Flink 的CDC 自定义实现数据转换
public class MysqlCdc {
public static void main(String[] args) throws Exception {
SourceFunction<JSONObject> sourceFunction = MySQLSource.<JSONObject>builder()
.hostname("xxx.xxx.xx.xx")
// 监控库存数据库下的所有表
.databaseList("xx")
// 可以监听一张表 也可以全库的所有表
// .tableList("c_rr_goalpricerate")
.username("xx")
.password("xx")
.port(33061)
// 将SourceRecord转换为String类型 官方标准定义
// .deserializer(new StringDebeziumDeserializationSchema())
.deserializer(new CustomDebeziumDeserializationSchema())
.build();
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.addSource(sourceFunction).print()
//使用并行度1的接收器保持消息顺序
.setParallelism(1);
env.execute("flink-mysql-cdc");
}
}
package com.quant.flowcalculation.flinkapi.cdc.customdebezium;
import com.alibaba.fastjson.JSONObject;
import com.alibaba.ververica.cdc.debezium.DebeziumDeserializationSchema;
import org.apache.flink.api.common.typeinfo.BasicTypeInfo;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.util.Collector;
import org.apache.kafka.connect.data.Field;
import org.apache.kafka.connect.data.Struct;
import org.apache.kafka.connect.source.SourceRecord;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.List;
/**
* @author czly
* @date: 2021/8/18 10:31
* @description: 自定义的DebeziumDeserializationSchema, mysql-binglog转化为期待的数据类型
*/
public class CustomDebeziumDeserializationSchema implements DebeziumDeserializationSchema<JSONObject> {
private static final Logger LOGGER = LoggerFactory.getLogger(CustomDebeziumDeserializationSchema.class);
private static final long serialVersionUID = 7906905121308228264L;
public CustomDebeziumDeserializationSchema() {
}
/**
* 新增：SourceRecord{sourcePartition={server=mysql_binlog_source}, sourceOffset={file=mysql-bin.000220, pos=16692, row=1, snapshot=true}} ConnectRecord{topic='mysql_binlog_source.test_hqh.mysql_cdc_person', kafkaPartition=null, key=Struct{id=2}, keySchema=Schema{mysql_binlog_source.test_hqh.mysql_cdc_person.Key:STRUCT}, value=Struct{after=Struct{id=2,name=JIM,sex=male},source=Struct{version=1.2.1.Final,connector=mysql,name=mysql_binlog_source,ts_ms=0,snapshot=true,db=test_hqh,table=mysql_cdc_person,server_id=0,file=mysql-bin.000220,pos=16692,row=0},op=c,ts_ms=1603357255749}, valueSchema=Schema{mysql_binlog_source.test_hqh.mysql_cdc_person.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)}
* 更新：SourceRecord{sourcePartition={server=mysql_binlog_source}, sourceOffset={ts_sec=1603357705, file=mysql-bin.000220, pos=22964, row=1, server_id=1, event=2}} ConnectRecord{topic='mysql_binlog_source.test_hqh.mysql_cdc_person', kafkaPartition=null, key=Struct{id=8}, keySchema=Schema{mysql_binlog_source.test_hqh.mysql_cdc_person.Key:STRUCT}, value=Struct{before=Struct{id=8,name=TOM,sex=male},after=Struct{id=8,name=Lucy,sex=female},source=Struct{version=1.2.1.Final,connector=mysql,name=mysql_binlog_source,ts_ms=1603357705000,db=test_hqh,table=mysql_cdc_person,server_id=1,file=mysql-bin.000220,pos=23109,row=0,thread=41},op=u,ts_ms=1603357705084}, valueSchema=Schema{mysql_binlog_source.test_hqh.mysql_cdc_person.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)}
* 删除：SourceRecord{sourcePartition={server=mysql_binlog_source}, sourceOffset={ts_sec=1603357268, file=mysql-bin.000220, pos=18510, row=1, server_id=1, event=2}} ConnectRecord{topic='mysql_binlog_source.test_hqh.mysql_cdc_person', kafkaPartition=null, key=Struct{id=7}, keySchema=Schema{mysql_binlog_source.test_hqh.mysql_cdc_person.Key:STRUCT}, value=Struct{before=Struct{id=7,name=TOM,sex=male},source=Struct{version=1.2.1.Final,connector=mysql,name=mysql_binlog_source,ts_ms=1603357268000,db=test_hqh,table=mysql_cdc_person,server_id=1,file=mysql-bin.000220,pos=18655,row=0,thread=41},op=d,ts_ms=1603357268728}, valueSchema=Schema{mysql_binlog_source.test_hqh.mysql_cdc_person.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)}
*
* @param sourceRecord sourceRecord
* @param collector out
*/
@Override
public void deserialize(SourceRecord sourceRecord, Collector<JSONObject> collector) {
JSONObject resJson = new JSONObject();
try {
Struct valueStruct = (Struct) sourceRecord.value();
Struct afterStruct = valueStruct.getStruct("after");
Struct beforeStruct = valueStruct.getStruct("before");
// 注意：若valueStruct中只有after,则表明插入；若只有before，说明删除；若既有before，也有after，则代表更新
if (afterStruct != null && beforeStruct != null) {
// 修改
System.out.println("Updating >>>>>>>");
LOGGER.info("Updated, ignored ...");
} else if (afterStruct != null) {
// 插入
System.out.println("Inserting >>>>>>>");
List<Field> fields = afterStruct.schema().fields();
String name;
Object value;
for (Field field : fields) {
name = field.name();
value = afterStruct.get(name);
resJson.put(name, value);
}
} else if (beforeStruct != null) {
// 删除
System.out.println("Deleting >>>>>>>");
LOGGER.info("Deleted, ignored ...");
} else {
System.out.println("No this operation ...");
LOGGER.warn("No this operation ...");
}
} catch (Exception e) {
System.out.println("Deserialize throws exception:");
LOGGER.error("Deserialize throws exception:", e);
}
collector.collect(resJson);
}
@Override
public TypeInformation<JSONObject> getProducedType() {
return BasicTypeInfo.of(JSONObject.class);
}
}
Flink 的CDC 自定义实现数据转换
public class MysqlCdc {
publ
阅读背景：
Flink CDC 之实战DebeziumDeserializationSchema 自定义数据转换
来源：互联网
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