OGG实时同步Oracle数据到Kafka实施文档(供flink流式计算)

GoldenGate12C For Bigdata+Kafka：通过OGG将Oracle数据以Json格式同步到Kafka提供给flink流式计算

注意：这篇文章告诉了大家怎么搭建OGG for bigdata做测试，但是实际生活中，因为这个文章中对于insert，delete,update均放到一个topic，在后期flink注册流表或则Kylin流式构建cube时候解析有问题（因为json结构不一致），现在给出本人实际flink开发过程中用到的oggfor bigdata配置文档OGG For Bigdata 12按操作类型同步Oracle数据到kafka不同topic
Oracle可以通过OGG for Bigdata将Oracle数据库数据实时增量同步至hadoop平台（kafka，hdfs等）进行消费，笔者搭建这个环境的目的是将Oracle数据库表通过OGG同步到kafka来提供给flink做流计算。这里介绍Oracle通过OGG for Bigdata将数据变更同步至kafka的详细实施过程，整个过程已经通过本人测试没问题。
主机规划与配置：
篇幅原因，Linux系统、源端Oracle数据库和源端OGG12C的软件安装在其他文档写了，这里不再赘述。

一、安装Zookeeper集群

1、安装JDK（目的端操作）

之前安装的jdk1.7，1.7版本jdk在启replicat 进程时由于jdk版本问题导致进程abend，OGG For Bigdata12.3不支持1.7。具体报错详见：四、安装过程遇到的错误
1.1、先看下当前环境是否有安装的jdk

1[root@zookeeper ~]# rpm -qa | grep java
2java-1.7.0-openjdk-1.7.0.99-2.6.5.1.0.1.el6.x86_64
3tzdata-java-2016c-1.el6.noarch
4java-1.6.0-openjdk-1.6.0.38-1.13.10.4.el6.x86_64
5[root@zookeeper ~]# rpm -qa | grep jdk
6java-1.7.0-openjdk-1.7.0.99-2.6.5.1.0.1.el6.x86_64
7java-1.6.0-openjdk-1.6.0.38-1.13.10.4.el6.x86_64
8[root@zookeeper ~]# rpm -qa | grep gcj
9
10

1.2、删除Linux自带的jdk

1[root@zookeeper ~]# rpm -e --nodeps java-1.7.0-openjdk-1.7.0.99-2.6.5.1.0.1.el6.x86_64
2[root@zookeeper ~]# rpm -e --nodeps tzdata-java-2016c-1.el6.noarch
3[root@zookeeper ~]# rpm -e java-1.6.0-openjdk-1.6.0.38-1.13.10.4.el6.x86_64
4[root@zookeeper ~]# rpm -e java-1.7.0-openjdk-1.7.0.99-2.6.5.1.0.1.el6.x86_64
5
6

1.3、检查是否还存在linuk自带jdk

1[root@zookeeper ~]# rpm -qa | grep java
2[root@zookeeper ~]# rpm -qa | grep jdk
3[root@zookeeper ~]# rpm -qa | grep gcj
4已经不存在了
5
6

1.4、创建jdk目录

1[root@zookeeper ~]# mkdir -p /usr/java
2
3

1.5、上传并解压jdk到此目录

1[root@zookeeper ~]# cd /usr/java/
2[root@zookeeper java]# ls
3jdk-8u151-linux-x64.tar.gz
4[root@zookeeper java]# tar -zxvf jdk-8u151-linux-x64.tar.gz
5[root@zookeeper java]# rm -rf jdk-8u151-linux-x64.tar.gz
6[root@zookeeper java]# ls
7jdk1.8.0_151
8
9

1.6、编辑/etc/profile

1[root@zookeeper java]# vim /etc/profile
2写入下面jdk环境变量，保存退出
3export JAVA_HOME=/usr/java/jdk1.8.0_151
4export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
5export PATH=$PATH:$JAVA_HOME/bin
6使环境变量生效
7[root@zookeeper java]# source /etc/profile
8
9

1.7、检查jdk是否配置成功

1[root@zookeeper java]# java -version
2java version "1.8.0_151"
3Java(TM) SE Runtime Environment (build 1.8.0_151-b12)
4Java HotSpot(TM) 64-Bit Server VM (build 25.151-b12, mixed mode)
5配置没问题
6
7

2、安装Zookeeper集群（目的端操作）

这里安装方式采用在一台机器上部署一套三节点(官方推荐最少三节点)的伪集群，后面的zookeeper、kafka、ogg for bigdata软件均放在/kafka目录下
2.1、创建软件存放目录

1[root@zookeeper java]# mkdir /kafka
2[root@zookeeper java]# chown -R oracle:oinstall /kafka/
3[root@zookeeper java]# chmod -R 777 /kafka/
4
5

2.2、创建3个Zk server的集群安装目录

1[root@zookeeper java]# mkdir -p /kafka/zookeeper/zookeeper1
2[root@zookeeper java]# mkdir -p /kafka/zookeeper/zookeeper2
3[root@zookeeper java]# mkdir -p /kafka/zookeeper/zookeeper3
4
5

2.3、上传解压zookeeper软件到三个目录

1先上传文件并解压到第一个目录，cd /kafka/zookeeper/zookeeper1/做下面操作
2[root@zookeeper zookeeper1]# tar -zxvf zookeeper-3.4.6.tar.gz 
3[root@zookeeper zookeeper1]# rm -rf zookeeper-3.4.6.tar.gz 
4[root@zookeeper zookeeper1]# mv zookeeper-3.4.6/* .
5[root@zookeeper zookeeper1]# ls
6bin        CHANGES.txt  contrib     docs             ivy.xml  LICENSE.txt  README_packaging.txt  recipes  zookeeper-3.4.6      zookeeper-3.4.6.jar.asc  zookeeper-3.4.6.jar.sha1
7build.xml  conf         dist-maven  ivysettings.xml  lib      NOTICE.txt   README.txt            src      zookeeper-3.4.6.jar  zookeeper-3.4.6.jar.md5
8另外两个目录的zookeeper软件可以通过第一个目录进行copy就可
9[root@zookeeper zookeeper1]# cp -rp * /kafka/zookeeper/zookeeper2/
10[root@zookeeper zookeeper1]# cp -rp * /kafka/zookeeper/zookeeper3/
11
12

2.4、创建日志目录

1创建快照日志存放目录：
2mkdir -p /kafka/zookeeper/zookeeper1/dataDir
3mkdir -p /kafka/zookeeper/zookeeper2/dataDir
4mkdir -p /kafka/zookeeper/zookeeper3/dataDir
5创建事务日志存放目录：
6mkdir -p /kafka/zookeeper/zookeeper1/dataLogDir
7mkdir -p /kafka/zookeeper/zookeeper2/dataLogDir
8mkdir -p /kafka/zookeeper/zookeeper3/dataLogDir
9【注意】:如果不配置dataLogDir，那么事务日志也会写在dataDir目录中。这样会严重影响zk的性能。因为在zk吞吐量很高的时候，产生的事务日志和快照日志太多。
10
11

2.5、修改/etc/hosts

1修改/etc/hosts内容如下
2127.0.0.1   localhost 
3192.168.1.21 zookeeper 
4192.168.1.21 zookeeper1
5192.168.1.21 zookeeper2
6192.168.1.21 zookeeper3
7
8

2.6、修改zookeeper配置文件

1server1配置如下：
2[root@zookeeper ~]# cd /kafka/zookeeper/zookeeper1/conf/
3[root@zookeeper conf]# ls
4configuration.xsl  log4j.properties   zoo_sample.cfg 
5[root@zookeeper conf]# mv zoo_sample.cfg zoo.cfg
6[root@zookeeper conf]# vim zoo.cfg 
7配置内容如下：
8[root@zookeeper conf]# cat zoo.cfg |grep -v ^#|grep -v ^$
9tickTime=2000
10initLimit=10
11syncLimit=5
12clientPort=2181    
13dataDir=/kafka/zookeeper/zookeeper1/dataDir
14dataLogDir=/kafka/zookeeper/zookeeper1/dataLogDir
15server.1=zookeeper1:2887:3887
16server.2=zookeeper2:2888:3888
17server.3=zookeeper3:2889:3889
18server2配置文件内容如下：
19[root@zookeeper conf]# cat /kafka/zookeeper/zookeeper2/conf/zoo.cfg |grep -v ^#|grep -v ^$
20tickTime=2000
21initLimit=10
22syncLimit=5
23clientPort=2182
24dataDir=/kafka/zookeeper/zookeeper2/dataDir
25dataLogDir=/kafka/zookeeper/zookeeper2/dataLogDir
26server.1=zookeeper1:2887:3887
27server.2=zookeeper2:2888:3888
28server.3=zookeeper3:2889:3889
29server3配置文件内容如下：
30[root@zookeeper conf]# cat /kafka/zookeeper/zookeeper3/conf/zoo.cfg |grep -v ^#|grep -v ^$
31tickTime=2000
32initLimit=10
33syncLimit=5
34clientPort=2183
35dataDir=/kafka/zookeeper/zookeeper3/dataDir
36dataLogDir=/kafka/zookeeper/zookeeper3/dataLogDir
37server.1=zookeeper1:2887:3887
38server.2=zookeeper2:2888:3888
39server.3=zookeeper3:2889:3889
40在我们配置的dataDir指定的目录下面，创建一个myid文件，里面内容为一个数字，用来标识当前主机，conf/zoo.cfg文件中配置的server.X中X为什么数字，则myid文件中就输入这个数字：
41[root@zookeeper conf]# echo "1" > /kafka/zookeeper/zookeeper1/dataDir/myid
42[root@zookeeper conf]# echo "2" > /kafka/zookeeper/zookeeper2/dataDir/myid
43[root@zookeeper conf]# echo "3" > /kafka/zookeeper/zookeeper3/dataDir/myid
44
45

