hadoop - 使用EMR中的Spark无法从S3读取Avro

Question

在aws-emr上执行我的Spark作业时，尝试从s3存储桶读取avro文件时出现此错误:
它发生在版本中:

emr-5.5.0

emr-5.9.0

这是代码:

val files  = 0 until numOfDaysToFetch map { i =>
  s"s3n://bravos/clicks/${fromDate.minusDays(i)}/*"
}
spark.read.format("com.databricks.spark.avro").load(files: _*)

异常(exception):

java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: 1037330823653531755-2017-10-16T03:06:00.avro
    at org.apache.hadoop.fs.Path.initialize(Path.java:205)
    at org.apache.hadoop.fs.Path.<init>(Path.java:171)
    at org.apache.hadoop.fs.Path.<init>(Path.java:93)
    at org.apache.hadoop.fs.Globber.glob(Globber.java:241)
    at org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1732)
    at org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1713)
    at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.globStatus(EmrFileSystem.java:362)
    at org.apache.spark.deploy.SparkHadoopUtil.globPath(SparkHadoopUtil.scala:237)
    at org.apache.spark.deploy.SparkHadoopUtil.globPathIfNecessary(SparkHadoopUtil.scala:243)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:374)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:370)
    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:370)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)

`

Answer 1

Path不支持冒号。它将1037330823653531755-2017-10-16T03解释为:作为URI模式，然后对任何填入的“/”感到不满意。 ”

修复:不要在文件名中使用“:”。