ogg微服务版可以再界面上配置抽取、复制进程，不必进入到shell中进行配置，并且图形化界面可以看到更多信息。

系统架构

源端安装ogg for oracle 19C ,
目标端安装ogg for bigdata 21C
kafka 2.2
数据库：19C
所有软件安装在同台服务器上（Oracle Linux7）

源配置-抽取进程

示例数据配置

选取数据库自带的hr相关表作为示例演示（相关表配置有主键），比较符合规范。

sqlplus / as sysdba
alter session set "_ORACLE_SCRIPT"=true;
alter session set container=ORCLPDB1;
@?/demo/schema/human_resources/hr_main.sql

INSTALL OGG FOR ORACLE

#配置环境变量
# User specific aliases and functions
export ORACLE_BASE=/opt/oracle
export ORACLE_HOME=/opt/oracle/product/19c/dbhome_1
export ORACLE_SID=ORCLCDB
export PATH=$PATH:$ORACLE_HOME/bin
export JAVA_HOME=/home/oracle/jdk1.8.0_351
export PATH=$JAVA_HOME/bin:$PATH 
export LD_LIBRARY_PATH=$JAVA_HOME/jre/lib/amd64/server:$LD_LIBRARY_PATH
#别名配置
alias ggsci='rlwrap ggsci'
alias sqlplus='rlwrap sqlplus'
alias rman='rlwrap rman'
alias lsnrctl='rlwrap lsnrctl'
alias asmcmd='rlwrap asmcmd'
alias adrci='rlwrap adrci'
#执行安装
sudo unzip /vagrant/$ORACLE_GG_SETUP_FILE -d /u01/ogg-installer
cp /vagrant/ora-response/ogg_install.rsp.tmpl /tmp/oggresponse.rsp
sed -i -e "s|###ORACLE_BASE###|$ORACLE_BASE|g" /tmp/oggresponse.rsp
sed -i -e "s|###ORACLE_HOME###|$ORACLE_HOME|g" /tmp/oggresponse.rsp
chown oracle:oinstall -R /u01/ogg-installer
chown oracle:oinstall -R /u01/ogg
#su -l oracle -c "/u01/ogg-installer/fbo_ggs_Linux_x64_shiphome/Disk1/runInstaller -silent -waitforcompletion -responseFile /tmp/oggresponse.rsp"
su -l oracle -c "/u01/ogg-installer/fbo_ggs_Linux_x64_Oracle_shiphome/Disk1/runInstaller -silent -waitforcompletion -responseFile /tmp/oggresponse.rsp"
echo "export LD_LIBRARY_PATH=\$ORACLE_HOME/lib:/lib:/usr/lib" >> /home/oracle/.bashrc
rm -rf /u01/ogg-installer
rm /tmp/oggresponse.rsp
echo 'INSTALLER: Oracle Golden Gate Installed'

配置抽取进程

#1 Go to Oracle golden gate installation directory
cd /u01/ogg
#2 Open golden gate console.
./ggsci
#3 Start manager.
> start mgr
#4 Log in to the database.
> DBLOGIN USERID SYSTEM@localhost:1521/ORCLCDB PASSWORD [password copied while installation]
#5 Register Extract.
> REGISTER EXTRACT EXT1 DATABASE CONTAINER (ORCLPDB1)
#6 Enable schema-level supplemental logging for a table.
> ADD SCHEMATRANDATA ORCLPDB1.HR ALLCOLS
#7 Create an Extract group.
> ADD EXTRACT EXT1, INTEGRATED TRANLOG, BEGIN NOW
#9 Create a trail for online processing on the local system and Associate it with an Extract group.
> ADD EXTTRAIL ./dirdat/lt EXTRACT EXT1
#10 Create EXT1 parameter file and paste the content in the file.
> EDIT PARAM EXT1
EXTRACT EXT1
USERID SYSTEM@ORCLCDB, PASSWORD [password copied during installation]
EXTTRAIL ./dirdat/lt
SOURCECATALOG ORCLPDB1
TABLE HR.*;
#11 Start Extract EXT1.
> start ext1
#12 View status of manager and ext1.
> info all
Program     Status      Group       Lag at Chkpt  Time Since Chkpt
MANAGER     RUNNING
EXTRACT     RUNNING     EXT1        00:00:00      00:00:00

