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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

DB1To3
by • Valued Contributor
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  • 3 replies
  • 3 kudos

Resolved! Excel Add-in Trouble (Confirm Button not Enabled)

Has anyone ever gotten the excel add-in to work on Azure Databricks, for Excel? I created a trusted catalog for the Excel Add-in, I launch the Excel, and activate the add-in, I sign into my workspace, I click the button to connect, I select my SQL wa...

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  • 97 Views
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SumeshKashyap
Valued Contributor II
  • 3 kudos

hi @DB1To3 hope the answer was helpful, I would request you to accept it as solution so that it is useful for other community members  

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Aju_Antony
by • Visitor
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Clarification on use_describe_as_json_for_relation_metadata and system.information_schema dependency

Hi Databricks Support Team,We are evaluating whether dbt can execute successfully without access to system.information_schema in our environment, due to metadata access restrictions.Our current setup uses:dbt-core: 1.12.3dbt-databricks: 1.12.5Configu...

  • 74 Views
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SumeshKashyap
Valued Contributor II
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Hi @Aju_Antony Interesting question!!! Short answer: no flag removes it. In dbt-databricks 1.12.x, relation discovery for Unity Catalog is hardcoded to system.information_schema.tables (the get_uc_tables macro), and use_describe_as_json_for_relation_...

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cdn_yyz_yul
by • Valued Contributor
  • 1407 Views
  • 17 replies
  • 3 kudos

Change data feed from a materialized view

Hi everyone,Trying the CDF on materialized view (declarative pipeline) feature that is currently in Beta.- Configuration:** Verified the MVs (materialized veiws) have: 'delta.enableRowTracking'SHOW TBLPROPERTIES my_mv ('delta.enableRowTracking');  re...

  • 1407 Views
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data_pulse
New Contributor III
  • 3 kudos

I tried reproducing a similar scenario using serverless compute in Databricks Free Edition.I tested enabling pipelines.externalMetadata.enabled=true at the pipeline level, explicitly setting it in the materialized view's TBLPROPERTIES, and also creat...

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ankit2604
by • New Contributor
  • 559 Views
  • 9 replies
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Datavault implemention on Databricks

Hi everyone,I'm building a Data Vault 2.0 architecture entirely natively in Databricks from scratch. We have specifically decided not to use dbt.While Raw Vault ingestion is straightforward with Spark/Delta, I'm looking for architectural advice on co...

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ankit2604
New Contributor
  • 11 kudos

how to handle duplicates(arriving at different time and not in the same batch) when data is ingested from stage/bronze to hubs? LDP/DLT does not support merge operations and what if i have multiple source table ingesting into a single hub. Any though...

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indradbxlearn
by • New Contributor
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Feature Request: Cross-job dependencies with business-date awareness

SummaryWorkflows can chain tasks inside one job, but there is no native way to say: “Run job X once per day, after jobs A, B, C, D and E have each completed successfully for the same business date, even though they are independent jobs with their own...

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Jen_Evangelista
New Contributor
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Hi indradbxlearn, one edge case is worth making explicit in the gate: a successful run that started today is not necessarily a successful run for today’s business date. A backfill for an older date could satisfy a start_time_from=midnight test, while...

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Vamsi3757
by • New Contributor III
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Resolved! Spark Event Logging to DBFS creates only 0-byte .inprogress file

Hi Everyone,I'm trying to capture Spark Event Logs for a Databricks cost optimization solution.I configured my job cluster as follows:spark.eventLog.enabled=truespark.eventLog.dir=dbfs:/databricks/spark-events/The cluster starts successfully and I ca...

  • 197 Views
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SumeshKashyap
Valued Contributor II
  • 3 kudos

Hi @Vamsi3757 - yes, the eventlog/ folder holds the full Spark listener event log, the same JSON-lines stream the Spark UI / History Server is built from: job, stage and task start/end events with task metrics, executor added/removed, SQL execution e...

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harsh120
by • New Contributor II
  • 228 Views
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Table does not support batch scan.

After moving our incremental load jobs from DBR 16.4 (Spark 3.5) to DBR 18 (Spark 4.1.0), they fail with this error: [UNSUPPORTED_FEATURE.TABLE_OPERATION] The feature is not supported: Table `app_dev`.`vw_period` does not support batch scan. Please c...

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harsh120
New Contributor II
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I also asked Databricks Genie about it, and it described this as a likely bug. I know its answers are not reliable, but it suggests the behavior is unexpected.For now we dowgraded to DBR 16.4 

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i4ata
by • New Contributor II
  • 353 Views
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Databricks Connect + AutoDependencies + UDF + Streaming breaks

I have this toy python script:CATALOG = 'mpt_usd_gbl_bronze_dev' # <-- replaceSCHEMA = 'mpt_gbl_tco_fof' # <-- replacesrc=f'{CATALOG}.{SCHEMA}.toy_source'DEST = f'{CATALOG}.{SCHEMA}.toy_dest'from databricks.connect import DatabricksSession, Databrick...

