背景：
最近一段时间公司做一个技术架构的更改，由于之前使用的solr和目前的业务不太匹配，具体原因不多说啦。所以要把数据放到Elasticsearch中进行快速的搜索，这是便产生了一个数据迁移的需求，把MySQL数据库中的部分库表放到ES一份，便于快速搜索。明确需求：MySQL数据迁移到ES中。
具体要求：
订单表作为主表，商品表和物流表作为附表，数据迁移到ES的同一个索引中。
方案：利用ES的父子文档类型、canal-server和canal-adapter
环境介绍：
内存很紧张，经费有限，但是不影响记录。
[root@aliyun ~]# cat /etc/redhat-release CentOS Linux release 7.6.1810 (Core) [root@aliyun ~]# uname -r 3.10.0-957.21.3.el7.x86_64 [root@aliyun ~]# free -h total used free shared buff/cache available Mem: 1.8G 1.3G 65M 528K 440M 345M Swap: 0B 0B 0B
MySQL版本5.6.45
mysql> select version();
+-----------+
| version() |
+-----------+
| 5.6.45 |
+-----------+
1 row in set (0.03 sec)
elasticsearch版本6.7.0
[root@aliyun ~]# curl localhost:9200
{
"name" : "node-1",
"cluster_name" : "my-application",
"cluster_uuid" : "M5i8CoTJTOepn1GwdXgfxg",
"version" : {
"number" : "6.7.0",
"build_flavor" : "default",
"build_type" : "rpm",
"build_hash" : "8453f77",
"build_date" : "2019-03-21T15:32:29.844721Z",
"build_snapshot" : false,
"lucene_version" : "7.7.0",
"minimum_wire_compatibility_version" : "5.6.0",
"minimum_index_compatibility_version" : "5.0.0"
},
"tagline" : "You Know, for Search"
}
jdk版本：1.8.0
[root@aliyun ~]# java -version
openjdk version "1.8.0_212"
OpenJDK Runtime Environment (build 1.8.0_212-b04)
OpenJDK 64-Bit Server VM (build 25.212-b04, mixed mode)
canal-server/canal-adapter版本：1.1.3
数据流的逻辑图如下：
canal-server伪装成mysql数据库的一个slave从库，获取mysql数据库的binlog日志数据，解析。canal-server自身配置实例来获取binlog数据，canap-adapter程序连接canal-server中配置的实例，获取binlog信息，消费binlog数据，通过ES适配器同步到ES对应的索引中。大致的一个数据流程就是这样的，具体配置请往下看。
具体配置实现：
1、开启MySQL数据的binlog日志记录并且为ROW模式
[root@aliyun ~]# vim /etc/my.cnf ...... [mysqld] log-bin=mysql-bin # 开启 binlog binlog-format=ROW # 选择 ROW 模式 server_id = 1 ......
重启MySQL，登陆MySQL检测配置是否生效。
mysql> show variables like 'log_bin%'; +---------------------------------+----------------------------------+ | Variable_name | Value | +---------------------------------+----------------------------------+ | log_bin | ON | | log_bin_basename | /data/mysql/data/mysql-bin | | log_bin_index | /data/mysql/data/mysql-bin.index | | log_bin_trust_function_creators | OFF | | log_bin_use_v1_row_events | OFF | +---------------------------------+----------------------------------+ 5 rows in set (0.00 sec) mysql> show variables like 'binlog_format%'; +---------------+-------+ | Variable_name | Value | +---------------+-------+ | binlog_format | ROW | +---------------+-------+ 1 row in set (0.00 sec)
创建canal-server连接MySQL的用户并授予读取binlog的权限。
mysql> grant all on *.* to canal@'%' identified by 'canal'; Query OK, 0 rows affected (0.01 sec) mysql> flush privileges; Query OK, 0 rows affected (0.00 sec)
2、部署canal-server
canal程序的各个组件的下载地址为：https://github.com/alibaba/canal/releases
下载程序包：
[root@aliyun ~]# wget https://github.com/alibaba/canal/releases/download/canal-1.1.3/canal.deployer-1.1.3.tar.gz
解压程序包：
[root@aliyun ~]# mkdir /usr/local/canal-server [root@aliyun ~]# tar xf canal.deployer-1.1.3.tar.gz -C /usr/local/canal-server/ [root@aliyun ~]# ll /usr/local/canal-server/ total 16 drwxr-xr-x 2 root root 4096 Jul 30 22:50 bin drwxr-xr-x 5 root root 4096 Jul 30 22:50 conf drwxr-xr-x 2 root root 4096 Jul 30 22:50 lib drwxrwxrwx 2 root root 4096 Apr 4 10:39 logs
上去修改配置文件：
需要我们重点关注的一些参数同时也是我们平常修改最多的参数如下：
canal.destinations = example #canal-server创建的实例，其他参数没有特殊需求的话不用改动
完整的根配置文件及简单参数的介绍如下：
