Hi Everyone,We are trying to implement Row Level Security In Delta Table and done testing (i.e. sql execution api,sql editor,sql notebook) using Sql Serverless in Unity Catalog.But when tried to access the table having RLS in Notebook using Pyspark w...
I successfully registered in my Unity Catalog an external Database ```dwcore``` that is hosted on SQL server.I first added the connection in "External Data": tested the connection and it was successful.I then added the database on top: tested the con...
Hello everybody ! I am trying to use the Dask-Databricks distribution (https://github.com/dask-contrib/dask-databricks?tab=readme-ov-file)i set up the required init-script according to the instructions on the Github page and had no problems there, h...
Hi @amitca71 @atanu .. yes you can associate as many vpcs(workspace deployment fundamental) across regions and aws accounts to one single databricks aws account infact its one of the super powers of databricks platform and you can even track all thei...
I have a strange issue after an OPTIMIZE, no results are returned anymore.I can time travel over the version easily but passed this data nothing when I'm doing a simple SELECT *.But I still got a result when I'm doing a SELECT count(*).How is this po...
In Azure Databricks the DBFS storage account is open to all networks. Changing that to use a private endpoint or minimizing access to selected networks is not allowed.Is there any way to add network security to this storage account? Alternatively, is...
How can we secure the storage account in the managed resource group which holds the DBFS with restricted network access, since access from all networks is blocked by our Azure storage account policy?
i'm getting this error: Exception in thread "main" org.apache.spark.sql.catalyst.parser.ParseException: [PARSE_SYNTAX_ERROR] Syntax error at or near ','.(line 1, pos 18) == SQL == sum(mp4) AS Videos, sum(csv+xlsx) AS Sheets, sum(docx+txt+pdf) AS Docu...
I have a medallion architecture: Bronze layer: Raw data in tablesSilver layer: Refined data in views created from the bronze layerGold layer: Data products as views created from the silver layerCurrently I have a data scientist that needs access to d...
Single-user clusters use a different security mode which is the reason for this difference. On single-user/assigned clusters, you'll need the Fine Grained Access Control service (which is a Serverless service) - that is the solution to this problem (...
I'm trying to addmonotonicallyIncreasingId() column to a streaming table and I see the following errorFailed to start stream [table_name] in either append mode or complete mode. Append mode error: Expression(s): monotonically_increasing_id() is not s...
Is aggregations with row_number() combined with a SQL window function and a watermark still supported in Databricks 14.3?
Hi team, When I create a DLT job, is there a way to control the cluster runtime version somewhere? E.g. I want to use 14.3 LTS. I tried to add `"spark_version": "14.3.x-scala2.12",` inside cluster default label but not work.Thanks
Thanks. Got it.And the cluster has to be share mode. Can different DLT jobs share clusters or when DLT job is running, can other people use the cluster? Seems each DLT job running will start a new cluster. If it is not be able to shared, why it has t...
Can someone explain why this below code is throwing an error? My intuition is telling me it's my spark version (3.2.1) but would like confirmation:d = {'key':['a','a','c','d','e','f','g','h'], 'data':[1,2,3,4,5,6,7,8]} x = ps.DataFrame(d) x[x['...
@pjp94 - The error indicates the pandas pyspark implementation does not have the below method implemented. pd.Series.duplicated() Next steps is to use dataframe methods such as distinct, groupBy, dropDuplicates to resolve this.
TimeoutException: Stream Execution thread for stream [id = xxx runId = xxxx] failed to stop within 15000 milliseconds (specified by spark.sql.streaming.stopTimeout). See the cause on what was being executed in the streaming query thread.I have a data...
@User_1611 - could you please try the following ? Reduce the number of streaming queries running on the same clusterMake sure your code does not try to re-trigger/start an active streaming queryMake sure to collect the thread dumps if this error hap...
I have 50k + parquet files in the in azure datalake and i have mount point as well. I need to read all the files and load into a dataframe. i have around 2 billion records in total and all the files are not having all the columns, column order may di...
@Shan1 - This could be due to the files have cols that differ by data type. Eg. Integer vs long , Boolean vs integer. can be resolved by schemaMerge=False. Please refer to this code. https://github.com/apache/spark/blob/418bba5ad6053449a141f3c9c31e...
Hi everyone,I am using DBR version 13 and Managed tables in a custom catalog location of table is AWS S3.running notebook on single user clusterI am facing MalformedInputException while saving data to Tables or reading it.When I am running my noteboo...
@Retired_mod The issue is resolved as soon as I deployed it to mutlinode dev cluster.Issue is only occurring in single user clusters. Looks like limitation of running all updates in one node as distributed system.
There is no resource to create All Purpose Cluster, but I need it, so does it mean I should create it via Terraform or DBX and reference to it, which I dont prefer?
Hello @Ayushi_Suthar, Thanks for the quick reply! Where can I see these requests?https://ideas.databricks.com/ideas/DB-I-9451 ?
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