flinkcdc抽取oracle数据（oracle cdc详细文档）

摘要

Flink一般常用的集群模式有 flink on yarn 和standalone模式。
yarn模式需要搭建hadoop集群，该模式主要依靠hadoop的yarn资源调度来实现flink的高可用，达到资源的充分利用和合理分配。一般用于生产环境。
standalone模式主要利用flink自带的分布式集群来提交任务，该模式的优点是不借助其他外部组件，缺点是资源不足需要手动处理。
本文主要以 standalone集群模式为例。

觉得有帮助的话，传播给更多的小伙伴

提示：flinkcdc获取oracle date日期字段的值存在时差而且是long型
一种方法：改java代码new Timestamp((Long) 接收的值 - 8 * 60 * 60 * 1000)
另一种方法：flink-conf.yaml添加（未验证）
env.java.opts.taskmanager: -Duser.timezone=GMT+08

1.项目添加flink依赖

pom.xml

    4.0.0

    com.test
    test-cdc
    1.0-SNAPSHOT

    
        1.8
        ${java.version}
        ${java.version}
        1.2.68
        1.2.8
        1.14.3
        2.3.0
        2.12
        42.2.12
    

    
        
            org.postgresql
            postgresql
            ${postgresql.version}
        
        
            com.alibaba
            druid-spring-boot-starter
            ${druid.version}
        
        
            com.google.code.gson
            gson
            2.8.9
        
        
            org.apache.flink
            flink-connector-kafka_${scala.version}
            ${flink.version}
            
                
                    kafka-clients
                    org.apache.kafka
                
            
        
        
            com.ververica
            flink-connector-oracle-cdc
            ${flinkcdc.vsersion}
        
        
            org.apache.flink
            flink-connector-jdbc_${scala.version}
            ${flink.version}
        
        
            org.apache.flink
            flink-table-api-java-bridge_${scala.version}
            ${flink.version}
        

       
        
            org.apache.flink
            flink-streaming-java_${scala.version}
            ${flink.version}
        
        
            org.apache.flink
            flink-clients_${scala.version}
            ${flink.version}
        
        
            org.apache.flink
            flink-cep_${scala.version}
            ${flink.version}
        
        
            org.apache.flink
            flink-java
            ${flink.version}
        
        
            org.apache.flink
            flink-json
            ${flink.version}
        
        
            com.alibaba
            fastjson
            ${fastjson.vsersion}
        
        
            org.projectlombok
            lombok
            1.18.20
            provided
        
        
            org.springframework.boot
            spring-boot-starter-logging
            2.1.5.RELEASE
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
            org.springframework
            spring-context
            5.3.22
            compile
        
        
            com.fasterxml.jackson.core
            jackson-databind
            2.12.7.1
        
    

    
        
            
                org.apache.maven.plugins
                maven-assembly-plugin
                3.0.0
                
                    
                        jar-with-dependencies
                    
                
                
                    
                        make-assembly
                        package
                        
                            single
                        
                    
                
            
        
    

2.oracle开启日志归档

sqlplus / as sysdba

启用日志归档
alter system set db_recovery_file_dest_size = 10G;
alter system set db_recovery_file_dest = '/home/oracle/oracle-data-test' scope=spfile;
shutdown immediate;
startup mount;
alter database archivelog;
alter database open;

检查日志归档是否开启
archive log list;

为捕获的数据库启用补充日志记录,以便数据更改捕获更改的数据库行之前的状态,下面说明了如何在数据库级别进行配置。
ALTER DATABASE ADD SUPPLEMENTAL LOG DATA;

创建表空间
CREATE TABLESPACE logminer_tbs DATAFILE '/home/oracle/logminer_tbs.dbf' SIZE 25M REUSE AUTOEXTEND ON MAXSIZE UNLIMITED;

创建用户flinkcdc绑定表空间LOGMINER_TBS
CREATE USER flinkcdc IDENTIFIED BY flinkcdc DEFAULT TABLESPACE LOGMINER_TBS QUOTA UNLIMITED ON LOGMINER_TBS;

授予flinkcdc用户dba的权限
 grant connect,resource,dba to flinkcdc;

