 88 | db2Map.put("BIT",""); 89 | db2Map.put("LONGVARBINARY","BLOB"); 90 | db2Map.put("LONGVARCHAR","CLOB"); 91 | db2Map.put("REAL","REAL"); 92 | db2Map.put("TINYINT","SMALLINT"); 93 | db2Map.put("TEXT","CLOB"); 94 | db2Map.put("INT","INTEGER"); 95 | 96 | 97 | oracleMap.put("BIGINT","NUMBER"); 98 | oracleMap.put("BINARY","RAW"); 99 | oracleMap.put("DECIMAL","NUMBER"); 100 | oracleMap.put("FLOAT","FLOAT"); 101 | oracleMap.put("LONGVARBINARY","LONG RAW "); 102 | oracleMap.put("LONGVARCHAR","TEXT"); 103 | oracleMap.put("TIME","DATE"); 104 | oracleMap.put("TIMESTAMP","DATE"); 105 | oracleMap.put("TINYINT","TINYINT"); 106 | oracleMap.put("VARBINARY","RAW"); 107 | 108 | 109 | postgresqlMap.put("BINARY",""); 110 | postgresqlMap.put("BIT",""); 111 | postgresqlMap.put("LONGVARBINARY",""); 112 | postgresqlMap.put("LONGVARCHAR","TEXT"); 113 | postgresqlMap.put("VARBINARY",""); 114 | postgresqlMap.put("INT UNSIGNED","INT"); 115 | 116 | sqlserverMap.put("BINARY",""); 117 | sqlserverMap.put("BIT",""); 118 | sqlserverMap.put("LONGVARBINARY",""); 119 | sqlserverMap.put("LONGVARCHAR","TEXT"); 120 | sqlserverMap.put("VARBINARY",""); 121 | 122 | } 123 | 124 | public String convertColumnType(String dbType, String colType) { 125 | if (dbType.equals("postgres")) { 126 | return postgresqlMap.getOrDefault(colType,colType); 127 | } else if (dbType.equals("db2")) { 128 | return db2Map.getOrDefault(colType,colType); 129 | } else if (dbType.equals("oracle")) { 130 | return oracleMap.getOrDefault(colType,colType); 131 | } else if(dbType.equals("mysql")){ 132 | return mysqlMap.getOrDefault(colType,colType); 133 | }else{ 134 | return colType; 135 | } 136 | 137 | } 138 | 139 | public ResultSet getColMetaData(String schemaName, String tableName) throws SQLException { 140 | // to do 如果源表与目标表不一致，则以愿表为准，修改目标表： 141 | // 用于 扩字段长度，增加字段，删除字段，修改字段类型。 142 | /* 由于 mysql postgres 数据库大小写是区分的，因此这里不做任何统一转换，自行控制输入参数大小写*/ 143 | 144 | String tableCatalog = null; 145 | if (this.dbType.equals("mysql")) { 146 | tableCatalog = schemaName; 147 | } 148 | DatabaseMetaData metaData = this.dbConn.getMetaData(); 149 | ResultSet resultSet = metaData.getColumns(tableCatalog, schemaName, tableName, null); 150 | return resultSet; 151 | 152 | } 153 | 154 | public List getColumnTypes(String schemaName, String tableName) throws SQLException { 155 | List colTypes = new ArrayList<>(); 156 | String tableCatalog = null; 157 | if(schemaName.equals("null")){ 158 | schemaName = null; 159 | } 160 | if (this.dbType.equals("mysql")) { 161 | tableCatalog = schemaName; 162 | } 163 | DatabaseMetaData metaData = this.dbConn.getMetaData(); 164 | ResultSet resultSet = metaData.getColumns(tableCatalog, schemaName, tableName, null); 165 | while (resultSet.next()) { 166 | colTypes.add(resultSet.getInt(5)); 167 | } 168 | return colTypes; 169 | 170 | } 171 | 172 | public List getTableColumns(String schemaName, String tableName) throws SQLException { 173 | logger.info(String.format("get table columns from %s.%s ", schemaName, tableName)); 174 | List columnNames = new ArrayList<>(); 175 | DatabaseMetaData metaData = this.dbConn.getMetaData(); 176 | 177 | if(schemaName.equals("null")){ 178 | schemaName = null; 179 | } 180 | 181 | String tableCatalog = null; 182 | if (this.dbType.equals("mysql")) { 183 | tableCatalog = schemaName; 184 | } 185 | ResultSet resultSet = metaData.getColumns(tableCatalog, schemaName, tableName, null); 186 | while (resultSet.next()) { 187 | // for(int i =0 ;i < 24; i++){ 188 | // System.out.print(resultSet.getObject(i+1)+"\t"); 189 | // } 190 | // System.out.println(""); 191 | columnNames.add(resultSet.getString(4)); 192 | } 193 | return columnNames; 194 | 195 | }; 196 | 197 | /* 判断一个表是否存在 */ 198 | public boolean existsTable(String schemaName, String tableName) throws SQLException { 199 | DatabaseMetaData metaData = this.dbConn.getMetaData(); 200 | /* 由于 mysql postgres 数据库大小写是区分的，因此这里不做任何统一转换，自行控制输入参数大小写*/ 201 | // if (this.dbType.equals("postgres") || this.dbType.equals("elk")) { 202 | // if (schemaName != null) { 203 | // schemaName = schemaName.toLowerCase(); 204 | // } 205 | // if (tableName != null) { 206 | // tableName = tableName.toLowerCase(); 207 | // } 208 | // } else { 209 | // schemaName = schemaName == null ? null : schemaName.toUpperCase(); 210 | // tableName = tableName == null ? null : tableName.toUpperCase(); 211 | // } 212 | 213 | schemaName = schemaName.equals("null") ? null : schemaName; 214 | tableName = tableName.equals("null") ? null : tableName; 215 | ResultSet resultSet = metaData.getTables(null, schemaName, tableName, null); 216 | if (resultSet.next()) { 217 | return true; 218 | } 219 | return false; 220 | 221 | }; 222 | 223 | /* 获取一个表的 DDL 语句，用于在目标数据库创建表 lenSize 默认值 1 224 | 这里传入的 db_identifier 传入的是目标数据库的配置信息，为了获取配置信息中表空间部分的 ddl 225 | */ 226 | public String getDDL(String db_identifier, String schemaName, String tableName, ColSizeTimes lenSize) throws SQLException { 227 | Config config = Config.getInstance(db_identifier); 228 | DatabaseMetaData metaData = this.dbConn.getMetaData(); 229 | // ResultSet tables = metaData.getTables(null, schemaName, null, null); 230 | // while (tables.next()) { 231 | // System.out.println(String.format("%s.%s", tables.getString(2), 232 | // tables.getString(3))); 233 | // } 234 | 235 | StringBuilder sb = new StringBuilder(1024); 236 | StringBuilder sb_remark = new StringBuilder(1024); 237 | String table_remark = ""; 238 | 239 | String tableCatalog = null; 240 | 241 | if(schemaName.equals("null")){ 242 | schemaName = null; 243 | } 244 | ResultSet tbResultset = metaData.getTables(tableCatalog, schemaName, tableName, null); 245 | if (tbResultset.next()) { 246 | table_remark = tbResultset.getString(5); 247 | } 248 | 249 | ResultSet resultSet = metaData.getColumns(tableCatalog, schemaName, tableName, null); 250 | 251 | int i = 0; 252 | ArrayList pks = new ArrayList(); 253 | ResultSet resultSetPKS = metaData.getPrimaryKeys(null, schemaName, tableName); 254 | while (resultSetPKS.next()) { 255 | pks.add(resultSetPKS.getString(4)); 256 | } 257 | 258 | sb.append("create table #tabname#"); 259 | while (resultSet.next()) { 260 | i++; 261 | String colunmName = resultSet.getString(4); 262 | Integer dataType = resultSet.getInt(5); 263 | String columnType = ""; 264 | if(this.dbType.equals(config.getDbType())){ 265 | //说明原数据库与目标数据库一致，不需要任何字段类型转换 266 | columnType = resultSet.getString(6); 267 | } else{ 268 | columnType = convertColumnType(config.getDbType(), resultSet.getString(6)); 269 | 270 | } 271 | Integer columnSize = resultSet.getInt(7); 272 | Integer digitSize = resultSet.getInt(9); 273 | String remark = resultSet.getString(12); 274 | String columnTypeText = ""; 275 | if (columnType.equals("TEXT") || columnType.equals("CLOB") || columnType.equals("BLOB")) { 276 | columnTypeText = columnType; 277 | } else if (dataType == Types.VARCHAR || dataType == Types.CHAR) { 278 | // varchar || char 279 | columnSize = columnSize * lenSize.getTimes(); 280 | columnTypeText = columnType + "(" + columnSize + ")"; 281 | } else if (dataType == Types.DECIMAL || dataType == Types.NUMERIC) { 282 | columnTypeText = columnType + "(" + columnSize + "," + digitSize + ")"; 283 | } else { 284 | columnTypeText = columnType; 285 | } 286 | 287 | if (i == 1) { 288 | sb.append("(\n"); 289 | sb.append(colunmName); 290 | sb.append(" "); 291 | sb.append(columnTypeText); 292 | } else { 293 | sb.append(","); 294 | sb.append(colunmName); 295 | sb.append(" "); 296 | sb.append(columnTypeText); 297 | } 298 | // 如果是主键，则不能为空 299 | if (pks.contains(colunmName)) { 300 | sb.append(" not null"); 301 | } 302 | 303 | if (remark != null) { 304 | remark = remark.replace(";", "|").replace("'", ""); 305 | if (config.getDbType().equals("mysql")) { 306 | // mysql的注释比较特别 307 | sb.append(" comment '" + remark + "'"); 308 | } else { 309 | sb_remark.append("comment on column #tabname#."); 310 | sb_remark.append(colunmName); 311 | sb_remark.append(" is '" + remark + "';\n"); 312 | } 313 | } 314 | 315 | sb.append(" \n"); 316 | } 317 | 318 | sb.append(")"); 319 | 320 | // 添加表空间信息 321 | sb.append(config.getTbspaceDDL()); 322 | 323 | // 添加主键或分区键信息，之所以放在这里是因为某些数据库不支持主键，这里报错不影响建表成功 324 | if (pks.size() > 0) { 325 | sb.append(";\n"); 326 | sb.append("alter table #tabname# add constraint pk_#pk_name# primary key (" + Joiner.on(",").join(pks) 327 | + ")"); 328 | } 329 | 330 | // 统一添加分号结尾 331 | sb.append(";\n"); 332 | // 添加表注释信息 333 | if (table_remark != null && !table_remark.isEmpty()) { 334 | table_remark = table_remark.replace(";", "").replace("'", ""); 335 | if (config.getDbType().equals("mysql")) { 336 | //如果目标数据库是mysql，则如下构造sql 337 | sb.append("alter table #tabname# comment '" + table_remark + "';\n"); 338 | } else { 339 | sb.append("comment on table #tabname# is '" + table_remark + "';\n"); 340 | } 341 | 342 | } 343 | // 添加字段注释信息 344 | sb.append(sb_remark.toString()); 345 | String ddl = sb.toString(); 346 | logger.info(String.format("get ddl from %s.%s ", schemaName, tableName)); 347 | return ddl; 348 | 349 | }; 350 | 351 | /* 获取一个表的数据，采用流式读取，可以提供 whereClause 表示增量读取 ，如果 whereClause 为空，表示全量读取 */ 352 | public ResultSet readData(String schemaName, final String tableName, final List columnNames, 353 | String whereClause) throws SQLException { 354 | this.dbConn.setAutoCommit(false); 355 | logger.info(String.format("read data from %s.%s ", schemaName, tableName)); 356 | final String columns = Joiner.on(", ").join(columnNames); 357 | String selectSql = ""; 358 | if (whereClause == null || whereClause.isEmpty()) { 359 | selectSql = "select " + columns + " from " + schemaName + "." + tableName; 360 | } else { 361 | selectSql = "select " + columns + " from " + schemaName + "." + tableName + " where " + whereClause; 362 | } 363 | logger.info(selectSql); 364 | PreparedStatement pStemt = null; 365 | pStemt = this.dbConn.prepareStatement(selectSql, ResultSet.TYPE_FORWARD_ONLY, ResultSet.CONCUR_READ_ONLY); 366 | pStemt.setFetchSize(bufferRows + 10000); 367 | final ResultSet rs = pStemt.executeQuery(); 368 | return rs; 369 | 370 | }; 371 | 372 | /* 将 ResultSet 类型的数据定入一张表，写入成功返回 true,否则返回 false */ 373 | public boolean writeData(String schemaName, final String tableName, final List columnNames, ResultSet rs, 374 | final String whereClause) throws IOException, SQLException { 375 | this.dbConn.setAutoCommit(false); 376 | logger.info(String.format("begin insert into %s.