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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

raghvendrarm1
by New Contributor
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Results from the spark application to driver

I tried to read many articles but still not clear on this:The executors complete the execution of tasks and have the results with them.1. The results(output data) from all executors is transported to driver in all cases or executors persist it if tha...

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K_Anudeep
Databricks Employee
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Hello @raghvendrarm1  ,   Below are the answers to your questions: Do executors always send “results” to the driver? No. Only actions that return values (e.g., collect, take, first, count) bring data back to the driver. collect explicitly “returns al...

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DatabricksEngi1
by New Contributor III
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Problem in VS Code Extention

Until a few days ago, I was working with Databricks Connect using the VS Code extension, and everything worked perfectly.In my .databrickscfg file, I had authentication configured like this:  [name]host:token: When I ran my code, everything worked fi...

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K_Anudeep
Databricks Employee
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Hello @DatabricksEngi1 , What's the DBR version and DB connect version you are using? CONNECT_URL_NOT_SET occurs when creating a Spark Connect session without specifying the connect URL. I think you have fallen into DB Connect’s config-resolution rul...

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pranaav93
by New Contributor II
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TransformWithState is not emitting for live streams

Hi Team, For one of my custom logics i went with transformwithState processor. However it is not working for live stream inputs., I have a start date filter on my df_base and when I give start date that is not current, the processor computes df_loss ...

Data Engineering
apachespark
pyspark
StatefulStreaming
StructuredStreaming
transformWithState
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Saf4Databricks
by New Contributor III
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Cannot import pyspark.pipelines module

Question: What could be a cause of the following error of my code in a Databricks notebook, and how can we fix the error? I'm using latest Free Edition of Databricks that has runtime version 17.2 and PySpark version 4.0.0.Error:ImportError: cannot im...

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dkushari
Databricks Employee
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Hi @Saf4Databricks - Are you trying to use it from a standalone Databricks notebook? You should only use it from with Lakeflow Declarative Pipeline (LDP). The link you shared is about LDP. Here is an example where I used it.    

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TalessRocha
by New Contributor II
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  • 10 replies
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Resolved! Connect to azure data lake storage using databricks free edition

Hello guys, i'm using databricks free edition (serverless) and i am trying to connect to a azure data lake storage.The problem I'm having is that in the free edition we can't configure the cluster so I tried to make the connection via notebook using ...

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BS_THE_ANALYST
Esteemed Contributor II
  • 8 kudos

@TalessRocha thanks for getting back to us! Glad to hear you got it working, that's awesome. Best of luck with your projects.All the best,BS

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maninegi05
by New Contributor
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DLT Pipeline Stopped working

Hello, Suddenly our DLT pipelines we're getting failures saying thatLookupError: Traceback (most recent call last): result_df = result_df.withColumn("input_file_path", col("_metadata.file_path")).withColumn( ...

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Khaja_Zaffer
Contributor III
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 May be there is internally some updates from databricks Can Check and Switch Your Pipeline Channel, In the DLT pipeline settings (under Advanced > Channel), confirm if it's set to "Preview". Switch to "Current" for a more stable engine version, then...

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Malthe
by Contributor II
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Resolved! Can't enable "variantType-preview" using DLTs

Using create_streaming_table and passing table properties as follows, I get an error running the pipeline for the first time:> Your table schema requires manually enablement of the following table feature(s): variantType-preview.I'm using this code:c...

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Malthe
Contributor II
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There's a workaround available in most situations which is to first create the table without the VARIANT column, run the pipeline at least once, and then add the column in a subsequent refresh.

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Upendra_Dwivedi
by Contributor
  • 2472 Views
  • 1 replies
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Databricks APP OBO User Authorization

Hi All,We are using on-behalf of user authorization method for our app and the x-forwarded-access-token is expiring after sometime and we have to redeploy our app to rectify the issue. I am not sure what is the issue or how we can keep the token aliv...