[root@aliyun conf]# cd /usr/local/canal-server/conf/ [root@aliyun conf]# cat canal.properties ################################################# ######### common argument ############# ################################################# #canal.manager.jdbc.url=jdbc:mysql://127.0.0.1:3306/canal_manager?useUnicode=true&characterEncoding=UTF-8 #canal.manager.jdbc.username=root #canal.manager.jdbc.password=121212 canal.id = 1 #无意义的值 canal.ip = #运行canal-server服务的主机IP，可以不用配置，他会自动绑定一个本机的IP canal.port = 11111 #canal-server监听的端口（TCP模式下，非TCP模式不监听1111端口） canal.metrics.pull.port = 11112 #canal-server metrics.pull监听的端口
canal.zkServers = #集群模式下要配置zookeeper进行协调配置，单机模式可以不用配置 # flush data to zk #下面的两个参数是刷新数据到ZK的配置 canal.zookeeper.flush.period = 1000 canal.withoutNetty = false # tcp, kafka, RocketMQ canal.serverMode = tcp #canal-server运行的模式，TCP模式就是直连客户端，不经过中间件。kafka和mq是消息队列的模式 # flush meta cursor/parse position to file canal.file.data.dir = ${canal.conf.dir} #存放数据的路径 canal.file.flush.period = 1000 ## memory store RingBuffer size, should be Math.pow(2,n) #下面是一些系统参数的配置，包括内存、网络等 canal.instance.memory.buffer.size = 16384 ## memory store RingBuffer used memory unit size , default 1kb 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 #这里是心跳检查的配置，做HA时会用到 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过滤的配置，指定过滤那些SQL canal.instance.filter.druid.ddl = true canal.instance.filter.query.dcl = false canal.instance.filter.query.dml = false canal.instance.filter.query.ddl = false canal.instance.filter.table.error = false canal.instance.filter.rows = false canal.instance.filter.transaction.entry = false # binlog format/image check #binlog格式检测，使用ROW模式，非ROW模式也不会报错，但是同步不到数据，具体原因百度binlog格式的区别 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，如果是单个CPU就把下面这个true改为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 #tsdb没搞明白他是干嘛的 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 #连接数据的用户名和密码 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 # aliyun ak/sk , support rds/mq canal.aliyun.accessKey = canal.aliyun.secretKey = ################################################# ######### destinations ############# ################################################# canal.destinations = example #这个是很重要的参数，在这里指定你要创建的实例的名字，比如test1，test2等，逗号隔开 # conf root dir canal.conf.dir = ../conf # auto scan instance dir add/remove and start/stop instance canal.auto.scan = true #自动扫描加载配置 canal.auto.scan.interval = 5 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 canal.instance.global.lazy = false #canal.instance.global.manager.address = 127.0.0.1:1099 #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 ############# #MQ的配置参数，这篇不讲消息队列，只写单机canal-server直连的TCP模式 ################################################## canal.mq.servers = 127.0.0.1:6667 canal.mq.retries = 0 canal.mq.batchSize = 16384 canal.mq.maxRequestSize = 1048576 canal.mq.lingerMs = 100 canal.mq.bufferMemory = 33554432 canal.mq.canalBatchSize = 50 canal.mq.canalGetTimeout = 100 canal.mq.flatMessage = true canal.mq.compressionType = none canal.mq.acks = all # use transaction for kafka flatMessage batch produce canal.mq.transaction = false #canal.mq.properties. =
实例配置：
在根配置文件中创建了实例名称之后，需要在根配置的同级目录下创建该实例目录，canal-server为我们提供了一个示例的实例配置，因此我们可以直接复制该示例，举个例子吧：根配置配置了如下实例：
[root@aliyun conf]# vim canal.properties
...
canal.destinations = user_order,delivery_info ...