%s...", schemaName, tableName)); 377 | String tbName = ""; 378 | String clearSql = ""; 379 | if (schemaName != null && schemaName.length() != 0) { 380 | tbName = schemaName + "." + tableName; 381 | } else { 382 | tbName = tableName; 383 | } 384 | if (whereClause != null && !whereClause.isEmpty()) { 385 | // 如果 whereClause 不为空 386 | clearSql = "delete from " + tbName + " where " + whereClause; 387 | } else { 388 | // 如果 whereClause 为空 389 | clearSql = "truncate table " + tbName; 390 | if (dbType.equals("db2") || dbType.equals("edw")) { 391 | clearSql = clearSql + " immediate"; 392 | } else if (dbType.equals("elk")) { 393 | clearSql = "delete from " + tbName; 394 | } 395 | // 如果是 elk 请修改为 delete from 396 | } 397 | 398 | logger.info(String.format("clear data for %s is begin...", tbName)); 399 | logger.info("clearSql : " + clearSql); 400 | this.dbConn.commit(); 401 | PreparedStatement pStemt = this.dbConn.prepareStatement(clearSql); 402 | pStemt.executeUpdate(); 403 | this.dbConn.commit(); 404 | logger.info(String.format("clear data for %s is done", tbName)); 405 | 406 | List colTypes = this.getColumnTypes(schemaName, tableName); 407 | 408 | final String insertSql = Tools.buildInsertSql(tbName, columnNames.stream().toArray(String[]::new)); 409 | // System.out.println(insertSql); 410 | pStemt = this.dbConn.prepareStatement(insertSql); 411 | // final int numberOfCols = rs.getMetaData().getColumnCount(); 412 | final int numberOfCols = columnNames.size(); 413 | int rowCount = 0; 414 | long totalAffectRows = 0; 415 | long starttime = System.currentTimeMillis(); 416 | while (rs.next()) { 417 | for (int i = 0; i < numberOfCols; i++) { 418 | if (colTypes.get(i) == Types.VARCHAR || colTypes.get(i) == Types.CHAR 419 | || colTypes.get(i) == Types.CLOB) { 420 | pStemt.setString(i + 1, Objects.toString(rs.getString(i + 1), "")); // 将 null 转化为空 421 | } else { 422 | pStemt.setObject(i + 1, rs.getObject(i + 1)); 423 | } 424 | } 425 | pStemt.addBatch(); 426 | rowCount++; 427 | if (rowCount >= bufferRows) { 428 | // 每10万行提交一次记录 429 | int affectRows = 0; 430 | for (int i : pStemt.executeBatch()) { 431 | affectRows += i; 432 | } 433 | this.dbConn.commit(); 434 | logger.info(String.format("rows insert into %s is %d", tbName, affectRows)); 435 | totalAffectRows += affectRows; 436 | rowCount = 0; 437 | } 438 | } 439 | // 处理剩余的记录 440 | int affectRows = 0; 441 | for (int i : pStemt.executeBatch()) { 442 | affectRows += i; 443 | } 444 | this.dbConn.commit(); 445 | logger.info(String.format("rows insert into %s is %d", tbName, affectRows)); 446 | totalAffectRows += affectRows; 447 | rowCount = 0; 448 | long endtime = System.currentTimeMillis(); 449 | logger.info( 450 | String.format("insert into %s %d rows has been completed, cost %.3f seconds", tbName,totalAffectRows,(endtime - starttime) * 1.0 / 1000)); 451 | return true; 452 | }; 453 | 454 | /* 执行提供的 ddl 建表 */ 455 | public boolean createTable(String schemaName, String tableName, String ddl) throws SQLException { 456 | 457 | this.dbConn.setAutoCommit(true); 458 | String newDDL = ""; 459 | if (schemaName == null || schemaName.length() == 0) { 460 | newDDL = ddl.replace("#tabname#", tableName); 461 | } else { 462 | // 针对 postgres 如果模式名不存在，先创建模式名，否则创建表失败。 463 | newDDL = ddl.replace("#tabname#", schemaName + "." + tableName); 464 | } 465 | newDDL = newDDL.replace("#pk_name#", tableName); 466 | logger.info(newDDL); 467 | String[] sqls = newDDL.split(";"); 468 | for (String sql : sqls) { 469 | if (sql.replaceAll("\r|\n|\\s", "").length() > 1) { 470 | //如果是非空的sql语句，那么执行它 471 | PreparedStatement pStemt = this.dbConn.prepareStatement(sql); 472 | pStemt.executeUpdate(); 473 | } 474 | } 475 | return true; 476 | 477 | }; 478 | 479 | public boolean executeUpdateSQL(String sql) throws SQLException { 480 | PreparedStatement pStemt = this.dbConn.prepareStatement(sql); 481 | pStemt.executeUpdate(); 482 | return true; 483 | } 484 | 485 | } -------------------------------------------------------------------------------- /src/main/java/com/data/database/api/impl/DataBaseSyncFactory.java: -------------------------------------------------------------------------------- 1 | package com.data.database.api.impl; 2 | import com.data.database.Config; 3 | import java.util.Map; 4 | import java.sql.SQLException; 5 | 6 | public class DataBaseSyncFactory { 7 | 8 | public static DataBaseSync getInstance(Config config, boolean IsSpecificFeture) throws SQLException,ClassNotFoundException { 9 | DataBaseSync dataBaseSync = null; 10 | if(!IsSpecificFeture){ 11 | return new DataBaseSync(config.getDbType(), config.getJdbcDriver(),config.getDbUrl(),config.getUserName(),config.getPassword(),config.getBufferRows()); 12 | } 13 | else if("postgres".equals(config.getDbType()) ){ 14 | dataBaseSync = new PostgresDataBaseSync(config.getDbType(), config.getJdbcDriver(),config.getDbUrl(),config.getUserName(),config.getPassword(),config.getBufferRows()) ; 15 | }else{ 16 | dataBaseSync = new DataBaseSync(config.getDbType(), config.getJdbcDriver(),config.getDbUrl(),config.getUserName(),config.getPassword(),config.getBufferRows()); 17 | } 18 | return dataBaseSync; 19 | } 20 | } 21 | -------------------------------------------------------------------------------- /src/main/java/com/data/database/api/impl/Db2DataBaseSync.java: -------------------------------------------------------------------------------- 1 | package com.data.database.api.impl; 2 | 3 | import java.io.BufferedReader; 4 | import java.io.IOException; 5 | import java.io.StringReader; 6 | import java.sql.PreparedStatement; 7 | import java.sql.ResultSet; 8 | import java.sql.SQLException; 9 | import java.util.List; 10 | 11 | 12 | public class Db2DataBaseSync extends DataBaseSync { 13 | //在此编写db2特性的代码逻辑 14 | 15 | 16 | public Db2DataBaseSync(String dbType, String jdbcDriver, String dbUrl, String dbUser, String dbPass, 17 | Integer bufferRows) throws SQLException, ClassNotFoundException { 18 | super(dbType, jdbcDriver, dbUrl, dbUser, dbPass, bufferRows); 19 | } 20 | 21 | // @Override 22 | // public boolean writeData(String schemaName, final String tableName, List columnNames, ResultSet rs, 23 | // final String whereClause) { 24 | // //如果 db2 有更好的写入方法，在此实现 25 | 26 | // return true; 27 | 28 | // } 29 | 30 | }; -------------------------------------------------------------------------------- /src/main/java/com/data/database/api/impl/OracleDataBaseSync.java: -------------------------------------------------------------------------------- 1 | package com.data.database.api.impl; 2 | 3 | import java.io.BufferedReader; 4 | import java.io.IOException; 5 | import java.io.StringReader; 6 | import java.sql.PreparedStatement; 7 | import java.sql.ResultSet; 8 | import java.sql.SQLException; 9 | import java.util.List; 10 | 11 | 12 | public class OracleDataBaseSync extends DataBaseSync { 13 | //在此编写db2特性的代码逻辑 14 | 15 | 16 | public OracleDataBaseSync(String dbType, String jdbcDriver, String dbUrl, String dbUser, String dbPass, 17 | Integer bufferRows) throws SQLException, ClassNotFoundException { 18 | super(dbType, jdbcDriver, dbUrl, dbUser, dbPass, bufferRows); 19 | } 20 | 21 | 22 | // @Override 23 | // public boolean writeData(String schemaName, final String tableName, List columnNames, ResultSet rs, 24 | // final String whereClause) { 25 | // //如果 oracle 有更好的写入方法，在此实现 26 | 27 | // return true; 28 | 29 | // } 30 | }; -------------------------------------------------------------------------------- /src/main/java/com/data/database/api/impl/PostgresDataBaseSync.java: -------------------------------------------------------------------------------- 