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...
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...
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...
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
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...
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...
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
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
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...
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...
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. ---------------...
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...
@Retired_mod @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...
Hi, I am loading data from a kinesis data stream using DLT. CREATE STREAMING TABLE Consumers_kinesis_2 ( ..., unbase64(data) String, ... ) AS SELECT * FROM STREAM read_kinesis (...) Is it possible to directly cast, unbase64, and/or transform the resu...
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...
@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 ...
Hello,We have unity catalog enabled workspace. To get the completion time of a pipeline that runs multiple times a day, I am checking system.access.audit table. Comparing the completion time of the pipeline compared to other pipeline time I am creat...
@angel_ba System tables are still in public preview thus there are some limitations, one of them is a blocker for your use case.Currently no support for real-time monitoring. Data is updated throughout the day. If you don’t see a log for a recent eve...
Hi, Is there any connectivity pipeline established already to access MuleSoft or AnyPoint exchange data using Databricks. I have seen many options to access databricks data in mulesoft but can we read the data from Mulesoft into databricks. Please gi...
I use AWS Databricks which has an SSO&Scim integration with AAD. I generated an SPN in AAD, synced it to Databricks, and want to use this SPN with using AAD client secrets to use Databricks SDK. But it doesnt work. I dont want to generate another tok...
Hi,I was trying to open the Workflows but there is an error "An error occurred when loading Jobs and Workflows App." we need help to know why it happened and how we can resolve it please.
Same...and the weirdest is that all of the services looks healthy in https://status.databricks.com/Region: eu-central-1Provider: AWSCould anyone provide some info here?
Hello Community Folks -Did anyone implemented migration of notebooks that is in workspace to production databricks workspace using Databricks Asset Bundle? If so can you please help me with any documentation which I can refer? Thanks!!RegardsNiruban ...
Hi everyone!I want to use in-memory cached views in a merge into operation, but I am not entirely sure if the exactly saved in-memory view is used in this operation or not.So, suppose I have a table named table_1 and a cached view named cached_view_1...
@deng_dev - Are you using external metastore by any chance. From the physical plan, we could see the catalog`.`db`.`table_1` is not cached. If it is glue catalog, then caching can be enabled based on the below configs in the article below https://do...
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