0

我用的是flink的table api，我从kafka接收数据，然后注册成表，然后用sql语句处理，最后将结果转回流，写入目录，代码如下：

def main(args: Array[String]): Unit = { 

    val sEnv = StreamExecutionEnvironment.getExecutionEnvironment 
    sEnv.setStreamTimeCharacteristic(TimeCharacteristic.EventTime) 

    val tEnv = TableEnvironment.getTableEnvironment(sEnv) 

   tEnv.connect( 
      new Kafka() 
        .version("0.11") 
        .topic("user") 
        .startFromEarliest() 
        .property("zookeeper.connect", "") 
        .property("bootstrap.servers", "") 
    ) 
      .withFormat( 
        new Json() 
          .failOnMissingField(false) 
          .deriveSchema()   //使用表的 schema 
      ) 
      .withSchema( 
        new Schema() 
          .field("username_skey", Types.STRING) 
      ) 
      .inAppendMode() 
      .registerTableSource("user") 
     val userTest: Table = tEnv.sqlQuery( 
      """ 
       select ** form ** join **"".stripMargin) 
    val endStream = tEnv.toRetractStream[Row](userTest) 
    endStream.writeAsText("/tmp/sqlres",WriteMode.OVERWRITE) 
    sEnv.execute("Test_New_Sign_Student") 
 }

本地测试成功，但是在集群中提交如下命令时，出现如下错误：

==================================================== =====

org.apache.flink.client.program.ProgramInvocationException: The main method 
caused an error. 
        at 
org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:546) 
        at 
org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:421) 
        at 
org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:426) 
        at 
org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:804) 
        at 
org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:280) 
        at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:215) 
        at 
org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1044) 
        at 
org.apache.flink.client.cli.CliFrontend.lambda$main$11(CliFrontend.java:1120) 
        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:1692) 
        at 
org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41) 
        at 
org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1120) 
Caused by: org.apache.flink.table.api.NoMatchingTableFactoryException: Could 
not find a suitable table factory for 
'org.apache.flink.table.factories.DeserializationSchemaFactory' in 
the classpath. 

Reason: No factory implements 
'org.apache.flink.table.factories.DeserializationSchemaFactory'. 

The following properties are requested: 
connector.properties.0.key=zookeeper.connect 
.... 
schema.9.name=roles 
schema.9.type=VARCHAR 
update-mode=append 

The following factories have been considered: 
org.apache.flink.table.sources.CsvBatchTableSourceFactory 
org.apache.flink.table.sources.CsvAppendTableSourceFactory 
org.apache.flink.table.sinks.CsvBatchTableSinkFactory 
org.apache.flink.table.sinks.CsvAppendTableSinkFactory 
org.apache.flink.streaming.connectors.kafka.Kafka011TableSourceSinkFactory 


        at 
org.apache.flink.table.factories.TableFactoryService$.filterByFactoryClass(TableFactoryService.scala:176) 
        at 
org.apache.flink.table.factories.TableFactoryService$.findInternal(TableFactoryService.scala:125) 
        at 
org.apache.flink.table.factories.TableFactoryService$.find(TableFactoryService.scala:100) 
        at 
org.apache.flink.table.factories.TableFactoryService.find(TableFactoryService.scala) 
        at 
org.apache.flink.streaming.connectors.kafka.KafkaTableSourceSinkFactoryBase.getDeserializationSchema(KafkaTableSourceSinkFactoryBase.java:259) 
        at 
org.apache.flink.streaming.connectors.kafka.KafkaTableSourceSinkFactoryBase.createStreamTableSource(KafkaTableSourceSinkFactoryBase.java:144) 
        at 
org.apache.flink.table.factories.TableFactoryUtil$.findAndCreateTableSource(TableFactoryUtil.scala:50) 
        at 
org.apache.flink.table.descriptors.ConnectTableDescriptor.registerTableSource(ConnectTableDescriptor.scala:44) 
        at 
org.clay.test.Test_New_Sign_Student$.main(Test_New_Sign_Student.scala:64) 
        at 
org.clay.test.Test_New_Sign_Student.main(Test_New_Sign_Student.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:529)

====================================

有人能告诉我这是什么原因造成的吗？我对此感到非常困惑…………

4

3 回答 3

8

如果您使用的是 maven-shade-plugin，请确保放置了 SPI 变压器。

Flink 使用 java Service Provider 来发现 Source/Sink 连接器。如果没有这个转换器，你将 100% 遇到“org.apache.flink.table.api.NoMatchingTableFactoryException: 找不到合适的表工厂”，这发生在我身上。

https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/table/connect.html#update-mode flink官方指出了这一点，在这个页面搜索“SPI”

<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
</transformers>
于 2019-11-05T10:26:36.123 回答
1

您必须将您正在使用的连接器 (Kafka) 和格式 (JSON) 的 JAR 依赖项添加到程序的类路径中，即构建一个包含它们的胖 JAR 或将它们提供给 Flink 集群的类路径将它们复制到./lib文件夹中。

检查Flink 文档以获取下载相应依赖项的链接。

于 2018-09-25T17:10:30.413 回答
0

我遇到了同样的问题，只需在运行应用程序时添加参数 --connector.type kafka 即可解决此问题。请参阅在此处输入链接描述

于 2019-01-02T07:41:38.170 回答