Writing dataframe to blob storage - file either empty or job abortedCan't write dataframe in Cosmos DB / documentDB from Databricks with pySparkAzure Databricks: Accessing Blob Storage Behind FirewallWriting Databricks dataframe to BLOB storageAzure Databricks mounting a blob storagePySpark on Databricks: Reading a CSV file copied from the Azure Blob Storage results in java.io.FileNotFoundExceptionAzure Databricks - Unable to read simple blob storage file from notebookNeed for Azure Blob Storage in Azure Databricks running Spark clustersDatabricks list all blobs in Azure Blob StorageReading data from Azure Blob Storage into Azure Databricks using /mnt/

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Writing dataframe to blob storage - file either empty or job aborted


Can't write dataframe in Cosmos DB / documentDB from Databricks with pySparkAzure Databricks: Accessing Blob Storage Behind FirewallWriting Databricks dataframe to BLOB storageAzure Databricks mounting a blob storagePySpark on Databricks: Reading a CSV file copied from the Azure Blob Storage results in java.io.FileNotFoundExceptionAzure Databricks - Unable to read simple blob storage file from notebookNeed for Azure Blob Storage in Azure Databricks running Spark clustersDatabricks list all blobs in Azure Blob StorageReading data from Azure Blob Storage into Azure Databricks using /mnt/






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty
margin-bottom:0;









0

















I'm trying to write a simple dataframe containing some string types as a csv and store it in my blob storage container. I've mounted the blob container in workspace using a SAS that has both read and write permissions and is not expired. I also want it to be a single file so used coalesce(1) but is coming out as PART-1, PART-0.



Here's my code



file_path_blob = "/mnt/LogData/predictions1"
anomalies_df.coalesce(1).write.csv(file_path_blob)


When I run the job it writes something but eventually fails ...with an error message like



Caused by: com.microsoft.azure.storage.StorageException: This request is not authorized to perform this operation using this permission.
at com.microsoft.azure.storage.StorageException.translateException(StorageException.java:89)
at com.microsoft.azure.storage.core.StorageRequest.materializeException(StorageRequest.java:305)
at com.microsoft.azure.storage.core.ExecutionEngine.executeWithRetry(ExecutionEngine.java:178)
at com.microsoft.azure.storage.blob.CloudBlob.delete(CloudBlob.java:928)
at shaded.databricks.org.apache.hadoop.fs.azure.StorageInterfaceImpl$CloudBlobWrapperImpl.delete(StorageInterfaceImpl.java:313)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.safeDelete(AzureNativeFileSystemStore.java:2533)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.rename(AzureNativeFileSystemStore.java:2727)
... 28 more


enter image description here



enter image description here










share|improve this question


























  • How are you connecting to blob storage? Is it mounted to that location?

    – Jon
    Mar 28 at 22:09











  • Hi Jon, yes it is. I've mounted it to /mnt/LogData in DBFS using the shared access signature of the container

    – MrL
    Mar 28 at 22:21











  • If you want just a true single file it is probably best to use the Azure SDK and pandas to upload it.

    – Jon
    Mar 28 at 23:39

















0

















I'm trying to write a simple dataframe containing some string types as a csv and store it in my blob storage container. I've mounted the blob container in workspace using a SAS that has both read and write permissions and is not expired. I also want it to be a single file so used coalesce(1) but is coming out as PART-1, PART-0.



Here's my code



file_path_blob = "/mnt/LogData/predictions1"
anomalies_df.coalesce(1).write.csv(file_path_blob)


When I run the job it writes something but eventually fails ...with an error message like



Caused by: com.microsoft.azure.storage.StorageException: This request is not authorized to perform this operation using this permission.
at com.microsoft.azure.storage.StorageException.translateException(StorageException.java:89)
at com.microsoft.azure.storage.core.StorageRequest.materializeException(StorageRequest.java:305)
at com.microsoft.azure.storage.core.ExecutionEngine.executeWithRetry(ExecutionEngine.java:178)
at com.microsoft.azure.storage.blob.CloudBlob.delete(CloudBlob.java:928)
at shaded.databricks.org.apache.hadoop.fs.azure.StorageInterfaceImpl$CloudBlobWrapperImpl.delete(StorageInterfaceImpl.java:313)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.safeDelete(AzureNativeFileSystemStore.java:2533)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.rename(AzureNativeFileSystemStore.java:2727)
... 28 more


enter image description here



enter image description here










share|improve this question


























  • How are you connecting to blob storage? Is it mounted to that location?