2.7、关闭防火墙

1关闭防火墙并禁止开机自启：
2service iptables stop
3sudo chkconfig iptables off
4
5

2.8、启动zookeeper集群

1[root@zookeeper bin]# /kafka/zookeeper/zookeeper1/bin/zkServer.sh start 
2JMX enabled by default
3Using config: /kafka/zookeeper/zookeeper1/bin/../conf/zoo.cfg
4Starting zookeeper ... STARTED
5这里虽然显示启动了，但是来看一下启动日志：
6[root@zookeeper bin]# tail -f zookeeper.out 
7	at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
8	at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
9	at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
10	at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
11	at java.net.Socket.connect(Socket.java:579)
12	at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectOne(QuorumCnxManager.java:368)
13	at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectAll(QuorumCnxManager.java:402)
14	at org.apache.zookeeper.server.quorum.FastLeaderElection.lookForLeader(FastLeaderElection.java:840)
15	at org.apache.zookeeper.server.quorum.QuorumPeer.run(QuorumPeer.java:762)
162018-12-11 16:58:26,328 [myid:1] - INFO  [QuorumPeer[myid=1]/0:0:0:0:0:0:0:0:2181:FastLeaderElection@849] - Notification time out: 3200
172018-12-11 16:58:29,530 [myid:1] - WARN  [QuorumPeer[myid=1]/0:0:0:0:0:0:0:0:2181:QuorumCnxManager@382] - Cannot open channel to 2 at election address zookeeper2/192.168.1.21:3888
18java.net.ConnectException: Connection refused
19	at java.net.PlainSocketImpl.socketConnect(Native Method)
20	at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
21	at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
22	at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
23	at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
24	at java.net.Socket.connect(Socket.java:579)
25	at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectOne(QuorumCnxManager.java:368)
26	at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectAll(QuorumCnxManager.java:402)
27	at org.apache.zookeeper.server.quorum.FastLeaderElection.lookForLeader(FastLeaderElection.java:840)
28	at org.apache.zookeeper.server.quorum.QuorumPeer.run(QuorumPeer.java:762)
292018-12-11 16:58:29,531 [myid:1] - WARN  [QuorumPeer[myid=1]/0:0:0:0:0:0:0:0:2181:QuorumCnxManager@382] - Cannot open channel to 3 at election address zookeeper3/192.168.1.21:3889
30java.net.ConnectException: Connection refused
31	at java.net.PlainSocketImpl.socketConnect(Native Method)
32	at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
33	at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
34	at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
35	at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
36	at java.net.Socket.connect(Socket.java:579)
37	at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectOne(QuorumCnxManager.java:368)
38	at org.apache.zookeeper.server.quorum.QuorumCnxManager.connectAll(QuorumCnxManager.java:402)
39	at org.apache.zookeeper.server.quorum.FastLeaderElection.lookForLeader(FastLeaderElection.java:840)
40	at org.apache.zookeeper.server.quorum.QuorumPeer.run(QuorumPeer.java:762)
412018-12-11 16:58:29,531 [myid:1] - INFO  [QuorumPeer[myid=1]/0:0:0:0:0:0:0:0:2181:FastLeaderElection@849] - Notification time out: 6400
42查看日志，发现日志报错，报错内容为myid=1的节点不能连接到2和3节点，这里不用管，只要启动集群另外其他节点就可正常，直接继续手动启动节点二和节点三：
43[root@zookeeper bin]# /kafka/zookeeper/zookeeper2/bin/zkServer.sh start 
44JMX enabled by default
45Using config: /kafka/zookeeper/zookeeper2/bin/../conf/zoo.cfg
46Starting zookeeper ... STARTED
47[root@zookeeper bin]# /kafka/zookeeper/zookeeper3/bin/zkServer.sh start 
48JMX enabled by default
49Using config: /kafka/zookeeper/zookeeper3/bin/../conf/zoo.cfg
50Starting zookeeper ... STARTED
51节点二和节点三都起来之后，再去看节点一的日志：
52[root@zookeeper bin]# tail -f zookeeper.out 
532018-12-11 16:58:41,828 [myid:3] - INFO  [QuorumPeer[myid=3]/0:0:0:0:0:0:0:0:2183:FileTxnSnapLog@240] - Snapshotting: 0x100000000 to /kafka/zookeeper/zookeeper3/dataDir/version-2/snapshot.1
54000000002018-12-11 16:58:41,717 [myid:2] - INFO  [zookeeper2/192.168.1.21:3888:QuorumCnxManager$Listener@511] - Received connection request /192.168.1.21:38969
552018-12-11 16:58:41,729 [myid:2] - INFO  [WorkerReceiver[myid=2]:FastLeaderElection@597] - Notification: 1 (message format version), 3 (n.leader), 0x0 (n.zxid), 0x1 (n.round), LOOKING (n.st
56ate), 3 (n.sid), 0x0 (n.peerEpoch) LEADING (my state)2018-12-11 16:58:41,761 [myid:2] - INFO  [LearnerHandler-/192.168.1.21:49909:LearnerHandler@330] - Follower sid: 3 : info : org.apache.zookeeper.server.quorum.QuorumPeer$QuorumServer@7399ae
57792018-12-11 16:58:41,802 [myid:2] - INFO  [LearnerHandler-/192.168.1.21:49909:LearnerHandler@385] - Synchronizing with Follower sid: 3 maxCommittedLog=0x0 minCommittedLog=0x0 peerLastZxid=0x
5802018-12-11 16:58:41,802 [myid:2] - INFO  [LearnerHandler-/192.168.1.21:49909:LearnerHandler@462] - Sending SNAP
592018-12-11 16:58:41,802 [myid:2] - INFO  [LearnerHandler-/192.168.1.21:49909:LearnerHandler@486] - Sending snapshot last zxid of peer is 0x0  zxid of leader is 0x100000000sent zxid of db as
60 0x1000000002018-12-11 16:58:41,831 [myid:2] - INFO  [LearnerHandler-/192.168.1.21:49909:LearnerHandler@522] - Received NEWLEADER-ACK message from 3
612018-12-11 16:58:41,707 [myid:1] - INFO  [zookeeper1/192.168.1.21:3887:QuorumCnxManager$Listener@511] - Received connection request /192.168.1.21:57295
622018-12-11 16:58:41,716 [myid:1] - INFO  [WorkerReceiver[myid=1]:FastLeaderElection@597] - Notification: 1 (message format version), 3 (n.leader), 0x0 (n.zxid), 0x1 (n.round), LOOKING (n.st
63ate), 3 (n.sid), 0x0 (n.peerEpoch) FOLLOWING (my state)
64发现此时三个节点都通了，最后的状态为 FOLLOWING (my state)，说明集群正常起来了。
65
66

2.9、Zookeeper集群状态查看方式

1可以通过命令jps查看Zookeeper进程：
2[root@zookeeper bin]# jps
328216 QuorumPeerMain
428286 QuorumPeerMain
528356 Jps
628245 QuorumPeerMain
7为了日后操作方便，决定手动编写zookeeper集群启动关闭脚本：
8[root@zookeeper zookeeper]# pwd
9/kafka/zookeeper
10[root@zookeeper zookeeper]# cat startzookeeper.sh 
11#! /bin/bash 
12/kafka/zookeeper/zookeeper1/bin/zkServer.sh start
13/kafka/zookeeper/zookeeper2/bin/zkServer.sh start
14/kafka/zookeeper/zookeeper3/bin/zkServer.sh start
15tail -f /kafka/zookeeper/zookeeper1/bin/zookeeper.out
16[root@zookeeper zookeeper]# cat stopzookeeper.sh 
17#! /bin/bash 
18/kafka/zookeeper/zookeeper1/bin/zkServer.sh stop
19/kafka/zookeeper/zookeeper2/bin/zkServer.sh stop
20/kafka/zookeeper/zookeeper3/bin/zkServer.sh stop
21tail -f /kafka/zookeeper/zookeeper1/bin/zookeeper.out
22[root@hadoop zookeeper]# cat statuszookeeper.sh 
23#! /bin/bash 
24/hadoop/zookeeper/zookeeper1/bin/zkServer.sh status
25/hadoop/zookeeper/zookeeper2/bin/zkServer.sh status
26/hadoop/zookeeper/zookeeper3/bin/zkServer.sh status
27
28

