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[英]Apache Spark 3.1.2 can't read from S3 via documented spark-hadoop-cloud
[英]read a text file from S3 into a Spark df : UsupportedOperationException
我正在嘗試使用 Spark 從本地 s3 兼容的 object 存儲中讀取一個文本文件,但我收到一條錯誤消息:UsupportedOperationException。 我不確定這是指什么,並嘗試調整代碼思維可能是 spark.read 命令。 我已經嘗試過 read.text 和 read.csv 兩者都應該工作,但導致相同的錯誤。 下面是完整的堆棧跟蹤以及代碼:
正在使用的代碼:
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.appName("s3reader") \
.getOrCreate()\
sc = spark.sparkContext
sc._jsc.hadoopConfiguration().set("fs.s3a.path.style.access", "true")
sc._jsc.hadoopConfiguration().set("fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")
sc._jsc.hadoopConfiguration().set("fs.s3a.access.key","xxxxxxxxxxxx")
sc._jsc.hadoopConfiguration().set("fs.s3a.secret.key", "xxxxxxxxxxxxxx")
sc._jsc.hadoopConfiguration().set("fs.s3a.connection.ssl.enabled", "true")
df = spark.read.text("https://s3a.us-east-1.xxxx.xxxx.xxxx.com/bronze/xxxxxxx/test.txt")
print(df)
堆棧跟蹤:
Traceback (most recent call last):
File "/home/cloud/sparks3test.py", line 19, in <module>
df = spark.read.text("https://s3a.us-east-1.tpavcps3ednrg1.vici.verizon.com/bronze/CoreMetrics/test.txt")
File "/usr/local/bin/spark-3.1.2-bin-hadoop3.2/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 516, in text
File "/usr/local/bin/spark-3.1.2-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1304, in __call__
File "/usr/local/bin/spark-3.1.2-bin-hadoop3.2/python/lib/pyspark.zip/pyspark/sql/utils.py", line 111, in deco
File "/usr/local/bin/spark-3.1.2-bin-hadoop3.2/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", line 326, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o31.text.
: java.lang.UnsupportedOperationException
at org.apache.hadoop.fs.http.AbstractHttpFileSystem.listStatus(AbstractHttpFileSystem.java:91)
at org.apache.hadoop.fs.http.HttpsFileSystem.listStatus(HttpsFileSystem.java:23)
at org.apache.spark.util.HadoopFSUtils$.listLeafFiles(HadoopFSUtils.scala:225)
at org.apache.spark.util.HadoopFSUtils$.$anonfun$parallelListLeafFilesInternal$1(HadoopFSUtils.scala:95)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at scala.collection.TraversableLike.map(TraversableLike.scala:238)
at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.util.HadoopFSUtils$.parallelListLeafFilesInternal(HadoopFSUtils.scala:85)
at org.apache.spark.util.HadoopFSUtils$.parallelListLeafFiles(HadoopFSUtils.scala:69)
at org.apache.spark.sql.execution.datasources.InMemoryFileIndex$.bulkListLeafFiles(InMemoryFileIndex.scala:158)
at org.apache.spark.sql.execution.datasources.InMemoryFileIndex.listLeafFiles(InMemoryFileIndex.scala:131)
at org.apache.spark.sql.execution.datasources.InMemoryFileIndex.refresh0(InMemoryFileIndex.scala:94)
at org.apache.spark.sql.execution.datasources.InMemoryFileIndex.<init>(InMemoryFileIndex.scala:66)
at org.apache.spark.sql.execution.datasources.DataSource.createInMemoryFileIndex(DataSource.scala:581)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:417)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:325)
at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:307)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:307)
at org.apache.spark.sql.DataFrameReader.text(DataFrameReader.scala:944)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
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.base/java.lang.Thread.run(Thread.java:829)```
嘗試從 S3 讀取文件,如下所示。
s3a://bucket/bronze/xxxxxxx/test.txt
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