我们需要在根配置的同级目录下创建这两个实例 [root@aliyun conf]# pwd /usr/local/canal-server/conf [root@aliyun conf]# cp -a example/ user_order [root@aliyun conf]# cp -a example/ delivery_info
下面是每个实例的配置参数：配置文件为 example/instance.properties
在这个配置里我们需要注意的参数有下面几个：
[root@aliyun example]# vim instance.properties canal.instance.master.address=127.0.0.1:3306 #指定要读取binlog的MySQL的IP地址和端口 canal.instance.master.journal.name= #从指定的binlog文件开始读取数据 canal.instance.master.position= #指定偏移量，做过主从复制的应该都理解这两个参数。 #tips：binlog和偏移量也可以不指定，则canal-server会从当前的位置开始读取。我建议不设置 canal.instance.dbUsername=canal #指定连接mysql的用户密码 canal.instance.dbPassword=canal canal.instance.connectionCharset = UTF-8 #字符集 canal.instance.filter.regex=.*\\..* #这个是比较重要的参数，匹配库表白名单，比如我只要test库的user表的增量数据，则这样写 test.user # table black regex canal.instance.filter.black.regex= #这个是黑名单，规则和白名单一样。具体匹配规则可以参见wiki：https://github.com/alibaba/canal/wiki/AdminGuide
完整配置和参数解释如下：
[root@aliyun conf]# cd example/ [root@aliyun example]# cat instance.properties ################################################# ## mysql serverId , v1.0.26+ will autoGen # canal.instance.mysql.slaveId=0 # enable gtid use true/false canal.instance.gtidon=false #启用GTID，默认不启用 # position info #同步的位置点信息，包括binlog和偏移量等 canal.instance.master.address=127.0.0.1:3306 canal.instance.master.journal.name= canal.instance.master.position= canal.instance.master.timestamp= canal.instance.master.gtid= # rds oss binlog #rds oss的同步 canal.instance.rds.accesskey= canal.instance.rds.secretkey= canal.instance.rds.instanceId= # table meta tsdb info canal.instance.tsdb.enable=true #启用tsdb，他应该是记录数据用的 #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 = #这几个参数是设置高可用配置的，可以配置mysql从库的信息 #canal.instance.standby.journal.name = #canal.instance.standby.position = #canal.instance.standby.timestamp = #canal.instance.standby.gtid= # username/password #用户名密码 canal.instance.dbUsername=canal canal.instance.dbPassword=canal canal.instance.connectionCharset = UTF-8 # enable druid Decrypt database password canal.instance.enableDruid=false #canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiNdH1FWgGCpUfircSwlWKUCAwEAAQ== # table regex #过滤规则 canal.instance.filter.regex=.*\\..* # table black regex canal.instance.filter.black.regex= # mq config #MQ的相关配置，本篇不涉及 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,.*\\..* #################################################
当你配置好你所需要的所有实例之后，就可以启动canal-server了
[root@aliyun example]# cd /usr/local/canal-server/bin/ [root@aliyun bin]# sh startup.sh #启动命令 [root@aliyun bin]# tailf ../logs/canal/canal.log #查看日志信息 OpenJDK 64-Bit Server VM warning: ignoring option PermSize=96m; support was removed in 8.0 OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=256m; support was removed in 8.0 OpenJDK 64-Bit Server VM warning: UseCMSCompactAtFullCollection is deprecated and will likely be removed in a future release. OpenJDK 64-Bit Server VM warning: If the number of processors is expected to increase from one, then you should configure the number of parallel GC threads appropriately using -XX:ParallelGCThreads=N OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(0x0000000700000000, 1073741824, 0) failed; error='Cannot allocate memory' (errno=12) # # There is insufficient memory for the Java Runtime Environment to continue. # Native memory allocation (mmap) failed to map 1073741824 bytes for committing reserved memory. # An error report file with more information is saved as: # /usr/local/canal-server/bin/hs_err_pid2261.log
