我有以下代码用于加载大量“csv.gz”并将它们转储到其他文件夹中，源文件名作为一列。

object DailyMerger extends App {
  def allFiles(path:File):List[File]= {
    val parts=path.listFiles.toList.partition(_.isDirectory)
    parts._2 ::: parts._1.flatMap(allFiles)
  }

  val sqlContext = SparkSession.builder().appName("DailyMerger").master("local").getOrCreate()
  val files = allFiles(new File("/Logs/"))
      .map(_.getAbsolutePath())
      .filter(_.endsWith(".csv.gz"))

  val df = sqlContext
      .read
      .format("com.databricks.spark.csv")
      .option("header", "true")
      .option("inferSchema", "true").load(files:_*)
      .withColumn("SENSOR", input_file_name())
      .write
      .option("header", "true")
      .option("compression", "gzip")
      .csv("/tmp/out")
 }

它对我的测试数据很有用。但是在我的“真实”数据中，我有很多文件名中包含“:”。

当 Hadoop 尝试生成关联的 crc 文件时，会导致以下异常:

java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: .ac:a3:1e:c6:5c:7c.csv.gz.crc
    at org.apache.hadoop.fs.Path.initialize(Path.java:206)
    at org.apache.hadoop.fs.Path.<init>(Path.java:172)
    at org.apache.hadoop.fs.Path.<init>(Path.java:94)
    at org.apache.hadoop.fs.ChecksumFileSystem.getChecksumFile(ChecksumFileSystem.java:90)
    at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:145)
    at org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:346)
    at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:766)
    at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.initialize(LineRecordReader.java:85)
    at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.<init>(HadoopFileLinesReader.scala:46)
    at org.apache.spark.sql.execution.datasources.text.TextFileFormat$$anonfun$buildReader$2.apply(TextFileFormat.scala:105)
    at org.apache.spark.sql.execution.datasources.text.TextFileFormat$$anonfun$buildReader$2.apply(TextFileFormat.scala:104)
    at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:136)
    at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:120)
    at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:124)
    at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:174)
    at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:108)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.URISyntaxException: Relative path in absolute URI: .ac:a3:1e:c6:5c:7c.csv.gz.crc
    at java.net.URI.checkPath(URI.java:1823)
    at java.net.URI.<init>(URI.java:745)
    at org.apache.hadoop.fs.Path.initialize(Path.java:203)

重命名输入文件不是一个选项，我剩下的是什么？

最佳答案

正如@tzach-zohar 所说的不多。尝试解决此问题的历史由来已久，而且这是一个非常重要的问题。

相关的 JIRA 是:

• HADOOP-14217 - Object Storage: support colon in object path
• HADOOP-12455 - fs.Globber breaks on colon in filename; doesn't use Path's handling for colons
• HADOOP-7945 - Document that Path objects do not support ":" in them.
• HADOOP-3257 - Path should handle all characters

由于所有 JIRA 仍处于打开状态，我认为重命名文件或使用 HDFS 以外的其他东西是唯一的选择。

关于scala - 与文件名中的冒号 ':' 作斗争，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/48909921/