文章目錄 一、Canal介紹 二、下載 三、安裝使用 Mysql準(zhǔn)備 canal 安裝 解壓縮 canal-deployer 配置修改 啟動(dòng) 查看server日志 查看instance日志 服務(wù)停止 canal-client使用 Canal Adapter 數(shù)據(jù)同步Hbase 數(shù)據(jù)同步ElasticSearch
一、Canal介紹
早期阿里巴巴因?yàn)楹贾莺兔绹?guó)雙機(jī)房部署,存在跨機(jī)房同步的業(yè)務(wù)需求,實(shí)現(xiàn)方式主要是基于業(yè)務(wù) trigger 獲取增量變更。從 2010 年開(kāi)始,業(yè)務(wù)逐步嘗試數(shù)據(jù)庫(kù)日志解析獲取增量變更進(jìn)行同步,由此衍生出了大量的數(shù)據(jù)庫(kù)增量訂閱和消費(fèi)業(yè)務(wù)。
基于日志增量訂閱和消費(fèi)的業(yè)務(wù)包括
數(shù)據(jù)庫(kù)鏡像 數(shù)據(jù)庫(kù)實(shí)時(shí)備份 索引構(gòu)建和實(shí)時(shí)維護(hù)(拆分異構(gòu)索引、倒排索引等) 業(yè)務(wù) cache 刷新 帶業(yè)務(wù)邏輯的增量數(shù)據(jù)處理 當(dāng)前的 canal 支持源端 MySQL 版本包括 5.1.x , 5.5.x , 5.6.x , 5.7.x , 8.0.x
工作原理
MySQL master 將數(shù)據(jù)變更寫(xiě)入二進(jìn)制日志( binary log, 其中記錄叫做二進(jìn)制日志事件binary log events,可以通過(guò) show binlog events 進(jìn)行查看) MySQL slave 將 master 的 binary log events 拷貝到它的中繼日志(relay log) MySQL slave 重放 relay log 中事件,將數(shù)據(jù)變更反映它自己的數(shù)據(jù)
canal 工作原理
canal 模擬 MySQL slave 的交互協(xié)議,偽裝自己為 MySQL slave ,向 - MySQL master 發(fā)送dump 協(xié)議 MySQL master 收到 dump 請(qǐng)求,開(kāi)始推送 binary log 給 slave (即 canal ) canal 解析 binary log 對(duì)象(原始為 byte 流)
GitHub : https://github.com/alibaba/canal
二、下載
下載地址:https://github.com/alibaba/canal/tags 這里我們使用 v1.1.5版本 ,點(diǎn)擊下載
網(wǎng)盤(pán)地址:
鏈接: https://pan.baidu.com/s/1VjIzpb79d05CET5xEnwdEQ
提取碼: h0bk
三、安裝使用
Mysql準(zhǔn)備
對(duì)于自建 MySQL , 需要先開(kāi)啟 Binlog 寫(xiě)入功能,配置 binlog-format 為 ROW 模式,my.cnf 中配置如下
[mysqld]
log-bin=mysql-bin # 開(kāi)啟 binlog
binlog-format=ROW # 選擇 ROW 模式
server_id=1 # 配置 MySQL replaction 需要定義,不要和 canal 的 slaveId 重復(fù)
授權(quán) canal 鏈接 MySQL 賬號(hào)具有作為 MySQL slave 的權(quán)限, 如果已有賬戶(hù)可直接 grant
CREATE USER canal IDENTIFIED BY 'canal';
GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'canal'@'%';
-- GRANT ALL PRIVILEGES ON *.* TO 'canal'@'%' ;
FLUSH PRIVILEGES;
canal 安裝
解壓縮 canal-deployer
tar -zxvf canal.deployer-1.1.5.tar.gz
解壓后目錄結(jié)構(gòu)如下
drwxr-xr-x 2 root root 76 Sep 18 16:58 bin
drwxr-xr-x 5 root root 123 Sep 18 16:58 conf
drwxr-xr-x 2 root root 4096 Sep 18 16:58 lib
drwxrwxrwx 2 root root 6 Apr 19 16:15 logs
drwxrwxrwx 2 root root 177 Apr 19 16:15 plugin
配置修改
修改 confg/canal.properties
#################################################
######### common argument #############
#################################################
# tcp bind 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)行啟動(dòng)服務(wù),默認(rèn):無(wú)
canal.ip =
# register ip to zookeeper
# 運(yùn)行canal-server服務(wù)的主機(jī)IP,可以不用配置,他會(huì)自動(dòng)綁定一個(gè)本機(jī)的IP
canal.register.ip =
# canal-server監(jiān)聽(tīng)的端口(TCP模式下,非TCP模式不監(jiān)聽(tīng)1111端口)
canal.port = 11111
# canal-server metrics.pull監(jiān)聽(tīng)的端口
canal.metrics.pull.port = 11112
# canal instance user/passwd
# canal.user = canal
# canal.passwd = E3619321C1A937C46A0D8BD1DAC39F93B27D4458# canal admin config
#canal.admin.manager = 127.0.0.1:8089
canal.admin.port = 11110
canal.admin.user = admin
canal.admin.passwd = 4ACFE3202A5FF5CF467898FC58AAB1D615029441
