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python - 如何从 Jupyter Pyspark 笔记本访问 MinIO 存储桶?

转载 作者:行者123 更新时间:2023-12-02 18:28:01 26 4
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我有 MinIO 和 Jupyter Pyspark notebook 实例在单独的 docker 容器上本地运行。我可以使用 minio Python 包查看 MinIO 中的存储桶和对象,但是当我尝试使用 Pyspark 从存储桶加载 Parquet 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来启动这些容器,运行一些测试,然后将它们拆除。我需要在某处包含一些配置吗?

最佳答案

请按照以下步骤操作:

相关的 aws jar

确保您已安装以下 jars :

您可以运行您的 pyspark应用类似于:

pyspark --jars "aws-java-sdk-1.7.4.jar,hadoop-aws-2.7.3(或来自 docker CMD )

在notebook里面,配置'hadoop configuration'

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")

请查看s3a client configuration到完整的参数列表

现在应该可以从minio查询数据了,例如:

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

关于python - 如何从 Jupyter Pyspark 笔记本访问 MinIO 存储桶?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/56662606/

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