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I am writing data to cosmos DB using Python & Spark on DatabricksI am getting below error :org.apache.spark.SparkException: Job aborted due to stage failure: Authorized committer (attemptNumber=0, stage=192, partition=105) failed; but task commit suc...
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...
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 ...
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...
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...
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...
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")
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 ...
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...
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...
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...
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...
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.
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