# admin auto register
#canal.admin.register.auto = true
#canal.admin.register.cluster =
#canal.admin.register.name =# canal server 鏈接zookeeper集群的鏈接信息,集群模式下要配置zookeeper進(jìn)行協(xié)調(diào)配置,單機(jī)模式可以不用配置
canal.zkServers =
# flush data to zk canal持久化數(shù)據(jù)到zookeeper上的更新頻率,單位毫秒
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, rocketMQ, rabbitMQ canal-server運(yùn)行的模式,TCP模式就是直連客戶(hù)端,不經(jīng)過(guò)中間件。kafka和mq是消息隊(duì)列的模式
canal.serverMode = tcp
# flush meta cursor/parse position to file 存放數(shù)據(jù)的路徑
canal.file.data.dir = ${canal.conf.dir}
canal.file.flush.period = 1000
## memory store RingBuffer size, should be Math.pow(2,n)
canal.instance.memory.buffer.size = 16384
## memory store RingBuffer used memory unit size , default 1kb 下面是一些系統(tǒng)參數(shù)的配置,包括內(nèi)存、網(wǎng)絡(luò)等
canal.instance.memory.buffer.memunit = 1024
## meory store gets mode used MEMSIZE or ITEMSIZE
canal.instance.memory.batch.mode = MEMSIZE
canal.instance.memory.rawEntry = true## detecing config 這里是心跳檢查的配置,做HA時(shí)會(huì)用到
canal.instance.detecting.enable = false
#canal.instance.detecting.sql = insert into retl.xdual values(1,now()) on duplicate key update x=now()
canal.instance.detecting.sql = select 1
canal.instance.detecting.interval.time = 3
canal.instance.detecting.retry.threshold = 3
canal.instance.detecting.heartbeatHaEnable = false# support maximum transaction size, more than the size of the transaction will be cut into multiple transactions delivery
canal.instance.transaction.size = 1024
# mysql fallback connected to new master should fallback times
canal.instance.fallbackIntervalInSeconds = 60# network config
canal.instance.network.receiveBufferSize = 16384
canal.instance.network.sendBufferSize = 16384
canal.instance.network.soTimeout = 30# binlog filter config binlog過(guò)濾的配置,指定過(guò)濾那些SQL
canal.instance.filter.druid.ddl = true
# 是否忽略DCL的query語(yǔ)句,比如grant/create user等,默認(rèn)false
canal.instance.filter.query.dcl = false
# 是否忽略DML的query語(yǔ)句,比如insert/update/delete table.(mysql5.6的ROW模式可以包含statement模式的query記錄),默認(rèn)false
canal.instance.filter.query.dml = false
# 是否忽略DDL的query語(yǔ)句,比如create table/alater table/drop table/rename table/create index/drop index.
# (目前支持的ddl類(lèi)型主要為table級(jí)別的操作,create databases/trigger/procedure暫時(shí)劃分為dcl類(lèi)型),默認(rèn)false
canal.instance.filter.query.ddl = false
canal.instance.filter.table.error = false
canal.instance.filter.rows = false
canal.instance.filter.transaction.entry = false
canal.instance.filter.dml.insert = false
canal.instance.filter.dml.update = false
canal.instance.filter.dml.delete = false# binlog format/image check binlog格式檢測(cè),使用ROW模式,非ROW模式也不會(huì)報(bào)錯(cuò),但是同步不到數(shù)據(jù)
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 并行解析配置,如果是單個(gè)CPU就把下面這個(gè)true改為false
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
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#################################################
