Question

我有在单独的Docker容器上本地运行的MinIO和Jupyter Pyspark笔记本的实例。我可以使用minio Python包在MinIO中查看存储桶和对象，但是当我尝试使用Pyspark从存储桶中加载实木复合地板时，我得到以下信息：

代码：

salesDF_path = 's3a://{}:{}/data/sales/example.parquet'.format(host, port)
df = spark.read.load(salesDF_path)

错误：

Py4JJavaError: An error occurred while calling o22.load.
: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class org.apache.hadoop.fs.s3a.S3AFileSystem not found
    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.datasources.DataSource$$anonfun$org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary$1.apply(DataSource.scala:547)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary$1.apply(DataSource.scala:545)
    at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
    at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
    at scala.collection.immutable.List.foreach(List.scala:392)
    at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
    at scala.collection.immutable.List.flatMap(List.scala:355)
    at org.apache.spark.sql.execution.datasources.DataSource.org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary(DataSource.scala:545)
    at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:359)
    at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
    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: Class org.apache.hadoop.fs.s3a.S3AFileSystem not found
    at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2101)
    at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2193)
    ... 30 more

我正在尝试编写一个脚本，以启动这些容器，运行一些测试，然后将其拆除。我需要在某些地方包含一些配置吗？

Answer 1

您能显示一下如何安装Spark并对其进行初始化吗？看来您必须下载org.apache.hadoop.fs.s3a.S3AFileSystem的Java库。您可以确定已安装hadoop-aws和aws-java-sdk JARS吗？我使用http://central.maven.org/maven2/org/apache/hadoop/hadoop-aws/2.7.3/hadoop-aws-2.7.3.jar和http://central.maven.org/maven2/com/amazonaws/aws-java-sdk/1.7.4/aws-java-sdk-1.7.4.jar。

Answer 2

在此处查看此评论：https://github.com/jupyter/docker-stacks/issues/272#issuecomment-244278586

特别是：

MainStackNav

这有助于摆脱找不到该类的错误

Answer 3

请按照以下步骤操作：

在笔记本内部，配置“ hadoop配置”

sc._jsc.hadoopConfiguration().set("fs.s3a.access.key", "access_key")
sc._jsc.hadoopConfiguration().set("fs.s3a.secret.key", "secret_key")
sc._jsc.hadoopConfiguration().set("fs.s3a.proxy.host", "minio")
sc._jsc.hadoopConfiguration().set("fs.s3a.endpoint", "minio")
sc._jsc.hadoopConfiguration().set("fs.s3a.proxy.port", "9000")
sc._jsc.hadoopConfiguration().set("fs.s3a.path.style.access", "true")
sc._jsc.hadoopConfiguration().set("fs.s3a.connection.ssl.enabled", "false")
sc._jsc.hadoopConfiguration().set("fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")

请检查s3a client configuration以查看完整的参数列表

现在应该可以从minio查询数据了，例如：

sc.textFile("s3a://<file path>")

如何从Jupyter Pyspark笔记本访问MinIO存储桶？

3 个答案:

相关的aws罐子

在笔记本内部，配置“ hadoop配置”