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scala - How to use s3 with Apache spark 2.2 in the Spark shell

I'm trying to load data from an Amazon AWS S3 bucket, while in the Spark shell.

I have consulted the following resources:

Parsing files from Amazon S3 with Apache Spark

How to access s3a:// files from Apache Spark?

Hortonworks Spark 1.6 and S3

Cloudera

Custom s3 endpoints

I have downloaded and unzipped Apache Spark 2.2.0. In conf/spark-defaults I have the following (note I replaced access-key and secret-key):

spark.hadoop.fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
spark.hadoop.fs.s3a.access.key=access-key 
spark.hadoop.fs.s3a.secret.key=secret-key

I have downloaded hadoop-aws-2.8.1.jar and aws-java-sdk-1.11.179.jar from mvnrepository, and placed them in the jars/ directory. I then start the Spark shell:

bin/spark-shell --jars jars/hadoop-aws-2.8.1.jar,jars/aws-java-sdk-1.11.179.jar

In the shell, here is how I try to load data from the S3 bucket:

val p = spark.read.textFile("s3a://sparkcookbook/person")

And here is the error that results:

java.lang.NoClassDefFoundError: org/apache/hadoop/fs/GlobalStorageStatistics$StorageStatisticsProvider
  at java.lang.Class.forName0(Native Method)
  at java.lang.Class.forName(Class.java:348)
  at org.apache.hadoop.conf.Configuration.getClassByNameOrNull(Configuration.java:2134)
  at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2099)
  at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2193)
  at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2654)
  at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2667)
  at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94)
  at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703)
  at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685)
  at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373)
  at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)

When I instead try to start the Spark shell as follows:

bin/spark-shell --packages org.apache.hadoop:hadoop-aws:2.8.1

Then I get two errors: one when the interperter starts, and another when I try to load the data. Here is the first:

:: problems summary ::
:::: ERRORS
    unknown resolver null

    unknown resolver null

    unknown resolver null

    unknown resolver null

    unknown resolver null

    unknown resolver null


:: USE VERBOSE OR DEBUG MESSAGE LEVEL FOR MORE DETAILS

And here is the second:

val p = spark.read.textFile("s3a://sparkcookbook/person")
java.lang.IllegalAccessError: tried to access method org.apache.hadoop.metrics2.lib.MutableCounterLong.<init>(Lorg/apache/hadoop/metrics2/MetricsInfo;J)V from class org.apache.hadoop.fs.s3a.S3AInstrumentation
  at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:195)
  at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:216)
  at org.apache.hadoop.fs.s3a.S3AInstrumentation.<init>(S3AInstrumentation.java:139)
  at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:174)
  at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669)
  at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94)
  at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703)
  at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685)
  at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373)
  at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
  at org.apache.spark.sql.execution.datasources.DataSource.hasMetadata(DataSource.scala:301)
  at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:344)
  at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
  at org.apache.spark.sql.DataFrameReader.text(DataFrameReader.scala:506)
  at org.apache.spark.sql.DataFrameReader.textFile(DataFrameReader.scala:542)
  at org.apache.spark.sql.DataFrameReader.textFile(DataFrameReader.scala:515)

Could someone suggest how to get this working? Thanks.

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If you are using Apache Spark 2.2.0, then you should use hadoop-aws-2.7.3.jar and aws-java-sdk-1.7.4.jar.

$ spark-shell --jars jars/hadoop-aws-2.7.3.jar,jars/aws-java-sdk-1.7.4.jar

After that, when you will try to load data from S3 bucket in the shell, you will be able to do so.


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