Hi Databricks community,I'm facing a challenge extracting JSON data from Elasticsearch in Azure Databricks efficiently, maintaining header information.Previously, I had to use RDDs for parallel extraction, but they're no longer supported in Databrick...
Hi,I have a string column containing a number in EU format, has comma instead of dot, e.g. 10,35I need to convert this string into a proper decimal data type as part data transformation into the target table.I could do it as below by replacing the ",...
Hi @Harsha777 ,Your solution looks good!However, you may try also to_number function, but unfortunately still will need to first to replace "," with ".". from pyspark.sql.functions import to_number, regexp_replace, lit data = [("10,6523",), ("10,23"...
I am facing issues while Importing dlt library in Databricks Runtime 14.3. Previously while using the Runtime 13.1 The `import dlt` was working fine but now when updating the Runtime it is giving me error.This is the Cluster's Configuration Also ...
@Retired_mod Do you have any solution for this above problem ? I saw you reply in this link https://community.databricks.com/t5/data-engineering/no-module-named-dlt/td-p/21105. so i just ask you. Thank you !
I there,I have a scenario where the source XML files may have all the fields or may be 80% of fields in next run. How to we load the files in Delta tables which should handle the XML files with all field lists and also with few fields only. In smalle...
Auto Loader is not acceptable solution in my case. I tried to make an empty table using XSD file and then load the data frame. Some how it worked to meet the objective.
As someone who frequently works with large datasets in Power BI, I’ve had my fair share of frustrations with slow query performance, especially when pulling data from Databricks. After countless hours of tweaking and experimenting, I’ve finally found...
Hey folks, I have been trying to set up an SQL warehouse for Databricks in AWS (on a new account) but I keep getting this:Cluster Start-up Delayed. Please wait while we continue to try and start the cluster. No action is required from you.This kept h...
Hey Brahma,Thanks for the hints. I actually tried a lot of thinks back and forth and the only thing that finally worked was to create a new workspace. Since this was a new account, that was easy. I suppose something would have gone wrong with the con...
Hello ,I'm working on a Delta Live Tables (DLT) pipeline where I need to implement a conditional step that only triggers under specific conditions. Here's the challenge I'm facing:I have a function that checks if the data meets certain thresholds. If...
I am a data engineer and want to start with AI and ML, how and where to start with?
@JayanthDE refer this .https://github.com/amueller/introduction_to_ml_with_python/blob/main/03-unsupervised-learning.ipynb
We are using Databricks extensively in the company. We found out that we can’t clone/copy *.py file using UI. We can clone notebooks but not python file. If we clone folder, we only clone notebooks inside folder but not python file.
@shiva1212 When working with Databricks and managing Python files, it's true that the UI limitations can sometimes be restrictive. you can use Databricks CLI and REST API for file management and copying.
I have three notebooks: Notebook-1, Notebook-2, and Notebook-3, with a workflow dependency sequence of 1 -> 2 -> 3.Notebook-1 dynamically receives parameters, such as entity-1 and entity-2.Since these parameters change with each run, how can I pass t...
As long as the parameter names are the same in all Notebooks, whatever value you trigger the workflow with will automatically be sent to all the notebooks. For example, if all three notebooks in the workflow have parameters entity-1 and entity-2, and...
I want to send out an email if the cluster failed to start, i used to start the cluster using Databricks cli and then terminate them. In some cases ,my cluster is not starting at all and there are some errors.My use case is to send an email using dat...
Hi @mailsathesh ,You can write a script that will use databricks cli to start cluster. You can you --timeout flag to set maximum amount of time to reach running state. If this amoun is exceeded or if there is any error you can then send an email with...
I am attempting to stream JSON endpoint responses from an s3 bucket into a spark DLT. I have been very successful in this practice previously, but the difference this time is that I am storing the responses from multiple endpoints in the same s3 buck...
@Carter Mooring​ Thank you SO MUCH for coming back to provide a solution to your thread! Happy you were able to figure this out so quickly. And I am sure that this will help someone in the future with the same issue.
Hello I am very new to DB and building an UI where I need to show data from databricks table. Unfortunately , I am getting access delta sharing feature by administrator. Planning to develop own API and expose endpoint with JSON output. I am sure th...
Hi @Mangeysh,You could achieve this using Databricks SQL Statement Execution API. I would recommend going through the docs and looking at the functionality and limitations and see if it serves your need before planning to develop your own APIs.
Noticed something strange in the Databricks version control- I'm getting hidden commands with %environment that I can only see in the UI for version control. No idea what it's from, just a minor nuisance I'm curious if anyone can shed light on.+ %env...
Hello all, this is Justin from the PM team at Databricks. We are sorry about the friction this caused you. This was a feature related to the new way that we are doing dependency management in our serverless offerings - Environments. We are going to r...
I have a dataframe that inexplicably takes forever to write to an MS SQL Server even though other dataframes, even much larger ones, write nearly instantly. I'm using this code:my_dataframe.write.format("jdbc") .option("url",sqlsUrl) .optio...
Had a similar issue. I can do 1-4 million rows in 1 minute via SSIS ETL on SQL server. Table is 15 fields long. Looking at your code it seems you have many fields but nothing like 300-400 fields which can affect performance. You can check SQL Server ...
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