Hi,I'm looking for information how to create/mount ephemeral storage to Databricks driver node in Azure Cloud. Does anyone have any experience working with ephemeral storage?Thanks,
Hi,I'm looking for a DataBricks client for Rust. I could only find these SDK implementations.Alternatively, I would be very happy with the OpenAPI spec. Clearly one exists: the Go SDK implementation contains code to generate itself from such a spec...
Databricks REST API referenceThis reference contains information about the Databricks application programming interfaces (APIs). Each API reference page is presented primarily from a representational state transfer (REST) perspective. Databricks REST...
Hi Community,I'm trying to load data from the landing zone to the bronze layer via DLT- Autoloader, I want to add a column record_id to the bronze table while I fetch my data. I'm also using file arrival trigger in the workflow to update my table inc...
Hey @Retired_mod - could you or any body from the community team help me here, please? I've been stuck since quite some time now.
Hi All,I have a deeply nested spark dataframe struct something similar to below |-- id: integer (nullable = true) |-- lower: struct (nullable = true) | |-- field_a: integer (nullable = true) | |-- upper: struct (containsNull = true) | | ...
@Aidonis You can try this as well:flatten-spark-dataframe · PyPIThis also allows for specific level of flattening.
Hey Community!Just curious if anyone has tried using Azure Synapse for orchestration and passing parameters from Synapse to a Databricks Notebook. My team is testing out Databricks, and I'm replacing Synapse Notebooks with Databricks Notebooks, but I...
Hi @SPres You can definitely pass these parameters to databricks notebook also.Please refer below docs - Run a Databricks Notebook with the activity - Azure Data Factory | Microsoft Learn
Hi community,Currently, I am training models on databricks cluster and use mlflow to log and register models. My goal is to send notification to me when a new version of registered model happens (if the new run achieves some model performance baselin...
I see two articles on databricks documentationshttps://docs.databricks.com/en/archive/azure/synapse-polybase.html#language-pythonhttps://docs.databricks.com/en/connect/external-systems/synapse-analytics.html#service-principal Polybase one is legacy o...
Dear Members,I need your help in below scenario.I am passing few parameters from ADF pipeline to Databricks notebook.If I execute ADF pipeline to run my databricks notebook and use these variables as is in my code (python) then it works fine.But as s...
Hi @Abhi0607 Can you please help me to find if you are taking or defining these parameter value outside try catch or inside it ?
I renamed our service principal in Terraform, which forces a replacement where the old service principal is removed and a new principal with the same permission is recreated. The Terraform succeeds to apply, but when I try to run dbt that creates tab...
This is also true for removing groups before unassigning them (removing and unassigning in Terraform)│ Error: cannot update grants: Could not find principal with name <My Group Name>
Hello Spark Community,I'm encountering an issue with parsing dates in a Spark DataFrame due to inconsistent date formats across my datasets. I need to identify and parse dates correctly, irrespective of their format. Below is a brief outline of my p...
How about not specifying the format? This will already match common formats.When you still have nulls, you can use your list with known exotic formats.Another solution is working with regular expressions. looking for 2 digit numbers not larger than...
Upon reading a CSV file with schema inference enabled, I've noticed that a column originally designated as string datatype contains numeric values with leading zeros. However, upon reading the data to Pyspark data frame, it undergoes automatic conver...
if you set .option("inferSchema", "false") all columns will be read as string.You will have to cast all the other columns to their appropriate type though. So passing a schema seems easier to me.
Hi!Started a job yesterday. It was iterating over data, 2-months at a time, and writing to a table. It was successfully doing this for 4 out of 6 time periods. The 5th time period however, got stuck, 5 hours in.I can find one Failed Stage that reads ...
As Spark is lazy evaluated, using only small clusters for read and large ones for writes is not something that will happen.The data is read when you apply an action (write f.e.).That being said: I have no knowledge of a bug in Databricks on clusters...
Hi everybody,I'm trying to setup a connection between Databricks' Notebooks and an external PostgreSQL database through a SSH-tunnel. On a single-node cluster, this is working perfectly fine. However, when this is ran on a multi-node cluster, this co...
I doubt it is possible.The driver runs the program, and sends tasks to the executors. But since creating the ssh tunnel is no spark task, I don't think it will be established on any executor.
Hi, I am using Azure databricks and we recently enabled UC in our workspace. We have some tables in our non UC metastore that we want to move to a UC enabled metastore. Is there any way we can move these tables without loosing the delta table history...
Hello,It is possible to have the expected result with dbutils.fs.cp("Origin location", "Destination location", True) and then create the table with the LOCATION of the Destination locationHope this helps
Running a single table is fast, but running 80 tables at the same time takes a long time, is it serial queued execution? Isn't it concurrent?
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