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 <xbjt...@gmail.com> 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 <pre...@gmail.com> 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 <xbjt...@gmail.com> 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 <pre...@gmail.com> 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 <wangliji...@126.com> 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" <pre...@gmail.com> 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
> >>>>>
> >>>
> >>>
>
>
