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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

Gopal269673
by Contributor
  • 5668 Views
  • 11 replies
  • 8 kudos

Resolved! Facing issues in running the converted code in spark sql framework with 5 to 10 percent volume of prod data. Need help in solving this and suggestions required.

Hi All.. Need your help in this issue what i am facing. Currently we are using data bricks as a platform to build pipeline and execute our talend ETL sqls converted into the spark sql framework as we were facing issues in loading the history data int...

  • 5668 Views
  • 11 replies
  • 8 kudos
Latest Reply
Gopal269673
Contributor
  • 8 kudos

@All Users Group​  Metrics stats also attached here.Thanks.

  • 8 kudos
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Osky_Rosky
by New Contributor II
  • 11932 Views
  • 2 replies
  • 0 kudos

Combine Python + R in data manipulation in Databricks Notebook

Want to combine Py + Rfrom pyspark.sql import SparkSessionspark = SparkSession.builder.appName("CreateDataFrame").getOrCreate()# Create a sample DataFramedata = [("Alice", 25), ("Bob", 30), ("Charlie", 35), ("Oscar",36), ("Hiromi",41), ("Alejandro", ...

  • 11932 Views
  • 2 replies
  • 0 kudos
Latest Reply
Anonymous
Not applicable
  • 0 kudos

@Oscar CENTENO MORA​ :To combine Py and R in a Databricks notebook, you can use the magics command %python and %rto switch between Python and R cells. Here's an example of how to create a Spark DataFrame in Python and then use it in R:from pyspark.sq...

  • 0 kudos
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Phani1
by Valued Contributor II
  • 2126 Views
  • 3 replies
  • 0 kudos

Performance issue while loading bulk data into Post Gress DB from data bricks.

We are facing a performance issue while loading bulk data into Postgress DB from data bricks. We are using spark JDBC connections to move the data. However, the rate of transfer is very low which is causing performance bottleneck. is there any better...

  • 2126 Views
  • 3 replies
  • 0 kudos
Latest Reply
User16502773013
Databricks Employee
  • 0 kudos

Hello @Janga Reddy​ @Daniel Sahal​ and @Vidula Khanna​ ,To enhance performance in general we need to design for more parallelism, in Spark JDBC context this controlled by the number of partitions for the data to be writtenThe example here shows how t...

  • 0 kudos
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Avvar2022
by Contributor
  • 3623 Views
  • 2 replies
  • 2 kudos

Resolved! I am new to data bricks. setting up Workspace for NON-prod environment Separate workspaces for DEV, QA or Just one work space for NON-prod ?

What i learned based on learning materials, documents, etc.. For data bricks it is a good practice to set up 1 non-prod workspace but separate clusters for Dev, QA, SIT, etc.Is it best practice to set up only 1 NON-PROD Workspace instead of separate ...

Databricks non-prod workspace set up options
  • 3623 Views
  • 2 replies
  • 2 kudos
Latest Reply
Avvar2022
Contributor
  • 2 kudos

Thank you. This helps.

  • 2 kudos
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Hubert-Dudek
by Esteemed Contributor III
  • 1763 Views
  • 1 replies
  • 6 kudos

Exciting news for #azure users! The #databricks runtime 12.2 has been officially released as a long-term support (LTS) version, providing a stable and...

Exciting news for #azure users! The #databricks runtime 12.2 has been officially released as a long-term support (LTS) version, providing a stable and reliable platform for users to build and deploy their applications. As part of this release, the en...

122
  • 1763 Views
  • 1 replies
  • 6 kudos
Latest Reply
jose_gonzalez
Databricks Employee
  • 6 kudos

Thank you for sharing @Hubert Dudek​ !!!

  • 6 kudos
Hubert-Dudek
by Esteemed Contributor III
  • 1904 Views
  • 1 replies
  • 7 kudos

Starting from #databricks 12.2 LTS, the explode function can be used in the FROM statement to manipulate data in new and powerful ways. This function ...

Starting from #databricks 12.2 LTS, the explode function can be used in the FROM statement to manipulate data in new and powerful ways. This function takes an array column as input and returns a new row for each element in the array, offering new pos...

ezgif-3-f42040b788
  • 1904 Views
  • 1 replies
  • 7 kudos
Latest Reply
jose_gonzalez
Databricks Employee
  • 7 kudos

Thank you for sharing @Hubert Dudek​ 

  • 7 kudos
Lu_Wang_SA_DBX
by Databricks Employee
  • 7866 Views
  • 1 replies
  • 3 kudos

We will host the first Databricks Bay Area User Group meeting in the Databricks Mountain View office on March 14 2:45-5:00 pm PT.We'll have Dave M...

We will host the first Databricks Bay Area User Group meeting in the Databricks Mountain View office on March 14 2:45-5:00 pm PT.We'll have Dave Mariani - CTO & Founder at AtScale, and Riley Phillips - Enterprise Solution Engineer at Matillion to sha...

David Mariana - CTO, AtScale Riley Phillips - Enterprise Solution Engineer, Matillion
  • 7866 Views
  • 1 replies
  • 3 kudos
Latest Reply
amitabharora
Databricks Employee
  • 3 kudos

Looking forward.

