Databricks

This is an issue on the cloud level so try to put retries in the job as it happens not for all cluster start , it may fails once but will start after retry,Also, raise a databricks ticket , they will provide permanent solution

DBFS is just an abstraction on cloud storage By default when you create a workspace, you get an instance of DBFS - so-called DBFS Root. Plus you can mount additional storage accounts under the /mnt folder. Data written to mount point paths (/mnt) is...

try importing argv from sys. Then if you have the parameter added correctly in DataFactory you could get it in your python script typing argv[1] (index 0 is the file path).

I have been facing the same problem over and over. Now trying to follow what's written here (https://docs.databricks.com/data/data-sources/azure/azure-storage.html#access-azure-blob-storage-directly), but always getting "shaded.databricks.org.apache...

Hi @akj2784,Please go through Databricks documentation on working with files in S3,https://docs.databricks.com/spark/latest/data-sources/aws/amazon-s3.html#mount-s3-buckets-with-dbfs

Taras's answer is correct. Because spark-avro is based on the RDD APIs, the properties must be set in the hadoopConfiguration options. Please note these docs for configuration using the RDD API: https://docs.azuredatabricks.net/spark/latest/data-sou...

I am new in Azure Data Bricks..and I am trying to write the Data frame in mounted ADLS file. But in below command dfGPS.write.mode("overwrite").format("com.databricks.spark.csv").option("header","true").csv("/mnt/<mount-name>")