  • 353 Views
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Opheliasterling
New Contributor
  • 2 kudos

Thanks for sharing the detailed reproducer. It looks like separating the AutoDependencies hook error from the serverless UDF dependency limitation is key to troubleshooting this issue. Testing on compatible classic compute seems like a good next step...

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DB1To3
by • Valued Contributor
  • 383 Views
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Resolved! Zerobus Variant Data not Processed as Expected (json data destined for Variant column).

Lets say I have a table receiving zerobus data (json) over HTTP/rest.That last VARIANT is "ValueJson".If I want to submit data to it, I would expect to be able to use normal json formatting:[ { "a": "E", "b": 123, "c": "xy...

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  • 383 Views
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Jen_Evangelista
New Contributor
  • 1 kudos

Agree it feels unnatural, but you can hide it from the remote client with a thin encoding step right before sending, so producers keep working with normal nested JSON.A small helper that encodes only the VARIANT columns:import jsonVARIANT_COLUMNS = {...

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srikanthp24
by • New Contributor III
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About Azure SQL Managed Connector

Hi Community,We are trying to configure a Databricks Lakeflow Connect managed SQL Server connector to ingest data from Azure SQL Database into Databricks.We are using a contained SQL database user that has access only to the specific source database,...

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Jen_Evangelista
New Contributor
  • 0 kudos

Hi srikanthp24, one distinction in the proposed workaround matters: permission to connect across databases and permission to read business tables are different security boundaries.The current Azure Databricks privilege matrix explicitly requires mast...

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rikkyvai
by • New Contributor II
  • 427 Views
  • 1 replies
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from_utc_timestamp silently double-shifts time when session timezone isn't UTC — docs should call th

Summary:from_utc_timestamp(current_timestamp(), '<tz>') produces an incorrect (future-shifted) timestamp whenever the Spark session timezone is already set to something other than UTC. This is a very common pattern for teams stamping dp_load_ts/creat...

  • 427 Views
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Jen_Evangelista
New Contributor
  • 1 kudos

Hi rikkyvai, the audit-timestamp warning is useful. One nuance: with TIMESTAMP_LTZ, current_timestamp() represents an instant; the session timezone changes its display. from_utc_timestamp() shifts the value, rather than just formatting it.A useful ch...

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DB1To3
by • Valued Contributor
  • 766 Views
  • 12 replies
  • 9 kudos

Resolved! Zerobus Ingest with Kafka compliant API and WITHOUT a callback

Is see that kafka for zerobus is still in beta.  So maybe something will change. Can someone tell me whether they are aware of an authentication handshake with this API that might AVOID the callback?Here is the python example, which uses a sophistica...

  • 766 Views
  • 12 replies
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Latest Reply
aayush_410
New Contributor III
  • 9 kudos

I don’t see a way to skip the callback inside the Kafka API itself, but there are workarounds.What the docs say (page updated Oct 1, 2026):OAUTHBEARER is the only auth mechanism. There is no documented anonymous or unauthenticated mode, and I wouldn’...

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Datalight
by • Contributor
  • 2161 Views
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Resolved! Design Oracle Fusion SCM to Azure Databricks

Hello Techie,I am planning to migrate All module of Oracle fusion scm data to Azure Databricks.Do we have only option of BICC (Business Intelligence Cloud Connector), OR any other option avaialble.Can anyone please help me with reference architecture...

  • 2161 Views
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HN_Information
New Contributor
  • 1 kudos

Hi,We currently have a Fusion-to-Data Warehouse architecture using ADW, but we're facing some challenges around cost and performance. We're exploring an alternative approach to remove ADW, ingest the OIC PVO CSV extracts directly into Databricks, and...

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_its_akshaye
by • New Contributor II
  • 957 Views
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How to Track Hourly or Daily # of Upsert/Delete Metrics in a DLT Streaming Pipeline

We created a Delta Live Tables (DLT) streaming pipeline to ingest data from the Bronze layer to the Silver layer using Change Data Feed (CDF) enabled.The stream runs continuously and shows # of upserted and deleted rows at an aggregate level from the...

  • 957 Views
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data_pulse
New Contributor III
  • 1 kudos

Adding to the good suggestions already shared around DLT event logs and CDF, a couple of newer Databricks capabilities may help operationalise this monitoring.1. Lakeflow Pipeline Events system table (Beta)Databricks now provides a centralised system...

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