[mysqld]
# 打開binlog
log-bin=mysql-bin
# 選擇ROW(行)模式
binlog-format=ROW
# 配置MySQL replaction需要定義，不要和canal的slaveId重復(fù)
server_id=1

conf\example\instance.properties
 
#################################################
## mysql serverId , v1.0.26+ will autoGen 
# canal.instance.mysql.slaveId=0        //每個(gè)instance都會(huì)偽裝成一個(gè)mysql slave , 此id對(duì)于canal前端的Mysql實(shí)例而言，必須是唯一的，但是同一個(gè)Canal中相同的instance,此slaveld應(yīng)該一樣
 
# enable gtid use true/false
canal.instance.gtidon=false 
 
# position info
canal.instance.master.address=127.0.0.1:3306    //需要連接的數(shù)據(jù)庫地址及端口
canal.instance.master.journal.name=             //需要讀取的起始的binlog文件
canal.instance.master.position=                 //需要讀取的起始的binlog文件的偏移量
canal.instance.master.timestamp=                //需要讀取的起始的binlog的時(shí)間戳 
canal.instance.master.gtid=
 
# rds oss binlog
canal.instance.rds.accesskey=
canal.instance.rds.secretkey=
canal.instance.rds.instanceId=
 
# table meta tsdb info
canal.instance.tsdb.enable=true                  //v1.0.25版本新增,是否開啟table meta的時(shí)間序列版本記錄功能
#canal.instance.tsdb.url=jdbc:mysql://127.0.0.1:3306/canal_tsdb  //v1.0.25版本新增,table meta的時(shí)間序列版本的本地存儲(chǔ)路徑，默認(rèn)為instance目錄
#canal.instance.tsdb.dbUsername=canal
#canal.instance.tsdb.dbPassword=canal
 
#canal.instance.standby.address =
#canal.instance.standby.journal.name =
#canal.instance.standby.position =
#canal.instance.standby.timestamp =
#canal.instance.standby.gtid=
 
# username/password
canal.instance.dbUsername=canal                  //數(shù)據(jù)庫賬號(hào)
canal.instance.dbPassword=canal                  //數(shù)據(jù)庫密碼
canal.instance.connectionCharset = UTF-8         //數(shù)據(jù)庫解析編碼格式
canal.instance.defaultDatabaseName =test         //數(shù)據(jù)庫連接時(shí)默認(rèn)schema
# enable druid Decrypt database password
canal.instance.enableDruid=false
#canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiNdH1FWgGCpUfircSwlWKUCAwEAAQ==

# table regex
canal.instance.filter.regex=.*\\..*              //mysql 數(shù)據(jù)解析關(guān)注的表，Perl正則表達(dá)式.
# table black regex
canal.instance.filter.black.regex=              //canal將會(huì)過濾那些不符合要求的table，這些table的數(shù)據(jù)將不會(huì)被解析和傳送 
#################################################

conf\canal.properties
#################################################
######### 		common argument		############# 
#################################################
canal.id= 1                       	#每個(gè)canal server實(shí)例的唯一標(biāo)識(shí)
canal.ip=                           #canal server綁定的本地IP信息,如果不配置,默認(rèn)選擇一個(gè)本機(jī)IP進(jìn)行,
canal.port=11111                    #canal server提供socket tcp服務(wù)的端口
canal.metrics.pull.port=11112
canal.zkServers=                    #canal server鏈接zookeeper集群的鏈接信息
 
# flush data to zk
canal.zookeeper.flush.period = 1000 #canal持久化數(shù)據(jù)到zookeeper上的更新頻率,單位毫秒
canal.withoutNetty = false
 
# tcp, kafka, RocketMQ
canal.serverMode = tcp
 
# flush meta cursor/parse position to file
 
canal.file.data.dir = ${canal.conf.dir}    #canal持久化數(shù)據(jù)到file上的目錄
 
canal.file.flush.period = 1000             #canal持久化數(shù)據(jù)到file上的更新頻率,單位毫秒
 
## memory store RingBuffer size, should be Math.pow(2,n)
 
canal.instance.memory.buffer.size = 16384  #canal內(nèi)存store中可緩存buffer記錄數(shù),需要為2的指數(shù)
## memory store RingBuffer used memory unit size , default 1kb
canal.instance.memory.buffer.memunit = 1024  #	內(nèi)存記錄的單位大小,默認(rèn)1KB,和buffer.size組合決定最終的內(nèi)存使用大小
## meory store gets mode used MEMSIZE or ITEMSIZE
canal.instance.memory.batch.mode = MEMSIZE  #canal內(nèi)存store中數(shù)據(jù)緩存模式
                                            1. ITEMSIZE : 根據(jù)buffer.size進(jìn)行限制,只限制記錄的數(shù)量
                                            2. MEMSIZE : 根據(jù)buffer.size * buffer.memunit的大小,限制緩存記錄的大小    

