java.io.IOException: No FileSystem for scheme: s3n

GitHub | RAbraham | 1 year ago
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    GitHub comment 185#192545762

    GitHub | 1 year ago | nadersalehi
    java.io.IOException: No FileSystem for scheme: s3n
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    Importing snapshots from Amazon S3 to HBase - Hortonworks

    hortonworks.com | 2 years ago
    org.apache.hadoop.mapred.TaskAttemptListenerImpl: Diagnostics report from attempt_1429544880663_0004_m_000000_0: Error: java.io.IOException: Could not get the output FileSystem with root=s3n://<ACCESS_KEY_ID>:<SECRET_ACCESS_KEY>@<BUCKET_NAME>/2HBASE-SNAP_X
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    org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: Diagnostics report from attempt_1429544880663_0004_m_000000_0: Error: java.io.IOException: Could not get the output FileSystem with root=http://s3n<ACCESS_KEY_ID>:<SECRET_ACCESS_KEY>@<BUCKET_NAME>/2HBASE-SNAP_X
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    Pyspark - read zip file from s3 to an RDD

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    java.io.IOException: No FileSystem for scheme: s3n

  1. r1chjames 1 times, last 10 months ago
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Root Cause Analysis

  1. java.io.IOException

    No FileSystem for scheme: s3n

    at org.apache.hadoop.fs.FileSystem.getFileSystemClass()
  2. Hadoop
    FileSystem.get
    1. org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2584)
    2. org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2591)
    3. org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
    4. org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
    5. org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
    6. org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
    6 frames
  3. com.databricks.spark
    DefaultSource.createRelation
    1. com.databricks.spark.redshift.Utils$.assertThatFileSystemIsNotS3BlockFileSystem(Utils.scala:124)
    2. com.databricks.spark.redshift.RedshiftRelation.<init>(RedshiftRelation.scala:48)
    3. com.databricks.spark.redshift.DefaultSource.createRelation(DefaultSource.scala:49)
    3 frames
  4. org.apache.spark
    ResolvedDataSource$.apply
    1. org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:125)
    1 frame
  5. Spark Project SQL
    DataFrameReader.load
    1. org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:114)
    1 frame