网站编程好学吗,个人养老金制度将推,网站建设先做后付费,市场营销专业就业方向FlinkSQL_1.12_用DDL实现Kafka到MySQL的数据传输_实现按照条件进行过滤写入MySQL_flink从kafka拉取数据并过滤数据写入mysql_旧城里的阳光的博客-CSDN博客
参考这篇文章#xff0c;写了kafka到mysql的代码例子#xff0c;因为自己改了表结构#xff0c;运行下面代码#x… FlinkSQL_1.12_用DDL实现Kafka到MySQL的数据传输_实现按照条件进行过滤写入MySQL_flink从kafka拉取数据并过滤数据写入mysql_旧城里的阳光的博客-CSDN博客
参考这篇文章写了kafka到mysql的代码例子因为自己改了表结构运行下面代码
package org.test.flink;import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;//TODO 用DDL实现Kafka到MySQL的数据传输
public class FlinkSQL15_SQL_DDL_Kafka_MySQL {public static void main(String[] args) throws Exception {//1.获取执行环境StreamExecutionEnvironment env StreamExecutionEnvironment.getExecutionEnvironment();env.setParallelism(1);StreamTableEnvironment tableEnv StreamTableEnvironment.create(env);//2.使用DDL的方式加载数据--注册SourceTabletableEnv.executeSql(create table source_sensor(account_id BIGINT) with ( connector.type kafka, connector.version universal, connector.topic testtopic, connector.properties.bootstrap.servers 11.0.24.216:9092, connector.properties.group.id bigdata1109, format.type json ));Table table tableEnv.sqlQuery(select * from source_sensor);//3.注册SinkTable:MysqltableEnv.executeSql(CREATE TABLE spend_report (\n account_id BIGINT,\n PRIMARY KEY (account_id) NOT ENFORCED) with ( connector jdbc, url jdbc:mysql://11.0.24.216:4306/test?serverTimezoneAsia/ShanghaiuseUnicodetruecharacterEncodingutf8useSSLfalse,table-name spend_report,username root,password 123456 ));//4.执行查询kafka数据
// Table source_sensor tableEnv.from(source_sensor);
// //5.将数据写入Mysql
// source_sensor.executeInsert(sink_sensor);
//table.executeInsert(sink_sensor);//6.执行任务env.execute();}
}
发现报错如下
Exception in thread main org.apache.flink.table.api.TableException: Sink default_catalog.default_database.sink_sensor does not existsat org.apache.flink.table.planner.delegation.PlannerBase.translateToRel(PlannerBase.scala:247)at org.apache.flink.table.planner.delegation.PlannerBase.$anonfun$translate$1(PlannerBase.scala:159)at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)at scala.collection.Iterator.foreach(Iterator.scala:943)at scala.collection.Iterator.foreach$(Iterator.scala:943)at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)at scala.collection.IterableLike.foreach(IterableLike.scala:74)at scala.collection.IterableLike.foreach$(IterableLike.scala:73)at scala.collection.AbstractIterable.foreach(Iterable.scala:56)at scala.collection.TraversableLike.map(TraversableLike.scala:286)at scala.collection.TraversableLike.map$(TraversableLike.scala:279)at scala.collection.AbstractTraversable.map(Traversable.scala:108)at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:159)at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1329)at org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:676)at org.apache.flink.table.api.internal.TableImpl.executeInsert(TableImpl.java:572)at org.apache.flink.table.api.internal.TableImpl.executeInsert(TableImpl.java:554)at org.test.flink.FlinkSQL15_SQL_DDL_Kafka_MySQL.main(FlinkSQL15_SQL_DDL_Kafka_MySQL.java:50)
点击table.executeInsert看了下源码 /*** Writes the {link Table} to a {link TableSink} that was registered under the specified path,* and then execute the insert operation.** pSee the documentation of {link TableEnvironment#useDatabase(String)} or {link* TableEnvironment#useCatalog(String)} for the rules on the path resolution.** pA batch {link Table} can only be written to a {code* org.apache.flink.table.sinks.BatchTableSink}, a streaming {link Table} requires a {code* org.apache.flink.table.sinks.AppendStreamTableSink}, a {code* org.apache.flink.table.sinks.RetractStreamTableSink}, or an {code* org.apache.flink.table.sinks.UpsertStreamTableSink}.** pExample:** pre{code* Table table tableEnv.fromQuery(select * from MyTable);* TableResult tableResult table.executeInsert(MySink);* tableResult...* }/pre** param tablePath The path of the registered TableSink to which the Table is written.* return The insert operation execution result.*/TableResult executeInsert(String tablePath); 发现executeInsert方法的参数tablePath需要传入表名这里的表名应该和
tableEnv.executeSql(create table source_sensor(account_id BIGINT)
的表名source_sensor一致。
将
table.executeInsert(sink_sensor);
改成
table.executeInsert(source_sensor);
后执行成功。
flink1.2的demo完整代码flink-java-1.12.7: flink1.12.7的java demo包括flink wordcount示例如何连接kafka
