正在编写Parquet文件引发...未指定此请求必需的HTTP标头

如何解决正在编写Parquet文件引发...未指定此请求必需的HTTP标头

我有两个ADLSv2存储帐户，两个帐户都启用了分层名称空间。 在我的Python笔记本中，经过一些扩充后，我正在从一个存储帐户读取CSV文件，然后将其作为拼写文件写入另一个存储中。

编写镶木地板文件时出现错误...

StatusCode=400,An HTTP header that's mandatory for this request is not 

非常感谢您的帮助。

下面是我的笔记本代码段...

# Databricks notebook source
# MAGIC %python
# MAGIC 
# MAGIC STAGING_MOUNTPOINT = "/mnt/inputfiles"
# MAGIC if STAGING_MOUNTPOINT in [mnt.mountPoint for mnt in dbutils.fs.mounts()]:
# MAGIC   dbutils.fs.unmount(STAGING_MOUNTPOINT)
# MAGIC 
# MAGIC PERM_MOUNTPOINT = "/mnt/outputfiles"
# MAGIC if PERM_MOUNTPOINT in [mnt.mountPoint for mnt in dbutils.fs.mounts()]:
# MAGIC   dbutils.fs.unmount(PERM_MOUNTPOINT)

STAGING_STORAGE_ACCOUNT = "--------"
STAGING_CONTAINER = "--------"
STAGING_FOLDER = --------"
PERM_STORAGE_ACCOUNT = "--------"
PERM_CONTAINER = "--------"

configs = {
 "fs.azure.account.auth.type": "OAuth","fs.azure.account.oauth.provider.type": 
 "org.apache.hadoop.fs.azurebfs.oauth2.ClientCredsTokenProvider","fs.azure.account.oauth2.client.id": "#####################","fs.azure.account.oauth2.client.secret": dbutils.secrets.get(scope="DemoScope",key="DemoSecret"),"fs.azure.account.oauth2.client.endpoint": 
 "https://login.microsoftonline.com/**********************/oauth2/token"}

STAGING_SOURCE = 
"abfss://{container}@{storage_acct}.blob.core.windows.net/".format(container=STAGING_CONTAINER,storage_acct=STAGING_STORAGE_ACCOUNT)

try:
 dbutils.fs.mount(
  source=STAGING_SOURCE,mount_point=STAGING_MOUNTPOINT,extra_configs=configs)
except Exception as e:
 if "Directory already mounted" in str(e):
 pass # Ignore error if already mounted.
else:
 raise e

print("Staging Storage mount Success.")

inputDemoFile = "{}/{}/demo.csv".format(STAGING_MOUNTPOINT,STAGING_FOLDER)
readDF = (spark
          .read.option("header",True)
          .schema(inputSchema)
          .option("inferSchema",True)
          .csv(inputDemoFile))

LANDING_SOURCE = 
 "abfss://{container}@{storage_acct}.blob.core.windows.net/".format(container=LANDING_CONTAINER,storage_acct=PERM_STORAGE_ACCOUNT)

try:
 dbutils.fs.mount(
 source=PERM_SOURCE,mount_point=PERM_MOUNTPOINT,extra_configs=configs)
except Exception as e:
 if "Directory already mounted" in str(e):
  pass # Ignore error if already mounted.
 else:
  raise e

print("Landing Storage mount Success.")

outPatientsFile = "{}/patients.parquet".format(outPatientsFilePath)
print("Writing to parquet file: " + outPatientsFile)

***Below call is failing…error is 
StatusCode=400
StatusDescription=An HTTP header that's mandatory for this request is not specified.
ErrorCode=
ErrorMessage=***

(readDF
 .coalesce(1)
 .write
 .mode("overwrite")
 .option("header","true")
 .option("compression","snappy")
 .parquet(outPatientsFile)
)

解决方法

我总结如下解决方案。

如果要将Azure数据湖存储gen2挂载为Azure databricks文件系统，则URL应类似于abfss://<file-system-name>@<storage-account-name>.dfs.core.windows.net/。有关更多详细信息，请参阅here

例如

1. 创建一个Azure Data Lake Storage Gen2帐户。

az login
az storage account create \
    --name <account-name> \
    --resource-group <group name> \
    --location westus \
    --sku Standard_RAGRS \
    --kind StorageV2 \
    --enable-hierarchical-namespace true

1. 创建服务主体，并将Storage Blob数据贡献者分配给Data Lake Storage Gen2存储帐户范围内的sp

az login

az ad sp create-for-rbac -n "MyApp" --role "Storage Blob Data Contributor" \
    --scopes /subscriptions/<subscription>/resourceGroups/<resource-group>/providers/Microsoft.Storage/storageAccounts/<storage-account>

1. 在Azure数据块（python）中安装Azure数据湖gen2

configs = {"fs.azure.account.auth.type": "OAuth","fs.azure.account.oauth.provider.type": "org.apache.hadoop.fs.azurebfs.oauth2.ClientCredsTokenProvider","fs.azure.account.oauth2.client.id": "<appId>","fs.azure.account.oauth2.client.secret": "<clientSecret>","fs.azure.account.oauth2.client.endpoint": "https://login.microsoftonline.com/<tenant>/oauth2/token","fs.azure.createRemoteFileSystemDuringInitialization": "true"}

dbutils.fs.mount(
source = "abfss://<container-name>@<storage-account-name>.dfs.core.windows.net/folder1",mount_point = "/mnt/flightdata",extra_configs = configs)

,

在Azure Databricks中安装存储帐户时要注意的重点。

对于 Azure Blob存储：source = "wasbs://<container-name>@<storage-account-name>.blob.core.windows.net/<directory-name>"

对于 Azure Data Lake Storage第2代：source = "abfss://<file-system-name>@<storage-account-name>.dfs.core.windows.net/"

要安装Azure Data Lake Storage Gen2文件系统或其中的文件夹作为Azure Databricks文件系统，URL应类似于abfss://<file-system-name>@<storage-account-name>.dfs.core.windows.net/

参考： Azure Databricks - Azure Data Lake Storage Gen2