######### destinations #############
#################################################
# canal-server創(chuàng)建的實(shí)例,在這里指定你要?jiǎng)?chuàng)建的實(shí)例的名字,比如test1,test2等,逗號(hào)隔開(kāi)
canal.destinations = example
# conf root dir
canal.conf.dir = ../conf
# auto scan instance dir add/remove and start/stop instance
canal.auto.scan = true
canal.auto.scan.interval = 5
# set this value to 'true' means that when binlog pos not found, skip to latest.
# WARN: pls keep 'false' in production env, or if you know what you want.
canal.auto.reset.latest.pos.mode = falsecanal.instance.tsdb.spring.xml = classpath:spring/tsdb/h2-tsdb.xml
#canal.instance.tsdb.spring.xml = classpath:spring/tsdb/mysql-tsdb.xmlcanal.instance.global.mode = spring
canal.instance.global.lazy = false
canal.instance.global.manager.address = ${canal.admin.manager}
#canal.instance.global.spring.xml = classpath:spring/memory-instance.xml
canal.instance.global.spring.xml = classpath:spring/file-instance.xml
#canal.instance.global.spring.xml = classpath:spring/default-instance.xml##################################################
######### MQ Properties #############
##################################################
# aliyun ak/sk , support rds/mq
canal.aliyun.accessKey =
canal.aliyun.secretKey =
canal.aliyun.uid=canal.mq.flatMessage = true
canal.mq.canalBatchSize = 50
canal.mq.canalGetTimeout = 100
# Set this value to "cloud", if you want open message trace feature in aliyun.
canal.mq.accessChannel = localcanal.mq.database.hash = true
canal.mq.send.thread.size = 30
canal.mq.build.thread.size = 8##################################################
######### Kafka #############
##################################################
kafka.bootstrap.servers = 127.0.0.1:9092
kafka.acks = all
kafka.compression.type = none
kafka.batch.size = 16384
kafka.linger.ms = 1
kafka.max.request.size = 1048576
kafka.buffer.memory = 33554432
kafka.max.in.flight.requests.per.connection = 1
kafka.retries = 0kafka.kerberos.enable = false
kafka.kerberos.krb5.file = "../conf/kerberos/krb5.conf"
kafka.kerberos.jaas.file = "../conf/kerberos/jaas.conf"##################################################
######### RocketMQ #############
##################################################
rocketmq.producer.group = test
rocketmq.enable.message.trace = false
rocketmq.customized.trace.topic =
rocketmq.namespace =
rocketmq.namesrv.addr = 127.0.0.1:9876
rocketmq.retry.times.when.send.failed = 0
rocketmq.vip.channel.enabled = false
rocketmq.tag = ##################################################
######### RabbitMQ #############
##################################################
rabbitmq.host =
rabbitmq.virtual.host =
rabbitmq.exchange =
rabbitmq.username =
rabbitmq.password =
rabbitmq.deliveryMode =
修改example配置 在 confg/canal.properties配置了實(shí)例后,需要在根配置的同級(jí)目錄下創(chuàng)建該實(shí)例目錄,并創(chuàng)建文件 instance.properties。(example是官方給的Demo) 內(nèi)容如下:
#################################################
## mysql serverId , v1.0.26+ will autoGen
## v1.0.26版本后會(huì)自動(dòng)生成slaveId,所以可以不用配置
# canal.instance.mysql.slaveId=0# enable gtid use true/false
canal.instance.gtidon=false# position info
# 數(shù)據(jù)庫(kù)地址
canal.instance.master.address=127.0.0.1:3306
# binlog日志名稱(chēng)
canal.instance.master.journal.name=
# mysql主庫(kù)鏈接時(shí)起始的binlog偏移量
canal.instance.master.position=
# mysql主庫(kù)鏈接時(shí)起始的binlog的時(shí)間戳
canal.instance.master.timestamp=
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
#canal.instance.tsdb.url=jdbc:mysql://127.0.0.1:3306/canal_tsdb
#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
canal.instance.dbPassword=canal
# canal.instance.connectionCharset 代表數(shù)據(jù)庫(kù)的編碼方式對(duì)應(yīng)到 java 中的編碼類(lèi)型,比如 UTF-8,GBK , ISO-8859-1
canal.instance.connectionCharset = UTF-8
# enable druid Decrypt database password
canal.instance.enableDruid=false
#canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiNdH1FWgGCpUfircSwlWKUCAwEAAQ==# table regex
# 配置監(jiān)聽(tīng),支持正則表達(dá)式
# mysql 數(shù)據(jù)解析關(guān)注的表,Perl正則表達(dá)式.多個(gè)正則之間以逗號(hào)(,)分隔,轉(zhuǎn)義符需要雙斜杠(\\)
# 常見(jiàn)例子:
# 1. 所有表:.* or .*\\..*
# 2. canal schema下所有表: canal\\..*
# 3. canal下的以canal打頭的表:canal\\.canal.*
# 4. canal schema下的一張表:canal.test1
# 5. 多個(gè)規(guī)則組合使用:canal\\..*,mysql.test1,mysql.test2 (逗號(hào)分隔)
# 這個(gè)是比較重要的參數(shù),匹配庫(kù)表白名單,比如我只要test庫(kù)的user表的增量數(shù)據(jù),則這樣寫(xiě) test.user
canal.instance.filter.regex=.*\\..*
# table black regex
# 配置不監(jiān)聽(tīng),支持正則表達(dá)式
canal.instance.filter.black.regex=mysql\\.slave_.*
# table field filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.field=test1.t_product:id/subject/keywords,test2.t_company:id/name/contact/ch
# table field black filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.black.field=test1.t_product:subject/product_image,test2.t_company:id/name/contact/ch# mq config
canal.mq.topic=example
# dynamic topic route by schema or table regex
#canal.mq.dynamicTopic=mytest1.user,mytest2\\..*,.*\\..*
canal.mq.partition=0
# hash partition config
#canal.mq.partitionsNum=3
#canal.mq.partitionHash=test.table:id^name,.*\\..*
#canal.mq.dynamicTopicPartitionNum=test.*:4,mycanal:6
#################################################
啟動(dòng)
sh bin/startup.sh
查看server日志
# tailf logs/canal/canal.log
2021-09-19 09:38:26.746 [main] INFO com.alibaba.otter.canal.deployer.CanalLauncher - ## set default uncaught exception handler
2021-09-19 09:38:26.793 [main] INFO com.alibaba.otter.canal.deployer.CanalLauncher - ## load canal configurations
2021-09-19 09:38:26.812 [main] INFO com.alibaba.otter.canal.deployer.CanalStarter - ## start the canal server.