2.10、测试zookeeper集群健康状态

1可以通过ZooKeeper的脚本来查看启动状态，包括集群中各个结点的角色（或是Leader，或是Follower）
2[root@zookeeper zookeeper]# /kafka/zookeeper/zookeeper1/bin/zkServer.sh status
3JMX enabled by default
4Using config: /kafka/zookeeper/zookeeper1/bin/../conf/zoo.cfg
5Mode: follower
6[root@zookeeper zookeeper]# /kafka/zookeeper/zookeeper2/bin/zkServer.sh status
7JMX enabled by default
8Using config: /kafka/zookeeper/zookeeper2/bin/../conf/zoo.cfg
9Mode: leader
10[root@zookeeper zookeeper]# /kafka/zookeeper/zookeeper3/bin/zkServer.sh status
11JMX enabled by default
12Using config: /kafka/zookeeper/zookeeper3/bin/../conf/zoo.cfg
13Mode: follower
14通过上面状态查询结果可见，节点二是集群的Leader，其余的两个结点是Follower。
15另外，可以通过客户端脚本，连接到ZooKeeper集群上。对于客户端来说，ZooKeeper是一个整体，连接到ZooKeeper集群实际上感觉在独享整个集群的服务，所以，你可以在任何一个结点上建立到服务集群的连接。
16[root@zookeeper zookeeper]# /kafka/zookeeper/zookeeper1/bin/zkCli.sh -server localhost:2181
17Connecting to localhost:2181
182018-12-11 17:13:21,760 [myid:] - INFO  [main:Environment@100] - Client environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT
192018-12-11 17:13:21,764 [myid:] - INFO  [main:Environment@100] - Client environment:host.name=<NA>
202018-12-11 17:13:21,765 [myid:] - INFO  [main:Environment@100] - Client environment:java.version=1.7.0_80
212018-12-11 17:13:21,768 [myid:] - INFO  [main:Environment@100] - Client environment:java.vendor=Oracle Corporation
222018-12-11 17:13:21,769 [myid:] - INFO  [main:Environment@100] - Client environment:java.home=/usr/java/jdk1.7.0_80/jre
232018-12-11 17:13:21,769 [myid:] - INFO  [main:Environment@100] - Client environment:java.class.path=/kafka/zookeeper/zookeeper1/bin/../build/classes:/kafka/zookeeper/zookeeper1/bin/../build
24/lib/*.jar:/kafka/zookeeper/zookeeper1/bin/../lib/slf4j-log4j12-1.6.1.jar:/kafka/zookeeper/zookeeper1/bin/../lib/slf4j-api-1.6.1.jar:/kafka/zookeeper/zookeeper1/bin/../lib/netty-3.7.0.Final.jar:/kafka/zookeeper/zookeeper1/bin/../lib/log4j-1.2.16.jar:/kafka/zookeeper/zookeeper1/bin/../lib/jline-0.9.94.jar:/kafka/zookeeper/zookeeper1/bin/../zookeeper-3.4.6.jar:/kafka/zookeeper/zookeeper1/bin/../src/java/lib/*.jar:/kafka/zookeeper/zookeeper1/bin/../conf:.:/usr/java/jdk1.7.0_80/lib/dt.jar:/usr/java/jdk1.7.0_80/lib/tools.jar2018-12-11 17:13:21,770 [myid:] - INFO  [main:Environment@100] - Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib
252018-12-11 17:13:21,770 [myid:] - INFO  [main:Environment@100] - Client environment:java.io.tmpdir=/tmp
262018-12-11 17:13:21,770 [myid:] - INFO  [main:Environment@100] - Client environment:java.compiler=<NA>
272018-12-11 17:13:21,771 [myid:] - INFO  [main:Environment@100] - Client environment:os.name=Linux
282018-12-11 17:13:21,771 [myid:] - INFO  [main:Environment@100] - Client environment:os.arch=amd64
292018-12-11 17:13:21,771 [myid:] - INFO  [main:Environment@100] - Client environment:os.version=4.1.12-37.4.1.el6uek.x86_64
302018-12-11 17:13:21,772 [myid:] - INFO  [main:Environment@100] - Client environment:user.name=root
312018-12-11 17:13:21,772 [myid:] - INFO  [main:Environment@100] - Client environment:user.home=/root
322018-12-11 17:13:21,773 [myid:] - INFO  [main:Environment@100] - Client environment:user.dir=/kafka/zookeeper
332018-12-11 17:13:21,775 [myid:] - INFO  [main:ZooKeeper@438] - Initiating client connection, connectString=localhost:2181 sessionTimeout=30000 watcher=org.apache.zookeeper.ZooKeeperMain$MyW
34atcher@49134043Welcome to ZooKeeper!
352018-12-11 17:13:21,821 [myid:] - INFO  [main-SendThread(localhost:2181):ClientCnxn$SendThread@975] - Opening socket connection to server localhost/127.0.0.1:2181. Will not attempt to authe
36nticate using SASL (unknown error)2018-12-11 17:13:21,843 [myid:] - INFO  [main-SendThread(localhost:2181):ClientCnxn$SendThread@852] - Socket connection established to localhost/127.0.0.1:2181, initiating session
37JLine support is enabled
38[zk: localhost:2181(CONNECTING) 0] 2018-12-11 17:13:21,996 [myid:] - INFO  [main-SendThread(localhost:2181):ClientCnxn$SendThread@1235] - Session establishment complete on server localhost/
39127.0.0.1:2181, sessionid = 0x1679c86f3d50000, negotiated timeout = 30000
40WATCHER::
41
42WatchedEvent state:SyncConnected type:None path:null
43
44[zk: localhost:2181(CONNECTED) 0] 
45
46

二、安装Kafka

1.1、创建kafka安装目录上传并解压

1[root@zookeeper ~]# mkdir /kafka/kafka
2[root@zookeeper ~]# cd /kafka/kafka/
3[root@zookeeper kafka]# ls
4kafka_2.11-1.1.1.tgz
5[root@zookeeper kafka]# tar zxf kafka_2.11-1.1.1.tgz 
6[root@zookeeper kafka]# ls
7kafka_2.11-1.1.1  kafka_2.11-1.1.1.tgz
8[root@zookeeper kafka]# rm -rf kafka_2.11-1.1.1.tgz 
9[root@zookeeper kafka]# ls
10kafka_2.11-1.1.1
11[root@zookeeper kafka]# mv kafka_2.11-1.1.1/* .
12[root@zookeeper kafka]# rm -rf kafka_2.11-1.1.1
13[root@zookeeper kafka]# ls
14bin  config  libs  LICENSE  NOTICE  site-docs
15
16

1.2、修改配置文件

1[root@zookeeper config]# pwd
2/kafka/kafka/config
3[root@zookeeper config]# vim server.properties
4修改内容如如下：
5[root@zookeeper config]# cat server.properties |grep -v ^#|grep -v ^$
6broker.id=0
7num.network.threads=3
8num.io.threads=8
9socket.send.buffer.bytes=102400
10socket.receive.buffer.bytes=102400
11socket.request.max.bytes=104857600
12log.dirs=/kafka/kafka/logs
13num.partitions=1
14num.recovery.threads.per.data.dir=1
15offsets.topic.replication.factor=1
16transaction.state.log.replication.factor=1
17transaction.state.log.min.isr=1
18log.retention.hours=168
19log.segment.bytes=1073741824
20log.retention.check.interval.ms=300000
21zookeeper.connect=localhost:2181,localhost:2182,localhost:2183
22zookeeper.connection.timeout.ms=6000
23group.initial.rebalance.delay.ms=0
24delete.topic.enble=true             -----如果不指定这个参数，执行删除操作只是标记删除
25auto.create.topics.enable=true      -----此参数可以考虑是否添加，如果不添加，在kafka.props中配置的topicname在启动应用进程前必须手动创建好，详细分析见：四、安装过程遇到的错误
26
27

1.3、启动kafka

1在保证zookeeper集群没问题的前提下启动：
2[root@zookeeper kafka]# nohup bin/kafka-server-start.sh  config/server.properties&
3如果nohup.out 无报错则说明启动成功。
4
5