1 | package com.data.database.api.impl; 2 | 3 | import java.io.BufferedReader; 4 | import java.io.IOException; 5 | import java.io.StringReader; 6 | import java.sql.PreparedStatement; 7 | import java.sql.ResultSet; 8 | import java.sql.SQLException; 9 | import java.util.List; 10 | 11 | import org.postgresql.copy.CopyManager; 12 | import org.postgresql.core.BaseConnection; 13 | 14 | public class PostgresDataBaseSync extends DataBaseSync { 15 | 16 | public PostgresDataBaseSync(String dbType, String jdbcDriver, String dbUrl, String dbUser, String dbPass, 17 | Integer bufferRows) throws SQLException, ClassNotFoundException { 18 | super(dbType, jdbcDriver, dbUrl, dbUser, dbPass, bufferRows); 19 | } 20 | 21 | @Override 22 | public boolean writeData(String schemaName, final String tableName, List columnNames, ResultSet rs, 23 | final String whereClause) throws IOException, SQLException { 24 | this.dbConn.setAutoCommit(false); 25 | logger.info(String.format("begin insert into %s.%s...", schemaName, tableName)); 26 | String tbName = ""; 27 | String clearSql = ""; 28 | 29 | if (schemaName != null && schemaName.length() != 0) { 30 | tbName = schemaName + "." + tableName; 31 | } else { 32 | tbName = tableName; 33 | } 34 | 35 | if (whereClause != null && whereClause.length() != 0) { 36 | clearSql = "delete from " + tbName + " where " + whereClause; 37 | } else { 38 | clearSql = "truncate table " + tbName; 39 | if (dbType.equals("db2") || dbType.equals("edw")) { 40 | clearSql = clearSql + " immediate"; 41 | } else if (dbType.equals("elk")) { 42 | clearSql = "delete from " + tbName; 43 | } 44 | // 如果是 elk 请修改为 delete from 45 | } 46 | 47 | logger.info(String.format("clear data for %s is begin...", tbName)); 48 | logger.info("clearSql : " + clearSql); 49 | this.dbConn.commit(); 50 | PreparedStatement pStemt = this.dbConn.prepareStatement(clearSql); 51 | pStemt.executeUpdate(); 52 | this.dbConn.commit(); 53 | logger.info(String.format("clear data for %s is done", tbName)); 54 | 55 | // List colTypes = this.getColumnTypes(schemaName, tableName); 56 | // final int numberOfcols = rs.getMetaData().getColumnCount(); 57 | final int numberOfCols = columnNames.size(); 58 | logger.info("numberOfcols = "+numberOfCols); 59 | // String[] rowArray = new String[numberOfcols]; 60 | int rowCount = 0; 61 | long totalAffectRows = 0; 62 | StringBuilder sBuilder = new StringBuilder(bufferRows); 63 | String copyFromSql = String.format("copy %s (%s) from stdin csv delimiter e'\\x02' quote e'\\x03' escape e'\\x03' ", 64 | tbName,String.join(",",columnNames)); 65 | logger.info("copyFromSql = "+copyFromSql); 66 | long starttime = System.currentTimeMillis(); 67 | while (rs.next()) { 68 | for (int i = 0; i < numberOfCols - 1; i++) { 69 | String col = rs.getString(i+1); 70 | if (col != null) { 71 | //去除字符串中最后的\\ 72 | int col_len = col.length(); 73 | while (col_len > 0 && col.charAt(col_len - 1) == '\\') { 74 | col_len-- ; 75 | } 76 | sBuilder.append((char) 3).append(col.substring(0, col_len)).append((char) 3); 77 | } else { 78 | sBuilder.append(""); 79 | } 80 | sBuilder.append((char) 2); 81 | } 82 | String col = rs.getString(numberOfCols); 83 | if (col != null) { 84 | int col_len = col.length(); 85 | while (col_len > 0 && col.charAt(col_len - 1) == '\\') { 86 | col_len-- ; 87 | } 88 | sBuilder.append((char) 3).append(col.substring(0, col_len)).append((char) 3); 89 | } else { 90 | sBuilder.append(""); 91 | } 92 | sBuilder.append('\n'); 93 | rowCount++; 94 | if (rowCount >= bufferRows) { 95 | // 每10万行提交一次记录 96 | CopyManager copyManager = new