2021-09-19 09:38:26.874 [main] INFO com.alibaba.otter.canal.deployer.CanalController - ## start the canal server[192.168.168.2(192.168.168.2):11111]
2021-09-19 09:38:28.240 [main] INFO com.alibaba.otter.canal.deployer.CanalStarter - ## the canal server is running now ......
查看instance日志
# tailf logs/example/example.log
2021-09-19 09:38:28.191 [main] INFO c.a.otter.canal.instance.spring.CanalInstanceWithSpring - start CannalInstance for 1-example
2021-09-19 09:38:28.202 [main] WARN c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table filter : ^.*\..*$
2021-09-19 09:38:28.202 [main] WARN c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table black filter : ^mysql\.slave_.*$
2021-09-19 09:38:28.207 [main] INFO c.a.otter.canal.instance.core.AbstractCanalInstance - start successful....
服務(wù)停止
sh bin/stop.sh
canal-client使用
<dependency><groupId>com.alibaba.otter</groupId><artifactId>canal.client</artifactId><version>1.1.0</version></dependency>
import java.net.InetSocketAddress;
import java.util.List;import com.alibaba.otter.canal.client.CanalConnectors;
import com.alibaba.otter.canal.client.CanalConnector;
import com.alibaba.otter.canal.common.utils.AddressUtils;
import com.alibaba.otter.canal.protocol.Message;
import com.alibaba.otter.canal.protocol.CanalEntry.Column;
import com.alibaba.otter.canal.protocol.CanalEntry.Entry;
import com.alibaba.otter.canal.protocol.CanalEntry.EntryType;
import com.alibaba.otter.canal.protocol.CanalEntry.EventType;
import com.alibaba.otter.canal.protocol.CanalEntry.RowChange;
import com.alibaba.otter.canal.protocol.CanalEntry.RowData;
/*** @author Jast* @description* @date 2021-09-19 09:43*/
public class ClientSample {public static void main(String args[]) {// 創(chuàng)建鏈接
// CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress(AddressUtils.getHostIp(),
// 11111), "example", "", "");CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("192.168.168.2",11111), "example", "", "");int batchSize = 1000;int emptyCount = 0;try {connector.connect();connector.subscribe(".*\\..*");connector.rollback();int totalEmptyCount = 120;while (emptyCount < totalEmptyCount) {Message message = connector.getWithoutAck(batchSize); // 獲取指定數(shù)量的數(shù)據(jù)long batchId = message.getId();int size = message.getEntries().size();if (batchId == -1 || size == 0) {emptyCount++;System.out.println("empty count : " + emptyCount);try {Thread.sleep(1000);} catch (InterruptedException e) {}} else {emptyCount = 0;// System.out.printf("message[batchId=%s,size=%s] \n", batchId, size);printEntry(message.getEntries());}connector.ack(batchId); // 提交確認(rèn)// connector.rollback(batchId); // 處理失敗, 回滾數(shù)據(jù)}System.out.println("empty too many times, exit");} finally {connector.disconnect();}}private static void printEntry(List<Entry> entrys) {for (Entry entry : entrys) {if (entry.getEntryType() == EntryType.TRANSACTIONBEGIN || entry.getEntryType() == EntryType.TRANSACTIONEND) {continue;}RowChange rowChage = null;try {rowChage = RowChange.parseFrom(entry.getStoreValue());} catch (Exception e) {throw new RuntimeException("ERROR ## parser of eromanga-event has an error , data:" + entry.toString(),e);}EventType eventType = rowChage.