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DLT Pipeline Validate will always spawn new cluster
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....
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Well, turns out if I do not make any changes to the cluster settings when creating a new pipeline (i.e. keep default) it works as expected (every new "validate" skips the "waiting for resources"-step).Initially, I reduced the number of workers to a m...
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Resolved! DLT Compute: "Ephemeral" Job Compute vs. All-purpose compute 2.0 ... WHY?
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...
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@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...
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- 1299 Views
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Materialized Views Still In Public Preview?
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...
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Yes, if the documentation states it, it's still in preview.
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- 7108 Views
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Resolved! DLT Job Clusters: Continuous vs Triggered Cluster Start Times
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...
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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 ...
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- 5857 Views
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DLT Primary Key Deduplication: Expectations vs. Constraints vs. Other?
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...
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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...
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- 5101 Views
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Resolved! DLT Notebook and Pipeline Separation vs Consolidation
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...
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- 7866 Views
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DLT Compute Resources - What Compute Is It???
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?
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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...
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