- 988 Views
- 2 replies
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Unable to access unity catalog volume via /Volumes in notebook
I have set up a volume in unity catalog in the format catalog/schema/volume, and granted all permissions to all users on the catalog, schema and volume.From the notebook I can see the /Volumes directory in the root of the file system but am unable to...
- 988 Views
- 2 replies
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Thanks for your comments. The problem turned out to be the compute resource not having unity catalog enabled.
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- 627 Views
- 2 replies
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SparkR or sparklyr not showing history
Hi,for some reason Azure Databricks doesn't show History if the data is saved with SparkR (2 in the figure below) or Sparklyr (3), but it does show it with Data Ingestion (0) or with PySpark (1). Is this a known bug or am I doing something wrong? Is ...
- 627 Views
- 2 replies
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Hi @Sagas, Let’s address your questions regarding Azure Databricks, SparkR, and Sparklyr. History in Azure Databricks: Each operation that modifies a Delta Lake table creates a new table version. You can use history information to audit operation...
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- 2574 Views
- 2 replies
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connect timed out error - Connecting to SQL Server from Databricks
I am getting a connect timed out error when attempting to access a sql server. I can successfully ping the server from Databricks. I have used the jdbc connection and the sqlserver included driver and both result in the same error. I have also attemp...
- 2574 Views
- 2 replies
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Can you run the following command in a notebook using the same cluster you are using to connect:%sh nc -vz <hostname> <port> This test will confirm us if we are able to communicate with the SQL server by using the port you are defining to connect. If...
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- 488 Views
- 1 replies
- 1 kudos
Job cluster configuration for 24/7
Hi Team,We intend to activate the job cluster around the clock. We consider the following parameters regarding cost: - Data volumes - Client SLA for job completion- Starting with a small cluster configuration Please advise on any other options we s...
- 488 Views
- 1 replies
- 1 kudos
- 1 kudos
Hi @Phani1, When configuring a job cluster for 24/7 operation, it’s essential to consider cost, performance, and scalability. Here are some recommendations based on your specified parameters: Data Volumes: Analyze your data volumes carefully. If...
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- 1596 Views
- 3 replies
- 3 kudos
Resolved! SparkContext lost when running %sh script.py
I need to execute a .py file in Databricks from a notebook (with arguments which for simplicity i exclude here). For this i am using:%sh script.pyscript.py:from pyspark import SparkContext def main(): sc = SparkContext.getOrCreate() print(sc...
- 1596 Views
- 3 replies
- 3 kudos
- 3 kudos
I got it eventually working with a combination of:from databricks.sdk.runtime import *spark.sparkContext.addPyFile("/path/to/your/file")sys.path.append("path/to/your")
- 3 kudos
- 1341 Views
- 3 replies
- 1 kudos
Machine Type for VACUUM operation
Dear allI have a workflow with 2 tasks : one that does OPTIMIZE, followed by one that does VACUUM. I used a cluster with F32s driver and F64s - 8 workers (auto-scaling enabled). All 8 workers are launched by Databricks as soon as OPTIMIZE starts. As ...
- 1341 Views
- 3 replies
- 1 kudos
- 843 Views
- 2 replies
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How to migrate Git repos with DLT configurations
Hi!I want to migrate all my databricks related code from one github repo to another. I knew this wouldn't be straight forward. When I copy my code for one DLT, I get the errororg.apache.spark.sql.catalyst.ExtendedAnalysisException: Table 'vessel_batt...
- 843 Views
- 2 replies
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Does cloning take considerably less time then recreating the tables?Can I resume append operations to a cloned table?
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- 578 Views
- 1 replies
- 1 kudos
Masking rules with Delta Sharing
Hi,We tried Delta sharing to PBI which worked fine, But facing issues while trying to apply row, column level filtering or data masking. It fails with error that its not supported.Can anyone please confirm, if delta sharing with masking rules works w...
- 578 Views
- 1 replies
- 1 kudos
- 1 kudos
Hi @Anshul_DBX good day! The issue you are encountering is due to a limitation in Delta Sharing. As per the provided information, Delta Sharing does not support row-level security or column masks. This means that you cannot apply row and column level...
