Flink 报错 "Could not find a suitable table factory for 'org.apache.flink.table.factories.StreamTableS...

先上代码：

table = tablexx.select('*).tablexx.groupBy('x).select('x, xx.count )
    
tableEnvironment
  // declare the external system to connect to
  .connect(
    new Kafka()
      .version("0.10")
      .topic("test-input")
      .startFromEarliest()
      .property("zookeeper.connect", "localhost:2181")
      .property("bootstrap.servers", "localhost:9092")
  )

  // declare a format for this system
  .withFormat(
    new Json().deriveSchema()
  )

  // declare the schema of the table
  .withSchema(
    new Schema()
      .field("rowtime", Types.SQL_TIMESTAMP)
        .rowtime(new Rowtime()
          .timestampsFromField("timestamp")
          .watermarksPeriodicBounded(60000)
        )
      .field("user", Types.LONG)
      .field("message", Types.STRING)
  )

  // specify the update-mode for streaming tables
  .inUpsertMode()

  // register as source, sink, or both and under a name
  .registerTableSource("outputTable"); 
  table.insertInto("outputTable")

 

直接上报错信息：

The program finished with the following exception:

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:427)
    at org.apache.flink.client.cli.CliFrontend.executeProgram(CliFrontend.java:813)
    at org.apache.flink.client.cli.CliFrontend.runProgram(CliFrontend.java:287)
    at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:213)
    at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1050)
    at org.apache.flink.client.cli.CliFrontend.lambda$main$11(CliFrontend.java:1126)
    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:1836)
    at org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
    at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1126)
Caused by: org.apache.flink.table.api.NoMatchingTableFactoryException: Could not find a suitable table factory for 'org.apache.flink.table.factories.StreamTableSourceFactory' in
the classpath.

Reason: No context matches.

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

    at org.apache.flink.table.factories.TableFactoryService$.filterByContext(TableFactoryService.scala:214)
    at org.apache.flink.table.factories.TableFactoryService$.findInternal(TableFactoryService.scala:130)
    at org.apache.flink.table.factories.TableFactoryService$.find(TableFactoryService.scala:81)
    at org.apache.flink.table.factories.TableFactoryUtil$.findAndCreateTableSource(TableFactoryUtil.scala:49)
    at org.apache.flink.table.descriptors.ConnectTableDescriptor.registerTableSource(ConnectTableDescriptor.scala:46)
    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)
    ... 12 more

 

报错信息是找不到合适的table factory，查询报错类TableFactoryService.scala 源码214行（报错信息中报错位置）

/**
    * Filters for factories with matching context.
    *
    * @return all matching factories
    */
  private def filterByContext[T](
      factoryClass: Class[T],
      properties: Map[String, String],
      foundFactories: Seq[TableFactory],
      classFactories: Seq[TableFactory])
    : Seq[TableFactory] = {

    val matchingFactories = classFactories.filter { factory =>
      val requestedContext = normalizeContext(factory)

      val plainContext = mutable.Map[String, String]()
      plainContext ++= requestedContext
      // we remove the version for now until we have the first backwards compatibility case
      // with the version we can provide mappings in case the format changes
      plainContext.remove(CONNECTOR_PROPERTY_VERSION)
      plainContext.remove(FORMAT_PROPERTY_VERSION)
      plainContext.remove(METADATA_PROPERTY_VERSION)
      plainContext.remove(STATISTICS_PROPERTY_VERSION)

      // check if required context is met
      plainContext.forall(e => properties.contains(e._1) && properties(e._1) == e._2)
    }

    if (matchingFactories.isEmpty) {
      throw new NoMatchingTableFactoryException(
        "No context matches.",
        factoryClass,
        foundFactories,
        properties)
    }

    matchingFactories
  }

主要是对比 requestedContext 中的必需属性，在 properties 中是否有

requestedContext 必需属性如下：

connector.type kafka

update-mode append

connector.version,0.10

 connector.property-version,1

这些属性properties中都有，只是“update-mode”，我这里是 "upsert", 将方法 “inUpsertMode()” 改为 “.inAppendMode()”，执行，这个错就解决了。

(找问题的时候，看到个大哥的，properties 里面没有 connector.type，不过好像用的是1.7的dev版本)

结论是，遇到这个问题，debug进去，看下到底那个属性对应不上，然后针对解决。

--------------------------

你以为这样就解决了吗，不可能的

新的报错如下： "AppendStreamTableSink requires than Table has only insert changes"，意思是 AppendStreamTableSink 需要表只有插入（不能update），

去掉表上面的groupBy()，就不会报错了。。。

table = tablexx.select('*).tablexx.groupBy('x).select('x, xx.count )
改为：

table = tablexx.select('*)
是不会报错，但是，我要group 啊。。。
没办法，只有先转成stream，再输出了
使用 toRetractStream()， 转成stream，结果发现，一直想用的flink的撤回功能就在这里了。
group 字段的 count 值变化的时候，会产生两条数据，一条是旧数据，带着false标示，一条是新数据，带着true标示

转载于:https://www.cnblogs.com/Springmoon-venn/p/10570056.html