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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

petitregny
by New Contributor II
  • 2774 Views
  • 5 replies
  • 2 kudos

Reading from an S3 bucket using boto3 on serverless cluster

Hello All,I am trying to read a CSV file from my S3 bucket in a notebook running on serverless.I am using the two standard functions below, but I get a credentials error (Error reading CSV from S3: Unable to locate credentials).I don't have this issu...

  • 2774 Views
  • 5 replies
  • 2 kudos
Latest Reply
Ramana
Valued Contributor
  • 2 kudos

Boto3 with Access/Secret Key worked. I will try the Service Credentials.  If Databricks Documentation is right, Instance Profiles with Serverless should work to establish Boto3 connection, but, unfortunately, setting up instance profiles on Serverles...

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shubham007
by New Contributor III
  • 50 Views
  • 2 replies
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Urgency: Getting Lakebridge installation failed in our organization environment (laptop)

Dear community expert,I’m reaching out for assistance with installing Databricks Lakebridge on my organization laptop. I have confirmed the stated prerequisites are installed: Java 22+, Python 3.11+, and the latest Databricks CLI, but the installer f...

  • 50 Views
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WiliamRosa
Contributor
  • 0 kudos

Additionally, you can check the following documentation and links that I found, which may help you:1) To view the available Python versions and guidance on using a virtual environment (virtualenv or conda):https://www.piwheels.org/project/databricks-...

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DatabricksEngi1
by New Contributor III
  • 38 Views
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MERGE operation not performing data skipping with liquid clustering on key columns

 Hi, I need some help understanding a performance issue.I have a table that reads approximately 800K records every 30 minutes in an incremental manner.Let’s say its primary key is:timestamp, x, y This table is overwritten every 30 minutes and serves ...

  • 38 Views
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bianca_unifeye
New Contributor II
  • 0 kudos

MERGE is not a pure read plus filter operationEven though Liquid Clustering organizes your data by key ranges and writes min/max stats, the MERGE engine has to identify both matches and non-matches.That means the query planner must:Scan all candidate...

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lecarusin
by New Contributor
  • 57 Views
  • 4 replies
  • 1 kudos

Help regarding a python notebook and s3 file structure

Hello all, I am new to this forum, so please forgive if I am posting in the wrong location (I'd appreciate if the post is moved by mods or am told where to post).I am looking for help with an optimization of a python code I have. This python notebook...

  • 57 Views
  • 4 replies
  • 1 kudos
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arunpalanoor
New Contributor II
  • 1 kudos

I am not sure if I fully understand how your data pipeline is setup, but have you considered incremental data loading say using something similar to "COPY INTO" method which would only read your incremental load, and then apply a 90 day filter on top...

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shubham007
by New Contributor III
  • 38 Views
  • 1 replies
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Urgency: How to do Data Migration task using Databricks Lakebridge tool ?

Dear community expert,I have completed two phases Analyzer & Converter of Databricks Lakebridge but stuck at migrating data from source to target using lakebridge. I have watched BrickBites Series on Lakebridge but did not find on how to migrate data...

  • 38 Views
  • 1 replies
  • 0 kudos
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bianca_unifeye
New Contributor II
  • 0 kudos

Lakebridge doesn’t copy data. It covers Assessment → Conversion (Analyzer/Converter) → Reconciliation.The fastest way is to use Lakehouse Federation. Create a Snowflake connection in Unity Catalog and run federated queries from Databricks. For perman...

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Akshay_Petkar
by Valued Contributor
  • 45 Views
  • 1 replies
  • 0 kudos

Advanced Data Engineering Event and Free Certification Voucher

Hi everyone,In the past couple of years, Databricks has organized an Advanced Data Engineering event where attendees received a 100% free certification voucher under their organization account after attending the session.I wanted to check if this eve...

  • 45 Views
  • 1 replies
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Latest Reply
bianca_unifeye
New Contributor II
  • 0 kudos

I’m only aware of the Databricks Learning Festival, which typically offers a 50% discount voucher for certification, rather than a full-voucher.I couldn’t find any official confirmation of a 100% free voucher for an “Advanced Data Engineering” event ...

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cdn_yyz_yul
by New Contributor II
  • 18 Views
  • 1 replies
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delta as streaming source, can the reader reads only newly appended rows?

Hello everyone,In our implementation of Medallion Architecture, we want to stream changes with spark structured streaming. I would like some advice on how to use delta table as source correctly, and if there is performance (memory usage) concern in t...