1.4、功能测试

1创建一个topic
2[root@zookeeper bin]# pwd
3/kafka/kafka/bin
4[root@zookeeper bin]# ./kafka-topics.sh --create --zookeeper zookeeper1:2181 --replication-factor 1 --partitions 1 --topic tests
5Created topic "tests".
6查看创建的topic
7[root@zookeeper bin]# ./kafka-topics.sh -describe -zookeeper zookeeper1:2181
8Topic:tests	PartitionCount:1	ReplicationFactor:1	Configs:
9	Topic: tests	Partition: 0	Leader: 0	Replicas: 0	Isr: 0
10
11打开2个终端， 分别在Kafka目录执行以下命令
12会话1：
13[root@zookeeper bin]# ./kafka-console-producer.sh --broker-list localhost:9092 --topic tests
14>
15会话2：
16[root@zookeeper bin]# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic tests --from-beginning
17Using the ConsoleConsumer with old consumer is deprecated and will be removed in a future major release. Consider using the new consumer by passing [bootstrap-server] instead of [zookeeper]
18.
19会话1输入消息：
20[root@zookeeper bin]# ./kafka-console-producer.sh --broker-list localhost:9092 --topic tests
21>zhaoyandong
22>
23会话2显示消息：
24[root@zookeeper bin]# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic tests --from-beginning
25Using the ConsoleConsumer with old consumer is deprecated and will be removed in a future major release. Consider using the new consumer by passing [bootstrap-server] instead of [zookeeper]
26.zhaoyandong
27测试可以正常生产和消费。
28
29

三、安装配置OGG12C For bigdata

1、上传并解压安装OGG for bigdata 软件

1.1、创建ogg软件安装目录

1[root@zookeeper ~]# cd /kafka/
2[root@zookeeper kafka]# mkdir ogg12
3解压缩：
4[root@zookeeper kafka]# ls
5kafka  ogg12  zookeeper
6[root@zookeeper kafka]# cd ogg12/
7[root@zookeeper ogg12]# unzip OGG_BigData_Linux_x64_12.3.2.1.1.zip 
8Archive:  OGG_BigData_Linux_x64_12.3.2.1.1.zip
9  inflating: OGGBD-12.3.2.1-README.txt  
10  inflating: OGG_BigData_12.3.2.1.1_Release_Notes.pdf  
11  inflating: OGG_BigData_Linux_x64_12.3.2.1.1.tar  
12[root@zookeeper ogg12]# ls
13OGGBD-12.3.2.1-README.txt  OGG_BigData_12.3.2.1.1_Release_Notes.pdf  OGG_BigData_Linux_x64_12.3.2.1.1.tar  OGG_BigData_Linux_x64_12.3.2.1.1.zip
14[root@zookeeper ogg12]# rm -rf OGG_BigData_Linux_x64_12.3.2.1.1.zip 
15[root@zookeeper ogg12]# tar xf OGG_BigData_Linux_x64_12.3.2.1.1.tar 
16
17

1.2、配置环境变量

1[root@zookeeper ~]# cat .bash_profile -----之前使用的jdk1.7后来启动应用进程时报错，现在配置为正确配置，之前错误详见后面实施过程中遇到的问题
2# .bash_profile
3
4# Get the aliases and functions
5if [ -f ~/.bashrc ]; then
6	. ~/.bashrc
7fi
8
9# User specific environment and startup programs
10
11PATH=$PATH:$HOME/bin
12
13export PATH
14export JAVA_HOME=/usr/java/jdk1.8.0_151
15export CLASSPATH=.:$JAVA_HOME/jre/lib/rt.jar:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
16export PATH=$PATH:$JAVA_HOME/bin
17export GGHOME=/kafka/ogg12
18export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$JAVA_HOME/jre/lib/amd64/libjsig.so:$JAVA_HOME/jre/lib/amd64/server/libjvm.so:$JAVA_HOME/jre/lib/amd64/server:$JAVA_HOME/jre/lib/amd64:$GG_HOME:/lib
19
20测试一下环境变量有没有问题：
21[root@zookeeper ~]# cd /kafka/ogg12/
22[root@zookeeper ogg12]# ./ggsci
23
24Oracle GoldenGate for Big Data
25Version 12.3.2.1.1 (Build 005)
26
27Oracle GoldenGate Command Interpreter
28Version 12.3.0.1.2 OGGCORE_OGGADP.12.3.0.1.2_PLATFORMS_180712.2305
29Linux, x64, 64bit (optimized), Generic on Jul 13 2018 00:46:09
30Operating system character set identified as UTF-8.
31
32Copyright (C) 1995, 2018, Oracle and/or its affiliates. All rights reserved.
33
34
35
36GGSCI (zookeeper) 1> info all
37
38Program     Status      Group       Lag at Chkpt  Time Since Chkpt
39
40MANAGER     STOPPED                                           
41没问题。
42
43

1.3、初始化目录

1GGSCI (zookeeper) 2> create subdirs
2
3Creating subdirectories under current directory /kafka/ogg12
4
5Parameter file                 /kafka/ogg12/dirprm: created.
6Report file                    /kafka/ogg12/dirrpt: created.
7Checkpoint file                /kafka/ogg12/dirchk: created.
8Process status files           /kafka/ogg12/dirpcs: created.
9SQL script files               /kafka/ogg12/dirsql: created.
10Database definitions files     /kafka/ogg12/dirdef: created.
11Extract data files             /kafka/ogg12/dirdat: created.
12Temporary files                /kafka/ogg12/dirtmp: created.
13Credential store files         /kafka/ogg12/dircrd: created.
14Masterkey wallet files         /kafka/ogg12/dirwlt: created.
15Dump files                     /kafka/ogg12/dirdmp: created.
16
17

1.4、配置MGR进程

1编辑MGR进程
2GGSCI (zookeeper) 5> edit params mgr
3写入下面内容
4PORT 7809
5DYNAMICPORTLIST 7810-7860
6AUTORESTART ER *, RETRIES 3, WAITMINUTES 5
7PURGEOLDEXTRACTS ./dirdat/*, USECHECKPOINTS, MINKEEPDAYS 30
8lagreporthours 1
9laginfominutes 30
10lagcriticalminutes 60
11启动mgr进程
12GGSCI (zookeeper) 7> start mgr
13Manager started.
14
15
16GGSCI (zookeeper) 8> info all
17
18Program     Status      Group       Lag at Chkpt  Time Since Chkpt
19
20MANAGER     RUNNING 
21
22

2、源端创建测试用表：

1在scott下创建测试表kafka：
2create table KAFKA
3(
4  empno    NUMBER(4) not null,
5  ename    VARCHAR2(10),
6  job      VARCHAR2(9),
7  mgr      NUMBER(4),
8  hiredate DATE,
9  sal      NUMBER(7,2),
10  comm     NUMBER(7,2),
11  deptno   NUMBER(2)
12);
13alter table KAFKA
14  add constraint PK_KAFKA primary key (EMPNO);
15插入测试数据：
16insert into kafka select * from emp where sal is not null;
17select * from kafka;
18
19

在这里插入图片描述

3、源端增加配置管理、抽取、投递进程

3.1、添加kafka表附加日志

1GGSCI (source) 5> dblogin userid ogg password ogg
2Successfully logged into database.
3
4GGSCI (source as ogg@orcl) 6> add trandata scott.kafka
5
6TRANDATA for instantiation CSN has been added on table 'SCOTT.KAFKA'.
7GGSCI (source as ogg@orcl) 7> add trandata scott.kafka
8
9GGSCI (source as ogg@orcl) 8> info trandata scott.kafka
10
11Logging of supplemental redo log data is enabled for table SCOTT.KAFKA.
12
13Columns supplementally logged for table SCOTT.KAFKA: EMPNO.
14
15Prepared CSN for table SCOTT.KAFKA: 1432176
16
17

3.2、配置OGG的全局变量

1GGSCI (source as ogg@orcl) 6> edit param ./globals
2加入下面内容：
3oggschema ogg
4
5

3.3、配置MGR进程

1GGSCI (source) 1> edit params mgr
2PORT 7809
3DYNAMICPORTLIST 7810-7860
4AUTORESTART ER *, RETRIES 3, WAITMINUTES 5
5PURGEOLDEXTRACTS ./dirdat/*, USECHECKPOINTS, MINKEEPDAYS 30
6lagreporthours 1
7laginfominutes 30
8lagcriticalminutes 60
9启动mgr进程
10GGSCI (source as ogg@orcl) 37> start mgr
11
12

