- 1329 Views
- 3 replies
- 1 kudos
ABAC tag support for for Streaming tables (Spark Lakeflow Declarative Pipelines)?
Hi!We're using Spark Lakeflow Declarative Pipelines for ingesting data from various data sources. However, in order to achieve compliance with GDPR, we are planning to start using ABAC tagging.However, I don't understand how we are supposed to use th...
- 1329 Views
- 3 replies
- 1 kudos
- 1 kudos
Correction. Trying this will result in this error> ABAC policies are not supported on tables defined within a pipeline. Remove the policies or contact Databricks support.So it isn't supported
- 1 kudos
- 3382 Views
- 2 replies
- 2 kudos
Error: oidc: fetch .well-known: Get "https://%E2%80%93host/oidc/.well-known/oauth-authorization-serv
I'm trying to authenticate databricks using WSL but suddenly getting this error./databricks-asset-bundle$ databricks auth login –host https://<XXXXXXXXX>.12.azuredatabricks.netDatabricks Profile Name:<XXXXXXXXX>Error: oidc: fetch .well-known: Get "ht...
- 3382 Views
- 2 replies
- 2 kudos
- 2 kudos
Great, these are amazing resources! I'm using them to test my IAM apps and flow.
- 2 kudos
- 824 Views
- 1 replies
- 2 kudos
Decision Tree for Selecting the Right VM Types in Databricks – Looking for Feedback & Improvements!
Hi everyone,I’ve been working on an updated VM selection decision tree for Azure Databricks, designed to help teams quickly identify the most suitable worker types based on workload behavior. I’m sharing the latest version (In this updated version I’...
- 824 Views
- 1 replies
- 2 kudos
- 2 kudos
Hi saicharandeepb, You can enrich your chart by adding GPU-accelerated VMs. For computationally challenging tasks that demand high performance, like those associated with deep learning, Azure Databricks supports compute resources that are accelerated...
- 2 kudos
- 1447 Views
- 4 replies
- 1 kudos
Troubleshooting Azure Databricks Cluster Pools & spot_bid_max_price Validation Error
Hope you’re doing well!I’m reaching out for some guidance on an issue I’ve encountered while setting up Azure Databricks Cluster Pools to reduce cluster spin-up and scale times for our jobs.Background:To optimize job execution wait times, I’ve create...
- 1447 Views
- 4 replies
- 1 kudos
- 1 kudos
Possible reasons:1. Setting spot_bid_max_price = -1 is not accepted by Azure poolsAzure Databricks only accepts:0 → on-demand onlypositive numbers → max spot price-1 is allowed in cluster policies, but not inside pools, so validation never completes....
- 1 kudos
- 472 Views
- 1 replies
- 0 kudos
Can't create a new ETL because of compute (?)
I just create a databricks workspace with GCP with "Use existing cloud account (Storage & compute)" option. I already add a few cluster for my task but when i try to create ETL, i always get this error notification. The file is created on the specifi...
- 472 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @molopocho We need to enable the feature in the workspace. If you don't see the option, then you need to reach out to the accounts team or create a ticket to databricks support team t get it enabled at the workspace level.
- 0 kudos
- 4146 Views
- 1 replies
- 1 kudos
Resolved! Best Practices for Optimizing Databricks Costs in Production Workloads?
Hi everyone,I'm working on optimizing Databricks costs for a production-grade data pipeline (Spark + Delta Lake) on Azure. I’m looking for practical, field-tested strategies to reduce compute and storage spend without impacting performance.So far, I’...
- 4146 Views
- 1 replies
- 1 kudos
- 1 kudos
Hello @Poorva21 , Below are the answers to your questions: Q1. What are the most impactful cost optimisations for production pipelines? I have worked with multiple Cx and based on my knowledge, below are a high-level optimisations one must have: The ...
- 1 kudos
- 1118 Views
- 4 replies
- 1 kudos
Resolved! Why is spark creating 5 jobs and 200 tasks?
I am trying to read 1000 small csv files each 30 kb size which are stored in databricks volume. Below is the query i am doing:df=spark.read.csv.options(header=true).load('/path')df.collect() Why is it creating 5 jobs? Why 1-3 jobs have 200 tasks,4 ha...
- 1118 Views
- 4 replies
- 1 kudos
- 1 kudos
@mordex - yes, Spark caps the parallelism for file listing at 200 tasks, regardless of whether you have 1,000 or 10,000 files. it is controlled by spark.sql.sources.parallelPartitionDiscovery.parallelism. Run below command to get value of it. spark.c...
