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Read file from dbfs with pd.read_csv() using databricks-connect

hamzatazib96
New Contributor III

Hello all,

As described in the title, here's my problem:

1. I'm using databricks-connect in order to send jobs to a databricks cluster

2. The "local" environment is an AWS EC2

3. I want to read a CSV file that is in DBFS (databricks) with

pd.read_csv()
. Reason for that is that it's too big to do
spark.read.csv()
and then
.toPandas()
(crashes everytime).

4. When I run

pd.read_csv("/dbfs/FileStore/some_file")
I get a
FileNotFoundError
because it points to the local S3 buckets rather than to dbfs. Is there a way to do what I want to do (e.g. change where pandas looks for files with some options)?

Thanks a lot in advance!

1 ACCEPTED SOLUTION

Accepted Solutions

Anonymous
Not applicable

Hi,

โ€‹

After some research, I have found out that the pandas API reads only local files. This means that even if a read_csv command works in the Databricks Notebook environment, it will not work when using databricks-connect (pandas reads locally from within the notebook environment).

โ€‹

A work around is to use the pyspark spark.read.format('csv') API to read the remote files and append a ".toPandas()" at the end so that we get a pandas dataframe.

df_pandas = spark.read.format('csv').options(header='true').load('path/in/the/remote/dbfs/filesystem/').toPandas()

View solution in original post

28 REPLIES 28

Kaniz_Fatma
Community Manager
Community Manager

Hi @ hamzatazib96 ! My name is Kaniz, and I'm a technical moderator here. Great to meet you, and thanks for your question! Let's see if your peers on the Forum have an answer to your questions first. Or else I will follow up shortly with a response.

User16763506586
Contributor

Hi,

what happens if you change it to below ?

pd.read_csv("file:/dbfs/FileStore/some_file")

Trying it with pd.read_excel does not help.

venter2021
New Contributor II

I am having a similar issue:

  • I am running databricks-connect from within a docker container
  • I have a .xls file stored in Azure File storage, which is mounted to dbfs
  • I would like to read this excel file with
pd.read_excel("dbfs:/mnt/path/to/file.xls")

Has a solution been found for this?

Hi @venter2021, Did you try this?

pd.read_csv("/dbfs/mnt/path_to_file.csv")
pd.read_excel("/dbfs/mnt/path_to_file.xls")

I've tried, which doesn't work.

Hi @Yuanyue Liuโ€‹ , Which DBR version are you using?

Hi Fatma,

Thanks for asking.

I've tried 10.1 ML (includes Apache Spark 3.2.0, Scala 2.12) and 9.1 LTS (Scala 2.12, Spark 3.1.2) . Both of them don't work.

However, it works while I read it via spark. And I used display(dbutils.fs.ls("dbfs:/FileStore/tables/")) to test it, my file path(dbfs:/FileStore/tables/POS_CASH_balance.csv) exists. So I don't think it is the problem of the path or my code of pandas. I personally guess that the free version didn't support reading csv/files from dbfs via pandas directly, isn't it?

Here is the change of my code, and the change works

pd.read_csv('dbfs:/FileStore/tables/POS_CASH_balance.csv')-->spark.read.csv('dbfs:/FileStore/tables/POS_CASH_balance.csv)

Hope my experience could help others.

Cheers

martud
New Contributor II

DataBricks community edition 10.4 LTS ML (Apache Spark 3.2.1, Scala 2.12) has the same problem with pd.read_csv.

The spark.read statement replaces the original column names with (_c0, _c1,โ€ฆ), unless .option("header", true") is used.

The following forms should work:

path = 'dbfs:/FileStore/tables/POS_CASH_balance.csv'
spark.read
.option("header", "true")
.csv(path)
spark.read
.format("csv")
.option("header", "true")
.load(file_name)

Anonymous
Not applicable

Hi @Kaniz Fatmaโ€‹ ,

I am having similar issues when using databricks-connect with Azure. I am not able to read data that is already mounted to dbfs (from a datalake gen2). The data is readable within the Azure Databricks Notebook environment but not from databricks-connect.

Hi @Arturo Amadorโ€‹ , Please mention your DBR version.

Anonymous
Not applicable

Hi,

My DBR:

9.1 LTS (includes Apache Spark 3.1.2, Scala 2.12)

Anonymous
Not applicable

@Kaniz Fatmaโ€‹ ,

All tests in databricks-connect pass. I am also able to run the examples provided in the documentation (which do not read data from dbfs)

Hi @Arturo Amadorโ€‹ , Would you like to share the changes you made in order to get the solution?

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