3.4、编辑抽取进程

1GGSCI (source) 2> edit params e_ka
2extract e_ka
3userid ogg,password ogg
4setenv(NLS_LANG=AMERICAN_AMERICA.AL32UTF8)
5setenv(ORACLE_SID="orcl")
6reportcount every 30 minutes,rate
7numfiles 5000
8discardfile ./dirrpt/e_ka.dsc,append,megabytes 1000
9warnlongtrans 2h,checkinterval 30m
10exttrail ./dirdat/ka
11dboptions allowunusedcolumn
12tranlogoptions archivedlogonly
13tranlogoptions altarchivelogdest primary /u01/arch
14dynamicresolution
15fetchoptions nousesnapshot
16ddl include mapped
17ddloptions addtrandata,report
18notcpsourcetimer
19NOCOMPRESSDELETES
20NOCOMPRESSUPDATES
21GETUPDATEBEFORES
22----------scott.kafka
23table SCOTT.KAFKA,tokens(
24TKN-CSN = @GETENV('TRANSACTION', 'CSN'),
25TKN-COMMIT-TS = @GETENV ('GGHEADER', 'COMMITTIMESTAMP'),
26TKN-OP-TYPE = @GETENV ('GGHEADER', 'OPTYPE')
27);
28
29

3.5、添加抽取进程

1GGSCI (source as ogg@orcl) 7> add extract e_ka,tranlog,begin now
2EXTRACT added.
3GGSCI (source as ogg@orcl) 9> add exttrail ./dirdat/ka,extract e_ka,megabytes 500
4EXTTRAIL added.
5启动抽取进程
6GGSCI (source as ogg@orcl) 10>start e_ka
7
8

3.6、投递进程配置

1GGSCI (source as ogg@orcl) 27> edit params d_ka
2加入下面配置
3extract d_ka
4rmthost 192.168.1.21,mgrport 7809,compress
5userid ogg,password ogg
6PASSTHRU
7numfiles 5000
8rmttrail ./dirdat/ka
9dynamicresolution
10table scott.kafka;
11
12

3.7、添加投递进程

1GGSCI (source as ogg@orcl) 29> add extract d_ka,exttrailsource ./dirdat/ka
2EXTRACT added.
3GGSCI (source as ogg@orcl) 30> add rmttrail ./dirdat/ka,extract d_ka,megabytes 500
4RMTTRAIL added.
5启动投递进程
6GGSCI (source as ogg@orcl) 38> start d_ka
7
8

4、表结构定义文件

4.1、defgen配置

1GGSCI (source) 3> edit params test_kafka
2
3defsfile /u01/app/oracle/ogg12/dirdef/kafka.def
4userid ogg,password ogg
5table scott.kafka; 
6
7

4.2、生成表结构定义文件

1[oracle@source ogg12]$ pwd
2/u01/app/oracle/ogg12
3[oracle@source ogg12]$ ./defgen paramfile dirprm/test_kafka.prm 
4
5***********************************************************************
6        Oracle GoldenGate Table Definition Generator for Oracle
7      Version 12.2.0.2.2 OGGCORE_12.2.0.2.0_PLATFORMS_170630.0419
8   Linux, x64, 64bit (optimized), Oracle 11g on Jun 30 2017 11:35:56
9 
10Copyright (C) 1995, 2017, Oracle and/or its affiliates. All rights reserved.
11
12
13                    Starting at 2018-12-14 13:44:52
14***********************************************************************
15
16Operating System Version:
17Linux
18Version #2 SMP Tue May 17 07:23:38 PDT 2016, Release 4.1.12-37.4.1.el6uek.x86_64
19Node: source
20Machine: x86_64
21                         soft limit   hard limit
22Address Space Size   :    unlimited    unlimited
23Heap Size            :    unlimited    unlimited
24File Size            :    unlimited    unlimited
25CPU Time             :    unlimited    unlimited
26
27Process id: 5928
28
29***********************************************************************
30**            Running with the following parameters                  **
31***********************************************************************
32defsfile /u01/app/oracle/ogg12/dirdef/kafka.def
33userid ogg,password ***
34table scott.kafka;
35Retrieving definition for SCOTT.KAFKA.
36
37
38Definitions generated for 1 table in /u01/app/oracle/ogg12/dirdef/kafka.def.
39
40

4.3、将生成的表定义文件发送到目标端

1scp  /u01/app/oracle/ogg12/dirdef/kafka.def root@192.168.1.21:/kafka/ogg12/dirdef/
2
3

5、OGG for bigdata 端配置

5.1、添加checkpoint表

1在确保zookeeper集群和kafka正常的情况下做下面配置：
2checkpoint即复制可追溯的一个偏移量记录，在全局配置里添加checkpoint表即可。
3edit  param  ./GLOBALS
4CHECKPOINTTABLE ogg.checkpoint
5
6

5.2、配置replicate进程

1GGSCI (zookeeper) 5> edit params rkafka
2REPLICAT rkafka
3-- Trail file for this example is located in "AdapterExamples/trail" directory
4-- Command to add REPLICAT
5-- add replicat rkafka, exttrail AdapterExamples/trail/tr
6TARGETDB LIBFILE libggjava.so SET property=dirprm/kafka.props
7REPORTCOUNT EVERY 1 MINUTES, RATE
8GROUPTRANSOPS 10000
9GETUPDATEBEFORES  ----12.3版本要加此参数，若不加，在普通update时，即便抽取进程加了GETUPDATEBEFORES等参数，kafka表中的被修改字段修改前的值也不会被写入，11G版本不需要此参数亦可，详情看后面实施过程遇到的错误列表
10MAP SCOTT.*, TARGET SCOTT.*;
11说明：REPLICATE rkafka定义rep进程名称；sourcedefs即在4.6中在源服务器上做的表映射文件；TARGETDB LIBFILE即定义kafka一些适配性的库文件以及配置文件，配置文件位于OGG主目录下的dirprm/kafka.props；REPORTCOUNT即复制任务的报告生成频率；GROUPTRANSOPS为以事务传输时，事务合并的单位，减少IO操作；MAP即源端与目标端的映射关系
12
13

5.3、配置custom_kafka_producer.properties

1[root@zookeeper ogg12]# cd dirprm/
2[root@zookeeper dirprm]# pwd
3/kafka/ogg12/dirprm
4[root@zookeeper dirprm]# vim custom_kafka_producer.properties 
5bootstrap.servers=localhost:9092
6acks=1
7reconnect.backoff.ms=1000
8
9value.serializer=org.apache.kafka.common.serialization.ByteArraySerializer
10key.serializer=org.apache.kafka.common.serialization.ByteArraySerializer
11# 100KB per partition
12batch.size=102400
13linger.ms=10000
14
15

5.4、配置kafka.props

1[root@zookeeper dirprm]# pwd
2/kafka/ogg12/dirprm
3[root@zookeeper dirprm]# vim kafka.props 
4写入下面内容
5gg.handlerlist = kafkahandler
6gg.handler.kafkahandler.type=kafka
7gg.handler.kafkahandler.KafkaProducerConfigFile=custom_kafka_producer.properties
8#The following resolves the topic name using the short table name
9gg.handler.kafkahandler.topicMappingTemplate=kafka
10#The following selects the message key using the concatenated primary keys
11#gg.handler.kafkahandler.keyMappingTemplate=${primaryKeys}
12gg.handler.kafkahandler.format=json
13gg.handler.kafkahandler.SchemaTopicName=scott
14gg.handler.kafkahandler.BlockingSend =true
15gg.handler.kafkahandler.includeTokens=false
16gg.handler.kafkahandler.mode=op
17gg.handler.kafkahandler.format.includePrimaryKeys=true
18
19goldengate.userexit.writers=javawriter
20javawriter.stats.display=TRUE
21javawriter.stats.full=TRUE
22
23gg.log=log4j
24gg.log.level=INFO
25
26gg.report.time=30sec
27
28#Sample gg.classpath for Apache Kafka
29gg.classpath=dirprm/:/kafka/kafka/libs/*:/kafka/ogg12/:/kafka/ogg12/lib/*
30#Sample gg.classpath for HDP
31#gg.classpath=/etc/kafka/conf:/usr/hdp/current/kafka-broker/libs/*
32
33javawriter.bootoptions=-Xmx512m -Xms32m -Djava.class.path=ggjava/ggjava.jar
34
35

5.5、添加应用进程

1add replicat rkafka,exttrail ./dirdat/ka
2--默认是从ka00000开始读取， 如果需要修改应用进程读物位置可以执行：alter rkafka extseqno 3 extrba 1123
3启动应用进程：
4GGSCI (zookeeper) 4> start rkafka
5
6