Upendra_Dwivedi_0-1747911721728.png
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Latest Reply
jamesl
Databricks Employee
  • 1 kudos

Hi @Upendra_Dwivedi , are you still facing this issue? The x-forwarded-access-token your app receives is the current user’s access token that Databricks forwards in HTTP headers for on‑behalf‑of‑user access. You should read it from the request on eac...

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Mous92i
by New Contributor
  • 191 Views
  • 3 replies
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Resolved! Liquid Clustering With Merge

Hello I’m facing severe performance issues with a  merge into databricksmerge_condition = """ source.data_hierarchy = target.data_hierarchy AND source.sensor_id = target.sensor_id AND source.timestamp = target.timestamp """The target Delt...

  • 191 Views
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Latest Reply
Mous92i
New Contributor
  • 2 kudos

Thanks for your response

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databricksero
by New Contributor
  • 358 Views
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DLT pipeline fails with “can not infer schema from empty dataset” — works fine when run manually

Hi everyone,I’m running into an issue with a Delta Live Tables (DLT) pipeline that processes a few transformation layers (raw → intermediate → primary → feature).When I trigger the entire pipeline, it fails with the following error:can not infer sche...

  • 358 Views
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ManojkMohan
Honored Contributor
  • 3 kudos

@databricksero  Explicit Schema Definition: When calling spark.createDataFrame(pdf_cleaned), explicitly provide the schema even if the DataFrame is empty. This helps Spark infer the types and prevents the “cannot infer schema from empty dataset” erro...

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deng_dev
by New Contributor III
  • 11259 Views
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py4j.protocol.Py4JJavaError: An error occurred while calling o359.sql. : java.util.NoSuchElementExce

Hi!We are creating table in streaming job every micro-batch using spark.sql('create or replace table ... using delta as ...') command. This query includes combining data from multiple tables.Sometimes our job fails with error:py4j.Py4JException: An e...

  • 11259 Views
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sahilchavan
New Contributor II
  • 0 kudos

Hi @deng_dev ,Did you discover any way to raise this error gracefully? I'm facing the same error when running the kinesis stream. Although I'm aware of what the error is but my intent is to raise and log the error gracefully 

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Brahmareddy
by Esteemed Contributor
  • 146 Views
  • 1 replies
  • 4 kudos

I Tried Teaching Databricks About Itself — Here’s What Happened

Hi All, How are you doing today?I wanted to share something interesting from my recent Databricks work — I’ve been playing around with an idea I call “Real-Time Metadata Intelligence.” Most of us focus on optimizing data pipelines, query performance,...

  • 146 Views
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Latest Reply
ruicarvalho_de
New Contributor II
  • 4 kudos

I like the core idea. You are mining signals the platform already emits.I would start rules first, track small files ratio and average file size trend, watch skew per partition and shuffle bytes per input gigabyte. Compare job time to input size to c...

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Bhavana_Y
by New Contributor
  • 80 Views
  • 1 replies
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Learning Path for Spark Developer Associate

Hello Everyone,Happy for being a part of Virtual Journey !!Enrolled in Associate Spark Developer and completed learning path in Databricks Academy. Can anyone please confirm is completing learning path enough for obtaining 50% off voucher for certifi...

Screenshot (15).png
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Advika
Databricks Employee
  • 1 kudos

Hello @Bhavana_Y! To be eligible for the incentives, you’ll need to complete one of the pathways mentioned in the Learning Festival post. Based on your screenshot, it looks like you’ve completed all four modules of LEARNING PATHWAY 7: APACHE SPARK DE...

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donlxz
by New Contributor III
  • 201 Views
  • 4 replies
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Resolved! deadlock occurs with use statement

When issuing a query from Informatica using a Delta connection, the statement use catalog_name.schema_name is executed first. At that time, the following error appeared in the query history:Query could not be scheduled: (conn=5073499)Deadlock found w...

  • 201 Views
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Latest Reply
donlxz
New Contributor III
  • 3 kudos

I’ll try making adjustments on the Informatica side.Thank you for your help.

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