并授予权限
  GRANT CREATE SESSION TO flinkcdc;
  GRANT SELECT ON V_$DATABASE to flinkcdc;
  GRANT FLASHBACK ANY TABLE TO flinkcdc;
  GRANT SELECT ANY TABLE TO flinkcdc;
  GRANT SELECT_CATALOG_ROLE TO flinkcdc;
  GRANT EXECUTE_CATALOG_ROLE TO flinkcdc;
  GRANT SELECT ANY TRANSACTION TO flinkcdc;
  GRANT EXECUTE ON SYS.DBMS_LOGMNR TO flinkcdc;
  GRANT SELECT ON V_$LOGMNR_CONTENTS TO flinkcdc;
  GRANT CREATE TABLE TO flinkcdc;
  GRANT LOCK ANY TABLE TO flinkcdc;
  GRANT ALTER ANY TABLE TO flinkcdc;
  GRANT CREATE SEQUENCE TO flinkcdc;

  GRANT EXECUTE ON DBMS_LOGMNR TO flinkcdc;
  GRANT EXECUTE ON DBMS_LOGMNR_D TO flinkcdc;

  GRANT SELECT ON V_$LOG TO flinkcdc;
  GRANT SELECT ON V_$LOG_HISTORY TO flinkcdc;
  GRANT SELECT ON V_$LOGMNR_LOGS TO flinkcdc;
  GRANT SELECT ON V_$LOGMNR_CONTENTS TO flinkcdc;
  GRANT SELECT ON V_$LOGMNR_PARAMETERS TO flinkcdc;
  GRANT SELECT ON V_$LOGFILE TO flinkcdc;
  GRANT SELECT ON V_$ARCHIVED_LOG TO flinkcdc;
  GRANT SELECT ON V_$ARCHIVE_DEST_STATUS TO flinkcdc;

修改以下表让其支持增量日志

ALTER TABLE test.table1 SUPPLEMENTAL LOG DATA (ALL) COLUMNS;
ALTER TABLE test.table2 ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;
ALTER TABLE test.table3 ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;

3.Flink集群搭建

版本类型	版本号
项目版本	flink1.14.3、scala2.12、flinkoraclecdc2.3.0
flink集群版本	flink1.14.3

hostname	ip	配置
yy1	10.201.1.1	StandaloneSessionClusterEntrypoint、Taskmanager
yy2	10.201.1.2	Taskmanager
yy3	10.201.1.3	Taskmanager

3.1 Flink下载安装并配置
1） 登录linux
2） cd /usr/local/
3） wget https://archive.apache.org/dist/flink/flink-1.14.3/flink-1.14.3-bin-scala_2.12.tgz
4） tar –zxvf flink-1.14.3-bin-scala_2.12.tgz
5） cd flink-1.14.3/conf
6） vi flink-conf.yaml
注意：冒号后面有个空格
jobmanager.rpc.address: yy1

# 这个参数比较重要，这个是总内存
jobmanager.memory.process.size: 10gb

# taskmanager大小
taskmanager.memory.process.size: 3gb

# 打开注释，并修改保存点存储目录
# 配置hdfs目录，一般用于搭建了hadoop集群
#state.savepoint.dir: hdfs://yz1:9000/flink/cdc

#存储目录设为服务器本地
state.checkpoints.dir: file:///bigdata/checkpoints

state.savepoints.dir: file:///bigdata/savepoints

#设置检查点保存的数据 默认是一个，增加下面
#state.checkpoints.num-retained: 3

# 修改slot的个数
taskmanager.numberOfTaskSlots: 3

#如果不想用flink默认目录/temp 可以自己配置如下并打开
# io.tmp.dirs: /data1/flink/tmp
# env.pid.dir: /data1/flink/env
# web.tmpdir: /data1/flink/tmp
#上传的jar包目录，这样不用每次都上传
#web.upload.dir: /data1/flink/jar

7）修改masters和workers 文件
masters内容：
yy1:8081

workers内容:
yy1
yy2
yy3

8）复制到其他节点
scp -rq flink-1.14.3 yy2:/usr/local
scp -rq flink-1.14.3 yy3:/usr/local

