flinkcdc实时监测oracle数据库某张表的变化

Oracle参考官网的配置

Flink CDC

oracle配置如下

连接oracle首先需要打开这两个服务

提前创建对应目录然后cmd命令行运行以下命令

-- 以 DBA 身份连接到数据库
sqlplus sys/oracleadmin AS SYSDBA

-- 启用日志归档
alter system set db_recovery_file_dest_size = 10G;
alter system set db_recovery_file_dest = 'F:\ORACLE\db_recovery_file_dest' 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 'F:\ORACLE\namespace\logminer_tbs.dbf' SIZE 25M REUSE AUTOEXTEND ON MAXSIZE UNLIMITED;

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

-- 授予family用户dba的权限
 grant connect,resource,dba to family;

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

  GRANT EXECUTE ON DBMS_LOGMNR TO family;
  GRANT EXECUTE ON DBMS_LOGMNR_D TO family;

  GRANT SELECT ON V_$LOG TO family;
  GRANT SELECT ON V_$LOG_HISTORY TO family;
  GRANT SELECT ON V_$LOGMNR_LOGS TO family;
  GRANT SELECT ON V_$LOGMNR_CONTENTS TO family;
  GRANT SELECT ON V_$LOGMNR_PARAMETERS TO family;
  GRANT SELECT ON V_$LOGFILE TO family;
  GRANT SELECT ON V_$ARCHIVED_LOG TO family;
  GRANT SELECT ON V_$ARCHIVE_DEST_STATUS TO family;
  
-- 修改user表让其支持增量日志，这句先在Oracle里创建user表再执行
ALTER TABLE FAMILY."user" ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;

其中有条命令不行的，参考另一篇博客https://blog.youkuaiyun.com/eyeofeagle/article/details/119180015

创建表user

flink程序

pom.xml

    <properties>
        <java.version>1.8</java.version>
        <maven.compiler.source>${java.version}</maven.compiler.source>
        <maven.compiler.target>${java.version}</maven.compiler.target>
        <flink.version>1.13.0</flink.version>
        <scala.version>2.12</scala.version>
    </properties>
    <dependencies>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner-blink_${scala.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>com.ververica</groupId>
            <artifactId>flink-connector-oracle-cdc</artifactId>
            <version>2.1.0</version>
        </dependency>
        <dependency>
            <groupId>com.oracle.database.jdbc</groupId>
            <artifactId>ojdbc10</artifactId>
            <version>19.10.0.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_${scala.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-clients_${scala.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-cep_${scala.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>

            <dependency>
                <groupId>org.apache.flink</groupId>
                <artifactId>flink-java</artifactId>
                <version>${flink.version}</version>
            </dependency>
            <dependency>
                <groupId>org.apache.flink</groupId>
                <artifactId>flink-json</artifactId>
                <version>${flink.version}</version>
            </dependency>
            <dependency>
                <groupId>com.alibaba</groupId>
                <artifactId>fastjson</artifactId>
                <version>1.2.68</version>
            </dependency>

            <dependency>
                <groupId>org.projectlombok</groupId>
                <artifactId>lombok</artifactId>
                <version>1.18.20</version>
            </dependency>
            <!--Flink 默认使用的是 slf4j 记录日志，相当于一个日志的接口,我们这里使用 log4j 作为
           具体的日志实现-->
            <dependency>
                <groupId>org.slf4j</groupId>
                <artifactId>slf4j-api</artifactId>
                <version>1.7.25</version>
            </dependency>
            <dependency>
                <groupId>org.slf4j</groupId>
                <artifactId>slf4j-log4j12</artifactId>
                <version>1.7.25</version>
            </dependency>
            <dependency>
                <groupId>org.apache.logging.log4j</groupId>
                <artifactId>log4j-to-slf4j</artifactId>
                <version>2.14.0</version>
            </dependency>
    </dependencies>
        <build>
            <plugins>
                <plugin>
                    <groupId>org.apache.maven.plugins</groupId>
                    <artifactId>maven-assembly-plugin</artifactId>
                    <version>3.0.0</version>
                    <configuration>
                        <descriptorRefs>
                            <descriptorRef>jar-with-dependencies</descriptorRef>
                        </descriptorRefs>
                    </configuration>
                    <executions>
                        <execution>
                            <id>make-assembly</id>
                            <phase>package</phase>
                            <goals>
                                <goal>single</goal>

                            </goals>
                        </execution>
                    </executions>
                </plugin>
            </plugins>
        </build>

OracleSourceExample.java

import com.ververica.cdc.connectors.oracle.table.StartupOptions;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import com.ververica.cdc.debezium.JsonDebeziumDeserializationSchema;
import com.ververica.cdc.connectors.oracle.OracleSource;

public class OracleSourceExample {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        SourceFunction<String> sourceFunction = OracleSource.<String>builder()
                .hostname("localhost")
                .port(1521)
                .database("ORCL") // 可以百度看看自己处于哪个数据库中
                .schemaList("family") // monitor inventory schema//表头
                //.tableList("inventory.products") // monitor products table
                .username("family")
                .password("chickenkang")
                .deserializer(new JsonDebeziumDeserializationSchema()) // converts SourceRecord to JSON String
                .startupOptions(StartupOptions.initial())
                .build();

        DataStreamSource<String> stringDataStreamSource = env.addSource(sourceFunction);
        stringDataStreamSource.print(); // use parallelism 1 for sink to keep message ordering

        env.execute("JOB");
    }
}

对表进行增加删除修改的效果

详细学习可看

https://debezium.io/documentation/reference/1.4/connectors/oracle.html#oracle-create-users-logminer