不能分配内存，导致启动失败。把堆内存调小一点。
[root@aliyun bin]# vim startup.sh #把启动设置的内存改小点，最后结果可以像我这样，注意，测试才这样用的，实际使用时注意给大点内存，多大自己把握。
[root@aliyun bin]# grep 512m startup.sh JAVA_OPTS="-server -Xms512m -Xmx512m -Xmn512m -XX:SurvivorRatio=2 -XX:PermSize=96m -XX:MaxPermSize=256m -Xss256k -XX:-UseAdaptiveSizePolicy -XX:MaxTenuringThreshold=15 -XX:+DisableExplicitGC -XX:+UseConcMarkSweepGC -XX:+CMSParallelRemarkEnabled -XX:+UseCMSCompactAtFullCollection -XX:+UseFastAccessorMethods -XX:+UseCMSInitiatingOccupancyOnly -XX:+HeapDumpOnOutOfMemoryError"
重新启动：
[root@aliyun bin]# sh restart.sh ;tailf ../logs/canal/canal.log 2019-07-31 17:43:14.107 [main] INFO com.alibaba.otter.canal.deployer.CanalLauncher - ## set default uncaught exception handler 2019-07-31 17:43:14.170 [main] INFO com.alibaba.otter.canal.deployer.CanalLauncher - ## load canal configurations 2019-07-31 17:43:14.203 [main] INFO c.a.o.c.d.monitor.remote.RemoteConfigLoaderFactory - ## load local canal configurations 2019-07-31 17:43:14.210 [main] INFO com.alibaba.otter.canal.deployer.CanalStater - ## start the canal server. 2019-07-31 17:43:14.277 [main] INFO com.alibaba.otter.canal.deployer.CanalController - ## start the canal server[172.19.184.55:11111] 2019-07-31 17:43:15.307 [main] WARN o.s.beans.GenericTypeAwarePropertyDescriptor - Invalid JavaBean property 'connectionCharset' being accessed! Ambiguous write methods found next to actually used [public void com.alibaba.otter.canal.parse.inbound.mysql.AbstractMysqlEventParser.setConnectionCharset(java.nio.charset.Charset)]: [public void com.alibaba.otter.canal.parse.inbound.mysql.AbstractMysqlEventParser.setConnectionCharset(java.lang.String)] 2019-07-31 17:43:15.800 [main] ERROR com.alibaba.druid.pool.DruidDataSource - testWhileIdle is true, validationQuery not set 2019-07-31 17:43:16.230 [main] WARN c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table filter : ^.*\..*$ 2019-07-31 17:43:16.230 [main] WARN c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table black filter : 2019-07-31 17:43:16.476 [main] INFO com.alibaba.otter.canal.deployer.CanalStater - ## the canal server is running now ...... 2019-07-31 17:43:16.602 [destination = example , address = /127.0.0.1:3306 , EventParser] WARN c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> begin to find start position, it will be long time for reset or first position 2019-07-31 17:43:16.602 [destination = example , address = /127.0.0.1:3306 , EventParser] WARN c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - prepare to find start position just show master status 2019-07-31 17:43:16.637 [canal-instance-scan-0] ERROR com.alibaba.druid.pool.DruidDataSource - testWhileIdle is true, validationQuery not set 2019-07-31 17:43:16.791 [canal-instance-scan-0] WARN c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table filter : ^.*\..*$ 2019-07-31 17:43:16.791 [canal-instance-scan-0] WARN c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table black filter : 2019-07-31 17:43:16.798 [canal-instance-scan-0] INFO c.a.o.canal.deployer.monitor.SpringInstanceConfigMonitor - auto notify start user_order successful. 