目标配置-复制进程

安装微服务版

按照步骤参见.先将压缩包解压到一个临时目录，然后切换到临时目录执行安装进程

#配置环境变量
export OGG_HOME=/home/oggbd/ogg_home1
export JAVA_HOME=/home/oracle/jdk1.8.0_351
export PATH=$JAVA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$JAVA_HOME/jre/lib/amd64/server:$LD_LIBRARY_PATH#执行安装
[oggbd@oracle-goldengate-1910-vagrant Disk1]$ pwd
/home/oggbd/temp/ggs_Linux_x64_BigData_services_shiphome/Disk1
[oggbd@oracle-goldengate-1910-vagrant Disk1]$ ./r
response/     runInstaller  
[oggbd@oracle-goldengate-1910-vagrant Disk1]$ ./runInstaller 

[oggbd@oracle-goldengate-1910-vagrant ~]$ export OGG_HOME=ogg_home2
[oggbd@oracle-goldengate-1910-vagrant ~]$ cd $OGG_HOME
[oggbd@oracle-goldengate-1910-vagrant ogg_home2]$ cd bin
[oggbd@oracle-goldengate-1910-vagrant bin]$ ./oggca.sh 

这个地方要注意下 LD_LIBRARY_PATH，不要重复导入，不然后面会有类冲突。

执行配置复制进程

用localhost:8002进入，点击+号

#custom_kafka_producer.properties 内容为:
bootstrap.servers=localhost:9092
acks=1
reconnect.backoff.ms=1000value.serializer=org.apache.kafka.common.serialization.ByteArraySerializer
key.serializer=org.apache.kafka.common.serialization.ByteArraySerializer
# 100KB per partition
batch.size=16384
linger.ms=0

创建成功：

查看相关资源信息：

查看kafka

#查看创建的topic
[root@oracle-goldengate-1910-vagrant bin]# ./kafka-topics.sh --zookeeper localhost:2181 --list
REGIONS
RKAFKA.rptmySchemaTopic
__consumer_offsets
mySchemaTopic
#查看同步过来的数据
[root@oracle-goldengate-1910-vagrant bin]# ./kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic REGIONS --from-beginning
&ORCLPDB1.HR.REGIONSI42022-11-15 16:54:43.00000042022-11-15T17:07:12.475000(00000000000000001783REGION_IDFOO
&ORCLPDB1.HR.REGIONSI42022-11-15 17:08:46.00000042022-11-15T17:08:49.231000(00000000000000001934REGION_IDHFOO1
{"table":"ORCLPDB1.HR.REGIONS","op_type":"I","op_ts":"2022-11-15 17:23:24.000000","current_ts":"2022-11-15T17:23:30.319000","pos":"00000000000000002081","after":{"REGION_ID":49,"REGION_NAME":"49"}}
{"table":"ORCLPDB1.HR.REGIONS","op_type":"I","op_ts":"2022-11-15 16:54:43.000000","current_ts":"2022-11-17 17:53:57.390000","pos":"00000000000000001783","after":{"REGION_ID":47,"REGION_NAME":"FOO"}}
{"table":"ORCLPDB1.HR.REGIONS","op_type":"I","op_ts":"2022-11-15 17:08:46.000000","current_ts":"2022-11-17 17:54:00.497000","pos":"00000000000000001934","after":{"REGION_ID":48,"REGION_NAME":"FOO1"}}
{"table":"ORCLPDB1.HR.REGIONS","op_type":"I","op_ts":"2022-11-15 17:23:24.000000","current_ts":"2022-11-17 17:54:00.516000","pos":"00000000000000002081","after":{"REGION_ID":49,"REGION_NAME":"49"}}
{"table":"ORCLPDB1.HR.REGIONS","op_type":"I","op_ts":"2022-11-15 16:54:43.000000","current_ts":"2022-11-17 17:54:01.712000","pos":"00000000000000001783","after":{"REGION_ID":47,"REGION_NAME":"FOO"}}
{"table":"ORCLPDB1.HR.REGIONS","op_type":"I","op_ts":"2022-11-15 17:08:46.000000","current_ts":"2022-11-17 17:54:01.837000","pos":"00000000000000001934","after":{"REGION_ID":48,"REGION_NAME":"FOO1"}}
{"table":"ORCLPDB1.HR.REGIONS","op_type":"I","op_ts":"2022-11-15 17:23:24.000000","current_ts":"2022-11-17 17:54:01.896000","pos":"00000000000000002081","after":{"REGION_ID":49,"REGION_NAME":"49"}}

参考资料

官方文档
The Ultimate Guide To Setup Golden Gate On Vagrant Box
OGG微服务部署配置
【ORACLE】OGG-微服务架构初探1（环境安装）
利用ogg实现oracle到kafka的增量
使用OGG微服务快速双向同步RDS for MySQL数据库
OGG|Oracle GoldenGate 微服务架构
徐靖专栏
袋鼠云金融交付团队-使用ogg实现oracle到kafka的增量数据实时同步