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 : rowChage.getRowDatasList()) {if (eventType == EventType.DELETE) {printColumn(rowData.getBeforeColumnsList());} else if (eventType == EventType.INSERT) {printColumn(rowData.getAfterColumnsList());} else {System.out.println("-------> before");printColumn(rowData.getBeforeColumnsList());System.out.println("-------> after");printColumn(rowData.getAfterColumnsList());}}}}private static void printColumn(List<Column> columns) {for (Column column : columns) {System.out.println(column.getName() + " : " + column.getValue() + " update=" + column.getUpdated());}}}
此時(shí)數(shù)據(jù)庫(kù)相關(guān)操作會(huì)在控制臺(tái)輸出
================> binlog[mysql-bin.000003:834] , name[mysql,test] , eventType : CREATE
Canal Adapter
mkdir canal-adapter && tar -zxvf canal.adapter-1.1.5.tar.gz -C canal-adapter
數(shù)據(jù)同步Hbase
1.修改啟動(dòng)器配置:{canal-apapter}/conf/application.yml
server:port: 8081
logging:level:com.alibaba.otter.canal.client.adapter: DEBUGcom.alibaba.otter.canal.client.adapter.hbase: DEBUG
spring:jackson:date-format: yyyy-MM-dd HH:mm:sstime-zone: GMT+8default-property-inclusion: non_null
canal.conf:# tcp kafka rocketMQ rabbitMQ canal-server運(yùn)行的模式,TCP模式就是直連客戶(hù)端,不經(jīng)過(guò)中間件。kafka和mq是消息隊(duì)列的模式mode: tcp
# flatMessage: truezookeeperHosts: syncBatchSize: 1retries: 0timeout: 1000accessKey:secretKey:consumerProperties:# canal tcp consumer 指定canal-server的地址和端口canal.tcp.server.host: 127.0.0.1:11111canal.tcp.zookeeper.hosts: 127.0.0.1:2181canal.tcp.batch.size: 1canal.tcp.username:canal.tcp.password:srcDataSources: # 數(shù)據(jù)源配置,從哪里獲取數(shù)據(jù)defaultDS: # 指定一個(gè)名字,在ES的配置中會(huì)用到,唯一url: jdbc:mysql://127.0.0.1:3306/test2?useUnicode=trueusername: rootpassword: *****canalAdapters:- instance: example # canal instance Name or mq topic name 指定在canal配置的實(shí)例名稱(chēng)groups:- groupId: g1 outerAdapters:- name: logger
# - name: rdb
# key: mysql1
# properties:
# jdbc.driverClassName: com.mysql.jdbc.Driver
# jdbc.url: jdbc:mysql://127.0.0.1:3306/mytest2?useUnicode=true
# jdbc.username: root
# jdbc.password: 121212
# - name: rdb
# key: oracle1
# properties:
# jdbc.driverClassName: oracle.jdbc.OracleDriver
# jdbc.url: jdbc:oracle:thin:@localhost:49161:XE
# jdbc.username: mytest
# jdbc.password: m121212
# - name: rdb
# key: postgres1
# properties:
# jdbc.driverClassName: org.postgresql.Driver
# jdbc.url: jdbc:postgresql://localhost:5432/postgres
# jdbc.username: postgres
# jdbc.password: 121212
# threads: 1
# commitSize: 3000- name: hbase # config目錄下的子目錄名稱(chēng)properties:hbase.zookeeper.quorum: sangfor.abdi.node3,sangfor.abdi.node2,sangfor.abdi.node1hbase.zookeeper.property.clientPort: 2181zookeeper.znode.parent: /hbase-unsecure # 這里是hbase在Zookeeper元信息的目錄
# - name: es7
# hosts: 127.0.0.1:9300 # 127.0.0.1:9200 for rest mode
# properties:
# mode: transport # or rest
# # security.auth: test:123456 # only used for rest mode
# cluster.name: my_application
# - name: kudu
# key: kudu
# properties:
# kudu.master.address: 127.0.0.1 # ',' split multi address
注意:adapter將會(huì)自動(dòng)加載 conf/hbase 下的所有.yml結(jié)尾的配置文件