6、验证数据同步

1源端对表kafka做insert、普通update、主键+普通列一起修改的PK Update操作并切换归档：
2SQL> insert into kafka(empno,ename)values(321,'aa');
3
41 row created.
5
6SQL> commit;
7
8Commit complete.
9
10SQL> update kafka set ename='ggg' where empno=321;
11
121 row updated.
13
14SQL> commit;
15
16Commit complete.
17
18SQL> update kafka set ename='ggg',empno=123  where empno=321;
19
201 row updated.
21
22SQL> commit;
23
24Commit complete.
25
26SQL> delete from kafka where empno=123;
27
281 row deleted.
29
30SQL> commit;
31
32Commit complete.
33
34SQL> alter system switch logfile;
35
36System altered.
37
38目标端查看：
39[root@zookeeper ~]# cd /kafka/kafka/
40[root@zookeeper kafka]# ls
41bin  config  console.sh  libs  LICENSE  list.sh  logs  nohup.out  NOTICE  productcmd.sh  site-docs  startkafka.sh
42[root@zookeeper kafka]# ./console.sh 
43input topic:kafka
44Using the ConsoleConsumer with old consumer is deprecated and will be removed in a future major release. Consider using the new consumer by passing [bootstrap-server] instead of [zookeeper]
45{"table":"SCOTT.KAFKA","op_type":"I","op_ts":"2018-12-12 00:40:05.640034","current_ts":"2018-12-12T00:41:06.144000","pos":"00000000040000004377","primary_keys":["EMPNO"],"after":{"EMPNO":32
461,"ENAME":"aa","JOB":null,"MGR":null,"HIREDATE":null,"SAL":null,"COMM":null,"DEPTNO":null}}
47{"table":"SCOTT.KAFKA","op_type":"U","op_ts":"2018-12-12 00:40:26.640034","current_ts":"2018-12-12T00:41:16.160000","pos":"00000000040000004889","primary_keys":["EMPNO"],"before":{"EMPNO":3
4821,"ENAME":"aa"},"after":{"EMPNO":321,"ENAME":"ggg"}}
49{"table":"SCOTT.KAFKA","op_type":"U","op_ts":"2018-12-12 00:40:45.640034","current_ts":"2018-12-12T00:41:26.180000","pos":"00000000040000005298","primary_keys":["EMPNO"],"before":{"EMPNO":3
5021,"ENAME":"ggg"},"after":{"EMPNO":123,"ENAME":"ggg"}}
51{"table":"SCOTT.KAFKA","op_type":"D","op_ts":"2018-12-12 00:40:55.640034","current_ts":"2018-12-12T00:41:36.193000","pos":"00000000040000005502","primary_keys":["EMPNO"],"before":{"EMPNO":1
5223,"ENAME":"ggg","JOB":null,"MGR":null,"HIREDATE":null,"SAL":null,"COMM":null,"DEPTNO":null}}
53发现这几种情况的before和after值都能正常捕获。
54
55

四、安装过程遇到的部分错误

1、设置topicName的属性问题

在启动replicat进程时报错如下：

原因：在kafka.props中配置topicName时使用了下面参数;
gg.handler.kafkahandler.topicName=oggtopic
翻阅官方文档，在OGG for bigdata中，配置topicName属性的参数换成了如下：
gg.handler.kafkahandler.topicMappingTemplate=kafka
解决方法：
将kafka.props中参数替换成上面第二个再次重启replicat进程。

2、自动创建topicname失败

replicat进程启动成功后，同步数据时报错如下：
原因：gg.handler.kafkahandler.topicMappingTemplate=kafka参数配置的topicname在进程启动后同步数据时，会自动在kafka创建一个名为kafka的topic来向此topic生产数据，
但是由于kafka本身参数文件server.properties并未启用当生产者或则消费者生产或则消费某个不存在的topic时会自动创建此topic的参数，所以OGG应用进程中定义的kafka主题名自动创建时失败报错。
解决方法：在kafka参数文件server.properties参数文件中加入下面参数：
auto.create.topics.enable=true
OGG for bigdata官方说明如下：
https://docs.oracle.com/goldengate/bd123110/gg-bd/GADBD/using-kafka-handler.htm\#GADBD451
说明如下：
To enable the automatic creation of topics, set the auto.create.topics.enable property to true in the Kafka Broker Configuration. The default value for this property is true.
If the auto.create.topics.enable property is set to false in Kafka Broker configuration, then all the required topics should be created manually before starting the Replicat process.

3、JDK版本不兼容

12018-12-11 22:25:33 WARNING OGG-15053 Java method main(([Ljava/lang/String;)V) is not found in class oracle/goldengate/datasource/UserExitMain.
2
32018-12-11 22:25:33 WARNING OGG-15053 Java method getDataSource(()Loracle/goldengate/datasource/UserExitDataSource;) is not found in class oracle/goldengate/datasource/UserExitMain.
4
52018-12-11 22:25:33 WARNING OGG-15053 Java method shutdown(()V) is not found in class oracle/goldengate/datasource/UserExitMain.
6Exception in thread "main" java.lang.UnsupportedClassVersionError: oracle/goldengate/datasource/UserExitMain : Unsupported major.minor version 52.0
7 at java.lang.ClassLoader.defineClass1(Native Method)
8 at java.lang.ClassLoader.defineClass(ClassLoader.java:800)
9 at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
10 at java.net.URLClassLoader.defineClass(URLClassLoader.java:449)
11 at java.net.URLClassLoader.access$100(URLClassLoader.java:71)
12 at java.net.URLClassLoader$1.run(URLClassLoader.java:361)
13 at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
14 at java.security.AccessController.doPrivileged(Native Method)
15 at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
16 at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
17 at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
18 at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
19
20Source Context :
21  SourceModule : [gglib.ggdal.adapter.java]
22  SourceID : [/scratch/aime/adestore/views/aime_adc4150560/oggcore/OpenSys/src/gglib/ggdal/Adapter/Java/JavaAdapter.cpp]
23  SourceMethod : [HandleJavaException]
24  SourceLine : [246]
25  ThreadBacktrace : [16] elements
26                          : [/kafka/ogg12/libgglog.so(CMessageContext::AddThreadContext()+0x1e) [0x7fa29ea530ae]]
27                          : [/kafka/ogg12/libgglog.so(CMessageFactory::CreateMessage(CSourceContext*, unsigned int, ...)+0x6ac) [0x7fa29ea439bc]]
28                          : [/kafka/ogg12/libgglog.so(_MSG_String(CSourceContext*, int, char const*, CMessageFactory::MessageDisposition)+0x39) [0x7fa29ea31d19]]
29                          : [/kafka/ogg12/libggjava.so(+0x2e9e7) [0x7fa295c9d9e7]]
30                          : [/kafka/ogg12/libggjava.so(ggs::gglib::ggdal::CJavaAdapter::Open()+0x8b5) [0x7fa295c9fb05]]
31                          : [/kafka/ogg12/replicat(ggs::gglib::ggdal::CDALAdapter::Open(ggs::gglib::ggunicode::UString const&)+0x20) [0x82ef60]]
32                          : [/kafka/ogg12/replicat(GenericImpl::Open(ggs::gglib::ggunicode::UString const&)+0x2c) [0x8163fc]]
33                          : [/kafka/ogg12/replicat(odbc_param(char*, char*)+0xb1) [0x808f41]]
34                          : [/kafka/ogg12/replicat(get_infile_params(ggs::gglib::ggapp::ReplicationContextParams&, ggs::gglib::ggdatasource::DataSourceParams&, ggs::gglib::ggdatatarget::Dat
35aTargetParams&, ggs::gglib::ggmetadata::MetadataContext&)+0x9951) [0x5d5e11]]
36                          : [/kafka/ogg12/replicat() [0x6e47bd]]
37                          : [/kafka/ogg12/replicat(ggs::gglib::MultiThreading::MainThread::ExecMain()+0x5e) [0x7e2d8e]]
38                          : [/kafka/ogg12/replicat(ggs::gglib::MultiThreading::Thread::RunThread(ggs::gglib::MultiThreading::Thread::ThreadArgs*)+0x173) [0x7e7153]]
39                          : [/kafka/ogg12/replicat(ggs::gglib::MultiThreading::MainThread::Run(int, char**)+0x140) [0x7e79c0]]
40                          : [/kafka/ogg12/replicat(main+0x3b) [0x6e7e0b]]
41                          : [/lib64/libc.so.6(__libc_start_main+0xfd) [0x323e21ed1d]]
42                          : [/kafka/ogg12/replicat() [0x550831]]
43
442018-12-11 22:25:33 ERROR OGG-15051 Java or JNI exception:
45java.lang.UnsupportedClassVersionError: oracle/goldengate/datasource/UserExitMain : Unsupported major.minor version 52.0.
46
472018-12-11 22:25:33 ERROR OGG-01668 PROCESS ABENDING.
48
49

原因：根据上面错误日志来看，需要将Java的libjvm.so 和 libjsig.so库文件所在目录加入LD_LIBRARY_PATH环境变量，需要注意的是，LD_LIBRARY_PATH环境变量成效后，需要将MGR也重启一下，但是我这里环境变量已经配置了，我当前用的Java版本是1.7，OGG for Big Data要的版本是1.8，所以版本不对导致上面问题。
解决办法：jdk1.7换成1.8重新配置后从启即可。