  • 3 kudos
andrcami1990
by New Contributor II
  • 7865 Views
  • 2 replies
  • 2 kudos

Resolved! Connect GraphQL to Data Bricks

Hi I am new to Databricks however I need to expose data found in the delta lake directly to GraphQL to be queried by several applications. Is there a connector or something similar to GraphQL that works with Databricks?

  • 7865 Views
  • 2 replies
  • 2 kudos
Latest Reply
Anonymous
Not applicable
  • 2 kudos

Hi @Andrew Camilleri​ Thank you for your question! To assist you better, please take a moment to review the answer and let me know if it best fits your needs.Please help us select the best solution by clicking on "Select As Best" if it does.Your feed...

  • 2 kudos
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Hubert-Dudek
by Esteemed Contributor III
  • 1284 Views
  • 1 replies
  • 5 kudos

Starting from #databricks runtime 12.2 LTS, implicit lateral column aliasing is now supported. This feature enables you to reuse an expression defined...

Starting from #databricks runtime 12.2 LTS, implicit lateral column aliasing is now supported. This feature enables you to reuse an expression defined earlier in the same SELECT list, thus avoiding repetition of the same calculation.For instance, in ...

ezgif-3-d3fac0139c
  • 1284 Views
  • 1 replies
  • 5 kudos
Latest Reply
Anonymous
Not applicable
  • 5 kudos

Thanks for sharing this with the Databricks community.

  • 5 kudos
Rishabh-Pandey
by Esteemed Contributor
  • 1783 Views
  • 2 replies
  • 5 kudos

"Hey everyone, it seems like there's some confusion about enhanced autoscaling in Databricks lately. If you're feeling lost or unsure abo...

"Hey everyone, it seems like there's some confusion about enhanced autoscaling in Databricks lately. If you're feeling lost or unsure about how it works, don't worry - you're not"Enhanced autoscaling is a feature in Databricks that enables dynamic sc...

  • 1783 Views
  • 2 replies
  • 5 kudos
Latest Reply
Ajay-Pandey
Esteemed Contributor III
  • 5 kudos

Very informativeThanks for sharing!

  • 5 kudos
1 More Replies
Mado
by Valued Contributor II
  • 4674 Views
  • 2 replies
  • 0 kudos

Overwriting the existing table in Databricks; Mechanism and History?

Hi,Assume that I have a delta table stored on an Azure storage account. When new records arrive, I repeat the transformation and overwrite the existing table. (DF.write   .format("delta")   .mode("overwrite")   .option("...

  • 4674 Views
  • 2 replies
  • 0 kudos
Latest Reply
-werners-
Esteemed Contributor III
  • 0 kudos

the overwrite will add new files, keep the old ones and in a log keeps track of what is current data and what is old data.If the overwrite fails, you will get an error message in the spark program, and the data to be overwritten will still be the cur...

  • 0 kudos
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Lu_Wang_SA_DBX
by Databricks Employee
  • 1232 Views
  • 0 replies
  • 2 kudos

We will host the first Databricks Bay Area User Group meeting in the Databricks Mountain View office on March 14 2:30-5:00pm PT.We'll have Dave Ma...

We will host the first Databricks Bay Area User Group meeting in the Databricks Mountain View office on March 14 2:30-5:00pm PT.We'll have Dave Mariani - CTO & Founder at AtScale, and Riley Phillips - Enterprise Solution Engineer at Matillion to shar...

  • 1232 Views
  • 0 replies
  • 2 kudos
Hubert-Dudek
by Esteemed Contributor III
  • 1063 Views
  • 1 replies
  • 5 kudos

Exciting news for Databricks users! #databricks launched a new feature that allows users to run job workflows continuously. Setting up a continuous jo...

Exciting news for Databricks users! #databricks launched a new feature that allows users to run job workflows continuously. Setting up a continuous job workflow is straightforward: create a job and select the continuous trigger option in the scheduli...

ezgif-1-1c3322d3f9
  • 1063 Views
  • 1 replies
  • 5 kudos
Latest Reply
jose_gonzalez
Databricks Employee
  • 5 kudos

Thank you for sharing!!!

  • 5 kudos
Hubert-Dudek
by Esteemed Contributor III
  • 1341 Views
  • 0 replies
  • 5 kudos

Exciting news for #azure users! The #databricks runtime 12.2 has been officially released as a long-term support (LTS) version, providing a stable and...

Exciting news for #azure users! The #databricks runtime 12.2 has been officially released as a long-term support (LTS) version, providing a stable and reliable platform for users to build and deploy their applications. As part of this release, the en...

122
  • 1341 Views
  • 0 replies
  • 5 kudos
Hubert-Dudek
by Esteemed Contributor III
  • 2408 Views
  • 3 replies
  • 7 kudos

Starting from #databricks runtime 12.2 LTS, implicit lateral column aliasing is now supported. This feature enables you to reuse an expression defined...

Starting from #databricks runtime 12.2 LTS, implicit lateral column aliasing is now supported. This feature enables you to reuse an expression defined earlier in the same SELECT list, thus avoiding repetition of the same calculation.For instance, in ...

ezgif-3-d3fac0139c
  • 2408 Views
  • 3 replies
  • 7 kudos
Latest Reply
Ajay-Pandey
Esteemed Contributor III
  • 7 kudos

Informative Thanks for sharing.

  • 7 kudos
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