Apache flink Flink ParquetAvroWriters给出了铸造错误

在阅读了来自Kafka的GenericRecord之后，我编写了一个将流写入拼花地板格式的示例代码

 Properties config = new Properties();
        config.setProperty("bootstrap.servers", "localhost:9092");
        config.setProperty("group.id", "1");
        config.setProperty("zookeeper.connect", "localhost:2181");
        String schemaRegistryUrl = "http://127.0.0.1:8081";

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        File file = new File(EventProcessor.class.getClassLoader().getResource("event.avsc").getFile());
        Schema schema = new Schema.Parser().parse(file);

        DataStreamSource<GenericRecord> input = env
                .addSource(
                        new FlinkKafkaConsumer010<GenericRecord>("event_new",
                                new KafkaGenericAvroDeserializationSchema(schemaRegistryUrl),
                                config).setStartFromEarliest());


        Path path = new Path("/tmp");

        final StreamingFileSink sink = StreamingFileSink.forBulkFormat
                (path, ParquetAvroWriters.forGenericRecord(schema)).build();

        input.addSink(sink);

---

我不明白出了什么问题。请帮助我理解并解决此问题。

最可能的原因是您的event.avsc与存储在Kafka中的记录不匹配。它正在寻找一个字符串，在那里它需要一个记录

---

如果您添加来自Kafka的模式和示例记录（例如，使用console consumer打印），那么我可以提供更多帮助。

我已经解决了它。这仅仅是因为错误的模式。

Caused by: org.apache.flink.streaming.runtime.tasks.ExceptionInChainedOperatorException: Could not forward element to next operator

Caused by: java.lang.ClassCastException: org.apache.avro.util.Utf8 cannot be cast to org.apache.avro.generic.IndexedRecord
    at org.apache.avro.generic.GenericData.getField(GenericData.java:697)
    at org.apache.parquet.avro.AvroWriteSupport.writeRecordFields(AvroWriteSupport.java:188)