Scala 如何在spark Submit中将s3a与Apache spark 2.2(hadoop 2.8)结合使用?
我试图使用使用hadoop 2.8版本构建的spark 2.2.0从spark访问Scala 如何在spark Submit中将s3a与Apache spark 2.2(hadoop 2.8)结合使用?,scala,apache-spark,hadoop,amazon-s3,pyspark-sql,Scala,Apache Spark,Hadoop,Amazon S3,Pyspark Sql,我试图使用使用hadoop 2.8版本构建的spark 2.2.0从spark访问S3数据,我在类路径中使用/jars/hadoop-aws-2.8.3.jar,/jars/aws-java-sdk-S3-1.10.6.jar和/jars/aws-java-sdk-core-1.10.6.jar 我得到以下例外 java.lang.NoClassDefFoundError: org/apache/hadoop/fs/StorageStatistics a
S3
数据,我在类路径中使用/jars/hadoop-aws-2.8.3.jar
,/jars/aws-java-sdk-S3-1.10.6.jar
和/jars/aws-java-sdk-core-1.10.6.jar
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
然后我从spark安装目录/sparkinstallation/jars/hadoop-common-2.8.3.jar
将hadoop公共jar添加到类路径中,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)
java.lang.IllegalAccessError:试图访问org.apache.hadoop.metrics2.lib.MutableCounterLong方法。(Lorg/apache/hadoop/metrics2/MetricsInfo;J)V来自org.apache.hadoop.fs.s3a.S3AInstrumentation类
位于org.apache.hadoop.fs.s3a.s3ainstructure.streamCounter(s3ainstructure.java:194)
位于org.apache.hadoop.fs.s3a.s3ainstructure.streamCounter(s3ainstructure.java:216)
位于org.apache.hadoop.fs.s3a.S3AInstrumentation。(S3AInstrumentation.java:139)
位于org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:174)
位于org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669)
位于org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94)
位于org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703)
位于org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685)
位于org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373)
位于org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
位于org.apache.spark.sql.execution.datasources.DataSource.hasMetadata(DataSource.scala:301)
位于org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:344)
位于org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
位于org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:441)
在sun.reflect.NativeMethodAccessorImpl.invoke0(本机方法)处
位于sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
在sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)中
位于java.lang.reflect.Method.invoke(Method.java:498)
位于py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
位于py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
在py4j.Gateway.invoke处(Gateway.java:280)
位于py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
在py4j.commands.CallCommand.execute(CallCommand.java:79)
在py4j.GatewayConnection.run处(GatewayConnection.java:214)
运行(Thread.java:745)
如果我遗漏了什么,有人能帮忙吗
我参考了链接-,但没有帮助我建议将依赖项添加到spark submit
命令中,如下所示,该命令将下载所需的所有依赖项。如果您只是添加了一个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作业jar文件中,然后使用普通的spark sbumit
我建议将依赖项添加到spark submit
命令中,如下所示,该命令将下载所需的所有依赖项。如果您只是添加了一个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作业jar文件中,然后使用普通的spark sbumit
查看此处关于版本依赖项的疑难解答指南查看此处关于版本依赖项的疑难解答指南谢谢@BinziCao-这很有帮助。我将使用第二个选项捆绑dependenciesThanks@BinziCao——这很有帮助。我将使用捆绑依赖项的第二个选项