MLflow CVE-2023-6015 (vulnerabilities)
Hi,what mlflow version is used for the "Databricks Managed MLflow"Is there a workarround for MLflow CVE-2023-6015 (vulnerabilities) ?RegardsTimo
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Hi,what mlflow version is used for the "Databricks Managed MLflow"Is there a workarround for MLflow CVE-2023-6015 (vulnerabilities) ?RegardsTimo
I am looking to run spark-sql-perf on a databricks cluster I am not sure how to create a session that add spark-sql-perf jar dependencies
I am currently using a personal computer cluster [13.3 LTS (includes Apache Spark 3.4.1, Scala 2.12)] on GCP attached to a notebook. After running a few command lines without an issue, I end up getting this errorInternal error. Attach your notebook t...
Hello,at some point I tested Databricks for a potential customer and, after the test, I cancelled the subscription.I read that it is not possible to resubscribe with the same e-mail address. Therefore, my idea would be to delete the account I created...
I have a similar issue. I subscribed to Databricks using AWS account email. I cancelled it later. Now I want to start using Databricks on AWS again using the same email id and with pay as you go plan. But there is no way to re-subscribe. If this can...
Hi I am just getting started in databricks would appreciate some help here.I have 10TB TPCDS in S3 i a hive partition structure.My goal is to benchmark a data bricks cluster on this data.after setting all IAM credentials according to this https://doc...
Hello,I have a single column dataframe and I want to transform the content into a stringEG df=abcdefxyzToabc, def, xyz Thanks
Hi Expert,How we can setup multiple notebook in a sequence order in flow for an example 1 pipeline have notebook1 - sequence 1,Notebook2- Sequence 2(in 1pipeline only)
Not sure how to approach your challenge but something you can is to use the Databricks Job Scheduler or if you want an external solution in Azure you can call several notebooks from DataFactory.
HelloAfter upgrading my cluster from DBR 12 to 14.1 I got a MISSING_ATTRIBUTES.RESOLVED_ATTRIBUTE_APPEAR_IN_OPERATION on some of my Joinsdf1.join( df2, [df1["name"] == df2["name"], df1["age"] == df2["age"]], 'left_outer' )I resolved it by...
Hello community!I'm currently working on Spark scripts for data processing and facing some performance challenges. Any tips or suggestions on optimizing code for better efficiency? Your expertise is highly appreciated! paybyplatema Thanks.
I was trying to push .ipynb file to github from Azure DB to github and appears that original file is converted to source code as .py.Why does databricks do this and how can I control which ones to do or not ?I need to keep some files as .ipynb.Thanks...
Hi,I'm trying to call the DLT api to kickoff my delta live table flow with a web API call block from Azure Data Factory. I have two environments: one DEV and one PROD.The DEV environment works fine, the response is giving me the update_id, but the PR...
i have usecase to call rest API and then return response file with base64Is it possible save the response directly to ADLS without convert it to file first ?
Hi. Recently, I've found that Databricks is really slow when editing notebooks, such as adding cells, copying and pasting text or cells, etc. It's just the past few weeks actually. I'm using Chrome version 118.0.5993.118. Everything else with Chrome ...
It seems related to the notebook length (number of cells). The notebook that was really slow had about 40-50 cells, which I've done before without issue. Anyway after starting a new notebook using Chrome, it seems useable again. So without a specific...
I have installed graphframes library from maven repository in the cluster (13.3 LTS (includes Apache Spark 3.4.1, Scala 2.12), Standard DS4_v2). The library that I have installed is graphframes:graphframes:0.8.3-spark3.5-s_2.13.I can import the graph...
Unable to run query- Insert into with 'Nan' value in SQL Editor.Query :-Insert into ABC with values('xyz',123,Nan);Error :-org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation cannot be cast to org.apache.spark.sql.execution.datasources...
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