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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

leireroman
by New Contributor III
  • 7453 Views
  • 2 replies
  • 2 kudos

Resolved! DBR 16.4 LTS - Spark 3.5.2 is not compatible with Delta Lake 3.3.1

I'm migrating to Databricks Runtime 16.4 LTS, which is using Spark 3.5.2 and Delta Lake 3.3.1 according to the documentation: Databricks Runtime 16.4 LTS - Azure Databricks | Microsoft LearnI've upgraded my conda environment to use those versions, bu...

Captura de pantalla 2025-06-09 084355.png
  • 7453 Views
  • 2 replies
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Latest Reply
SamAdams
Contributor
  • 2 kudos

@leireroman encountered the same and used an override (like a pip constraints.txt file or PDM resolution override specification) to make sure my local development environment matched the runtime.

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adrianhernandez
by Databricks Partner
  • 1904 Views
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Resolved! Folder execute permissions

Hello,After reading multiple posts, going thru online forums, even asking AI I still don't have an answer for my questions. On the latest Databricks with unity catalog, what happens if I give users Execute permissions on a folder.Can they view the co...

  • 1904 Views
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adrianhernandez
Databricks Partner
  • 1 kudos

Thanks for your response. That's what I imagined although could not confirm as my current project uses Unity Catalog and we are not allowed to run many commands including ACL related PySpark code.

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bbastian
by New Contributor
  • 1115 Views
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Resolved! [VARIANT_SIZE_LIMIT] Cannot build variant bigger than 16.0 MiB in parse_json

I have a table coming from postgreSql, with one column containing json data in string format. We have been using parse_json to convert that to a vraiant column. But lately it is failing with the SIZE_LIMIT error. When I isolated the row which gave er...

  • 1115 Views
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szymon_dybczak
Esteemed Contributor III
  • 1 kudos

Hi @bbastian ,Unfortunately, as of now there is strict limitation regarding size - a variant column cannot contain a value larger than 16 MiB.Variant support in Delta Lake | Databricks on AWSAnd tbh you cannot compare the size of this json string to ...

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sslyle
by Contributor
  • 9814 Views
  • 9 replies
  • 6 kudos

Resolved! Combining multiple Academy profiles

I have this profile @gmail.com; my personal professional profile.I also have a @mycompany.com profile.How do I combine both so I can leave my current job for a better life without losing the accolades I'm accumulated under my @mycompany.com login giv...

  • 9814 Views
  • 9 replies
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jChantoHdz
New Contributor II
  • 6 kudos

I have the same question, how this can be done?

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gzr58l
by New Contributor
  • 517 Views
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How to setup lakeflow HTTP for connector with M2M Authentication

I am getting the following error about content-type with no option to pick a different content-type when configuring the lakeflow connectorThe OAuth token exchange failed with HTTP status code 415 Unsupported Media Type. The returned server response ...

  • 517 Views
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saurabh18cs
Honored Contributor III
  • 0 kudos

Hi @gzr58l are you configuring a custom Lakeflow connector or external connection in Databricks? Also, consider using a service principal or personal access token (PAT) for authentication as a temporary workaround.

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JeffSeaman
by New Contributor III
  • 3006 Views
  • 8 replies
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Resolved! JDCB Error trying a get schemas call.

Hi Community,I have a free demo version and can create a jdbc connection and get metadata (schema, table, and columns structure info). Everything works as described in the docs, but when working with someone who has a paid version of databricks the s...

  • 3006 Views
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Louis_Frolio
Databricks Employee
  • 1 kudos

@JeffSeaman , please let us know if any of my suggestions help get you on the right track. If they do, kindly mark the post as "Accepted Solution" so others can benefit as well. Cheers, Louis.

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jakesippy
by New Contributor III
  • 3047 Views
  • 7 replies
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Resolved! How to get pipeline update duration programmatically

I'm looking to track how much time is being spent running updates for my DLT pipelines.When querying the list pipeline updates REST API endpoint I can see start and end times being returned, however, these fields are not listed in the documentation. ...

  • 3047 Views
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  • 14 kudos
Latest Reply
jakesippy
New Contributor III
  • 14 kudos

Originally went with the approach of exporting to and reading from the event log table, which has been helpful for getting other metrics as well.Also found today that there is a new system table is in public preview which exposes the durations I was ...

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VIRALKUMAR
by Databricks Partner
  • 15518 Views
  • 5 replies
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How to Determine the Cost for Each Query Run Against SQL Warehouse Serverless?

Hello Everyone.First of all, I would like to thank you to databricks to enable system tables for customers. It does help a lot. I am working on cost optimization topic. Particularly sql warehouse serverless. I am not sure all of you have tried system...