canal.instance.memory.rawEntry = true	
 
## detecing config
canal.instance.detecting.enable = false    #是否開啟心跳檢查
 
#canal.instance.detecting.sql = insert into retl.xdual values(1,now()) on duplicate key update x=now()
canal.instance.detecting.sql = select 1        #心跳檢查sql
canal.instance.detecting.interval.time = 3     #心跳檢查頻率,單位秒 
canal.instance.detecting.retry.threshold = 3   #心跳檢查失敗重試次數(shù)
##非常注意：interval.time * retry.threshold值，應(yīng)該參考既往DBA同學(xué)對(duì)數(shù)據(jù)庫的故障恢復(fù)時(shí)間，  
##“太短”會(huì)導(dǎo)致集群運(yùn)行態(tài)角色“多跳”；“太長(zhǎng)”失去了活性檢測(cè)的意義，導(dǎo)致集群的敏感度降低，Consumer斷路可能性增加。  
 
canal.instance.detecting.heartbeatHaEnable = false #心跳檢查失敗后,是否開啟自動(dòng)mysql自動(dòng)切換
                                                   #說明:比如心跳檢查失敗超過閥值后,如果該配置為true,canal就會(huì)自動(dòng)鏈到mysql備庫獲取binlog數(shù)據(jù)	false

 
# support maximum transaction size, more than the size of the transaction will be cut into multiple transactions delivery
canal.instance.transaction.size =  1024   #	最大事務(wù)完整解析的長(zhǎng)度支持超過該長(zhǎng)度后,一個(gè)事務(wù)可能會(huì)被拆分成多次提交到canal store中,無法保證事務(wù)的完整可見性
 
# mysql fallback connected to new master should fallback times
canal.instance.fallbackIntervalInSeconds = 60  #canal發(fā)生mysql切換時(shí),在新的mysql庫上查找            binlog時(shí)需要往前查找的時(shí)間,單位秒
說明:mysql主備庫可能存在解析延遲或者時(shí)鐘不統(tǒng)一,需要回退一段時(shí)間,保證數(shù)據(jù)不丟
 
# network config
canal.instance.network.receiveBufferSize = 16384  #網(wǎng)絡(luò)鏈接參數(shù),SocketOptions.SO_RCVBUF
canal.instance.network.sendBufferSize = 16384     #網(wǎng)絡(luò)鏈接參數(shù),SocketOptions.SO_SNDBUF
canal.instance.network.soTimeout = 30             #網(wǎng)絡(luò)鏈接參數(shù),SocketOptions.SO_TIMEOUT
 
# binlog filter config
canal.instance.filter.druid.ddl = true          
 
canal.instance.filter.query.dcl = false           #ddl語句是否隔離發(fā)送,開啟隔離可保證每次只返回發(fā)送一條ddl數(shù)據(jù),不和其他dml語句混合返回.(otter ddl同步使用)
 
canal.instance.filter.query.dml = false           #是否忽略DML的query語句,比如insert/update/delete table.(mysql5.6的ROW模式可以包含statement模式的query記錄)
 
canal.instance.filter.query.ddl = false           #是否忽略DDL的query語句,比如create table/alater table/drop table/rename table/create index/drop index. (目前支持的ddl類型主要為table級(jí)別的操作,create databases/trigger/procedure暫時(shí)劃分為dcl類型)
 
canal.instance.filter.table.error = false
canal.instance.filter.rows = false
canal.instance.filter.transaction.entry = false
 
# binlog format/image check
canal.instance.binlog.format = ROW,STATEMENT,MIXED 
canal.instance.binlog.image = FULL,MINIMAL,NOBLOB
 
# binlog ddl isolation
canal.instance.get.ddl.isolation = false
 
# parallel parser config
canal.instance.parser.parallel = true
## concurrent thread number, default 60% available processors, suggest not to exceed Runtime.getRuntime().availableProcessors()
#canal.instance.parser.parallelThreadSize = 16
## disruptor ringbuffer size, must be power of 2
canal.instance.parser.parallelBufferSize = 256
 
# table meta tsdb info                       //關(guān)于時(shí)間序列版本
canal.instance.tsdb.enable=true
canal.instance.tsdb.dir=${canal.file.data.dir:../conf}/${canal.instance.destination:}
canal.instance.tsdb.url=jdbc:h2:${canal.instance.tsdb.dir}/h2;CACHE_SIZE=1000;MODE=MYSQL;
canal.instance.tsdb.dbUsername=canal
canal.instance.tsdb.dbPassword=canal
# dump snapshot interval, default 24 hour
canal.instance.tsdb.snapshot.interval=24
# purge snapshot expire , default 360 hour(15 days)
canal.instance.tsdb.snapshot.expire=360
 