2.Hbase表映射文件 修改 conf/hbase/mytest_person.yml文件:
dataSourceKey: defaultDS # 對(duì)應(yīng)application.yml中的datasourceConfigs下的配置
destination: example # 對(duì)應(yīng)tcp模式下的canal instance或者M(jìn)Q模式下的topic
groupId: # !!! 注意,同步Hbase數(shù)據(jù)這里groupId不要填寫(xiě)內(nèi)容,對(duì)應(yīng)MQ模式下的groupId, 只會(huì)同步對(duì)應(yīng)groupId的數(shù)據(jù)
hbaseMapping: # mysql--HBase的單表映射配置mode: STRING # HBase中的存儲(chǔ)類(lèi)型, 默認(rèn)統(tǒng)一存為String, 可選: #PHOENIX #NATIVE #STRING # NATIVE: 以java類(lèi)型為主, PHOENIX: 將類(lèi)型轉(zhuǎn)換為Phoenix對(duì)應(yīng)的類(lèi)型destination: example # 對(duì)應(yīng) canal destination/MQ topic 名稱(chēng)database: mytest # 數(shù)據(jù)庫(kù)名/schema名table: person # 表名hbaseTable: MYTEST.PERSON # HBase表名family: CF # 默認(rèn)統(tǒng)一Column Family名稱(chēng)uppercaseQualifier: true # 字段名轉(zhuǎn)大寫(xiě), 默認(rèn)為truecommitBatch: 3000 # 批量提交的大小, ETL中用到#rowKey: id,type # 復(fù)合字段rowKey不能和columns中的rowKey并存# 復(fù)合rowKey會(huì)以 '|' 分隔columns: # 字段映射, 如果不配置將自動(dòng)映射所有字段, # 并取第一個(gè)字段為rowKey, HBase字段名以mysql字段名為主id: ROWKE name: CF:NAMEemail: EMAIL # 如果column family為默認(rèn)CF, 則可以省略type: # 如果HBase字段和mysql字段名一致, 則可以省略c_time: birthday:
注意: 如果涉及到類(lèi)型轉(zhuǎn)換,可以如下形式:
...columns: id: ROWKE$STRING ... type: TYPE$BYTE ...
類(lèi)型轉(zhuǎn)換涉及到Java類(lèi)型和Phoenix類(lèi)型兩種, 分別定義如下:
#Java 類(lèi)型轉(zhuǎn)換, 對(duì)應(yīng)配置 mode: NATIVE
$DEFAULT
$STRING
$INTEGER
$LONG
$SHORT
$BOOLEAN
$FLOAT
$DOUBLE
$BIGDECIMAL
$DATE
$BYTE
$BYTES
#Phoenix 類(lèi)型轉(zhuǎn)換, 對(duì)應(yīng)配置 mode: PHOENIX
$DEFAULT 對(duì)應(yīng)PHOENIX里的VARCHAR
$UNSIGNED_INT 對(duì)應(yīng)PHOENIX里的UNSIGNED_INT 4字節(jié)
$UNSIGNED_LONG 對(duì)應(yīng)PHOENIX里的UNSIGNED_LONG 8字節(jié)
$UNSIGNED_TINYINT 對(duì)應(yīng)PHOENIX里的UNSIGNED_TINYINT 1字節(jié)
$UNSIGNED_SMALLINT 對(duì)應(yīng)PHOENIX里的UNSIGNED_SMALLINT 2字節(jié)
$UNSIGNED_FLOAT 對(duì)應(yīng)PHOENIX里的UNSIGNED_FLOAT 4字節(jié)
$UNSIGNED_DOUBLE 對(duì)應(yīng)PHOENIX里的UNSIGNED_DOUBLE 8字節(jié)
$INTEGER 對(duì)應(yīng)PHOENIX里的INTEGER 4字節(jié)
$BIGINT 對(duì)應(yīng)PHOENIX里的BIGINT 8字節(jié)
$TINYINT 對(duì)應(yīng)PHOENIX里的TINYINT 1字節(jié)
$SMALLINT 對(duì)應(yīng)PHOENIX里的SMALLINT 2字節(jié)
$FLOAT 對(duì)應(yīng)PHOENIX里的FLOAT 4字節(jié)
$DOUBLE 對(duì)應(yīng)PHOENIX里的DOUBLE 8字節(jié)
$BOOLEAN 對(duì)應(yīng)PHOENIX里的BOOLEAN 1字節(jié)
$TIME 對(duì)應(yīng)PHOENIX里的TIME 8字節(jié)
$DATE 對(duì)應(yīng)PHOENIX里的DATE 8字節(jié)
$TIMESTAMP 對(duì)應(yīng)PHOENIX里的TIMESTAMP 12字節(jié)
$UNSIGNED_TIME 對(duì)應(yīng)PHOENIX里的UNSIGNED_TIME 8字節(jié)
$UNSIGNED_DATE 對(duì)應(yīng)PHOENIX里的UNSIGNED_DATE 8字節(jié)
$UNSIGNED_TIMESTAMP 對(duì)應(yīng)PHOENIX里的UNSIGNED_TIMESTAMP 12字節(jié)
$VARCHAR 對(duì)應(yīng)PHOENIX里的VARCHAR 動(dòng)態(tài)長(zhǎng)度
$VARBINARY 對(duì)應(yīng)PHOENIX里的VARBINARY 動(dòng)態(tài)長(zhǎng)度
$DECIMAL 對(duì)應(yīng)PHOENIX里的DECIMAL 動(dòng)態(tài)長(zhǎng)度
如果不配置將以java對(duì)象原生類(lèi)型默認(rèn)映射轉(zhuǎn)換
啟動(dòng):bin/startup.sh
停止:bin/stop.sh
重啟:bin/restart.sh
日志目錄:logs/adapter/adapter.log
4.驗(yàn)證服務(wù) 往mysql插入數(shù)據(jù)
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