    – Jon
    Mar 28 at 22:09











  • Hi Jon, yes it is. I've mounted it to /mnt/LogData in DBFS using the shared access signature of the container

    – MrL
    Mar 28 at 22:21











  • If you want just a true single file it is probably best to use the Azure SDK and pandas to upload it.

    – Jon
    Mar 28 at 23:39













0












0








0








I'm trying to write a simple dataframe containing some string types as a csv and store it in my blob storage container. I've mounted the blob container in workspace using a SAS that has both read and write permissions and is not expired. I also want it to be a single file so used coalesce(1) but is coming out as PART-1, PART-0.



Here's my code



file_path_blob = "/mnt/LogData/predictions1"
anomalies_df.coalesce(1).write.csv(file_path_blob)


When I run the job it writes something but eventually fails ...with an error message like



Caused by: com.microsoft.azure.storage.StorageException: This request is not authorized to perform this operation using this permission.
at com.microsoft.azure.storage.StorageException.translateException(StorageException.java:89)
at com.microsoft.azure.storage.core.StorageRequest.materializeException(StorageRequest.java:305)
at com.microsoft.azure.storage.core.ExecutionEngine.executeWithRetry(ExecutionEngine.java:178)
at com.microsoft.azure.storage.blob.CloudBlob.delete(CloudBlob.java:928)
at shaded.databricks.org.apache.hadoop.fs.azure.StorageInterfaceImpl$CloudBlobWrapperImpl.delete(StorageInterfaceImpl.java:313)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.safeDelete(AzureNativeFileSystemStore.java:2533)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.rename(AzureNativeFileSystemStore.java:2727)
... 28 more


enter image description here



enter image description here










share|improve this question















I'm trying to write a simple dataframe containing some string types as a csv and store it in my blob storage container. I've mounted the blob container in workspace using a SAS that has both read and write permissions and is not expired. I also want it to be a single file so used coalesce(1) but is coming out as PART-1, PART-0.



Here's my code



file_path_blob = "/mnt/LogData/predictions1"
anomalies_df.coalesce(1).write.csv(file_path_blob)


When I run the job it writes something but eventually fails ...with an error message like



Caused by: com.microsoft.azure.storage.StorageException: This request is not authorized to perform this operation using this permission.
at com.microsoft.azure.storage.StorageException.translateException(StorageException.java:89)
at com.microsoft.azure.storage.core.StorageRequest.materializeException(StorageRequest.java:305)
at com.microsoft.azure.storage.core.ExecutionEngine.executeWithRetry(ExecutionEngine.java:178)
at com.microsoft.azure.storage.blob.CloudBlob.delete(CloudBlob.java:928)
at shaded.databricks.org.apache.hadoop.fs.azure.StorageInterfaceImpl$CloudBlobWrapperImpl.delete(StorageInterfaceImpl.java:313)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.safeDelete(AzureNativeFileSystemStore.java:2533)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.rename(AzureNativeFileSystemStore.java:2727)
... 28 more


enter image description here



enter image description here







azure-databricks






share|improve this question














share|improve this question











share|improve this question




share|improve this question










asked Mar 28 at 21:59









MrLMrL

662 silver badges16 bronze badges




662 silver badges16 bronze badges















  • How are you connecting to blob storage? Is it mounted to that location?

    – Jon
    Mar 28 at 22:09











  • Hi Jon, yes it is. I've mounted it to /mnt/LogData in DBFS using the shared access signature of the container

    – MrL
    Mar 28 at 22:21











  • If you want just a true single file it is probably best to use the Azure SDK and pandas to upload it.

    – Jon
    Mar 28 at 23:39

















  • How are you connecting to blob storage? Is it mounted to that location?

    – Jon
    Mar 28 at 22:09











  • Hi Jon, yes it is. I've mounted it to /mnt/LogData in DBFS using the shared access signature of the container

    – MrL
    Mar 28 at 22:21











  • If you want just a true single file it is probably best to use the Azure SDK and pandas to upload it.

    – Jon
    Mar 28 at 23:39
















How are you connecting to blob storage? Is it mounted to that location?

– Jon
Mar 28 at 22:09





How are you connecting to blob storage? Is it mounted to that location?

– Jon
Mar 28 at 22:09













Hi Jon, yes it is. I've mounted it to /mnt/LogData in DBFS using the shared access signature of the container

– MrL
Mar 28 at 22:21





Hi Jon, yes it is. I've mounted it to /mnt/LogData in DBFS using the shared access signature of the container

– MrL
Mar 28 at 22:21













If you want just a true single file it is probably best to use the Azure SDK and pandas to upload it.

– Jon
Mar 28 at 23:39





If you want just a true single file it is probably best to use the Azure SDK and pandas to upload it.

– Jon
Mar 28 at 23:39












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