2019-07-31 17:43:16.879 [destination = user_order , address = /127.0.0.1:3306 , EventParser] WARN c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> begin to find start position, it will be long time for reset or first position 2019-07-31 17:43:16.880 [destination = user_order , address = /127.0.0.1:3306 , EventParser] WARN c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - prepare to find start position just show master status 2019-07-31 17:43:17.125 [canal-instance-scan-0] ERROR com.alibaba.druid.pool.DruidDataSource - testWhileIdle is true, validationQuery not set 2019-07-31 17:43:17.289 [canal-instance-scan-0] WARN c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table filter : ^.*\..*$ 2019-07-31 17:43:17.290 [canal-instance-scan-0] WARN c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table black filter : 2019-07-31 17:43:17.303 [canal-instance-scan-0] INFO c.a.o.canal.deployer.monitor.SpringInstanceConfigMonitor - auto notify start delivery_info successful. 2019-07-31 17:43:17.390 [destination = delivery_info , address = /127.0.0.1:3306 , EventParser] WARN c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> begin to find start position, it will be long time for reset or first position 2019-07-31 17:43:17.391 [destination = delivery_info , address = /127.0.0.1:3306 , EventParser] WARN c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - prepare to find start position just show master status 2019-07-31 17:43:17.985 [destination = delivery_info , address = /127.0.0.1:3306 , EventParser] WARN c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> find start position successfully, EntryPosition[included=false,journalName=mysql-bin.000001,position=4,serverId=1,gtid=<null>,timestamp=1564497896000] cost : 533ms , the next step is binlog dump 2019-07-31 17:43:17.986 [destination = example , address = /127.0.0.1:3306 , EventParser] WARN c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> find start position successfully, EntryPosition[included=false,journalName=mysql-bin.000001,position=4,serverId=1,gtid=<null>,timestamp=1564497896000] cost : 1365ms , the next step is binlog dump 2019-07-31 17:43:17.987 [destination = user_order , address = /127.0.0.1:3306 , EventParser] WARN c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> find start position successfully, EntryPosition[included=false,journalName=mysql-bin.000001,position=4,serverId=1,gtid=<null>,timestamp=1564497896000] cost : 1087ms , the next step is binlog dump
启动成功。至此呢canal-server端就启动完成了。下面配置canal-adapter适配器，同步数据到ES。
3、配置canal-adapter
下载地址：https://github.com/alibaba/canal/releases
[root@aliyun ~]# wget https://github.com/alibaba/canal/releases/download/canal-1.1.3/canal.adapter-1.1.3.tar.gz
解压：
[root@aliyun ~]# mkdir /usr/local/canal-adapter [root@aliyun ~]# tar xf canal.adapter-1.1.3.tar.gz -C /usr/local/canal-adapter/ [root@aliyun ~]# ll /usr/local/canal-adapter/ total 20 drwxr-xr-x 2 root root 4096 Jul 31 18:07 bin drwxrwxrwx 6 root root 4096 Apr 4 10:27 conf drwxr-xr-x 2 root root 4096 Jul 31 18:07 lib drwxrwxrwx 2 root root 4096 Apr 4 10:39 logs drwxrwxrwx 2 root root 4096 Apr 4 10:39 plugin
配置文件介绍：
[root@aliyun ~]# cd /usr/local/canal-adapter/conf/ [root@aliyun conf]# ll total 28 -rwxrwxrwx 1 root root 1782 Apr 4 10:27 application.yml #adapter的主配置文件 -rwxrwxrwx 1 root root 170 Apr 4 10:27 bootstrap.yml #启动引导文件 drwxr-xr-x 2 root root 4096 Jul 31 18:07 es #和es对接的配置文件目录， drwxr-xr-x 2 root root 4096 Jul 31 18:07 hbase #和hbase对接的配置文件目录 -rwxrwxrwx 1 root root 2172 Apr 4 10:27 logback.xml #日志配置 drwxrwxrwx 2 root root 4096 Jul 31 18:07 META-INF drwxrwxrwx 2 root root 4096 Apr 4 10:27 rdb