- 1 kudos
- 762 Views
- 2 replies
- 0 kudos
Declarative Pipeline Re-Deployment and existing managed tables exception
Hi,I am facing a issue regarding re deployment of declarative pipeline using asset bundle. On first deployment, I am able to run the pipeline successfully. On execution, pipeline, as expected create tables. However, when I try to re-deploy the pipeli...
- 762 Views
- 2 replies
- 0 kudos
- 0 kudos
Managed tables are “owned” by a DLT pipeline. Re-deploying a pipeline that references the same managed tables will fail unless you either:Drop the existing tables firstUse external tables that are not owned by DLTUse a separate development schema/pip...
- 0 kudos
- 24847 Views
- 5 replies
- 6 kudos
What is the difference between OPTIMIZE and Auto Optimize?
I see that Delta Lake has an OPTIMIZE command and also table properties for Auto Optimize. What are the differences between these and when should I use one over the other?
- 24847 Views
- 5 replies
- 6 kudos
- 6 kudos
Auto Optimize = automatically reduces small files during writes. Best for ongoing ETL.OPTIMIZE = manual compaction + Z-ORDER for improving performance on existing data.They are complementary, not competing. Most teams use Auto Optimize for daily inge...
- 6 kudos
- 2691 Views
- 5 replies
- 7 kudos
Resolved! Row tracking in Delta tables
What exactly is row tracking and why should we use it for our delta tables? Could you explain with an example how it works internally and is it mandatory to use?
- 2691 Views
- 5 replies
- 7 kudos
- 7 kudos
Row tracking gives each Delta row a stable internal ID, so Delta can track inserts/updates/deletes across table versions—even when files are rewritten or compacted.Suppose we have a Delta table:id value 1A2BWhen row tracking is enabled, Delta Lake st...
- 7 kudos
- 1245 Views
- 1 replies
- 1 kudos
Resolved! mongodb connector duplicate writes
Hi everyone,Has anyone run into this issue? I’m using the MongoDB Spark Connector on Databricks to expose data from Delta Lake to MongoDB. My workflow is:overwrite the collection (very fast),then create the indexes.Occasionally, I’m seeing duplicates...
- 1245 Views
- 1 replies
- 1 kudos
- 1 kudos
Hi Aziz,What you’re seeing is an expected behaviour when combining Spark retries with non-idempotent writes.Spark’s write path is task-based and fault-tolerant. If a task fails part-way through writing to MongoDB, Spark will retry that task.From Spar...
- 1 kudos
- 2429 Views
- 3 replies
- 2 kudos
AI
At Chevron we actively use Databricks to provide answers to business users. It was extremely interesting to see the use LakeHouseIQ initiatives as it can expedite how fast our users can receive their answers/reports. Is there any documentation that I...
- 2429 Views
- 3 replies
- 2 kudos
- 2 kudos
Guys, this thread was created in 2023. And the user who created it was last seen in 2023. I think there’s no point in resurrecting this thread
- 2 kudos
- 1647 Views
- 4 replies
- 1 kudos
"ai_parse_document()" is not a full OCR engine ? It's not extracting text from high quality image
I used "ai_parse_document()" to parse a PNG file that contains cat images and text. From the image, I wanted to extract all the cat names, but the response returned nothing. It seems that "ai_parse_document()" does not support rich image extraction....
- 1647 Views
- 4 replies
- 1 kudos
- 1 kudos
@szymon_dybczak - yes, as it relies on AI models, there are chances of missing few cases due to non-deterministic nature of it. I have used it with vast number of PDFs in anger and it has worked pretty well in all those cases. Have not tried with PNG...
- 1 kudos
- 17057 Views
- 5 replies
- 8 kudos
Resolved! Monitoring Azure Databricks in an Azure Log Analytics Workspace
Does anyone have experience with the mspnp/spark-monitoring library ?Is this best practice, or are there better ways to monitor a Databricks Cluster?
- 17057 Views
- 5 replies
- 8 kudos
- 8 kudos
Interesting that Microsoft deleted this project. Was there any announcement as to when, why, and what to do now?
- 8 kudos
- 4057 Views
- 4 replies
- 1 kudos
Resolved! Issue with Logging Spark Events to LogAnalytics after Upgrading to Databricks 11.3 LTS
We have recently been in the process of upgrading our Databricks clusters to version 11.3 LTS. As part of this upgrade, we have been working on integrating the logging of Spark events to LogAnalytics using the repository available at https://github.c...
- 4057 Views
- 4 replies
- 1 kudos
- 1 kudos
Anyone knows why was this repository deleted?https://github.com/mspnp/spark-monitoring
- 1 kudos
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