Pyspark s3 错误：java.lang.NoClassDefFoundError: com/amazonaws/AmazonServiceException

Question

我想我遇到了 jar 不兼容问题。我正在使用以下 jar 文件来构建 Spark 集群：

1. spark-2.4.7-bin-hadoop2.7.tgz
2. aws-java-sdk-1.11.885.jar
3. hadoop:hadoop-aws-2.7.4.jar

from pyspark.sql import SparkSession, SQLContext
from pyspark.sql.types import *
from pyspark.sql.functions import *
import sys

spark = (SparkSession.builder
         .appName("AuthorsAges")
         .appName('SparkCassandraApp')
         .getOrCreate())


spark._jsc.hadoopConfiguration().set("fs.s3a.access.key", "access-key")
spark._jsc.hadoopConfiguration().set("fs.s3a.secret.key", "secret-key")
spark._jsc.hadoopConfiguration().set("fs.s3a.impl","org.apache.hadoop.fs.s3a.S3AFileSystem")
spark._jsc.hadoopConfiguration().set("com.amazonaws.services.s3.enableV4", "true")
spark._jsc.hadoopConfiguration().set("fs.s3a.aws.credentials.provider","org.apache.hadoop.fs.s3a.BasicAWSCredentialsProvider")
spark._jsc.hadoopConfiguration().set("fs.s3a.endpoint", "")


input_file='s3a://spark-test-data/Fire_Department_Calls_for_Service.csv'

file_schema = StructType([StructField("Call_Number",StringType(),True),
        StructField("Unit_ID",StringType(),True),
        StructField("Incident_Number",StringType(),True),
...
...
# Read file into a Spark DataFrame
input_df = (spark.read.format("csv") \
            .option("header", "true") \
            .schema(file_schema) \
            .load(input_file))

代码在开始执行 spark.read.format 时失败。似乎找不到类。 java.lang.NoClassDefFoundError: com/amazonaws/AmazonServiceException。

我的 spark-defaults.conf 配置如下：

spark.jars.packages                com.amazonaws:aws-java-sdk:1.11.885,org.apache.hadoop:hadoop-aws:2.7.4

如果有人可以帮助我，我将不胜感激。有什么想法吗？

Traceback (most recent call last):
  File "<stdin>", line 5, in <module>
  File "/usr/local/spark/spark-3.0.1-bin-hadoop2.7/python/pyspark/sql/readwriter.py", line 178, in load
    return self._df(self._jreader.load(path))
  File "/usr/local/lib/python3.6/site-packages/py4j/java_gateway.py", line 1305, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "/usr/local/spark/spark-3.0.1-bin-hadoop2.7/python/pyspark/sql/utils.py", line 128, in deco
    return f(*a, **kw)
  File "/usr/local/lib/python3.6/site-packages/py4j/protocol.py", line 328, in get_return_value
    format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o51.load.
: java.lang.NoClassDefFoundError: com/amazonaws/AmazonServiceException
    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:2195)
    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$Cache.get(FileSystem.java:2685)
    at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373)
    at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
    at org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:46)
    at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:366)
    at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:297)
    at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:286)
    at scala.Option.getOrElse(Option.scala:189)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:286)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:232)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
    at py4j.Gateway.invoke(Gateway.java:282)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:238)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: com.amazonaws.AmazonServiceException
    at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
    ... 30 more

Answer 1

hadoop-aws 2.7.4 使用 aws-java-sdk 1.7.4 与较新版本不完全兼容，因此如果您使用较新版本的 aws-java-sdk，则 Hadoop 找不到所需的类.您有以下选择：

• 删除对 aws-java-sdk 的显式依赖 - 如果您不需要更新的功能
• 使用 hadoop-3.1 配置文件将 Spark 2.4 与 Hadoop 3 一起编译，如文档中所述
• 切换到已使用 Hadoop 3.2 构建的版本的 Spark 3.0.x

Answer 2

我遇到了同样的问题，感谢https://notadatascientist.com/running-apache-spark-and-s3-locally/，我能够解决它

要遵循的步骤：

1. 检查使用 spark 安装的 hadoop 版本（在晶石罐中）
2. 下载 hadoop-aws jar 与相同版本的 hadoop。
3. 下载aws-java-sdk jar（检查时使用的是哪个版本 hadoop-aws 已开发）