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FileNotFoundError: [Errno 2] No such file or directory: '/FileStore/tables/flight_data.zip' The data and file exists in location mentioned above

Data_Engineer_3
New Contributor III

I am new to learning Spark and working on some practice; I have uploaded a zip file in DBFS /FileStore/tables directory and trying to run a python code to unzip the file; The python code is as: 

from zipfile import *

with ZipFile("/FileStore/tables/flight_data.zip", "r") as zipObj:

zipObj.extractall()

It throws an error:

FileNotFoundError: [Errno 2] No such file or directory: '/FileStore/tables/flight_data.zip'

When i check manually and also through the code dbutils.fs.ls("/FileStore/tables/") it returns

Out[13]: [ FileInfo(path='dbfs:/FileStore/tables/flight_data.zip', name='flight_data.zip', size=59082358)]

Can someone please review and advise; I am using community edition to run this on cluster with configuration:

Data Bricks Runtime Version 8.3 (includes Apache Spark 3.1.1, Scala 2.12)

12 REPLIES 12

Hubert-Dudek
Esteemed Contributor III

It is on dbfs mount so in most scenarios you should prefix everything with /dbfs (or dbfs:/ in databricks native functions, in many is not even needed as they handle only dbfs like dbutils). So please try:

from zipfile import *
 
with ZipFile("/dbfs/FileStore/tables/flight_data.zip", "r") as zipObj:
    zipObj.extractall()

โ€‹@Hubert Dudekโ€‹ 

โ€‹

Hello Sir,

I tried in the way you suggested as well.However no luck! Still gives the same error.

โ€‹

Thank you,

Goutamโ€‹

Hubert-Dudek
Esteemed Contributor III

Do you have maybe high-concurrency server or some limited trial version (trial/free can make problem with reading with not native libraries).

Try also to explorer filesystem using shell commands by putting magic %sh in the first line in notebook to see is there /dbfs folder

%sh
ls /

@Hubert Dudekโ€‹ 

Hi Sir,

โ€‹

Working in community edition; Tried with magic commands as well.No luck! It says the command is not recognized.

โ€‹

Hubert-Dudek
Esteemed Contributor III

so it seems that in community edition you can not direct access filesystem. You have access only to dbfs storage but you need to load there uncompressed object. So you need everywhere to prefix with dbfs:/ if it is not work for some function it will not work. As a last chance you can give a try like that:

    from zipfile import *
     
    with ZipFile("dbfs:/FileStore/tables/flight_data.zip", "r") as zipObj:
        zipObj.extractall()

@Hubert Dudekโ€‹ 

โ€‹

Hi Sir, No luck with this way also. :(.โ€‹

โ€‹

Thank you for all the great suggestions though.๐Ÿ˜Šโ€‹

Hi @Goutam Palโ€‹ ,

Are you still having this issue? I think @Kaniz Fatmaโ€‹  example will work great to solve your issue.

Data_Engineer_3
New Contributor III

@Jose Gonzalezโ€‹ @Kaniz Fatmaโ€‹ : The issue still persists. Please find attached the screenshot of the error.

Thanks,

Goutam Pal

Anonymous
Not applicable

@Goutam Palโ€‹ - Thank you for letting us know. I apologize about the inconvenience.

Hello Kaniz..Will try and revert you back.

I changed the Databricks runtimeโ€‹ version in cluster and it worked in my case. Thank you @Kaniz Fatmaโ€‹ 

883022
New Contributor II

What if changing the runtime is not an option? I'm experiencing a similar issue using the following:

%pip install -r /dbfs/path/to/file.txt

This worked for a while, but now I'm getting the Errno 2 mentioned above. I am still able to print the same file using dbutils.fs.head('dbfs:/path/to/file.txt')

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