# rds oss binlog account
canal.instance.rds.accesskey =
canal.instance.rds.secretkey =
 
#################################################
######### 		destinations		############# 
#################################################
canal.destinations= example
# conf root dir
canal.conf.dir = ../conf
# auto scan instance dir add/remove and start/stop instance
canal.auto.scan = true                       #開啟instance自動(dòng)掃描
                            如果配置為true,canal.conf.dir目錄下的instance配置變化會(huì)自動(dòng)觸發(fā):
a. instance目錄新增: 觸發(fā)instance配置載入,lazy為true時(shí)則自動(dòng)啟動(dòng)
b. instance目錄刪除:卸載對(duì)應(yīng)instance配置,如已啟動(dòng)則進(jìn)行關(guān)閉
c. instance.properties文件變化:reload instance配置,如已啟動(dòng)自動(dòng)進(jìn)行重啟操作
canal.auto.scan.interval = 5                 #instance自動(dòng)掃描的間隔時(shí)間,單位秒
 
canal.instance.tsdb.spring.xml=classpath:spring/tsdb/h2-tsdb.xml
#canal.instance.tsdb.spring.xml=classpath:spring/tsdb/mysql-tsdb.xml
 
canal.instance.global.mode = spring     #instance管理模式，Production級(jí)別我們要求使用spring  
canal.instance.global.lazy = false             #全局lazy模式
#canal.instance.global.manager.address = 127.0.0.1:1099  #全局的manager配置方式的鏈接信息
 
#canal.instance.global.spring.xml = classpath:spring/memory-instance.xml
canal.instance.global.spring.xml = classpath:spring/file-instance.xml #全局的spring配置方式的組件文件
 
#canal.instance.global.spring.xml = classpath:spring/default-instance.xml

# 默認(rèn)有一個(gè) example，需要增加實(shí)例的可以配置
canal.destinations = example

# 沒有改變的就沒有貼出來，注意 MySQL 的用戶名和密碼
canal.instance.master.address=192.168.58.131:3306
# username/password
canal.instance.dbUsername=test
canal.instance.dbPassword=liubihao
canal.instance.connectionCharset = UTF-8
# enable druid Decrypt database password
canal.instance.enableDruid=false
# table regex
canal.instance.filter.regex=.*\\..*
# table black regex
canal.instance.filter.black.regex=

<dependency>
  <groupId>com.alibaba.otter</groupId>
  <artifactId>canal.client</artifactId>
  <version>1.1.4</version>
</dependency>

package org.nwpu.atcss.util;

import com.alibaba.otter.canal.client.CanalConnector;
import com.alibaba.otter.canal.client.CanalConnectors;
import com.alibaba.otter.canal.protocol.CanalEntry.*;
import com.alibaba.otter.canal.protocol.Message;
import org.springframework.stereotype.Component;

import java.util.List;
import java.net.InetSocketAddress;

@Component
public class CanalClient {
  private static void printEntries(List<Entry> entries) throws Exception {
    for (Entry entry : entries) {
      if (entry.getEntryType() != EntryType.ROWDATA) {
        continue;
      }

      RowChange rowChange = RowChange.parseFrom(entry.getStoreValue());

      EventType eventType = rowChange.getEventType();
      System.out.println(String.format("================> binlog[%s:%s] , name[%s,%s] , eventType : %s",
                                       entry.getHeader().getLogfileName(), entry.getHeader().getLogfileOffset(),
                                       entry.getHeader().getSchemaName(), entry.getHeader().getTableName(), eventType));

      for (RowData rowData : rowChange.getRowDatasList()) {
        switch (rowChange.getEventType()) {
          case INSERT:
            System.out.println("INSERT ");
            printColumns(rowData.getAfterColumnsList());
            break;
          case UPDATE:
            System.out.println("UPDATE ");
            printColumns(rowData.getAfterColumnsList());
            break;
          case DELETE:
            System.out.println("DELETE ");
            printColumns(rowData.getBeforeColumnsList());
            break;
          default:
            break;
        }
      }
    }
  }

  private static void printColumns(List<Column> columns) {
    for (Column column : columns) {
      System.out.println(column.getName() + " : " + column.getValue() + " update=" + column.getUpdated());
    }
  }

  public static void main(String[] args) throws Exception {
    // hostname, port, destination, username, password
    CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("127.0.0.1", 11111), "example", "", "");
    try {
      connector.connect();
      // 監(jiān)聽的表，格式為數(shù)據(jù)庫.表名,數(shù)據(jù)庫.表名
      connector.subscribe(".*\\..*");
      connector.rollback();

      while (true) {
        Message message = connector.getWithoutAck(100); // 獲取指定數(shù)量的數(shù)據(jù)
        long batchId = message.getId();
        if (batchId == -1 || message.getEntries().isEmpty()) {
          Thread.sleep(1000);
          continue;
        }
        // System.out.println(message.getEntries());
        printEntries(message.getEntries());
        connector.ack(batchId); // 提交確認(rèn)，消費(fèi)成功，通知server刪除數(shù)據(jù)
        // connector.rollback(batchId);// 處理失敗, 回滾數(shù)據(jù)，后續(xù)重新獲取數(shù)據(jù)
      }
    } catch (Exception e) {
      System.out.println("Something Error.");
    } finally {
      connector.disconnect();
    }
  }
}