4、Kafka中无update前数据
源端做下面操作:

1SQL> insert into kafka(empno,ename,job)values(222,'zyd','dba');
21 row created.
3SQL> commit;
4Commit complete.
5SQL> update kafka set ename='zhaoyd' where empno=222;
61 row updated.
7SQL> commit;
8Commit complete.
9SQL> update kafka set ename='yd',empno=666  where empno=222;
101 row updated.
11SQL> commit;
12Commit complete.
13SQL> delete from kafka where empno=666;
141 row deleted.
15SQL> commit;
16Commit complete.
17SQL> alter system switch logfile;
18System altered.
19SQL> /
20System altered.
21
22

查看kafka消费情况：

1{"table":"SCOTT.KAFKA","op_type":"I","op_ts":"2018-12-12 04:33:36.707853","current_ts":"2018-12-12T04:35:01.911000","pos":"00000000040000006618","primary_keys":["EMPNO"],"after":{"EMPNO":22
22,"ENAME":"zyd","JOB":"dba","MGR":null,"HIREDATE":null,"SAL":null,"COMM":null,"DEPTNO":null}}
3{"table":"SCOTT.KAFKA","op_type":"U","op_ts":"2018-12-12 04:34:11.707853","current_ts":"2018-12-12T04:35:22.452000","pos":"00000000040000007136","primary_keys":["EMPNO"],"before":{},"after"
4:{"EMPNO":222,"ENAME":"zhaoyd"}}
5{"table":"SCOTT.KAFKA","op_type":"U","op_ts":"2018-12-12 04:34:29.707853","current_ts":"2018-12-12T04:35:32.567000","pos":"00000000040000007550","primary_keys":["EMPNO"],"before":{"EMPNO":2
622},"after":{"EMPNO":666,"ENAME":"yd"}}
7{"table":"SCOTT.KAFKA","op_type":"D","op_ts":"2018-12-12 04:34:42.707853","current_ts":"2018-12-12T04:35:42.577000","pos":"00000000040000007753","primary_keys":["EMPNO"],"before":{"EMPNO":6
866,"ENAME":"yd","JOB":"dba","MGR":null,"HIREDATE":null,"SAL":null,"COMM":null,"DEPTNO":null}}
9
10

这里总结一下上面消费出现的问题：
源端抽取进程已经添加了
NOCOMPRESSDELETES
NOCOMPRESSUPDATES
GETUPDATEBEFORES
三个参数，此时：
1、如果在源端做非PK Update ,抽取进程应该把主键值以及被修改字段的修改前和修改后的数据都写到trail文件，以供应用进程以json格式写before和after值及其他信息到kafka；
2、如果在源端做PK Update操作，抽取进程会把主键被修改前和修改后的值以及同时修改的其他的字段的修改前和后的值都记录到trail文件，以供应用进程以json格式写before和after值及其他信息到kafka；
3、如果在源端做delete操作，抽取进程会把所有被删除的字段值写到trail文件，以供应用进程以json格式写before信息到kafka。
但是根据看上面的操作发现，现在只有insert的数据是全的，update更新非主键字段before是没有数据的，只有after有数据，更新主键before只有主键的数据，delete正常，是因为虽然加了GETUPDATEBEFORES
参数，trail文件仍然只是写了after的值吗？接下来验证一下：

1源端做非PK Update操作：
2SQL> select empno,ename from kafka;
3
4     EMPNO ENAME
5---------- ----------
6      7369 er
7      7499 ALLEN
8      7521 WARD
9      7566 JONES
10      7654 MARTIN
11      7698 BLAKE
12      7782 CLARK
13      7839 KING
14      7844 TURNER
15      7876 ADAMS
16      7900 JAMES
17      7902 FORD
18      7934 sdf
19      3233 dsdds
20
2114 rows selected.
22SQL> update kafka set ename='test'where empno=7369;
23
241 row updated.
25
26SQL> commit;
27
28Commit complete.
29
30SQL> alter system switch logfile;
31
32System altered.
33
34SQL> select empno,ename from kafka;
35
36     EMPNO ENAME
37---------- ----------
38      7369 test
39      7499 ALLEN
40      7521 WARD
41      7566 JONES
42      7654 MARTIN
43      7698 BLAKE
44      7782 CLARK
45      7839 KING
46      7844 TURNER
47      7876 ADAMS
48      7900 JAMES
49      7902 FORD
50      7934 sdf
51      3233 dsdds
52
5314 rows selected.
54源端修改成功，去挖掘trail文件：
55Logdump 92 >n
56TokenID x47 'G' Record Header Info x01 Length 194 
57TokenID x48 'H' GHDR Info x00 Length 36 
58 450c 0041 001a 0fff 02f2 a32a d082 7880 0000 0000 | E..A.......*..x.....  
59 0005 7c10 0000 0109 0252 0000 0001 0001 | ..|......R......  
60TokenID x44 'D' Data Info x00 Length 26 
61TokenID x54 'T' GGS Tokens Info x00 Length 24 
62TokenID x55 'U' User Tokens Info x00 Length 84 
63TokenID x5a 'Z' Record Trailer Info x01 Length 194 
64___________________________________________________________________ 
65Hdr-Ind : E (x45) Partition : . (x0c)  
66UndoFlag : . (x00) BeforeAfter: A (x41)  
67RecLength : 26 (x001a) IO Time : 2018/12/14 16:38:42.000.000   
68IOType : 15 (x0f) OrigNode : 255 (xff) 
69TransInd : . (x02) FormatType : R (x52) 
70SyskeyLen : 0 (x00) Incomplete : . (x00) 
71AuditRBA : 265 AuditPos : 359440 
72Continued : N (x00) RecCount : 1 (x01) 
73
742018/12/14 16:38:42.000.000 FieldComp Len 26 RBA 3299 
75Name: SCOTT.KAFKA (TDR Index: 1) 
76After Image: Partition 12 GU e   
77 0000 000a 0000 0000 0000 0000 1cc9 0001 0008 0000 | ....................  
78 0004 7465 7374 | ..test  
79Column 0 (x0000), Len 10 (x000a)  
80 0000 0000 0000 0000 1cc9 | ..........  
81Column 1 (x0001), Len 8 (x0008)  
82 0000 0004 7465 7374 | ....test  
83  
84User tokens: 84 bytes 
85TKN-CSN : 1462257 
86TKN-COMMIT-TS : 2018-12-14 16:38:42.000000 
87TKN-OP-TYPE : SQL COMPUPDATE 
88  
89GGS tokens: 
90TokenID x52 'R' ORAROWID Info x00 Length 20 
91 4141 4156 7458 4141 4541 4141 414a 6a41 4141 0001 | AAAVtXAAEAAAAJjAAA..  
92   
93Logdump 93 >n
94TokenID x47 'G' Record Header Info x01 Length 216 
95TokenID x48 'H' GHDR Info x00 Length 36 
96 450c 0042 0018 0fff 02f2 a32a d082 7880 0000 0000 | E..B.......*..x.....  
97 0005 7c10 0000 0109 0052 0000 0001 0001 | ..|......R......  
98TokenID x44 'D' Data Info x00 Length 24 
99TokenID x54 'T' GGS Tokens Info x00 Length 48 
100TokenID x55 'U' User Tokens Info x00 Length 84 
101TokenID x5a 'Z' Record Trailer Info x01 Length 216 
102___________________________________________________________________ 
103Hdr-Ind : E (x45) Partition : . (x0c)  
104UndoFlag : . (x00) BeforeAfter: B (x42)  
105RecLength : 24 (x0018) IO Time : 2018/12/14 16:38:42.000.000   
106IOType : 15 (x0f) OrigNode : 255 (xff) 
107TransInd : . (x00) FormatType : R (x52) 
108SyskeyLen : 0 (x00) Incomplete : . (x00) 
109AuditRBA : 265 AuditPos : 359440 
110Continued : N (x00) RecCount : 1 (x01) 
111
1122018/12/14 16:38:42.000.000 FieldComp Len 24 RBA 3083 
113Name: SCOTT.KAFKA (TDR Index: 1) 
114Before Image: Partition 12 GU b   
115 0000 000a 0000 0000 0000 0000 1cc9 0001 0006 0000 | ....................  
116 0002 6572 | ..er  
117Column 0 (x0000), Len 10 (x000a)  
118 0000 0000 0000 0000 1cc9 | ..........  
119Column 1 (x0001), Len 6 (x0006)  
120 0000 0002 6572 | ....er  
121  
122User tokens: 84 bytes 
123TKN-CSN : 1462257 
124TKN-COMMIT-TS : 2018-12-14 16:38:42.000000 
125TKN-OP-TYPE : SQL COMPUPDATE 
126  
127GGS tokens: 
128TokenID x52 'R' ORAROWID Info x00 Length 20 
129 4141 4156 7458 4141 4541 4141 414a 6a41 4141 0001 | AAAVtXAAEAAAAJjAAA..  
130TokenID x4c 'L' LOGCSN Info x00 Length 7 
131 3134 3632 3235 37 | 1462257  
132TokenID x36 '6' TRANID Info x00 Length 9 
133 322e 3238 2e31 3134 31 | 2.28.1141  
134通过挖掘trail文件发现，抽取进程已经把被update字段的before和after值都写到了trail文件，去kafka 查看消费情况：
135{"table":"SCOTT.KAFKA","op_type":"U","op_ts":"2018-12-12 00:23:10.639439","current_ts":"2018-12-12T00:23:19.143000","pos":"00000000040000003346","primary_keys":["EMPNO"],"before":{},"after"
136:{"EMPNO":7369,"ENAME":"test"}}
137发现还是只有after的值，没有before的值，接下来再看看做PK Update的操作：
138源端操作如下：
139SQL> update kafka set ename='test',empno=3333 where empno=3233;
140
1411 row updated.
142
143SQL> commit;
144
145Commit complete.
146
147SQL> alter system switch logfile;
148
149System altered.
150再去看消费情况：
151{"table":"SCOTT.KAFKA","op_type":"U","op_ts":"2018-12-12 00:29:02.639408","current_ts":"2018-12-12T00:29:11.125000","pos":"00000000040000003759","primary_keys":["EMPNO"],"before":{"EMPNO":3
152233},"after":{"EMPNO":3333,"ENAME":"test"}}
153
154

