我试图将flink数据存储到冰山表中,如下所示:
val kafkaStream = new KafkaDataSource(parameter, new PacketSchema).getStream(env)
val dataStream = kafkaStream.flatMap(new NullPacketFilter).map(FilteredPacket.from(_).toRow).javaStream
FlinkSink.forRow(dataStream, FilteredPacket.schema)
.tableLoader(tableLoader)
.build然后我得到了错误:
2021-02-18 18:12:12,086 WARN org.apache.hadoop.util.NativeCodeLoader [] - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
2021-02-18 18:12:12,424 INFO org.apache.iceberg.BaseMetastoreCatalog [] - Table loaded by catalog: iceberg.flink_test.filtered_packets
2021-02-18 18:12:12,477 WARN org.apache.flink.runtime.taskmanager.Task [] - Source: tianyi -> Flat Map -> Map -> Map -> IcebergStreamWriter (1/1) (9612408d42df7e69b829367434bbc43d) switched from RUNNING to FAILED.
java.lang.NoSuchMethodError: org.apache.parquet.schema.Types$PrimitiveBuilder.as(Lorg/apache/parquet/schema/LogicalTypeAnnotation;)Lorg/apache/parquet/schema/Types$Builder;
at org.apache.iceberg.parquet.TypeToMessageType.primitive(TypeToMessageType.java:145) ~[tianyi112-1.0-SNAPSHOT.jar:?]
at org.apache.iceberg.parquet.TypeToMessageType.field(TypeToMessageType.java:88) ~[tianyi112-1.0-SNAPSHOT.jar:?]
at org.apache.iceberg.parquet.TypeToMessageType.convert(TypeToMessageType.java:65) ~[tianyi112-1.0-SNAPSHOT.jar:?]
at org.apache.iceberg.parquet.ParquetSchemaUtil.convert(ParquetSchemaUtil.java:43) ~[tianyi112-1.0-SNAPSHOT.jar:?]
...我检查了jar的内容,它包括所需的类型$PrimitiveBuilder类:
2651 Fri Feb 19 08:32:10 CST 2021 org/apache/parquet/schema/Types$PrimitiveBuilder.class
3101 Fri Feb 19 08:32:12 CST 2021 org/apache/flink/hive/shaded/parquet/schema/Types$PrimitiveBuilder.clas当我检查源代码时,在idea中发现了错误:
库源与TypeToMessageType类的字节码不匹配
但其他课都没问题。
我试图删除maven存储库和重新导入项目中的iceberg-parquet.jar和parquet-column.jar,并试图禁用Idea的Lombok插件,但没有效果。
版本: CDH 6.3.2 Flink 1.11.2 Iceberg 0.11.0
发布于 2021-02-21 12:49:16
我解决了这个问题。其原因是jar冲突,具体来说,是parquet-hadoop.jar(hive-exec 2.3.4)和iceberg-parquet.jar(0.11.0)。
https://stackoverflow.com/questions/66270584
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