Hi, 你使用的kafka connector的版本是0.11的吗？报错看起来有点像版本不对
Best, Leonard Xu > 在 2020年5月25日，02:44，macia kk <[email protected]> 写道： > > 感谢，我在之前的邮件记录中搜索到了答案。我现在遇到了新的问题,卡主了好久: > > Table API, sink to Kafka > > val result = bsTableEnv.sqlQuery("SELECT * FROM " + "pppppppp") > > bsTableEnv > .connect( > new Kafka() > .version("0.11") // required: valid connector versions are > .topic("aaa") // required: topic name from which the table is read > .property("zookeeper.connect", "xxx") > .property("bootstrap.servers", "yyy") > ) > .withFormat(new Json()) > .withSchema(new Schema() > .field("ts", INT()) > .field("table", STRING()) > .field("database", STRING()) > ) > .createTemporaryTable("zzzzz") > > result.insertInto("mmmmm") > > Error: > > java.lang.NoSuchMethodError: > org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.<init>(Ljava/lang/String;Lorg/apache/flink/streaming/util/serialization/KeyedSerializationSchema;Ljava/util/Properties;Ljava/util/Optional;)V > at > org.apache.flink.streaming.connectors.kafka.Kafka011TableSink.createKafkaProducer(Kafka011TableSink.java:58) > at > org.apache.flink.streaming.connectors.kafka.KafkaTableSinkBase.consumeDataStream(KafkaTableSinkBase.java:95) > at > org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:140) > at > org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:48) > at > org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58) > at > org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlan(StreamExecSink.scala:48) > at > org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:60) > at > org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:59) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at scala.collection.Iterator$class.foreach(Iterator.scala:891) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) > at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > at scala.collection.AbstractTraversable.map(Traversable.scala:104) > at > org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:59) > at > org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:153) > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:682) > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.insertIntoInternal(TableEnvironmentImpl.java:355) > at > org.apache.flink.table.api.internal.TableEnvironmentImpl.insertInto(TableEnvironmentImpl.java:334) > at > org.apache.flink.table.api.internal.TableImpl.insertInto(TableImpl.java:411) > at > com.shopee.data.ordermart.airpay_v3.AirpayV3Flink$.createPipeline(AirpayV3Flink.scala:74) > at > com.shopee.data.ordermart.airpay_v3.AirpayV3Flink$.main(AirpayV3Flink.scala:30) > at > com.shopee.data.ordermart.airpay_v3.AirpayV3Flink.main(AirpayV3Flink.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at > org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:321) > at > org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:205) > at org.apache.flink.client.ClientUtils.executeProgram(ClientUtils.java:138) > at > org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:664) > at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:213) > at > org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:895) > at > org.apache.flink.client.cli.CliFrontend.lambda$main$10(CliFrontend.java:968) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:422) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1982) > at > org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41) > at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:968) > > > 麻烦帮我看下，谢谢 > > Lijie Wang <[email protected]> 于2020年5月25日周一 上午12:34写道： > >> Hi，我不能加载你邮件中的图片。从下面的报错看起来是因为找不到 match 的connector。可以检查一下 DDL 中的 with 属性是否正确。 >> >> >> >> 在 2020-05-25 00:11:16，"macia kk" <[email protected]> 写道： >> >> 有人帮我看下这个问题吗，谢谢 >> >> >> >> >> >> >> org.apache.flink.client.program.ProgramInvocationException: The main >> method caused an error: findAndCreateTableSource failed. >> Caused by: org.apache.flink.table.api.NoMatchingTableFactoryException: >> Could not find a suitable table factory for >> 'org.apache.flink.table.factories.TableSourceFactory' in >> the classpath. >> Reason: Required context properties mismatch. >> >> The matching candidates: >> org.apache.flink.table.sources.CsvAppendTableSourceFactory >> Mismatched properties: >> 'connector.type' expects 'filesystem', but is 'kafka' >> 'format.type' expects 'csv', but is 'json' >> >> The following properties are requested: >> connector.properties.bootstrap.servers=ip-10-128- >> 145-1.idata-server.shopee.io:9092connector.properties.group.id >> =keystats_aripay >> connector.property-version=1 >> connector.startup-mode=latest-offset >> connector.topic=ebisu_wallet_id_db_mirror_v1 >> connector.type=kafka >> format.property-version=1 >> format.type=json >> schema.0.data-type=INT >> schema.0.name=ts >> schema.1.data-type=VARCHAR(2147483647) >> schema.1.name=table >> schema.2.data-type=VARCHAR(2147483647) >> schema.2.name=database >> update-mode=append >> >> The following factories have been considered: >> org.apache.flink.table.sources.CsvBatchTableSourceFactory >> org.apache.flink.table.sources.CsvAppendTableSourceFactory >> org.apache.flink.streaming.connectors.kafka.KafkaTableSourceSinkFactory >> at >> org.apache.flink.table.factories.TableFactoryService.filterByContext(TableFactoryService.java:322) >> at >> org.apache.flink.table.factories.TableFactoryService.filter(TableFactoryService.java:190) >> at >> org.apache.flink.table.factories.TableFactoryService.findSingleInternal(TableFactoryService.java:143) >> at >> org.apache.flink.table.factories.TableFactoryService.find(TableFactoryService.java:96) >> at >> org.apache.flink.table.factories.TableFactoryUtil.findAndCreateTableSource(TableFactoryUtil.java:52) >> ... 39 more >>