发现pkupdate也是只有主键列有update前值，为什么普通update前和后的值明明写到trail文件了，为什么应用进程写kafka，看kafka消费时只有after数据，而before为空呢，在11g版本的OGG for bigdata没有这类问题，于是去查看12c的官方文档这个参数的介绍：
https://docs.oracle.com/goldengate/c1221/gg-winux/GWURF/getupdatebefores-ignoreupdatebefores.htm\#GWURF515
这个参数现在也要在应用进程中添加，这样应用进程才会将before值写到kafka，接下来做修改：

1GGSCI (zookeeper) 54> edit params rkafka
2修改内容如下：
3REPLICAT rkafka
4-- Trail file for this example is located in "AdapterExamples/trail" directory
5-- Command to add REPLICAT
6-- add replicat rkafka, exttrail AdapterExamples/trail/tr
7TARGETDB LIBFILE libggjava.so SET property=dirprm/kafka.props
8REPORTCOUNT EVERY 1 MINUTES, RATE
9GROUPTRANSOPS 10000
10GETUPDATEBEFORES
11MAP SCOTT.*, TARGET SCOTT.*;
12GGSCI (zookeeper) 55> stop rkafka
13
14Sending STOP request to REPLICAT RKAFKA ...
15Request processed.
16GGSCI (zookeeper) 56> start rkafka
17
18Sending START request to MANAGER ...
19REPLICAT RKAFKA starting
20
21GGSCI (zookeeper) 57> info all
22
23Program Status Group Lag at Chkpt Time Since Chkpt
24
25MANAGER RUNNING                                           
26REPLICAT RUNNING RKAFKA 00:00:00 00:00:03    
27
28再次在源端做普通update操作：
29SQL> update kafka set ename='zhaoyd' where empno=3333;
30
311 row updated.
32
33SQL> commit;
34
35Commit complete.
36
37SQL> alter system switch logfile;
38
39System altered.
40去kafka查看消费情况：
41{"table":"SCOTT.KAFKA","op_type":"U","op_ts":"2018-12-12 00:37:39.639361","current_ts":"2018-12-12T00:37:47.418000","pos":"00000000040000004181","primary_keys":["EMPNO"],"before":{"EMPNO":3
42333,"ENAME":"test"},"after":{"EMPNO":3333,"ENAME":"zhaoyd"}}
43
44

发现这时before也有了值，正常了。原来在11g的版本做，没有这个问题，12.3需要在应用进程也加入GETUPDATEBEFORES参数。

五、安装Appach Flink

这里只是为了测试，不再重新配置hadoop环境，只简单安装一个单机无hadoop环境版本的Flink用于测试

1、下载上传解压Flink 1.4软件：

下载连接：
https://archive.apache.org/dist/flink/flink-1.4.0/

2、启动和关闭flink

1[root@zookeeper kafka]# cd /kafka/flink/
2[root@zookeeper flink]# ./bin/start-local.sh 
3Warning: this file is deprecated and will be removed in 1.5.
4Starting cluster.
5Starting jobmanager daemon on host zookeeper.
6Starting taskmanager daemon on host zookeeper.
7[root@zookeeper flink]./bin/stop-local.sh 
8Warning: this file is deprecated and will be removed in 1.5.
9Stopping taskmanager daemon (pid: 5641) on host zookeeper.
10Stopping jobmanager daemon (pid: 5323) on host zookeeper.
11
12

3、编写程序
参考1.4版本的官方文档案例写法：
https://ci.apache.org/projects/flink/flink-docs-release-1.4/quickstart/run_example_quickstart.html\#writing-a-flink-program
https://github.com/wangshubing1/flink/blob/master/flink-examples/flink-examples-streaming/src/main/scala/org/apache/flink/streaming/scala/examples/kafka/Kafka010Example.scala

1package com.learn.Flink.kafka
2
3import org.apache.flink.api.common.restartstrategy.RestartStrategies
4import org.apache.flink.api.common.serialization.SimpleStringSchema
5import org.apache.flink.api.java.utils.ParameterTool
6import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
7import org.apache.flink.streaming.connectors.kafka.{FlinkKafkaConsumer010, FlinkKafkaProducer010}
8import org.apache.flink.api.scala._
9
10/**
11  * @Author: king
12  * @Datetime: 2018/10/16
13  * @Desc: TODO
14  *
15  */
16object Kafka010Example {
17  def main(args: Array[String]): Unit = {
18
19    // 解析输入参数
20    val params = ParameterTool.fromArgs(args)
21
22    if (params.getNumberOfParameters < 4) {
23      println("Missing parameters!\n"
24        + "Usage: Kafka --input-topic <topic> --output-topic <topic> "
25        + "--bootstrap.servers <kafka brokers> "
26        + "--zookeeper.connect <zk quorum> --group.id <some id> [--prefix <prefix>]")
27      return
28    }
29
30    val prefix = params.get("prefix", "PREFIX:")
31
32
33    val env = StreamExecutionEnvironment.getExecutionEnvironment
34    env.getConfig.disableSysoutLogging
35    env.getConfig.setRestartStrategy(RestartStrategies.fixedDelayRestart(4, 10000))
36    // 每隔5秒创建一个检查点
37    env.enableCheckpointing(5000)
38    // 在Web界面中提供参数
39    env.getConfig.setGlobalJobParameters(params)
40
41    // 为卡夫卡0.10 x创建一个卡夫卡流源用户
42    val kafkaConsumer = new FlinkKafkaConsumer010(
43      params.getRequired("input-topic"),
44      new SimpleStringSchema,
45      params.getProperties)
46    //消费kafka数据
47    /*val transaction = env
48      .addSource(
49        new FlinkKafkaConsumer010[String](
50          params.getRequired("input-topic"),
51          new SimpleStringSchema,
52          params.getProperties))
53    transaction.print()*/
54
55    //消费kafka数据
56    val messageStream = env
57      .addSource(kafkaConsumer)
58      .map(in => prefix + in)
59    messageStream.print()
60    // 为卡夫卡0.10 X创建一个生产者
61    val kafkaProducer = new FlinkKafkaProducer010(
62      params.getRequired("output-topic"),
63      new SimpleStringSchema,
64      params.getProperties)
65
66    // 将数据写入kafka
67    messageStream.addSink(kafkaProducer)
68
69    env.execute("Kafka 0.10 Example")
70  }
71
72}
73
74

OGG实时同步Oracle数据到Kafka实施文档(供flink流式计算)

OGG实时同步Oracle数据到Kafka实施文档(供flink流式计算)

GoldenGate12C For Bigdata+Kafka：通过OGG将Oracle数据以Json格式同步到Kafka提供给flink流式计算

一、安装Zookeeper集群

1、安装JDK（目的端操作）

2、安装Zookeeper集群 （目的端操作）

二、安装Kafka

三、安装配置OGG12C For bigdata

1、上传并解压安装OGG for bigdata 软件

3、源端增加配置管理、抽取、投递进程

4、表结构定义文件

5、OGG for bigdata 端配置

6、验证数据同步

四、安装过程遇到的部分错误

1、设置topicName的属性问题

2、自动创建topicname失败

3、JDK版本不兼容

五、安装Appach Flink

1、下载上传解压Flink 1.4软件：

2、启动和关闭flink

2、安装Zookeeper集群（目的端操作）