主配置文件我们需要重点关心的参数如下：
[root@aliyun conf]# grep -v "^#" application.yml server: port: 8081 spring: jackson: date-format: yyyy-MM-dd HH:mm:ss time-zone: GMT+8 default-property-inclusion: non_null canal.conf: mode: tcp # kafka rocketMQ #模式 canalServerHost: 127.0.0.1:11111 #指定canal-server的地址和端口 batchSize: 500 syncBatchSize: 1000 retries: 0 timeout: accessKey: secretKey:
srcDataSources: #数据源配置，从哪里获取数据
defaultDS: #指定一个名字，在ES的配置中会用到，唯一
url: jdbc:mysql://127.0.0.1:3306/mytest?useUnicode=true #连接的数据库地址和一个库
username: root #数据库的用户和密码
password: 121212
canalAdapters: #适配器配置 - instance: example # canal instance Name or mq topic name #指定在canal-server配置的实例 groups: - groupId: g1 #默认就好，组标示 outerAdapters: #输出 - name: es #输出到哪里？指定es
hosts: 127.0.0.1:9300 #指定es的地址，注意端口为es的传输端口9300
properties:
cluster.name: est #指定es的集群名称
然后配置es的部分：
[root@aliyun es]# pwd /usr/local/canal-adapter/conf/es [root@aliyun es]# ll total 12 -rwxrwxrwx 1 root root 466 Apr 4 10:27 biz_order.yml #这三个配置文件是自带的，可以删除，不过最好不要删除，因为可以参考他的格式 -rwxrwxrwx 1 root root 855 Apr 4 10:27 customer.yml -rwxrwxrwx 1 root root 416 Apr 4 10:27 mytest_user.yml
这里我们先配置一个简单的单表映射到es，后面在配置一个复杂点的父子文档映射（一父两子）。
单表映射配置文件取名为test.yml，要同步的数据库表结构如下：
mysql> desc order_item; +----------------------+--------------+------+-----+-------------------+----------------+ | Field | Type | Null | Key | Default | Extra | +----------------------+--------------+------+-----+-------------------+----------------+ | id | bigint(20) | NO | PRI | NULL | auto_increment | | biz_code | varchar(32) | NO | | NULL | | | user_id | bigint(20) | NO | MUL | NULL | | | user_name | varchar(64) | YES | | | | | order_id | bigint(20) | NO | MUL | NULL | | | payment_amount | bigint(20) | YES | | 0 | | | item_id | bigint(20) | NO | MUL | NULL | | | discount_amount | bigint(20) | NO | | 0 | | | point | bigint(20) | YES | | 0 | | | refund_amount | bigint(11) | YES | | 0 | | | point_amount | bigint(20) | NO | | 0 | | | refund_reason_id | tinyint(4) | YES | | NULL | | | refund_status | tinyint(4) | NO | MUL | 0 | | | refund_type | tinyint(11) | YES | MUL | NULL | | | refund_batch_no | varchar(32) | YES | | NULL | | | refund_time | datetime | YES | MUL | NULL | | | refund_response_time | datetime | YES | | NULL | | | item_sku_id | bigint(20) | NO | | NULL | | | item_sku_desc | varchar(256) | NO | | NULL | | | item_name | varchar(256) | NO | | NULL | | | delivery_mark | int(11) | YES | | 0 | | | item_type | tinyint(4) | YES | | NULL | | | original_sku_id | bigint(20) | YES | | NULL | | | item_image_url | varchar(256) | NO | | NULL | | | unit_price | bigint(20) | NO | | NULL | | | category_id | bigint(20) | YES | | NULL | | | item_brand_id | bigint(20) | YES | | NULL | | | number | int(11) | NO | | NULL | | | delivery_type | tinyint(4) | NO | | NULL | | | delivery_info_id | bigint(20) | YES | | NULL | | | activity_id | bigint(20) | YES | | NULL | | | seller_id | bigint(20) | NO | MUL | NULL | | | higo_mark | tinyint(4) | YES | | 0 | | | higo_extra_info | varchar(256) | YES | | NULL | | | virtual_mark | bigint(11) | YES | | 0 | | | supplier_id | bigint(20) | YES | | 0 | | | delivery_print_mark | tinyint(4) | YES | | 0 | | | print_info_id | bigint(20) | YES | | 0 | | | cost_price | bigint(20) | YES | | NULL | | | bar_code | varchar(256) | YES | | NULL | | | delivery_fee | bigint(20) | YES | | NULL | | | tax_fee | bigint(20) | YES | | NULL | | | real_point_amount | bigint(20) | YES | | NULL | | | real_discount_amount | bigint(20) | YES | | NULL | | | real_payment_amount | bigint(20) | YES | | NULL | | | supplier_biz_code | varchar(32) | NO | | | | | supplier_seller_id | bigint(20) | NO | | 0 | | | supplier_item_id | bigint(20) | NO | | 0 | | | supplier_sku_id | bigint(20) | NO | | 0 | | | parent_order_id | bigint(20) | NO | | 0 | | | league_amount | bigint(20) | NO | | 0 | | | supplier_amount | bigint(20) | NO | | 0 | | | proxy_mark | tinyint(4) | NO | | 0 | | | proxy_profit | bigint(20) | NO | | 0 | | | delete_mark | tinyint(2) | NO | | 0 | | | delete_timestamp | bigint(20) | YES | | 0 | | | gmt_created | datetime | NO | | CURRENT_TIMESTAMP | | | gmt_modified | datetime | NO | | CURRENT_TIMESTAMP | | | goods_status | tinyint(20) | YES | | 0 | | | video_id | bigint(20) | YES | | NULL | | | star_bonus_fee | bigint(20) | YES | | NULL | | | service_fee | bigint(20) | YES | | NULL | | | limit_type | tinyint(4) | NO | | 0 | | +----------------------+--------------+------+-----+-------------------+----------------+ 63 rows in set (0.00 sec)
对应的映射[root@aliyun ~]# cat test.yml
dataSourceKey: defaultDS #指定数据源，这个值和adapter的application.yml文件中配置的srcDataSources值对应。 destination: example #指定canal-server中配置的某个实例的名字，注意：我们可能配置多个实例，你要清楚的知道每个实例收集的是那些数据，不要瞎搞。 groupId: g1 #组ID，默认就好 esMapping: #ES的mapping（映射） _index: user_order #要同步到的ES的索引名称（自定义），需要自己在ES上创建哦！ _type: user_order # ES索引的类型名称（自定义） _id: _id #ES标示文档的唯一标示，通常对应数据表中的主键ID字段，注意我这里写成的是"_id"，有个下划线哦！ sql: "select concat('item_',t.id) as _id, #这里就是数据表中的每个字段到ES索引中叫什么名字的sql映射，注意映射到es中的每个字段都要是唯一的，不能重复。 t.biz_code as item_biz_code, #可以全表映射到ES中，也可以部分字段映射到ES中，只要把不要的字段不写在这个sql映射中就OK啦 t.user_id as item_user_id, # t.user_id 是数据表中的字段，当他到es中后叫做item_user_name，as后面是自定义的名字。 t.user_name as item_user_name, t.order_id, #当然也可以不取别名，像这样，到ES中后就叫order_id t.id as item_primary_id, t.payment_amount as item_payment_amount, t.item_id as item_id, t.discount_amount as item_discount_amount, t.refund_amount as item_refund_amount, t.refund_reason_id as item_refund_reason_id, t.order_id as item_order_id, t.refund_status as item_refund_status, t.refund_type as item_refund_type, t.refund_batch_no as item_refund_batch_no, t.refund_time as item_refund_time, t.refund_response_time as item_refund_response_time, t.item_sku_id as item_sku_id, t.item_sku_desc as item_sku_desc, t.item_name as item_item_name, t.delivery_mark as item_delivery_mark, t.item_type as item_type, t.item_image_url as item_image_url, t.unit_price as item_unit_price, t.category_id as item_category_id, t.number as item_number, t.delivery_type as item_delivery_type, t.delivery_info_id as item_delivery_info_id, t.activity_id as item_activity_id, t.seller_id as item_seller_id, t.cost_price as item_cost_price, t.bar_code as item_bar_code, t.delivery_fee as item_delivery_fee, t.parent_order_id as item_parent_order_id, t.proxy_mark as item_proxy_mark, t.proxy_profit as item_proxy_profit, t.delete_mark as item_delete_mark, t.delete_timestamp as item_delete_timestamp, t.gmt_created as item_gmt_created, t.gmt_modified as item_gmt_modified, t.star_bonus_fee as item_star_bonus_fee, t.service_fee as item_service_fee, t.limit_type as item_limit_type from order_item t" etlCondition: "where t.c_time>='{0}'" #ETL同步的条件，ETL是什么自行百度 commitBatch: 3000 #每次同步提交的大小
sql映射文件写完之后，要去ES上面创建对应的索引和映射，映射要求要和sql文件的映射保持一致，即sql映射中有的字段在ES的索引映射中必须要有，否则同步会报字段错误，导致失败。
上面对应的索引映射如下：