9）每个节点上建立flink-1.14.3目录的链接（每个节点操作）
ln -s flink-1.14.3 flink

10）配置flink的环境变量(每个节点操作)
vi /etc/profile
#配置如下

export JAVA_HOME=/usr/local/jdk18
export FLINK_HOME=/usr/local/flink
export JRE_HOME=$JAVA_HOME/jre
export CLASS_PATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JRE_HOME/lib
export PATH=$PATH:$JAVA_HOME/bin:$JRE_HOME/bin:$FLINK_HOME/bin

11）使其修改生效（每个节点操作）
source /etc/profile
12）在master节点上启动flink集群
start-cluster.sh
13）打开flink任务管理界面

http://10.201.1.1:8081

14)在界面提交任务

15）效果图

4. Flink 提交任务的常用命令

4.1 stantalone模式
flink run –m [ip]:[端口] -p[并行数] -c[main方法所在类的全路径] [jar文件的绝对路径]

flink run -m 10.201.1.1:8090 -p 1 -c com.test.TestStudent /bigdata/testCDC-1.0-SNAPSHOT-jar-with-dependencies.jar

stantalone 模式下savepoint,取消任务的同时savepoint

flink cancel -s 282c334dd9dc9ae04c3d6cbe1bfdf8f2

暂停任务的同时savepoint

flink savepoint 282c334dd9dc9ae04c3d6cbe1bfdf8f2

4.2 flink on yarn模式

flink run -t yarn-per-job -c com.test.TestStudent /bigdata/testCDC-1.0-SNAPSHOT-jar-with-dependencies.jar

Flink on yarn 模式下savepoint

flink savepoint 8f1d21525dc3bebf22f9c3a617326142 hdfs:///flink/cdc -yid application_1657250519562_0007

从保存点恢复
$ bin/flink run -s :savepointPath [:runArgs]

flink run  -s hdfs:///flink/cdc/savepoint-a4f769-58ee3095ee02

5.完成

6.问题汇总

1）报错信息：ERROR: Attempting to operate on hdfs namenode as root
ERROR: but there is no HDFS_NAMENODE_USER defined. Aborting operation.
Starting datanodes
ERROR: Attempting to operate on hdfs datanode as root
ERROR: but there is no HDFS_DATANODE_USER defined. Aborting operation.
Starting secondary namenodes [hadoop]
ERROR: Attempting to operate on hdfs secondarynamenode as root
ERROR: but there is no HDFS_SECONDARYNAMENODE_USER defined. Aborting operation.
2018-07-16 05:45:04,628 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform… using builtin-java classes where applicable
Starting resourcemanager
ERROR: Attempting to operate on yarn resourcemanager as root
ERROR: but there is no YARN_RESOURCEMANAGER_USER defined. Aborting operation.
Starting nodemanagers
ERROR: Attempting to operate on yarn nodemanager as root
ERROR: but there is no YARN_NODEMANAGER_USER defined. Aborting operation.

解决：
vi /etc/profile 加入以下信息，然后source /etc/profile
export HDFS_NAMENODE_USER=root
export HDFS_DATANODE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export YARN_RESOURCEMANAGER_USER=root
export YARN_NODEMANAGER_USER=root
export HDFS_JOURNALNODE_USER=root
export HDFS_ZKFC_USER=root
export HADOOP_CLASSPATH=hadoop classpath
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop

2）报错信息：java.lang.IllegalStateException: Trying to access closed classloader.
Please check if you store classloaders directly or indirectly in static fields.
If the stacktrace suggests that the leak occurs in a third party library and cannot be fixed immediately,
you can disable this check with the configuration ‘classloader.check-leaked-classloader’.
解决：
修改flink配置文件：vi flink-conf.yaml
增加：classloader.check-leaked-classloader: false

3）File /tmp/logs/root/logs-tfile/application_1656991740104_0001 does not exist.
File /tmp/logs/root/bucket-logs-tfile/0001/application_1656991740104_0001 does not exist.

Can not find any log file matching the pattern: [ALL] for the application: application_1656991740104_0001
Can not find the logs for the application: application_1656991740104_0001 with the appOwner: root

解决：
yarn-site.xml 增加以下

    yarn.log-aggregation-enable
    true

4）报错信息：DebeziumException: Supplemental logging not properly configured. Use: ALTER DATABASE ADD SUPPLEMENTAL LOG DATA

解决：
ALTER TABLE 表名 ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;
ALTER DATABASE ADD SUPPLEMENTAL LOG DATA;