  • 18 Views
  • 1 replies
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Latest Reply
bianca_unifeye
New Contributor II
  • 0 kudos

First of all, you are using append-only reads, which means that every time your stream triggers, Spark will process the entire Delta snapshot rather than just the changes.That’s why you’re observing the memory usage increase after each run, it’s not ...

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vikram_p
by Visitor
  • 17 Views
  • 1 replies
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Generate embeddings for 50 million rows in dataframe

Hello All,I have dataframe with 5 million rows and before we can setup vector search endpoint against index, we want to generate embeddings column for each of those rows. Please suggest whats an optimal way to do this?We are in development phase so w...

  • 17 Views
  • 1 replies
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Latest Reply
bianca_unifeye
New Contributor II
  • 0 kudos

The easiest and most reliable way to generate embeddings for millions of rows is to let Databricks Vector Search compute them automatically during synchronization from a Delta table.Vector Search can generate embeddings for you, keep them updated whe...

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Divya_Bhadauria
by New Contributor III
  • 22 Views
  • 1 replies
  • 0 kudos

Does Databricks Runtime 7.3+ include built-in Hadoop S3 connector configurations?

I came across the KB article S3 connection reset error, which mentions not using the following Spark settings for the Hadoop S3 connector for DBR 7.3 and above:spark.hadoop.fs.s3.impl com.databricks.s3a.S3AFileSystem spark.hadoop.fs.s3n.impl com.data...

  • 22 Views
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hasnat_unifeye
  • 0 kudos

No, you don’t need to set those on DBR 7.3 and above.From 7.3+ Databricks already uses the newer Hadoop S3A connector by default, so those com.databricks.s3a.S3AFileSystem settings are not part of the default config and shouldn’t be added.If they are...

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ShivangiB1
by New Contributor III
  • 29 Views
  • 1 replies
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DATABRICKS LAKEFLOW SQL SERVER INGESTION PIPELINE ERROR

Hey Team,I am getting below error while creating pipeline :com.databricks.pipelines.execution.extensions.managedingestion.errors.ManagedIngestionNonRetryableException: [INGESTION_GATEWAY_DDL_OBJECTS_MISSING] DDL objects missing on table 'coedb.dbo.so...

  • 29 Views
  • 1 replies
  • 0 kudos
Latest Reply
ShivangiB1
New Contributor III
  • 0 kudos

Hey Team, can anyone help on this

  • 0 kudos
Surya-Prathap
by New Contributor
  • 80 Views
  • 2 replies
  • 1 kudos

Output Not Displaying in Databricks Notebook on All-Purpose Compute Cluster

Hello All,I’m encountering an issue where output from standard Python commands such as print() or display(df) is not showing up correctly when running notebooks on an All-Purpose Compute cluster.Cluster DetailsCluster Type: All-Purpose ComputeRuntime...

  • 80 Views
  • 2 replies
  • 1 kudos
Latest Reply
Sahil_Kumar
Databricks Employee
  • 1 kudos

Hi Surya, Do you face this issue only with DBR 17.3 all-purpose clusters? Did you try with lower DBRs? If not, please try and let me know. Also, from the Run menu, try “Clear state and outputs,” then re‑run the cell on the same cluster to rule out st...

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spd_dat
by New Contributor III
  • 3543 Views
  • 2 replies
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Can you default to `execution-count: none` when stripping notebook outputs?

When committing to a git folder, IPYNB outputs are usually stripped, unless allowed by an admin setting and toggled by .databricks/commit_outputs. This sets the{"execution-count": 0, ... }within the IPYNB metadata. Is there a way to set it instead to...

  • 3543 Views
  • 2 replies
  • 0 kudos
Latest Reply
mark_ott
Databricks Employee
  • 0 kudos

Databricks does not currently allow you to default to "execution_count": null (or "none") when stripping notebook outputs during a commit. The platform sets "execution_count": 0 as the default when outputs are stripped through their Git integration, ...

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pooja_bhumandla
by New Contributor III
  • 231 Views
  • 2 replies
  • 1 kudos

When to Use and when Not to Use Liquid Clustering?

 Hi everyone,I’m looking for some practical guidance and experiences around when to choose Liquid Clustering versus sticking with traditional partitioning + Z-ordering.From what I’ve gathered so far:For small tables (<10TB), Liquid Clustering gives s...

  • 231 Views
  • 2 replies
  • 1 kudos
Latest Reply
mark_ott
Databricks Employee
  • 1 kudos

Deciding between Liquid Clustering and traditional partitioning with Z-ordering depends on table size, query patterns, number of clustering columns, and file optimization needs. For tables under 10TB with queries consistently filtered on 1–2 columns,...

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