CopyManager((BaseConnection) this.dbConn); 97 | // long rowsInserted = copyManager.copyIn("copy " + tbName + " from stdin 98 | // delimiter e'\\x02' NULL as ''", 99 | long rowsInserted = copyManager.copyIn(copyFromSql, 100 | new BufferedReader(new StringReader(sBuilder.toString()))); 101 | this.dbConn.commit(); 102 | // sBuilder.delete(0, sBuilder.length());//清空缓冲区 103 | sBuilder.setLength(0);// 清空缓冲区 104 | logger.info(String.format("rows insert into %s is %d", tbName, rowsInserted)); 105 | totalAffectRows += rowsInserted; 106 | rowCount = 0; 107 | } 108 | } 109 | // 处理剩余的记录 110 | 111 | CopyManager copyManager = new CopyManager((BaseConnection) this.dbConn); 112 | long rowsInserted = copyManager.copyIn(copyFromSql, new BufferedReader(new StringReader(sBuilder.toString()))); 113 | this.dbConn.commit(); 114 | sBuilder.setLength(0);// 清空缓冲区 115 | logger.info(String.format("rows insert into %s is %d", tbName, rowsInserted)); 116 | totalAffectRows += rowsInserted; 117 | this.dbConn.setAutoCommit(true); 118 | long endtime = System.currentTimeMillis(); 119 | logger.info( 120 | String.format("insert into %s %d rows has been completed, cost %.3f seconds", tbName, totalAffectRows,(endtime - starttime) * 1.0 / 1000)); 121 | return true; 122 | }; 123 | 124 | } -------------------------------------------------------------------------------- /src/main/java/com/data/database/utils/Tools.java: -------------------------------------------------------------------------------- 1 | package com.data.database.utils; 2 | import java.io.File; 3 | import java.io.Reader; 4 | import java.io.FileInputStream; 5 | import java.io.IOException; 6 | import java.io.InputStreamReader; 7 | 8 | public class Tools { 9 | public static String buildInsertSql(String table, String[] fields) { 10 | StringBuilder sb = new StringBuilder(); 11 | sb.append("INSERT INTO ").append(table).append(" ("); 12 | sb.append(String.join(", ", fields)); 13 | sb.append(") "); 14 | sb.append("VALUES ("); 15 | for (int i = 0; i < fields.length; i++) { 16 | if (i == fields.length - 1) { 17 | sb.append("?").append(")"); 18 | break; 19 | } 20 | sb.append("?").append(", "); 21 | } 22 | return sb.toString(); 23 | } 24 | 25 | /** 26 | * * 读取json文件，返回json串 27 | * 28 | * @param fileName 29 | * @return 30 | */ 31 | public static String readJsonFile(String fileName) { 32 | String jsonStr = ""; 33 | try { 34 | File jsonFile = new File(fileName); 35 | Reader reader = new InputStreamReader(new FileInputStream(jsonFile), "utf-8"); 36 | int ch = 0; 37 | StringBuffer sb = new StringBuffer(); 38 | while ((ch = reader.read()) != -1) { 39 | sb.append((char) ch); 40 | } 41 | reader.close(); 42 | jsonStr = sb.toString(); 43 | return jsonStr; 44 | } catch (IOException e) { 45 | e.printStackTrace(); 46 | return null; 47 | } 48 | } 49 | 50 | 51 | } -------------------------------------------------------------------------------- /src/main/resources/log4j2.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 17 | 18 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | -------------------------------------------------------------------------------- /src/test/java/com/data/database/AppTest.java: -------------------------------------------------------------------------------- 1 | package com.data.database; 2 | 3 | import org.junit.Test; 4 | import com.data.database.api.DataSync; 5 | import com.data.database.api.impl.DataBaseSync; 6 | import com.data.database.api.MyEnum; 7 | import org.junit.BeforeClass; 8 | import org.junit.AfterClass; 9 | 10 | import static org.junit.Assert.