如何在Spark shell中使用带有Apache spark 2.2的s3

Question

我正在尝试从Spark AWS shell中加载来自Amazon AWS S3存储桶的数据.

我咨询过以下资源:

使用Apache Spark从Amazon S3解析文件

如何从Apache Spark访问s3a://文件？

Hortonworks Spark 1.6和S3

Cloudera的

自定义s3端点

我已经下载并解压缩了Apache Spark 2.2.0.在conf/spark-defaults我有以下(注意我替换access-key和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

我已经下载hadoop-aws-2.8.1.jar并aws-java-sdk-1.11.179.jar从mvnrepository,并将它们放置在jars/目录中.然后我启动Spark shell:

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

在shell中,以下是我尝试从S3存储桶加载数据的方法:

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

以下是导致的错误:

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)

当我尝试按如下方式启动Spark shell时:

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

然后我得到两个错误:一个是间隔器启动时,另一个是我尝试加载数据时.这是第一个:

:: 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

这是第二个:

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)

有人可以建议如何使这个工作？谢谢.

Answer 1

如果您使用的是Apache Spark 2.2.0,那么您应该使用hadoop-aws-2.7.3.jar和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

之后,当您尝试从shell中的S3存储桶加载数据时,您将能够这样做.