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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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jhon341
by • New Contributor
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How can I optimize Spark performance in Databricks for large-scale data processing

I'm using Databricks for processing large-scale data with Apache Spark, but I'm experiencing performance issues. The processing time is taking longer than expected, and I'm encountering memory and CPU usage limitations. I want to optimize the perform...

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Anonymous
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@jhon marton​ :Optimizing Spark performance in Databricks for large-scale data processing can involve a combination of techniques, configurations, and best practices. Below are some recommendations that can help improve the performance of your Spark ...

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Sujitha
by • Databricks Employee
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Weekly Release Notes Recap�� Here’s a quick recap of the latest release notes updates from the past one week. Databricks platform release notes...

Weekly Release Notes Recap Here’s a quick recap of the latest release notes updates from the past one week.Databricks platform release notes December 1-6, 2022Partner Connect supports connecting to AtScale:You can now easily create a connection betwe...

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karthik_p
Esteemed Contributor
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@Uma Maheswara Rao Desula​ if i am not wrong, below ideas portal should help you Ideas Portal | Databricks on AWS

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mghildiy
by • New Contributor
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Checking spark performance locally

I am experimenting with spark, on my local machine. So, is there some tool/api available to check the performance of the code I write?For eg. I write:val startTime = System.nanoTime() invoicesDF .select( count("*").as("Total Number Of Inv...

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Hubert-Dudek
Esteemed Contributor III
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Please check the details about your code (task in jobs) in Spark UI.

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alejandrofm
by • Valued Contributor
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Resolved! Feature request for spark performance tuning

Hi, I don't think there's a place to see this, please correct me if I'm wrong.Now to see performance tuning tips I have to go to spark UI, then to SQL view and on top I could see performance alerts that help me know If I need apply a spark config, co...

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-werners-
Esteemed Contributor III
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I think that can be requested at ideas.databricks.com

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