Hello there,I am trying to start a serverless databricks SQL cluster in GCP. I am following this databricks doc: https://docs.gcp.databricks.com/en/admin/sql/serverless.htmlI have checked that all my requirements are fulfilled for activating the clus...
Hi @Keyurishah_, We're thrilled to hear that you had a great experience at DAIS 2023! Your feedback is valuable to us, and we appreciate you taking the time to share it on the community platform.
We wanted to let you know that the Databricks Communit...
Hi All,Currently I trying to connect databricks Unity Catalog from Powerapps Dataflow by using spark connector specifying http url and using databricks personal access token as specified in below screenshot: I am able to connect but the issue is when...
thanks for replying @Kaniz . I am using my user person token to connect and I have all access on catalog,schema and tables. I am able to view in Databricks Sql editor but not via Spark connector in power apps. It still shows me Is there anything else...
When I am running a query on Databricks itself from notebook, it is running fine and giving me results. But the same query when executed from FastAPI (Python, using databricks library) is giving me "TypeError: 'NoneType' object is not iterable".I can...
Hi @Nastia, The “TypeError: ‘NoneType’ object is not iterable” error typically occurs when you try to iterate over a variable that has a value of None.
Let’s explore some possible solutions to address this issue:
Check for None before Iterating: ...
How/how many databricks notebooks should be created to populate multiple silver delta tables, all having different and complex transformations ? What's the best practice -1. create a notebook each for a silver table ?2. push SQL transformation logic ...
Hi @jitesh, When organizing your Databricks Notebooks for multiple silver Delta tables with different and complex transformations, it’s essential to follow best practices.
Here are some recommendations:
Separate Notebooks for Each Layer:
Bronze L...
Hi Team,We are currently planning to implement Databricks cell-level code parallel execution through the Python threading library. We are interested in comprehending the resource consumption and allocation process from the cluster. Are there any pot...
Hi @Phani1, Implementing Databricks cell-level code parallel execution through the Python threading library can be beneficial for performance, but there are some considerations to keep in mind.
Let’s break it down:
Resource Consumption and Alloca...
In azure AD, it's shows users are synced to Databricks. But in Databricks, it's showing users is not a part of the group. The user is not part of only one group , he is part of remaining groups. All the syncing works fine till yesterday. I don't now ...
Hi @Fresher, It sounds like you’re experiencing an issue with user synchronization between Azure AD and Databricks.
Let’s troubleshoot this together!
Here are some steps you can take to resolve the issue:
Check SCIM Provisioning Configuration:
En...
In my SQL data transformation pipeline, I'm doing chained/cascading window aggregations: for example, I want to do average over the last 5 minutes, then compute average over the past day on top of the 5 minute average, so that my aggregations are mor...
Hi @chloeh, You’re working with a Spark SQL data transformation pipeline involving chained window aggregations.
Let’s look at your code snippet and see if we can identify the issue.
First, let’s break down the steps you’ve implemented:
You’re read...
Hi,I have configured 20 different workflows in Databricks. All of them configured with job cluster with different name. All 20 workfldows scheduled to run at same time. But even configuring different job cluster in all of them they run sequentially w...
Honestly you shouldn't have any kind of limitation executing diferent workflows.I did a test case in my Databricks and if you have your workflows with a job cluster your shouldn't have limitation. But I did all my test in Azure and just for you to kn...
Hi Databricks Community,I am following https://customer-academy.databricks.com/learn/course/1266/data-engineering-with-databricks?generated_by=575333&hash=6edddab97f2f528922e2d38d8e4440cda4e5302a this course provided by databricks. In this when I am ...
Hi @namankhamesara, Thank you for reaching out! It appears there might be an issue with accessing the data for your course. To expedite your request and resolve this issue promptly, please list your concerns on our ticketing portal. Our support staff...
As per info available ingestion time clustering makes use of time of the time a file is written or ingested in databricks. In a use case where there is new delta table and an etl which runs in timely fashion(say daily) inserting records, am able to ...
Hi @Shazam, Great questions! Let’s break down each scenario:
Initial Data Migration: When migrating data from an existing platform to Databricks, you might have a large initial load of records. In this case, ingestion time clustering can still be...
Hi,I have a DLT pipeline that applies changes from a source table (cdctest_cdc_enriched) to a target table (cdctest), by the following code:dlt.apply_changes( target = "cdctest", source = "cdctest_cdc_enriched", keys = ["ID"], sequence_by...
Hi @Anske, It seems you’re encountering an issue with your Delta Live Tables (DLT) pipeline where updates from the source table are not being correctly applied to the target table.
Let’s troubleshoot this together!
Pipeline Update Process: Whe...
I am using a tqdm progress bar to monitor the amount of data records I have collected via API. I am temporarily writing them to a file in the DBFS, then uploading to a Spark DataFrame. Each time I write to a file, I get a message like 'Wrote 8873925 ...
Hi @halox6000, To stop the progress bar output from tqdm, you can use the disable argument. Set it to True to silence any tqdm output. In fact, it will not only hide the display but also skip the progress bar calculations entirely1. Here’s an examp...
Hi All, My job is breaking as the cluster is not able to autoscale. below is the log,can it be due to AWS vms are not spinning up or can be due to issue databricks configuration.Does anyone has faced it before ?TERMINATING Compute terminated. Reason:...
As of this morning we started receiving the following error message on a Databricks job with a single Pyspark Notebook task. The job has not had any code changes in 2 months. The cluster configuration has also not changed. The last successful run of ...
As advised, I double confirmed that no code or cluster configuration was changed (even got a second set of eyes on it that confirmed the same).I was able to find a "fix" which puts a bandaid on the issue:I was able to pinpoint that the issue seems to...