*; 11 | 12 | import java.io.StringWriter; 13 | import java.sql.SQLException; 14 | import java.util.List; 15 | import java.sql.ResultSet; 16 | 17 | /** 18 | * Unit test for simple App. 19 | */ 20 | public class AppTest { 21 | /** 22 | * Rigorous Test. 23 | */ 24 | 25 | @Test 26 | public void testApp(){ 27 | App app = App.getInstance(); 28 | assertTrue(true); 29 | } 30 | } 31 | -------------------------------------------------------------------------------- /src/test/java/com/data/database/ConfigTest.java: -------------------------------------------------------------------------------- 1 | package com.data.database; 2 | 3 | import org.junit.Test; 4 | import static org.junit.Assert.*; 5 | 6 | public class ConfigTest{ 7 | 8 | @Test 9 | public void testSingle(){ 10 | Config config1 = Config.getInstance("mysql_test"); 11 | Config config2 = Config.getInstance("mysql_test"); 12 | assertTrue(config1 == config2); 13 | } 14 | 15 | @Test 16 | public void testOutput(){ 17 | Config config1 = Config.getInstance("mysql_test"); 18 | assertTrue(config1.getBufferRows() >= 1000); 19 | } 20 | 21 | 22 | } -------------------------------------------------------------------------------- /src/test/java/com/data/database/DataBaseSyncTest.java: -------------------------------------------------------------------------------- 1 | package com.data.database; 2 | 3 | import org.junit.Test; 4 | import static org.junit.Assert.*; 5 | 6 | import java.sql.SQLException; 7 | 8 | import com.data.database.api.MyEnum.ColSizeTimes; 9 | import com.data.database.api.impl.DataBaseSync; 10 | 11 | public class DataBaseSyncTest { 12 | 13 | @Test 14 | public void testGetDDL() throws SQLException, ClassNotFoundException{ 15 | Config config = Config.getInstance("mysql_test"); 16 | // DataBaseSync dbs = new DataBaseSync(config.getDbType(),config.getJdbcDriver(), config.getDbUrl(), config.getUserName(),config.getPassword(),config.getBufferRows()); 17 | // String ddl = dbs.getDDL("mysql_test", "mysql", "users", ColSizeTimes.EQUAL); 18 | // System.out.print(ddl); 19 | assertTrue(true); 20 | } 21 | } 22 | -------------------------------------------------------------------------------- /start_docker.md: -------------------------------------------------------------------------------- 1 | # docker 容器操作 2 | 3 | 4 | ## mysql 容器 5 | 6 | 启动 mysql 服务，数据保存在本地卷 database-sync，连接网络 database-sync，先创建网络 database-sync 7 | 8 | ```sh 9 | docker run -d --name mysql \ 10 | --network database-sync \ 11 | --network-alias mysql \ 12 | -v database-sync:/var/lib/mysql \ 13 | -e MYSQL_ROOT_PASSWORD=root \ 14 | -e MYSQL_DATABASE=testdb \ 15 | mysql:latest 16 | ``` 17 | 18 | 进入 mysql 容器内部环境，可查询数据 19 | 20 | ```sh 21 | docker exec -it mysql env LANG=C.UTF-8 /bin/bash 22 | ``` 23 | 24 | 25 | ## postgres 容器 26 | 27 | 启动 postgres 服务 28 | 29 | ```sh 30 | docker run -d --name postgres \ 31 | --network database-sync \ 32 | --network-alias postgres \ 33 | -e POSTGRES_PASSWORD=root \ 34 | postgres:latest 35 | ``` 36 | 37 | 进入 posgres 容器内部： 38 | 39 | ```sh 40 | docker exec -it postgres /bin/bash 41 | ``` 42 | 43 | 44 | 45 | ## 启动 database-sync app 容器，连接到 database-sync 网络上 46 | 47 | ```sh 48 | docker run -it --name app \ 49 | --network database-sync \ 50 | -v "$(pwd)/target:/app/release" \ 51 | java:latest \ 52 | /bin/bash 53 | ``` 54 | 55 | 挂载 target 目录到 java 容器，jar 文件更新后，直接生效，方便 debug。 56 | 57 | 58 | eg: mysql 向 postgre 同步表结构及数据： 59 | 60 | ```sh 61 | java -jar database-sync-1.3.jar mysql_test testdb somenzz_users postgres_test public users -sd -nf 62 | ``` 63 | 64 | 65 | --------------------------------------------------------------------------------