日志內(nèi)容,可以看出我們寫(xiě)入的數(shù)據(jù)已獲取到
2021-09-20 12:35:09.682 [pool-1-thread-1] INFO c.a.o.canal.client.adapter.logger.LoggerAdapterExample - DML: {"data":[{"id":"2286ed67-19cc-11ec-bbe0-708cb6f5eaa6","name":"2286ed83-19cc-11ec-bbe0-708cb6f5eaa6","age":2,"age_2":null,"message":null,"insert_time":1632112508000}],"database":"test2","destination":"example","es":1632112508000,"groupId":"g1","isDdl":false,"old":null,"pkNames":["id"],"sql":"","table":"testsync","ts":1632112509680,"type":"INSERT"}
2021-09-20 12:35:09.689 [pool-1-thread-1] DEBUG c.a.o.c.client.adapter.hbase.service.HbaseSyncService - DML: {"data":[{"id":"2286ed67-19cc-11ec-bbe0-708cb6f5eaa6","name":"2286ed83-19cc-11ec-bbe0-708cb6f5eaa6","age":2,"age_2":null,"message":null,"insert_time":1632112508000}],"database":"test2","destination":"example","es":1632112508000,"groupId":"g1","isDdl":false,"old":null,"pkNames":["id"],"sql":"","table":"testsync","ts":1632112509680,"type":"INSERT"}
查看Hbase表中的數(shù)據(jù),發(fā)現(xiàn)寫(xiě)入成功
hbase(main):036:0> scan 'testsync',{LIMIT=>1}
ROW COLUMN+CELL 226ba6e8-19cc-11ec-bbe0-708c column=CF:AGE, timestamp=2021-09-20T12:35:08.548, value=2 b6f5eaa6 226ba6e8-19cc-11ec-bbe0-708c column=CF:INSERT_TIME, timestamp=2021-09-20T12:35:08.548, value=2021-09-20 12:35:08.0b6f5eaa6 226ba6e8-19cc-11ec-bbe0-708c column=CF:NAME, timestamp=2021-09-20T12:35:08.548, value=226ba718-19cc-11ec-bbe0-708cb6f5eaa6 b6f5eaa6
1 row(s)
Took 0.0347 seconds
PS: 這個(gè)環(huán)節(jié)有個(gè)問(wèn)題卡住很久,日志打印出數(shù)據(jù),實(shí)際Hbase就是無(wú)法成功寫(xiě)入。解決方法參考:https://blog.csdn.net/zhangshenghang/article/details/120411341
數(shù)據(jù)同步ElasticSearch
我們接著在之前配置Hbase基礎(chǔ)上直接修改配置,實(shí)現(xiàn)同時(shí)同步ElasticSearch
1.修改啟動(dòng)器配置 {canal-apapter}/conf/application.yml
server:port: 8081
logging:level:com.alibaba.otter.canal.client.adapter: DEBUGcom.alibaba.otter.canal.client.adapter.hbase: DEBUG
spring:jackson:date-format: yyyy-MM-dd HH:mm:sstime-zone: GMT+8default-property-inclusion: non_null
canal.conf:# tcp kafka rocketMQ rabbitMQ canal-server運(yùn)行的模式,TCP模式就是直連客戶(hù)端,不經(jīng)過(guò)中間件。kafka和mq是消息隊(duì)列的模式mode: tcp
# flatMessage: truezookeeperHosts: syncBatchSize: 1retries: 0timeout: 1000accessKey:secretKey:consumerProperties:# canal tcp consumer 指定canal-server的地址和端口canal.tcp.server.host: 127.0.0.1:11111canal.tcp.zookeeper.hosts: 127.0.0.1:2181canal.tcp.batch.size: 1canal.tcp.username:canal.tcp.password:srcDataSources: # 數(shù)據(jù)源配置,從哪里獲取數(shù)據(jù)defaultDS: # 指定一個(gè)名字,在ES的配置中會(huì)用到,唯一url: jdbc:mysql://127.0.0.1:3306/test2?useUnicode=trueusername: rootpassword: *****canalAdapters:- instance: example # canal instance Name or mq topic name 指定在canal配置的實(shí)例名稱(chēng)groups:- groupId: g1 outerAdapters:- name: logger
# - name: rdb
# key: mysql1
# properties:
# jdbc.driverClassName: com.mysql.jdbc.Driver
# jdbc.url: jdbc:mysql://127.0.0.1:3306/mytest2?useUnicode=true
# jdbc.username: root
# jdbc.password: 121212
# - name: rdb
# key: oracle1
# properties:
# jdbc.driverClassName: oracle.jdbc.OracleDriver
# jdbc.url: jdbc:oracle:thin:@localhost:49161:XE
# jdbc.username: mytest
