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I have a main databricks notebook that runs a handful of functions. In this notebook, I import a helper.py file that is in my same repo and when I execute the import everything looks fine. Inside my helper.py there's a function that leverages built-i...
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- 5 replies
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Hi,i 'm facing similiar issue, when deploying via dbx.I have an helper notebook, that when executing it via jobs works fine (without any includes)while i deploy it via dbx (to same cluster), the helper notebook results withdbutils.fs.ls(path)NameEr...
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Hi,I am considering creating libraries for my databricks notebooks, and found that it is possible to import functions from modules saved in repos. Is it possible to move the .py files with the functions to Workspace/Shared and still import functions ...
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- 4 replies
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Hi @Christine Pedersen Hope everything is going great.Just wanted to check in if you were able to resolve your issue. If yes, would you be happy to mark an answer as best so that other members can find the solution more quickly? If not, please tell ...
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by
kll
• New Contributor III
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`AttributeError` when attempting to transfer files from `dbfs` filestore in DataBricks to a local directory. import pyspark.dbutils as pdbutils
pdbutils.fs.cp("/dbfs/Data/file1.csv", "/Users/Downloads/")
Traceback (most recent call last):
...
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- 2 replies
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Hi @Keval Shah Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers yo...
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I have been following the documentation on the terraform databricks documentation in order to provision account level resources on AWS. I can create the workspace fine, add users, etc... However, when I go to use the provider in non-mws mode, I am re...
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So the answer to this was that you need to explicitly pass the provider argument to each of the data resources blocks. The docs should be updated to accommodate that. i.e. data "databricks_spark_version" "latest" {
provider = databricks.workspace
...
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tariq
• New Contributor III
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I'm not sure how a simple thing like importing a module in python can be so broken in such a product. First, I was able to make it work using the following:import sys
sys.path.append("/Workspace/Repos/Github Repo/sparkling-to-databricks/src")
from ut...
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- 4 replies
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I too wonder the same thing. How can importing a python module be so difficult and not even documented lol.No need for libraries..Here's what worked for me..Step1: Upload the module by first opening a notebook >> File >> Upload Data >> drag and drop ...
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I am running a notebook on the Coursera platform.my configuration file, Classroom-Setup, looks like this:%python
spark.conf.set("com.databricks.training.module-name", "deep-learning")
spark.conf.set("com.databricks.training.expected-dbr", "6.4")
...
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Hi @Maria Bruevich ,From the error description, it looks like the mlflow library is not present. You can use ML cluster as these type of cluster already have mlflow library. Please check the below document:https://docs.databricks.com/release-notes/r...
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