# Creating PySpark Object
from pyspark.sql import SparkSession
spark = SparkSession.builder.appName("XMLParser").getOrCreate()
sc=spark.sparkContext
hadoop_conf=sc._jsc.hadoopConfiguration()
hadoop_conf.set("fs.s3n.impl", "org.apache.hadoop.fs.s3native.NativeS3FileSystem")
hadoop_conf.set("fs.s3n.awsAccessKeyId", aws_key)
hadoop_conf.set("fs.s3n.awsSecretAccessKey", aws_secret)
然后，我可以使用s3存储桶中的以下代码读取文件
df = spark.read.format("xml").options(rootTag='returnResult', rowTag="query").load("s3n://bucketName/folder/file.xml")
但是当我尝试使用此代码使用三角洲湖泊（镶木地板文件）写回s3时>
df.write.format("delta").mode('overwrite').save("s3n://bucket/folder/file")我收到此错误
Py4JJavaError: An error occurred while calling o778.save. : java.io.IOException: The error typically occurs when the default LogStore implementation, that is, HDFSLogStore, is used to write into a Delta table on a non-HDFS storage system. In order to get the transactional ACID guarantees on table updates, you have to use the correct implementation of LogStore that is appropriate for your storage system. See https://docs.delta.io/latest/delta-storage.html " for details. at org.apache.spark.sql.delta.DeltaErrors$.incorrectLogStoreImplementationException(DeltaErrors.scala:157) at org.apache.spark.sql.delta.storage.HDFSLogStore.writeInternal(HDFSLogStore.scala:73) at org.apache.spark.sql.delta.storage.HDFSLogStore.write(HDFSLogStore.scala:64) at org.apache.spark.sql.delta.OptimisticTransactionImpl$$anonfun$doCommit$1.apply$mcJ$sp(OptimisticTransaction.scala:434) at org.apache.spark.sql.delta.OptimisticTransactionImpl$$anonfun$doCommit$1.apply(OptimisticTransaction.scala:416) at org.apache.spark.sql.delta.OptimisticTransactionImpl$$anonfun$doCommit$1.apply(OptimisticTransaction.scala:416) at org.apache.spark.sql.delta.DeltaLog.lockInterruptibly(DeltaLog.scala:152) at org.apache.spark.sql.delta.OptimisticTransactionImpl$class.doCommit(OptimisticTransaction.scala:415) at org.apache.spark.sql.delta.OptimisticTransaction.doCommit(OptimisticTransaction.scala:80) at org.apache.spark.sql.delta.OptimisticTransactionImpl$$anonfun$commit$1.apply$mcJ$sp(OptimisticTransaction.scala:326) at org.apache.spark.sql.delta.OptimisticTransactionImpl$$anonfun$commit$1.apply(OptimisticTransaction.scala:284) at org.apache.spark.sql.delta.OptimisticTransactionImpl$$anonfun$commit$1.apply(OptimisticTransaction.scala:284) at com.databricks.spark.util.DatabricksLogging$class.recordOperation(DatabricksLogging.scala:77) at org.apache.spark.sql.delta.OptimisticTransaction.recordOperation(OptimisticTransaction.scala:80) at org.apache.spark.sql.delta.metering.DeltaLogging$class.recordDeltaOperation(DeltaLogging.scala:103) at org.apache.spark.sql.delta.OptimisticTransaction.recordDeltaOperation(OptimisticTransaction.scala:80) at org.apache.spark.sql.delta.OptimisticTransactionImpl$class.commit(OptimisticTransaction.scala:284) at org.apache.spark.sql.delta.OptimisticTransaction.commit(OptimisticTransaction.scala:80) at org.apache.spark.sql.delta.commands.WriteIntoDelta$$anonfun$run$1.apply(WriteIntoDelta.scala:67) at org.apache.spark.sql.delta.commands.WriteIntoDelta$$anonfun$run$1.apply(WriteIntoDelta.scala:64) at org.apache.spark.sql.delta.DeltaLog.withNewTransaction(DeltaLog.scala:188) at org.apache.spark.sql.delta.commands.WriteIntoDelta.run(WriteIntoDelta.scala:64) at org.apache.spark.sql.delta.sources.DeltaDataSource.createRelation(DeltaDataSource.scala:134) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:83) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:81) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676) at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:285) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:229) 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: org.apache.hadoop.fs.UnsupportedFileSystemException: fs.AbstractFileSystem.s3n.impl=null: No AbstractFileSystem configured for scheme: s3n at org.apache.hadoop.fs.AbstractFileSystem.createFileSystem(AbstractFileSystem.java:160) at org.apache.hadoop.fs.AbstractFileSystem.get(AbstractFileSystem.java:249) at org.apache.hadoop.fs.FileContext$2.run(FileContext.java:334) at org.apache.hadoop.fs.FileContext$2.run(FileContext.java:331) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698) at org.apache.hadoop.fs.FileContext.getAbstractFileSystem(FileContext.java:331) at org.apache.hadoop.fs.FileContext.getFileContext(FileContext.java:448) at org.apache.spark.sql.delta.storage.HDFSLogStore.getFileContext(HDFSLogStore.scala:47) at org.apache.spark.sql.delta.storage.HDFSLogStore.writeInternal(HDFSLogStore.scala:70) ... 53 more我试图遵循stacktrace中给出的链接，但无法弄清楚如何解决此问题。任何帮助将被请求]
＃从pyspark.sql创建PySpark对象import SparkSession spark = SparkSession.builder.appName（“ XMLParser”）。getOrCreate（）sc = spark.sparkContext hadoop_conf = sc._jsc.hadoopConfiguration（）...