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当我看到它的工作原理特定文件：星火AVRO S3读不工作的分区数据
val filePath= "s3n://bucket_name/f1/f2/avro/dt=2016-10-19/hr=19/000000"
val df = spark.read.avro(filePath)
但是，如果我指向一个文件夹来读取日期分区数据失败：
VAL文件路径= “S3N：// BUCKET_NAME/F1/F2 /架Avro/DT = 2016年10月19日/”
我得到这个错误：
Exception in thread "main" org.apache.hadoop.fs.s3.S3Exception: org.jets3t.service.S3ServiceException: S3 HEAD request failed for '/f1%2Ff2%2Favro%2Fdt%3D2016-10-19' - ResponseCode=403, ResponseMessage=Forbidden
at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.handleServiceException(Jets3tNativeFileSystemStore.java:245)
at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:119)
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.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:186)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
at org.apache.hadoop.fs.s3native.$Proxy7.retrieveMetadata(Unknown Source)
at org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:414)
at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:1397)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:374)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:364)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.immutable.List.flatMap(List.scala:344)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:364)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:149)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:132)
at com.databricks.spark.avro.package$AvroDataFrameReader$$anonfun$avro$2.apply(package.scala:34)
at com.databricks.spark.avro.package$AvroDataFrameReader$$anonfun$avro$2.apply(package.scala:34)
at BasicS3Avro$.main(BasicS3Avro.scala:55)
at BasicS3Avro.main(BasicS3Avro.scala)
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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
难道我错过什么东西？
它看起来像是一个验证错误，服务以403响应。也许你应该检查与桶相关的策略。 – devsprint
但是，当我访问特定文件时，相同的凭据起作用。另外，我可以使用aws命令行列出文件夹的内容。 – JNish
好吧，让我试着在本地重现它... – devsprint