文档中说：hudi使用spark-2.x和spark 3.x版本(https://hudi.apache.org/docs/quick-start-guide.html)但是我还没有能够将hudi-spark-bundle琰u2.11版本0.7.0与spark 2.3.0和scala 2.11.12一起使用。是否有任何特定的Spark阿芙罗包一个必须使用？
作业失败，出现以下错误：java.lang.nosuchmethoderror:org.apache.spark.sql.types.decimal$.minbytesforprecision（）[i任何输入都非常有用。
在我工作的集群中，我们有spark 2.3.0，没有立即升级的计划。想看看有没有办法让hudi0.7.0和spark2.3.0配合使用？
注意：我可以使用spark2.3.0和hudi-spark-bundle-0.5.0-incubating.jar
在spark shell中，我得到以下错误：

scala> transformedDF.write.format("org.apache.hudi").
         |         options(getQuickstartWriteConfigs).
         |         option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, "col1").
         |         //option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "col2").
         |         option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "col3,col4,col5").
         |         option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
         |         option(DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY, "org.apache.hudi.ComplexKeyGenerator").
         |         option("hoodie.upsert.shuffle.parallelism","20").
         |         option("hoodie.insert.shuffle.parallelism","20").
         |         option(HoodieCompactionConfig.PARQUET_SMALL_FILE_LIMIT_BYTES, 128 * 1024 * 1024).
         |         option(HoodieStorageConfig.PARQUET_FILE_MAX_BYTES, 128 * 1024 * 1024).
         |         option(HoodieWriteConfig.TABLE_NAME, "targetTableHudi").
         |         mode(SaveMode.Append).
         |         save(targetPath)
    21/02/22 07:14:03 WARN Utils: Truncated the string representation of a plan since it was too large. This behavior can be adjusted by setting 'spark.debug.maxToStringFields' in SparkEnv.conf.
    java.lang.NoSuchMethodError: org.apache.spark.sql.types.Decimal$.minBytesForPrecision()[I
      at org.apache.hudi.spark.org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:156)
      at org.apache.hudi.spark.org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:176)
      at org.apache.hudi.spark.org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174)
      at scala.collection.Iterator$class.foreach(Iterator.scala:893)
      at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
      at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
      at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99)
      at org.apache.hudi.spark.org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:174)
      at org.apache.hudi.AvroConversionUtils$.convertStructTypeToAvroSchema(AvroConversionUtils.scala:52)
      at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:139)
      at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:134)
      at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
      at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
      at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
      at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
      at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
      at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
      at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
      at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
      at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
      at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
      at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
      at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
      at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:654)
      at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:654)
      at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
      at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:654)
      at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:273)
      at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:267)
      at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:225)
      ... 62 elided