可以使用head插件创建索引映射：如图：
{ "mappings": { "user_order": { "properties": { "item_user_id": { "type": "long" }, "item_user_name": { "type": "text", "analyzer": "ik_max_word", "search_analyzer": "ik_smart" }, "item_biz_code": { "type": "text" }, "order_user_name": { "type": "text" }, "item_payment_amount": { "type": "long" }, "item_id": { "type": "long" }, "item_discount_amount": { "type": "long" }, "item_refund_amount": { "type": "long" }, "item_refund_reason_id": { "type": "long" }, "item_refund_status": { "type": "long" }, "item_refund_type": { "type": "long" }, "item_refund_batch_no": { "type": "text" }, "item_refund_time": { "type": "date" }, "item_refund_response_time": { "type": "date" }, "item_sku_id": { "type": "long" }, "item_sku_desc": { "type": "text" }, "item_item_name": { "type": "text" }, "item_delivery_mark": { "type": "long" }, "item_type": { "type": "long" }, "item_image_url": { "type": "text" }, "item_unit_price": { "type": "long" }, "item_category_id": { "type": "long" }, "item_number": { "type": "long" }, "item_delivery_type": { "type": "long" }, "item_delivery_info_id": { "type": "long" }, "item_activity_id": { "type": "long" }, "item_seller_id": { "type": "long" }, "item_cost_price": { "type": "long" }, "item_bar_code": { "type": "text" }, "item_order_id": { "type": "long" }, "item_delivery_fee": { "type": "long" }, "item_parent_order_id": { "type": "long" }, "item_proxy_mark": { "type": "long" }, "item_proxy_profit": { "type": "long" }, "item_delete_mark": { "type": "long" }, "item_delete_timestamp": { "type": "long" }, "item_gmt_created": { "type": "date" }, "item_gmt_modified": { "type": "date" }, "item_star_bonus_fee": { "type": "long" }, "item_service_fee": { "type": "long" }, "item_limit_type": { "type": "long" } } } } }
可能我的sql映射和es的索引映射可能会有字段丢失，因为太多了大晚上的我也不想一个一个对照了，反正方法就是这样的。完成之后，启动canal-adapter，开始同步数据。
启动canal-adapter：
[root@aliyun bin]# pwd /usr/local/canal-adapter/bin [root@aliyun bin]# ./startup.sh
查看日志：
[root@aliyun bin]# tailf ../logs/adapter/adapter.log
2019-07-31 22:07:41.608 [main] INFO c.a.o.canal.adapter.launcher.loader.CanalAdapterService - ## the canal client adapters are running now ...... 2019-07-31 22:07:41.617 [main] INFO org.apache.coyote.http11.Http11NioProtocol - Starting ProtocolHandler ["http-nio-8081"] 2019-07-31 22:07:41.625 [main] INFO org.apache.tomcat.util.net.NioSelectorPool - Using a shared selector for servlet write/read 2019-07-31 22:07:41.633 [Thread-3] INFO c.a.o.canal.adapter.launcher.loader.CanalAdapterWorker - =============> Start to connect destination: example <============= 2019-07-31 22:07:41.794 [main] INFO o.s.boot.web.embedded.tomcat.TomcatWebServer - Tomcat started on port(s): 8081 (http) with context path '' 2019-07-31 22:07:41.797 [main] INFO c.a.otter.canal.adapter.launcher.CanalAdapterApplication - Started CanalAdapterApplication in 8.123 seconds (JVM running for 9.181) 2019-07-31 22:07:42.276 [Thread-3] INFO c.a.o.canal.adapter.launcher.loader.CanalAdapterWorker - =============> Start to subscribe destination: example <============= 2019-07-31 22:07:42.406 [Thread-3] INFO c.a.o.canal.adapter.launcher.loader.CanalAdapterWorker - =============> Subscribe destination: example succeed <=============
配置好通路之后，先做一次全量数据同步：
curl http://127.0.0.1:8081/etl/es/test.yml -X POST
现在可以在数据库中插入一条或者更改一条数据，查看日志看es中的数据是否同步，如果启动过程没有什么错误的话就成功啦，不过不可能那么顺利的，遇到问题解决问题才是进步成长的过程不要放弃！
鉴于篇幅原因，父子文档下篇在写。