- 1 kudos
- 1635 Views
- 1 replies
- 0 kudos
Databricks cli workflow
Is there a way that I can set up and configure a Databricks workflow job and tasks from Databricks cli or api tools by using python? Any help would be appreciated. #databricksworkflow #databricks
- 1635 Views
- 1 replies
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Hello and yes, you can set up and configure a Databricks workflow job and tasks using Databricks CLI or API tools with Python. Here are some resources and steps to guide you: Create and run Databricks Jobs: This document: ( https://docs.databrick...
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- 1645 Views
- 2 replies
- 1 kudos
Address Validation, Correction and Enrichment with Databricks Spark Engine
Hi all!In our project, we're thinking about "Validation, Correction and Enrichment of Postal Addresses" with Databricks. For sure we'd need some kind of batch processing, because we have millions of addresses in our system.I'm aware of Address Valida...
- 1645 Views
- 2 replies
- 1 kudos
- 1 kudos
Happy to help. Feel free to reach out https://www.linkedin.com/in/saleh-sultan-143ab036?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
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- 609 Views
- 1 replies
- 0 kudos
udf in databricks
Hi Team,Is there a particular reason why we should avoid using UDF and instead convert to DataFrame code?Are there any restrictions or limitations (in terms of performance or governance) when using UDFs in Databricks? Regards,Janga
- 609 Views
- 1 replies
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Hello some of the things you need to take in consideration is that:UDFs might introduce significant processing bottlenecks into code execution. Databricks uses a number of different optimizers automatically for code written with included Apache Spark...
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- 690 Views
- 1 replies
- 0 kudos
IP address for accessing external SFTP server
I am trying to pull in data to my Databricks workspace via an external SFTP server. I am using Azure for my compute. To access the SFTP server they need to whitelist my IP address. My IP address in Azure Databricks seems to be constantly changing fro...
- 690 Views
- 1 replies
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Azure Databricks, like many cloud services, does not provide static IP addresses for outbound connections. This is because the compute resources are dynamically allocated and can change over time. One potential workaround could be to use a Virtual N...
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- 23334 Views
- 2 replies
- 7 kudos
What's the difference between a Global view and a Temp view?
The difference between Global and Temp is how the lifetime of the view is tied to the application:http://spark.apache.org/docs/latest/api/python/reference/api/pyspark.sql.DataFrame.createOrReplaceTempView.html?highlight=createorreplacetempview#pyspar...
- 23334 Views
- 2 replies
- 7 kudos
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Correct A Temp View is scoped to the SparkSession and dropped when that session closes. Each notebook runs in its own SparkSession. The Global Temp View is scoped to the cluster and dropped when the cluster re-starts or you drop it. ---------------...
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- 11792 Views
- 7 replies
- 4 kudos
Resolved! Pass date value as parameter in Databricks SQL notebook
I want to pass yesterday date (In the example 20230115*.csv) in the csv file. Don't know how to create parameter and use it here.CREATE OR REPLACE TEMPORARY VIEW abc_delivery_logUSING CSVOPTIONS ( header="true", delimiter=",", inferSchema="true", pat...
- 11792 Views
- 7 replies
- 4 kudos
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@Kaniz_Fatma @sp1 @Chaitanya_Raju @daniel_sahal Hi Everyone,I need the same scenario on SQL code, because my DBR cluster not allowed me to run python codeError: Unsupported cell during execution. SQL warehouses only support executing SQL cells.I appr...
- 4 kudos
- 8973 Views
- 10 replies
- 6 kudos
Databricks now supports event-driven workloads, especially for loading cloud files from external locations. This means you can save costs and resource...
Databricks now supports event-driven workloads, especially for loading cloud files from external locations. This means you can save costs and resources by triggering your Databricks jobs only when new files arrive in your cloud storage instead of mou...
- 8973 Views
- 10 replies
- 6 kudos
- 6 kudos
@daniel_sahal I get your point, but if for a scheduled trigger you can get all kind of attributes on the trigger time (arguably, this is available for all the triggers), then why wouldn't the most important attribute of a file event not be available ...
- 6 kudos