如何在spark submit中将s3a与ApacheSpark2.2(Hadoop2.8)结合使用?

w46czmvw  于 2021-06-01  发布在  Hadoop
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我正在尝试访问 S3 数据来自spark使用spark2.2.0构建的hadoop2.8版本,我使用的是 /jars/hadoop-aws-2.8.3.jar , /jars/aws-java-sdk-s3-1.10.6.jar 以及 /jars/aws-java-sdk-core-1.10.6.jarclasspath 我得到以下例外

java.lang.NoClassDefFoundError: org/apache/hadoop/fs/StorageStatistics
            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)
            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.parquet(DataFrameReader.scala:441)
            at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
            at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
            at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
            at java.lang.reflect.Method.invoke(Method.java:498)
            at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
            at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
            at py4j.Gateway.invoke(Gateway.java:280)
            at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
            at py4j.commands.CallCommand.execute(CallCommand.java:79)
            at py4j.GatewayConnection.run(GatewayConnection.java:214)
            at java.lang.Thread.run(Thread.java:745)
        Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.fs.StorageStatistics
            at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
            at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
            at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
            ... 27 more

然后我将hadoop公共jar添加到 classpath 从spark安装目录 /sparkinstallation/jars/hadoop-common-2.8.3.jar ,现在我得到以下错误:

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:194)
            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.parquet(DataFrameReader.scala:441)
            at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
            at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
            at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
            at java.lang.reflect.Method.invoke(Method.java:498)
            at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
            at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
            at py4j.Gateway.invoke(Gateway.java:280)
            at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
            at py4j.commands.CallCommand.execute(CallCommand.java:79)
            at py4j.GatewayConnection.run(GatewayConnection.java:214)
            at java.lang.Thread.run(Thread.java:745)

如果我遗漏了什么,有人能帮忙吗?
我已经参考了链接-如何在spark shell中使用s3和ApacheSpark2.2,但是没有帮助

8ljdwjyq

8ljdwjyq1#

我建议将依赖项添加到 spark-submit 命令,它将下载所需的所有依赖项。如果您只是添加一个jar,您可能仍然缺少一些其他依赖项:

spark-shell --packages "org.apache.hadoop:hadoop-aws:2.7.3"
 spark-submit --packages "org.apache.hadoop:hadoop-aws:2.7.3"

另一种方法是将依赖项捆绑到jobjar文件中,然后使用normal spark-sbumit

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