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skumarraj
New Contributor II
  • 0 kudos

Can you Share the query that you used ?

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aranjan99
by Contributor
  • 1970 Views
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Databricks Pipeline SDK misisng fields

Looking at the Databricks Java SDK for Pipeline events, I see that the Rest API returns a details field that has the same information as event log details. But this is not surfaced in SDK, should be a small change to add it. Is that something which c...

  • 1970 Views
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ManojkMohan
Honored Contributor II
  • 2 kudos

The start and end time fields in the Pipeline Updates API are currently present in the Databricks REST API but are not yet supported (i.e., not included or mapped) in the Databricks Java SDK as of September 2025.This means:You can see these fields (s...

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manish24101981
by New Contributor
  • 2636 Views
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Resolved! DLT or DataBricks for CDC and NRT

We are currently delivering a large-scale healthcare data migration project involving:One-time historical migration of approx. 80 TB of data, already completed and loaded into Delta Lake.CDC merge logic is already developed and validated using Apache...

  • 2636 Views
  • 1 replies
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mark_ott
Databricks Employee
  • 2 kudos

For cost-sensitive, large-scale healthcare data streaming scenarios, using Delta Live Tables (DLT) for both CDC and streaming (Option C) is generally the most scalable, manageable, and cost-optimized approach. DLT offers native support for structured...

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allancruz
by New Contributor
  • 3883 Views
  • 1 replies
  • 1 kudos

Resolved! Embedding Dashboards on Databricks Apps

Hi Team,I recently tried the Hello World template and embedded the <iframe> from the dashboard that I created. It works properly fine before I added some code to have a Login Form (I used Dash Plotly on creating the Login Form) before the dashboard a...

  • 3883 Views
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mark_ott
Databricks Employee
  • 1 kudos

in databricks, I recently tried the Hello World template and embedded the <iframe> from the dashboard that I created. It works properly fine before I added some code to have a Login Form (I used Dash Plotly on creating the Login Form) before the...

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databricksdata
by New Contributor
  • 3094 Views
  • 1 replies
  • 1 kudos

Resolved! Assistance Required with Auto Liquid Clustering Implementation Challenges

Hi Databricks Team,We are currently implementing Auto Liquid Clustering (ALC) on our Delta tables as part of our data optimization efforts. During this process, we have encountered several challenges and would appreciate your guidance on best practic...

  • 3094 Views
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mark_ott
Databricks Employee
  • 1 kudos

To implement Auto Liquid Clustering (ALC) on Delta tables in Databricks, especially when transitioning from external partitioned tables to unpartitioned managed tables, a careful and ordered process is crucial to avoid data duplication and ensure con...

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saicharandeepb
by Contributor
  • 4700 Views
  • 1 replies
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Resolved! Understanding High I/O Wait Despite High CPU Utilization in system.compute Metrics

Hi everyone,I'm working on building a hardware metrics dashboard using the system.compute schema in Databricks, specifically leveraging the cluster, node_type, and node_timeline tables.While analyzing the data, I came across something that seems cont...

  • 4700 Views
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mark_ott
Databricks Employee
  • 1 kudos

Your observation highlights a subtlety in interpreting CPU metrics, especially in distributed environments like Databricks, where cluster and node-level behaviors can diverge from typical single-server intuition. Direct Answer No, seeing both high cp...

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piotrsofts
by Databricks Partner
  • 2339 Views
  • 1 replies
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Resolved! LakeFlow Connect-&gt;GA4 - creation of Liquid Clustered stream table

Hello While creating new Data Ingestion from GA4, can we set-up Liquid Clustering (either Manual or Automatical) on destination table which will contain fetched data from GA4? 

  • 2339 Views
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mark_ott
Databricks Employee
  • 0 kudos

Yes, in Databricks, it is possible to set up Liquid Clustering—both manual and automatic—on destination tables that store data ingested from Google Analytics 4 (GA4). This feature significantly improves table management and query performance compared...

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IONA
by New Contributor III
  • 1070 Views
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Dabs Databricks asset bundles

Hi!I am relatively new to Dabs, but getting on quite well.I have managed to deploy both a job that uses a notebook defined in the bundle itself and a job that points to a notebook living in an azure devops git repo. While these are two viable solutio...

  • 1070 Views
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saurabh18cs
Honored Contributor III
  • 0 kudos

Hi @IONA ,you need to add a step into your CD pipeline to copy the notebook:- checkout: self- script: |cp path/to/notebook_in_repo/notebook.py .bundle/notebook.pydisplayName: 'Copy notebook into bundle'- script: |databricks bundle deploydisplayName: ...

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