如何将spark DataFrame作为CSV存储到Azure Blob存储器中

Question

我正试图从本地Spark集群将Spark DataFrame存储为Azure Blob存储中的CSV

首先，我用Azure Account/Account键设置配置（我不确定什么是正确的配置，所以我已经设置了所有这些）

sparkContext.getConf.set(s"fs.azure.account.key.${account}.blob.core.windows.net", accountKey)

sparkContext.hadoopConfiguration.set(s"fs.azure.account.key.${account}.dfs.core.windows.net", accountKey)
    sparkContext.hadoopConfiguration.set(s"fs.azure.account.key.${account}.blob.core.windows.net", accountKey)

filePath = s"wasbs://${container}@${account}.blob.core.windows.net/${prefix}/${filename}"
dataFrame.coalesce(1)
  .write.format("csv")
  .options(Map(
    "header" -> (if (hasHeader) "true" else "false"),
    "sep" -> delimiter,
    "quote" -> quote
  ))
  .save(filePath)

org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:196)
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:668)
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:276)
org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:270)
org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:228)

org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:185)
org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:185)
scala.Option.getOrElse(Option.scala:121)
org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:184)
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373)
org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)

似乎这个问题已经在数据库论坛上报告了！！

在Azure Blob上存储DataFrame的正确方法是什么？

Answer 1

事实证明，在作业失败之前，有一个内部错误

Caused by: java.lang.NoSuchMethodError: com.microsoft.azure.storage.blob.CloudBlob.startCopyFromBlob(Ljava/net/URI;Lcom/microsoft/azure/storage/AccessCondition;Lcom/microsoft/azure/storage/AccessCondition;Lcom/microsoft/azure/storage/blob/BlobRequestOptions;Lcom/microsoft/azure/storage/OperationContext;)Ljava/lang/String;
    at org.apache.hadoop.fs.azure.StorageInterfaceImpl$CloudBlobWrapperImpl.startCopyFromBlob(StorageInterfaceImpl.java:399)
    at org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.rename(AzureNativeFileSystemStore.java:2449)
    at org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.rename(AzureNativeFileSystemStore.java:2372)
    at org.apache.hadoop.fs.azure.NativeAzureFileSystem$NativeAzureFsOutputStream.restoreKey(NativeAzureFileSystem.java:918)
    at org.apache.hadoop.fs.azure.NativeAzureFileSystem$NativeAzureFsOutputStream.close(NativeAzureFileSystem.java:819)
    at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
    at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:106)
    at sun.nio.cs.StreamEncoder.implClose(StreamEncoder.java:320)
    at sun.nio.cs.StreamEncoder.close(StreamEncoder.java:149)
    at java.io.OutputStreamWriter.close(OutputStreamWriter.java:233)
    at com.univocity.parsers.common.AbstractWriter.close(AbstractWriter.java:876)
    ... 18 more

在用实际数据创建临时文件之后，它试图将文件移动到用户使用cloudblob.startcopyfromblob指定的位置。像往常一样，microsft人员通过将此方法重命名为cloudblob.startcopy来解决这个问题。

我使用的是“org.apache.hadoop”%“hadoop-azure”%“3.2.1”，这是“hadoop-azure”的最新版本，它似乎与旧的startcopyfromblob保持一致，所以我需要使用具有此方法的旧的azure-storage版本，可能是2.x.x。

参见https://github.com/azure/azure-storage-java/issues/113