非常感谢大佬，😀好人一生平安 看来是 flink-connector-kafka_2.11 留在 build.sbt 里冲突了
我好奇的是，作为新人，我没招文档里找到要用到 `flink-sql-connector-kafka`， 搜了很多才知道是这个问题 Leonard Xu <[email protected]> 于2020年5月25日周一 上午10:44写道： > Hi, > > > > 对了还有个问题，我之前看文档使用 `flink-connector-kafka_2.11`一直都无法运行，后来看别人也遇到这道这个问题，改成 > > `flink-sql-connector-kafka-0.11` > > 才可以运行，这两个有什么区别，如果不一样的话，对于 table&SQL API 最好标明一下用后者 > > flink-connector-kafka_2.11 是dataStream API编程使用的 > flink-sql-connector-kafka-0.11_2.11 是 Table API & SQL > 编程使用的,其中0.11是kafka版本，2.11是scala版本 > 如果是Table API & SQL程序不用加 flink-connector-kafka_2.11 > 的依赖，你的case把dataStream的connector依赖去掉， > 把 sql connector的依赖改为 flink-sql-connector-kafka-0.11_2.11 试下 > > > Best, > Leonard Xu > > > > > > > > > > macia kk <[email protected]> 于2020年5月25日周一 上午10:05写道： > > > >> built.sbt > >> > >> val flinkVersion = "1.10.0" > >> libraryDependencies ++= Seq( > >> "org.apache.flink" %% "flink-streaming-scala" % flinkVersion , > >> "org.apache.flink" %% "flink-scala" % flinkVersion, > >> "org.apache.flink" %% "flink-statebackend-rocksdb" % flinkVersion, > >> > >> "org.apache.flink" % "flink-table-common" % flinkVersion, > >> "org.apache.flink" %% "flink-table-api-scala" % flinkVersion, > >> "org.apache.flink" %% "flink-table-api-scala-bridge" % flinkVersion, > >> "org.apache.flink" %% "flink-table-planner-blink" % flinkVersion % > "provided", > >> > >> "org.apache.flink" %% "flink-connector-kafka" % flinkVersion, > >> "org.apache.flink" %% "flink-sql-connector-kafka-0.11" % > flinkVersion, // <<<<<<<<<<<<<<<<<<<<< Kafka 0.11 > >> "org.apache.flink" % "flink-json" % flinkVersion > >> ) > >> > >> > >> Leonard Xu <[email protected]> 于2020年5月25日周一 上午9:33写道： > >> > >>> 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 > >>>>> > >>> > >>> > >
