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Hi all!I've started learning DLT-Pipelines but I am struggling with the development of a pipeline.As far as I understand it, once I click on “Validate” a cluster will spin-up and stay (by default for 2hours), if the pipeline is in “Development” mode....
Hi @T0M,
It is expected that the cluster restarts with each validation to ensure that your changes are accurately reflected.
In development mode, once you click "Validate," a cluster will spin up, and it stays active for up to two hours by default. ...
I'm curious, is DLT *required* to use Materialized Views in Databricks? Is it not possible to create and refresh a Materialized view via a standard Databricks Workflow?
Hi @ChristianRRL ,When creating a materialized view in Databricks, the data is stored in DBFS, cloud storage, or Unity Catalog volume. You can still create a materialized view by overwriting the same table each time, instead of using Append, Update, ...
Hi there, silly question here but can anyone help me understand what practical purpose does labelling the table_properties with "quality":"<specific_medallion>"? For example: @Dlt.table(
comment="Bronze live streaming table for Test data",
name="...
I'm with the same doubt @ChristianRRL, did you figured out something related to it?My doubt is to check if it's possible to apply any kind of access control based on this property.
Hi all. I am no longer able to install my custom wheel in my DLT pipeline. No matter what configuration I try I cannot get it to work: parameterized or just hard-coding the path to the wheel. If I run the hard-coded cell with an all-purpose cluster t...
I managed to fix the issue. The problem was that my wheel was built for Databricks Runtime 14.3 LTS and I was using the PREVIEW channel rather than the CURRENT channel. At time of writing:CURRENT(default): Databricks Runtime 14.1 --> Python: 3.10.12P...
Hi there, this is a follow-up from a discussion I started last monthSolved: Re: DLT Compute: "Ephemeral" Job Compute vs. All-p... - Databricks Community - 71661Based on what was discussed, I understand that it's not possible to use "All Purpose Clust...
@ChristianRRL regarding on why DLT doesn't allow you to use all-purpose clusters:
1. The DLT runtime is derived from the shared compute DBR, it's not the same runtime and has different features than the common all-purpose runtime. A DLT pipeline is n...
The title is self-explanatory, but I'm curious if anyone has any inclination as to when Materialized Views will enter General Availability? I'm surprised it's not already in GA considering (A) it's been a year or more since Databricks originally anno...
Hi there,I'm curious if anyone is able to definitively help me answer how DLT Job Clusters operate/run.For example, the following is my baseline understanding of DLT Job Clusters. If I run a Triggered DLT Pipeline (e.g. daily) the job cluster takes m...
Ideally one would expect clusters used for DLT pipeline to terminate after the pipeline execution has finished. However, while running in `development` environment, you'll notice it doesn't terminate on its own, whereas in `production` it terminates ...
I'm trying to figure out what's the best way to "de-duplicate" data via DLT. Currently, my only leads are:Manage data quality with Delta Live Tables | Databricks on AWSVia "Drop invalid records"Constraints on Databricks | Databricks on AWSVia "pre-de...
Hey @ChristianRRL ,Based on my understanding you want to de-duplicate your data during your DLT pipeline processing unfortunately I was not able to find a solution to this when I ran into this problem due to the native feature limitations.Limitations...
Super basic question. For DLT pipelines I see there's an option to add multiple "Paths". Is it generally best practice to completely separate `bronze` from `silver` notebooks? Or is it more recommended to bundle both raw `bronze` and clean `silver` d...
Hi there, I'm wondering if someone can help me understand what compute resources DLT uses? It's not clear to me at all if it uses the last compute cluster I had been working on, or something else entirely.Can someone please help clarify this?
Well, one thing they emphasize in the 'Adavanced Data Engineer' Training is that job-clusters will terminate within 5 minutes after a job is completed. So this could be in support of your theory to lower costs. I think job-cluster are actually design...
