如何通过读取存储在 Databrciks 中的 adls gen2 中的 csv 文件（特定列）来创建 ADLS gen2 中的文件夹

Question

I need help in to ceate folders in ADLS gen2 by reading a csv file(particular column) stored in adls gen2 in Databrciks. I am able to read csv file but not able to create folders in gen2 using databrciks.

I tried reading csv file using account key and SAS token,which i am able to read but not able to craete folders using mount folder in gen2.

Can someone please help on coding part like creating python code to create folders in gen2 using mount point.

dbutils.fs.mount( source = 'path', mount_point = '/mnt/...', extra_configs = {path,accountkey})

Answer 1

To create a directory, you can either use Databricks's dbutils or use python's os library.

• You can create directory in your mount folder with dbutils in the following way.

dbutils.fs.mkdirs("/mnt/repro/folder1")

• To create new folder using Python, import os library and then use os.mkdir .

import os
os.mkdir("/dbfs/mnt/repro/folder2")

• You can check if the folders are created or not using dbutils.fs.ls .

dbutils.fs.ls("/mnt/repro")

NOTE: You can also create sub-directories using dbutils but not with python's os library.