# jdbc.password: m121212
# - name: rdb
# key: postgres1
# properties:
# jdbc.driverClassName: org.postgresql.Driver
# jdbc.url: jdbc:postgresql://localhost:5432/postgres
# jdbc.username: postgres
# jdbc.password: 121212
# threads: 1
# commitSize: 3000- name: hbaseproperties:hbase.zookeeper.quorum: sangfor.abdi.node3,sangfor.abdi.node2,sangfor.abdi.node1hbase.zookeeper.property.clientPort: 2181zookeeper.znode.parent: /hbase-unsecure- name: es7 # config目錄下的子目錄名稱(chēng)hosts: 192.168.168.2:9300 # 127.0.0.1:9200 for rest modeproperties:mode: transport # or rest
# # security.auth: test:123456 # only used for rest modecluster.name: my_application
# - name: kudu
# key: kudu
# properties:
# kudu.master.address: 127.0.0.1 # ',' split multi address
# 指定數(shù)據(jù)源,這個(gè)值和adapter的application.yml文件中配置的srcDataSources值對(duì)應(yīng)。
dataSourceKey: defaultDS
# 指定canal-server中配置的某個(gè)實(shí)例的名字,不同實(shí)例對(duì)應(yīng)不同業(yè)務(wù)
destination: example
# 組ID ,tcp方式這里填寫(xiě)空,不要填寫(xiě)值,不然可能會(huì)接收不到數(shù)據(jù)
groupId:
# ES的mapping(映射)
esMapping:# ES索引名稱(chēng)_index: testsync2# ES標(biāo)示文檔的唯一標(biāo)示,通常對(duì)應(yīng)數(shù)據(jù)表中的主鍵ID字段_id: _id
# upsert: true
# pk: id
# 數(shù)據(jù)表每個(gè)字段映射到表中的具體名稱(chēng),不能重復(fù)sql: "select a.id as _id, a.name,a.age,a.age_2,a.message,a.insert_time from testsync as a"
# objFields:
# _labels: array:;
# etlCondition: "where a.c_time>={}"commitBatch: 10
bin/restart.sh
寫(xiě)入數(shù)據(jù)
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
INSERT INTO testsync(id,name,age,insert_time) values(UUID(),UUID(),2,now());
查看adapter日志
2021-09-20 13:53:07.279 [pool-1-thread-1] INFO c.a.o.canal.client.adapter.logger.LoggerAdapterExample - DML: {"data":[{"id":"05fabf89-19d7-11ec-bbe0-708cb6f5eaa6","name":"05fabfb4-19d7-11ec-bbe0-708cb6f5eaa6","age":2,"age_2":null,"message":null,"insert_time":1632117185000}],"database":"test2","destination":"example","es":1632117185000,"groupId":"g1","isDdl":false,"old":null,"pkNames":["id"],"sql":"","table":"testsync","ts":1632117187278,"type":"INSERT"}
2021-09-20 13:53:07.286 [pool-1-thread-1] DEBUG c.a.o.c.client.adapter.hbase.service.HbaseSyncService - DML: {"data":[{"id":"05fabf89-19d7-11ec-bbe0-708cb6f5eaa6","name":"05fabfb4-19d7-11ec-bbe0-708cb6f5eaa6","age":2,"age_2":null,"message":null,"insert_time":1632117185000}],"database":"test2","destination":"example","es":1632117185000,"groupId":"g1","isDdl":false,"old":null,"pkNames":["id"],"sql":"","table":"testsync","ts":1632117187278,"type":"INSERT"}
2021-09-20 13:53:07.287 [pool-1-thread-1] DEBUG c.a.o.canal.client.adapter.es.core.service.ESSyncService - DML: {"data":[{"id":"05fabf89-19d7-11ec-bbe0-708cb6f5eaa6","name":"05fabfb4-19d7-11ec-bbe0-708cb6f5eaa6","age":2,"age_2":null,"message":null,"insert_time":1632117185000}],"database":"test2","destination":"example","es":1632117185000,"groupId":"g1","isDdl":false,"old":null,"pkNames":["id"],"sql":"","table":"testsync","ts":1632117187278,"type":"INSERT"}
Affected indexes: testsync2
查看ElasticSearch數(shù)據(jù) 至此寫(xiě)入ElasticSearch、Hbase成功
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