流处理函数中带有ClassCastException的多个OutputTag

Question

说，我想从流中获得两个侧面输出，它的措辞很好，当只有一个侧面输出时，但是当我想要获得多个侧面输出时，Flink抛出了ClassCastException。

val input: DataStream[CanalModel] = see.addSource(consumer).name("FlinkKafkaConsumer")
val output1: OutputTag[CanalModel] = OutputTag[CanalModel]("store_goods")
val output2: OutputTag[CanalModel] = OutputTag[CanalModel]("store")

val drugStream = input
  .process(new ProcessFunction[CanalModel, CanalModel] {
    override def processElement(value: CanalModel, ctx: ProcessFunction[CanalModel, CanalModel]#Context, out: Collector[CanalModel]): Unit = {
      if (value != null) {
        if ("goods".equals(value.table)) {
          out.collect(value)
        } else if ("store_goods".equals(value.table)) {
          ctx.output(output1, value)
        } else if ("stores".equals(value.table)) {
          ctx.output(output2, value)
        }
      }
    }
  })

Flink在下面抛出了异常：

java.lang.ClassCastException: scala.collection.immutable.HashMap$HashTrieMap cannot be cast to cn.uniondrug.analysis.model.StoreGoodsModel. Failed to push OutputTag with id 'store_goods' to operator. This can occur when multiple OutputTags with different types but identical names are being used.

如何解决问题？谢谢。