• mysql 同步到 elasticsearch —— canal 1.1.4 demo


    mysql 配置文件:(注释的是 canal 需要的)

    [mysqld]
    # 打开binlog
    log-bin=mysql-bin
    # 选择ROW(行)模式
    binlog-format=ROW
    # 配置MySQL replaction需要定义,不要和canal的slaveId重复
    server_id=1
    collation_server=utf8_bin
    character_set_server=utf8
    sql_mode = 'STRICT_TRANS_TABLES'
    [client]
    default-character-set=utf8  
    [mysql]
    default-character-set=utf8  
    

    启动 mysql docker 容器

    docker run -itd --name mysql56_canal -p 8005:3306 -v /usr/test/conf:/etc/mysql/mysql.conf.d/mysqld.cnf -e MYSQL_ROOT_PASSWORD=4396 mysql:5.6.50
    
    

    mysql 设置权限

    MySQL [(none)]> show databases;
    +--------------------+
    | Database           |
    +--------------------+
    | information_schema |
    | mysql              |
    | performance_schema |
    +--------------------+
    3 rows in set (0.00 sec)
    
    MySQL [(none)]> show variables like 'log_bin';  # bin_log 开启
    +---------------+-------+
    | Variable_name | Value |
    +---------------+-------+
    | log_bin       | ON    |
    +---------------+-------+
    1 row in set (0.00 sec)
    
    MySQL [(none)]> show binary logs;  # bin_log 文件列表
    +------------------+-----------+
    | Log_name         | File_size |
    +------------------+-----------+
    | mysql-bin.000001 |     65417 |
    | mysql-bin.000002 |   1410106 |
    | mysql-bin.000003 |   4117641 |
    | mysql-bin.000004 |       120 |
    +------------------+-----------+
    4 rows in set (0.00 sec)
    
    MySQL [(none)]> show master status  # 正在写入的 bin_log文件
        -> ;
    +------------------+----------+--------------+------------------+-------------------+
    | File             | Position | Binlog_Do_DB | Binlog_Ignore_DB | Executed_Gtid_Set |
    +------------------+----------+--------------+------------------+-------------------+
    | mysql-bin.000004 |      120 |              |                  |                   |
    +------------------+----------+--------------+------------------+-------------------+
    1 row in set (0.00 sec)
    
    # 创建用户
    MySQL [(none)]> create user 'canal'@'%' identified by 'Canal@123456';
    Query OK, 0 rows affected (0.00 sec)
    
    # 分配权限
    MySQL [(none)]> grant SELECT, REPLICATION SLAVE, REPLICATION CLIENT on *.* to 'canal'@'%' identified by 'Canal@123456';
    Query OK, 0 rows affected (0.00 sec)
    
    MySQL [(none)]> FLUSH PRIVILEGES;
    Query OK, 0 rows affected (0.00 sec)
    
    

    服务端:canal docker 部署

    docker pull canal/canal-server:v1.1.4
    

    cannal docker-compose 文件

    version: '3'
    
    services:
      canal-server:
        image: canal/canal-server:v1.1.4
        container_name: canal-server
        restart: unless-stopped
        ports: 
          - 8004:11111
        environment:
          - canal.auto.scan=false
          - canal.instance.master.address=120.55.163.233:8005
          - canal.instance.dbUsername=canal
          - canal.instance.dbPassword=canal
          - canal.instance.filter.regex=.*\\..*
          - canal.destinations=test
          - canal.instance.connectionCharset=UTF-8
          - canal.instance.tsdb.enable=true
        volumes:
          - /usr/test/canal_test/log/:/home/admin/canal-server/logs/
    

    python 客户端 canal

    pip install canal-python  # 安装模块
    pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib  # 依赖包
    

    官方 demo

    import time
    
    from canal.client import Client
    from canal.protocol import EntryProtocol_pb2
    from canal.protocol import CanalProtocol_pb2
    
    client = Client()
    client.connect(host='127.0.0.1', port=11111)
    client.check_valid(username=b'', password=b'')
    client.subscribe(client_id=b'1001', destination=b'test', filter=b'.*\\..*')
    
    while True:
        message = client.get(100)
        entries = message['entries']
        for entry in entries:
            entry_type = entry.entryType
            if entry_type in [EntryProtocol_pb2.EntryType.TRANSACTIONBEGIN, EntryProtocol_pb2.EntryType.TRANSACTIONEND]:
                continue
            row_change = EntryProtocol_pb2.RowChange()
            row_change.MergeFromString(entry.storeValue)
            event_type = row_change.eventType
            header = entry.header
            database = header.schemaName
            table = header.tableName
            event_type = header.eventType
            for row in row_change.rowDatas:
                format_data = dict()
                if event_type == EntryProtocol_pb2.EventType.DELETE:
                    for column in row.beforeColumns:
                        format_data = {
                            column.name: column.value
                        }
                elif event_type == EntryProtocol_pb2.EventType.INSERT:
                    for column in row.afterColumns:
                        format_data = {
                            column.name: column.value
                        }
                else:
                    format_data['before'] = format_data['after'] = dict()
                    for column in row.beforeColumns:
                        format_data['before'][column.name] = column.value
                    for column in row.afterColumns:
                        format_data['after'][column.name] = column.value
                data = dict(
                    db=database,
                    table=table,
                    event_type=event_type,
                    data=format_data,
                )
                print(data)
        time.sleep(1)
    
    client.disconnect()
    

    运行客户端,测试

    create database ttt;  # 创建数据库
    use ttt  # 切换到数据库
    CREATE TABLE `role` (   `id` int unsigned NOT NULL AUTO_INCREMENT,   `role_name` varchar(255) DEFAULT NULL,   PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8 COLLATE=utf8_bin;  # 创建 role 表
    insert into role (id, role_name) values (10, 'admin');  # 插入数据
    update role set role_name='hh' where id = 10;  # 更新数据
    delete from role where id = 10;  # 删除数据
    

    得到结果

    变更一条数据,输出内容分三部分,分别是:TRANSACTIONBEGIN,ROWDATA 和 TRANSACTIONEND。然后我们比较关注的内容都在 ROWDATA 中,解析出来之后就是我们需要的,包括数据库名,表名和变更内容。
    
    其中 event_type 字段 1 表示新增,2 表示更新,3 表示删除。
    
    canal 服务端启动之后,在 /home/admin/canal-server/logs/test 目录下会生成两个日志文件,分别是:meta.log 和 test.log,可以查看服务是不是正常,有没有报错信息。其中 test 是启动 Docker 时 canal.destinations 设置的名称。
    

    别人踩坑记录

    问题:

    解决:fetch failed by table meta:schemeName.tableName

    Caused by: java.io.IOException: ErrorPacket [errorNumber=1142, fieldCount=-1, message=SHOW command denied to user

    binlog 权限问题 select 权限要加上

    由于我使用的是内网pypi不是最新,无法获取canal-python,将主页上源码下载后放在python环境目录下的site-package目录下即可;

    无论原始数据是int还是varchar,解析出来的数据都是字符串类型;

    原文链接:https://cloud.tencent.com/developer/article/1759828

    原文链接:https://zhuanlan.zhihu.com/p/165428937

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  • 原文地址:https://www.cnblogs.com/pythonwl/p/15593982.html
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